Hao Chen - RankMe

30 papers A* 4A 2B 7Journal 15Unranked 2

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Composition-RL: Compose Your Verifiable Prompts for Reinforcement Learning of Large Language Models. CoRR Xin Xu, Clive Bai, Kai Yang, Tianlong Chen, Yangkun Chen, Weijie Liu, Hao Chen, Yang Wang, Saiyong Yang, Can Yang
2026	J	`jnl`	Progressive Residual Warmup for Language Model Pretraining. CoRR Tianlong Chen, Xin Xu, Lu Yin, Hao Chen, Yang Wang, Shizhe Diao, Can Yang
2025	A*	`conf`	Chain of Attack: On the Robustness of Vision-Language Models Against Transfer-Based Adversarial Attacks. CVPR Peng Xie, Yequan Bie, Jianda Mao, Yangqiu Song, Yang Wang, Hao Chen, Kani Chen
2025	J	`jnl`	Double-Checker: Enhancing Reasoning of Slow-Thinking LLMs via Self-Critical Fine-Tuning. CoRR Xin Xu, Tianlong Chen, Fan Zhang, Wanlong Liu, Pengxiang Li, Ajay Kumar Jaiswal, Yuchen Yan, Jishan Hu, Yang Wang, Hao Chen, Shiwei Liu, Shizhe Diao, Can Yang, Lu Yin
2025	J	`jnl`	Exploration via Embracing Diversity in Reinforcement Learning for Sparse-Reward Procedurally-Generated Tasks. IEEE Trans. Syst. Man Cybern. Syst. Pei Xu, Hao Chen, Wenjie Yang, Kaiqi Huang
2025	J	`jnl`	GPAS: Accelerating Convergence of LLM Pretraining via Gradient-Preserving Activation Scaling. CoRR Tianlong Chen, Xin Xu, Zijing Liu, Pengxiang Li, Xinyuan Song, Ajay Kumar Jaiswal, Fan Zhang, Jishan Hu, Yang Wang, Hao Chen, Shizhe Diao, Shiwei Liu, Yu Li, Yin Lu, Can Yang
2025	J	`jnl`	Multi-Channel Spatio-Temporal Data Fusion of 'Big' and 'Small' Network Data Using Transformer Networks. ISPRS Int. J. Geo Inf. Tao Cheng, Hao Chen, Xianghui Zhang, Xiaowei Gao, Lu Yin, Jianbin Jiao
2025	J	`jnl`	SwitchLingua: The First Large-Scale Multilingual and Multi-Ethnic Code-Switching Dataset. CoRR Peng Xie, Xingyuan Liu, Tsz Wai Chan, Yequan Bie, Yangqiu Song, Yang Wang, Hao Chen, Kani Chen
2025	—	`conf`	TC-RAG: Turing-Complete RAG's Case study on Medical LLM Systems. ACL (1) Xinke Jiang, Yue Fang, Rihong Qiu, Haoyu Zhang, Yongxin Xu, Hao Chen, Wentao Zhang, Ruizhe Zhang, Yuchen Fang, Xinyu Ma, Xu Chu, Junfeng Zhao, Yasha Wang
2025	A*	`conf`	Time Series Supplier Allocation via Deep Black-Litterman Model. AAAI Xinke Jiang, Wentao Zhang, Yuchen Fang, Xiaowei Gao, Hao Chen, Haoyu Zhang, Dingyi Zhuang, Jiayuan Luo
2024	J	`jnl`	Chain of Attack: On the Robustness of Vision-Language Models Against Transfer-Based Adversarial Attacks. CoRR Peng Xie, Yequan Bie, Jianda Mao, Yangqiu Song, Yang Wang, Hao Chen, Kani Chen
2024	—	`conf`	GATE: Guided Contrastive State Space for Multi-agent Reinforcement Learning. ICONIP (4) Hao Chen, Bin Zhang, Guoliang Fan
2024	A	`conf`	PDiT: Interleaving Perception and Decision-making Transformers for Deep Reinforcement Learning. AAMAS Hangyu Mao, Rui Zhao, Ziyue Li, Zhiwei Xu, Hao Chen, Yiqun Chen, Bin Zhang, Zhen Xiao, Junge Zhang, Jiangjin Yin
2024	B	`conf`	SGCD: Subgroup Contribution Decomposition for Multi-Agent Reinforcement Learning. IJCNN Hao Chen, Bin Zhang, Guoliang Fan
2024	J	`jnl`	TC-RAG:Turing-Complete RAG's Case study on Medical LLM Systems. CoRR Xinke Jiang, Yue Fang, Rihong Qiu, Haoyu Zhang, Yongxin Xu, Hao Chen, Wentao Zhang, Ruizhe Zhang, Yuchen Fang, Xu Chu, Junfeng Zhao, Yasha Wang
2024	J	`jnl`	Timeseries Suppliers Allocation Risk Optimization via Deep Black Litterman Model. CoRR Jiayuan Luo, Wentao Zhang, Yuchen Fang, Xiaowei Gao, Dingyi Zhuang, Hao Chen, Xinke Jiang
2023	A*	`conf`	Consensus Learning for Cooperative Multi-Agent Reinforcement Learning. AAAI Zhiwei Xu, Bin Zhang, Dapeng Li, Zeren Zhang, Guangchong Zhou, Hao Chen, Guoliang Fan
2023	B	`conf`	Explicitly Learning Policy Under Partial Observability in Multiagent Reinforcement Learning. IJCNN Chen Yang, Guangkai Yang, Hao Chen, Junge Zhang
2023	J	`jnl`	PDiT: Interleaving Perception and Decision-making Transformers for Deep Reinforcement Learning. CoRR Hangyu Mao, Rui Zhao, Ziyue Li, Zhiwei Xu, Hao Chen, Yiqun Chen, Bin Zhang, Zhen Xiao, Junge Zhang, Jiangjin Yin
2023	A	`conf`	Uncertainty Quantification via Spatial-Temporal Tweedie Model for Zero-inflated and Long-tail Travel Demand Prediction. CIKM Xinke Jiang, Dingyi Zhuang, Xianghui Zhang, Hao Chen, Jiayuan Luo, Xiaowei Gao
2023	J	`jnl`	Uncertainty Quantification via Spatial-Temporal Tweedie Model for Zero-inflated and Long-tail Travel Demand Prediction. CoRR Xinke Jiang, Dingyi Zhuang, Xianghui Zhang, Hao Chen, Jiayuan Luo, Xiaowei Gao
2023	B	`conf`	Underexplored Subspace Mining for Sparse-Reward Cooperative Multi-Agent Reinforcement Learning. IJCNN Yang Yu, Qiyue Yin, Junge Zhang, Hao Chen, Kaiqi Huang
2022	B	`conf`	FGA-NAS: Fast Resource-Constrained Architecture Search by Greedy-ADMM Algorithm. IJCNN Yifei Chen, Junge Zhang, Qiaozhe Li, Hao Chen, Kaiqi Huang
2022	B	`conf`	Layer-Wisely Supervised Learning For One-Shot Neural Architecture Search. IJCNN Yifei Chen, Zhourui Guo, Qiyue Yin, Hao Chen, Kaiqi Huang
2022	B	`conf`	Multi-Agent Uncertainty Sharing for Cooperative Multi-Agent Reinforcement Learning. IJCNN Hao Chen, Guangkai Yang, Junge Zhang, Qiyue Yin, Kaiqi Huang
2022	B	`conf`	RACA: Relation-Aware Credit Assignment for Ad-Hoc Cooperation in Multi-Agent Deep Reinforcement Learning. IJCNN Hao Chen, Guangkai Yang, Junge Zhang, Qiyue Yin, Kaiqi Huang
2022	J	`jnl`	RACA: Relation-Aware Credit Assignment for Ad-Hoc Cooperation in Multi-Agent Deep Reinforcement Learning. CoRR Hao Chen, Guangkai Yang, Junge Zhang, Qiyue Yin, Kaiqi Huang
2022	J	`jnl`	Transformer in Transformer as Backbone for Deep Reinforcement Learning. CoRR Hangyu Mao, Rui Zhao, Hao Chen, Jianye Hao, Yiqun Chen, Dong Li, Junge Zhang, Zhen Xiao
2022	A*	`conf`	Uni6D: A Unified CNN Framework without Projection Breakdown for 6D Pose Estimation. CVPR Xiaoke Jiang, Donghai Li, Hao Chen, Ye Zheng, Rui Zhao, Liwei Wu
2022	J	`jnl`	Uni6D: A Unified CNN Framework without Projection Breakdown for 6D Pose Estimation. CoRR Xiaoke Jiang, Donghai Li, Hao Chen, Ye Zheng, Rui Zhao, Liwei Wu