Graph Convolutional Reinforcement Learning for Multi-Agent Cooperation. - Jiechuan Jiang; Chen Dun; Zongqing Lu 002 (CoRR, 2018)

Graph Convolutional Reinforcement Learning. - Jiechuan Jiang; Chen Dun; Tiejun Huang 001; Zongqing Lu 002 (ICLR, 2020)

Assessing the Impact of Targeted Screening and Treatment of Diabetes and Hypertension Among Adults Living with HIV in Nairobi, Kenya. - Melissa Schnure; Parastu Kasaie; David W. Dowdy; Brian Weir; Chen Dun; Chris Beyrer (WSC, 2020)

GIST: Distributed Training for Large-Scale Graph Convolutional Networks. - Cameron R. Wolfe; Jingkang Yang; Arindam Chowdhury; Chen Dun; Artun Bayer; Santiago Segarra; Anastasios Kyrillidis (CoRR, 2021)

Federated Multiple Label Hashing (FedMLH): Communication Efficient Federated Learning on Extreme Classification Tasks. - Zhenwei Dai; Chen Dun; Yuxin Tang; Anastasios Kyrillidis; Anshumali Shrivastava (CoRR, 2021)

ResIST: Layer-wise decomposition of ResNets for distributed training. - Chen Dun; Cameron R. Wolfe; Christopher M. Jermaine; Anastasios Kyrillidis (UAI, 2022)

Distributed Learning of Fully Connected Neural Networks using Independent Subnet Training. - Binhang Yuan; Cameron R. Wolfe; Chen Dun; Yuxin Tang; Anastasios Kyrillidis; Chris Jermaine (Proc. VLDB Endow., 2022)

Efficient and Light-Weight Federated Learning via Asynchronous Distributed Dropout. - Chen Dun; Mirian Hipolito Garcia; Chris Jermaine; Dimitrios Dimitriadis; Anastasios Kyrillidis (AISTATS, 2023)

LOFT: Finding Lottery Tickets through Filter-wise Training. - Qihan Wang; Chen Dun; Fangshuo Liao; Chris Jermaine; Anastasios Kyrillidis (AISTATS, 2023)

Fed-ZERO: Efficient Zero-shot Personalization with Federated Mixture of Experts. - Chen Dun; Mirian Hipolito Garcia; Guoqing Zheng; Ahmed Hassan Awadallah; Robert Sim; Anastasios Kyrillidis; Dimitrios Dimitriadis (CoRR, 2023)

CrysFormer: Protein Structure Prediction via 3d Patterson Maps and Partial Structure Attention. - Chen Dun; Qiutai Pan; Shikai Jin; Ria Stevens; Mitchell D. Miller; George N. Phillips Jr.; Anastasios Kyrillidis (CoRR, 2023)

Fast FixMatch: Faster Semi-Supervised Learning with Curriculum Batch Size. - John Chen 002; Chen Dun; Anastasios Kyrillidis (ISIT, 2024)

Enhancing Multi-Step Reasoning Abilities of Language Models through Direct Q-Function Optimization. - Guanlin Liu; Kaixuan Ji; Renjie Zheng; Zheng Wu; Chen Dun; Quanquan Gu; Lin Yan (CoRR, 2024)

Process Supervision-Guided Policy Optimization for Code Generation. - Ning Dai; Zheng Wu; Renjie Zheng; Ziyun Wei; Wenlei Shi; Xing Jin; Guanlin Liu; Chen Dun; Liang Huang 001; Lin Yan (CoRR, 2024)

GIST: distributed training for large-scale graph convolutional networks. - Cameron R. Wolfe; Jingkang Yang; Fangshuo Liao; Arindam Chowdhury; Chen Dun; Artun Bayer; Santiago Segarra; Anastasios Kyrillidis (J. Appl. Comput. Topol., 2024)

Sweeping Heterogeneity with Smart MoPs: Mixture of Prompts for LLM Task Adaptation. - Chen Dun; Mirian del Carmen Hipolito Garcia; Guoqing Zheng; Ahmed Hassan Awadallah; Robert Sim; Anastasios Kyrillidis (AAAI, 2025)

Flaming-hot Initiation with Regular Execution Sampling for Large Language Models. - Weizhe Chen 001; Zhicheng Zhang; Guanlin Liu; Renjie Zheng; Wenlei Shi; Chen Dun; Zheng Wu; Xing Jin; Lin Yan (NAACL (Findings), 2025)

Seed1.5-Thinking: Advancing Superb Reasoning Models with Reinforcement Learning. - Jiaze Chen; Tiantian Fan; Xin Liu; Lingjun Liu; Zhiqi Lin; Mingxuan Wang; Chengyi Wang; Xiangpeng Wei; Wenyuan Xu; Yufeng Yuan; Yu Yue; Lin Yan; et al. (CoRR, 2025)

SciDA: Scientific Dynamic Assessor of LLMs. - Junting Zhou; Tingjia Miao; Yiyan Liao; Qichao Wang; Zhoufutu Wen; Yanqin Wang; Yunjie Huang; Ge Yan; Leqi Wang; Yucheng Xia; Hongwan Gao; Yuansong Zeng; et al. (CoRR, 2025)