Ye Shi

Orcid: 0000-0003-2302-4980

Affiliations:
  • ShanghaiTech University, School of Information Science Technology, Shanghai, China
  • University of Technology Sydney, School of Electrical and Data Engineering, NSW, Australia (former)


According to our database1, Ye Shi authored at least 43 papers between 2015 and 2024.

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Bibliography

2024
Guidance with Spherical Gaussian Constraint for Conditional Diffusion.
CoRR, 2024

HybridGait: A Benchmark for Spatial-Temporal Cloth-Changing Gait Recognition with Hybrid Explorations.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
Toward multi-target self-organizing pursuit in a partially observable Markov game.
Inf. Sci., November, 2023

Multi-Agent Deep Reinforcement Learning for Energy-Efficient UAV-Aided Hybrid NOMA Data Collection.
IEEE Commun. Lett., October, 2023

DreamFace: Progressive Generation of Animatable 3D Faces under Text Guidance.
ACM Trans. Graph., August, 2023

Federated Fuzzy Neural Network With Evolutionary Rule Learning.
IEEE Trans. Fuzzy Syst., May, 2023

Fed-CO2: Cooperation of Online and Offline Models for Severe Data Heterogeneity in Federated Learning.
CoRR, 2023

Contextually Affinitive Neighborhood Refinery for Deep Clustering.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Reduced Policy Optimization for Continuous Control with Hard Constraints.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Two Sides of The Same Coin: Bridging Deep Equilibrium Models and Neural ODEs via Homotopy Continuation.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

CSOT: Curriculum and Structure-Aware Optimal Transport for Learning with Noisy Labels.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Fed-CO<sub>2</sub>: Cooperation of Online and Offline Models for Severe Data Heterogeneity in Federated Learning.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

StackFLOW: Monocular Human-Object Reconstruction by Stacked Normalizing Flow with Offset.
Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

Alternating Differentiation for Optimization Layers.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

Knowledge-Aware Federated Active Learning with Non-IID Data.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

NeuralDome: A Neural Modeling Pipeline on Multi-View Human-Object Interactions.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

IKOL: Inverse Kinematics Optimization Layer for 3D Human Pose and Shape Estimation via Gauss-Newton Differentiation.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

Lifelong Person Re-identification via Knowledge Refreshing and Consolidation.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022
Distributed Semisupervised Fuzzy Regression With Interpolation Consistency Regularization.
IEEE Trans. Fuzzy Syst., 2022

Spatial-temporal attention-based convolutional network with text and numerical information for stock price prediction.
Neural Comput. Appl., 2022

FedTP: Federated Learning by Transformer Personalization.
CoRR, 2022

Unified Optimal Transport Framework for Universal Domain Adaptation.
CoRR, 2022

Distributed Semi-supervised Fuzzy Regression with Interpolation Consistency Regularization.
CoRR, 2022

Unified Optimal Transport Framework for Universal Domain Adaptation.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Mutual Adaptive Reasoning for Monocular 3D Multi-Person Pose Estimation.
Proceedings of the MM '22: The 30th ACM International Conference on Multimedia, Lisboa, Portugal, October 10, 2022

Distributionally Robust Optimization for Vehicle-to-grid with Uncertain Renewable Energy.
Proceedings of the 11th International Conference on Control, 2022

Federated Reinforcement Learning for Real-Time Electric Vehicle Charging and Discharging Control.
Proceedings of the IEEE Globecom 2022 Workshops, 2022

2021
Hierarchical Fuzzy Neural Networks With Privacy Preservation for Heterogeneous Big Data.
IEEE Trans. Fuzzy Syst., 2021

Interpretable Fuzzy Logic Control for Multirobot Coordination in a Cluttered Environment.
IEEE Trans. Fuzzy Syst., 2021

Consensus Learning for Distributed Fuzzy Neural Network in Big Data Environment.
IEEE Trans. Emerg. Top. Comput. Intell., 2021

Fuzzy Logic Control for Multi-Robot Navigation and Arrival-Time Control in a Cluttered Environment.
Proceedings of the International Conference on Machine Learning and Cybernetics, 2021

2020
PMU Placement Optimization for Efficient State Estimation in Smart Grid.
IEEE J. Sel. Areas Commun., 2020

2019
Model Predictive Control for Smart Grids With Multiple Electric-Vehicle Charging Stations.
IEEE Trans. Smart Grid, 2019

Mixed Integer Nonlinear Programming for Joint Coordination of Plug-in Electrical Vehicles Charging and Smart Grid Operations.
Proceedings of the 2019 IEEE International Conference on Communications, 2019

2018
Global optimal power flow over large-scale power transmission networks.
Syst. Control. Lett., 2018

PMU Placement Optimization for Smart Grid Obvervability and State Estimation.
CoRR, 2018

Parameterized Bilinear Matrix Inequality Techniques in H<sub>∞</sub> Fuzzy PID Control Design.
CoRR, 2018

Bang-Bang Charging of Electrical Vehicles by Smart Grid Technology.
CoRR, 2018

Global Optimal Power Flow over Large-Scale Power Transmission Network.
CoRR, 2018

2017
Global optimization for optimal power flow over transmission networks.
J. Glob. Optim., 2017

Three-phase Optimal Power Flow for Smart Grids by Iterative Nonsmooth Optimization.
Proceedings of the SMARTGREENS 2017, 2017

2016
Multiple Matrix Rank Constrained Optimization for Optimal Power Flow over Large Scale Transmission Networks.
Proceedings of the SMARTGREENS 2016, 2016

2015
Nonsmooth optimization for optimal power flow over transmission networks.
Proceedings of the 2015 IEEE Global Conference on Signal and Information Processing, 2015


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