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2020 – today
- 2024
[j47]Jiajun Wu
, Fan Dong, Henry Leung, Zhuangdi Zhu, Jiayu Zhou, Steve Drew:
Topology-aware Federated Learning in Edge Computing: A Comprehensive Survey. ACM Comput. Surv. 56(10): 262 (2024)- [j46]Shan-Ju Yeh, Shreya Paithankar, Ruoqiao Chen, Jing Xing, Mengying Sun, Ke Liu, Jiayu Zhou, Bin Chen:
TransCell: In Silico Characterization of Genomic Landscape and Cellular Responses by Deep Transfer Learning. Genom. Proteom. Bioinform. 22(1) (2024) - [j45]Suraj Rajendran, Weishen Pan, Mert R. Sabuncu, Yong Chen, Jiayu Zhou, Fei Wang:
Learning across diverse biomedical data modalities and cohorts: Challenges and opportunities for innovation. Patterns 5(2): 100913 (2024) - [j44]Xiaoqiang Zhu, Jiayu Zhou, Lihua You, Xiaosong Yang, Jian Chang, Jian Jun Zhang, Dan Zeng:
DFIE3D: 3D-Aware Disentangled Face Inversion and Editing via Facial-Contrastive Learning. IEEE Trans. Circuits Syst. Video Technol. 34(9): 8310-8326 (2024) - [j43]Jingyi Hou, Zhen Dong, Jiayu Zhou, Zhijie Liu:
Discovering Predictable Latent Factors for Time Series Forecasting. IEEE Trans. Knowl. Data Eng. 36(10): 5106-5119 (2024) - [c126]Yuyang Deng, Junyuan Hong, Jiayu Zhou, Mehrdad Mahdavi:
On the Generalization Ability of Unsupervised Pretraining. AISTATS 2024: 4519-4527 - [c125]Fan Dong, Ali Abbasi, Henry Leung, Xin Wang, Jiayu Zhou, Steve Drew:
Federated Learning Model Aggregation in Heterogenous Aerial and Space Networks. ICC Workshops 2024: 1262-1267 - [c124]Ali Abbasi, Fan Dong, Xin Wang, Henry Leung, Jiayu Zhou, Steve Drew:
FedGreen: Carbon-Aware Federated Learning with Model Size Adaptation. ICC Workshops 2024: 1352-1358 - [c123]Shuyang Yu, Junyuan Hong, Haobo Zhang, Haotao Wang, Zhangyang Wang, Jiayu Zhou:
Safe and Robust Watermark Injection with a Single OoD Image. ICLR 2024 - [c122]Bao Hoang, Yijiang Pang, Siqi Liang, Liang Zhan, Paul M. Thompson, Jiayu Zhou:
Distributed Harmonization: Federated Clustered Batch Effect Adjustment and Generalization. KDD 2024: 5105-5115 - [c121]Junyuan Hong, Carl Yang, Zhuangdi Zhu, Zheng Xu, Nathalie Baracaldo, Neil Shah, Salman Avestimehr, Jiayu Zhou:
FedKDD: International Joint Workshop on Federated Learning for Data Mining and Graph Analytics. KDD 2024: 6718-6719 - [c120]Jiayu Zhou, Qiang Zhao, Peiru Huang, Junzhe Lu, Yaoqi Sun:
A ConvNeXt-Based Network for Aerial-view Geo-localization in Multiple Environment. UAVM 2024: 24-28 - [i63]Yijiang Pang, Jiayu Zhou:
Stochastic Two Points Method for Deep Model Zeroth-order Optimization. CoRR abs/2402.01621 (2024) - [i62]Yuyang Deng, Junyuan Hong, Jiayu Zhou, Mehrdad Mahdavi:
On the Generalization Ability of Unsupervised Pretraining. CoRR abs/2403.06871 (2024) - [i61]Yijiang Pang, Hoang Bao, Jiayu Zhou:
Cross-modality debiasing: using language to mitigate sub-population shifts in imaging. CoRR abs/2403.07888 (2024) - [i60]Ali Abbasi, Fan Dong, Xin Wang, Henry Leung, Jiayu Zhou, Steve Drew:
FedGreen: Carbon-aware Federated Learning with Model Size Adaptation. CoRR abs/2404.15503 (2024) - [i59]Yijiang Pang, Shuyang Yu, Hoang Bao, Jiayu Zhou:
Towards Stability of Parameter-free Optimization. CoRR abs/2405.04376 (2024) - [i58]Hoang Bao, Yijiang Pang, Siqi Liang, Liang Zhan, Paul M. Thompson, Jiayu Zhou:
Distributed Harmonization: Federated Clustered Batch Effect Adjustment and Generalization. CoRR abs/2405.15081 (2024) - [i57]Jiankun Wang, Sumyeong Ahn, Taykhoom Dalal, Xiaodan Zhang, Weishen Pan, Qiannan Zhang, Bin Chen, Hiroko H. Dodge, Fei Wang, Jiayu Zhou:
Augmented Risk Prediction for the Onset of Alzheimer's Disease from Electronic Health Records with Large Language Models. CoRR abs/2405.16413 (2024) - [i56]Siqi Liang, Sumyeong Ahn, Jiayu Zhou:
Distributed In-Context Learning under Non-IID Among Clients. CoRR abs/2408.00144 (2024) - 2023
- [j42]Haoyu Shu, Jiayu Zhou, Wen Yang, Heng Zhang:
Distortion-based state security codes for distributed sensor networks. Autom. 151: 110904 (2023) - [j41]Wenjie Ding, Jiayu Zhou, Wen Yang, Yang Tang:
An efficient encoding mechanism against eavesdropper with side channel information. Autom. 153: 111062 (2023) - [j40]Shanna Liu, Hao Zhang, Chang Li, Weifang Dai, Jinyu Wu, Yuanyuan Wu, Wenwen Su, Bin Xia, Jiayu Zhou, Yuqiang Shen, Xinjian Zhu:
A method of motion estimation of segmental ventricular wall with tracking of ultrasonic echocardiogram. BMC Medical Imaging 23(1): 88 (2023) - [j39]Zhaonan Qu, Kaixiang Lin, Zhaojian Li, Jiayu Zhou, Zhengyuan Zhou:
A Unified Linear Speedup Analysis of Federated Averaging and Nesterov FedAvg. J. Artif. Intell. Res. 78: 1143-1200 (2023) - [j38]Yue Luo, Yun Liu, Wen Yang, Jiayu Zhou, Taolin Lv:
Distributed filtering algorithm based on local outlier factor under data integrity attacks. J. Frankl. Inst. 360(12): 9290-9306 (2023) - [j37]Zhuangdi Zhu, Kaixiang Lin, Anil K. Jain, Jiayu Zhou:
Transfer Learning in Deep Reinforcement Learning: A Survey. IEEE Trans. Pattern Anal. Mach. Intell. 45(11): 13344-13362 (2023) - [j36]Jiayu Zhou, Wen Yang, Wenjie Ding, Wei Xing Zheng, Yong Xu:
Watermarking-Based Protection Strategy Against Stealthy Integrity Attack on Distributed State Estimation. IEEE Trans. Autom. Control. 68(1): 628-635 (2023) - [j35]Jiayu Zhou, Yue Luo, Yun Liu, Wen Yang:
Eavesdropping Strategies for Remote State Estimation Under Communication Constraints. IEEE Trans. Inf. Forensics Secur. 18: 2250-2261 (2023) - [j34]Yan Yu, Wen Yang, Wenjie Ding, Jiayu Zhou:
Reinforcement Learning Solution for Cyber-Physical Systems Security Against Replay Attacks. IEEE Trans. Inf. Forensics Secur. 18: 2583-2595 (2023) - [j33]Haotao Wang, Junyuan Hong, Jiayu Zhou, Zhangyang Wang:
How Robust is Your Fairness? Evaluating and Sustaining Fairness under Unseen Distribution Shifts. Trans. Mach. Learn. Res. 2023 (2023) - [j32]Xiaomin Ouyang, Zhiyuan Xie, Jiayu Zhou, Guoliang Xing, Jianwei Huang:
ClusterFL: A Clustering-based Federated Learning System for Human Activity Recognition. ACM Trans. Sens. Networks 19(1): 17:1-17:32 (2023) - [j31]Yun Liu, Wen Yang, Jiayu Zhou, Yue Luo:
H∞ Filter for Discrete-Time Periodic Piecewise Systems With Missing Measurements. IEEE Trans. Syst. Man Cybern. Syst. 53(9): 5648-5657 (2023) - [j30]Chang Liu, Jiayu Zhou, Ying Gao, Deli Qiao, Haifeng Qian:
IRS-Aided Secure Communications Over an Untrusted AF Relay System. IEEE Trans. Wirel. Commun. 22(12): 8620-8633 (2023) - [c119]Junyuan Hong, Haotao Wang, Zhangyang Wang, Jiayu Zhou:
Federated Robustness Propagation: Sharing Adversarial Robustness in Heterogeneous Federated Learning. AAAI 2023: 7893-7901 - [c118]Yuanzhuo Xu, Xiaoguang Niu, Jie Yang, Steve Drew, Jiayu Zhou, Ruizhi Chen:
USDNL: Uncertainty-Based Single Dropout in Noisy Label Learning. AAAI 2023: 10648-10656 - [c117]Yunkai Bao, Steve Drew, Xin Wang, Jiayu Zhou, Xiaoguang Niu:
Federated Learning with Client Availability Budgets. GLOBECOM 2023: 1902-1907 - [c116]Jiajun Wu, Steve Drew, Jiayu Zhou:
FedLE: Federated Learning Client Selection with Lifespan Extension for Edge IoT Networks. ICC 2023: 985-990 - [c115]Junyuan Hong, Lingjuan Lyu, Jiayu Zhou, Michael Spranger:
MECTA: Memory-Economic Continual Test-Time Model Adaptation. ICLR 2023 - [c114]Shuyang Yu, Junyuan Hong, Haotao Wang, Zhangyang Wang, Jiayu Zhou:
Turning the Curse of Heterogeneity in Federated Learning into a Blessing for Out-of-Distribution Detection. ICLR 2023 - [c113]Junyuan Hong, Yi Zeng, Shuyang Yu, Lingjuan Lyu, Ruoxi Jia, Jiayu Zhou:
Revisiting Data-Free Knowledge Distillation with Poisoned Teachers. ICML 2023: 13199-13212 - [c112]Jiayu Zhou, Xiaoqiang Zhu:
EHA3D: Expressive Head Avatar via Disentangled Latent Code. IFTC (1) 2023: 243-257 - [c111]Junyuan Hong, Zhuangdi Zhu, Lingjuan Lyu, Yang Zhou, Vishnu Naresh Boddeti, Jiayu Zhou:
International Workshop on Federated Learning for Distributed Data Mining. KDD 2023: 5861-5862 - [c110]Chen Zhao, Feng Chen, Xintao Wu, Haifeng Chen, Jiayu Zhou:
2nd Workshop on Ethical Artificial Intelligence: Methods and Applications (EAI). KDD 2023: 5903-5904 - [c109]Xiaomin Ouyang, Zhiyuan Xie, Heming Fu, Sitong Cheng, Li Pan, Neiwen Ling, Guoliang Xing, Jiayu Zhou, Jianwei Huang:
Harmony: Heterogeneous Multi-Modal Federated Learning through Disentangled Model Training. MobiSys 2023: 530-543 - [c108]Haobo Zhang, Junyuan Hong, Yuyang Deng, Mehrdad Mahdavi, Jiayu Zhou:
Understanding Deep Gradient Leakage via Inversion Influence Functions. NeurIPS 2023 - [c107]Xuan Wang, Guanhong Wang, Wenhao Chai, Jiayu Zhou, Gaoang Wang:
User-Aware Prefix-Tuning Is a Good Learner for Personalized Image Captioning. PRCV (7) 2023: 384-395 - [i55]Jiajun Wu, Steve Drew, Fan Dong, Zhuangdi Zhu, Jiayu Zhou:
Topology-aware Federated Learning in Edge Computing: A Comprehensive Survey. CoRR abs/2302.02573 (2023) - [i54]Jiajun Wu, Steve Drew, Jiayu Zhou:
FedLE: Federated Learning Client Selection with Lifespan Extension for Edge IoT Networks. CoRR abs/2302.07305 (2023) - [i53]Qianqian Xie, Jiayu Zhou, Yifan Peng, Fei Wang:
FactReranker: Fact-guided Reranker for Faithful Radiology Report Summarization. CoRR abs/2303.08335 (2023) - [i52]Jingyi Hou, Zhen Dong, Jiayu Zhou, Zhijie Liu:
Discovering Predictable Latent Factors for Time Series Forecasting. CoRR abs/2303.10426 (2023) - [i51]Suraj Rajendran, Weishen Pan, Mert R. Sabuncu, Yong Chen, Jiayu Zhou, Fei Wang:
Patchwork Learning: A Paradigm Towards Integrative Analysis across Diverse Biomedical Data Sources. CoRR abs/2305.06217 (2023) - [i50]Fan Dong, Ali Abbasi, Steve Drew, Henry Leung, Xin Wang, Jiayu Zhou:
WeiAvg: Federated Learning Model Aggregation Promoting Data Diversity. CoRR abs/2305.16351 (2023) - [i49]Junyuan Hong, Yi Zeng, Shuyang Yu, Lingjuan Lyu, Ruoxi Jia, Jiayu Zhou:
Revisiting Data-Free Knowledge Distillation with Poisoned Teachers. CoRR abs/2306.02368 (2023) - [i48]Siqi Liang, Jintao Huang, Dun Zeng, Junyuan Hong, Jiayu Zhou, Zenglin Xu:
FedNoisy: Federated Noisy Label Learning Benchmark. CoRR abs/2306.11650 (2023) - [i47]Shuyang Yu, Junyuan Hong, Haobo Zhang, Haotao Wang, Zhangyang Wang, Jiayu Zhou:
Safe and Robust Watermark Injection with a Single OoD Image. CoRR abs/2309.01786 (2023) - [i46]Haobo Zhang, Junyuan Hong, Yuyang Deng, Mehrdad Mahdavi, Jiayu Zhou:
Understanding Deep Gradient Leakage via Inversion Influence Functions. CoRR abs/2309.13016 (2023) - [i45]Shuyang Yu, Junyuan Hong, Yi Zeng, Fei Wang, Ruoxi Jia, Jiayu Zhou:
Who Leaked the Model? Tracking IP Infringers in Accountable Federated Learning. CoRR abs/2312.03205 (2023) - [i44]Xuan Wang, Guanhong Wang, Wenhao Chai, Jiayu Zhou, Gaoang Wang:
User-Aware Prefix-Tuning is a Good Learner for Personalized Image Captioning. CoRR abs/2312.04793 (2023) - [i43]Xiaodan Zhang, Sandeep Vemulapalli, Nabasmita Talukdar, Sumyeong Ahn, Jiankun Wang, Han Meng, Sardar Mehtab Bin Murtaza, Aakash Ajay Dave, Dmitry Leshchiner, Dimitri F. Joseph, Martin Witteveen-Lane, Dave Chesla, Jiayu Zhou, Bin Chen:
Large Language Models in Medical Term Classification and Unexpected Misalignment Between Response and Reasoning. CoRR abs/2312.14184 (2023) - 2022
- [j29]Khoa Nguyen, Steve Drew, Changcheng Huang, Jiayu Zhou:
Parked Vehicles Task Offloading in Edge Computing. IEEE Access 10: 41592-41606 (2022) - [j28]Jiayu Zhou, Wen Yang, Heng Zhang, Wei Xing Zheng, Yong Xu, Yang Tang:
Security analysis and defense strategy of distributed filtering under false data injection attacks. Autom. 138: 110151 (2022) - [j27]Jiayu Zhou, Deli Qiao, Haifeng Qian:
Virtual full-duplex buffer-aided relay selection schemes for secure cooperative wireless networks. EURASIP J. Wirel. Commun. Netw. 2022(1): 44 (2022) - [j26]Jian Liang, Ziqi Liu, Jiayu Zhou, Xiaoqian Jiang, Changshui Zhang, Fei Wang:
Model-Protected Multi-Task Learning. IEEE Trans. Pattern Anal. Mach. Intell. 44(2): 1002-1019 (2022) - [j25]Yue Luo, Jiayu Zhou, Wen Yang:
Distributed State Estimation With Colored Noises. IEEE Trans. Circuits Syst. II Express Briefs 69(6): 2807-2811 (2022) - [j24]Wenjie Ding, Wen Yang, Jiayu Zhou, Ling Shi, Guanrong Chen:
Privacy Preserving via Secure Summation in Distributed Kalman Filtering. IEEE Trans. Control. Netw. Syst. 9(3): 1481-1492 (2022) - [j23]Jiayu Zhou, Wenjie Ding, Wen Yang:
A Secure Encoding Mechanism Against Deception Attacks on Multisensor Remote State Estimation. IEEE Trans. Inf. Forensics Secur. 17: 1959-1969 (2022) - [j22]Zhizhe Liu, Zhenfeng Zhu, Shuai Zheng, Yang Liu, Jiayu Zhou, Yao Zhao:
Margin Preserving Self-Paced Contrastive Learning Towards Domain Adaptation for Medical Image Segmentation. IEEE J. Biomed. Health Informatics 26(2): 638-647 (2022) - [c106]Boyang Liu, Pang-Ning Tan, Jiayu Zhou:
Unsupervised Anomaly Detection by Robust Density Estimation. AAAI 2022: 4101-4108 - [c105]Zhuangdi Zhu, Kaixiang Lin, Bo Dai, Jiayu Zhou:
Self-Adaptive Imitation Learning: Learning Tasks with Delayed Rewards from Sub-optimal Demonstrations. AAAI 2022: 9269-9277 - [c104]Jiayu Zhou, Jing Ye, Yue Ouyang, Manyuan Tong, Xuedong Pan, Jerry Gao:
On Building Real Time Intelligent Agricultural. BigDataService 2022: 89-95 - [c103]Jiayu Zhou, Jinxu Tao, Yihao Yang, Jiaqi Wang, Xinyu Guo:
Research On Temperature Control In High Intensity Focused Ultrasound Therapy Based On Res-BPPID. CACRE 2022: 153-159 - [c102]Jiayu Zhou, Jinxu Tao, Yihao Yang, Jiaqi Wang, Xinyu Guo:
Optimization Of HIFU Focused Sound Field Based On Improved Sparrow Search Algorithm. ICCCS 2022: 858-865 - [c101]Guangliang Liu, Lifeng Jin, Owen Yuan, Jiayu Zhou:
Dynamic Augmentation Data Selection for Few-shot Text Classification. EMNLP (Findings) 2022: 4841-4852 - [c100]Junyuan Hong, Zhangyang Wang, Jiayu Zhou:
Dynamic Privacy Budget Allocation Improves Data Efficiency of Differentially Private Gradient Descent. FAccT 2022: 11-35 - [c99]Shuyang Yu, Zhuangdi Zhu, Boyang Liu, Anil K. Jain, Jiayu Zhou:
Robust Unsupervised Domain Adaptation from A Corrupted Source. ICDM 2022: 1299-1304 - [c98]Junyuan Hong, Haotao Wang, Zhangyang Wang, Jiayu Zhou:
Efficient Split-Mix Federated Learning for On-Demand and In-Situ Customization. ICLR 2022 - [c97]Zhuangdi Zhu, Junyuan Hong, Steve Drew, Jiayu Zhou:
Resilient and Communication Efficient Learning for Heterogeneous Federated Systems. ICML 2022: 27504-27526 - [c96]Shuxin Chen, Jiayu Zhou, Yaohua Li, Giuseppe Guidi, Jon Are Suul, Yi Tang:
Ensuring Soft Switching During Transient Operations of Wireless Power Transfer Systems with Frequency Control. IECON 2022: 1-6 - [c95]Jiayu Zhou, Giuseppe Guidi, Shuxin Chen, Yi Tang, Jon Are Suul:
A Hysteresis ON-OFF Control Method of Inductive Power Transfer Systems with Low Output Ripples and Fast Transient Responses. IECON 2022: 1-7 - [c94]Mengying Sun, Jing Xing, Han Meng, Huijun Wang, Bin Chen, Jiayu Zhou:
MolSearch: Search-based Multi-objective Molecular Generation and Property Optimization. KDD 2022: 4724-4732 - [c93]Xiaomin Ouyang, Xian Shuai, Jiayu Zhou, Ivy Wang Shi, Zhiyuan Xie, Guoliang Xing, Jianwei Huang:
Cosmo: contrastive fusion learning with small data for multimodal human activity recognition. MobiCom 2022: 324-337 - [c92]Junyuan Hong, Lingjuan Lyu, Jiayu Zhou, Michael Spranger:
Outsourcing Training without Uploading Data via Efficient Collaborative Open-Source Sampling. NeurIPS 2022 - [c91]Haotao Wang, Junyuan Hong, Aston Zhang, Jiayu Zhou, Zhangyang Wang:
Trap and Replace: Defending Backdoor Attacks by Trapping Them into an Easy-to-Replace Subnetwork. NeurIPS 2022 - [i42]Junyuan Hong, Haotao Wang, Zhangyang Wang, Jiayu Zhou:
Efficient Split-Mix Federated Learning for On-Demand and In-Situ Customization. CoRR abs/2203.09747 (2022) - [i41]Haotao Wang, Junyuan Hong, Jiayu Zhou, Zhangyang Wang:
How Robust is Your Fairness? Evaluating and Sustaining Fairness under Unseen Distribution Shifts. CoRR abs/2207.01168 (2022) - [i40]Haotao Wang, Junyuan Hong, Aston Zhang, Jiayu Zhou, Zhangyang Wang:
Trap and Replace: Defending Backdoor Attacks by Trapping Them into an Easy-to-Replace Subnetwork. CoRR abs/2210.06428 (2022) - [i39]Junyuan Hong, Lingjuan Lyu, Jiayu Zhou, Michael Spranger:
Outsourcing Training without Uploading Data via Efficient Collaborative Open-Source Sampling. CoRR abs/2210.12575 (2022) - 2021
- [j21]Weiliang Jiang, Wen Yang, Jiayu Zhou, Wenjie Ding, Yue Luo, Yun Liu:
Reinforcement Learning-Based Detection for State Estimation Under False Data Injection. IEEE Access 9: 66498-66508 (2021) - [j20]Jiayu Zhou, Yanqing Ye, Jiang Jiang:
Kernel principal components based cascade forest towards disease identification with human microbiota. BMC Medical Informatics Decis. Mak. 21(1): 360 (2021) - [j19]Yong Xu, Jiayu Zhou, Hong-Xia Rao, Renquan Lu, Lihua Xie:
Reset Moving Horizon Estimation for Quantized Discrete Time Systems. IEEE Trans. Autom. Control. 66(9): 4199-4205 (2021) - [j18]Jianpeng Xu, Jiayu Zhou, Pang-Ning Tan, Xi Liu, Lifeng Luo:
Spatio-Temporal Multi-Task Learning via Tensor Decomposition. IEEE Trans. Knowl. Data Eng. 33(6): 2764-2775 (2021) - [c90]Junyuan Hong, Haotao Wang, Zhangyang Wang, Jiayu Zhou:
Learning Model-Based Privacy Protection under Budget Constraints. AAAI 2021: 7702-7710 - [c89]Divyansh Aggarwal, Jiayu Zhou, Anil K. Jain:
FedFace: Collaborative Learning of Face Recognition Model. IJCB 2021: 1-8 - [c88]Khoa Nguyen, Steve Drew, Changcheng Huang, Jiayu Zhou:
EdgePV: Collaborative Edge Computing Framework for Task Offloading. ICC 2021: 1-6 - [c87]Jiayu Zhou, Deli Qiao, Haifeng Qian:
Imitating Full-Duplex Secure Communication with Buffer-Aided Half-Duplex Relays. ICC 2021: 1-6 - [c86]Boyang Liu, Mengying Sun, Ding Wang, Pang-Ning Tan, Jiayu Zhou:
Learning Deep Neural Networks under Agnostic Corrupted Supervision. ICML 2021: 6957-6967 - [c85]Zhuangdi Zhu, Junyuan Hong, Jiayu Zhou:
Data-Free Knowledge Distillation for Heterogeneous Federated Learning. ICML 2021: 12878-12889 - [c84]Boyang Liu, Ding Wang, Kaixiang Lin, Pang-Ning Tan, Jiayu Zhou:
RCA: A Deep Collaborative Autoencoder Approach for Anomaly Detection. IJCAI 2021: 1505-1511 - [c83]Jun Chen, Jieping Ye, Fengyi Tang, Jiayu Zhou:
Automatic Detection of Alzheimer's Disease Using Spontaneous Speech Only. Interspeech 2021: 3830-3834 - [c82]Junyuan Hong, Zhuangdi Zhu, Shuyang Yu, Zhangyang Wang, Hiroko H. Dodge, Jiayu Zhou:
Federated Adversarial Debiasing for Fair and Transferable Representations. KDD 2021: 617-627 - [c81]Mengying Sun, Jing Xing, Huijun Wang, Bin Chen, Jiayu Zhou:
MoCL: Data-driven Molecular Fingerprint via Knowledge-aware Contrastive Learning from Molecular Graph. KDD 2021: 3585-3594 - [c80]Yongshun Gong, Jinfeng Yi, Dongdong Chen, Jian Zhang, Jiayu Zhou, Zhihua Zhou:
Inferring the Importance of Product Appearance with Semi-supervised Multi-modal Enhancement: A Step Towards the Screenless Retailing. ACM Multimedia 2021: 1120-1128 - [c79]Xiaomin Ouyang, Zhiyuan Xie, Jiayu Zhou, Jianwei Huang, Guoliang Xing:
ClusterFL: a similarity-aware federated learning system for human activity recognition. MobiSys 2021: 54-66 - [c78]Linlin Tu, Xiaomin Ouyang, Jiayu Zhou, Yuze He, Guoliang Xing:
FedDL: Federated Learning via Dynamic Layer Sharing for Human Activity Recognition. SenSys 2021: 15-28 - [i38]Junyuan Hong, Zhangyang Wang, Jiayu Zhou:
On Dynamic Noise Influence in Differentially Private Learning. CoRR abs/2101.07413 (2021) - [i37]Boyang Liu, Mengying Sun, Ding Wang, Pang-Ning Tan, Jiayu Zhou:
Learning Deep Neural Networks under Agnostic Corrupted Supervision. CoRR abs/2102.06735 (2021) - [i36]Zhuangdi Zhu, Kaixiang Lin, Bo Dai, Jiayu Zhou:
Off-Policy Imitation Learning from Observations. CoRR abs/2102.13185 (2021) - [i35]Zhizhe Liu, Zhenfeng Zhu, Shuai Zheng, Yang Liu, Jiayu Zhou, Yao Zhao:
Margin Preserving Self-paced Contrastive Learning Towards Domain Adaptation for Medical Image Segmentation. CoRR abs/2103.08454 (2021) - [i34]Divyansh Aggarwal, Jiayu Zhou, Anil K. Jain:
FedFace: Collaborative Learning of Face Recognition Model. CoRR abs/2104.03008 (2021) - [i33]Haomin Yu, Yangli-ao Geng, Yingjun Zhang, Qingyong Li, Jiayu Zhou:
MTNet: A Multi-Task Neural Network for On-Field Calibration of Low-Cost Air Monitoring Sensors. CoRR abs/2105.04425 (2021) - [i32]Zhuangdi Zhu, Junyuan Hong, Jiayu Zhou:
Data-Free Knowledge Distillation for Heterogeneous Federated Learning. CoRR abs/2105.10056 (2021) - [i31]Mengying Sun, Jing Xing, Huijun Wang, Bin Chen, Jiayu Zhou:
MoCL: Contrastive Learning on Molecular Graphs with Multi-level Domain Knowledge. CoRR abs/2106.04509 (2021) - [i30]Junyuan Hong, Haotao Wang, Zhangyang Wang, Jiayu Zhou:
Federated Robustness Propagation: Sharing Adversarial Robustness in Federated Learning. CoRR abs/2106.10196 (2021) - [i29]Fengyi Tang, Lifan Zeng, Fei Wang, Jiayu Zhou:
Persona Authentication through Generative Dialogue. CoRR abs/2110.12949 (2021) - 2020
- [j17]Mengying Sun, Sendong Zhao, Coryandar Gilvary, Olivier Elemento, Jiayu Zhou, Fei Wang:
Graph convolutional networks for computational drug development and discovery. Briefings Bioinform. 21(3): 919-935 (2020) - [j16]Dan Ma, Bin Liu, Zhao Kang, Jiayu Zhou, Jianke Zhu, Zenglin Xu:
Two birds with one stone: Transforming and generating facial images with iterative GAN. Neurocomputing 396: 278-290 (2020) - [c77]Xitong Zhang, He Zhu, Jiayu Zhou:
Shoreline: Data-Driven Threshold Estimation of Online Reserves of Cryptocurrency Trading Platforms. AAAI 2020: 1194-1201 - [c76]Mengying Sun, Fei Wang, Olivier Elemento, Jiayu Zhou:
Structure-Based Drug-Drug Interaction Detection via Expressive Graph Convolutional Networks and Deep Sets (Student Abstract). AAAI 2020: 13927-13928 - [c75]Xitong Zhang, He Zhu, Jiayu Zhou:
Shoreline: Data-Driven Threshold Estimation of Online Reserves of Cryptocurrency Trading Platforms (Student Abstract). AAAI 2020: 13985-13986 - [c74]Khoa Nguyen, Steve Drew, Changcheng Huang, Jiayu Zhou:
Collaborative Container-based Parked Vehicle Edge Computing Framework for Online Task Offloading. CloudNet 2020: 1-6 - [c73]Jiayu Zhou, Deli Qiao:
Alternate Distributed Beamforming for Decode-and-Forward Multi-Relay Systems Using Buffers. ICNC 2020: 878-884 - [c72]Fengyi Tang, Lifan Zeng, Fei Wang, Jiayu Zhou:
Adversarial Precision Sensing with Healthcare Applications. ICDM 2020: 521-530 - [c71]Mengying Sun, Jing Xing, Bin Chen, Jiayu Zhou:
Robust Collaborative Learning with Noisy Labels. ICDM 2020: 1274-1279 - [c70]Kaixiang Lin, Jiayu Zhou:
Ranking Policy Gradient. ICLR 2020 - [c69]Qi Wang, Liang Zhan, Paul M. Thompson, Jiayu Zhou:
Multimodal Learning with Incomplete Modalities by Knowledge Distillation. KDD 2020: 1828-1838 - [c68]Zhuangdi Zhu, Kaixiang Lin, Bo Dai, Jiayu Zhou:
Off-Policy Imitation Learning from Observations. NeurIPS 2020 - [i28]Zhuangdi Zhu, Kaixiang Lin, Bo Dai, Jiayu Zhou:
Learning Sparse Rewarded Tasks from Sub-Optimal Demonstrations. CoRR abs/2004.00530 (2020) - [i27]Jiayu Zhou, Deli Qiao, Haifeng Qian:
Mimicking Full-Duplex Secure Communications for Buffer-Aided Multi-Relay Systems. CoRR abs/2005.07364 (2020) - [i26]Jiayu Zhou, Deli Qiao, Haifeng Qian:
Alternate Distributed Beamforming for Buffer-Aided Multi-Antenna Relay Systems. CoRR abs/2005.07699 (2020) - [i25]Zhaonan Qu, Kaixiang Lin, Jayant Kalagnanam, Zhaojian Li, Jiayu Zhou, Zhengyuan Zhou:
Federated Learning's Blessing: FedAvg has Linear Speedup. CoRR abs/2007.05690 (2020) - [i24]Zhuangdi Zhu, Kaixiang Lin, Jiayu Zhou:
Transfer Learning in Deep Reinforcement Learning: A Survey. CoRR abs/2009.07888 (2020) - [i23]Mengying Sun, Jing Xing, Bin Chen, Jiayu Zhou:
Robust Collaborative Learning with Noisy Labels. CoRR abs/2012.13670 (2020)
2010 – 2019
- 2019
- [j15]Qi Li, Jiayu Zhou, Zengqiang Jiang, Mingcheng E, Jing Ma:
Train Wheel Degradation Modeling and Remaining Useful Life Prediction Based on Mixed Effect Model Considering Dependent Measurement Errors. IEEE Access 7: 159058-159068 (2019) - [j14]Han Cao, Jiayu Zhou, Emanuel Schwarz:
RMTL: an R library for multi-task learning. Bioinform. 35(10): 1797-1798 (2019) - [j13]Yan Li, Lu Wang, Jiayu Zhou, Jieping Ye:
Multi-task learning based survival analysis for multi-source block-wise missing data. Neurocomputing 364: 95-107 (2019) - [j12]Shouxin Zhang, Zili Li, Chao Yang, Yazhou Xu, Jiayu Zhou:
Application of image stitching method in corrosion morphology analysis. J. Electronic Imaging 28(1): 013045 (2019) - [c67]Peng Yang, Peilin Zhao, Jiayu Zhou, Xin Gao:
Confidence Weighted Multitask Learning. AAAI 2019: 5636-5643 - [c66]Xitong Zhang, Liyang Xie, Zheng Wang, Jiayu Zhou:
Boosted Trajectory Calibration for Traffic State Estimation. ICDM 2019: 866-875 - [c65]Peng Han, Peng Yang, Peilin Zhao, Shuo Shang, Yong Liu, Jiayu Zhou, Xin Gao, Panos Kalnis:
GCN-MF: Disease-Gene Association Identification By Graph Convolutional Networks and Matrix Factorization. KDD 2019: 705-713 - [c64]Fengyi Tang, Cao Xiao, Fei Wang, Jiayu Zhou, Li-Wei H. Lehman:
Retaining Privileged Information for Multi-Task Learning. KDD 2019: 1369-1377 - [c63]Xi Sheryl Zhang, Fengyi Tang, Hiroko H. Dodge, Jiayu Zhou, Fei Wang:
MetaPred: Meta-Learning for Clinical Risk Prediction with Limited Patient Electronic Health Records. KDD 2019: 2487-2495 - [c62]Boyang Liu, Pang-Ning Tan, Jiayu Zhou:
Augmented Multi-Task Learning by Optimal Transport. SDM 2019: 19-27 - [c61]Qi Wang, Claire Boudreau, Qixing Luo, Pang-Ning Tan, Jiayu Zhou:
Deep Multi-view Information Bottleneck. SDM 2019: 37-45 - [i22]Mohit Sharma, Jiayu Zhou, Junling Hu, George Karypis:
Feature-based factorized Bilinear Similarity Model for Cold-Start Top-n Item Recommendation. CoRR abs/1904.11799 (2019) - [i21]Xi Sheryl Zhang, Fengyi Tang, Hiroko H. Dodge, Jiayu Zhou, Fei Wang:
MetaPred: Meta-Learning for Clinical Risk Prediction with Limited Patient Electronic Health Records. CoRR abs/1905.03218 (2019) - [i20]Kaixiang Lin, Jiayu Zhou:
Ranking Policy Gradient. CoRR abs/1906.09674 (2019) - [i19]Jiayu Zhou, Deli Qiao:
Alternate Distributed Beamforming for Decode-and-Forward Multi-Relay Systems Using Buffers. CoRR abs/1910.03954 (2019) - 2018
- [j11]Fen Tang, Jiayu Zhou, Zhen Xin, Songwei Huang, Poh Chiang Loh:
An Improved Three-Phase Voltage Source Converter With High-Performance Operation Under Unbalanced Conditions. IEEE Access 6: 15908-15918 (2018) - [j10]Jiayu Zhou, Yong Xu, Jun-Yi Li, Yachao Li:
Robust state estimation for discrete time systems with colored noises and communication constraints. J. Frankl. Inst. 355(13): 5790-5810 (2018) - [j9]Tarang Chugh, Kai Cao, Jiayu Zhou, Elham Tabassi, Anil K. Jain:
Latent Fingerprint Value Prediction: Crowd-Based Learning. IEEE Trans. Inf. Forensics Secur. 13(1): 20-34 (2018) - [c60]Xi Zhang, Lifang He, Kun Chen, Yuan Luo, Jiayu Zhou, Fei Wang:
Multi-View Graph Convolutional Network and Its Applications on Neuroimage Analysis for Parkinson's Disease. AMIA 2018 - [c59]Inci M. Baytas, Cao Xiao, Fei Wang, Anil K. Jain, Jiayu Zhou:
Heterogeneous Hyper-Network Embedding. ICDM 2018: 875-880 - [c58]Qi Wang, Pang-Ning Tan, Jiayu Zhou:
Imputing Structured Missing Values in Spatial Data with Clustered Adversarial Matrix Factorization. ICDM 2018: 1284-1289 - [c57]Tengfei Ma, Cao Xiao, Jiayu Zhou, Fei Wang:
Drug Similarity Integration Through Attentive Multi-view Graph Auto-Encoders. IJCAI 2018: 3477-3483 - [c56]Jiayu Zhou, Fengyi Tang, He Zhu, Ning Nan, Ziheng Zhou:
Distributed Data Vending on Blockchain. iThings/GreenCom/CPSCom/SmartData 2018: 1100-1107 - [c55]Mengying Sun, Fengyi Tang, Jinfeng Yi, Fei Wang, Jiayu Zhou:
Identify Susceptible Locations in Medical Records via Adversarial Attacks on Deep Predictive Models. KDD 2018: 793-801 - [c54]Kaixiang Lin, Renyu Zhao, Zhe Xu, Jiayu Zhou:
Efficient Large-Scale Fleet Management via Multi-Agent Deep Reinforcement Learning. KDD 2018: 1774-1783 - [c53]Boyang Liu, Pang-Ning Tan, Jiayu Zhou:
Enhancing Predictive Modeling of Nested Spatial Data through Group-Level Feature Disaggregation. KDD 2018: 1784-1793 - [c52]Mengying Sun, Inci M. Baytas, Liang Zhan, Zhangyang Wang, Jiayu Zhou:
Subspace Network: Deep Multi-Task Censored Regression for Modeling Neurodegenerative Diseases. KDD 2018: 2259-2268 - [c51]He Zhu, Changcheng Huang, Jiayu Zhou:
EdgeChain: Blockchain-based Multi-vendor Mobile Edge Application Placement. NetSoft 2018: 222-226 - [c50]Lifang He, Kun Chen, Wanwan Xu, Jiayu Zhou, Fei Wang:
Boosted Sparse and Low-Rank Tensor Regression. NeurIPS 2018: 1017-1026 - [c49]Yan Li, Tao Yang, Jiayu Zhou, Jieping Ye:
Multi-Task Learning based Survival Analysis for Predicting Alzheimer's Disease Progression with Multi-Source Block-wise Missing Data. SDM 2018: 288-296 - [i18]He Zhu, Changcheng Huang, Jiayu Zhou:
EdgeChain: Blockchain-based Multi-vendor Mobile Edge Application Placement. CoRR abs/1801.04035 (2018) - [i17]Mengying Sun, Fengyi Tang, Jinfeng Yi, Fei Wang, Jiayu Zhou:
Identify Susceptible Locations in Medical Records via Adversarial Attacks on Deep Predictive Models. CoRR abs/1802.04822 (2018) - [i16]Fengyi Tang, Kaixiang Lin, Ikechukwu Uchendu, Hiroko H. Dodge, Jiayu Zhou:
Improving Mild Cognitive Impairment Prediction via Reinforcement Learning and Dialogue Simulation. CoRR abs/1802.06428 (2018) - [i15]Kaixiang Lin, Renyu Zhao, Zhe Xu, Jiayu Zhou:
Efficient Large-Scale Fleet Management via Multi-Agent Deep Reinforcement Learning. CoRR abs/1802.06444 (2018) - [i14]Mengying Sun, Inci M. Baytas, Liang Zhan, Zhangyang Wang, Jiayu Zhou:
Subspace Network: Deep Multi-Task Censored Regression for Modeling Neurodegenerative Diseases. CoRR abs/1802.06516 (2018) - [i13]Liyang Xie, Kaixiang Lin, Shu Wang, Fei Wang, Jiayu Zhou:
Differentially Private Generative Adversarial Network. CoRR abs/1802.06739 (2018) - [i12]Jiayu Zhou, Fengyi Tang, He Zhu, Ning Nan, Ziheng Zhou:
Distributed Data Vending on Blockchain. CoRR abs/1803.05871 (2018) - [i11]Tengfei Ma, Cao Xiao, Jiayu Zhou, Fei Wang:
Drug Similarity Integration Through Attentive Multi-view Graph Auto-Encoders. CoRR abs/1804.10850 (2018) - [i10]Xi Zhang, Lifang He, Kun Chen, Yuan Luo, Jiayu Zhou, Fei Wang:
Multi-View Graph Convolutional Network and Its Applications on Neuroimage Analysis for Parkinson's Disease. CoRR abs/1805.08801 (2018) - [i9]Jian Liang, Ziqi Liu, Jiayu Zhou, Xiaoqian Jiang, Changshui Zhang, Fei Wang:
Model-Protected Multi-Task Learning. CoRR abs/1809.06546 (2018) - [i8]Lifang He, Kun Chen, Wanwan Xu, Jiayu Zhou, Fei Wang:
Boosted Sparse and Low-Rank Tensor Regression. CoRR abs/1811.01158 (2018) - 2017
- [j8]Thomas S. Huang, Jiayu Zhou, Zhangyang Wang, Qing Ling, Yang Shen:
Biomedical informatics with optimization and machine learning. EURASIP J. Bioinform. Syst. Biol. 2017: 4 (2017) - [j7]Jianpeng Xu, Pang-Ning Tan, Jiayu Zhou, Lifeng Luo:
Online Multi-Task Learning Framework for Ensemble Forecasting. IEEE Trans. Knowl. Data Eng. 29(6): 1268-1280 (2017) - [c48]Luan Tran, Xiaoming Liu, Jiayu Zhou, Rong Jin:
Missing Modalities Imputation via Cascaded Residual Autoencoder. CVPR 2017: 4971-4980 - [c47]Xiaolong Wang, Yin Zhou, Deguang Kong, Jon Currey, Dawei Li, Jiayu Zhou:
Unleash the Black Magic in Age: A Multi-Task Deep Neural Network Approach for Cross-Age Face Verification. FG 2017: 596-603 - [c46]Lu Wang, Yan Li, Jiayu Zhou, Dongxiao Zhu, Jieping Ye:
Multi-task Survival Analysis. ICDM 2017: 485-494 - [c45]Guangtao Wang, Jiayu Zhou, Jingjie Ni, Tingjin Luo, Wei Long, Hai Zhen, Gao Cong, Jieping Ye:
Robust Self-Tuning Sparse Subspace Clustering. ICDM Workshops 2017: 858-865 - [c44]Shuai Yuan, Jiayu Zhou, Pang-Ning Tan, C. Emi Fergus, Tyler Wagner, Patricia A. Soranno:
Multi-level Multi-task Learning for Modeling Cross-Scale Interactions in Nested Geospatial Data. ICDM 2017: 1153-1158 - [c43]Tao Zeng, Bian Wu, Jiayu Zhou, Ian Davidson, Shuiwang Ji:
Recurrent Encoder-Decoder Networks for Time-Varying Dense Prediction. ICDM 2017: 1165-1170 - [c42]Xiaofan Que, Yazhou Ren, Jiayu Zhou, Zenglin Xu:
Regularized Multi-source Matrix Factorization for Diagnosis of Alzheimer's Disease. ICONIP (1) 2017: 463-473 - [c41]Zhangyang Wang, Shuai Huang, Jiayu Zhou, Thomas S. Huang:
Doubly Sparsifying Network. IJCAI 2017: 3020-3026 - [c40]Inci M. Baytas, Cao Xiao, Xi Zhang, Fei Wang, Anil K. Jain, Jiayu Zhou:
Patient Subtyping via Time-Aware LSTM Networks. KDD 2017: 65-74 - [c39]Qi Wang, Mengying Sun, Liang Zhan, Paul Thompson, Shuiwang Ji, Jiayu Zhou:
Multi-Modality Disease Modeling via Collective Deep Matrix Factorization. KDD 2017: 1155-1164 - [c38]Liyang Xie, Inci M. Baytas, Kaixiang Lin, Jiayu Zhou:
Privacy-Preserving Distributed Multi-Task Learning with Asynchronous Updates. KDD 2017: 1195-1204 - [i7]Kaixiang Lin, Shu Wang, Jiayu Zhou:
Collaborative Deep Reinforcement Learning. CoRR abs/1702.05796 (2017) - 2016
- [j6]Inci M. Baytas, Kaixiang Lin, Fei Wang, Anil K. Jain, Jiayu Zhou:
Stochastic convex sparse principal component analysis. EURASIP J. Bioinform. Syst. Biol. 2016: 15 (2016) - [j5]Shiyu Chang, Guo-Jun Qi, Yingzhen Yang, Charu C. Aggarwal, Jiayu Zhou, Meng Wang, Thomas S. Huang:
Large-scale supervised similarity learning in networks. Knowl. Inf. Syst. 48(3): 707-740 (2016) - [j4]Inci M. Baytas, Kaixiang Lin, Fei Wang, Anil K. Jain, Jiayu Zhou:
PhenoTree: Interactive Visual Analytics for Hierarchical Phenotyping From Large-Scale Electronic Health Records. IEEE Trans. Multim. 18(11): 2257-2270 (2016) - [c37]Jianpeng Xu, Jiayu Zhou, Pang-Ning Tan, Xi Liu, Lifeng Luo:
WISDOM: Weighted incremental spatio-temporal multi-task learning via tensor decomposition. IEEE BigData 2016: 522-531 - [c36]Kai Cao, Tarang Chugh, Jiayu Zhou, Elham Tabassi, Anil K. Jain:
Automatic latent value determination. ICB 2016: 1-8 - [c35]Inci M. Baytas, Ming Yan, Anil K. Jain, Jiayu Zhou:
Asynchronous Multi-task Learning. ICDM 2016: 11-20 - [c34]Kaixiang Lin, Jiayu Zhou:
Interactive Multi-task Relationship Learning. ICDM 2016: 241-250 - [c33]Qi Wang, Pinghua Gong, Shiyu Chang, Thomas S. Huang, Jiayu Zhou:
Robust Convex Clustering Analysis. ICDM 2016: 1263-1268 - [c32]Qi Wang, Liang Zhan, Paul M. Thompson, Hiroko H. Dodge, Jiayu Zhou:
Discriminative fusion of multiple brain networks for early mild cognitive impairment detection. ISBI 2016: 568-572 - [c31]Kaixiang Lin, Jianpeng Xu, Inci M. Baytas, Shuiwang Ji, Jiayu Zhou:
Multi-Task Feature Interaction Learning. KDD 2016: 1735-1744 - [c30]Jianpeng Xu, Kaixiang Lin, Pang-Ning Tan, Jiayu Zhou:
Synergies that Matter: Efficient Interaction Selection via Sparse Factorization Machine. SDM 2016: 108-116 - [c29]Zhangyang Wang, Shiyu Chang, Jiayu Zhou, Meng Wang, Thomas S. Huang:
Learning A Task-Specific Deep Architecture For Clustering. SDM 2016: 369-377 - [c28]Jianpeng Xu, Pang-Ning Tan, Lifeng Luo, Jiayu Zhou:
GSpartan: a Geospatio-Temporal Multi-task Learning Framework for Multi-location Prediction. SDM 2016: 657-665 - [i6]Zhangyang Wang, Liang Zhang, Yingzhen Yang, Jiayu Zhou, Georgios B. Giannakis, Thomas S. Huang:
Deep Double Sparsity Encoder: Learning to Sparsify Not Only Features But Also Parameters. CoRR abs/1608.06374 (2016) - [i5]Inci M. Baytas, Ming Yan, Anil K. Jain, Jiayu Zhou:
Asynchronous Multi-Task Learning. CoRR abs/1609.09563 (2016) - 2015
- [c27]Shiyu Chang, Jiayu Zhou, Pirooz Chubak, Junling Hu, Thomas S. Huang:
A Space Alignment Method for Cold-Start TV Show Recommendations. IJCAI 2015: 3373-3379 - [c26]Liang Zhan, Yashu Liu, Jiayu Zhou, Jieping Ye, Paul M. Thompson:
Boosting classification accuracy of diffusion MRI derived brain networks for the subtypes of mild cognitive impairment using higher order singular value decomposition. ISBI 2015: 131-135 - [c25]Mohit Sharma, Jiayu Zhou, Junling Hu, George Karypis:
Feature-based factorized Bilinear Similarity Model for Cold-Start Top-n Item Recommendation. SDM 2015: 190-198 - [c24]Jianpeng Xu, Jiayu Zhou, Pang-Ning Tan:
FORMULA: FactORized MUlti-task LeArning for task discovery in personalized medical models. SDM 2015: 496-504 - [c23]Preeti Bhargava, Thomas Phan, Jiayu Zhou, Juhan Lee:
Who, What, When, and Where: Multi-Dimensional Collaborative Recommendations Using Tensor Factorization on Sparse User-Generated Data. WWW 2015: 130-140 - [e1]Jun Huan, Satoru Miyano, Amarda Shehu, Xiaohua Tony Hu, Bin Ma, Sanguthevar Rajasekaran, Vijay K. Gombar, Matthieu-P. Schapranow, Illhoi Yoo, Jiayu Zhou, Brian Chen, Vinay Pai, Brian G. Pierce:
2015 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2015, Washington, DC, USA, November 9-12, 2015. IEEE Computer Society 2015, ISBN 978-1-4673-6799-8 [contents] - [i4]Zhangyang Wang, Xianming Liu, Shiyu Chang, Jiayu Zhou, Guo-Jun Qi, Thomas S. Huang:
Decentralized Recommender Systems. CoRR abs/1503.01647 (2015) - [i3]Zhangyang Wang, Shiyu Chang, Jiayu Zhou, Thomas S. Huang:
Learning A Task-Specific Deep Architecture For Clustering. CoRR abs/1509.00151 (2015) - 2014
- [b1]Jiayu Zhou:
Multi-Task Learning and Its Applications to Biomedical Informatics. Arizona State University, Tempe, USA, 2014 - [j3]Rashmi Dubey, Jiayu Zhou, Yalin Wang, Paul M. Thompson, Jieping Ye:
Analysis of sampling techniques for imbalanced data: An n = 648 ADNI study. NeuroImage 87: 220-241 (2014) - [c22]Qiang Zhang, Jiayu Zhou, Yilin Wang, Jieping Ye, Baoxin Li:
Image Cosegmentation via Multi-task Learning. BMVC 2014 - [c21]Shiyu Chang, Guo-Jun Qi, Charu C. Aggarwal, Jiayu Zhou, Meng Wang, Thomas S. Huang:
Factorized Similarity Learning in Networks. ICDM 2014: 60-69 - [c20]Fei Wang, Jiayu Zhou, Jianying Hu:
DensityTransfer: A Data Driven Approach for Imputing Electronic Health Records. ICPR 2014: 2763-2768 - [c19]Jiayu Zhou, Fei Wang, Jianying Hu, Jieping Ye:
From micro to macro: data driven phenotyping by densification of longitudinal electronic medical records. KDD 2014: 135-144 - [c18]Pinghua Gong, Jiayu Zhou, Wei Fan, Jieping Ye:
Efficient multi-task feature learning with calibration. KDD 2014: 761-770 - [c17]Sinchai Tsao, Niharika Gajawelli, Jiayu Zhou, Jie Shi, Jieping Ye, Yalin Wang, Natasha Leporé:
Evaluating the predictive power of multivariate tensor-based morphometry in Alzheimer's disease progression via convex fused sparse group Lasso. Medical Imaging: Image Processing 2014: 90342L - [c16]Thomas Phan, Jiayu Zhou, Shiyu Chang, Junling Hu, Juhan Lee:
Collaborative Recommendation of Photo-Taking Geolocations. GeoMM 2014: 11-16 - [c15]Jie Wang, Jiayu Zhou, Jun Liu, Peter Wonka, Jieping Ye:
A Safe Screening Rule for Sparse Logistic Regression. NIPS 2014: 1053-1061 - [c14]Yashu Liu, Zhi Nie, Jiayu Zhou, Michael Farnum, Vaibhav A. Narayan, Gayle M. Wittenberg, Jieping Ye:
Sparse Generalized Functional Linear Model for Predicting Remission Status of Depression Patients. Pacific Symposium on Biocomputing 2014: 364-375 - [p1]Jianhui Chen, Jiayu Zhou, Jieping Ye:
Low-Rank and Sparse Multi-task Learning. Low-Rank and Sparse Modeling for Visual Analysis 2014: 151-180 - 2013
- [j2]Jiayu Zhou, Jun Liu, Vaibhav A. Narayan, Jieping Ye:
Modeling disease progression via multi-task learning. NeuroImage 78: 233-248 (2013) - [c13]Shayok Chakraborty, Jiayu Zhou, Vineeth Nallure Balasubramanian, Sethuraman Panchanathan, Ian Davidson, Jieping Ye:
Active Matrix Completion. ICDM 2013: 81-90 - [c12]Jiayu Zhou, Zhaosong Lu, Jimeng Sun, Lei Yuan, Fei Wang, Jieping Ye:
FeaFiner: biomarker identification from medical data through feature generalization and selection. KDD 2013: 1034-1042 - [c11]Jie Wang, Jiayu Zhou, Peter Wonka, Jieping Ye:
Lasso Screening Rules via Dual Polytope Projection. NIPS 2013: 1070-1078 - [c10]Jianying Hu, Yashu Liu, Jimeng Sun, Jieping Ye, Jiayu Zhou:
Patient Risk Prediction Model via Top-k Stability Selection. SDM 2013: 55-63 - [i2]Jie Wang, Jiayu Zhou, Jun Liu, Peter Wonka, Jieping Ye:
A Safe Screening Rule for Sparse Logistic Regression. CoRR abs/1307.4145 (2013) - 2012
- [c9]Jiayu Zhou, Jun Liu, Vaibhav A. Narayan, Jieping Ye:
Modeling disease progression via fused sparse group lasso. KDD 2012: 1095-1103 - 2011
- [c8]Chitta Baral, Juraj Dzifcak, Marcos Alvarez Gonzalez, Jiayu Zhou:
Using Inverse lambda and Generalization to Translate English to Formal Languages. IWCS 2011 - [c7]Jianhui Chen, Jiayu Zhou, Jieping Ye:
Integrating low-rank and group-sparse structures for robust multi-task learning. KDD 2011: 42-50 - [c6]Jiayu Zhou, Lei Yuan, Jun Liu, Jieping Ye:
A multi-task learning formulation for predicting disease progression. KDD 2011: 814-822 - [c5]Jiayu Zhou, Jianhui Chen, Jieping Ye:
Clustered Multi-Task Learning Via Alternating Structure Optimization. NIPS 2011: 702-710 - [i1]Chitta Baral, Juraj Dzifcak, Marcos Alvarez Gonzalez, Jiayu Zhou:
Using Inverse lambda and Generalization to Translate English to Formal Languages. CoRR abs/1108.3843 (2011) - 2010
- [j1]Jiayu Zhou, Shi Wang, Cungen Cao:
Learning Hierarchical Lexical Hyponymy. Int. J. Cogn. Informatics Nat. Intell. 4(1): 98-114 (2010)
2000 – 2009
- 2009
- [c4]Jiayu Zhou, Lifeng Jin, Sherwin Han:
Unified hierarchical iterate model of human conceptualization and cognition. IEEE ICCI 2009: 44-51 - 2008
- [c3]Jiayu Zhou, Youfang Lin, Shi Wang, Cungen Cao:
Discover hierarchical lexical hyponymy relation from large-scale concept set. IEEE ICCI 2008: 205-214 - [c2]Jiayu Zhou, Youfang Lin, Xi Wang:
Visualization of Large-Scale Weighted Clustered Graph: A Genetic Approach. AAAI 2008: 1838-1839 - 2007
- [c1]Jiayu Zhou, Shi Wang, Cungen Cao:
A Google-Based Statistical Acquisition Model of Chinese Lexical Concepts. KSEM 2007: 243-254
Coauthor Index
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