Cheng Li

13 papers at tracked venues · 12 at CORE A* · active 2024–2026

DBLP profile ↗ORCID search ↗

Venues

AAAI ×3 VLDB ×3 ACL ×1 EMNLP ×1 ICDE ×1 NeurIPS ×1 OSDI ×1 SIGMOD ×1 SOSP ×1

Frequent coauthors

Mao Yang

×4

Fan Yang

×3

Ping Gong

×3

Zewen Jin

×2

Youhui Bai

×2

Shengnan Wang

×2

Jiawei Yi

×2

Juncheng Zhang

×2

Feng Wu

×2

Yifei Liu

×2

Li Lyna Zhang

×2

Yi Zhu

×2

Papers

GoCache: Accelerating Out-Of-Core Graph Queries with Pattern-Driven Caching
ICDE 2026 ·
Zheng Yang
,
Yicheng Zhang
,
Lixiao Cui
,
Luofan Chen
,
Chongzhuo Yang
,
Xiaojian Luo
,
Sijie Shen
,
Wenyuan Yu
,
Jingren Zhou
, Cheng Li
RetroInfer: A Vector Storage Engine for Scalable Long-Context LLM Inference
VLDB 2026 ·
Yaoqi Chen
,
Jinkai Zhang
,
Baotong Lu
,
Qianxi Zhang
,
Chengruidong Zhang
,
Jing Liu
,
Jingjia Luo
,
Di Liu
,
Huiqiang Jiang
,
Qi Chen
,
Bailu Ding
,
Xiao Yan
,
Jiawei Jiang
,
Chen Chen
,
Mingxing Zhang
, Cheng Li,
Yuqing Yang
,
Fan Yang
,
Mao Yang
SMIDT: High-Performance Inference Framework for MoE Models with Dynamic Top-K Routing
AAAI 2026 ·
Zewen Jin
,
Shen Fu
,
Chengjie Tang
,
Youhui Bai
,
Shengnan Wang
,
Jiaan Zhu
,
Chizheng Fang
,
Ping Gong
, Cheng Li
HATA: Trainable and Hardware-Efficient Hash-Aware Top-k Attention for Scalable Large Model Inference
ACL 2025 ·
Ping Gong
,
Jiawei Yi
,
Shengnan Wang
,
Juncheng Zhang
,
Zewen Jin
,
Ouxiang Zhou
,
Ruibo Liu
,
Guanbin Xu
,
Youhui Bai
,
Bowen Ye
,
Kun Yuan
,
Tong Yang
,
Gong Zhang
,
Renhai Chen
,
Feng Wu
, Cheng Li
Mantle: Efficient Hierarchical Metadata Management for Cloud Object Storage Services
SOSP 2025 ·
Jiahao Li
,
Biao Cao
,
Jielong Jian
, Cheng Li,
Sen Han
,
Yiduo Wang
,
Yufei Wu
,
Kang Chen
,
Zhihui Yin
,
Qiushi Chen
,
Jiwei Xiong
,
Jie Zhao
,
Fengyuan Liu
,
Yan Xing
,
Liguo Duan
,
Miao Yu
,
Ran Zheng
,
Feng Wu
,
Xianjun Meng
Perseus: Achieving Strong Consistency and High Data Freshness for Scalable Geo-distributed HTAP
SIGMOD 2025 ·
Haoze Song
,
Xusheng Chen
,
Ruijie Gong
,
Zekai Sun
,
Tianxiang Shen
, Cheng Li,
Hao Feng
,
Sen Wang
,
Heming Cui
rStar-Coder: Scaling Competitive Code Reasoning with a Large-Scale Verified Dataset
NeurIPS 2025 ·
Yifei Liu
,
Li Lyna Zhang
,
Yi Zhu
,
Bingcheng Dong
,
Xudong Zhou
,
Ning Shang
,
Fan Yang
, Cheng Li,
Mao Yang
DeepSpeed Data Efficiency: Improving Deep Learning Model Quality and Training Efficiency via Efficient Data Sampling and Routing
AAAI 2024 ·
Conglong Li
,
Zhewei Yao
,
Xiaoxia Wu
,
Minjia Zhang
,
Connor Holmes
, Cheng Li,
Yuxiong He
Eliminating Data Processing Bottlenecks in GNN Training over Large Graphs via Two-level Feature Compression
VLDB 2024 ·
Yuxin Ma
,
Ping Gong
,
Tianming Wu
,
Jiawei Yi
,
Chengru Yang
, Cheng Li,
Qirong Peng
,
Guiming Xie
,
Yongcheng Bao
,
Haifeng Liu
,
Yinlong Xu
Exploring Post-training Quantization in LLMs from Comprehensive Study to Low Rank Compensation
AAAI 2024 ·
Zhewei Yao
,
Xiaoxia Wu
, Cheng Li,
Stephen Youn
,
Yuxiong He
PolyBase: Adapting to Data Affinity Changes in Geo-Replicated Database via Row-Level Paxos-Group Affiliation Re-Assignment
VLDB 2024 ·
Chaoyi Ruan
,
Yingqiang Zhang
,
Juncheng Zhang
, Cheng Li,
Xiaosong Ma
,
Hao Chen
,
Jie Zhou
,
Feifei Li
,
Xinjun Yang
VPTQ: Extreme Low-bit Vector Post-Training Quantization for Large Language Models
EMNLP 2024 ·
Yifei Liu
,
Jicheng Wen
,
Yang Wang
,
Shengyu Ye
,
Li Lyna Zhang
,
Ting Cao
, Cheng Li,
Mao Yang
nnScaler: Constraint-Guided Parallelization Plan Generation for Deep Learning Training
OSDI 2024 ·
Zhiqi Lin
,
Youshan Miao
,
Quanlu Zhang
,
Fan Yang
,
Yi Zhu
, Cheng Li,
Saeed Maleki
,
Xu Cao
,
Ning Shang
,
Yilei Yang
,
Weijiang Xu
,
Mao Yang
,
Lintao Zhang
,
Lidong Zhou