Source localization in complex networks using a frequency-domain approach. - Chenguang Xi; Usman A. Khan (GlobalSIP, 2013)

On the impact of low-rank interference on distributed multi-agent optimization. - Chenguang Xi; Usman A. Khan (ACSSC, 2014)

Directed-Distributed Gradient Descent. - Chenguang Xi; Usman A. Khan (Allerton, 2015)

Fast distributed optimization over directed graphs. - Chenguang Xi; Qiong Wu; Usman A. Khan (ACC, 2016)

Distributed dynamic optimization over directed graphs. - Chenguang Xi; Usman A. Khan (CDC, 2016)

Optimization over directed graphs: Linear convergence rate. - Chenguang Xi; Usman A. Khan (ICASSP, 2017)

On the distributed optimization over directed networks. - Chenguang Xi; Qiong Wu; Usman A. Khan (Neurocomputing, 2017)

Distributed Subgradient Projection Algorithm Over Directed Graphs. - Chenguang Xi; Usman A. Khan (IEEE Trans. Autom. Control., 2017)

DEXTRA: A Fast Algorithm for Optimization Over Directed Graphs. - Chenguang Xi; Usman A. Khan (IEEE Trans. Autom. Control., 2017)

Subgradient Projection Over Directed Graphs Using Surplus Consensus. - Ran Xin; Chenguang Xi; Usman A. Khan (DSW, 2018)

Linear Convergence in Optimization Over Directed Graphs With Row-Stochastic Matrices. - Chenguang Xi; Van Sy Mai; Ran Xin; Eyad H. Abed; Usman A. Khan (IEEE Trans. Autom. Control., 2018)

ADD-OPT: Accelerated Distributed Directed Optimization. - Chenguang Xi; Ran Xin; Usman A. Khan (IEEE Trans. Autom. Control., 2018)

FROST - Fast row-stochastic optimization with uncoordinated step-sizes. - Ran Xin; Chenguang Xi; Usman A. Khan (EURASIP J. Adv. Signal Process., 2019)

CowClip: Reducing CTR Prediction Model Training Time from 12 hours to 10 minutes on 1 GPU. - Zangwei Zheng; Pengtai Xu; Xuan Zou; Da Tang; Zhen Li 026; Chenguang Xi; Peng Wu; Leqi Zou; Yijie Zhu; Ming Chen; Xiangzhuo Ding; Fuzhao Xue; et al. (CoRR, 2022)

CowClip: Reducing CTR Prediction Model Training Time from 12 Hours to 10 Minutes on 1 GPU. - Zangwei Zheng; Pengtai Xu; Xuan Zou; Da Tang; Zhen Li 026; Chenguang Xi; Peng Wu; Leqi Zou; Yijie Zhu; Ming Chen; Xiangzhuo Ding; Fuzhao Xue; et al. (AAAI, 2023)

GPT-Fathom: Benchmarking Large Language Models to Decipher the Evolutionary Path towards GPT-4 and Beyond. - Shen Zheng 001; Yuyu Zhang; Yijie Zhu; Chenguang Xi; Pengyang Gao; Xun Zhou; Kevin Chen-Chuan Chang (CoRR, 2023)

GPT-Fathom: Benchmarking Large Language Models to Decipher the Evolutionary Path towards GPT-4 and Beyond. - Shen Zheng 001; Yuyu Zhang; Yijie Zhu; Chenguang Xi; Pengyang Gao; Zhou Xun; Kevin Chang 001 (NAACL-HLT (Findings), 2024)

ICE-GRT: Instruction Context Enhancement by Generative Reinforcement based Transformers. - Chen Zheng; Ke Sun; Da Tang; Yukun Ma; Yuyu Zhang; Chenguang Xi; Xun Zhou (CoRR, 2024)

Balancing Enhancement, Harmlessness, and General Capabilities: Enhancing Conversational LLMs with Direct RLHF. - Chen Zheng; Ke Sun; Hang Wu; Chenguang Xi; Xun Zhou (CoRR, 2024)

FullStack Bench: Evaluating LLMs as Full Stack Coders. - Yao Cheng; Jianfeng Chen; Jie Chen; Li Chen; Liyu Chen; Wentao Chen; Zhengyu Chen; Shijie Geng; Aoyan Li; Bo Li; Bowen Li; Linyi Li; et al. (CoRR, 2024)

BFS-Prover: Scalable Best-First Tree Search for LLM-based Automatic Theorem Proving. - Ran Xin; Chenguang Xi; Jie Yang; Feng Chen; Hang Wu; Xia Xiao; Yifan Sun; Shen Zheng; Ming Ding (ACL (1), 2025)

BFS-Prover: Scalable Best-First Tree Search for LLM-based Automatic Theorem Proving. - Ran Xin; Chenguang Xi; Jie Yang; Feng Chen; Hang Wu; Xia Xiao; Yifan Sun; Shen Zheng; Kai Shen (CoRR, 2025)

Seed-Coder: Let the Code Model Curate Data for Itself. - Yuyu Zhang; Jing Su; Yifan Sun; Chenguang Xi; Xia Xiao; Shen Zheng; Anxiang Zhang; Kaibo Liu; Daoguang Zan; Tao Sun; Jinhua Zhu; Shulin Xin; et al. (CoRR, 2025)