Lanxiao Huang - RankMe

33 papers A* 8B 1C 1Misc 1Journal 20Unranked 2

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Pareto-guided Pipeline for Distilling Featherweight AI Agents in Mobile MOBA Games. CoRR Xionghui Yang, Bozhou Chen, Yunlong Lu, Yongyi Wang, Lingfeng Li, Lanxiao Huang, Lin Liu, Wenjun Wang, Meng Meng, Xia Lin, Wenxin Li
2025	A*	`conf`	From Capabilities to Performance: Evaluating Key Functional Properties of LLM Architectures in Penetration Testing. EMNLP Lanxiao Huang, Daksh Dave, Tyler Cody, Peter A. Beling, Ming Jin
2025	J	`jnl`	From Capabilities to Performance: Evaluating Key Functional Properties of LLM Architectures in Penetration Testing. CoRR Lanxiao Huang, Daksh Dave, Ming Jin, Tyler Cody, Peter A. Beling
2025	J	`jnl`	Mini Honor of Kings: A Lightweight Environment for Multiagent Reinforcement Learning. IEEE Trans. Games Lin Liu, Jian Zhao, Cheng Hu, Zhengtao Cao, Youpeng Zhao, Zhenbin Ye, Meng Meng, Wenjun Wang, Zhaofeng He, Houqiang Li, Xia Lin, Lanxiao Huang
2024	J	`jnl`	Discovering Command and Control Channels Using Reinforcement Learning. CoRR Cheng Wang, Akshay Kakkar, Christopher Redino, Abdul Rahman, Ajinsyam S, Ryan Clark, Daniel Radke, Tyler Cody, Lanxiao Huang, Edward Bowen
2024	A*	`conf`	Enhancing Human Experience in Human-Agent Collaboration: A Human-Centered Modeling Approach Based on Positive Human Gain. ICLR Yiming Gao, Feiyu Liu, Liang Wang, Dehua Zheng, Zhenjie Lian, Weixuan Wang, Wenjin Yang, Siqin Li, Xianliang Wang, Wenhui Chen, Jing Dai, Qiang Fu, Wei Yang, Lanxiao Huang, Wei Liu
2024	J	`jnl`	Enhancing Human Experience in Human-Agent Collaboration: A Human-Centered Modeling Approach Based on Positive Human Gain. CoRR Yiming Gao, Feiyu Liu, Liang Wang, Zhenjie Lian, Dehua Zheng, Weixuan Wang, Wenjin Yang, Siqin Li, Xianliang Wang, Wenhui Chen, Jing Dai, Qiang Fu, Wei Yang, Lanxiao Huang, Wei Liu
2024	J	`jnl`	Hokoff: Real Game Dataset from Honor of Kings and its Offline Reinforcement Learning Benchmarks. CoRR Yun Qu, Boyuan Wang, Jianzhun Shao, Yuhang Jiang, Chen Chen, Zhenbin Ye, Lin Liu, Junfeng Yang, Lin Lai, Hongyang Qin, Minwen Deng, Juchao Zhuo, Deheng Ye, Qiang Fu, Wei Yang, Guang Yang, Lanxiao Huang, Xiangyang Ji
2024	Misc	`conf`	Leveraging Reinforcement Learning in Red Teaming for Advanced Ransomware Attack Simulations. CSR Cheng Wang, Christopher Redino, Ryan Clark, Abdul Rahman, Sal Aguiñaga, Sathvik Murli, Dhruv Nandakumar, Roland Rao, Lanxiao Huang, Daniel Radke, Edward Bowen
2024	J	`jnl`	Leveraging Reinforcement Learning in Red Teaming for Advanced Ransomware Attack Simulations. CoRR Cheng Wang, Christopher Redino, Ryan Clark, Abdul Rahman, Sal Aguiñaga, Sathvik Murli, Dhruv Nandakumar, Roland Rao, Lanxiao Huang, Daniel Radke, Edward Bowen
2024	J	`jnl`	Mini Honor of Kings: A Lightweight Environment for Multi-Agent Reinforcement Learning. CoRR Lin Liu, Jian Zhao, Cheng Hu, Zhengtao Cao, Youpeng Zhao, Zhenbin Ye, Meng Meng, Wenjun Wang, Zhaofeng He, Houqiang Li, Xia Lin, Lanxiao Huang
2024	—	`conf`	Multi-agent Multi-game Entity Transformer: Towards Generalist Models in MARL. DAI Rundong Wang, Weixuan Wang, Xianhan Zeng, Liang Wang, Zhengjie Liang, Yiming Gao, Feiyu Liu, Siqin Li, Xianliang Wang, Qiang Fu, Wei Yang, Lanxiao Huang, Longtao Zheng, Zinovi Rabinovich, Bo An
2024	J	`jnl`	RL-LLM-DT: An Automatic Decision Tree Generation Method Based on RL Evaluation and LLM Enhancement. CoRR Junjie Lin, Jian Zhao, Lin Liu, Yue Deng, Youpeng Zhao, Lanxiao Huang, Xia Lin, Wengang Zhou, Houqiang Li
2024	J	`jnl`	SimsChat: A Customisable Persona-Driven Role-Playing Agent. CoRR Bohao Yang, Dong Liu, Chen Tang, Chenghao Xiao, Kun Zhao, Chao Li, Lin Yuan, Guang Yang, Lanxiao Huang, Chenghua Lin
2023	A*	`conf`	Hokoff: Real Game Dataset from Honor of Kings and its Offline Reinforcement Learning Benchmarks. NeurIPS Yun Qu, Boyuan Wang, Jianzhun Shao, Yuhang Jiang, Chen Chen, Zhenbin Ye, Lin Liu, Yang Feng, Lin Lai, Hongyang Qin, Minwen Deng, Juchao Zhuo, Deheng Ye, Qiang Fu, Yang Guang, Wei Yang, Lanxiao Huang, Xiangyang Ji
2023	A*	`conf`	Towards Effective and Interpretable Human-Agent Collaboration in MOBA Games: A Communication Perspective. ICLR Yiming Gao, Feiyu Liu, Liang Wang, Zhenjie Lian, Weixuan Wang, Siqin Li, Xianliang Wang, Xianhan Zeng, Rundong Wang, Jiawei Wang, Qiang Fu, Wei Yang, Lanxiao Huang, Wei Liu
2023	J	`jnl`	Towards Effective and Interpretable Human-Agent Collaboration in MOBA Games: A Communication Perspective. CoRR Yiming Gao, Feiyu Liu, Liang Wang, Zhenjie Lian, Weixuan Wang, Siqin Li, Xianliang Wang, Xianhan Zeng, Rundong Wang, Jiawei Wang, Qiang Fu, Wei Yang, Lanxiao Huang, Wei Liu
2022	—	`conf`	Discovering Exfiltration Paths Using Reinforcement Learning with Attack Graphs. DSC Tyler Cody, Abdul Rahman, Christopher Redino, Lanxiao Huang, Ryan Clark, Akshay Kakkar, Deepak Kushwaha, Paul Park, Peter A. Beling, Edward Bowen
2022	J	`jnl`	Discovering Exfiltration Paths Using Reinforcement Learning with Attack Graphs. CoRR Tyler Cody, Abdul Rahman, Christopher Redino, Lanxiao Huang, Ryan Clark, Akshay Kakkar, Deepak Kushwaha, Paul Park, Peter A. Beling, Edward Bowen
2022	C	`conf`	Exposing Surveillance Detection Routes via Reinforcement Learning, Attack Graphs, and Cyber Terrain. ICMLA Lanxiao Huang, Tyler Cody, Christopher Redino, Abdul Rahman, Akshay Kakkar, Deepak Kushwaha, Cheng Wang, Ryan Clark, Daniel Radke, Peter A. Beling, Edward Bowen
2022	J	`jnl`	Exposing Surveillance Detection Routes via Reinforcement Learning, Attack Graphs, and Cyber Terrain. CoRR Lanxiao Huang, Tyler Cody, Christopher Redino, Abdul Rahman, Akshay Kakkar, Deepak Kushwaha, Cheng Wang, Ryan Clark, Daniel Radke, Peter A. Beling, Edward Bowen
2022	A*	`conf`	Honor of Kings Arena: an Environment for Generalization in Competitive Reinforcement Learning. NeurIPS Hua Wei, Jingxiao Chen, Xiyang Ji, Hongyang Qin, Minwen Deng, Siqin Li, Liang Wang, Weinan Zhang, Yong Yu, Liu Lin, Lanxiao Huang, Deheng Ye, Qiang Fu, Wei Yang
2022	J	`jnl`	Honor of Kings Arena: an Environment for Generalization in Competitive Reinforcement Learning. CoRR Hua Wei, Jingxiao Chen, Xiyang Ji, Hongyang Qin, Minwen Deng, Siqin Li, Liang Wang, Weinan Zhang, Yong Yu, Lin Liu, Lanxiao Huang, Deheng Ye, Qiang Fu, Wei Yang
2022	B	`conf`	MCS: An In-battle Commentary System for MOBA Games. COLING Xiaofeng Qi, Chao Li, Zhongping Liang, Jigang Liu, Cheng Zhang, Yuanxin Wei, Lin Yuan, Guang Yang, Lanxiao Huang, Min Li
2022	J	`jnl`	Supervised Learning Achieves Human-Level Performance in MOBA Games: A Case Study of Honor of Kings. IEEE Trans. Neural Networks Learn. Syst. Deheng Ye, Guibin Chen, Peilin Zhao, Fuhao Qiu, Bo Yuan, Wen Zhang, Sheng Chen, Mingfei Sun, Xiaoqian Li, Siqin Li, Jing Liang, Zhenjie Lian, Bei Shi, Liang Wang, Tengfei Shi, Qiang Fu, Wei Yang, Lanxiao Huang
2021	J	`jnl`	GUX-Analyzer: A Deep Multi-modal Analyzer Via Motivational Flow For Game User Experience. CoRR Zhitao Liu, Ning Xie, Guobiao Yang, Jiale Dou, Lanxiao Huang, Guang Yang, Lin Yuan
2021	A*	`conf`	Learning Diverse Policies in MOBA Games via Macro-Goals. NeurIPS Yiming Gao, Bei Shi, Xueying Du, Liang Wang, Guangwei Chen, Zhenjie Lian, Fuhao Qiu, Guoan Han, Weixuan Wang, Deheng Ye, Qiang Fu, Wei Yang, Lanxiao Huang
2021	J	`jnl`	Learning Diverse Policies in MOBA Games via Macro-Goals. CoRR Yiming Gao, Bei Shi, Xueying Du, Liang Wang, Guangwei Chen, Zhenjie Lian, Fuhao Qiu, Guoan Han, Weixuan Wang, Deheng Ye, Qiang Fu, Wei Yang, Lanxiao Huang
2020	A*	`conf`	Mastering Complex Control in MOBA Games with Deep Reinforcement Learning. AAAI Deheng Ye, Zhao Liu, Mingfei Sun, Bei Shi, Peilin Zhao, Hao Wu, Hongsheng Yu, Shaojie Yang, Xipeng Wu, Qingwei Guo, Qiaobo Chen, Yinyuting Yin, Hao Zhang, Tengfei Shi, Liang Wang, Qiang Fu, Wei Yang, Lanxiao Huang
2020	J	`jnl`	Supervised Learning Achieves Human-Level Performance in MOBA Games: A Case Study of Honor of Kings. CoRR Deheng Ye, Guibin Chen, Peilin Zhao, Fuhao Qiu, Bo Yuan, Wen Zhang, Sheng Chen, Mingfei Sun, Xiaoqian Li, Siqin Li, Jing Liang, Zhenjie Lian, Bei Shi, Liang Wang, Tengfei Shi, Qiang Fu, Wei Yang, Lanxiao Huang
2020	A*	`conf`	Towards Playing Full MOBA Games with Deep Reinforcement Learning. NeurIPS Deheng Ye, Guibin Chen, Wen Zhang, Sheng Chen, Bo Yuan, Bo Liu, Jia Chen, Zhao Liu, Fuhao Qiu, Hongsheng Yu, Yinyuting Yin, Bei Shi, Liang Wang, Tengfei Shi, Qiang Fu, Wei Yang, Lanxiao Huang, Wei Liu
2020	J	`jnl`	Towards Playing Full MOBA Games with Deep Reinforcement Learning. CoRR Deheng Ye, Guibin Chen, Wen Zhang, Sheng Chen, Bo Yuan, Bo Liu, Jia Chen, Zhao Liu, Fuhao Qiu, Hongsheng Yu, Yinyuting Yin, Bei Shi, Liang Wang, Tengfei Shi, Qiang Fu, Wei Yang, Lanxiao Huang, Wei Liu
2019	J	`jnl`	Mastering Complex Control in MOBA Games with Deep Reinforcement Learning. CoRR Deheng Ye, Zhao Liu, Mingfei Sun, Bei Shi, Peilin Zhao, Hao Wu, Hongsheng Yu, Shaojie Yang, Xipeng Wu, Qingwei Guo, Qiaobo Chen, Yinyuting Yin, Hao Zhang, Tengfei Shi, Liang Wang, Qiang Fu, Wei Yang, Lanxiao Huang