Predicting Image Memorability by Multi-view Adaptive Regression. - Houwen Peng; Kai Li 022; Bing Li 001; Haibin Ling; Weihua Xiong; Weiming Hu (ACM Multimedia, 2015)

Bootstrapping deep feature hierarchy for pornographic image recognition. - Kai Li 022; Junliang Xing; Bing Li 001; Weiming Hu (ICIP, 2016)

Weakly supervised multiscale-inception learning for web-scale face recognition. - Cheng Cheng; Junliang Xing; Youji Feng; Pengcheng Liu; Xiaohu Shao; Kai Li 022; Xiang-Dong Zhou (ICIP, 2017)

A Novel Network Optimization Method for Cooperative Massive MIMO Systems. - Kai Li 022; Yang Yang 001; Yu Chen 006; Xiumei Yang; Huiyue Yi (VTC Spring, 2017)

D2C: Deep cumulatively and comparatively learning for human age estimation. - Kai Li 022; Junliang Xing; Weiming Hu; Stephen J. Maybank (Pattern Recognit., 2017)

Diagnosing deep learning models for high accuracy age estimation from a single image. - Junliang Xing; Kai Li 022; Weiming Hu; Chunfeng Yuan; Haibin Ling (Pattern Recognit., 2017)

Deep Cost-Sensitive and Order-Preserving Feature Learning for Cross-Population Age Estimation. - Kai Li 022; Junliang Xing; Chi Su; Weiming Hu; Yundong Zhang; Stephen J. Maybank (CVPR, 2018)

DECCO: Deep-Learning Enabled Coverage and Capacity Optimization for Massive MIMO Systems. - Yang Yang 001; Yang Li 116; Kai Li 022; Shuang Zhao; Rui Chen 001; Jun Wang 012; Song Ci (IEEE Access, 2018)

Parallel Scheduling of Multiple Tasks in Heterogeneous Fog Networks. - Zening Liu; Kunlun Wang 001; Kai Li 022; Ming-Tuo Zhou; Yang Yang 001 (APCC, 2019)

Spatial Temporal Attentional Glimpse for Human Activity Classification in Video. - Jiangtao Kong; Rongchao Xu; Junliang Xing; Kai Li 022; Wei Ma (ICIP, 2019)

A Multi-tier Cost Model for Effective User Scheduling in Fog Computing Networks. - Zening Liu; Yang Yang 001; Yu Chen 006; Kai Li 022; Ziqin Li; Xiliang Luo (INFOCOM Workshops, 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). - Kai Li 022; Xiaoqing Luo; Zhancheng Zhang; Jun Wang 012 (计算机科学, 2019)

Potential Driven Reinforcement Learning for Hard Exploration Tasks. - Enmin Zhao; Shihong Deng; Yifan Zang 001; Yongxin Kang; Kai Li 022; Junliang Xing (IJCAI, 2020)

DSAM: A Distance Shrinking with Angular Marginalizing Loss for High Performance Vehicle Re-identificatio. - Jiangtao Kong; Yu Cheng 009; Benjia Zhou; Kai Li 022; Junliang Xing (CoRR, 2020)

OpenHoldem: An Open Toolkit for Large-Scale Imperfect-Information Game Research. - Kai Li 022; Hang Xu 006; Meng Zhang; Enmin Zhao; Zhe Wu; Junliang Xing; Kaiqi Huang (CoRR, 2020)

Exploration via State influence Modeling. - Yongxin Kang; Enmin Zhao; Kai Li 022; Junliang Xing (AAAI, 2021)

SFDIC: Spatial Features Distributed Interference Coordination for Massive MIMO Systems. - Lei Zhu; Kai Li 022; Yang Yang 001; Liantao Wu; Fanglei Sun; Jinhan Guo; Hanhui Li (APCC, 2021)

Adaptive Multi-objective Reinforcement Learning for Pareto Frontier Approximation: A Case Study of Resource Allocation Network in Massive MIMO. - Ruiqing Chen; Fanglei Sun; Liang Chen; Kai Li 022; Liantao Wu; Jun Wang 012; Yang Yang 001 (EUSIPCO, 2021)

Deep Reinforcement Learning for Resource Allocation in Massive MIMO. - Liang Chen; Fanglei Sun; Kai Li 022; Ruiqing Chen; Yang Yang 001; Jun Wang 012 (EUSIPCO, 2021)

MAFENN: Multi-Agent Feedback Enabled Neural Network for Wireless Channel Equalization. - Yang Li 116; Fanglei Sun; Weiqin Zu; Wenbin Song; Ying Wen 001; Jun Wang 012; Yang Yang 001; Kai Li 022; Liantao Wu (GLOBECOM, 2021)

FSST: Frequency-Space Signal Transformation of Massive MIMO Channels. - Lei Zhu; Guoliang Gao; Kai Li 022; Yang Yang 001; Liantao Wu; Fanglei Sun (GLOBECOM, 2021)

Retrospective Thinking based Multi-Agent System for Wireless Video Transmissions. - Yang Li 116; Fanglei Sun; Wenbin Song; Ying Wen 001; Kai Li 022; Jun Wang 012; Yang Yang 001 (ICC, 2021)

Learning to Play Hard Exploration Games Using Graph-Guided Self-Navigation. - Enmin Zhao; Renye Yan; Kai Li 022; Lijuan Li 002; Junliang Xing (IJCNN, 2021)

L2E: Learning to Exploit Your Opponent. - Zhe Wu; Kai Li 022; Enmin Zhao; Hang Xu 006; Meng Zhang; Haobo Fu; Bo An 001; Junliang Xing (CoRR, 2021)

Cooperative Multi-Agent Transfer Learning with Level-Adaptive Credit Assignment. - Tianze Zhou; Fubiao Zhang; Kun Shao; Kai Li 022; Wenhan Huang; Jun Luo 009; Weixun Wang; Yaodong Yang 002; Hangyu Mao; Bin Wang 034; Dong Li 016; Wulong Liu; et al. (CoRR, 2021)

DRESIA: Deep Reinforcement Learning-Enabled Gray Box Approach for Large-Scale Dynamic Cyber-Twin System Simulation. - Zhouyang Lin; Kai Li 022; Yang Yang 001; Fanglei Sun; Liantao Wu; Panpan Shi; Song Ci; Yong Zuo (IEEE Open J. Comput. Soc., 2021)

AutoCFR: Learning to Design Counterfactual Regret Minimization Algorithms. - Hang Xu 006; Kai Li 022; Haobo Fu; Qiang Fu 016; Junliang Xing (AAAI, 2022)

AlphaHoldem: High-Performance Artificial Intelligence for Heads-Up No-Limit Poker via End-to-End Reinforcement Learning. - Enmin Zhao; Renye Yan; Jinqiu Li; Kai Li 022; Junliang Xing (AAAI, 2022)

DBM: Delay-sensitive Buffering Mechanism for DNN Offloading Services. - Guoliang Gao; Liantao Wu; Yang Yang 001; Kai Li 022 (APCC, 2022)

Multiagent Q-learning with Sub-Team Coordination. - Wenhan Huang; Kai Li 022; Kun Shao; Tianze Zhou; Jun Luo 009; Dongge Wang 001; Hangyu Mao; Jianye Hao; Jun Wang 012; Xiaotie Deng (AAMAS, 2022)

Markov State Transition Modeling in Complex High-Dimensional State Space Based on Fuzzy Integral. - Jinhan Guo; Kai Li 022; Hanhui Li; Wenxiang Liu; Zeming Zhuang; Yong Zhou 006; Yang Yang 001 (GLOBECOM (Workshops), 2022)

NPSR: Neural Network enabled Phase-Space Reconstruction for Wireless Channel Prediction. - Hanhui Li; Kai Li 022; Jinhan Guo; Yang Yang 001; Yong Zhou 006 (GLOBECOM (Workshops), 2022)

Actor-Critic Policy Optimization in a Large-Scale Imperfect-Information Game. - Haobo Fu; Weiming Liu 004; Shuang Wu; Yijia Wang; Tao Yang; Kai Li 022; Junliang Xing; Bin Li 025; Bo Ma; Qiang Fu 016; Wei Yang 032 (ICLR, 2022)

Greedy when Sure and Conservative when Uncertain about the Opponents. - Haobo Fu; Ye Tian; Hongxiang Yu; Weiming Liu 004; Shuang Wu; Jiechao Xiong; Ying Wen 001; Kai Li 022; Junliang Xing; Qiang Fu 016; Wei Yang 032 (ICML, 2022)

Towards a Unified Benchmark for Reinforcement Learning in Sparse Reward Environments. - Yongxin Kang; Enmin Zhao; Yifan Zang 001; Kai Li 022; Junliang Xing (ICONIP (4), 2022)

L2E: Learning to Exploit Your Opponent. - Zhe Wu; Kai Li 022; Hang Xu 006; Yifan Zang 001; Bo An 001; Junliang Xing (IJCNN, 2022)

Multiagent Q-learning with Sub-Team Coordination. - Wenhan Huang; Kai Li 022; Kun Shao; Tianze Zhou; Matthew E. Taylor; Jun Luo 009; Dongge Wang 001; Hangyu Mao; Jianye Hao; Jun Wang 012; Xiaotie Deng (NeurIPS, 2022)

Multi-Agent Feedback Enabled Neural Networks for Intelligent Communications. - Fanglei Sun; Yang Li 116; Ying Wen 001; Jingchen Hu; Jun Wang 012; Yang Yang 001; Kai Li 022 (IEEE Trans. Wirel. Commun., 2022)

Sequential Cooperative Multi-Agent Reinforcement Learning. - Yifan Zang 001; Jinmin He; Kai Li 022; Haobo Fu; Qiang Fu 016; Junliang Xing (AAMAS, 2023)

Modeling of Diverse Computing Requirements in Azure Task Traces. - Mulei Ma; Chenyu Gong; Yang Yang 001; Yue Gao 001; Kai Li 022 (ICC Workshops, 2023)

Pseudo Value Network Distillation for High-Performance Exploration. - Enmin Zhao; Junliang Xing; Kai Li 022; Yongxin Kang; Pin Tao (IJCNN, 2023)

Automatic Grouping for Efficient Cooperative Multi-Agent Reinforcement Learning. - Yifan Zang 001; Jinmin He; Kai Li 022; Haobo Fu; Qiang Fu 016; Junliang Xing; Jian Cheng 001 (NeurIPS, 2023)

DiffCR: A Fast Conditional Diffusion Framework for Cloud Removal from Optical Satellite Images. - Xuechao Zou; Kai Li 022; Junliang Xing; Yu Zhang 165; Shiying Wang; Lei Jin 003; Pin Tao (CoRR, 2023)

Not All Tasks Are Equally Difficult: Multi-Task Reinforcement Learning with Dynamic Depth Routing. - Jinmin He; Kai Li 022; Yifan Zang 001; Haobo Fu; Qiang Fu 016; Junliang Xing; Jian Cheng 001 (CoRR, 2023)

6G Network AI Architecture for Everyone-Centric Customized Services. - Yang Yang 001; Mulei Ma; Hequan Wu; Quan Yu; Xiaohu You 001; Jianjun Wu; Chenghui Peng; Tak-Shing Peter Yum; A. Hamid Aghvami; Geoffrey Ye Li; Jiangzhou Wang; Guangyi Liu 001; et al. (IEEE Netw., 2023)

Multiagent Gumbel MuZero: Efficient Planning in Combinatorial Action Spaces. - Xiaotian Hao; Jianye Hao; Chenjun Xiao; Kai Li 022; Dong Li 016; Yan Zheng 002 (AAAI, 2024)

Not All Tasks Are Equally Difficult: Multi-Task Deep Reinforcement Learning with Dynamic Depth Routing. - Jinmin He; Kai Li 022; Yifan Zang 001; Haobo Fu; Qiang Fu 016; Junliang Xing; Jian Cheng 001 (AAAI, 2024)

Towards Offline Opponent Modeling with In-context Learning. - Yuheng Jing; Kai Li 022; Bingyun Liu; Yifan Zang 001; Haobo Fu; Qiang Fu 016; Junliang Xing; Jian Cheng 001 (ICLR, 2024)

Dynamic Discounted Counterfactual Regret Minimization. - Hang Xu 006; Kai Li 022; Haobo Fu; Qiang Fu 016; Junliang Xing; Jian Cheng 001 (ICLR, 2024)

Minimizing Weighted Counterfactual Regret with Optimistic Online Mirror Descent. - Hang Xu 006; Kai Li 022; Bingyun Liu; Haobo Fu; Qiang Fu 016; Junliang Xing; Jian Cheng 001 (IJCAI, 2024)

Efficient Multi-task Reinforcement Learning with Cross-Task Policy Guidance. - Jinmin He; Kai Li 022; Yifan Zang 001; Haobo Fu; Qiang Fu 016; Junliang Xing; Jian Cheng 001 (NeurIPS, 2024)

Opponent Modeling with In-context Search. - Yuheng Jing; Bingyun Liu; Kai Li 022; Yifan Zang 001; Haobo Fu; Qiang Fu 016; Junliang Xing; Jian Cheng 001 (NeurIPS, 2024)

Selection Strategy Based on Proper Pareto Optimality in Evolutionary Multi-objective Optimization. - Kai Li 022; Kangnian Lin; Ruihao Zheng; Zhenkun Wang 001 (PPSN (4), 2024)

Automatically designing counterfactual regret minimization algorithms for solving imperfect-information games. - Kai Li 022; Hang Xu 006; Haobo Fu; Qiang Fu 016; Junliang Xing (Artif. Intell., 2024)

Diverse Policies Recovering via Pointwise Mutual Information Weighted Imitation Learning. - Hanlin Yang; Jian Yao 008; Weiming Liu 004; Qing Wang; Hanmin Qin; Hansheng Kong; Kirk Tang; Jiechao Xiong; Chao Yu 004; Kai Li 022; Junliang Xing; Hongwu Chen; et al. (CoRR, 2024)

LLM4AD: A Platform for Algorithm Design with Large Language Model. - Fei Liu 044; Rui Zhang 042; Zhuoliang Xie; Rui Sun; Kai Li 022; Xi Lin 001; Zhenkun Wang 001; Zhichao Lu; Qinyu Zhang 001 (CoRR, 2024)

Sample Efficient Reinforcement Learning Using Graph-Based Memory Reconstruction. - Yongxin Kang; Enmin Zhao; Yifan Zang 001; Lijuan Li 002; Kai Li 022; Pin Tao; Junliang Xing (IEEE Trans. Artif. Intell., 2024)

Cooperative Multiagent Transfer Learning With Coalition Pattern Decomposition. - Tianze Zhou; Fubiao Zhang; Kun Shao; Zipeng Dai; Kai Li 022; Wenhan Huang; Weixun Wang; Bin Wang 034; Dong Li 016; Wulong Liu; Jianye Hao (IEEE Trans. Games, 2024)

Self-Supervised MAFENN for Classifying Low-Labeled Distorted Images Over Mobile Fading Channels. - Yang Li 116; Fanglei Sun; Jingchen Hu; Chang Liu; Fan Wu 006; Kai Li 022; Ying Wen 001; Zheng Tian 002; Yaodong Yang 001; Jiangcheng Zhu; Zhifeng Chen; Jun Wang 012; et al. (IEEE Trans. Mob. Comput., 2024)

OpenHoldem: A Benchmark for Large-Scale Imperfect-Information Game Research. - Kai Li 022; Hang Xu 006; Enmin Zhao; Zhe Wu; Junliang Xing (IEEE Trans. Neural Networks Learn. Syst., 2024)

An Open-Ended Learning Framework for Opponent Modeling. - Yuheng Jing; Kai Li 022; Bingyun Liu; Haobo Fu; Qiang Fu 016; Junliang Xing; Jian Cheng 001 (AAAI, 2025)

Diverse Policies Recovering via Pointwise Mutual Information Weighted Imitation Learning. - Hanlin Yang; Jian Yao 008; Weiming Liu 004; Qing Wang; Hanmin Qin; Hansheng Kong; Kirk Tang; Jiechao Xiong; Chao Yu 004; Kai Li 022; Junliang Xing; Hongwu Chen; et al. (ICLR, 2025)

Synergizing Reinforcement Learning and Genetic Algorithms for Neural Combinatorial Optimization. - Shengda Gu; Kai Li 022; Junliang Xing; Yifan Zhang 001; Jian Cheng 001 (CoRR, 2025)

Goal-Oriented Skill Abstraction for Offline Multi-Task Reinforcement Learning. - Jinmin He; Kai Li 022; Yifan Zang 001; Haobo Fu; Qiang Fu 016; Junliang Xing; Jian Cheng 001 (CoRR, 2025)

DHEvo: Data-Algorithm Based Heuristic Evolution for Generalizable MILP Solving. - Zhihao Zhang; Siyuan Li 003; Chenxi Li; Feifan Liu; Mengjing Chen; Kai Li 022; Tao Zhong; Bo An 001; Peng Liu 008 (CoRR, 2025)

Multi-Objective Infeasibility Diagnosis for Routing Problems Using Large Language Models. - Kai Li 022; Ruihao Zheng; Xinye Hao; Zhenkun Wang 001 (CoRR, 2025)