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ORCIDQuan Liu
This is just a disambiguation page, and is not intended to be the bibliography of an actual person. Any publication listed on this page has not been assigned to an actual author yet. If you know the true author of one of the publications listed below, you are welcome to contact us.
Person information
Other persons with a similar name
- Guo-Quan Liu
- Jin Quan Liu
- Jing-Quan Liu (aka: Jingquan Liu) — disambiguation page
- Quan-Xing Liu
- Quan-Zhi Liu
- Quanhui Liu (aka: Quan-Hui Liu)
- Wanquan Liu
![[0000-0003-4910-353X]](https://dblp.uni-trier.de/img/orcid-mark.12x12.png "0000-0003-4910-353X")
(aka: Wan Quan Liu) — Department of Electrical and Electronic Engineering, University of Western Australia, Perth, WA, Australia (and 1 more) - Yan Quan Liu
- Qingquan Liu 0001 (aka: Qing-Quan Liu 0001) — Shenyang Ligong University, College of Equipment Engineering, China
- Liu Quan
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2020 – today
- 2025
[j217]Zhechao Wang, Qiming Fu, Jianping Chen, Quan Liu, You Lu, Hongjie Wu, Fuyuan Hu:
LinFa-Q: Accurate Q-learning with linear function approximation. Neurocomputing 611: 128654 (2025)- 2024
- [j216]Jiwei Hu, Tianhao Wang, Qiwen Jin, Chengli Peng, Quan Liu:
A multi-domain dual-stream network for hyperspectral unmixing. Int. J. Appl. Earth Obs. Geoinformation 135: 104247 (2024) - [j215]Kun Chen, Shulong Chai, Tianli Xie, Quan Liu, Li Ma:
EEG spatial inter-channel connectivity analysis: A GCN-based dual stream approach to distinguish mental fatigue status. Artif. Intell. Medicine 157: 102996 (2024) - [j214]Qi Xu, Longgang Xiang, Huayi Wu, Chuang Tao, Haocheng Wang, Liebing Yu, Quan Liu, Xumei Wang:
Dynamic heatmap pyramid computation for massive high-parallel spatial streaming in urban environments. Int. J. Digit. Earth 17(1) (2024) - [j213]Feifei Li, Yongli Mou, Zeyu Zhang, Quan Liu, Sabina Jeschke:
A novel model for the pavement distress segmentation based on multi-level attention DeepLabV3+. Eng. Appl. Artif. Intell. 137: 109175 (2024) - [j212]Zhigang Huang, Quan Liu, Fei Zhu, Lihua Zhang, Lan Wu:
Hierarchical reinforcement learning with unlimited option scheduling for sparse rewards in continuous spaces. Expert Syst. Appl. 237(Part B): 121467 (2024) - [j211]Jianmin Tang, Quan Liu, Fanzhang Li, Fei Zhu:
RLUC: Strengthening robustness by attaching constraint considerations to policy network. Expert Syst. Appl. 237(Part B): 121475 (2024) - [j210]Hao Lin, Yue He, Fanzhang Li, Quan Liu, Bangjun Wang, Fei Zhu:
Taking complementary advantages: Improving exploration via double self-imitation learning in procedurally-generated environments. Expert Syst. Appl. 238(Part E): 122145 (2024) - [j209]Weicheng Xiong, Quan Liu, Fanzhang Li, Bangjun Wang, Fei Zhu:
Personalized federated reinforcement learning: Balancing personalization and experience sharing via distance constraint. Expert Syst. Appl. 238(Part F): 122290 (2024) - [j208]Guangsheng Dong, Rui Li, Huayi Wu, Wei Huang, Hongping Zhang, Vincent Tao, Quan Liu:
Learning the spatial co-occurrence for browsing interests extraction of domain users on public map service platforms. Geo spatial Inf. Sci. 27(2): 455-474 (2024) - [j207]Renyang You, Quan Liu:
Deep Luenberger observer-based consistency tracking for nonlinear heterogeneous multi-agent systems with uncertain drift dynamics. Knowl. Based Syst. 284: 111264 (2024) - [j206]Junbo Lian, Jingyu Zhang, Quan Liu, Runhao Zhu, Jingyuan Ning, Siyi Xiong, Guohua Hui, Yuanyuan Gao, Xiong-wei Lou:
A single-wavelength laser relaxation spectroscopy-based machine learning solution for apple mechanical damage detection. Multim. Tools Appl. 83(24): 64617-64635 (2024) - [j205]Wupeng Deng, Quan Liu, Duc Truong Pham, Jiwei Hu, Kin-Man Lam, Yongjing Wang, Zude Zhou:
Predictive exposure control for vision-based robotic disassembly using deep learning and predictive learning. Robotics Comput. Integr. Manuf. 85: 102619 (2024) - [j204]Wupeng Deng, Quan Liu, Feifan Zhao, Duc Truong Pham, Jiwei Hu, Yongjing Wang, Zude Zhou:
Learning by doing: A dual-loop implementation architecture of deep active learning and human-machine collaboration for smart robot vision. Robotics Comput. Integr. Manuf. 86: 102673 (2024) - [j203]Qingsong Ai, Zemin Liu, Wei Meng, Quan Liu, Shengquan Xie:
Uncertainty Compensated High-Order Adaptive Iteration Learning Control for Robot-Assisted Upper Limb Rehabilitation. IEEE Trans Autom. Sci. Eng. 21(4): 7004-7015 (2024) - [j202]Jun-Yu Ma, Jia-Chen Gu, Zhen-Hua Ling, Quan Liu, Cong Liu, Guoping Hu:
Syntax-Augmented Hierarchical Interactive Encoder for Zero-Shot Cross-Lingual Information Extraction. IEEE ACM Trans. Audio Speech Lang. Process. 32: 4795-4809 (2024) - [j201]Zemin Liu, Qingsong Ai, Haojie Liu, Wei Meng, Quan Liu:
Human-Like Trajectory Planning Based on Postural Synergistic Kernelized Movement Primitives for Robot-Assisted Rehabilitation. IEEE Trans. Hum. Mach. Syst. 54(2): 152-161 (2024) - [j200]Fazheng Hou, Wei Meng, Li Ma, Kun Chen, Qingsong Ai, Quan Liu, Shengquan Xie:
MECAM: A Novel Multi-Axis EEG Channel Attention Model for Emotion Recognition. IEEE Trans. Instrum. Meas. 73: 1-13 (2024) - [j199]Zhenxi Wang, Hongzi Zhu, Yunxiang Cai, Quan Liu, Shan Chang, Liang Zhang, Minyi Guo:
Enabling Long Range Point Cloud Registration in Vehicular Networks via Muti-Hop Relays. IEEE Trans. Mob. Comput. 23(12): 14821-14833 (2024) - [c226]Kai Zhai, Quan Liu, Yuyang Xiong, Xiaohan Qu, Jun Yang:
MVMS-GCN: A Multi-view Multi-source data fusion graph convolution neural network for predicting autism spectrum disorder with fMRI. BIC 2024 - [c225]Lingbo Ye, Quan Liu:
Design and optimization of control system for automatic paper laying machine. CCEAI 2024: 183-187 - [c224]Ruining Deng, Quan Liu, Can Cui, Tianyuan Yao, Jialin Yue, Juming Xiong, Lining Yu, Yifei Wu, Mengmeng Yin, Yu Wang, Shilin Zhao, Yucheng Tang, Haichun Yang, Yuankai Huo:
PrPSeg: Universal Proposition Learning for Panoramic Renal Pathology Segmentation. CVPR 2024: 11736-11746 - [c223]Quan Liu, Hongzi Zhu, Zhenxi Wang, Yunsong Zhou, Shan Chang, Minyi Guo:
Extend Your Own Correspondences: Unsupervised Distant Point Cloud Registration by Progressive Distance Extension. CVPR 2024: 20816-20826 - [c222]Quan Liu, Zhenhong Zhou, Longzhu He, Yi Liu, Wei Zhang, Sen Su:
Alignment-Enhanced Decoding: Defending Jailbreaks via Token-Level Adaptive Refining of Probability Distributions. EMNLP 2024: 2802-2816 - [c221]Jiahui Yu, Jun Yang, Chang Zhu, Wei Meng, Quan Liu, Zude Zhou:
Hybrid CNN-LSTM-Transformer Model for Robust Muscle Fatigue Detection during Rehabilitation Using sEMG Signals. ICARM 2024: 51-56 - [c220]Yue Yu, Jun Yang, Zhixiong Zhou, Wei Meng, Quan Liu, Zude Zhou:
Dual-Stream CNN-Transformer Network for Accurate Grasp Intention Recognition Based on sEMG and Finger Joint Angles. ICARM 2024: 507-512 - [c219]Yaqin Liang, Wei Meng, Kun Chen, Qingsong Ai, Quan Liu:
DSPM-Net: Dual Stream Pyramid Mixed UNeXt Network for Automatic Medical Image Segmentation. ICARM 2024: 643-648 - [c218]Yiyang Hu, Quan Liu, Wei Meng, Junwei Yan, Qingsong Ai, Yi Zhong:
sEMG-Based Ankle Joint Torque Prediction by Combining CNN-LSTM and SENet Attention. ICARM 2024: 990-995 - [c217]Fazheng Hou, Wei Meng, Kun Chen, Li Ma, Quan Liu:
LCNN: A Lightweight Convolutional Neural Network with Improved Activation Function for EEG-based Emotion Recognition. ICARM 2024: 996-1001 - [c216]Lan Wu, Quan Liu, Lihua Zhang, Zhigang Huang:
Offline Reinforcement Learning with Policy Guidance and Uncertainty Estimation. ICASSP 2024: 5010-5014 - [c215]Lan Wu, Quan Liu, Lihua Zhang, Zhigang Huang:
Offline Reinforcement Learning with Generative Adversarial Networks and Uncertainty Estimation. ICASSP 2024: 5255-5259 - [c214]Jie Yan, Quan Liu, Lihua Zhang:
Offline Reinforcement Learning Based on Next State Supervision. ICASSP 2024: 5775-5779 - [c213]Yan Jia, Quan Liu, Heng Yu, Yan Lv, Zhen Wu, Shuanggen Jin, Fabio Peinetti, Patrizia Savi:
Machine Learning Analysis of CYGNSS Data for Chlorophyll Concentration Monitoring in Algal Blooms. IGARSS 2024: 1025-1028 - [c212]Yuchao Jin, Quan Liu:
Multi-Agent Self-Motivated Learning via Role Representation. IJCNN 2024: 1-7 - [c211]Zhenxi Wang, Hongzi Zhu, Yunxiang Cai, Quan Liu, Shan Chang, Liang Zhang:
LoRaPCR: Long Range Point Cloud Registration through Multi-hop Relays in VANETs. INFOCOM 2024: 1311-1320 - [c210]Shunxing Bao, Junlin Guo, Ho Hin Lee, Ruining Deng, Can Cui, Lucas W. Remedios, Quan Liu, Qi Yang, Kaiwen Xu, Xin Yu, Jia Li, Yike Li, Joseph T. Roland, Qi Liu, Ken S. Lau, Keith T. Wilson, Lori A. Coburn, Bennett A. Landman, Yuankai Huo:
Mitigating Over-Saturated Fluorescence Images Through a Semi-Supervised Generative Adversarial Network. ISBI 2024: 1-5 - [c209]Wei Meng, Yunsong Wang, Nian Peng, Nan Xia, Quan Liu:
Sensitivity-enhanced FBG Sensors for Human Body Temperature Monitoring. M2VIP 2024: 1-6 - [c208]Yuan Cao, Wei Meng, Zhixiong Zou, Jingjing Kong, Quan Liu, Qingsong Ai:
Design and Validation of a Wearable and Programmable Functional Electrical Stimulator Based on MCU. M2VIP 2024: 1-6 - [c207]Sisi Chi, Kun Chen, Junjian Xu, Quan Liu, Yijie Zhao, Haibo Zhang, Adan Ren, Li Ma:
Pupil localization based on dual edges and occlusion compensation. M2VIP 2024: 1-6 - [c206]Wenshuang Song, Wei Meng, Nian Peng, Quan Liu:
Walking Ability Assessment Based on Non-negative Matrix Decomposition and Support Vector Regression. M2VIP 2024: 1-6 - [c205]Wenjin Xu, Wei Meng, Chang Zhu, Jingjing Kong, Quan Liu, Qingsong Ai:
Spatial-Temporal Fusion Network with Hybrid Attention for Energy Expenditure Prediction Based on Multi-Sensor. M2VIP 2024: 1-6 - [c204]Wenqin Zhu, Wei Meng, Nian Peng, Kun Chen, Quan Liu:
Vision-Based Human Activity Recognition Utilizing DCNN and Stacked Multi-stage Multimodal Fusion Strategy. M2VIP 2024: 1-6 - [c203]Ruining Deng, Quan Liu, Can Cui, Tianyuan Yao, Juming Xiong, Shunxing Bao, Hao Li, Mengmeng Yin, Yu Wang, Shilin Zhao, Yucheng Tang, Haichun Yang, Yuankai Huo:
HATs: Hierarchical Adaptive Taxonomy Segmentation for Panoramic Pathology Image Analysis. MICCAI (4) 2024: 155-166 - [c202]Yongfeng Fu, Quan Liu, Xiongzhen Zhang, Huazhang Li, Lan Wu:
Generatice Adversarial Imitation Learning Algorithm Based on Improved Curiosity Module. PRCV (2) 2024: 435-447 - [i84]Quan Liu, Jiawen Yao, Lisha Yao, Xin Chen, Jingren Zhou, Le Lu, Ling Zhang, Zaiyi Liu, Yuankai Huo:
M2Fusion: Bayesian-based Multimodal Multi-level Fusion on Colorectal Cancer Microsatellite Instability Prediction. CoRR abs/2401.07854 (2024) - [i83]Zhenhong Zhou, Jiuyang Xiang, Haopeng Chen, Quan Liu, Zherui Li, Sen Su:
Speak Out of Turn: Safety Vulnerability of Large Language Models in Multi-turn Dialogue. CoRR abs/2402.17262 (2024) - [i82]Ruining Deng, Quan Liu, Can Cui, Tianyuan Yao, Jialin Yue, Juming Xiong, Lining Yu, Yifei Wu, Mengmeng Yin, Yu Wang, Shilin Zhao, Yucheng Tang, Haichun Yang, Yuankai Huo:
PrPSeg: Universal Proposition Learning for Panoramic Renal Pathology Segmentation. CoRR abs/2402.19286 (2024) - [i81]Quan Liu, Hongzi Zhu, Zhenxi Wang, Yunsong Zhou, Shan Chang, Minyi Guo:
Extend Your Own Correspondences: Unsupervised Distant Point Cloud Registration by Progressive Distance Extension. CoRR abs/2403.03532 (2024) - [i80]Quan Liu, Brandon T. Swartz, Ivan I. Kravchenko, Jason G. Valentine, Yuankai Huo:
ExtremeMETA: High-speed Lightweight Image Segmentation Model by Remodeling Multi-channel Metamaterial Imagers. CoRR abs/2405.17568 (2024) - [i79]Quan Liu, Ruining Deng, Can Cui, Tianyuan Yao, Vishwesh Nath, Yucheng Tang, Yuankai Huo:
mTREE: Multi-Level Text-Guided Representation End-to-End Learning for Whole Slide Image Analysis. CoRR abs/2405.17824 (2024) - [i78]Jialin Yue, Tianyuan Yao, Ruining Deng, Quan Liu, Juming Xiong, Haichun Yang, Yuankai Huo:
Weighted Circle Fusion: Ensembling Circle Representation from Different Object Detection Results. CoRR abs/2406.19540 (2024) - [i77]Ruining Deng, Quan Liu, Can Cui, Tianyuan Yao, Juming Xiong, Shunxing Bao, Hao Li, Mengmeng Yin, Yu Wang, Shilin Zhao, Yucheng Tang, Haichun Yang, Yuankai Huo:
HATs: Hierarchical Adaptive Taxonomy Segmentation for Panoramic Pathology Image Analysis. CoRR abs/2407.00596 (2024) - [i76]Yucheng Tang, Yufan He, Vishwesh Nath, Pengfei Guo, Ruining Deng, Tianyuan Yao, Quan Liu, Can Cui, Mengmeng Yin, Ziyue Xu, Holger Roth, Daguang Xu, Haichun Yang, Yuankai Huo:
HoloHisto: End-to-end Gigapixel WSI Segmentation with 4K Resolution Sequential Tokenization. CoRR abs/2407.03307 (2024) - [i75]Can Cui, Ruining Deng, Junlin Guo, Quan Liu, Tianyuan Yao, Haichun Yang, Yuankai Huo:
PFPs: Prompt-guided Flexible Pathological Segmentation for Diverse Potential Outcomes Using Large Vision and Language Models. CoRR abs/2407.09979 (2024) - [i74]Muyang Li, Can Cui, Quan Liu, Ruining Deng, Tianyuan Yao, Marilyn Lionts, Yuankai Huo:
Dataset Distillation in Medical Imaging: A Feasibility Study. CoRR abs/2407.14429 (2024) - [i73]Lining Yu, Mengmeng Yin, Ruining Deng, Quan Liu, Tianyuan Yao, Can Cui, Yu Wang, Yaohong Wang, Shilin Zhao, Haichun Yang, Yuankai Huo:
Adapting Mouse Pathological Model to Human Glomerular Lesion Segmentation. CoRR abs/2407.18390 (2024) - [i72]Junlin Guo, Siqi Lu, Can Cui, Ruining Deng, Tianyuan Yao, Zhewen Tao, Yizhe Lin, Marilyn Lionts, Quan Liu, Juming Xiong, Catie Chang, Mitchell Wilkes, Mengmeng Yin, Haichun Yang, Yuankai Huo:
Assessment of Cell Nuclei AI Foundation Models in Kidney Pathology. CoRR abs/2408.06381 (2024) - [i71]Quan Liu, Zhenhong Zhou, Longzhu He, Yi Liu, Wei Zhang, Sen Su:
Alignment-Enhanced Decoding:Defending via Token-Level Adaptive Refining of Probability Distributions. CoRR abs/2408.07663 (2024) - [i70]Yaxuan Wang, Jiaheng Wei, Chris Yuhao Liu, Jinlong Pang, Quan Liu, Ankit Parag Shah, Yujia Bao, Yang Liu, Wei Wei:
LLM Unlearning via Loss Adjustment with Only Forget Data. CoRR abs/2410.11143 (2024) - [i69]Junlin Guo, Siqi Lu, Can Cui, Ruining Deng, Tianyuan Yao, Zhewen Tao, Yizhe Lin, Marilyn Lionts, Quan Liu, Juming Xiong, Yu Wang, Shilin Zhao, Catie Chang, Mitchell Wilkes, Mengmeng Yin, Haichun Yang, Yuankai Huo:
How Good Are We? Evaluating Cell AI Foundation Models in Kidney Pathology with Human-in-the-Loop Enrichment. CoRR abs/2411.00078 (2024) - 2023
- [j198]Qingsong Ai, Jun Zhang, Quan Liu, Chuanjie Zhang, Qiyuan Chen, Junwei Yan:
Bulk Cargo Multimodal Transportation on Inland Waterways Considering Transport Wastage. IEEE Access 11: 139575-139586 (2023) - [j197]Zhihao Liu, Quan Liu, Wenjun Xu, Lihui Wang, Zhenrui Ji:
Adaptive real-time similar repetitive manual procedure prediction and robotic procedure generation for human-robot collaboration. Adv. Eng. Informatics 58: 102129 (2023) - [j196]Senyuan Wang, Xinyi Liu, Yongjun Zhang, Jonathan Li, Siyuan Zou, Jipeng Wu, Chuang Tao, Quan Liu, Guorong Cai:
Semantic-guided 3D building reconstruction from triangle meshes. Int. J. Appl. Earth Obs. Geoinformation 119: 103324 (2023) - [j195]Jiaqing Cao, Quan Liu, Lan Wu, Qiming Fu, Shan Zhong:
Temporal-difference emphasis learning with regularized correction for off-policy evaluation and control. Appl. Intell. 53(18): 20917-20937 (2023) - [j194]Kun Chen, Huchuan Jing, Quan Liu, Qingsong Ai, Li Ma:
A novel caps-EEGNet combined with channel selection for EEG-based emotion recognition. Biomed. Signal Process. Control. 86(Part C): 105312 (2023) - [j193]Jiale Lu, Baofeng Pan, Weixin Ren, Quan Liu, Pengfei Liu, Markus Oeser:
Regeneration of pavement surface textures using M-sigmoid-normalized generative adversarial networks. Comput. Aided Civ. Infrastructure Eng. 38(16): 2225-2241 (2023) - [j192]Di Liu, Simone Baldi, Quan Liu, Wenwu Yu:
A recursive least squares algorithm with ℓ1 regularization for sparse representation. Sci. China Inf. Sci. 66(2) (2023) - [j191]Hanqiang Deng, Jian Huang, Quan Liu, Cong Zhou, Jialong Gao:
BGSD: A SBERT and GAT-based Service Discovery Framework for Heterogeneous Distributed IoT. Comput. Networks 220: 109488 (2023) - [j190]Tangkun Quan, Fei Zhu, Quan Liu, Fanzhang Li:
Learning fair representations for accuracy parity. Eng. Appl. Artif. Intell. 119: 105819 (2023) - [j189]Zhigang Huang, Quan Liu, Fei Zhu:
Hierarchical reinforcement learning with adaptive scheduling for robot control. Eng. Appl. Artif. Intell. 126(Part D): 107130 (2023) - [j188]Ji Ke, Shufa Wang, Jiangchun Li, Quan Liu:
Modified particle swarm optimization based magnetic resonance imaging analysis for identification of risk factors tissue damage incidence. Expert Syst. J. Knowl. Eng. 40(4) (2023) - [j187]Ji Ke, Shufa Wang, Zhao Qiu, Quan Liu:
Diagnostic evaluation of low-rank matrix denoising algorithm-based magnetic resonance imaging on tibial plateau fracture complicated with meniscus injury. Expert Syst. J. Knowl. Eng. 40(4) (2023) - [j186]Quan Liu, Zhenrui Ji, Wenjun Xu, Zhihao Liu, Bitao Yao, Zude Zhou:
Knowledge-guided robot learning on compliance control for robotic assembly task with predictive model. Expert Syst. Appl. 234: 121037 (2023) - [j185]Peiyao Zhao, Fei Zhu, Quan Liu, Xinghong Ling:
A stable actor-critic algorithm for solving robotic tasks with multiple constraints. Frontiers Comput. Sci. 17(4): 174328 (2023) - [j184]Baodong Ma, Quan Liu, Ziwei Jiang, Defu Che, Kehan Qiu, Xiangxiang Shang:
Energy-Efficient 3D Path Planning for Complex Field Scenes Using the Digital Model with Landcover and Terrain. ISPRS Int. J. Geo Inf. 12(2): 82 (2023) - [j183]Jiaming Ye, Defu Che, Baodong Ma, Quan Liu, Kehan Qiu, Xiangxiang Shang:
Construction Method for a Three-Dimensional Tunnel General Monomer Model Based on Parallel Pathfinding. ISPRS Int. J. Geo Inf. 12(7): 270 (2023) - [j182]Jiaqing Cao, Quan Liu, Lan Wu, Qiming Fu, Shan Zhong:
Generalized gradient emphasis learning for off-policy evaluation and control with function approximation. Neural Comput. Appl. 35(32): 23599-23616 (2023) - [j181]Lihua Zhang, Quan Liu, Fei Zhu, Zhigang Huang:
Addressing implicit bias in adversarial imitation learning with mutual information. Neural Networks 167: 847-864 (2023) - [j180]Quan Liu, Zhenguo Nie, Zhao Gong, Xin-Jun Liu:
An Omnidirectional Transportation System With High Terrain Adaptability and Flexible Configurations Using Multiple Nonholonomic Mobile Robots. IEEE Robotics Autom. Lett. 8(9): 6060-6067 (2023) - [j179]Jiacheng Zhu, Zhicheng Zhao, Quan Liu, Xinhua Chen, Huan Li, Shaofan Tang, Weimin Shen:
Geostationary Full-Spectrum Wide-Swath High-Fidelity Imaging Spectrometer: Optical Design and Prototype Development. Remote. Sens. 15(2): 396 (2023) - [j178]Baodong Ma, Xiangru Yang, Defu Che, Yang Shu, Quan Liu, Min Su:
Spectral Simulation and Error Analysis of Dusty Leaves by Fusing the Hapke Two-Layer Medium Model and the Linear Spectral Mixing Model. Remote. Sens. 15(5): 1220 (2023) - [j177]Quan Liu, Xiaojing Shen, Lei Li, Junying Sun, Zirui Liu, Weibin Zhu, Junting Zhong, Yangmei Zhang, Xinyao Hu, Shuo Liu, Huizheng Che, Xiaoye Zhang:
Impacts of Aerosol Chemical Composition on Cloud Condensation Nuclei (CCN) Activity during Wintertime in Beijing, China. Remote. Sens. 15(17): 4119 (2023) - [j176]Qingsong Ai, Zemin Liu, Wei Meng, Quan Liu, Shengquan Xie:
Machine Learning in Robot-Assisted Upper Limb Rehabilitation: A Focused Review. IEEE Trans. Cogn. Dev. Syst. 15(4): 2053-2063 (2023) - [j175]Ruining Deng, Quan Liu, Can Cui, Tianyuan Yao, Jun Long, Zuhayr Asad, R. Michael Womick, Zheyu Zhu, Agnes B. Fogo, Shilin Zhao, Haichun Yang, Yuankai Huo:
Omni-Seg: A Scale-Aware Dynamic Network for Renal Pathological Image Segmentation. IEEE Trans. Biomed. Eng. 70(9): 2636-2644 (2023) - [j174]Yangzhe Liao, Xiyu Chen, Shuang Xia, Qingsong Ai, Quan Liu:
Energy Minimization for UAV Swarm-Enabled Wireless Inland Ship MEC Network With Time Windows. IEEE Trans. Green Commun. Netw. 7(2): 594-608 (2023) - [j173]Jie Zuo, Quan Liu, Wei Meng, Qingsong Ai, Sheng Quan Xie:
Event-Triggered Adaptive Hybrid Torque-Position Control (ET-AHTPC) for Robot-Assisted Ankle Rehabilitation. IEEE Trans. Ind. Electron. 70(5): 4993-5003 (2023) - [j172]Xiaojing Ren, Chao-Mao Hsieh, Mohammad O. A. Malik, Joshua Su Weiming, Quan Liu:
A Radio Frequency Tagging Continuous-Wave Optical Spectrometer With Megahertz Refreshing Rate. IEEE Trans. Instrum. Meas. 72: 1-8 (2023) - [c201]Jia-Chen Gu, Zhenhua Ling, Quan Liu, Cong Liu, Guoping Hu:
GIFT: Graph-Induced Fine-Tuning for Multi-Party Conversation Understanding. ACL (1) 2023: 11645-11658 - [c200]Yunsong Zhou, Hongzi Zhu, Quan Liu, Shan Chang, Minyi Guo:
MonoATT: Online Monocular 3D Object Detection with Adaptive Token Transformer. CVPR 2023: 17493-17503 - [c199]Zhigang Huang, Quan Liu:
Exploration and Exploitation in Hierarchical Reinforcement Learning with Adaptive Scheduling. ECAI 2023: 1116-1123 - [c198]Jia-Chen Gu, Chao-Hong Tan, Caiyuan Chu, Zhen-Hua Ling, Chongyang Tao, Quan Liu, Cong Liu:
MADNet: Maximizing Addressee Deduction Expectation for Multi-Party Conversation Generation. EMNLP 2023: 7681-7692 - [c197]Lihua Zhang, Quan Liu, Zhigang Huang, Lan Wu:
Learning Unbiased Rewards with Mutual Information in Adversarial Imitation Learning. ICASSP 2023: 1-5 - [c196]Lihua Zhang, Quan Liu, Xiongzhen Zhang, Yapeng Xu:
A Perturbation-Based Policy Distillation Framework with Generative Adversarial Nets. ICASSP 2023: 1-5 - [c195]Quan Liu, Hongzi Zhu, Yunsong Zhou, Hongyang Li, Shan Chang, Minyi Guo:
Density-invariant Features for Distant Point Cloud Registration. ICCV 2023: 18169-18179 - [c194]Quan Liu, Di Liu, Simone Baldi:
A New Recursive Approach to Sparse Representation. ICDL 2023: 461-466 - [c193]Yujia Liao, Quan Liu, Jie Zuo, Wei Meng, Qingsong Ai:
The Application of Hybrid Dynamic Recurrent Fuzzy Neural Network in Lower Limb Rehabilitation Function Evaluation. ICIRA (2) 2023: 173-184 - [c192]Zunmei Tian, Haojie Liu, Chang Zhu, Wei Meng, Quan Liu:
Hybrid APFPSO Algorithm for Accurate Model-Free Motion Control of a Knee Exoskeleton. ICIRA (2) 2023: 422-431 - [c191]Zhuo Wang, Quan Liu, Xiongzhen Zhang:
Self-adaptive Inverse Soft-Q Learning for Imitation. ICONIP (9) 2023: 3-14 - [c190]Meilong Shi, Quan Liu, Zhigang Huang:
Efficient Collaboration via Interaction Information in Multi-agent System. ICONIP (2) 2023: 401-412 - [c189]Quan Liu, Yunsong Zhou, Hongzi Zhu, Shan Chang, Minyi Guo:
APR: Online Distant Point Cloud Registration through Aggregated Point Cloud Reconstruction. IJCAI 2023: 1204-1212 - [c188]Long Chen, Wei Meng, Chang Zhu, Haojie Liu, Yifei Zhou, Quan Liu:
Multi-Objective Trajectory Planning Based on Integrated NSGA-III for Isokinetic Rehabilitation. M2VIP 2023: 1-6 - [c187]Dong Liu, Yuxuan Zhang, Nian Peng, Haojie Liu, Wei Meng, Quan Liu:
Wearable Flexible Optical Fiber Sensors for Human Motion Intention Recognition. M2VIP 2023: 1-6 - [c186]Yifu Qiao, Wei Meng, Haojie Liu, Nian Peng, Quan Liu:
Design and Validation of Grid Structure Optical Fiber Sensor for Wearable Physiological Monitoring. M2VIP 2023: 1-6 - [c185]Quan Liu, Jiawen Yao, Lisha Yao, Xin Chen, Jingren Zhou, Le Lu, Ling Zhang, Zaiyi Liu, Yuankai Huo:
M2Fusion: Bayesian-Based Multimodal Multi-level Fusion on Colorectal Cancer Microsatellite Instability Prediction. MTSAIL/LEAF/AI4Treat/MMMI/REMIA@MICCAI 2023: 125-134 - [c184]Ruining Deng, Yanwei Li, Peize Li, Jiacheng Wang, Lucas W. Remedios, Saydolimkhon Agzamkhodjaev, Zuhayr Asad, Quan Liu, Can Cui, Yaohong Wang, Yihan Wang, Yucheng Tang, Haichun Yang, Yuankai Huo:
Democratizing Pathological Image Segmentation with Lay Annotators via Molecular-Empowered Learning. MICCAI (6) 2023: 497-507 - [c183]Ho Hin Lee, Quan Liu, Shunxing Bao, Qi Yang, Xin Yu, Leon Y. Cai, Thomas Z. Li, Yuankai Huo, Xenofon D. Koutsoukos, Bennett A. Landman:
Scaling up 3D Kernels with Bayesian Frequency Re-parameterization for Medical Image Segmentation. MICCAI (4) 2023: 632-641 - [c182]Yan Li, Mengyuan Zhao, Sisi Chi, Quan Liu, Kun Chen, Li Ma:
A Pupil Localization Method Based on Dual Threshold and Contour Compensation. RCAR 2023: 316-321 - [c181]Xumei Xi, Yuke Zhao, Quan Liu, Liwen Ouyang, Yang Wu:
Integrating Offline Reinforcement Learning with Transformers for Sequential Recommendation. RecSys 2023: 1 - [c180]Jun-Yu Ma, Jia-Chen Gu, Jiajun Qi, Zhenhua Ling, Quan Liu, Xiaoyi Zhao:
USTC-NELSLIP at SemEval-2023 Task 2: Statistical Construction and Dual Adaptation of Gazetteer for Multilingual Complex NER. SemEval@ACL 2023: 651-659 - [c179]Xiongzhen Zhang, Quan Liu, Lihua Zhang:
Cosine Similarity Based Representation Learning for Adversarial Imitation Learning. SMC 2023: 591-596 - [i68]Caiyuan Chu, Ya Li, Yifan Liu, Jia-Chen Gu, Quan Liu, Yongxin Ge, Guoping Hu:
Multi-Stage Coarse-to-Fine Contrastive Learning for Conversation Intent Induction. CoRR abs/2303.05034 (2023) - [i67]Ho Hin Lee, Quan Liu, Shunxing Bao, Qi Yang, Xin Yu, Leon Y. Cai, Thomas Z. Li, Yuankai Huo, Xenofon D. Koutsoukos, Bennett A. Landman:
Scaling Up 3D Kernels with Bayesian Frequency Re-parameterization for Medical Image Segmentation. CoRR abs/2303.05785 (2023) - [i66]Yunsong Zhou, Hongzi Zhu, Quan Liu, Shan Chang, Minyi Guo:
MonoATT: Online Monocular 3D Object Detection with Adaptive Token Transformer. CoRR abs/2303.13018 (2023) - [i65]Yunsong Zhou, Quan Liu, Hongzi Zhu, Yunzhe Li, Shan Chang, Minyi Guo:
MoGDE: Boosting Mobile Monocular 3D Object Detection with Ground Depth Estimation. CoRR abs/2303.13561 (2023) - [i64]Ruining Deng, Can Cui, Quan Liu, Tianyuan Yao, Lucas W. Remedios, Shunxing Bao, Bennett A. Landman, Lee E. Wheless, Lori A. Coburn, Keith T. Wilson, Yaohong Wang, Shilin Zhao, Agnes B. Fogo, Haichun Yang, Yucheng Tang, Yuankai Huo:
Segment Anything Model (SAM) for Digital Pathology: Assess Zero-shot Segmentation on Whole Slide Imaging. CoRR abs/2304.04155 (2023) - [i63]Jun-Yu Ma, Jia-Chen Gu, Jiajun Qi, Zhen-Hua Ling, Quan Liu, Xiaoyi Zhao:
USTC-NELSLIP at SemEval-2023 Task 2: Statistical Construction and Dual Adaptation of Gazetteer for Multilingual Complex NER. CoRR abs/2305.02517 (2023) - [i62]Quan Liu, Yunsong Zhou, Hongzi Zhu, Shan Chang, Minyi Guo:
APR: Online Distant Point Cloud Registration Through Aggregated Point Cloud Reconstruction. CoRR abs/2305.02893 (2023) - [i61]Jia-Chen Gu, Zhen-Hua Ling, Quan Liu, Cong Liu, Guoping Hu:
GIFT: Graph-Induced Fine-Tuning for Multi-Party Conversation Understanding. CoRR abs/2305.09360 (2023) - [i60]Jun-Yu Ma, Jia-Chen Gu, Zhen-Hua Ling, Quan Liu, Cong Liu, Guoping Hu:
SHINE: Syntax-augmented Hierarchical Interactive Encoder for Zero-shot Cross-lingual Information Extraction. CoRR abs/2305.12389 (2023) - [i59]Jia-Chen Gu, Chao-Hong Tan, Caiyuan Chu, Zhen-Hua Ling, Chongyang Tao, Quan Liu, Cong Liu, Guoping Hu:
MADNet: Maximizing Addressee Deduction Expectation for Multi-Party Conversation Generation. CoRR abs/2305.12733 (2023) - [i58]Ruining Deng, Yanwei Li, Peize Li, Jiacheng Wang, Lucas W. Remedios, Saydolimkhon Agzamkhodjaev, Zuhayr Asad, Quan Liu, Can Cui, Yucheng Tang, Haichun Yang, Yuankai Huo:
Democratizing Pathological Image Segmentation with Lay Annotators via Molecular-empowered Learning. CoRR abs/2306.00047 (2023) - [i57]Hanyu Zheng, Quan Liu, Ivan I. Kravchenko, Xiaomeng Zhang, Yuankai Huo, Jason G. Valentine:
Intelligent Multi-channel Meta-imagers for Accelerating Machine Vision. CoRR abs/2306.07365 (2023) - [i56]Can Cui, Ruining Deng, Quan Liu, Tianyuan Yao, Shunxing Bao, Lucas W. Remedios, Yucheng Tang, Yuankai Huo:
All-in-SAM: from Weak Annotation to Pixel-wise Nuclei Segmentation with Prompt-based Finetuning. CoRR abs/2307.00290 (2023) - [i55]Quan Liu, Hongzi Zhu, Yunsong Zhou, Hongyang Li, Shan Chang, Minyi Guo:
Density-invariant Features for Distant Point Cloud Registration. CoRR abs/2307.09788 (2023) - [i54]Quan Liu, Hanyu Zheng, Brandon T. Swartz, Ho Hin Lee, Zuhayr Asad, Ivan I. Kravchenko, Jason G. Valentine, Yuankai Huo:
Digital Modeling on Large Kernel Metamaterial Neural Network. CoRR abs/2307.11862 (2023) - [i53]Xumei Xi, Yuke Zhao, Quan Liu, Liwen Ouyang, Yang Wu:
Integrating Offline Reinforcement Learning with Transformers for Sequential Recommendation. CoRR abs/2307.14450 (2023) - [i52]Jiayuan Chen, Yu Wang, Ruining Deng, Quan Liu, Can Cui, Tianyuan Yao, Yilin Liu, Jianyong Zhong, Agnes B. Fogo, Haichun Yang, Shilin Zhao, Yuankai Huo:
Spatial Pathomics Toolkit for Quantitative Analysis of Podocyte Nuclei with Histology and Spatial Transcriptomics Data in Renal Pathology. CoRR abs/2308.06288 (2023) - [i51]Muhao Liu, Chenyang Qi, Shunxing Bao, Quan Liu, Ruining Deng, Yu Wang, Shilin Zhao, Haichun Yang, Yuankai Huo:
Evaluation Kidney Layer Segmentation on Whole Slide Imaging using Convolutional Neural Networks and Transformers. CoRR abs/2309.02563 (2023) - [i50]Ho Hin Lee, Quan Liu, Qi Yang, Xin Yu, Shunxing Bao, Yuankai Huo, Bennett A. Landman:
DeformUX-Net: Exploring a 3D Foundation Backbone for Medical Image Segmentation with Depthwise Deformable Convolution. CoRR abs/2310.00199 (2023) - [i49]Jun-Yu Ma, Jia-Chen Gu, Zhen-Hua Ling, Quan Liu, Cong Liu:
Untying the Reversal Curse via Bidirectional Language Model Editing. CoRR abs/2310.10322 (2023) - 2022
- [j171]Hao Chen, Quan Liu, Jian Huang, Ke Fu:
Efficiently tracking multi-strategic opponents: A context-aware Bayesian policy reuse approach. Appl. Soft Comput. 121: 108715 (2022) - [j170]Xuefei Zhao, Dong Liu, Li Ma, Quan Liu, Kun Chen, Shane S. Q. Xie, Qingsong Ai:
Deep CNN model based on serial-parallel structure optimization for four-class motor imagery EEG classification. Biomed. Signal Process. Control. 72(Part): 103338 (2022) - [j169]Cong Du, Pengfei Liu, Yiren Sun, Jingyun Chen, Quan Liu, Markus Oeser:
Characterizing asphalt mixtures with random aggregate gradations based on the three-dimensional locally homogeneous model. Comput. Aided Civ. Infrastructure Eng. 37(13): 1687-1702 (2022) - [j168]Quan Liu, Mincheng Cai, Dujuan Liu, Simeng Ma, Qianhong Zhang, Zhongchun Liu, Jun Yang:
Two stream Non-Local CNN-LSTM network for the auxiliary assessment of mental retardation. Comput. Biol. Medicine 147: 105803 (2022) - [j167]Guanting Du, Fei Zhu, Quan Liu:
Vital node searcher: find out critical node measure with deep reinforcement learning. Connect. Sci. 34(1): 1519-1539 (2022) - [j166]Chunkai Zhang, Wenjing Zheng, Quan Liu, Junli Nie, Hanyu Zhang:
SEDGN: Sequence enhanced denoising graph neural network for session-based recommendation. Expert Syst. Appl. 203: 117391 (2022) - [j165]Pai Peng, Fei Zhu, Xinghong Ling, Peiyao Zhao, Quan Liu:
Improving deep reinforcement learning by safety guarding model via hazardous experience planning. Frontiers Comput. Sci. 16(4): 164320 (2022) - [j164]Kaitao Liao, Yuejun Song, Songhua Xie, Yichen Luo, Quan Liu, Hui Lin:
Quantitative Analysis of the Factors Influencing the Spatial Distribution of Benggang Landforms Based on a Geographical Detector. ISPRS Int. J. Geo Inf. 11(6): 337 (2022) - [j163]Chunkai Zhang, Quan Liu, Zeyu Zhang:
DSGNN: A dynamic and static intentions integrated graph neural network for session-based recommendation. Neurocomputing 468: 222-232 (2022) - [j162]Tangkun Quan, Fei Zhu, Xinghong Ling, Quan Liu:
Learning fair representations by separating the relevance of potential information. Inf. Process. Manag. 59(6): 103103 (2022) - [j161]Lin Zhang, Fei Zhu, Xinghong Ling, Quan Liu:
Best-in-class imitation: Non-negative positive-unlabeled imitation learning from imperfect demonstrations. Inf. Sci. 601: 71-89 (2022) - [j160]Yuanyuan Zhao, Quan Liu, Wenjun Xu, Huiqun Yuan, Ping Lou:
An ontology self-learning approach for CNC machine capability information integration and representation in cloud manufacturing. J. Ind. Inf. Integr. 25: 100300 (2022) - [j159]Chunyang Wu, Fei Zhu, Quan Liu:
Explore the weakness: Instructive exploration adversarial robust reinforcement learning. J. King Saud Univ. Comput. Inf. Sci. 34(10 Part A): 8152-8161 (2022) - [j158]Hao Chen, Quan Liu, Ke Fu, Jian Huang, Chang Wang, Jianxing Gong:
Accurate policy detection and efficient knowledge reuse against multi-strategic opponents. Knowl. Based Syst. 242: 108404 (2022) - [j157]Quan Liu, Jie Zuo, Chengxiang Zhu, Wei Meng, Qingsong Ai, Sheng Quan Xie:
Design and Hierarchical Force-Position Control of Redundant Pneumatic Muscles-Cable-Driven Ankle Rehabilitation Robot. IEEE Robotics Autom. Lett. 7(1): 502-509 (2022) - [j156]Zhihao Liu, Quan Liu, Wenjun Xu, Lihui Wang, Zude Zhou:
Robot learning towards smart robotic manufacturing: A review. Robotics Comput. Integr. Manuf. 77: 102360 (2022) - [j155]Quan Liu, Mengnan Li, Chaoyue Yin, Guoming Qian, Wei Meng, Qingsong Ai, Jiwei Hu:
CNN-Based Hand Grasping Prediction and Control via Postural Synergy Basis Extraction. Sensors 22(3): 831 (2022) - [j154]Wensong Wang, Zesheng Zheng, Chuanshi Yang, Zhongyuan Fang, Shaomeng Wang, Clement Yuen, Kai Tang, Quan Liu, Peter R. Preiser, Yuanjin Zheng:
Laser-Induced Surface Acoustic Wave Sensing-Based Malaria Parasite Detection and Analysis. IEEE Trans. Instrum. Meas. 71: 1-9 (2022) - [c178]Tianda Li, Jia-Chen Gu, Zhen-Hua Ling, Quan Liu:
Conversation- and Tree-Structure Losses for Dialogue Disentanglement. DialDoc@ACL 2022: 54-64 - [c177]Zhixiong Zhou, Qingsong Ai, Wei Meng, Quan Liu, Sheng Quan Xie, Wei Zhou:
Design and Finite Element Modeling of Novel Flat Pneumatic Artificial Muscles. AIM 2022: 1341-1346 - [c176]Hanqiang Deng, Jian Huang, Quan Liu:
Research on Time Synchronization and Routing Maintenance for Narrowband Ad Hoc Networks. AISS 2022: 17:1-17:5 - [c175]Jun-Yu Ma, Beiduo Chen, Jia-Chen Gu, Zhenhua Ling, Wu Guo, Quan Liu, Zhigang Chen, Cong Liu:
Wider & Closer: Mixture of Short-channel Distillers for Zero-shot Cross-lingual Named Entity Recognition. EMNLP 2022: 5171-5183 - [c174]Beiduo Chen, Wu Guo, Bin Gu, Quan Liu, Yongchao Wang:
Multi-Level Contrastive Learning for Cross-Lingual Alignment. ICASSP 2022: 7947-7951 - [c173]Xiaofeng Xu, Yihua Lan, He Li, Qinglei Qi, Quan Liu:
An Automatic Method for Fast Synaptic Signal Detection and Count. ICBDT 2022: 178-182 - [c172]Nian Peng, Wei Meng, Quan Liu, Shengquan Xie:
Gait Analysis and Phase Recognition Based on Array Fiber Optic Sensing Insole. ICIRA (3) 2022: 37-48 - [c171]Wenbin Sun, Quan Liu, Qiang Luo, Qingsong Ai, Wei Meng:
Flexible Lightweight Graphene-Based Electrodes and Angle Sensor for Human Motion Detection. ICIRA (3) 2022: 150-161 - [c170]Yanan Ma, Quan Liu, Haojie Liu, Wei Meng:
sEMG-Based Estimation of Human Arm Endpoint Stiffness Using Long Short-Term Memory Neural Networks and Autoencoders. ICIRA (2) 2022: 699-710 - [c169]Xianliang Xie, Quan Liu, Wei Meng, Qingsong Ai:
ZNN-Based High-Order Model-Free Adaptative Iterative Learning Control of Ankle Rehabilitation Robot Driven by Pneumatic Artificial Muscles. ICIRA (2) 2022: 773-784 - [c168]Yao Dai, Wei Meng, Nan Xia, Quan Liu, Qingsong Ai:
Construction and Analysis of Balance Ability Test Model Based on Multi-modal Parameters. ICMRE 2022: 163-168 - [c167]Beiduo Chen, Wu Guo, Quan Liu, Kun Tao:
Feature Aggregation in Zero-Shot Cross-Lingual Transfer Using Multilingual BERT. ICPR 2022: 1428-1435 - [c166]Xiaomu Li, Quan Liu:
Master-Slave Policy Collaboration for Actor-Critic Methods. IJCNN 2022: 1-7 - [c165]Chunxing Yang, Quan Liu, Kun Chen, Li Ma, Qingsong Ai:
Deep Residual Shrinkage Networks for Adaptive Classification of EEG Error-Related Potentials. M2VIP 2022: 1-6 - [c164]Quan Liu, Can Cui, Ruining Deng, Zuhayr Asad, Tianyuan Yao, Zheyu Zhu, Yuankai Huo:
Leverage Supervised and Self-supervised Pretrain Models for Pathological Survival Analysis via a Simple and Low-cost Joint Representation Tuning. REMIA@MICCAI 2022: 75-84 - [c163]Can Cui, Han Liu, Quan Liu, Ruining Deng, Zuhayr Asad, Yaohong Wang, Shilin Zhao, Haichun Yang, Bennett A. Landman, Yuankai Huo:
Survival Prediction of Brain Cancer with Incomplete Radiology, Pathology, Genomic, and Demographic Data. MICCAI (5) 2022: 626-635 - [c162]Ruining Deng, Quan Liu, Can Cui, Zuhayr Asad, Haichun Yang, Yuankai Huo:
Single Dynamic Network for Multi-label Renal Pathology Image Segmentation. MIDL 2022: 304-314 - [c161]Yuxuan Shi, Quan Liu, Jiachen Xu, Zuhayr Asad, Can Cui, Hernán Correa, Yash Choksi, Girish Hiremath, Yuankai Huo:
Eosinophilic esophagitis multi-label feature recognition on whole slide imaging using transfer learning. Digital and Computational Pathology 2022 - [c160]Quan Liu, Bryan A. Millis, Zuhayr Asad, Can Cui, William F. Dean, Isabelle T. Smith, Christopher Madden, Joseph T. Roland, Jeffrey P. Zwerner, Shilin Zhao, Lee E. Wheless, Yuankai Huo:
Integrate memory efficiency methods for self-supervised learning on pathological image analysis. Image Processing 2022 - [c159]Zheyu Zhu, Ruining Deng, Quan Liu, Zuhayr Asad, Can Cui, Tianyuan Yao, Yuankai Huo:
Large-Scale Patch-Wise Pathological Image Feature Dataset with a Hardware-agnostic Feature Extraction Tool. MIUA 2022: 778-786 - [c158]Yangzhe Liao, Jiaying Liu, Yi Han, Quan Yu, Qingsong Ai, Quan Liu, Xiaojun Zhai:
Energy Minimization for IRS-assisted UAV-empowered Wireless Communications. MSN 2022: 1001-1006 - [c157]Yunsong Zhou, Quan Liu, Hongzi Zhu, Yunzhe Li, Shan Chang, Minyi Guo:
MoGDE: Boosting Mobile Monocular 3D Object Detection with Ground Depth Estimation. NeurIPS 2022 - [c156]Mengnan Li, Qingsong Ai, Wei Meng, Quan Liu:
Design and modeling of fiber reinforced bending pneumatic flexible actuator based on asymmetric chamber. ROBIO 2022: 2051-2056 - [c155]Beiduo Chen, Jun-Yu Ma, Jiajun Qi, Wu Guo, Zhen-Hua Ling, Quan Liu:
USTC-NELSLIP at SemEval-2022 Task 11: Gazetteer-Adapted Integration Network for Multilingual Complex Named Entity Recognition. SemEval@NAACL 2022: 1613-1622 - [c154]Mingyuan Cheng, Xinru Liao, Quan Liu, Bin Ma, Jian Xu, Bo Zheng:
Learning Disentangled Representations for Counterfactual Regression via Mutual Information Minimization. SIGIR 2022: 1802-1806 - [c153]Pengyang Li, Rong Chen, Quan Liu, Jian Xu, Bo Zheng:
Transform Cold-Start Users into Warm via Fused Behaviors in Large-Scale Recommendation. SIGIR 2022: 2013-2017 - [c152]Qianqian Zhang, Xinru Liao, Quan Liu, Jian Xu, Bo Zheng:
Leaving No One Behind: A Multi-Scenario Multi-Task Meta Learning Approach for Advertiser Modeling. WSDM 2022: 1368-1376 - [i48]Qianqian Zhang, Xinru Liao, Quan Liu, Jian Xu, Bo Zheng:
Leaving No One Behind: A Multi-Scenario Multi-Task Meta Learning Approach for Advertiser Modeling. CoRR abs/2201.06814 (2022) - [i47]Beiduo Chen, Wu Guo, Bin Gu, Quan Liu, Yongchao Wang:
Multi-Level Contrastive Learning for Cross-Lingual Alignment. CoRR abs/2202.13083 (2022) - [i46]Beiduo Chen, Jun-Yu Ma, Jiajun Qi, Wu Guo, Zhen-Hua Ling, Quan Liu:
USTC-NELSLIP at SemEval-2022 Task 11: Gazetteer-Adapted Integration Network for Multilingual Complex Named Entity Recognition. CoRR abs/2203.03216 (2022) - [i45]Can Cui, Han Liu, Quan Liu, Ruining Deng, Zuhayr Asad, Yaohong Wang, Shilin Zhao, Haichun Yang, Bennett A. Landman, Yuankai Huo:
Survival Prediction of Brain Cancer with Incomplete Radiology, Pathology, Genomics, and Demographic Data. CoRR abs/2203.04419 (2022) - [i44]Beiduo Chen, Wu Guo, Quan Liu, Kun Tao:
Feature Aggregation in Zero-Shot Cross-Lingual Transfer Using Multilingual BERT. CoRR abs/2205.08497 (2022) - [i43]Mingyuan Cheng, Xinru Liao, Quan Liu, Bin Ma, Jian Xu, Bo Zheng:
Learning Disentangled Representations for Counterfactual Regression via Mutual Information Minimization. CoRR abs/2206.01022 (2022) - [i42]Ruining Deng, Quan Liu, Can Cui, Tianyuan Yao, Jun Long, Zuhayr Asad, R. Michael Womick, Zheyu Zhu, Agnes B. Fogo, Shilin Zhao, Haichun Yang, Yuankai Huo:
Omni-Seg+: A Scale-aware Dynamic Network for Pathological Image Segmentation. CoRR abs/2206.13632 (2022) - [i41]Tianyuan Yao, Chang Qu, Jun Long, Quan Liu, Ruining Deng, Yuanhan Tian, Jiachen Xu, Aadarsh Jha, Zuhayr Asad, Shunxing Bao, Mengyang Zhao, Agnes B. Fogo, Bennett A. Landman, Haichun Yang, Catie Chang, Yuankai Huo:
Compound Figure Separation of Biomedical Images: Mining Large Datasets for Self-supervised Learning. CoRR abs/2208.14357 (2022) - [i40]Jun-Yu Ma, Beiduo Chen, Jia-Chen Gu, Zhen-Hua Ling, Wu Guo, Quan Liu, Zhigang Chen, Cong Liu:
WIDER & CLOSER: Mixture of Short-channel Distillers for Zero-shot Cross-lingual Named Entity Recognition. CoRR abs/2212.03506 (2022) - 2021
- [j153]Quan Liu, Yang Liu, Chang Zhu, Xingxing Guo, Wei Meng, Qingsong Ai, Jiwei Hu:
Design and Control of a Reconfigurable Upper Limb Rehabilitation Exoskeleton With Soft Modular Joints. IEEE Access 9: 166815-166824 (2021) - [j152]Quan Liu, Zhihao Liu, Bo Xiong, Wenjun Xu, Yang Liu:
Deep reinforcement learning-based safe interaction for industrial human-robot collaboration using intrinsic reward function. Adv. Eng. Informatics 49: 101360 (2021) - [j151]Yan Chen, Quan Liu, Patrick Theato, Jia Wei, Yanlei Yu:
A Convenient Route to Prepare Reactive Azobenzene-Containing Liquid Crystal Polymers and Photodeformable Fibers. Adv. Intell. Syst. 3(10): 2000254 (2021) - [j150]Jun Huang, Duc Truong Pham, Ruiya Li, Mo Qu, Yongjing Wang, Mairi Kerin, Shizhong Su, Chunqian Ji, Omar Mahomed, Riham Khalil, David Stockton, Wenjun Xu, Quan Liu, Zude Zhou:
An experimental human-robot collaborative disassembly cell. Comput. Ind. Eng. 155: 107189 (2021) - [j149]Quan Liu, Isabella M. Gaeta, Mengyang Zhao, Ruining Deng, Aadarsh Jha, Bryan A. Millis, Anita Mahadevan-Jansen, Matthew J. Tyska, Yuankai Huo:
ASIST: Annotation-free synthetic instance segmentation and tracking by adversarial simulations. Comput. Biol. Medicine 134: 104501 (2021) - [j148]Zhilan Li, Jinglin Zhang, Shijie Zhao, Quan Liu, Yan Wang, Changrui Wang:
Joint Funds of the National Natural Science Foundation of China: a review of information sciences between 2011 and 2020. Sci. China Inf. Sci. 64(12) (2021) - [j147]Yu-Ju Lee, David Hall, Quan Liu, Wen-Wei Liao, Ming-Chun Huang:
Interpretable tropical cyclone intensity estimation using Dvorak-inspired machine learning techniques. Eng. Appl. Artif. Intell. 101: 104233 (2021) - [j146]Quan Liu, Yang Liu, Kun Chen, Lei Wang, Zhilei Li, Qingsong Ai, Li Ma:
Research on Channel Selection and Multi-Feature Fusion of EEG Signals for Mental Fatigue Detection. Entropy 23(4): 457 (2021) - [j145]Dayong Xu, Fei Zhu, Quan Liu, Peiyao Zhao:
Improving exploration efficiency of deep reinforcement learning through samples produced by generative model. Expert Syst. Appl. 185: 115680 (2021) - [j144]Yangzhe Liao, Xinhui Qiao, Quan Yu, Quan Liu:
Intelligent dynamic service pricing strategy for multi-user vehicle-aided MEC networks. Future Gener. Comput. Syst. 114: 15-22 (2021) - [j143]Quan Liu, Yang Liu, Yi Li, Chang Zhu, Wei Meng, Qingsong Ai, Sheng Quan Xie:
Path Planning and Impedance Control of a Soft Modular Exoskeleton for Coordinated Upper Limb Rehabilitation. Frontiers Neurorobotics 15: 745531 (2021) - [j142]Chenghao Liu, Fei Zhu, Quan Liu, Yuchen Fu:
Hierarchical Reinforcement Learning With Automatic Sub-Goal Identification. IEEE CAA J. Autom. Sinica 8(10): 1686-1696 (2021) - [j141]Jiwei Hu, Wupeng Deng, Quan Liu, Kin-Man Lam, Ping Lou:
Constructing an efficient and adaptive learning model for 3D object generation. IET Image Process. 15(8): 1745-1758 (2021) - [j140]Quan Liu, Haiyan Chen, M. James C. Crabbe:
Interactive Study of Multimedia and Virtual Technology in Art Education. Int. J. Emerg. Technol. Learn. 16(1): 80-93 (2021) - [j139]Yongjing Wang, Feiying Lan, Jiayi Liu, Jun Huang, Shizhong Su, Chunqian Ji, Duc Truong Pham, Wenjun Xu, Quan Liu, Zude Zhou:
Interlocking problems in disassembly sequence planning. Int. J. Prod. Res. 59(15): 4723-4735 (2021) - [j138]Quan Liu, Yang Liu, Congsheng Zhang, Zhili Ruan, Wei Meng, Yilun Cai, Qingsong Ai:
sEMG-Based Dynamic Muscle Fatigue Classification Using SVM With Improved Whale Optimization Algorithm. IEEE Internet Things J. 8(23): 16835-16844 (2021) - [j137]Dayong Xu, Fei Zhu, Quan Liu, Peiyao Zhao:
ARAIL: Learning to rank from incomplete demonstrations. Inf. Sci. 565: 422-437 (2021) - [j136]Jiaqing Cao, Quan Liu, Fei Zhu, Qiming Fu, Shan Zhong:
Gradient temporal-difference learning for off-policy evaluation using emphatic weightings. Inf. Sci. 580: 311-330 (2021) - [j135]Mengyang Zhao, Aadarsh Jha, Quan Liu, Bryan A. Millis, Anita Mahadevan-Jansen, Le Lu, Bennett A. Landman, Matthew J. Tyska, Yuankai Huo:
Faster Mean-shift: GPU-accelerated clustering for cosine embedding-based cell segmentation and tracking. Medical Image Anal. 71: 102048 (2021) - [j134]Hongming Chen, Quan Liu, Shan Zhong:
Self-guided deep deterministic policy gradient with multi-actor. Neural Comput. Appl. 33(15): 9723-9732 (2021) - [j133]Kehao Wang, Zhixin Hu, Qingsong Ai, Quan Liu, Mozi Chen, Kezhong Liu, Yirui Cong:
Membership Inference Attack with Multi-Grade Service Models in Edge Intelligence. IEEE Netw. 35(1): 184-189 (2021) - [j132]Qi Liu, Quan Liu, Xianglei Meng, Jiahua Zhang, Fengmei Yao, Hairu Zhang:
The Impact of Seasonality and Response Period on Qualifying the Relationship between Ecosystem Productivity and Climatic Factors over the Eurasian Steppe. Remote. Sens. 13(16): 3159 (2021) - [j131]Chenchen Li, Fan Yang, Pengfei Liu, Chaoliang Fu, Quan Liu, Hongduo Zhao, Peng Lin:
Development and Piezoelectric Properties of a Stack Units-Based Piezoelectric Device for Roadway Application. Sensors 21(22): 7708 (2021) - [j130]Jia-Chen Gu, Tianda Li, Zhen-Hua Ling, Quan Liu, Zhiming Su, Yu-Ping Ruan, Xiaodan Zhu:
Deep Contextualized Utterance Representations for Response Selection and Dialogue Analysis. IEEE ACM Trans. Audio Speech Lang. Process. 29: 2443-2455 (2021) - [c151]Chang Zhu, Quan Liu, Wei Meng, Qingsong Ai, Sheng Quan Xie:
An Attention-Based CNN-LSTM Model with Limb Synergy for Joint Angles Prediction. AIM 2021: 747-752 - [c150]Lu Jia, Qingsong Ai, Wei Meng, Quan Liu, Sheng Quan Xie:
Individualized Gait Trajectory Prediction Based on Fusion LSTM Networks for Robotic Rehabilitation Training. AIM 2021: 988-993 - [c149]Zongtao Liu, Bin Ma, Quan Liu, Jian Xu, Bo Zheng:
Heterogeneous Graph Neural Networks for Large-Scale Bid Keyword Matching. CIKM 2021: 3976-3985 - [c148]Jie Tong, Yihong Long, Quan Liu:
A File Encryption System Based on Attribute Based Encryption. CIS 2021: 454-458 - [c147]Tianli Xie, Kun Chen, Li Ma, Qingsong Ai, Quan Liu, Andrew E. Hudson:
Brain Connectivity Analysis in Anesthetized and Awake States: an ECoG Study in Monkeys. EMBC 2021: 117-120 - [c146]Jia-Chen Gu, Zhen-Hua Ling, Yu Wu, Quan Liu, Zhigang Chen, Xiaodan Zhu:
Detecting Speaker Personas from Conversational Texts. EMNLP (1) 2021: 1126-1136 - [c145]Yu Feng, Jing Zhang, Gaole He, Wayne Xin Zhao, Lemao Liu, Quan Liu, Cuiping Li, Hong Chen:
A Pretraining Numerical Reasoning Model for Ordinal Constrained Question Answering on Knowledge Base. EMNLP (Findings) 2021: 1852-1861 - [c144]Tianda Li, Jia-Chen Gu, Hui Liu, Quan Liu, Zhen-Hua Ling, Zhiming Su, Xiaodan Zhu:
Have You Made a Decision? Where? A Pilot Study on Interpretability of Polarity Analysis Based on Advising Problem. ICASSP 2021: 6928-6932 - [c143]Zhili Ruan, Qingsong Ai, Kun Chen, Li Ma, Quan Liu, Wei Meng:
Simultaneous and Continuous Motion Estimation of Upper Limb Based on SEMG and LSTM. ICIRA (1) 2021: 313-324 - [c142]Quan Liu, Zhao Gong, Fugui Xie, Shuzhan Shentu, Xin-Jun Liu:
An RBFNN-Informed Adaptive Sliding Mode Control for Wheeled Mobile Robots. ICIRA (4) 2021: 649-658 - [c141]Quan Liu:
Research on the Construction of Smart Campus Network Operation and Maintenance Service Platform. ICISCAE (ACM) 2021: 2281-2284 - [c140]Quan Liu:
Web Access Log Anomaly Detection Based on Deep Learning. ICSIM 2021: 118-123 - [c139]Kun Chen, Zhilei Li, Qingsong Ai, Quan Liu, Lei Wang:
An improved CNN model based on fused time-frequency features for mental fatigue detection in BCIs. IISA 2021: 1-5 - [c138]Xuanqi Yu, Wei Meng, Zemin Liu, Qingsong Ai, Quan Liu:
Multi-objective Trajectory Optimization of Redundant Manipulator for Patient Assistance. M2VIP 2021: 66-71 - [c137]Xin Wei, Kun Chen, Yang Liu, Xuefei Zhao, Li Ma, Qingsong Ai, Quan Liu:
Control of multiple DOFs robots using motor imagery EEG combined with Huffman coding. M2VIP 2021: 344-348 - [c136]Ruining Deng, Quan Liu, Shunxing Bao, Aadarsh Jha, Catie Chang, Bryan A. Millis, Matthew J. Tyska, Yuankai Huo:
CaCL: Class-Aware Codebook Learning for Weakly Supervised Segmentation on Diffuse Image Patterns. DGM4MICCAI/DALI@MICCAI 2021: 93-102 - [c135]Quan Liu, Peter C. Louis, Yuzhe Lu, Aadarsh Jha, Mengyang Zhao, Ruining Deng, Tianyuan Yao, Joseph T. Roland, Haichun Yang, Shilin Zhao, Lee E. Wheless, Yuankai Huo:
SimTriplet: Simple Triplet Representation Learning with a Single GPU. MICCAI (2) 2021: 102-112 - [c134]Tianyuan Yao, Chang Qu, Quan Liu, Ruining Deng, Yuanhan Tian, Jiachen Xu, Aadarsh Jha, Shunxing Bao, Mengyang Zhao, Agnes B. Fogo, Bennett A. Landman, Catie Chang, Haichun Yang, Yuankai Huo:
Compound Figure Separation of Biomedical Images with Side Loss. DGM4MICCAI/DALI@MICCAI 2021: 173-183 - [c133]Mengyang Zhao, Quan Liu, Aadarsh Jha, Ruining Deng, Tianyuan Yao, Anita Mahadevan-Jansen, Matthew J. Tyska, Bryan A. Millis, Yuankai Huo:
VoxelEmbed: 3D Instance Segmentation and Tracking with Voxel Embedding based Deep Learning. MLMI@MICCAI 2021: 437-446 - [c132]Quan Liu, Isabella M. Gaeta, Bryan A. Millis, Matthew J. Tyska, Yuankai Huo:
GAN based unsupervised segmentation: should we match the exact number of objects. Image Processing 2021 - [c131]Chaoyue Yin, Quan Liu, Wei Meng, Qingsong Ai:
Quantitative evaluation of hand functions using a wearable glove with multiple sensors. RCAR 2021: 1093-1098 - [c130]Boyuan Zheng, Xiaoyu Yang, Yu-Ping Ruan, Zhen-Hua Ling, Quan Liu, Si Wei, Xiaodan Zhu:
SemEval-2021 Task 4: Reading Comprehension of Abstract Meaning. SemEval@ACL/IJCNLP 2021: 37-50 - [c129]Jia-Chen Gu, Hui Liu, Zhen-Hua Ling, Quan Liu, Zhigang Chen, Xiaodan Zhu:
Partner Matters! An Empirical Study on Fusing Personas for Personalized Response Selection in Retrieval-Based Chatbots. SIGIR 2021: 565-574 - [i39]Quan Liu, Isabella M. Gaeta, Mengyang Zhao, Ruining Deng, Aadarsh Jha, Bryan A. Millis, Anita Mahadevan-Jansen, Matthew J. Tyska, Yuankai Huo:
Towards Annotation-free Instance Segmentation and Tracking with Adversarial Simulations. CoRR abs/2101.00567 (2021) - [i38]Quan Liu, Peter C. Louis, Yuzhe Lu, Aadarsh Jha, Mengyang Zhao, Ruining Deng, Tianyuan Yao, Joseph T. Roland, Haichun Yang, Shilin Zhao, Lee E. Wheless, Yuankai Huo:
SimTriplet: Simple Triplet Representation Learning with a Single GPU. CoRR abs/2103.05585 (2021) - [i37]Jia-Chen Gu, Hui Liu, Zhen-Hua Ling, Quan Liu, Zhigang Chen, Xiaodan Zhu:
Partner Matters! An Empirical Study on Fusing Personas for Personalized Response Selection in Retrieval-Based Chatbots. CoRR abs/2105.09050 (2021) - [i36]Boyuan Zheng, Xiaoyu Yang, Yu-Ping Ruan, Zhen-Hua Ling, Quan Liu, Si Wei, Xiaodan Zhu:
SemEval-2021 Task 4: Reading Comprehension of Abstract Meaning. CoRR abs/2105.14879 (2021) - [i35]Mengyang Zhao, Quan Liu, Aadarsh Jha, Ruining Deng, Tianyuan Yao, Anita Mahadevan-Jansen, Matthew J. Tyska, Bryan A. Millis, Yuankai Huo:
VoxelEmbed: 3D Instance Segmentation and Tracking with Voxel Embedding based Deep Learning. CoRR abs/2106.11480 (2021) - [i34]Tianyuan Yao, Chang Qu, Quan Liu, Ruining Deng, Yuanhan Tian, Jiachen Xu, Aadarsh Jha, Shunxing Bao, Mengyang Zhao, Agnes B. Fogo, Bennett A. Landman, Catie Chang, Haichun Yang, Yuankai Huo:
Compound Figure Separation of Biomedical Images with Side Loss. CoRR abs/2107.08650 (2021) - [i33]Jia-Chen Gu, Zhen-Hua Ling, Yu Wu, Quan Liu, Zhigang Chen, Xiaodan Zhu:
Detecting Speaker Personas from Conversational Texts. CoRR abs/2109.01330 (2021) - [i32]Zongtao Liu, Bin Ma, Quan Liu, Jian Xu, Bo Zheng:
Heterogeneous Graph Neural Networks for Large-Scale Bid Keyword Matching. CoRR abs/2111.00926 (2021) - [i31]Jiachen Xu, James Zimmer-Dauphinee, Quan Liu, Yuxuan Shi, Steven A. Wernke, Yuankai Huo:
Semi-Supervised Contrastive Learning for Remote Sensing: Identifying Ancient Urbanization in the South Central Andes. CoRR abs/2112.06437 (2021) - [i30]Ruining Deng, Quan Liu, Can Cui, Zuhayr Asad, Haichun Yang, Yuankai Huo:
Omni-Seg: A Single Dynamic Network for Multi-label Renal Pathology Image Segmentation using Partially Labeled Data. CoRR abs/2112.12665 (2021) - 2020
- [j129]Dandan Liang, Quan Liu, Kejun Zhou, Wei Jia, Guoxiang Xie, Tianlu Chen:
IP4M: an integrated platform for mass spectrometry-based metabolomics data mining. BMC Bioinform. 21(1): 444 (2020) - [j128]Zhihao Liu, Xinran Wang, Yijie Cai, Wenjun Xu, Quan Liu, Zude Zhou, Duc Truong Pham:
Dynamic risk assessment and active response strategy for industrial human-robot collaboration. Comput. Ind. Eng. 141: 106302 (2020) - [j127]Yangzhe Liao, Liqing Shou, Quan Yu, Qingsong Ai, Quan Liu:
Joint offloading decision and resource allocation for mobile edge computing enabled networks. Comput. Commun. 154: 361-369 (2020) - [j126]Quan Liu, Bei Gong, Zhenhu Ning:
Research on CLPKC-IDPKC cross-domain identity authentication for IoT environment. Comput. Commun. 157: 410-416 (2020) - [j125]Yangyang Ge, Fei Zhu, Wei Huang, Peiyao Zhao, Quan Liu:
Multi-agent cooperation Q-learning algorithm based on constrained Markov Game. Comput. Sci. Inf. Syst. 17(2): 647-664 (2020) - [j124]Yu-Ping Ruan, Zhen-Hua Ling, Xiaodan Zhu, Quan Liu, Jia-Chen Gu:
Generating diverse conversation responses by creating and ranking multiple candidates. Comput. Speech Lang. 62: 101071 (2020) - [j123]Quan Liu, Jie Zuo, Chang Zhu, Sheng Quan Xie:
Design and control of soft rehabilitation robots actuated by pneumatic muscles: State of the art. Future Gener. Comput. Syst. 113: 620-634 (2020) - [j122]Yangzhe Liao, Liqing Shou, Quan Yu, Qingsong Ai, Quan Liu:
An Intelligent Computation Demand Response Framework for IIoT-MEC Interactive Networks. IEEE Netw. Lett. 2(3): 154-158 (2020) - [j121]Xiaofei Liu, Fei Zhu, Yuchen Fu, Quan Liu:
A resource retrieval method of multimedia recommendation system based on deep learning. Int. J. Auton. Adapt. Commun. Syst. 13(4): 400-418 (2020) - [j120]Yilin Fang, Hao Ming, Miqing Li, Quan Liu, Duc Truong Pham:
Multi-objective evolutionary simulated annealing optimisation for mixed-model multi-robotic disassembly line balancing with interval processing time. Int. J. Prod. Res. 58(3): 846-862 (2020) - [j119]Hong-Dong Li, Yunpei Xu, Xiaoshu Zhu, Quan Liu, Gilbert S. Omenn, Jianxin Wang:
ClusterMine: A knowledge-integrated clustering approach based on expression profiles of gene sets. J. Bioinform. Comput. Biol. 18(3): 2040009:1-2040009:25 (2020) - [j118]Jiayi Liu, Zude Zhou, Duc Truong Pham, Wenjun Xu, Chunqian Ji, Quan Liu:
Collaborative optimization of robotic disassembly sequence planning and robotic disassembly line balancing problem using improved discrete Bees algorithm in remanufacturing✰. Robotics Comput. Integr. Manuf. 61: 101829 (2020) - [j117]Ruiya Li, Duc Truong Pham, Jun Huang, Yuegang Tan, Mo Qu, Yongjing Wang, Mairi Kerin, Kaiwen Jiang, Shizhong Su, Chunqian Ji, Quan Liu, Zude Zhou:
Unfastening of Hexagonal Headed Screws by a Collaborative Robot. IEEE Trans Autom. Sci. Eng. 17(3): 1455-1468 (2020) - [j116]Jia-Chen Gu, Zhen-Hua Ling, Quan Liu:
Utterance-to-Utterance Interactive Matching Network for Multi-Turn Response Selection in Retrieval-Based Chatbots. IEEE ACM Trans. Audio Speech Lang. Process. 28: 369-379 (2020) - [j115]Qingsong Ai, Da Ke, Jie Zuo, Wei Meng, Quan Liu, Zhiqiang Zhang, Sheng Quan Xie:
High-Order Model-Free Adaptive Iterative Learning Control of Pneumatic Artificial Muscle With Enhanced Convergence. IEEE Trans. Ind. Electron. 67(11): 9548-9559 (2020) - [c128]Yi Li, Quan Liu, Wei Meng, Yuanlong Xie, Qingsong Ai, Sheng Quan Xie:
MISO Model Free Adaptive Control of Single Joint Rehabilitation Robot Driven by Pneumatic Artificial Muscles. AIM 2020: 1700-1705 - [c127]Zhenrui Ji, Quan Liu, Wenjun Xu, Zhihao Liu, Bitao Yao, Bo Xiong, Zude Zhou:
Towards Shared Autonomy Framework for Human-Aware Motion Planning in Industrial Human-Robot Collaboration. CASE 2020: 411-417 - [c126]Yunkai Wang, Qingsong Ai, Ling Ai, Quan Liu, Jiwei Hu, Zude Zhou:
Improved Rehabilitation Robot Trajectory Regeneration by Learning from the Healthy Ankle Demonstration. CIIS 2020: 80-86 - [c125]Jiaming Zhang, Lin Zhang, Shaocong Guo, Wei Meng, Qingsong Ai, Quan Liu:
Iterative Learning Control of Functional Electrical Stimulation Based on Joint Muscle Model. CIIS 2020: 119-123 - [c124]Jia-Chen Gu, Tianda Li, Quan Liu, Zhen-Hua Ling, Zhiming Su, Si Wei, Xiaodan Zhu:
Speaker-Aware BERT for Multi-Turn Response Selection in Retrieval-Based Chatbots. CIKM 2020: 2041-2044 - [c123]Yufei Feng, Zi'ou Zheng, Quan Liu, Michael A. Greenspan, Xiaodan Zhu:
Exploring End-to-End Differentiable Natural Logic Modeling. COLING 2020: 1172-1185 - [c122]Quan Liu:
The Construction and Research of the Enterprise Financial Ecosystem Model Based on Blockchain. CSIA (2) 2020: 59-66 - [c121]Jia-Chen Gu, Zhen-Hua Ling, Quan Liu, Zhigang Chen, Xiaodan Zhu:
Filtering before Iteratively Referring for Knowledge-Grounded Response Selection in Retrieval-Based Chatbots. EMNLP (Findings) 2020: 1412-1422 - [c120]Xiaoyu Yang, Feng Nie, Yufei Feng, Quan Liu, Zhigang Chen, Xiaodan Zhu:
Program Enhanced Fact Verification with Verbalization and Graph Attention Network. EMNLP (1) 2020: 7810-7825 - [c119]Ziyan Lu, Quan Liu, Roger W. Cholewiak, Hong Z. Tan:
Perceived Midpoint of the Forearm. HCI (8) 2020: 157-167 - [c118]Quan Liu, Hiroaki Mukaidani:
Effective-target Representation via LSTM with Attention for Aspect-level Sentiment Analysis. ICAIIC 2020: 336-340 - [c117]Xuefei Zhao, Dong Liu, Li Ma, Qingsong Ai, Quan Liu, Shengquan Xie:
EEG Signals De-Noising with Wavelet by Optimizing Threshold Based on Fruit Fly Optimization. ICNCC 2020: 71-77 - [c116]Hui Liu, Zhan Shi, Jia-Chen Gu, Quan Liu, Si Wei, Xiaodan Zhu:
End-to-End Transition-Based Online Dialogue Disentanglement. IJCAI 2020: 3868-3874 - [c115]Chen Gao, Si Liu, Defa Zhu, Quan Liu, Jie Cao, Haoqian He, Ran He, Shuicheng Yan:
InteractGAN: Learning to Generate Human-Object Interaction. ACM Multimedia 2020: 165-173 - [c114]Quan Liu:
Construction and Development of High-Tech Smart City. SPIoT (2) 2020: 68-73 - [i29]Yu-Ping Ruan, Zhen-Hua Ling, Jia-Chen Gu, Quan Liu:
Fine-Tuning BERT for Schema-Guided Zero-Shot Dialogue State Tracking. CoRR abs/2002.00181 (2020) - [i28]Jia-Chen Gu, Tianda Li, Quan Liu, Xiaodan Zhu, Zhen-Hua Ling, Yu-Ping Ruan:
Pre-Trained and Attention-Based Neural Networks for Building Noetic Task-Oriented Dialogue Systems. CoRR abs/2004.01940 (2020) - [i27]Jia-Chen Gu, Tianda Li, Quan Liu, Xiaodan Zhu, Zhen-Hua Ling, Zhiming Su, Si Wei:
Speaker-Aware BERT for Multi-Turn Response Selection in Retrieval-Based Chatbots. CoRR abs/2004.03588 (2020) - [i26]Tianda Li, Jia-Chen Gu, Xiaodan Zhu, Quan Liu, Zhen-Hua Ling, Zhiming Su, Si Wei:
DialBERT: A Hierarchical Pre-Trained Model for Conversation Disentanglement. CoRR abs/2004.03760 (2020) - [i25]Jia-Chen Gu, Zhen-Hua Ling, Quan Liu, Si Wei, Xiaodan Zhu:
Filtering before Iteratively Referring for Knowledge-Grounded Response Selection in Retrieval-Based Chatbots. CoRR abs/2004.14550 (2020) - [i24]Mengyang Zhao, Aadarsh Jha, Quan Liu, Bryan A. Millis, Anita Mahadevan-Jansen, Le Lu, Bennett A. Landman, Matthew J. Tyskac, Yuankai Huo:
Faster Mean-shift: GPU-accelerated Embedding-clustering for Cell Segmentation and Tracking. CoRR abs/2007.14283 (2020) - [i23]Xiaoyu Yang, Feng Nie, Yufei Feng, Quan Liu, Zhigang Chen, Xiaodan Zhu:
Program Enhanced Fact Verification with Verbalization and Graph Attention Network. CoRR abs/2010.03084 (2020) - [i22]Quan Liu, Isabella M. Gaeta, Bryan A. Millis, Matthew J. Tyska, Yuankai Huo:
GAN based Unsupervised Segmentation: Should We Match the Exact Number of Objects. CoRR abs/2010.11438 (2020) - [i21]Ruining Deng, Quan Liu, Shunxing Bao, Aadarsh Jha, Catie Chang, Bryan A. Millis, Matthew J. Tyska, Yuankai Huo:
CaCL: Class-aware Codebook Learning for Weakly Supervised Segmentation on Diffuse Image Patterns. CoRR abs/2011.00794 (2020) - [i20]Quan Liu, Isabella M. Gaeta, Mengyang Zhao, Ruining Deng, Aadarsh Jha, Bryan A. Millis, Anita Mahadevan-Jansen, Matthew J. Tyska, Yuankai Huo:
ASIST: Annotation-free synthetic instance segmentation and tracking for microscope video analysis. CoRR abs/2011.01009 (2020) - [i19]Yufei Feng, Zi'ou Zheng, Quan Liu, Michael A. Greenspan, Xiaodan Zhu:
Exploring End-to-End Differentiable Natural Logic Modeling. CoRR abs/2011.04044 (2020) - [i18]Chao-Hong Tan, Xiaoyu Yang, Zi'ou Zheng, Tianda Li, Yufei Feng, Jia-Chen Gu, Quan Liu, Dan Liu, Zhen-Hua Ling, Xiaodan Zhu:
Learning to Retrieve Entity-Aware Knowledge and Generate Responses with Copy Mechanism for Task-Oriented Dialogue Systems. CoRR abs/2012.11937 (2020)
2010 – 2019
- 2019
- [j114]Quan Liu, Jifa Cai, Shou-Zen Fan, Maysam F. Abbod, Jiann-Shing Shieh, Yuchen Kung, Longsong Lin:
Spectrum Analysis of EEG Signals Using CNN to Model Patient's Consciousness Level Based on Anesthesiologists' Experience. IEEE Access 7: 53731-53742 (2019) - [j113]Yangyang Ge, Fei Zhu, Xinghong Ling, Quan Liu:
Safe Q-Learning Method Based on Constrained Markov Decision Processes. IEEE Access 7: 165007-165017 (2019) - [j112]Chao-Mao Hsieh, Manish Verma, Quan Liu:
Improving Depth Sensitive Fluorescence Spectroscopy With Wavefront Shaping by Spectral and Spatial Filtering. IEEE Access 7: 170192-170198 (2019) - [j111]Quan Liu, Yuyun Liu, Jiu-an Lv, Erqiang Chen, Yanlei Yu:
Photocontrolled Liquid Transportation in Microtubes by Manipulating Mesogen Orientations in Liquid Crystal Polymers. Adv. Intell. Syst. 1(6): 1900060 (2019) - [j110]Qiming Fu, Wen Hu, Quan Liu, Heng Luo, Lingyao Hu, Jianping Chen:
Residual Sarsa algorithm with function approximation. Clust. Comput. 22(Suppl 1): 795-807 (2019) - [j109]Fei Zhu, Pai Peng, Quan Liu, Yuchen Fu, Shan Zhong:
SARSA based access control with approximation by TileCoding. Comput. Sci. Inf. Syst. 16(3): 689-704 (2019) - [j108]Yilin Fang, Quan Liu, Miqing Li, Yuanjun Laili, Duc Truong Pham:
Evolutionary many-objective optimization for mixed-model disassembly line balancing with multi-robotic workstations. Eur. J. Oper. Res. 276(1): 160-174 (2019) - [j107]Shan Zhong, Quan Liu, Zongzhang Zhang, Qiming Fu:
Efficient reinforcement learning in continuous state and action spaces with Dyna and policy approximation. Frontiers Comput. Sci. 13(1): 106-126 (2019) - [j106]Quan Liu, Guoming Qian, Wei Meng, Qingsong Ai, Chaoyue Yin, Zhengyu Fang:
A new IMMU-based data glove for hand motion capture with optimized sensor layout. Int. J. Intell. Robotics Appl. 3(1): 19-32 (2019) - [j105]Qingsong Ai, Yuan Peng, Jie Zuo, Wei Meng, Quan Liu:
Hammerstein model for hysteresis characteristics of pneumatic muscle actuators. Int. J. Intell. Robotics Appl. 3(1): 33-44 (2019) - [j104]Quan Liu, Zhihao Liu, Wenjun Xu, Quan Tang, Zude Zhou, Duc Truong Pham:
Human-robot collaboration in disassembly for sustainable manufacturing. Int. J. Prod. Res. 57(12): 4027-4044 (2019) - [j103]Jie Li, Xinghong Ling, Yuchen Fu, Quan Liu:
基于视觉注意力机制的异步优势行动者-评论家算法 (Asynchronous Advantage Actor-Critic Algorithm with Visual Attention Mechanism). 计算机科学 46(5): 169-174 (2019) - [j102]Jianping Chen, Feng Zou, Quan Liu, Hongjie Wu, Fuyuan Hu, Qiming Fu:
一种基于生成对抗网络的强化学习算法 (Reinforcement Learning Algorithm Based on Generative Adversarial Networks). 计算机科学 46(10): 265-272 (2019) - [j101]Zhiqiang Xu, Yiming Wang, Naidi Sun, Zhengying Li, Song Hu, Quan Liu:
Parallel Computing for Quantitative Blood Flow Imaging in Photoacoustic Microscopy. Sensors 19(18): 4000 (2019) - [j100]Yanbo Wang, Quan Liu, Shan Huang, Bo Yuan:
Learning a Structural and Functional Representation for Gene Expressions: To Systematically Dissect Complex Cancer Phenotypes. IEEE ACM Trans. Comput. Biol. Bioinform. 16(5): 1729-1742 (2019) - [c113]Wenhao Zheng, Quan Liu, Kun Chen, Qingsong Ai, Wei Meng, Zhangsong Shi:
Brain-robot Shared Control Based on Motor Imagery and Improved Bayes Filter*. AIM 2019: 139-144 - [c112]Yaojie Liu, Juan Liu, Ling Ai, Qin Wei, Quan Liu, Shane S. Q. Xie:
Objective Evaluation of Hand ROM and Motion Quality based on Motion Capture and Brunnstrom Scale. AIM 2019: 441-446 - [c111]Wei Meng, Chengxiang Zhu, Jie Zuo, Qingsong Ai, Quan Liu, Sheng Quan Xie:
Design and Modelling of a Compliant Ankle Rehabilitation Robot Redundantly Driven by Pneumatic Muscles. AIM 2019: 459-464 - [c110]Weifeng Wu, Da Li, Wei Meng, Jie Zuo, Quan Liu, Qingsong Ai:
Iterative Feedback Tuning-based Model-Free Adaptive Iterative Learning Control of Pneumatic Artificial Muscle. AIM 2019: 954-959 - [c109]Xiaoye Qian, Haoyou Cheng, Diliang Chen, Quan Liu, Huan Chen, Haotian Jiang, Ming-Chun Huang:
The Smart Insole: A Pilot Study of Fall Detection. BODYNETS 2019: 37-49 - [c108]Jia-Chen Gu, Zhen-Hua Ling, Quan Liu:
Interactive Matching Network for Multi-Turn Response Selection in Retrieval-Based Chatbots. CIKM 2019: 2321-2324 - [c107]Jia-Chen Gu, Zhen-Hua Ling, Xiaodan Zhu, Quan Liu:
Dually Interactive Matching Network for Personalized Response Selection in Retrieval-Based Chatbots. EMNLP/IJCNLP (1) 2019: 1845-1854 - [c106]Qian Yang, Jiaqi Wang, Xuelei Fu, Honghai Wang, Quan Liu, Gangao Yan, Zhengying Li:
High-Spatial Resolution Demodulation of Weak FBGs Based on Incoherent Optical Frequency Domain Reflectometry Using a Chaotic laser. I2MTC 2019: 994-998 - [c105]Yarong Hou, Yiming Wang, Honghai Wang, Quan Liu, Linfeng Li, Zhengying Li:
Research and Implementation of Super High-Speed Fiber Bragg Grating Demodulator. I2MTC 2019: 999-1003 - [c104]