Kai Li - RankMe

79 papers A* 22A 2B 9C 3Journal 33Unranked 10

Year	Rank	Type	Title / Venue / Authors
2026	A*	`conf`	Deep (Predictive) Discounted Counterfactual Regret Minimization. AAAI Hang Xu, Kai Li, Haobo Fu, Qiang Fu, Junliang Xing, Jian Cheng
2026	J	`jnl`	Game-Theoretic Co-Evolution for LLM-Based Heuristic Discovery. CoRR Xinyi Ke, Kai Li, Junliang Xing, Yifan Zhang, Jian Cheng
2026	J	`jnl`	K^2-Agent: Co-Evolving Know-What and Know-How for Hierarchical Mobile Device Control. CoRR Zhe Wu, Donglin Mo, Hongjin Lu, Junliang Xing, Jianheng Liu, Yuheng Jing, Kai Li, Kun Shao, Jianye Hao, Yuanchun Shi
2026	J	`jnl`	Timely Requesting for Time-Critical Content Users in Decentralized F-RANs. IEEE Trans. Netw. Xingran Chen, Kai Li, Kun Yang
2025	A*	`conf`	An Open-Ended Learning Framework for Opponent Modeling. AAAI Yuheng Jing, Kai Li, Bingyun Liu, Haobo Fu, Qiang Fu, Junliang Xing, Jian Cheng
2025	J	`jnl`	Automatic Operator-level Parallelism Planning for Distributed Deep Learning - A Mixed-Integer Programming Approach. CoRR Ruifeng She, Bowen Pang, Kai Li, Zehua Liu, Tao Zhong
2025	J	`jnl`	DHEvo: Data-Algorithm Based Heuristic Evolution for Generalizable MILP Solving. CoRR Zhihao Zhang, Siyuan Li, Chenxi Li, Feifan Liu, Mengjing Chen, Kai Li, Tao Zhong, Bo An, Peng Liu
2025	J	`jnl`	Deep (Predictive) Discounted Counterfactual Regret Minimization. CoRR Hang Xu, Kai Li, Haobo Fu, Qiang Fu, Junliang Xing, Jian Cheng
2025	A*	`conf`	Diverse Policies Recovering via Pointwise Mutual Information Weighted Imitation Learning. ICLR Hanlin Yang, Jian Yao, Weiming Liu, Qing Wang, Hanmin Qin, Hansheng Kong, Kirk Tang, Jiechao Xiong, Chao Yu, Kai Li, Junliang Xing, Hongwu Chen, Juchao Zhuo, Qiang Fu, Yang Wei, Haobo Fu
2025	J	`jnl`	DrSR: LLM based Scientific Equation Discovery with Dual Reasoning from Data and Experience. CoRR Runxiang Wang, Boxiao Wang, Kai Li, Yifan Zhang, Jian Cheng
2025	J	`jnl`	Efficient Multi-Task Reinforcement Learning with Cross-Task Policy Guidance. CoRR Jinmin He, Kai Li, Yifan Zang, Haobo Fu, Qiang Fu, Junliang Xing, Jian Cheng
2025	A*	`conf`	Goal-Oriented Skill Abstraction for Offline Multi-Task Reinforcement Learning. ICML Jinmin He, Kai Li, Yifan Zang, Haobo Fu, Qiang Fu, Junliang Xing, Jian Cheng
2025	J	`jnl`	Goal-Oriented Skill Abstraction for Offline Multi-Task Reinforcement Learning. CoRR Jinmin He, Kai Li, Yifan Zang, Haobo Fu, Qiang Fu, Junliang Xing, Jian Cheng
2025	J	`jnl`	Multi-Objective Infeasibility Diagnosis for Routing Problems Using Large Language Models. CoRR Kai Li, Ruihao Zheng, Xinye Hao, Zhenkun Wang
2025	A*	`conf`	Offline Opponent Modeling with Truncated Q-driven Instant Policy Refinement. ICML Yuheng Jing, Kai Li, Bingyun Liu, Ziwen Zhang, Haobo Fu, Qiang Fu, Junliang Xing, Jian Cheng
2025	B	`conf`	Pattern Extraction Learning for Cooperative Multi-Agent Reinforcement Learning. IJCNN Yifan Zang, Jinmin He, Kai Li, Junliang Xing, Jian Cheng
2025	J	`jnl`	Synergizing Reinforcement Learning and Genetic Algorithms for Neural Combinatorial Optimization. CoRR Shengda Gu, Kai Li, Junliang Xing, Yifan Zhang, Jian Cheng
2024	J	`jnl`	Automatically designing counterfactual regret minimization algorithms for solving imperfect-information games. Artif. Intell. Kai Li, Hang Xu, Haobo Fu, Qiang Fu, Junliang Xing
2024	J	`jnl`	Cooperative Multiagent Transfer Learning With Coalition Pattern Decomposition. IEEE Trans. Games Tianze Zhou, Fubiao Zhang, Kun Shao, Zipeng Dai, Kai Li, Wenhan Huang, Weixun Wang, Bin Wang, Dong Li, Wulong Liu, Jianye Hao
2024	J	`jnl`	Diverse Policies Recovering via Pointwise Mutual Information Weighted Imitation Learning. CoRR Hanlin Yang, Jian Yao, Weiming Liu, Qing Wang, Hanmin Qin, Hansheng Kong, Kirk Tang, Jiechao Xiong, Chao Yu, Kai Li, Junliang Xing, Hongwu Chen, Juchao Zhuo, Qiang Fu, Wei Yang, Haobo Fu
2024	A*	`conf`	Dynamic Discounted Counterfactual Regret Minimization. ICLR Hang Xu, Kai Li, Haobo Fu, Qiang Fu, Junliang Xing, Jian Cheng
2024	A*	`conf`	Efficient Multi-task Reinforcement Learning with Cross-Task Policy Guidance. NeurIPS Jinmin He, Kai Li, Yifan Zang, Haobo Fu, Qiang Fu, Junliang Xing, Jian Cheng
2024	J	`jnl`	LLM4AD: A Platform for Algorithm Design with Large Language Model. CoRR Fei Liu, Rui Zhang, Zhuoliang Xie, Rui Sun, Kai Li, Xi Lin, Zhenkun Wang, Zhichao Lu, Qinyu Zhang
2024	A*	`conf`	Minimizing Weighted Counterfactual Regret with Optimistic Online Mirror Descent. IJCAI Hang Xu, Kai Li, Bingyun Liu, Haobo Fu, Qiang Fu, Junliang Xing, Jian Cheng
2024	J	`jnl`	Minimizing Weighted Counterfactual Regret with Optimistic Online Mirror Descent. CoRR Hang Xu, Kai Li, Bingyun Liu, Haobo Fu, Qiang Fu, Junliang Xing, Jian Cheng
2024	A*	`conf`	Multiagent Gumbel MuZero: Efficient Planning in Combinatorial Action Spaces. AAAI Xiaotian Hao, Jianye Hao, Chenjun Xiao, Kai Li, Dong Li, Yan Zheng
2024	A*	`conf`	Not All Tasks Are Equally Difficult: Multi-Task Deep Reinforcement Learning with Dynamic Depth Routing. AAAI Jinmin He, Kai Li, Yifan Zang, Haobo Fu, Qiang Fu, Junliang Xing, Jian Cheng
2024	J	`jnl`	OpenHoldem: A Benchmark for Large-Scale Imperfect-Information Game Research. IEEE Trans. Neural Networks Learn. Syst. Kai Li, Hang Xu, Enmin Zhao, Zhe Wu, Junliang Xing
2024	A*	`conf`	Opponent Modeling with In-context Search. NeurIPS Yuheng Jing, Bingyun Liu, Kai Li, Yifan Zang, Haobo Fu, Qiang Fu, Junliang Xing, Jian Cheng
2024	J	`jnl`	Sample Efficient Reinforcement Learning Using Graph-Based Memory Reconstruction. IEEE Trans. Artif. Intell. Yongxin Kang, Enmin Zhao, Yifan Zang, Lijuan Li, Kai Li, Pin Tao, Junliang Xing
2024	—	`conf`	Selection Strategy Based on Proper Pareto Optimality in Evolutionary Multi-objective Optimization. PPSN (4) Kai Li, Kangnian Lin, Ruihao Zheng, Zhenkun Wang
2024	J	`jnl`	Self-Supervised MAFENN for Classifying Low-Labeled Distorted Images Over Mobile Fading Channels. IEEE Trans. Mob. Comput. Yang Li, Fanglei Sun, Jingchen Hu, Chang Liu, Fan Wu, Kai Li, Ying Wen, Zheng Tian, Yaodong Yang, Jiangcheng Zhu, Zhifeng Chen, Jun Wang, Yang Yang
2024	A*	`conf`	Towards Offline Opponent Modeling with In-context Learning. ICLR Yuheng Jing, Kai Li, Bingyun Liu, Yifan Zang, Haobo Fu, Qiang Fu, Junliang Xing, Jian Cheng
2023	J	`jnl`	6G Network AI Architecture for Everyone-Centric Customized Services. IEEE Netw. Yang Yang, Mulei Ma, Hequan Wu, Quan Yu, Xiaohu You, Jianjun Wu, Chenghui Peng, Tak-Shing Peter Yum, A. Hamid Aghvami, Geoffrey Ye Li, Jiangzhou Wang, Guangyi Liu, Peng Gao, Xiongyan Tang, Chang Cao, John S. Thompson, Kai-Kit Wong, Shanzhi Chen, Zhiqin Wang, Mérouane Debbah, Schahram Dustdar, Frank Eliassen, Tao Chen, Xiangyang Duan, Shaohui Sun, Xiaofeng Tao, Qinyu Zhang, Jianwei Huang, Wenjun Zhang, Jie Li, Yue Gao, Honggang Zhang, Xu Chen, Xiaohu Ge, Yong Xiao, Cheng-Xiang Wang, Zaichen Zhang, Song Ci, Guoqiang Mao, Changle Li, Ziyu Shao, Yong Zhou, Junrui Liang, Kai Li, Liantao Wu, Fanglei Sun, Kunlun Wang, Zening Liu, Kun Yang, Jun Wang, Teng Gao, Hongfeng Shu
2023	A*	`conf`	Automatic Grouping for Efficient Cooperative Multi-Agent Reinforcement Learning. NeurIPS Yifan Zang, Jinmin He, Kai Li, Haobo Fu, Qiang Fu, Junliang Xing, Jian Cheng
2023	J	`jnl`	DiffCR: A Fast Conditional Diffusion Framework for Cloud Removal from Optical Satellite Images. CoRR Xuechao Zou, Kai Li, Junliang Xing, Yu Zhang, Shiying Wang, Lei Jin, Pin Tao
2023	—	`conf`	Modeling of Diverse Computing Requirements in Azure Task Traces. ICC Workshops Mulei Ma, Chenyu Gong, Yang Yang, Yue Gao, Kai Li
2023	J	`jnl`	Not All Tasks Are Equally Difficult: Multi-Task Reinforcement Learning with Dynamic Depth Routing. CoRR Jinmin He, Kai Li, Yifan Zang, Haobo Fu, Qiang Fu, Junliang Xing, Jian Cheng
2023	B	`conf`	Pseudo Value Network Distillation for High-Performance Exploration. IJCNN Enmin Zhao, Junliang Xing, Kai Li, Yongxin Kang, Pin Tao
2023	A	`conf`	Sequential Cooperative Multi-Agent Reinforcement Learning. AAMAS Yifan Zang, Jinmin He, Kai Li, Haobo Fu, Qiang Fu, Junliang Xing
2022	A*	`conf`	Actor-Critic Policy Optimization in a Large-Scale Imperfect-Information Game. ICLR Haobo Fu, Weiming Liu, Shuang Wu, Yijia Wang, Tao Yang, Kai Li, Junliang Xing, Bin Li, Bo Ma, Qiang Fu, Wei Yang
2022	A*	`conf`	AlphaHoldem: High-Performance Artificial Intelligence for Heads-Up No-Limit Poker via End-to-End Reinforcement Learning. AAAI Enmin Zhao, Renye Yan, Jinqiu Li, Kai Li, Junliang Xing
2022	A*	`conf`	AutoCFR: Learning to Design Counterfactual Regret Minimization Algorithms. AAAI Hang Xu, Kai Li, Haobo Fu, Qiang Fu, Junliang Xing
2022	C	`conf`	DBM: Delay-sensitive Buffering Mechanism for DNN Offloading Services. APCC Guoliang Gao, Liantao Wu, Yang Yang, Kai Li
2022	A*	`conf`	Greedy when Sure and Conservative when Uncertain about the Opponents. ICML Haobo Fu, Ye Tian, Hongxiang Yu, Weiming Liu, Shuang Wu, Jiechao Xiong, Ying Wen, Kai Li, Junliang Xing, Qiang Fu, Wei Yang
2022	B	`conf`	L2E: Learning to Exploit Your Opponent. IJCNN Zhe Wu, Kai Li, Hang Xu, Yifan Zang, Bo An, Junliang Xing
2022	—	`conf`	Markov State Transition Modeling in Complex High-Dimensional State Space Based on Fuzzy Integral. GLOBECOM (Workshops) Jinhan Guo, Kai Li, Hanhui Li, Wenxiang Liu, Zeming Zhuang, Yong Zhou, Yang Yang
2022	J	`jnl`	Multi-Agent Feedback Enabled Neural Networks for Intelligent Communications. CoRR Fanglei Sun, Yang Li, Ying Wen, Jingchen Hu, Jun Wang, Yang Yang, Kai Li
2022	J	`jnl`	Multi-Agent Feedback Enabled Neural Networks for Intelligent Communications. IEEE Trans. Wirel. Commun. Fanglei Sun, Yang Li, Ying Wen, Jingchen Hu, Jun Wang, Yang Yang, Kai Li
2022	A	`conf`	Multiagent Q-learning with Sub-Team Coordination. AAMAS Wenhan Huang, Kai Li, Kun Shao, Tianze Zhou, Jun Luo, Dongge Wang, Hangyu Mao, Jianye Hao, Jun Wang, Xiaotie Deng
2022	A*	`conf`	Multiagent Q-learning with Sub-Team Coordination. NeurIPS Wenhan Huang, Kai Li, Kun Shao, Tianze Zhou, Matthew E. Taylor, Jun Luo, Dongge Wang, Hangyu Mao, Jianye Hao, Jun Wang, Xiaotie Deng
2022	—	`conf`	NPSR: Neural Network enabled Phase-Space Reconstruction for Wireless Channel Prediction. GLOBECOM (Workshops) Hanhui Li, Kai Li, Jinhan Guo, Yang Yang, Yong Zhou
2022	—	`conf`	Towards a Unified Benchmark for Reinforcement Learning in Sparse Reward Environments. ICONIP (4) Yongxin Kang, Enmin Zhao, Yifan Zang, Kai Li, Junliang Xing
2021	—	`conf`	Adaptive Multi-objective Reinforcement Learning for Pareto Frontier Approximation: A Case Study of Resource Allocation Network in Massive MIMO. EUSIPCO Ruiqing Chen, Fanglei Sun, Liang Chen, Kai Li, Liantao Wu, Jun Wang, Yang Yang
2021	J	`jnl`	Cooperative Multi-Agent Transfer Learning with Level-Adaptive Credit Assignment. CoRR Tianze Zhou, Fubiao Zhang, Kun Shao, Kai Li, Wenhan Huang, Jun Luo, Weixun Wang, Yaodong Yang, Hangyu Mao, Bin Wang, Dong Li, Wulong Liu, Jianye Hao
2021	J	`jnl`	DRESIA: Deep Reinforcement Learning-Enabled Gray Box Approach for Large-Scale Dynamic Cyber-Twin System Simulation. IEEE Open J. Comput. Soc. Zhouyang Lin, Kai Li, Yang Yang, Fanglei Sun, Liantao Wu, Panpan Shi, Song Ci, Yong Zuo
2021	—	`conf`	Deep Reinforcement Learning for Resource Allocation in Massive MIMO. EUSIPCO Liang Chen, Fanglei Sun, Kai Li, Ruiqing Chen, Yang Yang, Jun Wang
2021	A*	`conf`	Exploration via State influence Modeling. AAAI Yongxin Kang, Enmin Zhao, Kai Li, Junliang Xing
2021	B	`conf`	FSST: Frequency-Space Signal Transformation of Massive MIMO Channels. GLOBECOM Lei Zhu, Guoliang Gao, Kai Li, Yang Yang, Liantao Wu, Fanglei Sun
2021	J	`jnl`	L2E: Learning to Exploit Your Opponent. CoRR Zhe Wu, Kai Li, Enmin Zhao, Hang Xu, Meng Zhang, Haobo Fu, Bo An, Junliang Xing
2021	B	`conf`	Learning to Play Hard Exploration Games Using Graph-Guided Self-Navigation. IJCNN Enmin Zhao, Renye Yan, Kai Li, Lijuan Li, Junliang Xing
2021	B	`conf`	MAFENN: Multi-Agent Feedback Enabled Neural Network for Wireless Channel Equalization. GLOBECOM Yang Li, Fanglei Sun, Weiqin Zu, Wenbin Song, Ying Wen, Jun Wang, Yang Yang, Kai Li, Liantao Wu
2021	—	`conf`	Retrospective Thinking based Multi-Agent System for Wireless Video Transmissions. ICC Yang Li, Fanglei Sun, Wenbin Song, Ying Wen, Kai Li, Jun Wang, Yang Yang
2021	C	`conf`	SFDIC: Spatial Features Distributed Interference Coordination for Massive MIMO Systems. APCC Lei Zhu, Kai Li, Yang Yang, Liantao Wu, Fanglei Sun, Jinhan Guo, Hanhui Li
2020	J	`jnl`	DSAM: A Distance Shrinking with Angular Marginalizing Loss for High Performance Vehicle Re-identificatio. CoRR Jiangtao Kong, Yu Cheng, Benjia Zhou, Kai Li, Junliang Xing
2020	J	`jnl`	OpenHoldem: An Open Toolkit for Large-Scale Imperfect-Information Game Research. CoRR Kai Li, Hang Xu, Meng Zhang, Enmin Zhao, Zhe Wu, Junliang Xing, Kaiqi Huang
2020	A*	`conf`	Potential Driven Reinforcement Learning for Hard Exploration Tasks. IJCAI Enmin Zhao, Shihong Deng, Yifan Zang, Yongxin Kang, Kai Li, Junliang Xing
2019	—	`conf`	A Multi-tier Cost Model for Effective User Scheduling in Fog Computing Networks. INFOCOM Workshops Zening Liu, Yang Yang, Yu Chen, Kai Li, Ziqin Li, Xiliang Luo
2019	C	`conf`	Parallel Scheduling of Multiple Tasks in Heterogeneous Fog Networks. APCC Zening Liu, Kunlun Wang, Kai Li, Ming-Tuo Zhou, Yang Yang
2019	B	`conf`	Spatial Temporal Attentional Glimpse for Human Activity Classification in Video. ICIP Jiangtao Kong, Rongchao Xu, Junliang Xing, Kai Li, Wei Ma
2019	J	`jnl`	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 Kai Li, Xiaoqing Luo, Zhancheng Zhang, Jun Wang
2018	J	`jnl`	DECCO: Deep-Learning Enabled Coverage and Capacity Optimization for Massive MIMO Systems. IEEE Access Yang Yang, Yang Li, Kai Li, Shuang Zhao, Rui Chen, Jun Wang, Song Ci
2018	A*	`conf`	Deep Cost-Sensitive and Order-Preserving Feature Learning for Cross-Population Age Estimation. CVPR Kai Li, Junliang Xing, Chi Su, Weiming Hu, Yundong Zhang, Stephen J. Maybank
2017	—	`conf`	A Novel Network Optimization Method for Cooperative Massive MIMO Systems. VTC Spring Kai Li, Yang Yang, Yu Chen, Xiumei Yang, Huiyue Yi
2017	J	`jnl`	D2C: Deep cumulatively and comparatively learning for human age estimation. Pattern Recognit. Kai Li, Junliang Xing, Weiming Hu, Stephen J. Maybank
2017	J	`jnl`	Diagnosing deep learning models for high accuracy age estimation from a single image. Pattern Recognit. Junliang Xing, Kai Li, Weiming Hu, Chunfeng Yuan, Haibin Ling
2017	B	`conf`	Weakly supervised multiscale-inception learning for web-scale face recognition. ICIP Cheng Cheng, Junliang Xing, Youji Feng, Pengcheng Liu, Xiaohu Shao, Kai Li, Xiang-Dong Zhou
2016	B	`conf`	Bootstrapping deep feature hierarchy for pornographic image recognition. ICIP Kai Li, Junliang Xing, Bing Li, Weiming Hu
2015	A*	`conf`	Predicting Image Memorability by Multi-view Adaptive Regression. ACM Multimedia Houwen Peng, Kai Li, Bing Li, Haibin Ling, Weihua Xiong, Weiming Hu