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Haibin Lin

Publication record assembled from the DBLP archive of ranked conferences.

Papers indexed

28

Venues

15

Active years

2013–2026

Best venue rank

A*

Where they publish

Papers

28 indexed papers, newest first.

YearVenueTitleAuthors
2026ASPLOSIt Takes Two to Entangle.Zhanghan Wang, Ding Ding, Hang Zhu, Haibin Lin, Aurojit Panda
2026ASPLOSSwiftSpec: Disaggregated Speculative Decoding and Fused Kernels for Low-Latency LLM Inference.Ziyi Zhang, Ziheng Jiang, Chengquan Jiang, Menghan Yu, Size Zheng, Haibin Lin, Xin Liu, Henry Hoffmann
2026EuroSysMegaScale-MoE: Large-Scale Communication-Efficient Training of Mixture-of-Experts Models in Production.Chao Jin, Ziheng Jiang, Zhihao Bai, Zheng Zhong, Juncai Liu, Xiang Li, Ningxin Zheng, Xi Wang, Cong Xie, Qi Huang, Wen Heng, Yiyuan Ma, Wenlei Bao, Size Zheng, Xuegui Zheng, Yanghua Peng, Haibin Lin, Xuanzhe Liu, Xin Jin, Xin Liu
2026EuroSysLaminar: A Scalable Asynchronous RL Post-Training Framework.Guangming Sheng, Yuxuan Tong, Borui Wan, Wang Zhang, Chaobo Jia, Xibin Wu, Yuqi Wu, Xiang Li, Chi Zhang, Yanghua Peng, Haibin Lin, Xin Liu, Chuan Wu
2026EuroSysMegaScale-Omni: A Hyper-Scale, Workload-Resilient System for MultiModal LLM Training in Production.Chunyu Xue, Yangrui Chen, Jianyu Jiang, Ningxin Zheng, Junda Feng, Jingji Chen, Shixiong Zhao, Shen Yan, Yi Lin, Lei Shi, Zanbo Wang, Lishu Luo, Faming Wu, Haibin Lin, Yanghua Peng, Xin Liu, Quan Chen
2026EuroSysMegaScale-Data: Scaling DataLoader for Multisource Large Foundation Model Training.Juntao Zhao, Qi Lu, Wei Jia, Borui Wan, Lei Zuo, Junda Feng, Jianyu Jiang, Yangrui Chen, Shuaishuai Cao, Jialing He, Kaihua Jiang, Yuanzhe Hu, Shibiao Nong, Yanghua Peng, Haibin Lin, Chuan Wu
2025CLUSTERSplitQuant: Resource-Efficient LLM Offline Serving on Heterogeneous GPUs via Phase-Aware Model Partition and Adaptive Quantization.Juntao Zhao, Borui Wan, Yanghua Peng, Haibin Lin, Chuan Wu
2025EuroSysHybridFlow: A Flexible and Efficient RLHF Framework.Guangming Sheng, Chi Zhang, Zilingfeng Ye, Xibin Wu, Wang Zhang, Ru Zhang, Yanghua Peng, Haibin Lin, Chuan Wu
2025NSDIMinder: Faulty Machine Detection for Large-scale Distributed Model Training.Yangtao Deng, Xiang Shi, Zhuo Jiang, Xingjian Zhang, Lei Zhang, Zhang Zhang, Bo Li, Zuquan Song, Hang Zhu, Gaohong Liu, Fuliang Li, Shuguang Wang, Haibin Lin, Jianxi Ye, Minlan Yu
2025NSDIByteCheckpoint: A Unified Checkpointing System for Large Foundation Model Development.Borui Wan, Mingji Han, Yiyao Sheng, Yanghua Peng, Haibin Lin, Mofan Zhang, Zhichao Lai, Menghan Yu, Junda Zhang, Zuquan Song, Xin Liu, Chuan Wu
2025OSDIUnderstanding Stragglers in Large Model Training Using What-if Analysis.Jinkun Lin, Ziheng Jiang, Zuquan Song, Sida Zhao, Menghan Yu, Zhanghan Wang, Chenyuan Wang, Zuocheng Shi, Xiang Shi, Wei Jia, Zherui Liu, Shuguang Wang, Haibin Lin, Xin Liu, Aurojit Panda, Jinyang Li
2025SIGCOMMByteScale: Communication-Efficient Scaling of LLM Training with a 2048K Context Length on 16384 GPUs.Hao Ge, Junda Feng, Qi Huang, Fangcheng Fu, Xiaonan Nie, Lei Zuo, Haibin Lin, Bin Cui, Xin Liu
2025SIGCOMMFrom ATOP to ZCube: Automated Topology Optimization Pipeline and A Highly Cost-Effective Network Topology for Large Model Training.Zihan Yan, Dan Li, Li Chen, Dian Xiong, Kaihui Gao, Yiwei Zhang, Rui Yan, Menglei Zhang, Bochun Zhang, Zhuo Jiang, Jianxi Ye, Haibin Lin
2025SIGCOMMMegaScale-Infer: Efficient Mixture-of-Experts Model Serving with Disaggregated Expert Parallelism.Ruidong Zhu, Ziheng Jiang, Chao Jin, Peng Wu, Cesar A. Stuardo, Dongyang Wang, Xinlei Zhang, Huaping Zhou, Haoran Wei, Yang Cheng, Jianzhe Xiao, Xinyi Zhang, Lingjun Liu, Haibin Lin, Li-Wen Chang, Jianxi Ye, Xiao Yu, Xuanzhe Liu, Xin Jin, Xin Liu
2025USENIXOptimus: Accelerating Large-Scale Multi-Modal LLM Training by Bubble Exploitation.Weiqi Feng, Yangrui Chen, Shaoyu Wang, Yanghua Peng, Haibin Lin, Minlan Yu
2025SOSPRobust LLM Training Infrastructure at ByteDance.Borui Wan, Gaohong Liu, Zuquan Song, Jun Wang, Yun Zhang, Guangming Sheng, Shuguang Wang, Houmin Wei, Chenyuan Wang, Weiqiang Lou, Xi Yang, Mofan Zhang, Kaihua Jiang, Cheng Ren, Xiaoyun Zhi, Menghan Yu, Zhe Nan, Zhuolin Zheng, Baoquan Zhong, Qinlong Wang, Huan Yu, Jinxin Chi, Wang Zhang, Yuhan Li, Zixian Du, Sida Zhao, Yongqiang Zhang, Jingzhe Tang, Zherui Liu, Chuan Wu, Yanghua Peng, Haibin Lin, Wencong Xiao, Xin Liu, Liang Xiang
2024EuroSysCDMPP: A Device-Model Agnostic Framework for Latency Prediction of Tensor Programs.Hanpeng Hu, Junwei Su, Juntao Zhao, Yanghua Peng, Yibo Zhu, Haibin Lin, Chuan Wu
2024ICLRLEMON: Lossless model expansion.Yite Wang, Jiahao Su, Hanlin Lu, Cong Xie, Tianyi Liu, Jianbo Yuan, Haibin Lin, Ruoyu Sun, Hongxia Yang
2024NSDIMegaScale: Scaling Large Language Model Training to More Than 10, 000 GPUs.Ziheng Jiang, Haibin Lin, Yinmin Zhong, Qi Huang, Yangrui Chen, Zhi Zhang, Yanghua Peng, Xiang Li, Cong Xie, Shibiao Nong, Yulu Jia, Sun He, Hongmin Chen, Zhihao Bai, Qi Hou, Shipeng Yan, Ding Zhou, Yiyao Sheng, Zhuo Jiang, Haohan Xu, Haoran Wei, Zhang Zhang, Pengfei Nie, Leqi Zou, Sida Zhao, Liang Xiang, Zherui Liu, Zhe Li, Xiaoying Jia, Jianxi Ye, Xin Jin, Xin Liu
2024PPoPPPOSTER: LLM-PQ: Serving LLM on Heterogeneous Clusters with Phase-Aware Partition and Adaptive Quantization.Juntao Zhao, Borui Wan, Chuan Wu, Yanghua Peng, Haibin Lin
2023EuroSysHi-Speed DNN Training with Espresso: Unleashing the Full Potential of Gradient Compression with Near-Optimal Usage Strategies.Zhuang Wang, Haibin Lin, Yibo Zhu, T. S. Eugene Ng
2022CVPRResNeSt: Split-Attention Networks.Hang Zhang, Chongruo Wu, Zhongyue Zhang, Yi Zhu, Haibin Lin, Zhi Zhang, Yue Sun, Tong He, Jonas Mueller, R. Manmatha, Mu Li, Alexander J. Smola
2020KDDTemporal-Contextual Recommendation in Real-Time.Yifei Ma, Balakrishnan (Murali) Narayanaswamy, Haibin Lin, Hao Ding
2020SIGCOMMIs Network the Bottleneck of Distributed Training?Zhen Zhang, Chaokun Chang, Haibin Lin, Yida Wang, Raman Arora, Xin Jin
2019EMNLPDive into Deep Learning for Natural Language Processing.Haibin Lin, Xingjian Shi, Leonard Lausen, Aston Zhang, He He, Sheng Zha, Alexander J. Smola
2017CIDRSelf-Driving Database Management Systems.Andrew Pavlo, Gustavo Angulo, Joy Arulraj, Haibin Lin, Jiexi Lin, Lin Ma, Prashanth Menon, Todd C. Mowry, Matthew Perron, Ian Quah, Siddharth Santurkar, Anthony Tomasic, Skye Toor, Dana Van Aken, Ziqi Wang, Yingjun Wu, Ran Xian, Tieying Zhang
2013SIGGRAPH3D reconstruction of complex geometric solids from 2D line drawings.Yongwei Miao, Haibin Lin
2013SIGGRAPHSalience-based feature preserving resizing for 3D models.Yongwei Miao, Haibin Lin