Cong Shen

ORCID

Publication Activity (10 Years)

Years Active: 2003-2024
Publications (10 Years): 178

Top Venues

Publications

Zihan Chen, Jundong Li, Cong Shen
Personalized Federated Learning with Attention-Based Client Selection. ICASSP (2024)
Wei Shen, Minhui Huang, Jiawei Zhang, Cong Shen
Stochastic Smoothed Gradient Descent Ascent for Federated Minimax Optimization. AISTATS (2024)
Zihan Chen, Song Wang, Cong Shen, Jundong Li
FastGAS: Fast Graph-based Annotation Selection for In-Context Learning. CoRR (2024)
Renpu Liu, Cong Shen, Jing Yang
Federated Representation Learning in the Under-Parameterized Regime. CoRR (2024)
Zihan Chen, Song Wang, Cong Shen, Jundong Li
FastGAS: Fast Graph-based Annotation Selection for In-Context Learning. ACL (Findings) (2024)
Pascal Buri, Simone Fatichi, Thomas E. Shaw, Catriona L. Fyffe, Evan Miles, Michael J. McCarthy, Marin Kneib, Shaoting Ren, Achille Pierre Jouberton, Stefan Fugger, Li Jia, Jing Zhang, Cong Shen, Chaolei Zheng, Massimo Menenti, Francesca Pellicciotti
Land surface modeling informed by earth observation data: toward understanding blue-green-white water fluxes in High Mountain Asia. Geo spatial Inf. Sci. 27 (3) (2024)
Song Wang, Yushun Dong, Binchi Zhang, Zihan Chen, Xingbo Fu, Yinhan He, Cong Shen, Chuxu Zhang, Nitesh V. Chawla, Jundong Li
Safety in Graph Machine Learning: Threats and Safeguards. CoRR (2024)
Zhaohai Liang, Jiayi Wu, Siyi Chai, Yingkai Wang, Chengdong Li, Cong Shen, Jingmin Xin
MTA-Net: A Multi-task Assisted Network for Whole-Body Lymphoma Segmentation. AIAI (1) (2024)
Zeyu Mu, Guancheng Tu, Austin Shi, Kun Yang, Yixin Sun, Cong Shen, B. Brian Park
A Prototype Preceding Vehicle Identification System Development and Field Evaluation. VEHITS (2024)
Xianghua Kong, Cong Shen, Jijun Tang
CUK-Band: A CUDA-Based Multiple Genomic Sequence Alignment on GPU. ICIC (LNBI 2) (2024)
Li Zhang, Weiyue Xu, Cong Shen, Yingping Huang
Vision-Based On-Road Nighttime Vehicle Detection and Tracking Using Improved HOG Features. Sensors 24 (5) (2024)
Tian Yang, Cong Shen, Tiantian Yuan
CoSLR: Contrastive Chinese Sign Language Recognition with prior knowledge And Multi-Tasks Joint Learning. ICASSP (2024)
Cong Shen, Dongdong Mao, Jijun Tang, Zhijun Liao, Shengyong Chen
Prediction of LncRNA-Protein Interactions Based on Kernel Combinations and Graph Convolutional Networks. IEEE J. Biomed. Health Informatics 28 (4) (2024)
Siyu Peng, Jiawei Luo, Cong Shen, Bo Wang
Diagnosis of Lung Cancer Subtypes by Combining Multi-graph Embedding and Graph Fusion Network. ICIC (5) (2023)
Dongdong Mao, Cong Shen, Ruilin Wu, Yuyang Han, Yankai Wu, Jinxuan Wang, Jijun Tang, Zhijun Liao
Prediction of LncRNA-Protein Interactions Based on Multi-kernel Fusion and Graph Auto-Encoders. ICIC (3) (2023)
Nuocheng Yang, Sihua Wang, Mingzhe Chen, Cong Shen, Changchuan Yin, Christopher G. Brinton
MIMO Beamforming and Signal Modulation Design for Federated Learning Optimization. GLOBECOM (2023)
Jieming Bian, Cong Shen, Jie Xu
Federated Learning via Indirect Server-Client Communications. CISS (2023)
Tian Yang, Cong Shen, Xinyue Wang, Xiaoyu Ma, Chen Ling
A Survey: The Sensor-Based Method for Sign Language Recognition. PRCV (6) (2023)
Jieming Bian, Cong Shen, Jie Xu
Joint Client Assignment and UAV Route Planning for Indirect-Communication Federated Learning. CoRR (2023)
Cong Shen, Xinyue Wang, Jijun Tang, Zhijun Liao
DETA-Net: A Dual Encoder Network with Text-Guided Attention Mechanism for Skin-Lesions Segmentation. ICIC (3) (2023)
Yujia Mu, Cong Shen
Communication and Storage Efficient Federated Split Learning. CoRR (2023)
Wei Shen, Minhui Huang, Jiawei Zhang, Cong Shen
Stochastic Smoothed Gradient Descent Ascent for Federated Minimax Optimization. CoRR (2023)
Cong Shen, Wei Zhang
Privacy Enhanced Federated Learning via Privacy Masks and Additive Homomorphic Encryption. NaNA (2023)
Zihan Chen, Jundong Li, Cong Shen
Personalized Federated Learning with Attention-based Client Selection. CoRR (2023)
Sihua Wang, Mingzhe Chen, Cong Shen, Changchuan Yin, Christopher G. Brinton
Cross-Layer Federated Learning Optimization in MIMO Networks. CoRR (2023)
Jieming Bian, Cong Shen, Jie Xu
Federated Learning via Indirect Server-Client Communications. CoRR (2023)
Dandan Zhang, Hongyu Wang, Jiahui Deng, Tonghui Wang, Cong Shen, Jun Feng
CAMS-Net: An attention-guided feature selection network for rib segmentation in chest X-rays. Comput. Biol. Medicine 156 (2023)
Jieming Bian, Lei Wang, Kun Yang, Cong Shen, Jie Xu
Accelerating Hybrid Federated Learning Convergence under Partial Participation. CoRR (2023)
Wanwan Zhao, Jialing Guo, Ningli Dong, Huanhuan Hei, Xiaoyi Duan, Cong Shen
Diagnostic value of 3D volume measurement of central pulmonary artery based on CTPA images in the pulmonary hypertension. BMC Medical Imaging 23 (1) (2023)
Cong Shen, Li Jia, Shaoting Ren
Inter- and Intra-Annual Glacier Elevation Change in High Mountain Asia Region Based on ICESat-1&2 Data Using Elevation-Aspect Bin Analysis Method. Remote. Sens. 14 (7) (2022)
Xizixiang Wei, Cong Shen, Jing Yang, H. Vincent Poor
Random Orthogonalization for Federated Learning in Massive MIMO Systems. CoRR (2022)
Sanjay Purushotham, Jun Huan, Cong Shen, Dongjin Song, Yuyang Wang, Jan Gasthaus, Hilaf Hasson, Youngsuk Park, Sungyong Seo, Yuriy Nevmyvaka
8th SIGKDD International Workshop on Mining and Learning from Time Series - Deep Forecasting: Models, Interpretability, and Applications. KDD (2022)
Cong Shen, Jing Yang, Jie Xu
On Federated Learning with Energy Harvesting Clients. CoRR (2022)
Yujia Mu, Cong Shen, Yonina C. Eldar
Optimizing Federated Averaging over Fading Channels. ISIT (2022)
Kun Yang, Cong Shen
On the Convergence of Hybrid Federated Learning with Server-Clients Collaborative Training. CISS (2022)
Xizixiang Wei, Yi Jiang, Xin Wang, Cong Shen
Tx-Rx Reciprocity Calibration for Hybrid Massive MIMO Systems. IEEE Wirel. Commun. Lett. 11 (2) (2022)
Zhihui Shao, Jianyi Yang, Cong Shen, Shaolei Ren
Learning for Robust Combinatorial Optimization: Algorithm and Application. INFOCOM (2022)
Cong Shen, Yu Chen, Feng Xiao, Tian Yang, Xinyue Wang, Shengyong Chen, Jijun Tang, Zhijun Liao
BAT-Net: An enhanced RNA Secondary Structure prediction via bidirectional GRU-based network with attention mechanism. Comput. Biol. Chem. 101 (2022)
Cong Shen, Haitao Cao
On large set plus of disjoint incomplete Latin squares. Discret. Math. 345 (9) (2022)
Chengshuai Shi, Cong Shen
An Attackability Perspective on No-Sensing Adversarial Multi-player Multi-armed Bandits. ISIT (2021)
Feng Xiao, Cong Shen, Yu Chen, Tian Yang, Shengyong Chen, Zhijun Liao, Jijun Tang
RCGA-Net: An Improved Multi-hybrid Attention Mechanism Network in Biomedical Image Segmentation. BIBM (2021)
Zhihui Shao, Jianyi Yang, Cong Shen, Shaolei Ren
Learning for Robust Combinatorial Optimization: Algorithm and Application. CoRR (2021)
Chengshuai Shi, Wei Xiong, Cong Shen, Jing Yang
Heterogeneous Multi-player Multi-armed Bandits: Closing the Gap and Generalization. CoRR (2021)
Feng Xiao, Cong Shen, Tiantian Yuan, Shengyong Chen
CRB-Net: A Sign Language Recognition Deep Learning Strategy Based on Multi-modal Fusion with Attention Mechanism. SMC (2021)
Yujia Mu, Yuanlong Tan, Malathi Veeraraghavan, Cong Shen
A Machine Learning Approach for Rate Prediction in Multicast File-stream Distribution Networks. GLOBECOM (2021)
Ruiquan Huang, Weiqiang Wu, Jing Yang, Cong Shen
Federated Linear Contextual Bandits. CoRR (2021)
Chengshuai Shi, Cong Shen
Federated Multi-Armed Bandits. CoRR (2021)
Chengshuai Shi, Haifeng Xu, Wei Xiong, Cong Shen
(Almost) Free Incentivized Exploration from Decentralized Learning Agents. CoRR (2021)
Chengshuai Shi, Cong Shen
Multi-Player Multi-Armed Bandits With Collision-Dependent Reward Distributions. IEEE Trans. Signal Process. 69 (2021)
Chengshuai Shi, Cong Shen, Jing Yang
Federated Multi-armed Bandits with Personalization. CoRR (2021)
Cong Shen, Jie Xu, Sihui Zheng, Xiang Chen
Resource Rationing for Wireless Federated Learning: Concept, Benefits, and Challenges. CoRR (2021)
Hyun-Suk Lee, Cong Shen, William R. Zame, Jang-Won Lee, Mihaela van der Schaar
SDF-Bayes: Cautious Optimism in Safe Dose-Finding Clinical Trials with Drug Combinations and Heterogeneous Patient Groups. CoRR (2021)
Zhiming Chen, Tingxiang Fan, Xuan Zhao, Jing Liang, Cong Shen, Hua Chen, Dinesh Manocha, Jia Pan, Wei Zhang
Autonomous Social Distancing in Urban Environments Using a Quadruped Robot. IEEE Access 9 (2021)
Chengshuai Shi, Cong Shen
Multi-player Multi-armed Bandits with Collision-Dependent Reward Distributions. CoRR (2021)
Cong Shen, Jiawei Luo, Wenjue Ouyang, Pingjian Ding, Xiangtao Chen
IDDkin: network-based influence deep diffusion model for enhancing prediction of kinase inhibitors. Bioinform. 36 (22-23) (2021)
Jiawei Luo, Zihan Lai, Cong Shen, Pei Liu, Heyuan Shi
Graph Attention Mechanism-based Deep Tensor Factorization for Predicting disease-associated miRNA-miRNA pairs. BIBM (2021)
Shengbo Chen, Cong Shen, Lanxue Zhang, Yuanmin Tang
Dynamic Aggregation for Heterogeneous Quantization in Federated Learning. IEEE Trans. Wirel. Commun. 20 (10) (2021)
Xizixiang Wei, Cong Shen
Federated Learning over Noisy Channels. ICC (2021)
Hua Chen, Bingheng Wang, Zejun Hong, Cong Shen, Patrick M. Wensing, Wei Zhang
Underactuated Motion Planning and Control for Jumping With Wheeled-Bipedal Robots. IEEE Robotics Autom. Lett. 6 (2) (2021)
Chengshuai Shi, Cong Shen
Federated Multi-Armed Bandits. AAAI (2021)
Xinru Tang, Jiawei Luo, Cong Shen, Zihan Lai
Multi-view Multichannel Attention Graph Convolutional Network for miRNA-disease association prediction. Briefings Bioinform. 22 (6) (2021)
Lixing Chen, Cong Shen, Pan Zhou, Jie Xu
Collaborative Service Placement for Edge Computing in Dense Small Cell Networks. IEEE Trans. Mob. Comput. 20 (2) (2021)
Jiawei Luo, Cong Shen, Zihan Lai, Jie Cai, Pingjian Ding
Incorporating Clinical, Chemical and Biological Information for Predicting Small Molecule-microRNA Associations Based on Non-Negative Matrix Factorization. IEEE ACM Trans. Comput. Biol. Bioinform. 18 (6) (2021)
Chengshuai Shi, Cong Shen, Jing Yang
Federated Multi-armed Bandits with Personalization. AISTATS (2021)
Hyun-Suk Lee, Cong Shen, William R. Zame, Jang-Won Lee, Mihaela van der Schaar
SDF-Bayes: Cautious Optimism in Safe Dose-Finding Clinical Trials with Drug Combinations and Heterogeneous Patient Groups. AISTATS (2021)
Cong Shen, Jie Xu, Sihui Zheng, Xiang Chen
Resource Rationing for Wireless Federated Learning: Concept, Benefits, and Challenges. IEEE Commun. Mag. 59 (5) (2021)
Cong Shen, Pengkai Zhao, Xiliang Luo
On Energy Efficient Uplink Multi-User MIMO with Shared LNA Control. ICC (2021)
Sihui Zheng, Cong Shen, Xiang Chen
Design and Analysis of Uplink and Downlink Communications for Federated Learning. IEEE J. Sel. Areas Commun. 39 (7) (2021)
Chengshuai Shi, Cong Shen
On No-Sensing Adversarial Multi-Player Multi-Armed Bandits With Collision Communications. IEEE J. Sel. Areas Inf. Theory 2 (2) (2021)
Xizixiang Wei, Cong Shen
Federated Learning over Noisy Channels: Convergence Analysis and Design Examples. CoRR (2021)
Sihui Zheng, Cong Shen, Xiang Chen
Design and Analysis of Uplink and Downlink Communications for Federated Learning. ICC (2021)
Shengbo Chen, Lanxue Zhang, Cong Shen, Keping Yu, San Hlaing Myint, Zheng Wen
On Scheduling Policies With Heavy-Tailed Dynamics in Wireless Queueing Systems. IEEE Access 8 (2020)
Fei Liang, Cong Shen, Wei Yu, Feng Wu
Towards Optimal Power Control via Ensembling Deep Neural Networks. IEEE Trans. Commun. 68 (3) (2020)
Xianzhe Xu, Meixia Tao, Cong Shen
Collaborative Multi-Agent Multi-Armed Bandit Learning for Small-Cell Caching. IEEE Trans. Wirel. Commun. 19 (4) (2020)
Xianzhe Xu, Meixia Tao, Cong Shen
Collaborative Multi-Agent Multi-Armed Bandit Learning for Small-Cell Caching. CoRR (2020)
Chao Gan, Ruida Zhou, Jing Yang, Cong Shen
Cost-Aware Cascading Bandits. IEEE Trans. Signal Process. 68 (2020)
Cong Shen, Donghao Li, Jing Yang
MIMO Receive Antenna Selection via Deep Learning and Greedy Adaptation. ACSSC (2020)
Hua Chen, Bingheng Wang, Zejun Hong, Cong Shen, Patrick M. Wensing, Wei Zhang
Underactuated Motion Planning and Control for Jumping with Wheeled-Bipedal Robots. CoRR (2020)
Hyun-Suk Lee, Cong Shen, James Jordon, Mihaela van der Schaar
Contextual Constrained Learning for Dose-Finding Clinical Trials. CoRR (2020)
Hyun-Suk Lee, Yao Zhang, William R. Zame, Cong Shen, Jang-Won Lee, Mihaela van der Schaar
Robust Recursive Partitioning for Heterogeneous Treatment Effects with Uncertainty Quantification. NeurIPS (2020)
Sihui Zheng, Cong Shen, Xiang Chen
Design and Analysis of Uplink and Downlink Communications for Federated Learning. CoRR (2020)
Wei Wang, Jiawei Luo, Cong Shen, Nguyen Hoang Tu
A Graph Convolutional Matrix Completion Method for miRNA-Disease Association Prediction. ICIC (2) (2020)
Weiqiang Wu, Jing Yang, Cong Shen
Stochastic Linear Contextual Bandits with Diverse Contexts. AISTATS (2020)
Pingjian Ding, Cong Shen, Zihan Lai, Cheng Liang, Guanghui Li, Jiawei Luo
Incorporating Multisource Knowledge To Predict Drug Synergy Based on Graph Co-regularization. J. Chem. Inf. Model. 60 (1) (2020)
Hyun-Suk Lee, Yao Zhang, William R. Zame, Cong Shen, Jang-Won Lee, Mihaela van der Schaar
Robust Recursive Partitioning for Heterogeneous Treatment Effects with Uncertainty Quantification. CoRR (2020)
Chengshuai Shi, Wei Xiong, Cong Shen, Jing Yang
Decentralized Multi-player Multi-armed Bandits with No Collision Information. CoRR (2020)
Cong Shen, Mingxia Wei
An Evolutionary Game Model for Online Food Safety Governance Under Two Different Circumstances. IEEE Access 8 (2020)
Tingxiang Fan, Zhiming Chen, Xuan Zhao, Jing Liang, Cong Shen, Dinesh Manocha, Jia Pan, Wei Zhang
Autonomous Social Distancing in Urban Environments using a Quadruped Robot. CoRR (2020)
Wenjing Chen, Ruida Zhou, Chao Tian, Cong Shen
On Top-k Selection from m-wise Partial Rankings via Borda Counting. ISIT (2020)
Cong Shen, Zhiyang Wang, Sofia S. Villar, Mihaela van der Schaar
Learning for Dose Allocation in Adaptive Clinical Trials with Safety Constraints. ICML (2020)
Chengshuai Shi, Cong Shen
On No-Sensing Adversarial Multi-player Multi-armed Bandits with Collision Communications. CoRR (2020)
Chao Gan, Ruida Zhou, Jing Yang, Cong Shen
Cost-Aware Learning and Optimization for Opportunistic Spectrum Access. ITA (2020)
Chengshuai Shi, Wei Xiong, Cong Shen, Jing Yang
Decentralized Multi-player Multi-armed Bandits with No Collision Information. AISTATS (2020)
Hyun-Suk Lee, Cong Shen, James Jordon, Mihaela van der Schaar
Contextual Constrained Learning for Dose-Finding Clinical Trials. AISTATS (2020)
Cong Shen, Shengbo Chen
Federated Learning with Heterogeneous Quantization. SEC (2020)
Cong Shen, Jiawei Luo, Zihan Lai, Pingjian Ding
Multiview Joint Learning-Based Method for Identifying Small-Molecule-Associated MiRNAs by Integrating Pharmacological, Genomics, and Network Knowledge. J. Chem. Inf. Model. 60 (8) (2020)
Kun Yang, Cong Shen, Tie Liu
Deep Reinforcement Learning based Wireless Network Optimization: A Comparative Study. INFOCOM Workshops (2020)
Weiqiang Wu, Jing Yang, Cong Shen
Stochastic Linear Contextual Bandits with Diverse Contexts. CoRR (2020)
Cong Shen, Zhiyang Wang, Sofia S. Villar, Mihaela van der Schaar
Learning for Dose Allocation in Adaptive Clinical Trials with Safety Constraints. CoRR (2020)
Saichao Liu, Shengbo Chen, Cong Shen, Mohamed A. Ismail, Roshan Kumar
Improved Low-Resolution Quantized SIMO Estimation via Deep Learning. IEEE Wirel. Commun. Lett. 9 (8) (2020)

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Publication Activity (10 Years)

Top Topics

Top Venues

Cong Shen