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ORCIDJingyu Hu
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.
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2020 – today
- 2024
[j22]Zhiqiang Wang, Xiaojing Gu, Xingsheng Gu, Jingyu Hu:
Enhancing video anomaly detection with learnable memory network: A new approach to memory-based auto-encoders. Comput. Vis. Image Underst. 241: 103946 (2024)- [j21]Li Guo, Jun Li
, Chengye Zhang, Yaling Xu, Jianghe Xing, Jingyu Hu:
Evaluating the Impact of Human Activities on Vegetation Restoration in Mining Areas Based on the GTWR. ISPRS Int. J. Geo Inf. 13(4): 132 (2024) - [j20]Jingyu Hu, Hao Feng, Qilei Wang, Jianing Shen, Jian Wang, Yang Liu, Haikuan Feng, Hao Yang, Wei Guo, Hongbo Qiao, Qinglin Niu, Jibo Yue:
Pretrained Deep Learning Networks and Multispectral Imagery Enhance Maize LCC, FVC, and Maturity Estimation. Remote. Sens. 16(5): 784 (2024) - [j19]Jingyu Hu, Ka-Hei Hui, Zhengzhe Liu, Ruihui Li, Chi-Wing Fu:
Neural Wavelet-domain Diffusion for 3D Shape Generation, Inversion, and Manipulation. ACM Trans. Graph. 43(2): 16:1-16:18 (2024) - [j18]Shuo Bai, Jingyu Hu, Yongjun Yan, Lilin Shen, Zhangcheng He, Guodong Yin:
An Integrated Approach for Vehicle State Estimation Under Non-Ideal Conditions Using Adaptive Strong Tracking Maximum Correntropy Criterion EKF. IEEE Trans. Veh. Technol. 73(10): 14604-14616 (2024) - [c23]Jingyu Hu, Jun Hong, Mengnan Du, Weiru Liu:
ProxiMix: Enhancing Fairness with Proximity Samples in Subgroups. AEQUITAS@ECAI 2024 - [c22]Jingyu Hu, Weiru Liu, Mengnan Du:
Strategic Demonstration Selection for Improved Fairness in LLM In-Context Learning. EMNLP 2024: 7460-7475 - [c21]Jingyu Hu, Mengnan Du:
Enhancing Fairness in In-Context Learning: Prioritizing Minority Samples in Demonstrations. Tiny Papers @ ICLR 2024 - [c20]Jingyu Hu, Ka-Hei Hui, Zhengzhe Liu, Hao Zhang, Chi-Wing Fu:
CNS-Edit: 3D Shape Editing via Coupled Neural Shape Optimization. SIGGRAPH (Conference Paper Track) 2024: 110 - [i12]Jingyu Hu, Ka-Hei Hui, Zhengzhe Liu, Hao Zhang, Chi-Wing Fu:
CNS-Edit: 3D Shape Editing via Coupled Neural Shape Optimization. CoRR abs/2402.02313 (2024) - [i11]Ruyi Yang, Jingyu Hu, Zihao Li, Jianli Mu, Tingzhao Yu, Jiangjiang Xia, Xuhong Li, Aritra Dasgupta, Haoyi Xiong:
Interpretable Machine Learning for Weather and Climate Prediction: A Survey. CoRR abs/2403.18864 (2024) - [i10]Xun Deng, Sicheng Zhong, Honghua Dong, Jingyu Hu, Sidi Mohamed Beillahi, Xujie Si, Fan Long:
Assessing Code Generation with Intermediate Languages. CoRR abs/2407.05411 (2024) - [i9]Jingyu Hu, Weiru Liu, Mengnan Du:
Strategic Demonstration Selection for Improved Fairness in LLM In-Context Learning. CoRR abs/2408.09757 (2024) - [i8]Jingyu Hu, Jun Hong, Mengnan Du, Weiru Liu:
ProxiMix: Enhancing Fairness with Proximity Samples in Subgroups. CoRR abs/2410.01145 (2024) - [i7]Xilin He, Jingyu Hu, Qinliang Lin, Cheng Luo, Weicheng Xie, Siyang Song, Muhammad Haris Khan, Linlin Shen:
Towards Combating Frequency Simplicity-biased Learning for Domain Generalization. CoRR abs/2410.16146 (2024) - 2023
- [j17]Jingyu Hu, Xiaojing Gu, Zhiqiang Wang, Xingsheng Gu:
Active consistency network for multi-source domain generalization in brain tumor segmentation. Biomed. Signal Process. Control. 86(Part A): 105132 (2023) - [j16]Zhiqiang Wang, Xiaojing Gu, Jingyu Hu, Xingsheng Gu:
Ensemble anomaly score for video anomaly detection using denoise diffusion model and motion filters. Neurocomputing 553: 126589 (2023) - [j15]Jingyu Hu, Xiaojing Gu, Zhiqiang Wang, Xingsheng Gu:
Mixture of calibrated networks for domain generalization in brain tumor segmentation. Knowl. Based Syst. 270: 110520 (2023) - [j14]Jingyu Hu, Gang Zhao, Wenlei Xiao, Rupeng Li:
AR-based deep learning for real-time inspection of cable brackets in aircraft. Robotics Comput. Integr. Manuf. 83: 102574 (2023) - [j13]Lizhi Wang, Rui Gao, Changchun Li, Jian Wang, Yang Liu, Jingyu Hu, Bing Li, Hongbo Qiao, Haikuan Feng, Jibo Yue:
Mapping Soybean Maturity and Biochemical Traits Using UAV-Based Hyperspectral Images. Remote. Sens. 15(19): 4807 (2023) - [j12]Shuqi Fang, Bin Zhang, Jingyu Hu:
Improved Mask R-CNN Multi-Target Detection and Segmentation for Autonomous Driving in Complex Scenes. Sensors 23(8): 3853 (2023) - [j11]Yan Wang, Yongjun Yan, Tong Shen, Shuo Bai, Jingyu Hu, Liwei Xu, Guodong Yin:
An Event-Triggered Scheme for State Estimation of Preceding Vehicles Under Connected Vehicle Environment. IEEE Trans. Intell. Veh. 8(1): 583-593 (2023) - [j10]Zhengzhe Liu, Jingyu Hu, Ka-Hei Hui, Xiaojuan Qi, Daniel Cohen-Or, Chi-Wing Fu:
EXIM: A Hybrid Explicit-Implicit Representation for Text-Guided 3D Shape Generation. ACM Trans. Graph. 42(6): 228:1-228:12 (2023) - [c19]Jiongchi Yu, Yuechen Wu, Xiaofei Xie, Wei Le, Lei Ma, Yingfeng Chen, Jingyu Hu, Fan Zhang:
GameRTS: A Regression Testing Framework for Video Games. ICSE 2023: 1393-1404 - [c18]Ziyi Wu, Jingyu Hu, Wuyue Lu, Igor Gilitschenski, Animesh Garg:
SlotDiffusion: Object-Centric Generative Modeling with Diffusion Models. NeurIPS 2023 - [c17]Jingyu Hu, Ka-Hei Hui, Zhengzhe Liu, Hao Zhang, Chi-Wing Fu:
CLIPXPlore: Coupled CLIP and Shape Spaces for 3D Shape Exploration. SIGGRAPH Asia 2023: 67:1-67:12 - [c16]Jingyu Hu, Yizhu Liang, Weiyu Zhao, Kevin McAreavey, Weiru Liu:
An Interactive XAI Interface with Application in Healthcare for Non-experts. xAI (1) 2023: 649-670 - [i6]Jingyu Hu, Ka-Hei Hui, Zhengzhe Liu, Ruihui Li, Chi-Wing Fu:
Neural Wavelet-domain Diffusion for 3D Shape Generation, Inversion, and Manipulation. CoRR abs/2302.00190 (2023) - [i5]Ziyi Wu, Jingyu Hu, Wuyue Lu, Igor Gilitschenski, Animesh Garg:
SlotDiffusion: Object-Centric Generative Modeling with Diffusion Models. CoRR abs/2305.11281 (2023) - [i4]Jingyu Hu, Ka-Hei Hui, Zhengzhe Liu, Hao Zhang, Chi-Wing Fu:
CLIPXPlore: Coupled CLIP and Shape Spaces for 3D Shape Exploration. CoRR abs/2306.08226 (2023) - [i3]Zhengzhe Liu, Jingyu Hu, Ka-Hei Hui, Xiaojuan Qi, Daniel Cohen-Or, Chi-Wing Fu:
EXIM: A Hybrid Explicit-Implicit Representation for Text-Guided 3D Shape Generation. CoRR abs/2311.01714 (2023) - 2022
- [j9]Zhenyuan Liu, Jingyu Hu, Hao Xu, Peng Song, Ran Zhang, Bernd Bickel, Chi-Wing Fu:
Worst-Case Rigidity Analysis and Optimization for Assemblies with Mechanical Joints. Comput. Graph. Forum 41(2): 507-519 (2022) - [j8]Jingyu Hu, Xiaojing Gu, Xingsheng Gu:
Mutual ensemble learning for brain tumor segmentation. Neurocomputing 504: 68-81 (2022) - [c15]Fan Yang, Weicheng Xie, Tao Zhong, Jingyu Hu, Linlin Shen:
Augmented Feature Representation with Parallel Convolution for Cross-domain Facial Expression Recognition. CCBR 2022: 297-306 - [c14]Ka-Hei Hui, Ruihui Li, Jingyu Hu, Chi-Wing Fu:
Neural Template: Topology-aware Reconstruction and Disentangled Generation of 3D Meshes. CVPR 2022: 18551-18561 - [c13]Jingyu Hu, Zhiqin Liu, Qingfeng Wang:
Breast Density Segmentation in Mammograms Based on Dual Attention Mechanism. ISAIMS 2022: 430-435 - [c12]Jingyu Hu, Xiaojing Gu, Yanxia Wu, Xingsheng Gu:
RoI Uncertainty for RGB-Thermal Image Segmentation. MLMI 2022: 132-139 - [c11]Ka-Hei Hui, Ruihui Li, Jingyu Hu, Chi-Wing Fu:
Neural Wavelet-domain Diffusion for 3D Shape Generation. SIGGRAPH Asia 2022: 24:1-24:9 - [i2]Ka-Hei Hui, Ruihui Li, Jingyu Hu, Chi-Wing Fu:
Neural Template: Topology-aware Reconstruction and Disentangled Generation of 3D Meshes. CoRR abs/2206.04942 (2022) - [i1]Ka-Hei Hui, Ruihui Li, Jingyu Hu, Chi-Wing Fu:
Neural Wavelet-domain Diffusion for 3D Shape Generation. CoRR abs/2209.08725 (2022) - 2021
- [j7]Jingyu Hu, Xiaojing Gu, Xingsheng Gu:
Dual-pathway DenseNets with fully lateral connections for multimodal brain tumor segmentation. Int. J. Imaging Syst. Technol. 31(1): 364-378 (2021) - 2020
- [j6]Yinling Wang, Lei Yu, Lizhen Zhang, Liuyang Bai, Xiaolei Guo, Jingyu Hu, Jiangong Li:
Photoelectric performance analysis of infrared detector based on image processing. Multim. Tools Appl. 79(25-26): 18515-18526 (2020) - [j5]Keke Geng, Ge Dong, Guodong Yin, Jingyu Hu:
Deep Dual-Modal Traffic Objects Instance Segmentation Method Using Camera and LIDAR Data for Autonomous Driving. Remote. Sens. 12(20): 3274 (2020) - [c10]Jingyu Hu, Nobuyuki Kita, Yasuyo Kita:
Clothing Category Classification using Common Models Adaptively Adjusted to Observation. VISIGRAPP (5: VISAPP) 2020: 310-317
2010 – 2019
- 2015
- [c9]Jingyu Hu, Yasuyo Kita:
Classification of the category of clothing item after bringing it into limited shapes. Humanoids 2015: 588-594 - 2011
- [c8]Jingyu Hu, Nan Li, Jeff Offutt:
An Analysis of OO Mutation Operators. ICST Workshops 2011: 334-341
2000 – 2009
- 2008
- [j4]Tongyu Song, Jingyu Hu, Xiaohong Li, Edgar Sánchez-Sinencio, Shouli Yan:
A Robust and Scalable Constant- gm Rail-to-Rail CMOS Input Stage With Dynamic Feedback for VLSI Cell Libraries. IEEE Trans. Circuits Syst. I Regul. Pap. 55-I(3): 804-816 (2008) - [j3]Jingyu Hu, Mike R. May, Matt D. Felder, Lawrence H. Ragan:
A Fully Integrated Variable-Gain Multi-tanh Low-Noise Amplifier for Tunable FM Radio Receiver Front-End. IEEE Trans. Circuits Syst. I Regul. Pap. 55-I(7): 1805-1814 (2008) - 2007
- [j2]Tongyu Song, Jingyu Hu, Xiaohong Li, Shouli Yan:
A Constant- gm Constant-Slew-Rate Rail-to-Rail Input Stage With Static Feedback and Dynamic Current Steering for VLSI Cell Libraries. IEEE Trans. Circuits Syst. II Express Briefs 54-II(1): 76-80 (2007) - [c7]Jingyu Hu, Mike R. May, Matt D. Felder, Len DiSanza, Lawrence H. Ragan:
A Fully Integrated Inductorless Low Noise Amplifier with 1dB-Step Programmable Gain for FM Radio Receiver Front-End. ISCAS 2007: 2806-2809 - 2006
- [j1]Jingyu Hu, Scott L. Miller:
Performance analysis of convolutionally coded systems over quasi-static fading channels. IEEE Trans. Wirel. Commun. 5(4): 789-795 (2006) - 2005
- [c6]Shouli Yan, Jingyu Hu, Tongyu Song:
Novel and robust constant-gm technique for rail-to-rail CMOS amplifier input stages. ISCAS (3) 2005: 2563-2566 - [c5]Shouli Yan, Jingyu Hu, Tongyu Song, Edgar Sánchez-Sinencio:
A constant-gm rail-to-rail op amp input stage using dynamic current scaling technique. ISCAS (3) 2005: 2567-2570 - [c4]Shouli Yan, Jingyu Hu, Tongyu Song, Edgar Sánchez-Sinencio:
Constant-gm techniques for rail-to-rail CMOS amplifier input stages: a comparative study. ISCAS (3) 2005: 2571-2574 - [c3]Feng Zhu, Shouli Yan, Jingyu Hu, Edgar Sánchez-Sinencio:
Feedforward reversed nested Miller compensation techniques for three-stage amplifiers. ISCAS (3) 2005: 2575-2578 - [c2]Jingyu Hu, Scott L. Miller:
Novel performance upper bounds for space-time trellis codes over quasi-static fading channels. WCNC 2005: 1103-1107 - 2003
- [c1]Jingyu Hu, Scott L. Miller:
An improved upper bound on the performance of convolutional codes over quasistatic fading channels. GLOBECOM 2003: 1593-1597
Coauthor Index
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