Ye Shi

120 papers A* 30A 1Misc 1Journal 80Unranked 7
YearRankTypeTitle / Venue / Authors
2026 J jnl
Distributional Reinforcement Learning with Diffusion Bridge Critics.
CoRR
Shutong Ding, Yimiao Zhou, Ke Hu, Mokai Pan, Shan Zhong, Yanwei Fu, Jingya Wang, Ye Shi
2026 A* conf
One-Step Generative Policies with Q-Learning: A Reformulation of MeanFlow.
AAAI
Zeyuan Wang, Da Li, Yulin Chen, Ye Shi, Liang Bai, Tianyuan Yu, Yanwei Fu
2025 J jnl
ARFlow: Human Action-Reaction Flow Matching with Physical Guidance.
CoRR
Wentao Jiang, Jingya Wang, Haotao Lu, Kaiyang Ji, Baoxiong Jia, Siyuan Huang, Ye Shi
2025 A* conf
AffordDP: Generalizable Diffusion Policy with Transferable Affordance.
CVPR
Shijie Wu, Yihang Zhu, Yunao Huang, Kaizhen Zhu, Jiayuan Gu, Jingyi Yu, Ye Shi, Jingya Wang
2025 J jnl
Commanding Humanoid by Free-form Language: A Large Language Action Model with Unified Motion Vocabulary.
CoRR
Zhirui Liu, Kaiyang Ji, Ke Yang, Jingyi Yu, Ye Shi, Jingya Wang
2025 J jnl
DiOpt: Self-supervised Diffusion for Constrained Optimization.
CoRR
Shutong Ding, Yimiao Zhou, Ke Hu, Xi Yao, Junchi Yan, Xiaoying Tang, Ye Shi
2025 J jnl
Diffusion Bridge or Flow Matching? A Unifying Framework and Comparative Analysis.
CoRR
Kaizhen Zhu, Mokai Pan, Zhechuan Yu, Jingya Wang, Jingyi Yu, Ye Shi
2025 J jnl
FreqPolicy: Frequency Autoregressive Visuomotor Policy with Continuous Tokens.
CoRR
Yiming Zhong, Yumeng Liu, Chuyang Xiao, Zemin Yang, Youzhuo Wang, Yufei Zhu, Ye Shi, Yujing Sun, Xinge Zhu, Yuexin Ma
2025 J jnl
GenPO: Generative Diffusion Models Meet On-Policy Reinforcement Learning.
CoRR
Shutong Ding, Ke Hu, Shan Zhong, Haoyang Luo, Weinan Zhang, Jingya Wang, Jun Wang, Ye Shi
2025 J jnl
Human-Object Interaction with Vision-Language Model Guided Relative Movement Dynamics.
CoRR
Zekai Deng, Ye Shi, Kaiyang Ji, Lan Xu, Shaoli Huang, Jingya Wang
2025 J jnl
Incremental 3D Near-Field SAR Imaging With Block-Sparse Recovery.
IEEE J. Sel. Top. Signal Process.
Zhichao Sheng, Yechao Peng, Wei Hong, Ye Shi, Dan Zeng
2025 J jnl
Learning Semantic Atomic Skills for Multi-Task Robotic Manipulation.
CoRR
Yihang Zhu, Weiqing Wang, Shijie Wu, Ye Shi, Jingya Wang
2025 A* conf
NLPrompt: Noise-Label Prompt Learning for Vision-Language Models.
CVPR
Bikang Pan, Qun Li, Xiaoying Tang, Wei Huang, Zhen Fang, Feng Liu, Jingya Wang, Jingyi Yu, Ye Shi
2025 J jnl
One Policy but Many Worlds: A Scalable Unified Policy for Versatile Humanoid Locomotion.
CoRR
Yahao Fan, Tianxiang Gui, Kaiyang Ji, Shutong Ding, Chixuan Zhang, Jiayuan Gu, Jingyi Yu, Jingya Wang, Ye Shi
2025 J jnl
One-Step Generative Policies with Q-Learning: A Reformulation of MeanFlow.
CoRR
Zeyuan Wang, Da Li, Yulin Chen, Ye Shi, Liang Bai, Tianyuan Yu, Yanwei Fu
2025 J jnl
OpenHOI: Open-World Hand-Object Interaction Synthesis with Multimodal Large Language Model.
CoRR
Zhenhao Zhang, Ye Shi, Lingxiao Yang, Suting Ni, Qi Ye, Jingya Wang
2025 J jnl
Remaining Useful Lifetime Prediction of Lithium-Ion Batteries Based on Fragment Data and Trend Identification.
IEEE Trans. Ind. Informatics
Yiqing Lu, Ye Shi, Yu Liu, Haoyu Wang
2025 J jnl
Sample from What You See: Visuomotor Policy Learning via Diffusion Bridge with Observation-Embedded Stochastic Differential Equation.
CoRR
Zhaoyang Liu, Mokai Pan, Zhongyi Wang, Kaizhen Zhu, Haotao Lu, Jingya Wang, Ye Shi
2025 A* conf
SeqAfford: Sequential 3D Affordance Reasoning via Multimodal Large Language Model.
CVPR
Chunlin Yu, Hanqing Wang, Ye Shi, Haoyang Luo, Sibei Yang, Jingyi Yu, Jingya Wang
2025 A conf
THOR: Text to Human-Object Interaction Diffusion via Relation Intervention.
ICME
Qianyang Wu, Ye Shi, Xiaoshui Huang, Lan Xu, Jingyi Yu, Jingya Wang
2025 J jnl
Towards Immersive Human-X Interaction: A Real-Time Framework for Physically Plausible Motion Synthesis.
CoRR
Kaiyang Ji, Ye Shi, Zichen Jin, Kangyi Chen, Lan Xu, Yuexin Ma, Jingyi Yu, Jingya Wang
2025 J jnl
UniDB++: Fast Sampling of Unified Diffusion Bridge.
CoRR
Mokai Pan, Kaizhen Zhu, Yuexin Ma, Yanwei Fu, Jingyi Yu, Jingya Wang, Ye Shi
2025 A* conf
UniDB: A Unified Diffusion Bridge Framework via Stochastic Optimal Control.
ICML
Kaizhen Zhu, Mokai Pan, Yuexin Ma, Yanwei Fu, Jingyi Yu, Jingya Wang, Ye Shi
2025 J jnl
UniDB: A Unified Diffusion Bridge Framework via Stochastic Optimal Control.
CoRR
Kaizhen Zhu, Mokai Pan, Yuexin Ma, Yanwei Fu, Jingyi Yu, Jingya Wang, Ye Shi
2025 J jnl
Unlocking Personalized Knowledge in Federated Large Language Model: The Power of Mixture of Experts.
CoRR
Fan Liu, Bikang Pan, Zhongyi Wang, Xi Yao, Xiaoying Tang, Jingya Wang, Ye Shi
2024 J jnl
A Distributionally Robust Model Predictive Control for Static and Dynamic Uncertainties in Smart Grids.
CoRR
Qi Li, Ye Shi, Yuning Jiang, Yuanming Shi, Haoyu Wang, H. Vincent Poor
2024 J jnl
A Distributionally Robust Model Predictive Control for Static and Dynamic Uncertainties in Smart Grids.
IEEE Trans. Smart Grid
Qi Li, Ye Shi, Yuning Jiang, Yuanming Shi, Haoyu Wang, H. Vincent Poor
2024 A* conf
A Unified Diffusion Framework for Scene-aware Human Motion Estimation from Sparse Signals.
CVPR
Jiangnan Tang, Jingya Wang, Kaiyang Ji, Lan Xu, Jingyi Yu, Ye Shi
2024 J jnl
A Unified Diffusion Framework for Scene-aware Human Motion Estimation from Sparse Signals.
CoRR
Jiangnan Tang, Jingya Wang, Kaiyang Ji, Lan Xu, Jingyi Yu, Ye Shi
2024 J jnl
AffordDP: Generalizable Diffusion Policy with Transferable Affordance.
CoRR
Shijie Wu, Yihang Zhu, Yunao Huang, Kaizhen Zhu, Jiayuan Gu, Jingyi Yu, Ye Shi, Jingya Wang
2024 A* conf
Diffusion-based Reinforcement Learning via Q-weighted Variational Policy Optimization.
NeurIPS
Shutong Ding, Ke Hu, Zhenhao Zhang, Kan Ren, Weinan Zhang, Jingyi Yu, Jingya Wang, Ye Shi
2024 J jnl
Diffusion-based Reinforcement Learning via Q-weighted Variational Policy Optimization.
CoRR
Shutong Ding, Ke Hu, Zhenhao Zhang, Kan Ren, Weinan Zhang, Jingyi Yu, Jingya Wang, Ye Shi
2024 J jnl
FedTP: Federated Learning by Transformer Personalization.
IEEE Trans. Neural Networks Learn. Syst.
Hongxia Li, Zhongyi Cai, Jingya Wang, Jiangnan Tang, Weiping Ding, Chin-Teng Lin, Ye Shi
2024 A* conf
Federated Learning from Vision-Language Foundation Models: Theoretical Analysis and Method.
NeurIPS
Bikang Pan, Wei Huang, Ye Shi
2024 J jnl
Federated Learning from Vision-Language Foundation Models: Theoretical Analysis and Method.
CoRR
Bikang Pan, Wei Huang, Ye Shi
2024 J jnl
Gaze-guided Hand-Object Interaction Synthesis: Benchmark and Method.
CoRR
Jie Tian, Lingxiao Yang, Ran Ji, Yuexin Ma, Lan Xu, Jingyi Yu, Ye Shi, Jingya Wang
2024 A* conf
Global and Local Prompts Cooperation via Optimal Transport for Federated Learning.
CVPR
Hongxia Li, Wei Huang, Jingya Wang, Ye Shi
2024 J jnl
Global and Local Prompts Cooperation via Optimal Transport for Federated Learning.
CoRR
Hongxia Li, Wei Huang, Jingya Wang, Ye Shi
2024 A* conf
Guidance with Spherical Gaussian Constraint for Conditional Diffusion.
ICML
Lingxiao Yang, Shutong Ding, Yifan Cai, Jingyi Yu, Jingya Wang, Ye Shi
2024 J jnl
Guidance with Spherical Gaussian Constraint for Conditional Diffusion.
CoRR
Lingxiao Yang, Shutong Ding, Yifan Cai, Jingyi Yu, Jingya Wang, Ye Shi
2024 A* conf
HOI-M
CVPR
Juze Zhang, Jingyan Zhang, Zining Song, Zhanhe Shi, Chengfeng Zhao, Ye Shi, Jingyi Yu, Lan Xu, Jingya Wang
2024 J jnl
HOI-M3: Capture Multiple Humans and Objects Interaction within Contextual Environment.
CoRR
Juze Zhang, Jingyan Zhang, Zining Song, Zhanhe Shi, Chengfeng Zhao, Ye Shi, Jingyi Yu, Lan Xu, Jingya Wang
2024 A* conf
Harmonizing Generalization and Personalization in Federated Prompt Learning.
ICML
Tianyu Cui, Hongxia Li, Jingya Wang, Ye Shi
2024 J jnl
Harmonizing Generalization and Personalization in Federated Prompt Learning.
CoRR
Tianyu Cui, Hongxia Li, Jingya Wang, Ye Shi
2024 A* conf
HybridGait: A Benchmark for Spatial-Temporal Cloth-Changing Gait Recognition with Hybrid Explorations.
AAAI
Yilan Dong, Chunlin Yu, Ruiyang Ha, Ye Shi, Yuexin Ma, Lan Xu, Yanwei Fu, Jingya Wang
2024 J jnl
HybridGait: A Benchmark for Spatial-Temporal Cloth-Changing Gait Recognition with Hybrid Explorations.
CoRR
Yilan Dong, Chunlin Yu, Ruiyang Ha, Ye Shi, Yuexin Ma, Lan Xu, Yanwei Fu, Jingya Wang
2024 A* conf
Monocular Human-Object Reconstruction in the Wild.
ACM Multimedia
Chaofan Huo, Ye Shi, Jingya Wang
2024 J jnl
Monocular Human-Object Reconstruction in the Wild.
CoRR
Chaofan Huo, Ye Shi, Jingya Wang
2024 J jnl
NLPrompt: Noise-Label Prompt Learning for Vision-Language Models.
CoRR
Bikang Pan, Qun Li, Xiaoying Tang, Wei Huang, Zhen Fang, Feng Liu, Jingya Wang, Jingyi Yu, Ye Shi
2024 J jnl
Robust Fuzzy Neural Network With an Adaptive Inference Engine.
IEEE Trans. Cybern.
Leijie Zhang, Ye Shi, Yu-Cheng Chang, Chin-Teng Lin
2024 J jnl
SeqAfford: Sequential 3D Affordance Reasoning via Multimodal Large Language Model.
CoRR
Chunlin Yu, Hanqing Wang, Ye Shi, Haoyang Luo, Sibei Yang, Jingyi Yu, Jingya Wang
2024 J jnl
StackFLOW: Monocular Human-Object Reconstruction by Stacked Normalizing Flow with Offset.
CoRR
Chaofan Huo, Ye Shi, Yuexin Ma, Lan Xu, Jingyi Yu, Jingya Wang
2024 J jnl
THOR: Text to Human-Object Interaction Diffusion via Relation Intervention.
CoRR
Qianyang Wu, Ye Shi, Xiaoshui Huang, Jingyi Yu, Lan Xu, Jingya Wang
2024 J jnl
Twin Fuzzy Networks With Interpolation Consistency Regularization for Weakly Supervised Anomaly Detection.
IEEE Trans. Fuzzy Syst.
Zhi Cao, Ye Shi, Yu-Cheng Chang, Xin Yao, Chin-Teng Lin
2024 — conf
Two-Stage Optimization for Efficient V2G Coordination in Distribution Power System.
SmartGridComm
Pengchao Tian, Siqi Yan, Bikang Pan, Ye Shi
2024 J jnl
Two-Stage Optimization for Efficient V2G Coordination in Distribution Power System.
CoRR
Pengchao Tian, Siqi Yan, Bikang Pan, Ye Shi
2024 A* conf
Understanding Convergence and Generalization in Federated Learning through Feature Learning Theory.
ICLR
Wei Huang, Ye Shi, Zhongyi Cai, Taiji Suzuki
2024 A* conf
Understanding Representation of Deep Equilibrium Models from Neural Collapse Perspective.
NeurIPS
Haixiang Sun, Ye Shi
2024 J jnl
Understanding Representation of Deep Equilibrium Models from Neural Collapse Perspective.
CoRR
Haixiang Sun, Ye Shi
2024 A* conf
Unsupervised Cross-Domain Image Retrieval via Prototypical Optimal Transport.
AAAI
Bin Li, Ye Shi, Qian Yu, Jingya Wang
2024 J jnl
Unsupervised Cross-Domain Image Retrieval via Prototypical Optimal Transport.
CoRR
Bin Li, Ye Shi, Qian Yu, Jingya Wang
2023 A* conf
Alternating Differentiation for Optimization Layers.
ICLR
Haixiang Sun, Ye Shi, Jingya Wang, Hoang Duong Tuan, H. Vincent Poor, Dacheng Tao
2023 A* conf
CSOT: Curriculum and Structure-Aware Optimal Transport for Learning with Noisy Labels.
NeurIPS
Wanxing Chang, Ye Shi, Jingya Wang
2023 J jnl
CSOT: Curriculum and Structure-Aware Optimal Transport for Learning with Noisy Labels.
CoRR
Wanxing Chang, Ye Shi, Jingya Wang
2023 A* conf
Contextually Affinitive Neighborhood Refinery for Deep Clustering.
NeurIPS
Chunlin Yu, Ye Shi, Jingya Wang
2023 J jnl
Contextually Affinitive Neighborhood Refinery for Deep Clustering.
CoRR
Chunlin Yu, Ye Shi, Jingya Wang
2023 J jnl
DreamFace: Progressive Generation of Animatable 3D Faces under Text Guidance.
CoRR
Longwen Zhang, Qiwei Qiu, Hongyang Lin, Qixuan Zhang, Cheng Shi, Wei Yang, Ye Shi, Sibei Yang, Lan Xu, Jingyi Yu
2023 J jnl
DreamFace: Progressive Generation of Animatable 3D Faces under Text Guidance.
ACM Trans. Graph.
Longwen Zhang, Qiwei Qiu, Hongyang Lin, Qixuan Zhang, Cheng Shi, Wei Yang, Ye Shi, Sibei Yang, Lan Xu, Jingyi Yu
2023 A* conf
Fed-CO
NeurIPS
Zhongyi Cai, Ye Shi, Wei Huang, Jingya Wang
2023 J jnl
Fed-CO2: Cooperation of Online and Offline Models for Severe Data Heterogeneity in Federated Learning.
CoRR
Zhongyi Cai, Ye Shi, Wei Huang, Jingya Wang
2023 J jnl
Federated Fuzzy Neural Network With Evolutionary Rule Learning.
IEEE Trans. Fuzzy Syst.
Leijie Zhang, Ye Shi, Yu-Cheng Chang, Chin-Teng Lin
2023 A* conf
IKOL: Inverse Kinematics Optimization Layer for 3D Human Pose and Shape Estimation via Gauss-Newton Differentiation.
AAAI
Juze Zhang, Ye Shi, Yuexin Ma, Lan Xu, Jingyi Yu, Jingya Wang
2023 J jnl
IKOL: Inverse kinematics optimization layer for 3D human pose and shape estimation via Gauss-Newton differentiation.
CoRR
Juze Zhang, Ye Shi, Yuexin Ma, Lan Xu, Jingyi Yu, Jingya Wang
2023 A* conf
Knowledge-Aware Federated Active Learning with Non-IID Data.
ICCV
Yu-Tong Cao, Ye Shi, Baosheng Yu, Jingya Wang, Dacheng Tao
2023 A* conf
Lifelong Person Re-identification via Knowledge Refreshing and Consolidation.
AAAI
Chunlin Yu, Ye Shi, Zimo Liu, Shenghua Gao, Jingya Wang
2023 J jnl
Multi-Agent Deep Reinforcement Learning for Energy-Efficient UAV-Aided Hybrid NOMA Data Collection.
IEEE Commun. Lett.
Zhaoyi Feng, Zhichao Sheng, Ye Shi, Ali A. Nasir, Yong Fang
2023 A* conf
NeuralDome: A Neural Modeling Pipeline on Multi-View Human-Object Interactions.
CVPR
Juze Zhang, Haimin Luo, Hongdi Yang, Xinru Xu, Qianyang Wu, Ye Shi, Jingyi Yu, Lan Xu, Jingya Wang
2023 A* conf
Reduced Policy Optimization for Continuous Control with Hard Constraints.
NeurIPS
Shutong Ding, Jingya Wang, Yali Du, Ye Shi
2023 J jnl
Reduced Policy Optimization for Continuous Control with Hard Constraints.
CoRR
Shutong Ding, Jingya Wang, Yali Du, Ye Shi
2023 A* conf
StackFLOW: Monocular Human-Object Reconstruction by Stacked Normalizing Flow with Offset.
IJCAI
Chaofan Huo, Ye Shi, Yuexin Ma, Lan Xu, Jingyi Yu, Jingya Wang
2023 J jnl
Toward multi-target self-organizing pursuit in a partially observable Markov game.
Inf. Sci.
Lijun Sun, Yu-Cheng Chang, Chao Lyu, Ye Shi, Yuhui Shi, Chin-Teng Lin
2023 A* conf
Two Sides of The Same Coin: Bridging Deep Equilibrium Models and Neural ODEs via Homotopy Continuation.
NeurIPS
Shutong Ding, Tianyu Cui, Jingya Wang, Ye Shi
2023 J jnl
Two Sides of The Same Coin: Bridging Deep Equilibrium Models and Neural ODEs via Homotopy Continuation.
CoRR
Shutong Ding, Tianyu Cui, Jingya Wang, Ye Shi
2022 J jnl
Alternating Differentiation for Optimization Layers.
CoRR
Haixiang Sun, Ye Shi, Jingya Wang, Hoang Duong Tuan, H. Vincent Poor, Dacheng Tao
2022 J jnl
Distributed Semi-supervised Fuzzy Regression with Interpolation Consistency Regularization.
CoRR
Ye Shi, Leijie Zhang, Zehong Cao, Muhammad Tanveer, Chin-Teng Lin
2022 J jnl
Distributed Semisupervised Fuzzy Regression With Interpolation Consistency Regularization.
IEEE Trans. Fuzzy Syst.
Ye Shi, Leijie Zhang, Zehong Cao, Muhammad Tanveer, Chin-Teng Lin
2022 — conf
Distributionally Robust Optimization for Vehicle-to-grid with Uncertain Renewable Energy.
ICCAIS
Qi Li, Pengchao Tian, Ye Shi, Yuanming Shi, Hoang Duong Tuan
2022 J jnl
FedTP: Federated Learning by Transformer Personalization.
CoRR
Hongxia Li, Zhongyi Cai, Jingya Wang, Jiangnan Tang, Weiping Ding, Chin-Teng Lin, Ye Shi
2022 J jnl
Federated Fuzzy Neural Network with Evolutionary Rule Learning.
CoRR
Leijie Zhang, Ye Shi, Yu-Cheng Chang, Chin-Teng Lin
2022 — conf
Federated Reinforcement Learning for Real-Time Electric Vehicle Charging and Discharging Control.
GLOBECOM (Workshops)
Zixuan Zhang, Yuning Jiang, Yuanming Shi, Ye Shi, Wei Chen
2022 J jnl
Federated Reinforcement Learning for Real-Time Electric Vehicle Charging and Discharging Control.
CoRR
Zixuan Zhang, Yuning Jiang, Yuanming Shi, Ye Shi, Wei Chen
2022 J jnl
Hierarchical fuzzy neural networks with privacy preservation for heterogeneous big data.
CoRR
Leijie Zhang, Ye Shi, Yu-Cheng Chang, Chin-Teng Lin
2022 J jnl
Knowledge-Aware Federated Active Learning with Non-IID Data.
CoRR
Yu-Tong Cao, Jingya Wang, Ye Shi, Baosheng Yu, Dacheng Tao
2022 J jnl
Lifelong Person Re-Identification via Knowledge Refreshing and Consolidation.
CoRR
Chunlin Yu, Ye Shi, Zimo Liu, Shenghua Gao, Jingya Wang
2022 A* conf
Mutual Adaptive Reasoning for Monocular 3D Multi-Person Pose Estimation.
ACM Multimedia
Juze Zhang, Jingya Wang, Ye Shi, Fei Gao, Lan Xu, Jingyi Yu
2022 J jnl
Mutual Adaptive Reasoning for Monocular 3D Multi-Person Pose Estimation.
CoRR
Juze Zhang, Jingya Wang, Ye Shi, Fei Gao, Lan Xu, Jingyi Yu
2022 J jnl
NeuralDome: A Neural Modeling Pipeline on Multi-View Human-Object Interactions.
CoRR
Juze Zhang, Haimin Luo, Hongdi Yang, Xinru Xu, Qianyang Wu, Ye Shi, Jingyi Yu, Lan Xu, Jingya Wang
2022 J jnl
Spatial-temporal attention-based convolutional network with text and numerical information for stock price prediction.
Neural Comput. Appl.
Chin-Teng Lin, Yu-Kai Wang, Pei-Lun Huang, Ye Shi, Yu-Cheng Chang
2022 J jnl
Toward multi-target self-organizing pursuit in a partially observable Markov game.
CoRR
Lijun Sun, Yu-Cheng Chang, Chao Lyu, Ye Shi, Yuhui Shi, Chin-Teng Lin
2022 A* conf
Unified Optimal Transport Framework for Universal Domain Adaptation.
NeurIPS
Wanxing Chang, Ye Shi, Hoang Tuan, Jingya Wang
2022 J jnl
Unified Optimal Transport Framework for Universal Domain Adaptation.
CoRR
Wanxing Chang, Ye Shi, Hoang Duong Tuan, Jingya Wang
2021 J jnl
Consensus Learning for Distributed Fuzzy Neural Network in Big Data Environment.
IEEE Trans. Emerg. Top. Comput. Intell.
Ye Shi, Chin-Teng Lin, Yu-Cheng Chang, Weiping Ding, Yuhui Shi, Xin Yao
2021 Misc conf
Fuzzy Logic Control for Multi-Robot Navigation and Arrival-Time Control in a Cluttered Environment.
ICMLC
Yu-Cheng Chang, Ye Shi, Anna Dostovalova, Chin-Teng Lin, Jijoong Kim, Daniel Gibbons
2021 J jnl
Hierarchical Fuzzy Neural Networks With Privacy Preservation for Heterogeneous Big Data.
IEEE Trans. Fuzzy Syst.
Leijie Zhang, Ye Shi, Yu-Cheng Chang, Chin-Teng Lin
2021 J jnl
Interpretable Fuzzy Logic Control for Multirobot Coordination in a Cluttered Environment.
IEEE Trans. Fuzzy Syst.
Yu-Cheng Chang, Ye Shi, Anna Dostovalova, Zehong Cao, Jijoong Kim, Daniel Gibbons, Chin-Teng Lin
2020 J jnl
PMU Placement Optimization for Efficient State Estimation in Smart Grid.
IEEE J. Sel. Areas Commun.
Ye Shi, Hoang Duong Tuan, Trung Q. Duong, H. Vincent Poor, Andrey V. Savkin
2019 — conf
Mixed Integer Nonlinear Programming for Joint Coordination of Plug-in Electrical Vehicles Charging and Smart Grid Operations.
SmartGridComm
Ye Shi, Hoang Duong Tuan, Andrey V. Savkin
2019 J jnl
Model Predictive Control for Smart Grids With Multiple Electric-Vehicle Charging Stations.
IEEE Trans. Smart Grid
Ye Shi, Hoang Duong Tuan, Andrey V. Savkin, Trung Quang Duong, H. Vincent Poor
2018 J jnl
Bang-Bang Charging of Electrical Vehicles by Smart Grid Technology.
CoRR
Ye Shi, Hoang Duong Tuan, Trung Quang Duong, H. Vincent Poor, Andrey V. Savkin
2018 J jnl
Global Optimal Power Flow over Large-Scale Power Transmission Network.
CoRR
Ye Shi, Hoang Duong Tuan, Pierre Apkarian, Andrey V. Savkin
2018 J jnl
Global optimal power flow over large-scale power transmission networks.
Syst. Control. Lett.
Ye Shi, Hoang Duong Tuan, Pierre Apkarian, Andrey V. Savkin
2018 J jnl
Mixed integer nonlinear programming for Joint Coordination of Plug-in Electrical Vehicles Charging and Smart Grid Operations.
CoRR
Ye Shi, Hoang Duong Tuan, Andrey V. Savkin
2018 — —
Nonconvex and nonsmooth optimization for robust control and power systems
Ye Shi
2018 J jnl
PMU Placement Optimization for Smart Grid Obvervability and State Estimation.
CoRR
Ye Shi, Hoang Duong Tuan, Ali A. Nasir, Trung Quang Duong, H. Vincent Poor
2018 J jnl
Parameterized Bilinear Matrix Inequality Techniques in H
CoRR
Ye Shi, Hoang Duong Tuan
2017 J jnl
Global optimization for optimal power flow over transmission networks.
J. Glob. Optim.
Ye Shi, Hoang Duong Tuan, Hoang Tuy, Steven W. Su
2017 J jnl
Model Predictive Control for Smart Grids with Multiple Electric-Vehicle Charging Stations.
CoRR
Ye Shi, Hoang Duong Tuan, Andrey V. Savkin, Trung Quang Duong, H. Vincent Poor
2017 — conf
Three-phase Optimal Power Flow for Smart Grids by Iterative Nonsmooth Optimization.
SMARTGREENS
Ye Shi, Hoang Duong Tuan, Andrey V. Savkin
2016 — conf
Multiple Matrix Rank Constrained Optimization for Optimal Power Flow over Large Scale Transmission Networks.
SMARTGREENS
Ye Shi, Hoang Duong Tuan, Steven W. Su, Andrey V. Savkin
2015 — conf
Nonsmooth optimization for optimal power flow over transmission networks.
GlobalSIP
Ye Shi, Hoang Duong Tuan, Steven W. Su, Ho Huu Minh Tam