JSidentify: a hybrid framework for detecting plagiarism among JavaScript code in online mini games. - Qun Xia; Zhongzhu Zhou; Zhihao Li; Bin Xu; Wei Zou; Zishun Chen; Huafeng Ma; Gangqiang Liang; Haochuan Lu; Shiyu Guo; Ting Xiong; Yuetang Deng; et al. (ICSE (SEIP), 2020)

Binary Neural Network for Automated Visual Surface Defect Detection. - Wenzhe Liu; Jiehua Zhang; Zhuo Su 002; Zhongzhu Zhou; Li Liu 002 (Sensors, 2021)

DeepSpeed-Chat: Easy, Fast and Affordable RLHF Training of ChatGPT-like Models at All Scales. - Zhewei Yao; Reza Yazdani Aminabadi; Olatunji Ruwase; Samyam Rajbhandari; Xiaoxia Wu; Ammar Ahmad Awan; Jeff Rasley; Minjia Zhang; Conglong Li; Connor Holmes; Zhongzhu Zhou; Michael Wyatt; et al. (CoRR, 2023)

Flash-LLM: Enabling Cost-Effective and Highly-Efficient Large Generative Model Inference with Unstructured Sparsity. - Haojun Xia; Zhen Zheng; Yuchao Li; Donglin Zhuang; Zhongzhu Zhou; Xiafei Qiu; Yong Li 020; Wei Lin 016; Shuaiwen Leon Song (CoRR, 2023)

DeepSpeed4Science Initiative: Enabling Large-Scale Scientific Discovery through Sophisticated AI System Technologies. - Shuaiwen Leon Song; Bonnie Kruft; Minjia Zhang; Conglong Li; Shiyang Chen 004; Chengming Zhang 006; Masahiro Tanaka; Xiaoxia Wu; Jeff Rasley; Ammar Ahmad Awan; Connor Holmes; Martin Cai; et al. (CoRR, 2023)

Flash-LLM: Enabling Low-Cost and Highly-Efficient Large Generative Model Inference With Unstructured Sparsity. - Haojun Xia; Zhen Zheng; Yuchao Li; Donglin Zhuang; Zhongzhu Zhou; Xiafei Qiu; Yong Li 020; Wei Lin 016; Shuaiwen Leon Song (Proc. VLDB Endow., 2023)

CorDA: Context-Oriented Decomposition Adaptation of Large Language Models for Task-Aware Parameter-Efficient Fine-tuning. - Yibo Yang; Xiaojie Li; Zhongzhu Zhou; Shuaiwen Song; Jianlong Wu; Liqiang Nie; Bernard Ghanem (NeurIPS, 2024)

Quant-LLM: Accelerating the Serving of Large Language Models via FP6-Centric Algorithm-System Co-Design on Modern GPUs. - Haojun Xia; Zhen Zheng; Xiaoxia Wu; Shiyang Chen 004; Zhewei Yao; Stephen Youn; Arash Bakhtiari; Michael Wyatt; Donglin Zhuang; Zhongzhu Zhou; Olatunji Ruwase; Yuxiong He; et al. (USENIX ATC, 2024)

FP6-LLM: Efficiently Serving Large Language Models Through FP6-Centric Algorithm-System Co-Design. - Haojun Xia; Zhen Zheng; Xiaoxia Wu; Shiyang Chen 004; Zhewei Yao; Stephen Youn; Arash Bakhtiari; Michael Wyatt; Donglin Zhuang; Zhongzhu Zhou; Olatunji Ruwase; Yuxiong He; et al. (CoRR, 2024)

CorDA: Context-Oriented Decomposition Adaptation of Large Language Models. - Yibo Yang; Xiaojie Li; Zhongzhu Zhou; Shuaiwen Leon Song; Jianlong Wu; Liqiang Nie; Bernard Ghanem (CoRR, 2024)

Ladder-residual: parallelism-aware architecture for accelerating large model inference with communication overlapping. - Muru Zhang; Mayank Mishra; Zhongzhu Zhou; William Brandon; Jue Wang; Yoon Kim; Jonathan Ragan-Kelley; Shuaiwen Leon Song; Ben Athiwaratkun; Tri Dao (CoRR, 2025)

RenAIssance: A Survey Into AI Text-to-Image Generation in the Era of Large Model. - Fengxiang Bie; Yibo Yang; Zhongzhu Zhou; Adam Ghanem; Minjia Zhang; Zhewei Yao; Xiaoxia Wu; Connor Holmes; Pareesa Ameneh Golnari; David A. Clifton; Yuxiong He; Dacheng Tao; et al. (IEEE Trans. Pattern Anal. Mach. Intell., 2025)