2024
FedTP: Federated Learning by Transformer Personalization.
IEEE Trans. Neural Networks Learn. Syst., October, 2024
A Distributionally Robust Model Predictive Control for Static and Dynamic Uncertainties in Smart Grids.
IEEE Trans. Smart Grid, September, 2024
Twin Fuzzy Networks With Interpolation Consistency Regularization for Weakly Supervised Anomaly Detection.
IEEE Trans. Fuzzy Syst., September, 2024
Robust Fuzzy Neural Network With an Adaptive Inference Engine.
IEEE Trans. Cybern., May, 2024
SeqAfford: Sequential 3D Affordance Reasoning via Multimodal Large Language Model.
CoRR, 2024
NLPrompt: Noise-Label Prompt Learning for Vision-Language Models.
CoRR, 2024
HOI-M3: Capture Multiple Humans and Objects Interaction within Contextual Environment.
CoRR, 2024
Gaze-guided Hand-Object Interaction Synthesis: Benchmark and Method.
CoRR, 2024
THOR: Text to Human-Object Interaction Diffusion via Relation Intervention.
CoRR, 2024
Two-Stage Optimization for Efficient V2G Coordination in Distribution Power System.
Proceedings of the IEEE International Conference on Communications, 2024
Understanding Representation of Deep Equilibrium Models from Neural Collapse Perspective.
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024
Federated Learning from Vision-Language Foundation Models: Theoretical Analysis and Method.
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024
Diffusion-based Reinforcement Learning via Q-weighted Variational Policy Optimization.
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024
Monocular Human-Object Reconstruction in the Wild.
Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024
Guidance with Spherical Gaussian Constraint for Conditional Diffusion.
Proceedings of the Forty-first International Conference on Machine Learning, 2024
Harmonizing Generalization and Personalization in Federated Prompt Learning.
Proceedings of the Forty-first International Conference on Machine Learning, 2024
Understanding Convergence and Generalization in Federated Learning through Feature Learning Theory.
Proceedings of the Twelfth International Conference on Learning Representations, 2024
HOI-M<sup>3</sup>: Capture Multiple Humans and Objects Interaction within Contextual Environment.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024
A Unified Diffusion Framework for Scene-aware Human Motion Estimation from Sparse Signals.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024
Global and Local Prompts Cooperation via Optimal Transport for Federated Learning.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024
Unsupervised Cross-Domain Image Retrieval via Prototypical Optimal Transport.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 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
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