Nonsmooth optimization for optimal power flow over transmission networks. - Ye Shi 001; Hoang Duong Tuan; Steven W. Su; Ho Huu Minh Tam (GlobalSIP, 2015)

Multiple Matrix Rank Constrained Optimization for Optimal Power Flow over Large Scale Transmission Networks. - Ye Shi 001; Hoang Duong Tuan; Steven W. Su; Andrey V. Savkin (SMARTGREENS, 2016)

Three-phase Optimal Power Flow for Smart Grids by Iterative Nonsmooth Optimization. - Ye Shi 001; Hoang Duong Tuan; Andrey V. Savkin (SMARTGREENS, 2017)

Global optimization for optimal power flow over transmission networks. - Ye Shi 001; Hoang Duong Tuan; Hoang Tuy; Steven W. Su (J. Glob. Optim., 2017)

Global Optimal Power Flow over Large-Scale Power Transmission Network. - Ye Shi 001; Hoang Duong Tuan; Pierre Apkarian; Andrey V. Savkin (CoRR, 2018)

Bang-Bang Charging of Electrical Vehicles by Smart Grid Technology. - Ye Shi 001; Hoang Duong Tuan; Trung Quang Duong; H. Vincent Poor; Andrey V. Savkin (CoRR, 2018)

Parameterized Bilinear Matrix Inequality Techniques in H∞ Fuzzy PID Control Design. - Ye Shi 001; Hoang Duong Tuan (CoRR, 2018)

PMU Placement Optimization for Smart Grid Obvervability and State Estimation. - Ye Shi 001; Hoang Duong Tuan; Ali A. Nasir; Trung Quang Duong; H. Vincent Poor (CoRR, 2018)

Global optimal power flow over large-scale power transmission networks. - Ye Shi 001; Hoang Duong Tuan; Pierre Apkarian; Andrey V. Savkin (Syst. Control. Lett., 2018)

Nonconvex and nonsmooth optimization for robust control and power systems - Ye Shi 001 (2018)

Mixed Integer Nonlinear Programming for Joint Coordination of Plug-in Electrical Vehicles Charging and Smart Grid Operations. - Ye Shi 001; Hoang Duong Tuan; Andrey V. Savkin (SmartGridComm, 2019)

Model Predictive Control for Smart Grids With Multiple Electric-Vehicle Charging Stations. - Ye Shi 001; Hoang Duong Tuan; Andrey V. Savkin; Trung Quang Duong; H. Vincent Poor (IEEE Trans. Smart Grid, 2019)

PMU Placement Optimization for Efficient State Estimation in Smart Grid. - Ye Shi 001; Hoang Duong Tuan; Trung Q. Duong; H. Vincent Poor; Andrey V. Savkin (IEEE J. Sel. Areas Commun., 2020)

Fuzzy Logic Control for Multi-Robot Navigation and Arrival-Time Control in a Cluttered Environment. - Yu-Cheng Chang; Ye Shi 001; Anna Dostovalova; Chin-Teng Lin; Jijoong Kim; Daniel Gibbons (ICMLC, 2021)

Consensus Learning for Distributed Fuzzy Neural Network in Big Data Environment. - Ye Shi 001; Chin-Teng Lin; Yu-Cheng Chang; Weiping Ding 001; Yuhui Shi 001; Xin Yao 001 (IEEE Trans. Emerg. Top. Comput. Intell., 2021)

Interpretable Fuzzy Logic Control for Multirobot Coordination in a Cluttered Environment. - Yu-Cheng Chang; Ye Shi 001; Anna Dostovalova; Zehong Cao; Jijoong Kim; Daniel Gibbons; Chin-Teng Lin (IEEE Trans. Fuzzy Syst., 2021)

Hierarchical Fuzzy Neural Networks With Privacy Preservation for Heterogeneous Big Data. - Leijie Zhang; Ye Shi 001; Yu-Cheng Chang; Chin-Teng Lin (IEEE Trans. Fuzzy Syst., 2021)

Federated Reinforcement Learning for Real-Time Electric Vehicle Charging and Discharging Control. - Zixuan Zhang; Yuning Jiang 002; Yuanming Shi; Ye Shi 001; Wei Chen 002 (GLOBECOM (Workshops), 2022)

Distributionally Robust Optimization for Vehicle-to-grid with Uncertain Renewable Energy. - Qi Li; Pengchao Tian; Ye Shi 001; Yuanming Shi; Hoang Duong Tuan (ICCAIS, 2022)

Mutual Adaptive Reasoning for Monocular 3D Multi-Person Pose Estimation. - Juze Zhang; Jingya Wang; Ye Shi 001; Fei Gao 010; Lan Xu; Jingyi Yu (ACM Multimedia, 2022)

Unified Optimal Transport Framework for Universal Domain Adaptation. - Wanxing Chang; Ye Shi 001; Hoang Tuan; Jingya Wang (NeurIPS, 2022)

Distributed Semi-supervised Fuzzy Regression with Interpolation Consistency Regularization. - Ye Shi 001; Leijie Zhang; Zehong Cao; Muhammad Tanveer 001; Chin-Teng Lin (CoRR, 2022)

Unified Optimal Transport Framework for Universal Domain Adaptation. - Wanxing Chang; Ye Shi 001; Hoang Duong Tuan; Jingya Wang (CoRR, 2022)

Spatial-temporal attention-based convolutional network with text and numerical information for stock price prediction. - Chin-Teng Lin; Yu-Kai Wang; Pei-Lun Huang; Ye Shi 001; Yu-Cheng Chang (Neural Comput. Appl., 2022)

Distributed Semisupervised Fuzzy Regression With Interpolation Consistency Regularization. - Ye Shi 001; Leijie Zhang; Zehong Cao; Muhammad Tanveer 001; Chin-Teng Lin (IEEE Trans. Fuzzy Syst., 2022)

Lifelong Person Re-identification via Knowledge Refreshing and Consolidation. - Chunlin Yu; Ye Shi 001; Zimo Liu; Shenghua Gao; Jingya Wang (AAAI, 2023)

IKOL: Inverse Kinematics Optimization Layer for 3D Human Pose and Shape Estimation via Gauss-Newton Differentiation. - Juze Zhang; Ye Shi 001; Yuexin Ma; Lan Xu; Jingyi Yu; Jingya Wang (AAAI, 2023)

NeuralDome: A Neural Modeling Pipeline on Multi-View Human-Object Interactions. - Juze Zhang; Haimin Luo; Hongdi Yang; Xinru Xu; Qianyang Wu; Ye Shi 001; Jingyi Yu; Lan Xu; Jingya Wang (CVPR, 2023)

Knowledge-Aware Federated Active Learning with Non-IID Data. - Yu-Tong Cao; Ye Shi 001; Baosheng Yu; Jingya Wang; Dacheng Tao (ICCV, 2023)

Alternating Differentiation for Optimization Layers. - Haixiang Sun; Ye Shi 001; Jingya Wang; Hoang Duong Tuan; H. Vincent Poor; Dacheng Tao (ICLR, 2023)

StackFLOW: Monocular Human-Object Reconstruction by Stacked Normalizing Flow with Offset. - Chaofan Huo; Ye Shi 001; Yuexin Ma; Lan Xu; Jingyi Yu; Jingya Wang (IJCAI, 2023)

Fed-CO2: Cooperation of Online and Offline Models for Severe Data Heterogeneity in Federated Learning. - Zhongyi Cai; Ye Shi 001; Wei Huang 034; Jingya Wang (NeurIPS, 2023)

CSOT: Curriculum and Structure-Aware Optimal Transport for Learning with Noisy Labels. - Wanxing Chang; Ye Shi 001; Jingya Wang (NeurIPS, 2023)

Two Sides of The Same Coin: Bridging Deep Equilibrium Models and Neural ODEs via Homotopy Continuation. - Shutong Ding; Tianyu Cui; Jingya Wang; Ye Shi 001 (NeurIPS, 2023)

Reduced Policy Optimization for Continuous Control with Hard Constraints. - Shutong Ding; Jingya Wang; Yali Du 001; Ye Shi 001 (NeurIPS, 2023)

Contextually Affinitive Neighborhood Refinery for Deep Clustering. - Chunlin Yu; Ye Shi 001; Jingya Wang (NeurIPS, 2023)

Fed-CO2: Cooperation of Online and Offline Models for Severe Data Heterogeneity in Federated Learning. - Zhongyi Cai; Ye Shi 001; Wei Huang 034; Jingya Wang (CoRR, 2023)

Federated Fuzzy Neural Network With Evolutionary Rule Learning. - Leijie Zhang; Ye Shi 001; Yu-Cheng Chang; Chin-Teng Lin (IEEE Trans. Fuzzy Syst., 2023)

DreamFace: Progressive Generation of Animatable 3D Faces under Text Guidance. - Longwen Zhang; Qiwei Qiu; Hongyang Lin; Qixuan Zhang; Cheng Shi 001; Wei Yang 034; Ye Shi 001; Sibei Yang; Lan Xu; Jingyi Yu (ACM Trans. Graph., 2023)

Multi-Agent Deep Reinforcement Learning for Energy-Efficient UAV-Aided Hybrid NOMA Data Collection. - Zhaoyi Feng; Zhichao Sheng; Ye Shi 001; Ali A. Nasir; Yong Fang 003 (IEEE Commun. Lett., 2023)

Toward multi-target self-organizing pursuit in a partially observable Markov game. - Lijun Sun; Yu-Cheng Chang; Chao Lyu; Ye Shi 001; Yuhui Shi 001; Chin-Teng Lin (Inf. Sci., 2023)

HybridGait: A Benchmark for Spatial-Temporal Cloth-Changing Gait Recognition with Hybrid Explorations. - Yilan Dong; Chunlin Yu; Ruiyang Ha; Ye Shi 001; Yuexin Ma; Lan Xu; Yanwei Fu 001; Jingya Wang (AAAI, 2024)

Unsupervised Cross-Domain Image Retrieval via Prototypical Optimal Transport. - Bin Li; Ye Shi 001; Qian Yu; Jingya Wang (AAAI, 2024)

Global and Local Prompts Cooperation via Optimal Transport for Federated Learning. - Hongxia Li; Wei Huang 034; Jingya Wang; Ye Shi 001 (CVPR, 2024)

A Unified Diffusion Framework for Scene-aware Human Motion Estimation from Sparse Signals. - Jiangnan Tang; Jingya Wang; Kaiyang Ji; Lan Xu; Jingyi Yu; Ye Shi 001 (CVPR, 2024)

HOI-M3: Capture Multiple Humans and Objects Interaction within Contextual Environment. - Juze Zhang; Jingyan Zhang; Zining Song; Zhanhe Shi; Chengfeng Zhao; Ye Shi 001; Jingyi Yu; Lan Xu; Jingya Wang (CVPR, 2024)

Understanding Convergence and Generalization in Federated Learning through Feature Learning Theory. - Wei Huang 034; Ye Shi 001; Zhongyi Cai; Taiji Suzuki (ICLR, 2024)

Harmonizing Generalization and Personalization in Federated Prompt Learning. - Tianyu Cui; Hongxia Li; Jingya Wang; Ye Shi 001 (ICML, 2024)

Guidance with Spherical Gaussian Constraint for Conditional Diffusion. - Lingxiao Yang; Shutong Ding; Yifan Cai; Jingyi Yu; Jingya Wang; Ye Shi 001 (ICML, 2024)

Monocular Human-Object Reconstruction in the Wild. - Chaofan Huo; Ye Shi 001; Jingya Wang (ACM Multimedia, 2024)

Diffusion-based Reinforcement Learning via Q-weighted Variational Policy Optimization. - Shutong Ding; Ke Hu; Zhenhao Zhang; Kan Ren; Weinan Zhang 001; Jingyi Yu; Jingya Wang; Ye Shi 001 (NeurIPS, 2024)

Federated Learning from Vision-Language Foundation Models: Theoretical Analysis and Method. - Bikang Pan; Wei Huang 034; Ye Shi 001 (NeurIPS, 2024)

Understanding Representation of Deep Equilibrium Models from Neural Collapse Perspective. - Haixiang Sun; Ye Shi 001 (NeurIPS, 2024)

Two-Stage Optimization for Efficient V2G Coordination in Distribution Power System. - Pengchao Tian; Siqi Yan; Bikang Pan; Ye Shi 001 (SmartGridComm, 2024)

THOR: Text to Human-Object Interaction Diffusion via Relation Intervention. - Qianyang Wu; Ye Shi 001; Xiaoshui Huang; Jingyi Yu; Lan Xu; Jingya Wang (CoRR, 2024)

Gaze-guided Hand-Object Interaction Synthesis: Benchmark and Method. - Jie Tian; Lingxiao Yang; Ran Ji; Yuexin Ma; Lan Xu; Jingyi Yu; Ye Shi 001; Jingya Wang (CoRR, 2024)

HOI-M3: Capture Multiple Humans and Objects Interaction within Contextual Environment. - Juze Zhang; Jingyan Zhang; Zining Song; Zhanhe Shi; Chengfeng Zhao; Ye Shi 001; Jingyi Yu; Lan Xu; Jingya Wang (CoRR, 2024)

Robust Fuzzy Neural Network With an Adaptive Inference Engine. - Leijie Zhang; Ye Shi 001; Yu-Cheng Chang; Chin-Teng Lin (IEEE Trans. Cybern., 2024)

Twin Fuzzy Networks With Interpolation Consistency Regularization for Weakly Supervised Anomaly Detection. - Zhi Cao 001; Ye Shi 001; Yu-Cheng Chang; Xin Yao 001; Chin-Teng Lin (IEEE Trans. Fuzzy Syst., 2024)

A Distributionally Robust Model Predictive Control for Static and Dynamic Uncertainties in Smart Grids. - Qi Li; Ye Shi 001; Yuning Jiang 002; Yuanming Shi; Haoyu Wang 007; H. Vincent Poor (IEEE Trans. Smart Grid, 2024)

FedTP: Federated Learning by Transformer Personalization. - Hongxia Li; Zhongyi Cai; Jingya Wang; Jiangnan Tang; Weiping Ding 001; Chin-Teng Lin; Ye Shi 001 (IEEE Trans. Neural Networks Learn. Syst., 2024)

NLPrompt: Noise-Label Prompt Learning for Vision-Language Models. - Bikang Pan; Qun Li; Xiaoying Tang 002; Wei Huang 034; Zhen Fang; Feng Liu; Jingya Wang; Jingyi Yu; Ye Shi 001 (CVPR, 2025)

AffordDP: Generalizable Diffusion Policy with Transferable Affordance. - Shijie Wu; Yihang Zhu; Yunao Huang; Kaizhen Zhu; Jiayuan Gu; Jingyi Yu; Ye Shi 001; Jingya Wang (CVPR, 2025)

SeqAfford: Sequential 3D Affordance Reasoning via Multimodal Large Language Model. - Chunlin Yu; Hanqing Wang 007; Ye Shi 001; Haoyang Luo; Sibei Yang; Jingyi Yu; Jingya Wang (CVPR, 2025)

UniDB: A Unified Diffusion Bridge Framework via Stochastic Optimal Control. - Kaizhen Zhu; Mokai Pan; Yuexin Ma; Yanwei Fu 001; Jingyi Yu; Jingya Wang; Ye Shi 001 (CoRR, 2025)

DiOpt: Self-supervised Diffusion for Constrained Optimization. - Shutong Ding; Yimiao Zhou; Ke Hu; Xi Yao; Junchi Yan; Xiaoying Tang 002; Ye Shi 001 (CoRR, 2025)

ARFlow: Human Action-Reaction Flow Matching with Physical Guidance. - Wentao Jiang; Jingya Wang; Haotao Lu; Kaiyang Ji; Baoxiong Jia; Siyuan Huang 001; Ye Shi 001 (CoRR, 2025)

Human-Object Interaction with Vision-Language Model Guided Relative Movement Dynamics. - Zekai Deng; Ye Shi 001; Kaiyang Ji; Lan Xu; Shaoli Huang; Jingya Wang (CoRR, 2025)

GenPO: Generative Diffusion Models Meet On-Policy Reinforcement Learning. - Shutong Ding; Ke Hu; Shan Zhong; Haoyang Luo; Weinan Zhang 001; Jingya Wang; Jun Wang; Ye Shi 001 (CoRR, 2025)

One Policy but Many Worlds: A Scalable Unified Policy for Versatile Humanoid Locomotion. - Yahao Fan; Tianxiang Gui; Kaiyang Ji; Shutong Ding; Chixuan Zhang; Jiayuan Gu; Jingyi Yu; Jingya Wang; Ye Shi 001 (CoRR, 2025)

OpenHOI: Open-World Hand-Object Interaction Synthesis with Multimodal Large Language Model. - Zhenhao Zhang; Ye Shi 001; Lingxiao Yang; Suting Ni; Qi Ye; Jingya Wang (CoRR, 2025)

UniDB++: Fast Sampling of Unified Diffusion Bridge. - Mokai Pan; Kaizhen Zhu; Yuexin Ma; Yanwei Fu 001; Jingyi Yu; Jingya Wang; Ye Shi 001 (CoRR, 2025)

Remaining Useful Lifetime Prediction of Lithium-Ion Batteries Based on Fragment Data and Trend Identification. - Yiqing Lu; Ye Shi 001; Yu Liu 073; Haoyu Wang 007 (IEEE Trans. Ind. Informatics, 2025)

Unlocking Personalized Knowledge in Federated Large Language Model: The Power of Mixture of Experts. - Fan Liu; Bikang Pan; Zhongyi Wang; Xi Yao; Xiaoying Tang 002; Jingya Wang; Ye Shi 001 (CoRR, 2025)

FreqPolicy: Frequency Autoregressive Visuomotor Policy with Continuous Tokens. - Yiming Zhong; Yumeng Liu; Chuyang Xiao; Zemin Yang; Youzhuo Wang; Yufei Zhu; Ye Shi 001; Yujing Sun 001; Xinge Zhu; Yuexin Ma (CoRR, 2025)

Towards Immersive Human-X Interaction: A Real-Time Framework for Physically Plausible Motion Synthesis. - Kaiyang Ji; Ye Shi 001; Zichen Jin; Kangyi Chen; Lan Xu; Yuexin Ma; Jingyi Yu; Jingya Wang (CoRR, 2025)