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ORCIDYe Shi 0001
石野
Person information
- affiliation: ShanghaiTech University, School of Information Science Technology, Shanghai, China
- affiliation (former): University of Technology Sydney, School of Electrical and Data Engineering, NSW, Australia
- unicode name: 石野
Other persons with the same name
- Ye Shi (aka: Shi Ye) — disambiguation page
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2020 – today
- 2024
[j16]Leijie Zhang
, Ye Shi, Yu-Cheng Chang, Chin-Teng Lin:
Robust Fuzzy Neural Network With an Adaptive Inference Engine. IEEE Trans. Cybern. 54(5): 3275-3285 (2024)- [j15]Zhi Cao, Ye Shi, Yu-Cheng Chang, Xin Yao, Chin-Teng Lin:
Twin Fuzzy Networks With Interpolation Consistency Regularization for Weakly Supervised Anomaly Detection. IEEE Trans. Fuzzy Syst. 32(9): 5086-5097 (2024) - [j14]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. IEEE Trans. Smart Grid 15(5): 4890-4902 (2024) - [c25]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: 1600-1608 - [c24]Bin Li, Ye Shi, Qian Yu, Jingya Wang:
Unsupervised Cross-Domain Image Retrieval via Prototypical Optimal Transport. AAAI 2024: 3009-3017 - [c23]Wei Huang, Ye Shi, Zhongyi Cai, Taiji Suzuki:
Understanding Convergence and Generalization in Federated Learning through Feature Learning Theory. ICLR 2024 - [c22]Tianyu Cui, Hongxia Li, Jingya Wang, Ye Shi:
Harmonizing Generalization and Personalization in Federated Prompt Learning. ICML 2024 - [c21]Lingxiao Yang, Shutong Ding, Yifan Cai, Jingyi Yu, Jingya Wang, Ye Shi:
Guidance with Spherical Gaussian Constraint for Conditional Diffusion. ICML 2024 - [i37]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 abs/2401.00271 (2024) - [i36]Lingxiao Yang, Shutong Ding, Yifan Cai, Jingyi Yu, Jingya Wang, Ye Shi:
Guidance with Spherical Gaussian Constraint for Conditional Diffusion. CoRR abs/2402.03201 (2024) - [i35]Bin Li, Ye Shi, Qian Yu, Jingya Wang:
Unsupervised Cross-Domain Image Retrieval via Prototypical Optimal Transport. CoRR abs/2402.18411 (2024) - [i34]Hongxia Li, Wei Huang, Jingya Wang, Ye Shi:
Global and Local Prompts Cooperation via Optimal Transport for Federated Learning. CoRR abs/2403.00041 (2024) - [i33]Qianyang Wu, Ye Shi, Xiaoshui Huang, Jingyi Yu, Lan Xu, Jingya Wang:
THOR: Text to Human-Object Interaction Diffusion via Relation Intervention. CoRR abs/2403.11208 (2024) - [i32]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 abs/2403.16169 (2024) - [i31]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 abs/2403.16402 (2024) - [i30]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 abs/2404.00299 (2024) - [i29]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 abs/2404.04890 (2024) - [i28]Tianyu Cui, Hongxia Li, Jingya Wang, Ye Shi:
Harmonizing Generalization and Personalization in Federated Prompt Learning. CoRR abs/2405.09771 (2024) - [i27]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 abs/2405.16173 (2024) - [i26]Chaofan Huo, Ye Shi, Jingya Wang:
Monocular Human-Object Reconstruction in the Wild. CoRR abs/2407.20566 (2024) - 2023
- [j13]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): 2722-2726 (2023) - [j12]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: 119475 (2023) - [j11]Leijie Zhang, Ye Shi, Yu-Cheng Chang, Chin-Teng Lin:
Federated Fuzzy Neural Network With Evolutionary Rule Learning. IEEE Trans. Fuzzy Syst. 31(5): 1653-1664 (2023) - [j10]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): 138:1-138:16 (2023) - [c20]Chunlin Yu, Ye Shi, Zimo Liu, Shenghua Gao, Jingya Wang:
Lifelong Person Re-identification via Knowledge Refreshing and Consolidation. AAAI 2023: 3295-3303 - [c19]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: 3454-3462 - [c18]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: 8834-8845 - [c17]Yu-Tong Cao, Ye Shi, Baosheng Yu, Jingya Wang, Dacheng Tao:
Knowledge-Aware Federated Active Learning with Non-IID Data. ICCV 2023: 22222-22232 - [c16]Haixiang Sun, Ye Shi, Jingya Wang, Hoang Duong Tuan, H. Vincent Poor, Dacheng Tao:
Alternating Differentiation for Optimization Layers. ICLR 2023 - [c15]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: 902-910 - [c14]Zhongyi Cai, Ye Shi, Wei Huang, Jingya Wang:
Fed-CO2: Cooperation of Online and Offline Models for Severe Data Heterogeneity in Federated Learning. NeurIPS 2023 - [c13]Wanxing Chang, Ye Shi, Jingya Wang:
CSOT: Curriculum and Structure-Aware Optimal Transport for Learning with Noisy Labels. NeurIPS 2023 - [c12]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 - [c11]Shutong Ding, Jingya Wang, Yali Du, Ye Shi:
Reduced Policy Optimization for Continuous Control with Hard Constraints. NeurIPS 2023 - [c10]Chunlin Yu, Ye Shi, Jingya Wang:
Contextually Affinitive Neighborhood Refinery for Deep Clustering. NeurIPS 2023 - [i25]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 abs/2302.01058 (2023) - [i24]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 abs/2304.03117 (2023) - [i23]Shutong Ding, Jingya Wang, Yali Du, Ye Shi:
Reduced Policy Optimization for Continuous Control with Hard Constraints. CoRR abs/2310.09574 (2023) - [i22]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 abs/2310.09583 (2023) - [i21]Wanxing Chang, Ye Shi, Jingya Wang:
CSOT: Curriculum and Structure-Aware Optimal Transport for Learning with Noisy Labels. CoRR abs/2312.06221 (2023) - [i20]Chunlin Yu, Ye Shi, Jingya Wang:
Contextually Affinitive Neighborhood Refinery for Deep Clustering. CoRR abs/2312.07806 (2023) - [i19]Zhongyi Cai, Ye Shi, Wei Huang, Jingya Wang:
Fed-CO2: Cooperation of Online and Offline Models for Severe Data Heterogeneity in Federated Learning. CoRR abs/2312.13923 (2023) - 2022
- [j9]Chin-Teng Lin, Yu-Kai 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): 14387-14395 (2022) - [j8]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): 3125-3137 (2022) - [c9]Zixuan Zhang, Yuning Jiang, Yuanming Shi, Ye Shi, Wei Chen:
Federated Reinforcement Learning for Real-Time Electric Vehicle Charging and Discharging Control. GLOBECOM (Workshops) 2022: 1717-1722 - [c8]Qi Li, Pengchao Tian, Ye Shi, Yuanming Shi, Hoang Duong Tuan:
Distributionally Robust Optimization for Vehicle-to-grid with Uncertain Renewable Energy. ICCAIS 2022: 462-467 - [c7]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: 1788-1796 - [c6]Wanxing Chang, Ye Shi, Hoang Tuan, Jingya Wang:
Unified Optimal Transport Framework for Universal Domain Adaptation. NeurIPS 2022 - [i18]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 abs/2206.12330 (2022) - [i17]Juze Zhang, Jingya Wang, Ye Shi, Fei Gao, Lan Xu, Jingyi Yu:
Mutual Adaptive Reasoning for Monocular 3D Multi-Person Pose Estimation. CoRR abs/2207.07900 (2022) - [i16]Leijie Zhang, Ye Shi, Yu-Cheng Chang, Chin-Teng Lin:
Hierarchical fuzzy neural networks with privacy preservation for heterogeneous big data. CoRR abs/2209.08467 (2022) - [i15]Ye Shi, Leijie Zhang, Zehong Cao, Muhammad Tanveer, Chin-Teng Lin:
Distributed Semi-supervised Fuzzy Regression with Interpolation Consistency Regularization. CoRR abs/2209.09240 (2022) - [i14]Zixuan Zhang, Yuning Jiang, Yuanming Shi, Ye Shi, Wei Chen:
Federated Reinforcement Learning for Real-Time Electric Vehicle Charging and Discharging Control. CoRR abs/2210.01452 (2022) - [i13]Haixiang Sun, Ye Shi, Jingya Wang, Hoang Duong Tuan, H. Vincent Poor, Dacheng Tao:
Alternating Differentiation for Optimization Layers. CoRR abs/2210.01802 (2022) - [i12]Leijie Zhang, Ye Shi, Yu-Cheng Chang, Chin-Teng Lin:
Federated Fuzzy Neural Network with Evolutionary Rule Learning. CoRR abs/2210.14393 (2022) - [i11]Wanxing Chang, Ye Shi, Hoang Duong Tuan, Jingya Wang:
Unified Optimal Transport Framework for Universal Domain Adaptation. CoRR abs/2210.17067 (2022) - [i10]Hongxia Li, Zhongyi Cai, Jingya Wang, Jiangnan Tang, Weiping Ding, Chin-Teng Lin, Ye Shi:
FedTP: Federated Learning by Transformer Personalization. CoRR abs/2211.01572 (2022) - [i9]Yu-Tong Cao, Jingya Wang, Ye Shi, Baosheng Yu, Dacheng Tao:
Knowledge-Aware Federated Active Learning with Non-IID Data. CoRR abs/2211.13579 (2022) - [i8]Chunlin Yu, Ye Shi, Zimo Liu, Shenghua Gao, Jingya Wang:
Lifelong Person Re-Identification via Knowledge Refreshing and Consolidation. CoRR abs/2211.16201 (2022) - [i7]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 abs/2212.07626 (2022) - 2021
- [j7]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): 29-41 (2021) - [j6]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): 46-58 (2021) - [j5]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): 3676-3685 (2021) - [c5]Yu-Cheng Chang, Ye Shi, Anna Dostovalova, Chin-Teng Lin, Jijoong Kim, Daniel Gibbons:
Fuzzy Logic Control for Multi-Robot Navigation and Arrival-Time Control in a Cluttered Environment. ICMLC 2021: 1-6 - 2020
- [j4]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): 71-83 (2020)
2010 – 2019
- 2019
- [j3]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): 2127-2136 (2019) - [c4]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: 1-6 - 2018
- [j2]Ye Shi, Hoang Duong Tuan, Pierre Apkarian, Andrey V. Savkin:
Global optimal power flow over large-scale power transmission networks. Syst. Control. Lett. 118: 16-21 (2018) - [i6]Ye Shi, Hoang Duong Tuan, Pierre Apkarian, Andrey V. Savkin:
Global Optimal Power Flow over Large-Scale Power Transmission Network. CoRR abs/1802.04456 (2018) - [i5]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 abs/1802.04459 (2018) - [i4]Ye Shi, Hoang Duong Tuan:
Parameterized Bilinear Matrix Inequality Techniques in H∞ Fuzzy PID Control Design. CoRR abs/1802.04460 (2018) - [i3]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 abs/1806.02541 (2018) - [i2]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 abs/1806.03188 (2018) - 2017
- [j1]Ye Shi, Hoang Duong Tuan, Hoang Tuy, Steven W. Su:
Global optimization for optimal power flow over transmission networks. J. Glob. Optim. 69(3): 745-760 (2017) - [c3]Ye Shi, Hoang Duong Tuan, Andrey V. Savkin:
Three-phase Optimal Power Flow for Smart Grids by Iterative Nonsmooth Optimization. SMARTGREENS 2017: 323-328 - [i1]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 abs/1708.07626 (2017) - 2016
- [c2]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: 384-389 - 2015
- [c1]Ye Shi, Hoang Duong Tuan, Steven W. Su, Ho Huu Minh Tam:
Nonsmooth optimization for optimal power flow over transmission networks. GlobalSIP 2015: 1141-1144
Coauthor Index
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