Ye Shi

Publication Activity (10 Years)

Years Active: 2015-2024
Publications (10 Years): 70

Top Topics

State Estimation

Optimal Power Flow

Fuzzy Logic Control

Top Venues

IEEE Trans. Fuzzy Syst.

Publications

Qi Li, Ye Shi, Yuning Jiang, Yuanming Shi, Haoyu Wang, H. Vincent Poor
A Distributionally Robust Model Predictive Control for Static and Dynamic Uncertainties in Smart Grids. CoRR (2024)
Lingxiao Yang, Shutong Ding, Yifan Cai, Jingyi Yu, Jingya Wang, Ye Shi
Guidance with Spherical Gaussian Constraint for Conditional Diffusion. CoRR (2024)
Shutong Ding, Ke Hu, Zhenhao Zhang, Kan Ren, Weinan Zhang, Jingyi Yu, Jingya Wang, Ye Shi
Diffusion-based Reinforcement Learning via Q-weighted Variational Policy Optimization. CoRR (2024)
Leijie Zhang, Ye Shi, Yu-Cheng Chang, Chin-Teng Lin
Robust Fuzzy Neural Network With an Adaptive Inference Engine. IEEE Trans. Cybern. 54 (5) (2024)
Bin Li, Ye Shi, Qian Yu, Jingya Wang
Unsupervised Cross-Domain Image Retrieval via Prototypical Optimal Transport. AAAI (2024)
Yilan Dong, Chunlin Yu, Ruiyang Ha, Ye Shi, Yuexin Ma, Lan Xu, Yanwei Fu, Jingya Wang
HybridGait: A Benchmark for Spatial-Temporal Cloth-Changing Gait Recognition with Hybrid Explorations. AAAI (2024)
Jiangnan Tang, Jingya Wang, Kaiyang Ji, Lan Xu, Jingyi Yu, Ye Shi
A Unified Diffusion Framework for Scene-aware Human Motion Estimation from Sparse Signals. CoRR (2024)
Yilan Dong, Chunlin Yu, Ruiyang Ha, Ye Shi, Yuexin Ma, Lan Xu, Yanwei Fu, Jingya Wang
HybridGait: A Benchmark for Spatial-Temporal Cloth-Changing Gait Recognition with Hybrid Explorations. CoRR (2024)
Qianyang Wu, Ye Shi, Xiaoshui Huang, Jingyi Yu, Lan Xu, Jingya Wang
THOR: Text to Human-Object Interaction Diffusion via Relation Intervention. CoRR (2024)
Wei Huang, Ye Shi, Zhongyi Cai, Taiji Suzuki
Understanding Convergence and Generalization in Federated Learning through Feature Learning Theory. ICLR (2024)
Juze Zhang, Jingyan Zhang, Zining Song, Zhanhe Shi, Chengfeng Zhao, Ye Shi, Jingyi Yu, Lan Xu, Jingya Wang
HOI-M3: Capture Multiple Humans and Objects Interaction within Contextual Environment. CoRR (2024)
Hongxia Li, Wei Huang, Jingya Wang, Ye Shi
Global and Local Prompts Cooperation via Optimal Transport for Federated Learning. CoRR (2024)
Chaofan Huo, Ye Shi, Jingya Wang
Monocular Human-Object Reconstruction in the Wild. CoRR (2024)
Tianyu Cui, Hongxia Li, Jingya Wang, Ye Shi
Harmonizing Generalization and Personalization in Federated Prompt Learning. CoRR (2024)
Bin Li, Ye Shi, Qian Yu, Jingya Wang
Unsupervised Cross-Domain Image Retrieval via Prototypical Optimal Transport. CoRR (2024)
Jie Tian, Lingxiao Yang, Ran Ji, Yuexin Ma, Lan Xu, Jingyi Yu, Ye Shi, Jingya Wang
Gaze-guided Hand-Object Interaction Synthesis: Benchmark and Method. CoRR (2024)
Haixiang Sun, Ye Shi, Jingya Wang, Hoang Duong Tuan, H. Vincent Poor, Dacheng Tao
Alternating Differentiation for Optimization Layers. ICLR (2023)
Longwen Zhang, Qiwei Qiu, Hongyang Lin, Qixuan Zhang, Cheng Shi, Wei Yang, Ye Shi, Sibei Yang, Lan Xu, Jingyi Yu
DreamFace: Progressive Generation of Animatable 3D Faces under Text Guidance. CoRR (2023)
Chunlin Yu, Ye Shi, Jingya Wang
Contextually Affinitive Neighborhood Refinery for Deep Clustering. CoRR (2023)
Wanxing Chang, Ye Shi, Jingya Wang
CSOT: Curriculum and Structure-Aware Optimal Transport for Learning with Noisy Labels. CoRR (2023)
Shutong Ding, Jingya Wang, Yali Du, Ye Shi
Reduced Policy Optimization for Continuous Control with Hard Constraints. CoRR (2023)
Chunlin Yu, Ye Shi, Zimo Liu, Shenghua Gao, Jingya Wang
Lifelong Person Re-identification via Knowledge Refreshing and Consolidation. AAAI (2023)
Shutong Ding, Jingya Wang, Yali Du, Ye Shi
Reduced Policy Optimization for Continuous Control with Hard Constraints. NeurIPS (2023)
Chaofan Huo, Ye Shi, Yuexin Ma, Lan Xu, Jingyi Yu, Jingya Wang
StackFLOW: Monocular Human-Object Reconstruction by Stacked Normalizing Flow with Offset. IJCAI (2023)
Juze Zhang, Ye Shi, Yuexin Ma, Lan Xu, Jingyi Yu, Jingya Wang
IKOL: Inverse kinematics optimization layer for 3D human pose and shape estimation via Gauss-Newton differentiation. CoRR (2023)
Lijun Sun, Yu-Cheng Chang, Chao Lyu, Ye Shi, Yuhui Shi, Chin-Teng Lin
Toward multi-target self-organizing pursuit in a partially observable Markov game. Inf. Sci. 648 (2023)
Chunlin Yu, Ye Shi, Jingya Wang
Contextually Affinitive Neighborhood Refinery for Deep Clustering. NeurIPS (2023)
Leijie Zhang, Ye Shi, Yu-Cheng Chang, Chin-Teng Lin
Federated Fuzzy Neural Network With Evolutionary Rule Learning. IEEE Trans. Fuzzy Syst. 31 (5) (2023)
Zhaoyi Feng, Zhichao Sheng, Ye Shi, Ali A. Nasir, Yong Fang
Multi-Agent Deep Reinforcement Learning for Energy-Efficient UAV-Aided Hybrid NOMA Data Collection. IEEE Commun. Lett. 27 (10) (2023)
Shutong Ding, Tianyu Cui, Jingya Wang, Ye Shi
Two Sides of The Same Coin: Bridging Deep Equilibrium Models and Neural ODEs via Homotopy Continuation. NeurIPS (2023)
Shutong Ding, Tianyu Cui, Jingya Wang, Ye Shi
Two Sides of The Same Coin: Bridging Deep Equilibrium Models and Neural ODEs via Homotopy Continuation. CoRR (2023)
Zhongyi Cai, Ye Shi, Wei Huang, Jingya Wang
: Cooperation of Online and Offline Models for Severe Data Heterogeneity in Federated Learning. NeurIPS (2023)
Yu-Tong Cao, Ye Shi, Baosheng Yu, Jingya Wang, Dacheng Tao
Knowledge-Aware Federated Active Learning with Non-IID Data. ICCV (2023)
Juze Zhang, Haimin Luo, Hongdi Yang, Xinru Xu, Qianyang Wu, Ye Shi, Jingyi Yu, Lan Xu, Jingya Wang
NeuralDome: A Neural Modeling Pipeline on Multi-View Human-Object Interactions. CVPR (2023)
Juze Zhang, Ye Shi, Yuexin Ma, Lan Xu, Jingyi Yu, Jingya Wang
IKOL: Inverse Kinematics Optimization Layer for 3D Human Pose and Shape Estimation via Gauss-Newton Differentiation. AAAI (2023)
Wanxing Chang, Ye Shi, Jingya Wang
CSOT: Curriculum and Structure-Aware Optimal Transport for Learning with Noisy Labels. NeurIPS (2023)
Zhongyi Cai, Ye Shi, Wei Huang, Jingya Wang
Fed-CO2: Cooperation of Online and Offline Models for Severe Data Heterogeneity in Federated Learning. CoRR (2023)
Longwen Zhang, Qiwei Qiu, Hongyang Lin, Qixuan Zhang, Cheng Shi, Wei Yang, Ye Shi, Sibei Yang, Lan Xu, Jingyi Yu
DreamFace: Progressive Generation of Animatable 3D Faces under Text Guidance. ACM Trans. Graph. 42 (4) (2023)
Juze Zhang, Jingya Wang, Ye Shi, Fei Gao, Lan Xu, Jingyi Yu
Mutual Adaptive Reasoning for Monocular 3D Multi-Person Pose Estimation. ACM Multimedia (2022)
Ye Shi, Leijie Zhang, Zehong Cao, M. Tanveer, Chin-Teng Lin
Distributed Semi-supervised Fuzzy Regression with Interpolation Consistency Regularization. CoRR (2022)
Juze Zhang, Haimin Luo, Hongdi Yang, Xinru Xu, Qianyang Wu, Ye Shi, Jingyi Yu, Lan Xu, Jingya Wang
NeuralDome: A Neural Modeling Pipeline on Multi-View Human-Object Interactions. CoRR (2022)
Ye Shi, Leijie Zhang, Zehong Cao, Muhammad Tanveer, Chin-Teng Lin
Distributed Semisupervised Fuzzy Regression With Interpolation Consistency Regularization. IEEE Trans. Fuzzy Syst. 30 (8) (2022)
Chunlin Yu, Ye Shi, Zimo Liu, Shenghua Gao, Jingya Wang
Lifelong Person Re-Identification via Knowledge Refreshing and Consolidation. CoRR (2022)
Hongxia Li, Zhongyi Cai, Jingya Wang, Jiangnan Tang, Weiping Ding, Chin-Teng Lin, Ye Shi
FedTP: Federated Learning by Transformer Personalization. CoRR (2022)
Leijie Zhang, Ye Shi, Yu-Cheng Chang, Chin-Teng Lin
Hierarchical fuzzy neural networks with privacy preservation for heterogeneous big data. CoRR (2022)
Yu-Tong Cao, Jingya Wang, Ye Shi, Baosheng Yu, Dacheng Tao
Knowledge-Aware Federated Active Learning with Non-IID Data. CoRR (2022)
Juze Zhang, Jingya Wang, Ye Shi, Fei Gao, Lan Xu, Jingyi Yu
Mutual Adaptive Reasoning for Monocular 3D Multi-Person Pose Estimation. CoRR (2022)
Wanxing Chang, Ye Shi, Hoang Duong Tuan, Jingya Wang
Unified Optimal Transport Framework for Universal Domain Adaptation. CoRR (2022)
Lijun Sun, Yu-Cheng Chang, Chao Lyu, Ye Shi, Yuhui Shi, Chin-Teng Lin
Toward multi-target self-organizing pursuit in a partially observable Markov game. CoRR (2022)
Leijie Zhang, Ye Shi, Yu-Cheng Chang, Chin-Teng Lin
Federated Fuzzy Neural Network with Evolutionary Rule Learning. CoRR (2022)
Haixiang Sun, Ye Shi, Jingya Wang, Hoang Duong Tuan, H. Vincent Poor, Dacheng Tao
Alternating Differentiation for Optimization Layers. CoRR (2022)
Chin-Teng Lin, Yu-Ka Wang, Pei-Lun Huang, Ye Shi, Yu-Cheng Chang
Spatial-temporal attention-based convolutional network with text and numerical information for stock price prediction. Neural Comput. Appl. 34 (17) (2022)
Ye Shi, Chin-Teng Lin, Yu-Cheng Chang, Weiping Ding, Yuhui Shi, Xin Yao
Consensus Learning for Distributed Fuzzy Neural Network in Big Data Environment. IEEE Trans. Emerg. Top. Comput. Intell. 5 (1) (2021)
Yu-Cheng Chang, Ye Shi, Anna Dostovalova, Chin-Teng Lin, Juoong Kim, Daniel Gibbons
Fuzzy Logic Control for Multi-Robot Navigation and Arrival-Time Control in a Cluttered Environment. ICMLC (2021)
Leijie Zhang, Ye Shi, Yu-Cheng Chang, Chin-Teng Lin
Hierarchical Fuzzy Neural Networks With Privacy Preservation for Heterogeneous Big Data. IEEE Trans. Fuzzy Syst. 29 (1) (2021)
Yu-Cheng Chang, Ye Shi, Anna Dostovalova, Zehong Cao, Jijoong Kim, Daniel Gibbons, Chin-Teng Lin
Interpretable Fuzzy Logic Control for Multirobot Coordination in a Cluttered Environment. IEEE Trans. Fuzzy Syst. 29 (12) (2021)
Ye Shi, Hoang Duong Tuan, Trung Q. Duong, H. Vincent Poor, Andrey V. Savkin
PMU Placement Optimization for Efficient State Estimation in Smart Grid. IEEE J. Sel. Areas Commun. 38 (1) (2020)
Ye Shi, Hoang Duong Tuan, Andrey V. Savkin, Trung Quang Duong, H. Vincent Poor
Model Predictive Control for Smart Grids With Multiple Electric-Vehicle Charging Stations. IEEE Trans. Smart Grid 10 (2) (2019)
Ye Shi, Hoang Duong Tuan, Andrey V. Savkin
Mixed Integer Nonlinear Programming for Joint Coordination of Plug-in Electrical Vehicles Charging and Smart Grid Operations. SmartGridComm (2019)
Ye Shi, Hoang Duong Tuan, Ali A. Nasir, Trung Quang Duong, H. Vincent Poor
PMU Placement Optimization for Smart Grid Obvervability and State Estimation. CoRR (2018)
Ye Shi, Hoang Duong Tuan, Pierre Apkarian, Andrey V. Savkin
Global Optimal Power Flow over Large-Scale Power Transmission Network. CoRR (2018)
Ye Shi, Hoang Duong Tuan, Andrey V. Savkin
Mixed integer nonlinear programming for Joint Coordination of Plug-in Electrical Vehicles Charging and Smart Grid Operations. CoRR (2018)
Ye Shi, Hoang Duong Tuan
Fuzzy PID Control Design. CoRR (2018)
Ye Shi, Hoang Duong Tuan, Pierre Apkarian, Andrey V. Savkin
Global optimal power flow over large-scale power transmission networks. Syst. Control. Lett. 118 (2018)
Ye Shi, Hoang Duong Tuan, Trung Quang Duong, H. Vincent Poor, Andrey V. Savkin
Bang-Bang Charging of Electrical Vehicles by Smart Grid Technology. CoRR (2018)
Ye Shi, Hoang Duong Tuan, Hoang Tuy, Steven W. Su
Global optimization for optimal power flow over transmission networks. J. Glob. Optim. 69 (3) (2017)
Ye Shi, Hoang Duong Tuan, Andrey V. Savkin, Trung Quang Duong, H. Vincent Poor
Model Predictive Control for Smart Grids with Multiple Electric-Vehicle Charging Stations. CoRR (2017)
Ye Shi, Hoang Duong Tuan, Andrey V. Savkin
Three-phase Optimal Power Flow for Smart Grids by Iterative Nonsmooth Optimization. SMARTGREENS (2017)
Ye Shi, Hoang Duong Tuan, Steven W. Su, Andrey V. Savkin
Multiple Matrix Rank Constrained Optimization for Optimal Power Flow over Large Scale Transmission Networks. SMARTGREENS (2016)
Ye Shi, Hoang Duong Tuan, Steven W. Su, Ho Huu Minh Tam
Nonsmooth optimization for optimal power flow over transmission networks. GlobalSIP (2015)