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2020 – today
- 2025
[c28]Juntao Zhao, Borui Wan, Yanghua Peng, Haibin Lin, Chuan Wu:
SplitQuant: Resource-Efficient LLM Offline Serving on Heterogeneous GPUs via Phase-Aware Model Partition and Adaptive Quantization. CLUSTER 2025: 1-11- [c27]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. EuroSys 2025: 1279-1297 - [c26]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:
Minder: Faulty Machine Detection for Large-scale Distributed Model Training. NSDI 2025: 505-521 - [c25]Borui Wan, Mingji Han, Yiyao Sheng, Yanghua Peng, Haibin Lin, Mofan Zhang, Zhichao Lai, Menghan Yu, Junda Zhang, Zuquan Song, Xin Liu, Chuan Wu:
ByteCheckpoint: A Unified Checkpointing System for Large Foundation Model Development. NSDI 2025: 559-578 - [c24]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:
Understanding Stragglers in Large Model Training Using What-if Analysis. OSDI 2025: 483-498 - [c23]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:
MegaScale-Infer: Efficient Mixture-of-Experts Model Serving with Disaggregated Expert Parallelism. SIGCOMM 2025: 592-608 - [c22]Zihan Yan, Dan Li, Li Chen, Dian Xiong, Kaihui Gao, Yiwei Zhang, Rui Yan, Menglei Zhang, Bochun Zhang, Zhuo Jiang, Jianxi Ye, Haibin Lin:
From ATOP to ZCube: Automated Topology Optimization Pipeline and A Highly Cost-Effective Network Topology for Large Model Training. SIGCOMM 2025: 861-881 - [c21]Hao Ge, Junda Feng, Qi Huang, Fangcheng Fu, Xiaonan Nie, Lei Zuo, Haibin Lin, Bin Cui, Xin Liu:
ByteScale: Communication-Efficient Scaling of LLM Training with a 2048K Context Length on 16384 GPUs. SIGCOMM 2025: 963-978 - [c20]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:
Robust LLM Training Infrastructure at ByteDance. SOSP 2025: 186-203 - [c19]Weiqi Feng, Yangrui Chen, Shaoyu Wang, Yanghua Peng, Haibin Lin, Minlan Yu:
Optimus: Accelerating Large-Scale Multi-Modal LLM Training by Bubble Exploitation. USENIX ATC 2025: 161-177 - [i41]Shulai Zhang, Ningxin Zheng, Haibin Lin, Ziheng Jiang, Wenlei Bao, Chengquan Jiang, Qi Hou, Weihao Cui, Size Zheng, Li-Wen Chang, Quan Chen, Xin Liu:
Comet: Fine-grained Computation-communication Overlapping for Mixture-of-Experts. CoRR abs/2502.19811 (2025) - [i40]Hao Ge, Junda Feng, Qi Huang, Fangcheng Fu, Xiaonan Nie, Lei Zuo, Haibin Lin, Bin Cui, Xin Liu:
ByteScale: Efficient Scaling of LLM Training with a 2048K Context Length on More Than 12,000 GPUs. CoRR abs/2502.21231 (2025) - [i39]Qiying Yu, Zheng Zhang, Ruofei Zhu, Yufeng Yuan, Xiaochen Zuo, Yu Yue, Tiantian Fan, Gaohong Liu, Lingjun Liu, Xin Liu, Haibin Lin, Zhiqi Lin, Bole Ma, Guangming Sheng, Yuxuan Tong, Chi Zhang, Mofan Zhang, Wang Zhang, Hang Zhu, Jinhua Zhu, Jiaze Chen, Jiangjie Chen, Chengyi Wang, Hongli Yu, Weinan Dai, Yuxuan Song, Xiangpeng Wei, Hao Zhou, Jingjing Liu, Wei-Ying Ma, Ya-Qin Zhang, Lin Yan, Mu Qiao, Yonghui Wu, Mingxuan Wang:
DAPO: An Open-Source LLM Reinforcement Learning System at Scale. CoRR abs/2503.14476 (2025) - [i38]Size Zheng, Jin Fang, Xuegui Zheng, Qi Hou, Wenlei Bao, Ningxin Zheng, Ziheng Jiang, Dongyang Wang, Jianxi Ye, Haibin Lin, Li-Wen Chang, Xin Liu:
TileLink: Generating Efficient Compute-Communication Overlapping Kernels using Tile-Centric Primitives. CoRR abs/2503.20313 (2025) - [i37]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:
MegaScale-Infer: Serving Mixture-of-Experts at Scale with Disaggregated Expert Parallelism. CoRR abs/2504.02263 (2025) - [i36]Yu Yue, Yufeng Yuan, Qiying Yu, Xiaochen Zuo, Ruofei Zhu, Wenyuan Xu, Jiaze Chen, Cheng-Xiang Wang, Tiantian Fan, Zhengyin Du, Xiangpeng Wei, Xiangyu Yu, Gaohong Liu, Juncai Liu, Lingjun Liu, Haibin Lin, Zhiqi Lin, Bole Ma, Chi Zhang, Mofan Zhang, Wang Zhang, Hang Zhu, Ru Zhang, Xin Liu, Mingxuan Wang, Yonghui Wu, Lin Yan:
VAPO: Efficient and Reliable Reinforcement Learning for Advanced Reasoning Tasks. CoRR abs/2504.05118 (2025) - [i35]Juntao Zhao, Qi Lu, Wei Jia, Borui Wan, Lei Zuo, Junda Feng, Jianyu Jiang, Yangrui Chen, Shuaishuai Cao, Jialing He, Kaihua Jiang, Yuanzhe Hu, Yanghua Peng, Haibin Lin, Xin Liu, Chuan Wu:
OVERLORD: Ultimate Scaling of DataLoader for Multi-Source Large Foundation Model Training. CoRR abs/2504.09844 (2025) - [i34]Size Zheng, Wenlei Bao, Qi Hou, Xuegui Zheng, Jin Fang, Chenhui Huang, Tianqi Li, Haojie Duanmu, Renze Chen, Ruifan Xu, Yifan Guo, Ningxin Zheng, Ziheng Jiang, Xinyi Di, Dongyang Wang, Jianxi Ye, Haibin Lin, Li-Wen Chang, Liqiang Lu, Yun Liang, Jidong Zhai, Xin Liu:
Triton-distributed: Programming Overlapping Kernels on Distributed AI Systems with the Triton Compiler. CoRR abs/2504.19442 (2025) - [i33]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:
Understanding Stragglers in Large Model Training Using What-if Analysis. CoRR abs/2505.05713 (2025) - [i32]Dong Guo, Faming Wu, Feida Zhu, Fuxing Leng, Guang Shi, Haobin Chen, Haoqi Fan, Jian Wang, Jianyu Jiang, Jiawei Wang, Jingji Chen, Jingjia Huang, Kang Lei, Liping Yuan, Lishu Luo, Pengfei Liu, Qinghao Ye, Rui Qian, Shen Yan, Shixiong Zhao, Shuai Peng, Shuangye Li, Sihang Yuan, Sijin Wu, Tianheng Cheng, Weiwei Liu, Wenqian Wang, Xianhan Zeng, Xiao Liu, Xiaobo Qin, Xiaohan Ding, Xiaojun Xiao, Xiaoying Zhang, Xuanwei Zhang, Xuehan Xiong, Yanghua Peng, Yangrui Chen, Yanwei Li, Yanxu Hu, Yi Lin, Yiyuan Hu, Yiyuan Zhang, Youbin Wu, Yu Li, Yudong Liu, Yue Ling, Yujia Qin, Zanbo Wang, Zhiwu He, Aoxue Zhang, Bairen Yi, Bencheng Liao, Can Huang, Can Zhang, Chaorui Deng, Chaoyi Deng, Cheng Lin, Cheng Yuan, Chenggang Li, Chenhui Gou, Chenwei Lou, Chengzhi Wei, Chundian Liu, Chunyuan Li, Deyao Zhu, Donghong Zhong, Feng Li, Feng Zhang, Gang Wu, Guodong Li, Guohong Xiao, Haibin Lin, Haihua Yang, Haoming Wang, Heng Ji, Hongxiang Hao, Hui Shen, Huixia Li, Jiahao Li, Jialong Wu, Jianhua Zhu, Jianpeng Jiao, Jiashi Feng, Jiaze Chen, Jianhui Duan, Jihao Liu, Jin Zeng, Jingqun Tang, Jingyu Sun, Joya Chen, Jun Long, Junda Feng, Junfeng Zhan, Junjie Fang, Junting Lu, Kai Hua, Kai Liu, Kai Shen, Kaiyuan Zhang, Ke Shen:
Seed1.5-VL Technical Report. CoRR abs/2505.07062 (2025) - [i31]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, Yanghua Peng, Haibin Lin, Xuanzhe Liu, Xin Jin, Xin Liu:
MegaScale-MoE: Large-Scale Communication-Efficient Training of Mixture-of-Experts Models in Production. CoRR abs/2505.11432 (2025) - [i30]Ziyi Zhang, Ziheng Jiang, Chengquan Jiang, Menghan Yu, Size Zheng, Haibin Lin, Henry Hoffmann, Xin Liu:
SwiftSpec: Ultra-Low Latency LLM Decoding by Scaling Asynchronous Speculative Decoding. CoRR abs/2506.11309 (2025) - [i29]Zhanghan Wang, Ding Ding, Hang Zhu, Haibin Lin, Aurojit Panda:
Verify Distributed Deep Learning Model Implementation Refinement with Iterative Relation Inference. CoRR abs/2508.09505 (2025) - [i28]Youjie Li, Cheng Wan, Zhiqi Lin, Hongyu Zhu, Jiacheng Yang, Ziang Song, Xinyi Di, Jiawei Wu, Huiyao Shu, Wenlei Bao, Yanghua Peng, Haibin Lin, Li-Wen Chang:
veScale: Consistent and Efficient Tensor Programming with Eager-Mode SPMD. CoRR abs/2509.07003 (2025) - [i27]Shulai Zhang, Ao Xu, Quan Chen, Han Zhao, Weihao Cui, Ningxin Zheng, Haibin Lin, Xin Liu, Minyi Guo:
Boosting Embodied AI Agents through Perception-Generation Disaggregation and Asynchronous Pipeline Execution. CoRR abs/2509.09560 (2025) - [i26]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:
Robust LLM Training Infrastructure at ByteDance. CoRR abs/2509.16293 (2025) - [i25]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:
Laminar: A Scalable Asynchronous RL Post-Training Framework. CoRR abs/2510.12633 (2025) - [i24]Yuyang Ding, Chi Zhang, Juntao Li, Haibin Lin, Xin Liu, Min Zhang:
FAPO: Flawed-Aware Policy Optimization for Efficient and Reliable Reasoning. CoRR abs/2510.22543 (2025) - 2024
- [c18]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 - [c17]Yite Wang, Jiahao Su, Hanlin Lu, Cong Xie, Tianyi Liu, Jianbo Yuan, Haibin Lin, Ruoyu Sun, Hongxia Yang:
LEMON: Lossless model expansion. ICLR 2024 - [c16]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 - [c15]Jinda Jia, Cong Xie, Hanlin Lu, Daoce Wang, Hao Feng, Chengming Zhang, Baixi Sun, Haibin Lin, Zhi Zhang, Xin Liu, Dingwen Tao:
SDP4Bit: Toward 4-bit Communication Quantization in Sharded Data Parallelism for LLM Training. NeurIPS 2024 - [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 - [i23]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) - [i22]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) - [i21]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) - [i20]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) - [i19]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) - [i18]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) - [i17]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) - [i16]Jinda Jia, Cong Xie, Hanlin Lu, Daoce Wang, Hao Feng, Chengming Zhang, Baixi Sun, Haibin Lin, Zhi Zhang, Xin Liu, Dingwen Tao:
SDP4Bit: Toward 4-bit Communication Quantization in Sharded Data Parallelism for LLM Training. CoRR abs/2410.15526 (2024) - [i15]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:
Minder: Faulty Machine Detection for Large-scale Distributed Model Training. CoRR abs/2411.01791 (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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