2025
Dynamic Dictionary Learning for Remote Sensing Image Segmentation.
CoRR, March, 2025
Diverse Policies Recovering via Pointwise Mutual Information Weighted Imitation Learning.
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Proceedings of the Thirteenth International Conference on Learning Representations, 2025
An Open-Ended Learning Framework for Opponent Modeling.
Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025
2024
OpenHoldem: A Benchmark for Large-Scale Imperfect-Information Game Research.
IEEE Trans. Neural Networks Learn. Syst., October, 2024
Self-Supervised MAFENN for Classifying Low-Labeled Distorted Images Over Mobile Fading Channels.
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IEEE Trans. Mob. Comput., August, 2024
Cooperative Multiagent Transfer Learning With Coalition Pattern Decomposition.
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IEEE Trans. Games, June, 2024
Sample Efficient Reinforcement Learning Using Graph-Based Memory Reconstruction.
IEEE Trans. Artif. Intell., February, 2024
LLM4AD: A Platform for Algorithm Design with Large Language Model.
CoRR, 2024
Knowledge Transfer and Domain Adaptation for Fine-Grained Remote Sensing Image Segmentation.
CoRR, 2024
Adapting Vision Foundation Models for Robust Cloud Segmentation in Remote Sensing Images.
CoRR, 2024
Diverse Policies Recovering via Pointwise Mutual Information Weighted Imitation Learning.
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CoRR, 2024
Automatically designing counterfactual regret minimization algorithms for solving imperfect-information games.
Artif. Intell., 2024
Selection Strategy Based on Proper Pareto Optimality in Evolutionary Multi-objective Optimization.
Proceedings of the Parallel Problem Solving from Nature - PPSN XVIII, 2024
Opponent Modeling with In-context Search.
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024
Efficient Multi-task Reinforcement Learning with Cross-Task Policy Guidance.
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024
Minimizing Weighted Counterfactual Regret with Optimistic Online Mirror Descent.
Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024
Dynamic Discounted Counterfactual Regret Minimization.
Proceedings of the Twelfth International Conference on Learning Representations, 2024
Towards Offline Opponent Modeling with In-context Learning.
Proceedings of the Twelfth International Conference on Learning Representations, 2024
Not All Tasks Are Equally Difficult: Multi-Task Deep Reinforcement Learning with Dynamic Depth Routing.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024
Multiagent Gumbel MuZero: Efficient Planning in Combinatorial Action Spaces.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024
2023
6G Network AI Architecture for Everyone-Centric Customized Services.
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IEEE Netw., September, 2023
Not All Tasks Are Equally Difficult: Multi-Task Reinforcement Learning with Dynamic Depth Routing.
CoRR, 2023
DiffCR: A Fast Conditional Diffusion Framework for Cloud Removal from Optical Satellite Images.
CoRR, 2023
Automatic Grouping for Efficient Cooperative Multi-Agent Reinforcement Learning.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
Pseudo Value Network Distillation for High-Performance Exploration.
Proceedings of the International Joint Conference on Neural Networks, 2023
Modeling of Diverse Computing Requirements in Azure Task Traces.
Proceedings of the IEEE International Conference on Communications, 2023
Sequential Cooperative Multi-Agent Reinforcement Learning.
Proceedings of the 2023 International Conference on Autonomous Agents and Multiagent Systems, 2023
2022
Multi-Agent Feedback Enabled Neural Networks for Intelligent Communications.
IEEE Trans. Wirel. Commun., 2022
Multiagent Q-learning with Sub-Team Coordination.
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Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022
L2E: Learning to Exploit Your Opponent.
Proceedings of the International Joint Conference on Neural Networks, 2022
Towards a Unified Benchmark for Reinforcement Learning in Sparse Reward Environments.
Proceedings of the Neural Information Processing - 29th International Conference, 2022
Greedy when Sure and Conservative when Uncertain about the Opponents.
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Proceedings of the International Conference on Machine Learning, 2022
Actor-Critic Policy Optimization in a Large-Scale Imperfect-Information Game.
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Proceedings of the Tenth International Conference on Learning Representations, 2022
NPSR: Neural Network enabled Phase-Space Reconstruction for Wireless Channel Prediction.
Proceedings of the IEEE Globecom 2022 Workshops, 2022
Markov State Transition Modeling in Complex High-Dimensional State Space Based on Fuzzy Integral.
Proceedings of the IEEE Globecom 2022 Workshops, 2022
Multiagent Q-learning with Sub-Team Coordination.
Proceedings of the 21st International Conference on Autonomous Agents and Multiagent Systems, 2022
DBM: Delay-sensitive Buffering Mechanism for DNN Offloading Services.
Proceedings of the 27th Asia Pacific Conference on Communications, 2022
AlphaHoldem: High-Performance Artificial Intelligence for Heads-Up No-Limit Poker via End-to-End Reinforcement Learning.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022
AutoCFR: Learning to Design Counterfactual Regret Minimization Algorithms.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022
2021
DRESIA: Deep Reinforcement Learning-Enabled Gray Box Approach for Large-Scale Dynamic Cyber-Twin System Simulation.
IEEE Open J. Comput. Soc., 2021
Cooperative Multi-Agent Transfer Learning with Level-Adaptive Credit Assignment.
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CoRR, 2021
L2E: Learning to Exploit Your Opponent.
CoRR, 2021
Learning to Play Hard Exploration Games Using Graph-Guided Self-Navigation.
Proceedings of the International Joint Conference on Neural Networks, 2021
Retrospective Thinking based Multi-Agent System for Wireless Video Transmissions.
Proceedings of the ICC 2021, 2021
FSST: Frequency-Space Signal Transformation of Massive MIMO Channels.
Proceedings of the IEEE Global Communications Conference, 2021
MAFENN: Multi-Agent Feedback Enabled Neural Network for Wireless Channel Equalization.
Proceedings of the IEEE Global Communications Conference, 2021
Deep Reinforcement Learning for Resource Allocation in Massive MIMO.
Proceedings of the 29th European Signal Processing Conference, 2021
Adaptive Multi-objective Reinforcement Learning for Pareto Frontier Approximation: A Case Study of Resource Allocation Network in Massive MIMO.
Proceedings of the 29th European Signal Processing Conference, 2021
SFDIC: Spatial Features Distributed Interference Coordination for Massive MIMO Systems.
Proceedings of the 26th IEEE Asia-Pacific Conference on Communications, 2021
Exploration via State influence Modeling.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021
2020
OpenHoldem: An Open Toolkit for Large-Scale Imperfect-Information Game Research.
CoRR, 2020
DSAM: A Distance Shrinking with Angular Marginalizing Loss for High Performance Vehicle Re-identificatio.
CoRR, 2020
Potential Driven Reinforcement Learning for Hard Exploration Tasks.
Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020
2019
基于四元数小波变换和Copula模型的图像融合 (Image Fusion Using Quaternion Wavelet Transform and Copula Model).
计算机科学, 2019
A Multi-tier Cost Model for Effective User Scheduling in Fog Computing Networks.
Proceedings of the IEEE INFOCOM 2019, 2019
Spatial Temporal Attentional Glimpse for Human Activity Classification in Video.
Proceedings of the 2019 IEEE International Conference on Image Processing, 2019
Parallel Scheduling of Multiple Tasks in Heterogeneous Fog Networks.
Proceedings of the 25th Asia-Pacific Conference on Communications, 2019
2018
DECCO: Deep-Learning Enabled Coverage and Capacity Optimization for Massive MIMO Systems.
IEEE Access, 2018
Deep Age Estimation Model Stabilization from Images to Videos.
Proceedings of the 24th International Conference on Pattern Recognition, 2018
Deep Cost-Sensitive and Order-Preserving Feature Learning for Cross-Population Age Estimation.
Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018
2017
Diagnosing deep learning models for high accuracy age estimation from a single image.
Pattern Recognit., 2017
D2C: Deep cumulatively and comparatively learning for human age estimation.
Pattern Recognit., 2017
A Novel Network Optimization Method for Cooperative Massive MIMO Systems.
Proceedings of the 85th IEEE Vehicular Technology Conference, 2017
Weakly supervised multiscale-inception learning for web-scale face recognition.
Proceedings of the 2017 IEEE International Conference on Image Processing, 2017
2016
Bootstrapping deep feature hierarchy for pornographic image recognition.
Proceedings of the 2016 IEEE International Conference on Image Processing, 2016
2015
Predicting Image Memorability by Multi-view Adaptive Regression.
Proceedings of the 23rd Annual ACM Conference on Multimedia Conference, MM '15, Brisbane, Australia, October 26, 2015