Hu-Fu: A Data Federation System for Secure Spatial Queries. - Xuchen Pan; Yongxin Tong; Chunbo Xue; Zimu Zhou; Junping Du 001; Yuxiang Zeng; Yexuan Shi; Xiaofei Zhang 002; Lei Chen 002; Yi Xu 013; Ke Xu 001; Weifeng Lv (Proc. VLDB Endow., 2022)

Hu-Fu: Efficient and Secure Spatial Queries over Data Federation. - Yongxin Tong; Xuchen Pan; Yuxiang Zeng; Yexuan Shi; Chunbo Xue; Zimu Zhou; Xiaofei Zhang 002; Lei Chen 002; Yi Xu 013; Ke Xu 001; Weifeng Lv (Proc. VLDB Endow., 2022)

FS-REAL: Towards Real-World Cross-Device Federated Learning. - Daoyuan Chen; Dawei Gao; Yuexiang Xie; Xuchen Pan; Zitao Li; Yaliang Li; Bolin Ding; Jingren Zhou 001 (KDD, 2023)

FS-Real: A Real-World Cross-Device Federated Learning Platform. - Dawei Gao; Daoyuan Chen; Zitao Li; Yuexiang Xie; Xuchen Pan; Yaliang Li; Bolin Ding; Jingren Zhou 001 (Proc. VLDB Endow., 2023)

EE-LLM: Large-Scale Training and Inference of Early-Exit Large Language Models with 3D Parallelism. - Yanxi Chen 001; Xuchen Pan; Yaliang Li; Bolin Ding; Jingren Zhou 001 (ICML, 2024)

FederatedScope-LLM: A Comprehensive Package for Fine-tuning Large Language Models in Federated Learning. - Weirui Kuang; Bingchen Qian; Zitao Li; Daoyuan Chen; Dawei Gao; Xuchen Pan; Yuexiang Xie; Yaliang Li; Bolin Ding; Jingren Zhou 001 (KDD, 2024)

Data-Juicer: A One-Stop Data Processing System for Large Language Models. - Daoyuan Chen; Yilun Huang 004; Zhijian Ma; Hesen Chen; Xuchen Pan; Ce Ge; Dawei Gao; Yuexiang Xie; Zhaoyang Liu 003; Jinyang Gao; Yaliang Li; Bolin Ding; et al. (SIGMOD Conference Companion, 2024)

EE-Tuning: An Economical yet Scalable Solution for Tuning Early-Exit Large Language Models. - Xuchen Pan; Yanxi Chen 001; Yaliang Li; Bolin Ding; Jingren Zhou 001 (CoRR, 2024)

AgentScope: A Flexible yet Robust Multi-Agent Platform. - Dawei Gao; Zitao Li; Weirui Kuang; Xuchen Pan; Daoyuan Chen; Zhijian Ma; Bingchen Qian; Liuyi Yao; Lin Zhu; Chen Cheng; Hongzhu Shi; Yaliang Li; et al. (CoRR, 2024)

Very Large-Scale Multi-Agent Simulation in AgentScope. - Xuchen Pan; Dawei Gao; Yuexiang Xie; Zhewei Wei; Yaliang Li; Bolin Ding; Ji-Rong Wen; Jingren Zhou 001 (CoRR, 2024)

GenSim: A General Social Simulation Platform with Large Language Model based Agents. - Jiakai Tang; Heyang Gao; Xuchen Pan; Lei Wang 198; Haoran Tan; Dawei Gao; Yushuo Chen; Xu Chen 017; Yankai Lin; Yaliang Li; Bolin Ding; Jingren Zhou 001; et al. (CoRR, 2024)

Dynamic and Textual Graph Generation Via Large-Scale LLM-based Agent Simulation. - Jiarui Ji; Runlin Lei; Jialing Bi; Zhewei Wei; Yankai Lin; Xuchen Pan; Yaliang Li; Bolin Ding (CoRR, 2024)

A Simple and Provable Scaling Law for the Test-Time Compute of Large Language Models. - Yanxi Chen 001; Xuchen Pan; Yaliang Li; Bolin Ding; Jingren Zhou 001 (CoRR, 2024)

LLM-Based Multi-Agent Systems are Scalable Graph Generative Models. - Jiarui Ji; Runlin Lei; Jialing Bi; Zhewei Wei; Xu Chen 017; Yankai Lin; Xuchen Pan; Yaliang Li; Bolin Ding (ACL (Findings), 2025)

Data-Juicer 2.0: Cloud-Scale Adaptive Data Processing for Foundation Models. - Daoyuan Chen; Yilun Huang 004; Xuchen Pan; Nana Jiang; Haibin Wang; Ce Ge; Yushuo Chen; Wenhao Zhang; Zhijian Ma; Yilei Zhang; Jun Huang 007; Wei Lin 016; et al. (CoRR, 2025)

Hu-Fu: efficient and secure spatial queries over data federation. - Yongxin Tong; Yuxiang Zeng; Yang Song; Xuchen Pan; Zeheng Fan; Chunbo Xue; Zimu Zhou; Xiaofei Zhang 002; Lei Chen 002; Yi Xu 013; Ke Xu 001; Weifeng Lv (VLDB J., 2025)

Trinity-RFT: A General-Purpose and Unified Framework for Reinforcement Fine-Tuning of Large Language Models. - Xuchen Pan; Yanxi Chen 001; Yushuo Chen; Yuchang Sun 001; Daoyuan Chen; Wenhao Zhang; Yuexiang Xie; Yilun Huang 004; Yilei Zhang; Dawei Gao; Yaliang Li; Bolin Ding; et al. (CoRR, 2025)