Chen Dun - RankMe

25 papers A* 2A 3B 1Misc 1Journal 17Unranked 1

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	A multidimensional hierarchical framework for sources of bias in real-world healthcare evidence: a scoping review. J. Biomed. Informatics Haeun Lee, Christelle Xiong, Derek Baughman, Chen Dun, Jiayi Tong, Benjamin Martin, Harold P. Lehmann, Paul G. Nagy
2025	—	`conf`	Flaming-hot Initiation with Regular Execution Sampling for Large Language Models. NAACL (Findings) Weizhe Chen, Zhicheng Zhang, Guanlin Liu, Renjie Zheng, Wenlei Shi, Chen Dun, Zheng Wu, Xing Jin, Lin Yan
2025	J	`jnl`	SciDA: Scientific Dynamic Assessor of LLMs. CoRR Junting Zhou, Tingjia Miao, Yiyan Liao, Qichao Wang, Zhoufutu Wen, Yanqin Wang, Yunjie Huang, Ge Yan, Leqi Wang, Yucheng Xia, Hongwan Gao, Yuansong Zeng, Renjie Zheng, Chen Dun, Yitao Liang, Tong Yang, Wenhao Huang, Ge Zhang
2025	A*	`conf`	Sweeping Heterogeneity with Smart MoPs: Mixture of Prompts for LLM Task Adaptation. AAAI Chen Dun, Mirian del Carmen Hipolito Garcia, Guoqing Zheng, Ahmed Hassan Awadallah, Robert Sim, Anastasios Kyrillidis
2024	J	`jnl`	Enhancing Multi-Step Reasoning Abilities of Language Models through Direct Q-Function Optimization. CoRR Guanlin Liu, Kaixuan Ji, Renjie Zheng, Zheng Wu, Chen Dun, Quanquan Gu, Lin Yan
2024	B	`conf`	Fast FixMatch: Faster Semi-Supervised Learning with Curriculum Batch Size. ISIT John Chen, Chen Dun, Anastasios Kyrillidis
2024	J	`jnl`	Flaming-hot Initiation with Regular Execution Sampling for Large Language Models. CoRR Weizhe Chen, Zhicheng Zhang, Guanlin Liu, Renjie Zheng, Wenlei Shi, Chen Dun, Zheng Wu, Xing Jin, Lin Yan
2024	J	`jnl`	GIST: distributed training for large-scale graph convolutional networks. J. Appl. Comput. Topol. Cameron R. Wolfe, Jingkang Yang, Fangshuo Liao, Arindam Chowdhury, Chen Dun, Artun Bayer, Santiago Segarra, Anastasios Kyrillidis
2024	J	`jnl`	Process Supervision-Guided Policy Optimization for Code Generation. CoRR Ning Dai, Zheng Wu, Renjie Zheng, Ziyun Wei, Wenlei Shi, Xing Jin, Guanlin Liu, Chen Dun, Liang Huang, Lin Yan
2023	J	`jnl`	CrysFormer: Protein Structure Prediction via 3d Patterson Maps and Partial Structure Attention. CoRR Chen Dun, Qiutai Pan, Shikai Jin, Ria Stevens, Mitchell D. Miller, George N. Phillips Jr., Anastasios Kyrillidis
2023	A	`conf`	Efficient and Light-Weight Federated Learning via Asynchronous Distributed Dropout. AISTATS Chen Dun, Mirian Hipolito Garcia, Chris Jermaine, Dimitrios Dimitriadis, Anastasios Kyrillidis
2023	J	`jnl`	Fast FixMatch: Faster Semi-Supervised Learning with Curriculum Batch Size. CoRR John Chen, Chen Dun, Anastasios Kyrillidis
2023	J	`jnl`	Fed-ZERO: Efficient Zero-shot Personalization with Federated Mixture of Experts. CoRR Chen Dun, Mirian Hipolito Garcia, Guoqing Zheng, Ahmed Hassan Awadallah, Robert Sim, Anastasios Kyrillidis, Dimitrios Dimitriadis
2023	A	`conf`	LOFT: Finding Lottery Tickets through Filter-wise Training. AISTATS Qihan Wang, Chen Dun, Fangshuo Liao, Chris Jermaine, Anastasios Kyrillidis
2023	J	`jnl`	Sweeping Heterogeneity with Smart MoPs: Mixture of Prompts for LLM Task Adaptation. CoRR Chen Dun, Mirian Hipolito Garcia, Guoqing Zheng, Ahmed Hassan Awadallah, Anastasios Kyrillidis, Robert Sim
2022	J	`jnl`	Distributed Learning of Fully Connected Neural Networks using Independent Subnet Training. Proc. VLDB Endow. Binhang Yuan, Cameron R. Wolfe, Chen Dun, Yuxin Tang, Anastasios Kyrillidis, Chris Jermaine
2022	J	`jnl`	Efficient and Light-Weight Federated Learning via Asynchronous Distributed Dropout. CoRR Chen Dun, Mirian Hipolito Garcia, Chris Jermaine, Dimitrios Dimitriadis, Anastasios Kyrillidis
2022	J	`jnl`	LOFT: Finding Lottery Tickets through Filter-wise Training. CoRR Qihan Wang, Chen Dun, Fangshuo Liao, Chris Jermaine, Anastasios Kyrillidis
2022	A	`conf`	ResIST: Layer-wise decomposition of ResNets for distributed training. UAI Chen Dun, Cameron R. Wolfe, Christopher M. Jermaine, Anastasios Kyrillidis
2021	J	`jnl`	Federated Multiple Label Hashing (FedMLH): Communication Efficient Federated Learning on Extreme Classification Tasks. CoRR Zhenwei Dai, Chen Dun, Yuxin Tang, Anastasios Kyrillidis, Anshumali Shrivastava
2021	J	`jnl`	GIST: Distributed Training for Large-Scale Graph Convolutional Networks. CoRR Cameron R. Wolfe, Jingkang Yang, Arindam Chowdhury, Chen Dun, Artun Bayer, Santiago Segarra, Anastasios Kyrillidis
2021	J	`jnl`	ResIST: Layer-Wise Decomposition of ResNets for Distributed Training. CoRR Chen Dun, Cameron R. Wolfe, Christopher M. Jermaine, Anastasios Kyrillidis
2020	Misc	`conf`	Assessing the Impact of Targeted Screening and Treatment of Diabetes and Hypertension Among Adults Living with HIV in Nairobi, Kenya. WSC Melissa Schnure, Parastu Kasaie, David W. Dowdy, Brian Weir, Chen Dun, Chris Beyrer
2020	A*	`conf`	Graph Convolutional Reinforcement Learning. ICLR Jiechuan Jiang, Chen Dun, Tiejun Huang, Zongqing Lu
2018	J	`jnl`	Graph Convolutional Reinforcement Learning for Multi-Agent Cooperation. CoRR Jiechuan Jiang, Chen Dun, Zongqing Lu