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2020 – today
- 2024
[c17]Hanpeng Hu
, Junwei Su, Juntao Zhao, Yanghua Peng, Yibo Zhu, Haibin Lin, Chuan Wu:
CDMPP: A Device-Model Agnostic Framework for Latency Prediction of Tensor Programs. EuroSys 2024: 1054-1074- [c16]Yite Wang, Jiahao Su, Hanlin Lu, Cong Xie, Tianyi Liu, Jianbo Yuan, Haibin Lin, Ruoyu Sun, Hongxia Yang:
LEMON: Lossless model expansion. ICLR 2024 - [c15]Juntao Zhao, Borui Wan, Yanghua Peng, Haibin Lin, Yibo Zhu, Chuan Wu:
QSync: Quantization-Minimized Synchronous Distributed Training Across Hybrid Devices. IPDPS 2024: 193-204 - [c14]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:
MegaScale: Scaling Large Language Model Training to More Than 10, 000 GPUs. NSDI 2024: 745-760 - [c13]Juntao Zhao, Borui Wan, Chuan Wu, Yanghua Peng, Haibin Lin:
POSTER: LLM-PQ: Serving LLM on Heterogeneous Clusters with Phase-Aware Partition and Adaptive Quantization. PPoPP 2024: 460-462 - [i21]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:
MegaScale: Scaling Large Language Model Training to More Than 10, 000 GPUs. CoRR abs/2402.15627 (2024) - [i20]Juntao Zhao, Borui Wan, Yanghua Peng, Haibin Lin, Chuan Wu:
LLM-PQ: Serving LLM on Heterogeneous Clusters with Phase-Aware Partition and Adaptive Quantization. CoRR abs/2403.01136 (2024) - [i19]Li-Wen Chang, Wenlei Bao, Qi Hou, Chengquan Jiang, Ningxin Zheng, Yinmin Zhong, Xuanrun Zhang, Zuquan Song, Ziheng Jiang, Haibin Lin, Xin Jin, Xin Liu:
FLUX: Fast Software-based Communication Overlap On GPUs Through Kernel Fusion. CoRR abs/2406.06858 (2024) - [i18]Juntao Zhao, Borui Wan, Yanghua Peng, Haibin Lin, Yibo Zhu, Chuan Wu:
QSync: Quantization-Minimized Synchronous Distributed Training Across Hybrid Devices. CoRR abs/2407.02327 (2024) - [i17]Borui Wan, Mingji Han, Yiyao Sheng, Zhichao Lai, Mofan Zhang, Junda Zhang, Yanghua Peng, Haibin Lin, Xin Liu, Chuan Wu:
ByteCheckpoint: A Unified Checkpointing System for LLM Development. CoRR abs/2407.20143 (2024) - [i16]Weiqi Feng, Yangrui Chen, Shaoyu Wang, Yanghua Peng, Haibin Lin, Minlan Yu:
Optimus: Accelerating Large-Scale Multi-Modal LLM Training by Bubble Exploitation. CoRR abs/2408.03505 (2024) - [i15]Guangming Sheng, Chi Zhang, Zilingfeng Ye, Xibin Wu, Wang Zhang, Ru Zhang, Yanghua Peng, Haibin Lin, Chuan Wu:
HybridFlow: A Flexible and Efficient RLHF Framework. CoRR abs/2409.19256 (2024) - 2023
- [c12]Zhuang Wang, Haibin Lin, Yibo Zhu, T. S. Eugene Ng:
Hi-Speed DNN Training with Espresso: Unleashing the Full Potential of Gradient Compression with Near-Optimal Usage Strategies. EuroSys 2023: 867-882 - [i14]Yite Wang, Jiahao Su, Hanlin Lu, Cong Xie, Tianyi Liu, Jianbo Yuan, Haibin Lin, Ruoyu Sun, Hongxia Yang:
LEMON: Lossless model expansion. CoRR abs/2310.07999 (2023) - [i13]Hanpeng Hu, Junwei Su, Juntao Zhao, Yanghua Peng, Yibo Zhu, Haibin Lin, Chuan Wu:
CDMPP: A Device-Model Agnostic Framework for Latency Prediction of Tensor Programs. CoRR abs/2311.09690 (2023) - 2022
- [b1]Wenhua Huang, Haibin Lin:
The World of 5G - Volume 5: Intelligent Medicine. WorldScientific 2022, ISBN 9789811244193, pp. 1-132 - [c11]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:
ResNeSt: Split-Attention Networks. CVPR Workshops 2022: 2735-2745 - [c10]Hanpeng Hu, Chenyu Jiang, Yuchen Zhong, Yanghua Peng, Chuan Wu, Yibo Zhu, Haibin Lin, Chuanxiong Guo:
dPRO: A Generic Performance Diagnosis and Optimization Toolkit for Expediting Distributed DNN Training. MLSys 2022 - [c9]Yangrui Chen, Cong Xie, Meng Ma, Juncheng Gu, Yanghua Peng, Haibin Lin, Chuan Wu, Yibo Zhu:
SAPipe: Staleness-Aware Pipeline for Data Parallel DNN Training. NeurIPS 2022 - [i12]Hanpeng Hu, Chenyu Jiang, Yuchen Zhong, Yanghua Peng, Chuan Wu, Yibo Zhu, Haibin Lin, Chuanxiong Guo:
dPRO: A Generic Profiling and Optimization System for Expediting Distributed DNN Training. CoRR abs/2205.02473 (2022) - [i11]Zhuang Wang, Haibin Lin, Yibo Zhu, T. S. Eugene Ng:
Espresso: Revisiting Gradient Compression from the System Perspective. CoRR abs/2205.14465 (2022) - 2021
- [i10]Yuchen Zhong, Cong Xie, Shuai Zheng, Haibin Lin:
Compressed Communication for Distributed Training: Adaptive Methods and System. CoRR abs/2105.07829 (2021) - 2020
- [j1]Jian Guo, He He, Tong He, Leonard Lausen, Mu Li, Haibin Lin, Xingjian Shi, Chenguang Wang, Junyuan Xie, Sheng Zha, Aston Zhang, Hang Zhang, Zhi Zhang, Zhongyue Zhang, Shuai Zheng, Yi Zhu:
GluonCV and GluonNLP: Deep Learning in Computer Vision and Natural Language Processing. J. Mach. Learn. Res. 21: 23:1-23:7 (2020) - [c8]Yifei Ma, Balakrishnan (Murali) Narayanaswamy, Haibin Lin, Hao Ding:
Temporal-Contextual Recommendation in Real-Time. KDD 2020: 2291-2299 - [c7]Cong Xie, Shuai Zheng, Oluwasanmi Koyejo, Indranil Gupta, Mu Li, Haibin Lin:
CSER: Communication-efficient SGD with Error Reset. NeurIPS 2020 - [c6]Zhen Zhang, Chaokun Chang, Haibin Lin, Yida Wang, Raman Arora, Xin Jin:
Is Network the Bottleneck of Distributed Training? NetAI@SIGCOMM 2020: 8-13 - [i9]Hang Zhang, Chongruo Wu, Zhongyue Zhang, Yi Zhu, Zhi Zhang, Haibin Lin, Yue Sun, Tong He, Jonas Mueller, R. Manmatha, Mu Li, Alexander J. Smola:
ResNeSt: Split-Attention Networks. CoRR abs/2004.08955 (2020) - [i8]Zhen Zhang, Chaokun Chang, Haibin Lin, Yida Wang, Raman Arora, Xin Jin:
Is Network the Bottleneck of Distributed Training? CoRR abs/2006.10103 (2020) - [i7]Shuai Zheng, Haibin Lin, Sheng Zha, Mu Li:
Accelerated Large Batch Optimization of BERT Pretraining in 54 minutes. CoRR abs/2006.13484 (2020) - [i6]Cong Xie, Shuai Zheng, Oluwasanmi Koyejo, Indranil Gupta, Mu Li, Haibin Lin:
CSER: Communication-efficient SGD with Error Reset. CoRR abs/2007.13221 (2020)
2010 – 2019
- 2019
- [c5]Haibin Lin, Xingjian Shi, Leonard Lausen, Aston Zhang, He He, Sheng Zha, Alexander J. Smola:
Dive into Deep Learning for Natural Language Processing. EMNLP/IJCNLP (2) 2019 - [i5]Sheng Zha, Ziheng Jiang, Haibin Lin, Zhi Zhang:
Just-in-Time Dynamic-Batching. CoRR abs/1904.07421 (2019) - [i4]Haibin Lin, Hang Zhang, Yifei Ma, Tong He, Zhi Zhang, Sheng Zha, Mu Li:
Dynamic Mini-batch SGD for Elastic Distributed Training: Learning in the Limbo of Resources. CoRR abs/1904.12043 (2019) - [i3]Jian Guo, He He, Tong He, Leonard Lausen, Mu Li, Haibin Lin, Xingjian Shi, Chenguang Wang, Junyuan Xie, Sheng Zha, Aston Zhang, Hang Zhang, Zhi Zhang, Zhongyue Zhang, Shuai Zheng:
GluonCV and GluonNLP: Deep Learning in Computer Vision and Natural Language Processing. CoRR abs/1907.04433 (2019) - [i2]Minjie Wang, Lingfan Yu, Da Zheng, Quan Gan, Yu Gai, Zihao Ye, Mufei Li, Jinjing Zhou, Qi Huang, Chao Ma, Ziyue Huang, Qipeng Guo, Hao Zhang, Haibin Lin, Junbo Zhao, Jinyang Li, Alexander J. Smola, Zheng Zhang:
Deep Graph Library: Towards Efficient and Scalable Deep Learning on Graphs. CoRR abs/1909.01315 (2019) - [i1]Cong Xie, Oluwasanmi Koyejo, Indranil Gupta, Haibin Lin:
Local AdaAlter: Communication-Efficient Stochastic Gradient Descent with Adaptive Learning Rates. CoRR abs/1911.09030 (2019) - 2017
- [c4]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:
Self-Driving Database Management Systems. CIDR 2017 - 2013
- [c3]Yongwei Miao, Haibin Lin:
Visual Saliency Guided Global and Local Resizing for 3D Models. CAD/Graphics 2013: 212-219 - [c2]Yongwei Miao, Haibin Lin:
3D reconstruction of complex geometric solids from 2D line drawings. SIGGRAPH ASIA Posters 2013: 9 - [c1]Yongwei Miao, Haibin Lin:
Salience-based feature preserving resizing for 3D models. SIGGRAPH ASIA Posters 2013: 13
Coauthor Index
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