Wei Lin

According to our database, Wei Lin authored at least 96 papers between 2009 and 2024.

Collaborative distances:

• Dijkstra number of three.
• Erdős number of four.

2024

Boosting the Convergence of Reinforcement Learning-Based Auto-Pruning Using Historical Data.

Jiandong Mu, Mengdi Wang, Feiwen Zhu, Jun Yang, Wei Lin, Wei Zhang

IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., February, 2024

Rubick: Exploiting Job Reconfigurability for Deep Learning Cluster Scheduling.

Xinyi Zhang, Hanyu Zhao, Wencong Xiao, Xianyan Jia, Fei Xu, Yong Li, Wei Lin, Fangming Liu

CoRR, 2024

Adaptive Utilization of Cross-scenario Information for Multi-scenario Recommendation.

Xiufeng Shu, Ruidong Han, Xiang Li, Wei Lin

CoRR, 2024

PertEval: Unveiling Real Knowledge Capacity of LLMs with Knowledge-Invariant Perturbations.

Jiatong Li, Renjun Hu, Kunzhe Huang, Yan Zhuang, Qi Liu, Mengxiao Zhu, Xing Shi, Wei Lin

CoRR, 2024

AlphaFin: Benchmarking Financial Analysis with Retrieval-Augmented Stock-Chain Framework.

Xiang Li, Zhenyu Li, Chen Shi, Yong Xu, Qing Du, Mingkui Tan, Jun Huang, Wei Lin

CoRR, 2024

Infinite-LLM: Efficient LLM Service for Long Context with DistAttention and Distributed KVCache.

Bin Lin, Tao Peng, Chen Zhang, Minmin Sun, Lanbo Li, Hanyu Zhao, Wencong Xiao, Qi Xu, Xiafei Qiu, Shen Li, Zhigang Ji, Yong Li, Wei Lin

CoRR, 2024

MonoNN: Enabling a New Monolithic Optimization Space for Neural Network Inference Tasks on Modern GPU-Centric Architectures.

Donglin Zhuang, Zhen Zheng, Haojun Xia, Xiafei Qiu, Junjie Bai, Wei Lin, Shuaiwen Leon Song

Proceedings of the 18th USENIX Symposium on Operating Systems Design and Implementation, 2024

Llumnix: Dynamic Scheduling for Large Language Model Serving.

Biao Sun, Ziming Huang, Hanyu Zhao, Wencong Xiao, Xinyi Zhang, Yong Li, Wei Lin

Proceedings of the 18th USENIX Symposium on Operating Systems Design and Implementation, 2024

HAP: SPMD DNN Training on Heterogeneous GPU Clusters with Automated Program Synthesis.

Shiwei Zhang, Lansong Diao, Chuan Wu, Zongyan Cao, Siyu Wang, Wei Lin

Proceedings of the Nineteenth European Conference on Computer Systems, 2024

How to Trade Off the Quantity and Capacity of Teacher Ensemble: Learning Categorical Distribution to Stochastically Employ a Teacher for Distillation.

Zixiang Ding, Guoqing Jiang, Shuai Zhang, Lin Guo, Wei Lin

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

Arithmetic Feature Interaction Is Necessary for Deep Tabular Learning.

Yi Cheng, Renjun Hu, Haochao Ying, Xing Shi, Jian Wu, Wei Lin

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

BladeDISC: Optimizing Dynamic Shape Machine Learning Workloads via Compiler Approach.

Zhen Zheng, Zaifeng Pan, Dalin Wang, Kai Zhu, Wenyi Zhao, Tianyou Guo, Xiafei Qiu, Minmin Sun, Junjie Bai, Feng Zhang, Xiaoyong Du, Jidong Zhai, Wei Lin

Proc. ACM Manag. Data, September, 2023

Expediting Distributed DNN Training With Device Topology-Aware Graph Deployment.

Shiwei Zhang, Xiaodong Yi, Lansong Diao, Chuan Wu, Siyu Wang, Wei Lin

IEEE Trans. Parallel Distributed Syst., April, 2023

Flash-LLM: Enabling Low-Cost and Highly-Efficient Large Generative Model Inference With Unstructured Sparsity.

Haojun Xia, Zhen Zheng, Yuchao Li, Donglin Zhuang, Zhongzhu Zhou, Xiafei Qiu, Yong Li, Wei Lin, Shuaiwen Leon Song

Proc. VLDB Endow., 2023

GoldMiner: Elastic Scaling of Training Data Pre-Processing Pipelines for Deep Learning.

Hanyu Zhao, Zhi Yang, Yu Cheng, Chao Tian, Shiru Ren, Wencong Xiao, Man Yuan, Langshi Chen, Kaibo Liu, Yang Zhang, Yong Li, Wei Lin

Proc. ACM Manag. Data, 2023

Flash-LLM: Enabling Cost-Effective and Highly-Efficient Large Generative Model Inference with Unstructured Sparsity.

Haojun Xia, Zhen Zheng, Yuchao Li, Donglin Zhuang, Zhongzhu Zhou, Xiafei Qiu, Yong Li, Wei Lin, Shuaiwen Leon Song

CoRR, 2023

Heterogeneous Knowledge Fusion: A Novel Approach for Personalized Recommendation via LLM.

Bin Yin, Junjie Xie, Yu Qin, Zixiang Ding, Zhichao Feng, Xiang Li, Wei Lin

CoRR, 2023

Modeling Dual Period-Varying Preferences for Takeaway Recommendation.

Yuting Zhang, Yiqing Wu, Ran Le, Yongchun Zhu, Fuzhen Zhuang, Ruidong Han, Xiang Li, Wei Lin, Zhulin An, Yongjun Xu

CoRR, 2023

Dual Intent Enhanced Graph Neural Network for Session-based New Item Recommendation.

Di Jin, Luzhi Wang, Yizhen Zheng, Guojie Song, Fei Jiang, Xiang Li, Wei Lin, Shirui Pan

CoRR, 2023

Ada-Grouper: Accelerating Pipeline Parallelism in Preempted Network by Adaptive Group-Scheduling for Micro-Batches.

Siyu Wang, Zongyan Cao, Chang Si, Lansong Diao, Jiamang Wang, Wei Lin

CoRR, 2023

Auto-Parallelizing Large Models with Rhino: A Systematic Approach on Production AI Platform.

Shiwei Zhang, Lansong Diao, Siyu Wang, Zongyan Cao, Yiliang Gu, Chang Si, Ziji Shi, Zhen Zheng, Chuan Wu, Wei Lin

CoRR, 2023

TAP: Accelerating Large-Scale DNN Training Through Tensor Automatic Parallelisation.

Ziji Shi, Le Jiang, Ang Wang, Jie Zhang, Xianyan Jia, Yong Li, Chencan Wu, Jialin Li, Wei Lin

CoRR, 2023

EasyScale: Elastic Training with Consistent Accuracy and Improved Utilization on GPUs.

Mingzhen Li, Wencong Xiao, Hailong Yang, Biao Sun, Hanyu Zhao, Shiru Ren, Zhongzhi Luan, Xianyan Jia, Yi Liu, Yong Li, Wei Lin, Depei Qian

Proceedings of the International Conference for High Performance Computing, 2023

GDsmith: Detecting Bugs in Cypher Graph Database Engines.

Ziyue Hua, Wei Lin, Luyao Ren, Zongyang Li, Lu Zhang, Wenpin Jiao, Tao Xie

Proceedings of the 32nd ACM SIGSOFT International Symposium on Software Testing and Analysis, 2023

RECom: A Compiler Approach to Accelerating Recommendation Model Inference with Massive Embedding Columns.

Zaifeng Pan, Zhen Zheng, Feng Zhang, Ruofan Wu, Hao Liang, Dalin Wang, Xiafei Qiu, Junjie Bai, Wei Lin, Xiaoyong Du

Proceedings of the 28th ACM International Conference on Architectural Support for Programming Languages and Operating Systems, 2023

uGrapher: High-Performance Graph Operator Computation via Unified Abstraction for Graph Neural Networks.

Yangjie Zhou, Jingwen Leng, Yaoxu Song, Shuwen Lu, Mian Wang, Chao Li, Minyi Guo, Wenting Shen, Yong Li, Wei Lin, Xiangwen Liu, Hanqing Wu

Proceedings of the 28th ACM International Conference on Architectural Support for Programming Languages and Operating Systems, 2023

2022

Optimizing DNN Compilation for Distributed Training With Joint OP and Tensor Fusion.

Xiaodong Yi, Shiwei Zhang, Lansong Diao, Chuan Wu, Zhen Zheng, Shiqing Fan, Siyu Wang, Jun Yang, Wei Lin

IEEE Trans. Parallel Distributed Syst., 2022

An Efficient Hardware Design for Accelerating Sparse CNNs With NAS-Based Models.

Yun Liang, Liqiang Lu, Yicheng Jin, Jiaming Xie, Ruirui Huang, Jiansong Zhang, Wei Lin

IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2022

EasyScale: Accuracy-consistent Elastic Training for Deep Learning.

Mingzhen Li, Wencong Xiao, Biao Sun, Hanyu Zhao, Hailong Yang, Shiru Ren, Zhongzhi Luan, Xianyan Jia, Yi Liu, Yong Li, Depei Qian, Wei Lin

CoRR, 2022

GDsmith: Detecting Bugs in Graph Database Engines.

Wei Lin, Ziyue Hua, Luyao Ren, Zongyang Li, Lu Zhang, Tao Xie

CoRR, 2022

Whale: Efficient Giant Model Training over Heterogeneous GPUs.

Xianyan Jia, Le Jiang, Ang Wang, Wencong Xiao, Ziji Shi, Jie Zhang, Xinyuan Li, Langshi Chen, Yong Li, Zhen Zheng, Xiaoyong Liu, Wei Lin

Proceedings of the 2022 USENIX Annual Technical Conference, 2022

MLaaS in the Wild: Workload Analysis and Scheduling in Large-Scale Heterogeneous GPU Clusters.

Qizhen Weng, Wencong Xiao, Yinghao Yu, Wei Wang, Cheng Wang, Jian He, Yong Li, Liping Zhang, Wei Lin, Yu Ding

Proceedings of the 19th USENIX Symposium on Networked Systems Design and Implementation, 2022

Optimizing Federated Unsupervised Person Re-identification via Camera-aware Clustering.

Jiabei Liu, Weiming Zhuang, Yonggang Wen, Jun Huang, Wei Lin

Proceedings of the 24th IEEE International Workshop on Multimedia Signal Processing, 2022

TaintSQL: Dynamically Tracking Fine-Grained Implicit Flows for SQL Statements.

Wei Lin, Lu Zhang, Haotian Zhang, Kailai Shao, Mingming Zhang, Tao Xie

Proceedings of the IEEE 33rd International Symposium on Software Reliability Engineering, 2022

Efficient Pipeline Planning for Expedited Distributed DNN Training.

Ziyue Luo, Xiaodong Yi, Guoping Long, Shiqing Fan, Chuan Wu, Jun Yang, Wei Lin

Proceedings of the IEEE INFOCOM 2022, 2022

PICASSO: Unleashing the Potential of GPU-centric Training for Wide-and-deep Recommender Systems.

Yuanxing Zhang, Langshi Chen, Siran Yang, Man Yuan, Huimin Yi, Jie Zhang, Jiamang Wang, Jianbo Dong, Yunlong Xu, Yue Song, Yong Li, Di Zhang, Wei Lin, Lin Qu, Bo Zheng

Proceedings of the 38th IEEE International Conference on Data Engineering, 2022

EasyNLP: A Comprehensive and Easy-to-use Toolkit for Natural Language Processing.

Chengyu Wang, Minghui Qiu, Taolin Zhang, Tingting Liu, Lei Li, Jianing Wang, Ming Wang, Jun Huang, Wei Lin

Proceedings of the The 2022 Conference on Empirical Methods in Natural Language Processing, 2022

Accelerating large-scale distributed neural network training with SPMD parallelism.

Shiwei Zhang, Lansong Diao, Chuan Wu, Siyu Wang, Wei Lin

Proceedings of the 13th Symposium on Cloud Computing, SoCC 2022, 2022

AStitch: enabling a new multi-dimensional optimization space for memory-intensive ML training and inference on modern SIMT architectures.

Zhen Zheng, Xuanda Yang, Pengzhan Zhao, Guoping Long, Kai Zhu, Feiwen Zhu, Wenyi Zhao, Xiaoyong Liu, Jun Yang, Jidong Zhai, Shuaiwen Leon Song, Wei Lin

Proceedings of the ASPLOS '22: 27th ACM International Conference on Architectural Support for Programming Languages and Operating Systems, Lausanne, Switzerland, 28 February 2022, 2022

2021

DL2: A Deep Learning-Driven Scheduler for Deep Learning Clusters.

Yanghua Peng, Yixin Bao, Yangrui Chen, Chuan Wu, Chen Meng, Wei Lin

IEEE Trans. Parallel Distributed Syst., 2021

Fangorn: Adaptive Execution Framework for Heterogeneous Workloads on Shared Clusters.

Yingda Chen, Jiamang Wang, Yifeng Lu, Ying Han, Zhiqiang Lv, Xuebin Min, Hua Cai, Wei Zhang, Haochuan Fan, Chao Li, Tao Guan, Wei Lin, Yangqing Jia, Jingren Zhou

Proc. VLDB Endow., 2021

M6-10T: A Sharing-Delinking Paradigm for Efficient Multi-Trillion Parameter Pretraining.

Junyang Lin, An Yang, Jinze Bai, Chang Zhou, Le Jiang, Xianyan Jia, Ang Wang, Jie Zhang, Yong Li, Wei Lin, Jingren Zhou, Hongxia Yang

CoRR, 2021

Exploring Sparse Expert Models and Beyond.

An Yang, Junyang Lin, Rui Men, Chang Zhou, Le Jiang, Xianyan Jia, Ang Wang, Jie Zhang, Jiamang Wang, Yong Li, Di Zhang, Wei Lin, Lin Qu, Jingren Zhou, Hongxia Yang

CoRR, 2021

M6: A Chinese Multimodal Pretrainer.

Junyang Lin, Rui Men, An Yang, Chang Zhou, Ming Ding, Yichang Zhang, Peng Wang, Ang Wang, Le Jiang, Xianyan Jia, Jie Zhang, Jianwei Zhang, Xu Zou, Zhikang Li, Xiaodong Deng, Jie Liu, Jinbao Xue, Huiling Zhou, Jianxin Ma, Jin Yu, Yong Li, Wei Lin, Jingren Zhou, Jie Tang, Hongxia Yang

CoRR, 2021

Towards a Better Tradeoff between Effectiveness and Efficiency in Pre-Ranking: A Learnable Feature Selection based Approach.

Xu Ma, Pengjie Wang, Hui Zhao, Shaoguo Liu, Chuhan Zhao, Wei Lin, Kuang-Chih Lee, Jian Xu, Bo Zheng

Proceedings of the SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2021

Explicit Semantic Cross Feature Learning via Pre-trained Graph Neural Networks for CTR Prediction.

Feng Li, Bencheng Yan, Qingqing Long, Pengjie Wang, Wei Lin, Jian Xu, Bo Zheng

Proceedings of the SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2021

DAPPLE: a pipelined data parallel approach for training large models.

Shiqing Fan, Yi Rong, Chen Meng, Zongyan Cao, Siyu Wang, Zhen Zheng, Chuan Wu, Guoping Long, Jun Yang, Lixue Xia, Lansong Diao, Xiaoyong Liu, Wei Lin

Proceedings of the PPoPP '21: 26th ACM SIGPLAN Symposium on Principles and Practice of Parallel Programming, 2021

FIVES: Feature Interaction Via Edge Search for Large-Scale Tabular Data.

Yuexiang Xie, Zhen Wang, Yaliang Li, Bolin Ding, Nezihe Merve Gürel, Ce Zhang, Minlie Huang, Wei Lin, Jingren Zhou

Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

MeLL: Large-scale Extensible User Intent Classification for Dialogue Systems with Meta Lifelong Learning.

Chengyu Wang, Haojie Pan, Yuan Liu, Kehan Chen, Minghui Qiu, Wei Zhou, Jun Huang, Haiqing Chen, Wei Lin, Deng Cai

Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

DISC: A Dynamic Shape Compiler for Machine Learning Workloads.

Kai Zhu, Wenyi Zhao, Zhen Zheng, Tianyou Guo, Pengzhan Zhao, Junjie Bai, Jun Yang, Xiaoyong Liu, Lansong Diao, Wei Lin

Proceedings of the EuroMLSys@EuroSys 2021, 2021

Learning Effective and Efficient Embedding via an Adaptively-Masked Twins-based Layer.

Bencheng Yan, Pengjie Wang, Kai Zhang, Wei Lin, Kuang-Chih Lee, Jian Xu, Bo Zheng

Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

Binary Code based Hash Embedding for Web-scale Applications.

Bencheng Yan, Pengjie Wang, Jinquan Liu, Wei Lin, Kuang-Chih Lee, Jian Xu, Bo Zheng

Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

EasyTransfer: A Simple and Scalable Deep Transfer Learning Platform for NLP Applications.

Minghui Qiu, Peng Li, Chengyu Wang, Haojie Pan, Ang Wang, Cen Chen, Xianyan Jia, Yaliang Li, Jun Huang, Deng Cai, Wei Lin

Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

2020

Focusing More on Conflicts with Mis-Predictions Helps Language Pre-Training.

Chen Xing, Wencong Xiao, Yong Li, Wei Lin

CoRR, 2020

EasyTransfer - A Simple and Scalable Deep Transfer Learning Platform for NLP Applications.

Minghui Qiu, Peng Li, Hanjie Pan, Chengyu Wang, Ang Wang, Cen Chen, Yaliang Li, Dehong Gao, Jun Huang, Yong Li, Jun Yang, Deng Cai, Wei Lin

CoRR, 2020

Whale: A Unified Distributed Training Framework.

Ang Wang, Xianyan Jia, Le Jiang, Jie Zhang, Yong Li, Wei Lin

CoRR, 2020

INT8 Winograd Acceleration for Conv1D Equipped ASR Models Deployed on Mobile Devices.

Yiwu Yao, Yuchao Li, Chengyu Wang, Tianhang Yu, Houjiang Chen, Xiaotang Jiang, Jun Yang, Jun Huang, Wei Lin, Hui Shu, Chengfei Lv

CoRR, 2020

FusionStitching: Boosting Memory Intensive Computations for Deep Learning Workloads.

Zhen Zheng, Pengzhan Zhao, Guoping Long, Feiwen Zhu, Kai Zhu, Wenyi Zhao, Lansong Diao, Jun Yang, Wei Lin

CoRR, 2020

Interactive Feature Generation via Learning Adjacency Tensor of Feature Graph.

Yuexiang Xie, Zhen Wang, Yaliang Li, Bolin Ding, Nezihe Merve Gürel, Ce Zhang, Minlie Huang, Wei Lin, Jingren Zhou

CoRR, 2020

Auto-MAP: A DQN Framework for Exploring Distributed Execution Plans for DNN Workloads.

Siyu Wang, Yi Rong, Shiqing Fan, Zhen Zheng, Lansong Diao, Guoping Long, Jun Yang, Xiaoyong Liu, Wei Lin

CoRR, 2020

SwapText: Image Based Texts Transfer in Scenes.

Qiangpeng Yang, Hongsheng Jin, Jun Huang, Wei Lin

CoRR, 2020

AntMan: Dynamic Scaling on GPU Clusters for Deep Learning.

Wencong Xiao, Shiru Ren, Yong Li, Yang Zhang, Pengyang Hou, Zhi Li, Yihui Feng, Wei Lin, Yangqing Jia

Proceedings of the 14th USENIX Symposium on Operating Systems Design and Implementation, 2020

One-shot Text Field labeling using Attention and Belief Propagation for Structure Information Extraction.

Mengli Cheng, Minghui Qiu, Xing Shi, Jun Huang, Wei Lin

Proceedings of the MM '20: The 28th ACM International Conference on Multimedia, 2020

Fast Training of Deep Learning Models over Multiple GPUs.

Xiaodong Yi, Ziyue Luo, Chen Meng, Mengdi Wang, Guoping Long, Chuan Wu, Jun Yang, Wei Lin

Proceedings of the Middleware '20: 21st International Middleware Conference, 2020

AdaBERT: Task-Adaptive BERT Compression with Differentiable Neural Architecture Search.

Daoyuan Chen, Yaliang Li, Minghui Qiu, Zhen Wang, Bofang Li, Bolin Ding, Hongbo Deng, Jun Huang, Wei Lin, Jingren Zhou

Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

A History-Based Auto-Tuning Framework for Fast and High-Performance DNN Design on GPU.

Jiandong Mu, Mengdi Wang, Lanbo Li, Jun Yang, Wei Lin, Wei Zhang

Proceedings of the 57th ACM/IEEE Design Automation Conference, 2020

SwapText: Image Based Texts Transfer in Scenes.

Qiangpeng Yang, Jun Huang, Wei Lin

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

CEFS: compute-efficient flow scheduling for iterative synchronous applications.

Shuai Wang, Dan Li, Jiansong Zhang, Wei Lin

Proceedings of the CoNEXT '20: The 16th International Conference on emerging Networking EXperiments and Technologies, 2020

Optimizing distributed training deployment in heterogeneous GPU clusters.

Xiaodong Yi, Shiwei Zhang, Ziyue Luo, Guoping Long, Lansong Diao, Chuan Wu, Zhen Zheng, Jun Yang, Wei Lin

Proceedings of the CoNEXT '20: The 16th International Conference on emerging Networking EXperiments and Technologies, 2020

2019

AliGraph: A Comprehensive Graph Neural Network Platform.

Rong Zhu, Kun Zhao, Hongxia Yang, Wei Lin, Chang Zhou, Baole Ai, Yong Li, Jingren Zhou

Proc. VLDB Endow., 2019

FusionStitching: Boosting Execution Efficiency of Memory Intensive Computations for DL Workloads.

Guoping Long, Jun Yang, Wei Lin

CoRR, 2019

Characterizing Deep Learning Training Workloads on Alibaba-PAI.

Mengdi Wang, Chen Meng, Guoping Long, Chuan Wu, Jun Yang, Wei Lin, Yangqing Jia

Proceedings of the IEEE International Symposium on Workload Characterization, 2019

Scene Text Recognition with Auto-Aligned Feature Generator.

Qiangpeng Yang, Hongsheng Jin, Mengli Cheng, Wenmeng Zhou, Jun Huang, Wei Lin

Proceedings of the 2019 IEEE International Conference on Data Mining, 2019

Ouroboros: An Inference Engine for Deep Learning Based TTS on Embedded Devices.

Jiansong Zhang, Lixue Xia, Zhao Jiang, Hao Liang, Jiaoyan Chen, Shouda Liu, Wei Lin, Yuan Xie

Proceedings of the 2019 IEEE Hot Chips 31 Symposium (HCS), 2019

Speedy: An Accelerator for Sparse Convolutional Neural Networks on FPGAs.

Liqiang Lu, Yun Liang, Ruirui Huang, Wei Lin, Xiaoyuan Cui, Jiansong Zhang

Proceedings of the 2019 ACM/SIGDA International Symposium on Field-Programmable Gate Arrays, 2019

PAI-FCNN: FPGA Based CNN Inference System.

Lansong Diao, Zhao Jiang, Hao Liang, Chang'an Ye, Kai Chen, Li Ding, Shunli Dou, Meng Sun, Lixue Xia, Jiansong Zhang, Wei Lin

Proceedings of the 2019 ACM/SIGDA International Symposium on Field-Programmable Gate Arrays, 2019

An Efficient Hardware Accelerator for Sparse Convolutional Neural Networks on FPGAs.

Liqiang Lu, Jiaming Xie, Ruirui Huang, Jiansong Zhang, Wei Lin, Yun Liang

Proceedings of the 27th IEEE Annual International Symposium on Field-Programmable Custom Computing Machines, 2019

PAI-FCNN: FPGA Based Inference System for Complex CNN Models.

Lixue Xia, Lansong Diao, Zhao Jiang, Hao Liang, Kai Chen, Li Ding, Shunli Dou, Zibin Su, Meng Sun, Jiansong Zhang, Wei Lin

Proceedings of the 30th IEEE International Conference on Application-specific Systems, 2019

2018

Graph-Adaptive Pruning for Efficient Inference of Convolutional Neural Networks.

Mengdi Wang, Qing Zhang, Jun Yang, Xiaoyuan Cui, Wei Lin

CoRR, 2018

FusionStitching: Deep Fusion and Code Generation for Tensorflow Computations on GPUs.

Guoping Long, Jun Yang, Kai Zhu, Wei Lin

CoRR, 2018

Transfer Learning for Context-Aware Question Matching in Information-seeking Conversations in E-commerce.

Minghui Qiu, Liu Yang, Feng Ji, Weipeng Zhao, Wei Zhou, Jun Huang, Haiqing Chen, W. Bruce Croft, Wei Lin

CoRR, 2018

IncepText: A New Inception-Text Module with Deformable PSROI Pooling for Multi-Oriented Scene Text Detection.

Qiangpeng Yang, Mengli Cheng, Wenmeng Zhou, Yan Chen, Minghui Qiu, Wei Lin, Wei Chu

CoRR, 2018

IncepText: A New Inception-Text Module with Deformable PSROI Pooling for Multi-Oriented Scene Text Detection.

Qiangpeng Yang, Mengli Cheng, Wenmeng Zhou, Yan Chen, Minghui Qiu, Wei Lin

Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

Efficient Deep Learning Inference Based on Model Compression.

Qing Zhang, Mengru Zhang, Mengdi Wang, Wanchen Sui, Chen Meng, Jun Yang, Weidan Kong, Xiaoyuan Cui, Wei Lin

Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2018

Transfer Learning for Context-Aware Question Matching in Information-seeking Conversations in E-commerce.

Minghui Qiu, Liu Yang, Feng Ji, Wei Zhou, Jun Huang, Haiqing Chen, W. Bruce Croft, Wei Lin

Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics, 2018

2016

StreamScope: Continuous Reliable Distributed Processing of Big Data Streams.

Wei Lin, Haochuan Fan, Zhengping Qian, Junwei Xu, Sen Yang, Jingren Zhou, Lidong Zhou

Proceedings of the 13th USENIX Symposium on Networked Systems Design and Implementation, 2016

2015

Spotting Code Optimizations in Data-Parallel Pipelines through PeriSCOPE.

Xuepeng Fan, Zhenyu Guo, Hai Jin, Xiaofei Liao, Jiaxing Zhang, Hucheng Zhou, Sean McDirmid, Wei Lin, Jingren Zhou, Lidong Zhou

IEEE Trans. Parallel Distributed Syst., 2015

2014

Apollo: Scalable and Coordinated Scheduling for Cloud-Scale Computing.

Eric Boutin, Jaliya Ekanayake, Wei Lin, Bing Shi, Jingren Zhou, Zhengping Qian, Ming Wu, Lidong Zhou

Proceedings of the 11th USENIX Symposium on Operating Systems Design and Implementation, 2014

Cybertron: pushing the limit on I/O reduction in data-parallel programs.

Tian Xiao, Zhenyu Guo, Hucheng Zhou, Jiaxing Zhang, Xu Zhao, Chencheng Ye, Xi Wang, Wei Lin, Wenguang Chen, Lidong Zhou

Proceedings of the 2014 ACM International Conference on Object Oriented Programming Systems Languages & Applications, 2014

Nondeterminism in MapReduce considered harmful? an empirical study on non-commutative aggregators in MapReduce programs.

Tian Xiao, Jiaxing Zhang, Hucheng Zhou, Zhenyu Guo, Sean McDirmid, Wei Lin, Wenguang Chen, Lidong Zhou

Proceedings of the 36th International Conference on Software Engineering, 2014

2013

A characteristic study on failures of production distributed data-parallel programs.

Sihan Li, Hucheng Zhou, Haoxiang Lin, Tian Xiao, Haibo Lin, Wei Lin, Tao Xie

Proceedings of the 35th International Conference on Software Engineering, 2013

2012

Advanced partitioning techniques for massively distributed computation.

Jingren Zhou, Nicolas Bruno, Wei Lin

Proceedings of the ACM SIGMOD International Conference on Management of Data, 2012

Spotting Code Optimizations in Data-Parallel Pipelines through PeriSCOPE.

Zhenyu Guo, Xuepeng Fan, Rishan Chen, Jiaxing Zhang, Hucheng Zhou, Sean McDirmid, Chang Liu, Wei Lin, Jingren Zhou, Lidong Zhou

Proceedings of the 10th USENIX Symposium on Operating Systems Design and Implementation, 2012

Optimizing Data Shuffling in Data-Parallel Computation by Understanding User-Defined Functions.

Jiaxing Zhang, Hucheng Zhou, Rishan Chen, Xuepeng Fan, Zhenyu Guo, Haoxiang Lin, Jack Li, Wei Lin, Jingren Zhou, Lidong Zhou

Proceedings of the 9th USENIX Symposium on Networked Systems Design and Implementation, 2012

2010

Comet: batched stream processing for data intensive distributed computing.

Bingsheng He, Mao Yang, Zhenyu Guo, Rishan Chen, Bing Su, Wei Lin, Lidong Zhou

Proceedings of the 1st ACM Symposium on Cloud Computing, 2010

2009

Wave Computing in the Cloud.

Bingsheng He, Mao Yang, Zhenyu Guo, Rishan Chen, Wei Lin, Bing Su, Hongyi Wang, Lidong Zhou

Proceedings of HotOS'09: 12th Workshop on Hot Topics in Operating Systems, 2009