Peng Sun - RankMe

75 papers A* 8A 6B 5C 1Misc 1Journal 45Unranked 8

Year	Rank	Type	Title / Venue / Authors
2026	—	`conf`	Bat: Efficient Generative Recommender Serving with Bipartite Attention. ASPLOS (2) Jie Sun, Shaohang Wang, Zimo Zhang, Zhengyu Liu, Yunlong Xu, Peng Sun, Bo Zhao, Bingsheng He, Fei Wu, Zeke Wang
2026	J	`jnl`	CONCUR: High-Throughput Agentic Batch Inference of LLM via Congestion-Based Concurrency Control. CoRR Qiaoling Chen, Zhisheng Ye, Tian Tang, Peng Sun, Boyu Tian, Guoteng Wang, Shenggui Li, Yonggang Wen, Zhenhua Han, Tianwei Zhang
2026	J	`jnl`	PromptTuner: SLO-Aware Elastic System for LLM Prompt Tuning. CoRR Wei Gao, Peng Sun, Dmitrii Ustiugov, Tianwei Zhang, Yonggang Wen
2026	A	`conf`	Zeppelin: Balancing Variable-length Workloads in Data Parallel Large Model Training. EuroSys Chang Chen, Tiancheng Chen, Jiangfei Duan, Qianchao Zhu, Zerui Wang, Qinghao Hu, Peng Sun, Xiuhong Li, Chao Yang, Torsten Hoefler
2025	J	`jnl`	AdaPtis: Reducing Pipeline Bubbles with Adaptive Pipeline Parallelism on Heterogeneous Models. CoRR Jihu Guo, Tenghui Ma, Wei Gao, Peng Sun, Jiaxing Li, Xun Chen, Yuyang Jin, Dahua Lin
2025	J	`jnl`	BAPO: Stabilizing Off-Policy Reinforcement Learning for LLMs via Balanced Policy Optimization with Adaptive Clipping. CoRR Zhiheng Xi, Xin Guo, Yang Nan, Enyu Zhou, Junrui Shen, Wenxiang Chen, Jiaqi Liu, Jixuan Huang, Zhihao Zhang, Honglin Guo, Xun Deng, Zhikai Lei, Miao Zheng, Guoteng Wang, Shuo Zhang, Peng Sun, Rui Zheng, Hang Yan, Tao Gui, Qi Zhang, Xuanjing Huang
2025	J	`jnl`	DBAIOps: A Reasoning LLM-Enhanced Database Operation and Maintenance System using Knowledge Graphs. CoRR Wei Zhou, Peng Sun, Xuanhe Zhou, Qianglei Zang, Ji Xu, Tieying Zhang, Guoliang Li, Fan Wu
2025	J	`jnl`	Expert-as-a-Service: Towards Efficient, Scalable, and Robust Large-scale MoE Serving. CoRR Ziming Liu, Boyu Tian, Guoteng Wang, Zhen Jiang, Peng Sun, Zhenhua Han, Tian Tang, Xiaohe Hu, Yanmin Jia, Yan Zhang, He Liu, Mingjun Zhang, Yiqi Zhang, Qiaoling Chen, Shenggan Cheng, Mingyu Gao, Yang You, Siyuan Feng
2025	J	`jnl`	GreenFlow: A Carbon-Efficient Scheduler for Deep Learning Workloads. IEEE Trans. Parallel Distributed Syst. Diandian Gu, Yihao Zhao, Peng Sun, Xin Jin, Xuanzhe Liu
2025	J	`jnl`	IceFrog: A Layer-Elastic Scheduling System for Deep Learning Training in GPU Clusters. IEEE Trans. Parallel Distributed Syst. Wei Gao, Zhuoyuan Ouyang, Peng Sun, Tianwei Zhang, Yonggang Wen
2025	A*	`conf`	Parrot: A Training Pipeline Enhances Both Program CoT and Natural Language CoT for Reasoning. EMNLP Senjie Jin, Lu Chen, Zhiheng Xi, Yuhui Wang, Sirui Song, Yuhao Zhou, Xinbo Zhang, Peng Sun, Hong Lu, Tao Gui, Qi Zhang, Xuanjing Huang
2025	J	`jnl`	Parrot: A Training Pipeline Enhances Both Program CoT and Natural Language CoT for Reasoning. CoRR Senjie Jin, Lu Chen, Zhiheng Xi, Yuhui Wang, Sirui Song, Yuhao Zhou, Xinbo Zhang, Peng Sun, Hong Lu, Tao Gui, Qi Zhang, Xuanjing Huang
2025	J	`jnl`	RL in the Wild: Characterizing RLVR Training in LLM Deployment. CoRR Jiecheng Zhou, Qinghao Hu, Yuyang Jin, Zerui Wang, Peng Sun, Yuzhe Gu, Wenwei Zhang, Mingshu Zhai, Xingcheng Zhang, Weiming Zhang
2025	J	`jnl`	ReSpec: Towards Optimizing Speculative Decoding in Reinforcement Learning Systems. CoRR Qiaoling Chen, Zijun Liu, Peng Sun, Shenggui Li, Guoteng Wang, Ziming Liu, Yonggang Wen, Siyuan Feng, Tianwei Zhang
2025	—	`conf`	Rethinking Key-Value Cache Compression Techniques for Large Language Model Serving. MLSys Wei Gao, Xinyu Zhou, Peng Sun, Tianwei Zhang, Yonggang Wen
2025	J	`jnl`	Rethinking Key-Value Cache Compression Techniques for Large Language Model Serving. CoRR Wei Gao, Xinyu Zhou, Peng Sun, Tianwei Zhang, Yonggang Wen
2025	J	`jnl`	SPPO:Efficient Long-sequence LLM Training via Adaptive Sequence Pipeline Parallel Offloading. CoRR Qiaoling Chen, Shenggui Li, Wei Gao, Peng Sun, Yonggang Wen, Tianwei Zhang
2025	J	`jnl`	SeaLLM: Service-Aware and Latency-Optimized Resource Sharing for Large Language Model Inference. CoRR Yihao Zhao, Jiadun Chen, Peng Sun, Lei Li, Xuanzhe Liu, Xin Jin
2025	J	`jnl`	Semantic-Aware Scheduling for GPU Clusters with Large Language Models. CoRR Zerui Wang, Qinghao Hu, Ana Klimovic, Tianwei Zhang, Yonggang Wen, Peng Sun, Dahua Lin
2025	J	`jnl`	Zeppelin: Balancing Variable-length Workloads in Data Parallel Large Model Training. CoRR Chang Chen, Tiancheng Chen, Jiangfei Duan, Qianchao Zhu, Zerui Wang, Qinghao Hu, Peng Sun, Xiuhong Li, Chao Yang, Torsten Hoefler
2024	A	`conf`	AutoSched: An Adaptive Self-configured Framework for Scheduling Deep Learning Training Workloads. ICS Wei Gao, Xu Zhang, Shan Huang, Shangwei Guo, Peng Sun, Yonggang Wen, Tianwei Zhang
2024	—	`conf`	Centauri: Enabling Efficient Scheduling for Communication-Computation Overlap in Large Model Training via Communication Partitioning. ASPLOS (3) Chang Chen, Xiuhong Li, Qianchao Zhu, Jiangfei Duan, Peng Sun, Xingcheng Zhang, Chao Yang
2024	Misc	`conf`	Characterization of Large Language Model Development in the Datacenter. NSDI Qinghao Hu, Zhisheng Ye, Zerui Wang, Guoteng Wang, Meng Zhang, Qiaoling Chen, Peng Sun, Dahua Lin, Xiaolin Wang, Yingwei Luo, Yonggang Wen, Tianwei Zhang
2024	J	`jnl`	Characterization of Large Language Model Development in the Datacenter. CoRR Qinghao Hu, Zhisheng Ye, Zerui Wang, Guoteng Wang, Meng Zhang, Qiaoling Chen, Peng Sun, Dahua Lin, Xiaolin Wang, Yingwei Luo, Yonggang Wen, Tianwei Zhang
2024	J	`jnl`	Deep Learning Workload Scheduling in GPU Datacenters: A Survey. ACM Comput. Surv. Zhisheng Ye, Wei Gao, Qinghao Hu, Peng Sun, Xiaolin Wang, Yingwei Luo, Tianwei Zhang, Yonggang Wen
2024	J	`jnl`	Efficient Training of Large Language Models on Distributed Infrastructures: A Survey. CoRR Jiangfei Duan, Shuo Zhang, Zerui Wang, Lijuan Jiang, Wenwen Qu, Qinghao Hu, Guoteng Wang, Qizhen Weng, Hang Yan, Xingcheng Zhang, Xipeng Qiu, Dahua Lin, Yonggang Wen, Xin Jin, Tianwei Zhang, Peng Sun
2024	A*	`conf`	FedDSE: Distribution-aware Sub-model Extraction for Federated Learning over Resource-constrained Devices. WWW Haozhao Wang, Yabo Jia, Meng Zhang, Qinghao Hu, Hao Ren, Peng Sun, Yonggang Wen, Tianwei Zhang
2024	J	`jnl`	InternEvo: Efficient Long-sequence Large Language Model Training via Hybrid Parallelism and Redundant Sharding. CoRR Qiaoling Chen, Diandian Gu, Guoteng Wang, Xun Chen, Yingtong Xiong, Ting Huang, Qinghao Hu, Xin Jin, Yonggang Wen, Tianwei Zhang, Peng Sun
2024	J	`jnl`	InternLM-XComposer-2.5: A Versatile Large Vision Language Model Supporting Long-Contextual Input and Output. CoRR Pan Zhang, Xiaoyi Dong, Yuhang Zang, Yuhang Cao, Rui Qian, Lin Chen, Qipeng Guo, Haodong Duan, Bin Wang, Linke Ouyang, Songyang Zhang, Wenwei Zhang, Yining Li, Yang Gao, Peng Sun, Xinyue Zhang, Wei Li, Jingwen Li, Wenhai Wang, Hang Yan, Conghui He, Xingcheng Zhang, Kai Chen, Jifeng Dai, Yu Qiao, Dahua Lin, Jiaqi Wang
2024	J	`jnl`	InternLM2 Technical Report. CoRR Zheng Cai, Maosong Cao, Haojiong Chen, Kai Chen, Keyu Chen, Xin Chen, Xun Chen, Zehui Chen, Zhi Chen, Pei Chu, Xiaoyi Dong, Haodong Duan, Qi Fan, Zhaoye Fei, Yang Gao, Jiaye Ge, Chenya Gu, Yuzhe Gu, Tao Gui, Aijia Guo, Qipeng Guo, Conghui He, Yingfan Hu, Ting Huang, Tao Jiang, Penglong Jiao, Zhenjiang Jin, Zhikai Lei, Jiaxing Li, Jingwen Li, Linyang Li, Shuaibin Li, Wei Li, Yining Li, Hongwei Liu, Jiangning Liu, Jiawei Hong, Kaiwen Liu, Kuikun Liu, Xiaoran Liu, Chengqi Lv, Haijun Lv, Kai Lv, Li Ma, Runyuan Ma, Zerun Ma, Wenchang Ning, Linke Ouyang, Jiantao Qiu, Yuan Qu, Fukai Shang, Yunfan Shao, Demin Song, Zifan Song, Zhihao Sui, Peng Sun, Yu Sun, Huanze Tang, Bin Wang, Guoteng Wang, Jiaqi Wang, Jiayu Wang, Rui Wang, Yudong Wang, Ziyi Wang, Xingjian Wei, Qizhen Weng, Fan Wu, Yingtong Xiong, Xiaomeng Zhao, et al.
2024	B	`conf`	Lins: Reducing Communication Overhead of ZeRO for Efficient LLM Training. IWQoS Qiaoling Chen, Qinghao Hu, Guoteng Wang, Yingtong Xiong, Ting Huang, Xun Chen, Yang Gao, Hang Yan, Yonggang Wen, Tianwei Zhang, Peng Sun
2024	A*	`conf`	LoongServe: Efficiently Serving Long-Context Large Language Models with Elastic Sequence Parallelism. SOSP Bingyang Wu, Shengyu Liu, Yinmin Zhong, Peng Sun, Xuanzhe Liu, Xin Jin
2024	J	`jnl`	LoongServe: Efficiently Serving Long-context Large Language Models with Elastic Sequence Parallelism. CoRR Bingyang Wu, Shengyu Liu, Yinmin Zhong, Peng Sun, Xuanzhe Liu, Xin Jin
2024	J	`jnl`	LoongTrain: Efficient Training of Long-Sequence LLMs with Head-Context Parallelism. CoRR Diandian Gu, Peng Sun, Qinghao Hu, Ting Huang, Xun Chen, Yingtong Xiong, Guoteng Wang, Qiaoling Chen, Shangchun Zhao, Jiarui Fang, Yonggang Wen, Tianwei Zhang, Xin Jin, Xuanzhe Liu
2024	A*	`conf`	Sylvie: 3D-Adaptive and Universal System for Large-Scale Graph Neural Network Training. ICDE Meng Zhang, Qinghao Hu, Cheng Wan, Haozhao Wang, Peng Sun, Yonggang Wen, Tianwei Zhang
2024	A	`conf`	TorchGT: A Holistic System for Large-Scale Graph Transformer Training. SC Meng Zhang, Jie Sun, Qinghao Hu, Peng Sun, Zeke Wang, Yonggang Wen, Tianwei Zhang
2024	J	`jnl`	TorchGT: A Holistic System for Large-scale Graph Transformer Training. CoRR Meng Zhang, Jie Sun, Qinghao Hu, Peng Sun, Zeke Wang, Yonggang Wen, Tianwei Zhang
2024	A*	`conf`	Training Large Language Models for Reasoning through Reverse Curriculum Reinforcement Learning. ICML Zhiheng Xi, Wenxiang Chen, Boyang Hong, Senjie Jin, Rui Zheng, Wei He, Yiwen Ding, Shichun Liu, Xin Guo, Junzhe Wang, Honglin Guo, Wei Shen, Xiaoran Fan, Yuhao Zhou, Shihan Dou, Xiao Wang, Xinbo Zhang, Peng Sun, Tao Gui, Qi Zhang, Xuanjing Huang
2024	J	`jnl`	Training Large Language Models for Reasoning through Reverse Curriculum Reinforcement Learning. CoRR Zhiheng Xi, Wenxiang Chen, Boyang Hong, Senjie Jin, Rui Zheng, Wei He, Yiwen Ding, Shichun Liu, Xin Guo, Junzhe Wang, Honglin Guo, Wei Shen, Xiaoran Fan, Yuhao Zhou, Shihan Dou, Xiao Wang, Xinbo Zhang, Peng Sun, Tao Gui, Qi Zhang, Xuanjing Huang
2024	J	`jnl`	UniSched: A Unified Scheduler for Deep Learning Training Jobs With Different User Demands. IEEE Trans. Computers Wei Gao, Zhisheng Ye, Peng Sun, Tianwei Zhang, Yonggang Wen
2024	A	`conf`	Ymir: A Scheduler for Foundation Model Fine-tuning Workloads in Datacenters. ICS Wei Gao, Weiming Zhuang, Minghao Li, Peng Sun, Yonggang Wen, Tianwei Zhang
2024	A*	`conf`	dLoRA: Dynamically Orchestrating Requests and Adapters for LoRA LLM Serving. OSDI Bingyang Wu, Ruidong Zhu, Zili Zhang, Peng Sun, Xuanzhe Liu, Xin Jin
2023	J	`jnl`	AMSP: Super-Scaling LLM Training via Advanced Model States Partitioning. CoRR Qiaoling Chen, Qinghao Hu, Zhisheng Ye, Guoteng Wang, Peng Sun, Yonggang Wen, Tianwei Zhang
2023	J	`jnl`	Boosting Distributed Full-graph GNN Training with Asynchronous One-bit Communication. CoRR Meng Zhang, Qinghao Hu, Peng Sun, Yonggang Wen, Tianwei Zhang
2023	A*	`conf`	Hydro: Surrogate-Based Hyperparameter Tuning Service in Datacenters. OSDI Qinghao Hu, Zhisheng Ye, Meng Zhang, Qiaoling Chen, Peng Sun, Yonggang Wen, Tianwei Zhang
2023	—	`conf`	Lucid: A Non-intrusive, Scalable and Interpretable Scheduler for Deep Learning Training Jobs. ASPLOS (2) Qinghao Hu, Meng Zhang, Peng Sun, Yonggang Wen, Tianwei Zhang
2022	J	`jnl`	A Simulation Platform for Multi-tenant Machine Learning Services on Thousands of GPUs. CoRR Ruofan Liang, Bingsheng He, Shengen Yan, Peng Sun
2022	J	`jnl`	Astraea: A Fair Deep Learning Scheduler for Multi-Tenant GPU Clusters. IEEE Trans. Parallel Distributed Syst. Zhisheng Ye, Peng Sun, Wei Gao, Tianwei Zhang, Xiaolin Wang, Shengen Yan, Yingwei Luo
2022	J	`jnl`	Deep Learning Workload Scheduling in GPU Datacenters: Taxonomy, Challenges and Vision. CoRR Wei Gao, Qinghao Hu, Zhisheng Ye, Peng Sun, Xiaolin Wang, Yingwei Luo, Tianwei Zhang, Yonggang Wen
2022	J	`jnl`	GradientFlow: Optimizing Network Performance for Large-Scale Distributed DNN Training. IEEE Trans. Big Data Peng Sun, Yonggang Wen, Ruobing Han, Wansen Feng, Shengen Yan
2022	—	`conf`	Primo: Practical Learning-Augmented Systems with Interpretable Models. USENIX ATC Qinghao Hu, Harsha Nori, Peng Sun, Yonggang Wen, Tianwei Zhang
2022	—	`conf`	Titan: a scheduler for foundation model fine-tuning workloads. SoCC Wei Gao, Peng Sun, Yonggang Wen, Tianwei Zhang
2021	J	`jnl`	Characterization and Prediction of Deep Learning Workloads in Large-Scale GPU Datacenters. CoRR Qinghao Hu, Peng Sun, Shengen Yan, Yonggang Wen, Tianwei Zhang
2021	A	`conf`	Characterization and prediction of deep learning workloads in large-scale GPU datacenters. SC Qinghao Hu, Peng Sun, Shengen Yan, Yonggang Wen, Tianwei Zhang
2021	—	`conf`	Chronus: A Novel Deadline-aware Scheduler for Deep Learning Training Jobs. SoCC Wei Gao, Zhisheng Ye, Peng Sun, Yonggang Wen, Tianwei Zhang
2021	J	`jnl`	ModelCI-e: Enabling Continual Learning in Deep Learning Serving Systems. CoRR Yizheng Huang, Huaizheng Zhang, Yonggang Wen, Peng Sun, Nguyen Binh Duong Ta
2020	A	`conf`	Elan: Towards Generic and Efficient Elastic Training for Deep Learning. ICDCS Lei Xie, Jidong Zhai, Baodong Wu, Yuanbo Wang, Xingcheng Zhang, Peng Sun, Shengen Yan
2020	J	`jnl`	GraphMP: I/O-Efficient Big Graph Analytics on a Single Commodity Machine. IEEE Trans. Big Data Peng Sun, Yonggang Wen, Ta Nguyen Binh Duong, Xiaokui Xiao
2019	J	`jnl`	Optimizing Network Performance for Distributed DNN Training on GPU Clusters: ImageNet/AlexNet Training in 1.5 Minutes. CoRR Peng Sun, Wansen Feng, Ruobing Han, Shengen Yan, Yonggang Wen
2019	—	`ch.`	Scalable Architectures for Big Data Analysis. Encyclopedia of Big Data Technologies Peng Sun, Yonggang Wen
2018	J	`jnl`	GraphMP: I/O-Efficient Big Graph Analytics on a Single Commodity Machine. CoRR Peng Sun, Yonggang Wen, Ta Nguyen Binh Duong, Xiaokui Xiao
2018	J	`jnl`	MetaFlow: A Scalable Metadata Lookup Service for Distributed File Systems in Data Centers. IEEE Trans. Big Data Peng Sun, Yonggang Wen, Duong Nguyen Binh Ta, Haiyong Xie
2018	J	`jnl`	On Distributed Algorithms for Cost-Efficient Data Center Placement in Cloud Computing. CoRR Wuqiong Luo, Wee Peng Tay, Peng Sun, Yonggang Wen
2018	—	`conf`	Speeding-Up Age Estimation in Intelligent Demographics System via Network Optimization. ICC Zhenzhen Hu, Peng Sun, Yonggang Wen
2018	J	`jnl`	Speeding-up Age Estimation in Intelligent Demographics System via Network Optimization. CoRR Zhenzhen Hu, Peng Sun, Yonggang Wen
2017	C	`conf`	GraphH: High Performance Big Graph Analytics in Small Clusters. CLUSTER Peng Sun, Yonggang Wen, Ta Nguyen Binh Duong, Xiaokui Xiao
2017	J	`jnl`	GraphH: High Performance Big Graph Analytics in Small Clusters. CoRR Peng Sun, Yonggang Wen, Ta Nguyen Binh Duong, Xiaokui Xiao
2017	B	`conf`	GraphMP: An Efficient Semi-External-Memory Big Graph Processing System on a Single Machine. ICPADS Peng Sun, Yonggang Wen, Ta Nguyen Binh Duong, Xiaokui Xiao
2017	J	`jnl`	GraphMP: An Efficient Semi-External-Memory Big Graph Processing System on a Single Machine. CoRR Peng Sun, Yonggang Wen, Ta Nguyen Binh Duong, Xiaokui Xiao
2017	B	`conf`	Towards Distributed Machine Learning in Shared Clusters: A Dynamically-Partitioned Approach. SMARTCOMP Peng Sun, Yonggang Wen, Ta Nguyen Binh Duong, Shengen Yan
2017	J	`jnl`	Towards Distributed Machine Learning in Shared Clusters: A Dynamically-Partitioned Approach. CoRR Peng Sun, Yonggang Wen, Ta Nguyen Binh Duong, Shengen Yan
2016	J	`jnl`	MetaFlow: a Scalable Metadata Lookup Service for Distributed File Systems in Data Centers. CoRR Peng Sun, Yonggang Wen, Ta Nguyen Binh Duong, Haiyong Xie
2016	B	`conf`	Timed Dataflow: Reducing Communication Overhead for Distributed Machine Learning Systems. ICPADS Peng Sun, Yonggang Wen, Ta Nguyen Binh Duong, Shengen Yan
2014	B	`conf`	CREATE: Correlation enhanced traffic matrix estimation in Data Center Networks. Networking Zhiming Hu, Yan Qiao, Jun Luo, Peng Sun, Yonggang Wen
2013	A*	`conf`	Cloud3DView: an interactive tool for cloud data center operations. SIGCOMM Jianxiong Yin, Peng Sun, Yonggang Wen, Haigang Gong, Ming Liu, Xuelong Li, Haipeng You, Jinqi Gao, Cynthia Lin