Chen Chen - RankMe

34 papers A* 9A 1Journal 23Unranked 1

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	AttentionPredictor: Temporal Pattern Matters for Efficient LLM Inference. CoRR Qingyue Yang, Jie Wang, Xing Li, Zhihai Wang, Chen Chen, Lei Chen, Xianzhi Yu, Wulong Liu, Jianye Hao, Mingxuan Yuan, Bin Li
2025	J	`jnl`	Hierarchical task network-enhanced multi-agent reinforcement learning: Toward efficient cooperative strategies. Neural Networks Xuechen Mu, Hankz Hankui Zhuo, Chen Chen, Kai Zhang, Chao Yu, Jianye Hao
2025	J	`jnl`	Scaling Up, Speeding Up: A Benchmark of Speculative Decoding for Efficient LLM Test-Time Scaling. CoRR Shengyin Sun, Yiming Li, Xing Li, Yingzhao Lian, Weizhe Lin, Hui-Ling Zhen, Zhiyuan Yang, Chen Chen, Xianzhi Yu, Mingxuan Yuan, Chen Ma
2025	J	`jnl`	Towards Efficient Agents: A Co-Design of Inference Architecture and System. CoRR Weizhe Lin, Hui-Ling Zhen, Shuai Yang, Xian Wang, Renxi Liu, Hanting Chen, Wangze Zhang, Chuansai Zhou, Yiming Li, Chen Chen, Xing Li, Zhiyuan Yang, Xiaosong Li, Xianzhi Yu, Zhenhua Dong, Mingxuan Yuan, Yunhe Wang
2024	A*	`conf`	The Ladder in Chaos: Improving Policy Learning by Harnessing the Parameter Evolving Path in A Low-dimensional Space. NeurIPS Hongyao Tang, Min Zhang, Chen Chen, Jianye Hao
2023	J	`jnl`	Dynamic Ensemble of Low-fidelity Experts: Mitigating NAS "Cold-Start". CoRR Junbo Zhao, Xuefei Ning, Enshu Liu, Binxin Ru, Zixuan Zhou, Tianchen Zhao, Chen Chen, Jiajin Zhang, Qingmin Liao, Yu Wang
2023	J	`jnl`	Hierarchical Task Network Planning for Facilitating Cooperative Multi-Agent Reinforcement Learning. CoRR Xuechen Mu, Hankz Hankui Zhuo, Chen Chen, Kai Zhang, Chao Yu, Jianye Hao
2023	A*	`conf`	Models as Agents: Optimizing Multi-Step Predictions of Interactive Local Models in Model-Based Multi-Agent Reinforcement Learning. AAAI Zifan Wu, Chao Yu, Chen Chen, Jianye Hao, Hankz Hankui Zhuo
2023	J	`jnl`	Models as Agents: Optimizing Multi-Step Predictions of Interactive Local Models in Model-Based Multi-Agent Reinforcement Learning. CoRR Zifan Wu, Chao Yu, Chen Chen, Jianye Hao, Hankz Hankui Zhuo
2023	J	`jnl`	Plan To Predict: Learning an Uncertainty-Foreseeing Model for Model-Based Reinforcement Learning. CoRR Zifan Wu, Chao Yu, Chen Chen, Jianye Hao, Hankz Hankui Zhuo
2022	A*	`conf`	Creativity of AI: Automatic Symbolic Option Discovery for Facilitating Deep Reinforcement Learning. AAAI Mu Jin, Zhihao Ma, Kebing Jin, Hankz Hankui Zhuo, Chen Chen, Chao Yu
2022	A*	`conf`	Learning Pseudometric-based Action Representations for Offline Reinforcement Learning. ICML Pengjie Gu, Mengchen Zhao, Chen Chen, Dong Li, Jianye Hao, Bo An
2022	A*	`conf`	Plan To Predict: Learning an Uncertainty-Foreseeing Model For Model-Based Reinforcement Learning. NeurIPS Zifan Wu, Chao Yu, Chen Chen, Jianye Hao, Hankz Hankui Zhuo
2022	J	`jnl`	Rethinking Reinforcement Learning based Logic Synthesis. CoRR Chao Wang, Chen Chen, Dong Li, Bin Wang
2022	J	`jnl`	State-Aware Proximal Pessimistic Algorithms for Offline Reinforcement Learning. CoRR Chen Chen, Hongyao Tang, Yi Ma, Chao Wang, Qianli Shen, Dong Li, Jianye Hao
2022	A*	`conf`	What about Inputting Policy in Value Function: Policy Representation and Policy-Extended Value Function Approximator. AAAI Hongyao Tang, Zhaopeng Meng, Jianye Hao, Chen Chen, Daniel Graves, Dong Li, Changmin Yu, Hangyu Mao, Wulong Liu, Yaodong Yang, Wenyuan Tao, Li Wang
2021	A*	`conf`	Addressing Action Oscillations through Learning Policy Inertia. AAAI Chen Chen, Hongyao Tang, Jianye Hao, Wulong Liu, Zhaopeng Meng
2021	J	`jnl`	Addressing Action Oscillations through Learning Policy Inertia. CoRR Chen Chen, Hongyao Tang, Jianye Hao, Wulong Liu, Zhaopeng Meng
2021	A	`conf`	CMML: Contextual Modulation Meta Learning for Cold-Start Recommendation. CIKM Xidong Feng, Chen Chen, Dong Li, Mengchen Zhao, Jianye Hao, Jun Wang
2021	J	`jnl`	CMML: Contextual Modulation Meta Learning for Cold-Start Recommendation. CoRR Xidong Feng, Chen Chen, Dong Li, Mengchen Zhao, Jianye Hao, Jun Wang
2021	J	`jnl`	Creativity of AI: Automatic Symbolic Option Discovery for Facilitating Deep Reinforcement Learning. CoRR Mu Jin, Zhihao Ma, Kebing Jin, Hankz Hankui Zhuo, Chen Chen, Chao Yu
2021	A*	`conf`	Foresee then Evaluate: Decomposing Value Estimation with Latent Future Prediction. AAAI Hongyao Tang, Zhaopeng Meng, Guangyong Chen, Pengfei Chen, Chen Chen, Yaodong Yang, Luo Zhang, Wulong Liu, Jianye Hao
2021	J	`jnl`	Foresee then Evaluate: Decomposing Value Estimation with Latent Future Prediction. CoRR Hongyao Tang, Jianye Hao, Guangyong Chen, Pengfei Chen, Chen Chen, Yaodong Yang, Luo Zhang, Wulong Liu, Zhaopeng Meng
2021	J	`jnl`	Lifelong Reinforcement Learning with Temporal Logic Formulas and Reward Machines. CoRR Xuejing Zheng, Chao Yu, Chen Chen, Jianye Hao, Hankz Hankui Zhuo
2021	A*	`conf`	Towards Effective Context for Meta-Reinforcement Learning: an Approach based on Contrastive Learning. AAAI Haotian Fu, Hongyao Tang, Jianye Hao, Chen Chen, Xidong Feng, Dong Li, Wulong Liu
2020	—	`conf`	MGHRL: Meta Goal-Generation for Hierarchical Reinforcement Learning. DAI Haotian Fu, Hongyao Tang, Jianye Hao, Wulong Liu, Chen Chen
2020	J	`jnl`	Towards Effective Context for Meta-Reinforcement Learning: an Approach based on Contrastive Learning. CoRR Haotian Fu, Hongyao Tang, Jianye Hao, Chen Chen, Xidong Feng, Dong Li, Wulong Liu
2020	J	`jnl`	VEGA: Towards an End-to-End Configurable AutoML Pipeline. CoRR Bochao Wang, Hang Xu, Jiajin Zhang, Chen Chen, Yixing Xu, Xiaozhi Fang, Ning Kang, Lanqing Hong, Chenhan Jiang, Xinyue Cai, Jiawei Li, Fengwei Zhou, Yong Li, Zhicheng Liu, Xinghao Chen, Kai Han, Han Shu, Dehua Song, Yunhe Wang, Wei Zhang, Chunjing Xu, Zhenguo Li, Wenzhi Liu, Tong Zhang
2020	J	`jnl`	What About Taking Policy as Input of Value Function: Policy-extended Value Function Approximator. CoRR Hongyao Tang, Zhaopeng Meng, Jianye Hao, Chen Chen, Daniel Graves, Dong Li, Wulong Liu, Yaodong Yang
2017	J	`jnl`	Critical Connectivity and Fastest Convergence Rates of Distributed Consensus With Switching Topologies and Additive Noises. IEEE Trans. Autom. Control. Ge Chen, Le Yi Wang, Chen Chen, George Yin
2016	J	`jnl`	Fast Encoding of Polar Codes With Reed-Solomon Kernel. IEEE Trans. Commun. Peter Trifonov, Vera Miloslavskaya, Chen Chen, Yuangang Wang
2016	J	`jnl`	Performance bounds of distributed adaptive filters with cooperative correlated signals. Sci. China Inf. Sci. Chen Chen, Zhixin Liu, Lei Guo
2015	J	`jnl`	Consensus of flocks under J. Syst. Sci. Complex. Chen Chen, Ge Chen, Lei Guo
2015	J	`jnl`	Performance analysis of distributed adaptive filters. Commun. Inf. Syst. Chen Chen, Zhixin Liu, Lei Guo