Cheng Li - RankMe

90 papers A* 16A 15B 4C 1Journal 40Unranked 13

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	GLPilot: Efficient Distributed GNN Training With Learnable Embeddings. IEEE Trans. Parallel Distributed Syst. Chengru Yang, Chaoyi Ruan, Chengjie Tang, Ping Gong, Shiyi Wang, Xiang Song, Cheng Li
2026	J	`jnl`	Lagom: Unleashing the Power of Communication and Computation Overlapping for Distributed LLM Training. CoRR Guanbin Xu, ZhenGuo Xu, Yuzhe Li, Youhui Bai, Ping Gong, Chaoyi Ruan, Cheng Li
2026	J	`jnl`	RetroInfer: A Vector Storage Engine for Scalable Long-Context LLM Inference. Proc. VLDB Endow. 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
2026	A*	`conf`	SMIDT: High-Performance Inference Framework for MoE Models with Dynamic Top-K Routing. AAAI Zewen Jin, Shen Fu, Chengjie Tang, Youhui Bai, Shengnan Wang, Jiaan Zhu, Chizheng Fang, Ping Gong, Cheng Li
2025	J	`jnl`	A Generic, High-Performance, Compression-Aware Framework for Data Parallel DNN Training. IEEE Trans. Parallel Distributed Syst. Hao Wu, Shiyi Wang, Youhui Bai, Cheng Li, Quan Zhou, Jun Yi, Feng Yan, Ruichuan Chen, Yinlong Xu
2025	J	`jnl`	BigMac: A Communication-Efficient Mixture-of-Experts Model Structure for Fast Training and Inference. CoRR Zewen Jin, Shengnan Wang, Jiaan Zhu, Hongrui Zhan, Youhui Bai, Lin Zhang, Zhenyu Ming, Cheng Li
2025	J	`jnl`	CLO: Efficient LLM Inference System with CPU-Light KVCache Offloading via Algorithm-System Co-Design. CoRR Jiawei Yi, Ping Gong, Youhui Bai, Jiaqi Ruan, Shengnan Wang, Pengcheng Wang, Haibo Wang, Weiguang Wang, Xia Zhu, Feng Wu, Cheng Li
2025	C	`conf`	DHeLlam: General-Purpose, Automatic Micro-Batch Co-Execution for Distributed LLM Training. ICCD Haiquan Wang, Chaoyi Ruan, Jia He, Jiaqi Ruan, Chengjie Tang, Xiaosong Ma, Cheng Li
2025	J	`jnl`	Efficient Long-Context LLM Inference via KV Cache Clustering. CoRR Jie Hu, Shengnan Wang, Yutong He, Ping Gong, Jiawei Yi, Juncheng Zhang, Youhui Bai, Renhai Chen, Gong Zhang, Cheng Li, Kun Yuan
2025	J	`jnl`	FedCust: Offloading hyperparameter customization for federated learning. Perform. Evaluation Syed Zawad, Xiaolong Ma, Jun Yi, Cheng Li, Minjia Zhang, Lei Yang, Feng Yan, Yuxiong He
2025	—	`conf`	HATA: Trainable and Hardware-Efficient Hash-Aware Top-k Attention for Scalable Large Model Inference. ACL (Findings) 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
2025	J	`jnl`	HATA: Trainable and Hardware-Efficient Hash-Aware Top-k Attention for Scalable Large Model Inference. CoRR 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
2025	J	`jnl`	LUT-DLA: Lookup Table as Efficient Extreme Low-Bit Deep Learning Accelerator. CoRR Guoyu Li, Shengyu Ye, Chunyun Chen, Yang Wang, Fan Yang, Ting Cao, Cheng Li, Mohamed M. Sabry, Mao Yang
2025	A*	`conf`	Mantle: Efficient Hierarchical Metadata Management for Cloud Object Storage Services. SOSP 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
2025	J	`jnl`	Perseus: Achieving Strong Consistency and High Data Freshness for Scalable Geo-distributed HTAP. Proc. ACM Manag. Data Haoze Song, Xusheng Chen, Ruijie Gong, Zekai Sun, Tianxiang Shen, Cheng Li, Hao Feng, Sen Wang, Heming Cui
2025	J	`jnl`	Towards Agile and Judicious Metadata Load Balancing for Ceph File System via Matrix-based Modeling. ACM Trans. Storage Xinyang Shao, Yiduo Wang, Cheng Li, Hengyu Liang, Chenhan Wang, Feng Yan, Yinlong Xu
2025	—	`conf`	Understanding Data Preprocessing for Effective End-to-End Training of DNN. APPT Ping Gong, Yuxin Ma, Cheng Li, Xiaosong Ma, Sam H. Noh
2025	B	`conf`	ZLearnIndex: Learned Index on ZNS SSDs for Space and Performance Efficiency. ICPADS Jingze Huo, Cheng Li, Yinlong Xu
2024	A*	`conf`	DeepSpeed Data Efficiency: Improving Deep Learning Model Quality and Training Efficiency via Efficient Data Sampling and Routing. AAAI Conglong Li, Zhewei Yao, Xiaoxia Wu, Minjia Zhang, Connor Holmes, Cheng Li, Yuxiong He
2024	B	`conf`	Designing Non-uniform Locally Repairable Codes for Wide Stripes under Skewed File Accesses. ICPP Guantian Lin, Si Wu, Cheng Li, Yinlong Xu
2024	J	`jnl`	Efficient Schedule Construction for Distributed Execution of Large DNN Models. IEEE Trans. Parallel Distributed Syst. Zhiqi Lin, Youshan Miao, Guanbin Xu, Cheng Li, Olli Saarikivi, Saeed Maleki, Fan Yang
2024	J	`jnl`	Eliminating Data Processing Bottlenecks in GNN Training over Large Graphs via Two-level Feature Compression. Proc. VLDB Endow. Yuxin Ma, Ping Gong, Tianming Wu, Jiawei Yi, Chengru Yang, Cheng Li, Qirong Peng, Guiming Xie, Yongcheng Bao, Haifeng Liu, Yinlong Xu
2024	A*	`conf`	Exploring Post-training Quantization in LLMs from Comprehensive Study to Low Rank Compensation. AAAI Zhewei Yao, Xiaoxia Wu, Cheng Li, Stephen Youn, Yuxiong He
2024	J	`jnl`	Fastmove: A Comprehensive Study of On-Chip DMA and its Demonstration for Accelerating Data Movement in NVM-based Storage Systems. ACM Trans. Storage Jiahao Li, Jingbo Su, Luofan Chen, Cheng Li, Kai Zhang, Liang Yang, Sam H. Noh, Yinlong Xu
2024	J	`jnl`	Hiding Communication Cost in Distributed LLM Training via Micro-batch Co-execution. CoRR Haiquan Wang, Chaoyi Ruan, Jia He, Jiaqi Ruan, Chengjie Tang, Xiaosong Ma, Cheng Li
2024	A	`conf`	Noctua: Towards Automated and Practical Fine-grained Consistency Analysis. EuroSys Kai Ma, Cheng Li, Enzuo Zhu, Ruichuan Chen, Feng Yan, Kang Chen
2024	A	`conf`	Optimal Wide Stripe Generation in Locally Repairable Codes via Staged Stripe Merging. ICDCS Si Wu, Guantian Lin, Patrick P. C. Lee, Cheng Li, Yinlong Xu
2024	J	`jnl`	PolyBase: Adapting to Data Affinity Changes in Geo-Replicated Database via Row-Level Paxos-Group Affiliation Re-Assignment. Proc. VLDB Endow. Chaoyi Ruan, Yingqiang Zhang, Juncheng Zhang, Cheng Li, Xiaosong Ma, Hao Chen, Jie Zhou, Feifei Li, Xinjun Yang
2024	J	`jnl`	SPFresh: Incremental In-Place Update for Billion-Scale Vector Search. CoRR Yuming Xu, Hengyu Liang, Jin Li, Shuotao Xu, Qi Chen, Qianxi Zhang, Cheng Li, Ziyue Yang, Fan Yang, Yuqing Yang, Peng Cheng, Mao Yang
2024	A*	`conf`	Tessel: Boosting Distributed Execution of Large DNN Models via Flexible Schedule Search. HPCA Zhiqi Lin, Youshan Miao, Guanbin Xu, Cheng Li, Olli Saarikivi, Saeed Maleki, Fan Yang
2024	A*	`conf`	VPTQ: Extreme Low-bit Vector Post-Training Quantization for Large Language Models. EMNLP Yifei Liu, Jicheng Wen, Yang Wang, Shengyu Ye, Li Lyna Zhang, Ting Cao, Cheng Li, Mao Yang
2024	J	`jnl`	VPTQ: Extreme Low-bit Vector Post-Training Quantization for Large Language Models. CoRR Yifei Liu, Jicheng Wen, Yang Wang, Shengyu Ye, Li Lyna Zhang, Ting Cao, Cheng Li, Mao Yang
2024	A*	`conf`	nnScaler: Constraint-Guided Parallelization Plan Generation for Deep Learning Training. OSDI 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
2023	J	`jnl`	A Comprehensive Study on Post-Training Quantization for Large Language Models. CoRR Zhewei Yao, Cheng Li, Xiaoxia Wu, Stephen Youn, Yuxiong He
2023	A	`conf`	CFS: Scaling Metadata Service for Distributed File System via Pruned Scope of Critical Sections. EuroSys Yiduo Wang, Yufei Wu, Cheng Li, Pengfei Zheng, Biao Cao, Yan Sun, Fei Zhou, Yinlong Xu, Yao Wang, Guangjun Xie
2023	A*	`conf`	DySR: Adaptive Super-Resolution via Algorithm and System Co-design. ICLR Syed Zawad, Cheng Li, Zhewei Yao, Elton Zheng, Yuxiong He, Feng Yan
2023	A	`conf`	FrozenHot Cache: Rethinking Cache Management for Modern Hardware. EuroSys Ziyue Qiu, Juncheng Yang, Juncheng Zhang, Cheng Li, Xiaosong Ma, Qi Chen, Mao Yang, Yinlong Xu
2023	A*	`conf`	MPress: Democratizing Billion-Scale Model Training on Multi-GPU Servers via Memory-Saving Inter-Operator Parallelism. HPCA Quan Zhou, Haiquan Wang, Xiaoyan Yu, Cheng Li, Youhui Bai, Feng Yan, Yinlong Xu
2023	B	`conf`	MUSE: A Programmable Metadata Load Estimation Interface for Ceph File System. ICPADS Xinyang Shao, Cheng Li, Yinlong Xu
2023	—	`conf`	Persistent Memory Disaggregation for Cloud-Native Relational Databases. ASPLOS (3) Chaoyi Ruan, Yingqiang Zhang, Chao Bi, Xiaosong Ma, Hao Chen, Feifei Li, Xinjun Yang, Cheng Li, Ashraf Aboulnaga, Yinlong Xu
2023	A	`conf`	Revitalizing the Forgotten On-Chip DMA to Expedite Data Movement in NVM-based Storage Systems. FAST Jingbo Su, Jiahao Li, Luofan Chen, Cheng Li, Kai Zhang, Liang Yang, Sam H. Noh, Yinlong Xu
2023	A*	`conf`	SPFresh: Incremental In-Place Update for Billion-Scale Vector Search. SOSP Yuming Xu, Hengyu Liang, Jin Li, Shuotao Xu, Qi Chen, Qianxi Zhang, Cheng Li, Ziyue Yang, Fan Yang, Yuqing Yang, Peng Cheng, Mao Yang
2023	J	`jnl`	SuperScaler: Supporting Flexible DNN Parallelization via a Unified Abstraction. CoRR Zhiqi Lin, Youshan Miao, Guodong Liu, Xiaoxiang Shi, Quanlu Zhang, Fan Yang, Saeed Maleki, Yi Zhu, Xu Cao, Cheng Li, Mao Yang, Lintao Zhang, Lidong Zhou
2023	J	`jnl`	Tessel: Boosting Distributed Execution of Large DNN Models via Flexible Schedule Search. CoRR Zhiqi Lin, Youshan Miao, Guanbin Xu, Cheng Li, Olli Saarikivi, Saeed Maleki, Fan Yang
2023	J	`jnl`	Understand Data Preprocessing for Effective End-to-End Training of Deep Neural Networks. CoRR Ping Gong, Yuxin Ma, Cheng Li, Xiaosong Ma, Sam H. Noh
2023	J	`jnl`	Understanding INT4 Quantization for Transformer Models: Latency Speedup, Composability, and Failure Cases. CoRR Xiaoxia Wu, Cheng Li, Reza Yazdani Aminabadi, Zhewei Yao, Yuxiong He
2023	A*	`conf`	Understanding Int4 Quantization for Language Models: Latency Speedup, Composability, and Failure Cases. ICML Xiaoxia Wu, Cheng Li, Reza Yazdani Aminabadi, Zhewei Yao, Yuxiong He
2023	A*	`conf`	gSampler: General and Efficient GPU-based Graph Sampling for Graph Learning. SOSP Ping Gong, Renjie Liu, Zunyao Mao, Zhenkun Cai, Xiao Yan, Cheng Li, Minjie Wang, Zhuozhao Li
2022	J	`jnl`	A Data Layout and Fast Failure Recovery Scheme for Distributed Storage Systems With Mixed Erasure Codes. IEEE Trans. Computers Liangliang Xu, Min Lyu, Zhipeng Li, Cheng Li, Yinlong Xu
2022	J	`jnl`	BiFeat: Supercharge GNN Training via Graph Feature Quantization. CoRR Yuxin Ma, Ping Gong, Jun Yi, Zhewei Yao, Minjie Wang, Cheng Li, Yuxiong He, Feng Yan
2022	J	`jnl`	DeepSpeed Data Efficiency: Improving Deep Learning Model Quality and Training Efficiency via Efficient Data Sampling and Routing. CoRR Conglong Li, Zhewei Yao, Xiaoxia Wu, Minjia Zhang, Connor Holmes, Cheng Li, Yuxiong He
2022	J	`jnl`	DeepSpeed Inference: Enabling Efficient Inference of Transformer Models at Unprecedented Scale. CoRR Reza Yazdani Aminabadi, Samyam Rajbhandari, Minjia Zhang, Ammar Ahmad Awan, Cheng Li, Du Li, Elton Zheng, Jeff Rasley, Shaden Smith, Olatunji Ruwase, Yuxiong He
2022	A	`conf`	DeepSpeed- Inference: Enabling Efficient Inference of Transformer Models at Unprecedented Scale. SC Reza Yazdani Aminabadi, Samyam Rajbhandari, Ammar Ahmad Awan, Cheng Li, Du Li, Elton Zheng, Olatunji Ruwase, Shaden Smith, Minjia Zhang, Jeff Rasley, Yuxiong He
2022	A*	`conf`	NASPipe: high performance and reproducible pipeline parallel supernet training via causal synchronous parallelism. ASPLOS Shixiong Zhao, Fanxin Li, Xusheng Chen, Tianxiang Shen, Li Chen, Sen Wang, Nicholas Zhang, Cheng Li, Heming Cui
2022	J	`jnl`	Random-LTD: Random and Layerwise Token Dropping Brings Efficient Training for Large-scale Transformers. CoRR Zhewei Yao, Xiaoxia Wu, Conglong Li, Connor Holmes, Minjia Zhang, Cheng Li, Yuxiong He
2022	B	`conf`	Repair-Optimal Data Placement for Locally Repairable Codes with Optimal Minimum Hamming Distance. ICPP Shuang Ma, Si Wu, Cheng Li, Yinlong Xu
2022	J	`jnl`	SelectiveEC: Towards Balanced Recovery Load on Erasure-Coded Storage Systems. IEEE Trans. Parallel Distributed Syst. Liangliang Xu, Min Lyu, Qiliang Li, Lingjiang Xie, Cheng Li, Yinlong Xu
2022	J	`jnl`	vPipe: A Virtualized Acceleration System for Achieving Efficient and Scalable Pipeline Parallel DNN Training. IEEE Trans. Parallel Distributed Syst. Shixiong Zhao, Fanxin Li, Xusheng Chen, Xiuxian Guan, Jianyu Jiang, Dong Huang, Yuhao Qing, Sen Wang, Peng Wang, Gong Zhang, Cheng Li, Ping Luo, Heming Cui
2021	A	`conf`	Achieving low tail-latency and high scalability for serializable transactions in edge computing. EuroSys Xusheng Chen, Haoze Song, Jianyu Jiang, Chaoyi Ruan, Cheng Li, Sen Wang, Gong Zhang, Reynold Cheng, Heming Cui
2021	J	`jnl`	AutoGR: Automated Geo-Replication with Fast System Performance and Preserved Application Semantics. Proc. VLDB Endow. Jiawei Wang, Cheng Li, Kai Ma, Jingze Huo, Feng Yan, Xinyu Feng, Yinlong Xu
2021	J	`jnl`	ECR: Eviction-cost-aware cache management policy for page-level flash-based SSDs. Concurr. Comput. Pract. Exp. Hao Chen, Yubiao Pan, Cheng Li, Yinlong Xu
2021	J	`jnl`	Efficient Data Loader for Fast Sampling-Based GNN Training on Large Graphs. IEEE Trans. Parallel Distributed Syst. Youhui Bai, Cheng Li, Zhiqi Lin, Yufei Wu, Youshan Miao, Yunxin Liu, Yinlong Xu
2021	A*	`conf`	Gradient Compression Supercharged High-Performance Data Parallel DNN Training. SOSP Youhui Bai, Cheng Li, Quan Zhou, Jun Yi, Ping Gong, Feng Yan, Ruichuan Chen, Yinlong Xu
2021	—	`conf`	Lessons learned from migrating complex stateful applications onto serverless platforms. APSys Zewen Jin, Yiming Zhu, Jiaan Zhu, Dongbo Yu, Cheng Li, Ruichuan Chen, Istemi Ekin Akkus, Yinlong Xu
2021	J	`jnl`	Leveraging NVMe SSDs for Building a Fast, Cost-effective, LSM-tree-based KV Store. ACM Trans. Storage Cheng Li, Hao Chen, Chaoyi Ruan, Xiaosong Ma, Yinlong Xu
2021	A	`conf`	Lunule: an agile and judicious metadata load balancer for CephFS. SC Yiduo Wang, Cheng Li, Xinyang Shao, Youxu Chen, Feng Yan, Yinlong Xu
2021	J	`jnl`	MTFC: A Multi-GPU Training Framework for Cube-CNN-Based Hyperspectral Image Classification. IEEE Trans. Emerg. Top. Comput. Ye Lu, Kunpeng Xie, Guanbin Xu, Han Dong, Cheng Li, Tao Li
2021	A	`conf`	SpanDB: A Fast, Cost-Effective LSM-tree Based KV Store on Hybrid Storage. FAST Hao Chen, Chaoyi Ruan, Cheng Li, Xiaosong Ma, Yinlong Xu
2021	J	`jnl`	Towards Cost-Effective and Elastic Cloud Database Deployment via Memory Disaggregation. Proc. VLDB Endow. Yingqiang Zhang, Chaoyi Ruan, Cheng Li, Jimmy Yang, Wei Cao, Feifei Li, Bo Wang, Jing Fang, Yuhui Wang, Jingze Huo, Chao Bi
2020	A	`conf`	HAMS: High Availability for Distributed Machine Learning Service Graphs. DSN Shixiong Zhao, Xusheng Chen, Cheng Wang, Fanxin Li, Qi Ji, Heming Cui, Cheng Li, Sen Wang
2020	A	`conf`	Not All Explorations Are Equal: Harnessing Heterogeneous Profiling Cost for Efficient MLaaS Training. IPDPS Jun Yi, Chengliang Zhang, Wei Wang, Cheng Li, Feng Yan
2020	A*	`conf`	PDL: A Data Layout towards Fast Failure Recovery for Erasure-coded Distributed Storage Systems. INFOCOM Liangliang Xu, Min Lv, Zhipeng Li, Cheng Li, Yinlong Xu
2020	—	`conf`	PaGraph: Scaling GNN training on large graphs via computation-aware caching. SoCC Zhiqi Lin, Cheng Li, Youshan Miao, Yunxin Liu, Yinlong Xu
2019	—	`conf`	Bayesian Optimisation for Objective Functions with Varying Smoothness. Australasian Conference on Artificial Intelligence A. V. Arun Kumar, Santu Rana, Cheng Li, Sunil Gupta, Alistair Shilton, Svetha Venkatesh
2019	J	`jnl`	BiloKey : A Scalable Bi-Index Locality-Aware In-Memory Key-Value Store. IEEE Trans. Parallel Distributed Syst. Wenlong Ma, Yuqing Zhu, Cheng Li, Mengying Guo, Yungang Bao
2019	—	`conf`	ElasticBF: Elastic Bloom Filter with Hotness Awareness for Boosting Read Performance in Large Key-Value Stores. USENIX ATC Yongkun Li, Chengjin Tian, Fan Guo, Cheng Li, Yinlong Xu
2019	J	`jnl`	Explicit Data Correlations-Directed Metadata Prefetching Method in Distributed File Systems. IEEE Trans. Parallel Distributed Syst. Youxu Chen, Cheng Li, Min Lv, Xinyang Shao, Yongkun Li, Yinlong Xu
2019	A	`conf`	HCFTL: A Locality-Aware Page-Level Flash Translation Layer. DATE Hao Chen, Cheng Li, Yubiao Pan, Min Lyu, Yongkun Li, Yinlong Xu
2018	—	`conf`	A Flexible Method for Time-of-Flight Camera Calibration Using Random Forest. ICSM Chi Xu, Cheng Li
2018	—	`conf`	ElasticBF: Fine-grained and Elastic Bloom Filter Towards Efficient Read for LSM-tree-based KV Stores. HotStorage Yueming Zhang, Yongkun Li, Fan Guo, Cheng Li, Yinlong Xu
2018	—	`conf`	Fine-grained consistency for geo-replicated systems. USENIX ATC Cheng Li, Nuno M. Preguiça, Rodrigo Rodrigues
2018	—	`conf`	LCR: Load-Aware Cache Replacement Algorithm for Flash-Based SSDs. NAS Caiyin Liu, Min Lv, Yubiao Pan, Hao Chen, Yongkun Li, Cheng Li, Yinlong Xu
2016	—	`—`	Building fast and consistent (geo-)replicated systems: from principles to practice. Cheng Li
2016	J	`jnl`	Geo-Replication: Fast If Possible, Consistent If Necessary. IEEE Data Eng. Bull. Valter Balegas, Cheng Li, Mahsa Najafzadeh, Daniel Porto, Allen Clement, Sérgio Duarte, Carla Ferreira, Johannes Gehrke, João Leitão, Nuno M. Preguiça, Rodrigo Rodrigues, Marc Shapiro, Viktor Vafeiadis
2015	—	`conf`	Minimizing coordination in replicated systems. PaPoC@EuroSys Cheng Li, João Leitão, Allen Clement, Nuno M. Preguiça, Rodrigo Rodrigues
2015	A	`conf`	Visigoth fault tolerance. EuroSys Daniel Porto, João Leitão, Cheng Li, Allen Clement, Aniket Kate, Flavio Paiva Junqueira, Rodrigo Rodrigues
2014	—	`conf`	Automating the Choice of Consistency Levels in Replicated Systems. USENIX ATC Cheng Li, João Leitão, Allen Clement, Nuno M. Preguiça, Rodrigo Rodrigues, Viktor Vafeiadis
2012	A*	`conf`	Making Geo-Replicated Systems Fast as Possible, Consistent when Necessary. OSDI Cheng Li, Daniel Porto, Allen Clement, Johannes Gehrke, Nuno M. Preguiça, Rodrigo Rodrigues
2011	A	`conf`	Finding complex concurrency bugs in large multi-threaded applications. EuroSys Pedro Fonseca, Cheng Li, Rodrigo Rodrigues
2010	A	`conf`	A study of the internal and external effects of concurrency bugs. DSN Pedro Fonseca, Cheng Li, Vishal Singhal, Rodrigo Rodrigues