Bin Ren

127 papers A* 26A 17B 9Misc 1Journal 56Unranked 18
YearRankTypeTitle / Venue / Authors
2026 B conf
A Distributed Matrix-Block-Vector Multiplication in Presence of System Performance Variability.
PPoPP
Yuchen Ma, Bin Ren, Andreas Stathopoulos
2026 J jnl
Green or Fast? Learning to Balance Cold Starts and Idle Carbon in Serverless Computing.
CoRR
Bowen Sun, Christos D. Antonopoulos, Evgenia Smirni, Bin Ren, Nikolaos Bellas, Spyros Lalis
2025 — conf
Generalizing Reuse Patterns for Efficient DNN on Microcontrollers.
ASPLOS (2)
Jiesong Liu, Bin Ren, Xipeng Shen
2025 J jnl
HiSin: Efficient High-Resolution Sinogram Inpainting via Resolution-Guided Progressive Inference.
CoRR
Jiaze E, Srutarshi Banerjee, Tekin Bicer, Guannan Wang, Yanfu Zhang, Bin Ren
2025 J jnl
Mobile-3DCNN: An Acceleration Framework for Ultra-Real-Time Execution of Large 3D CNNs on Mobile Devices.
ACM Trans. Archit. Code Optim.
Wei Niu, Mengshu Sun, Zhengang Li, Jou-An Chen, Jiexiong Guan, Xipeng Shen, Jun Liu, Mei Zhang, Yanzhi Wang, Xue Lin, Bin Ren
2025 B conf
Optimizing 3D Gaussian Splattering for Mobile GPUs.
PACT
Md. Musfiqur Rahman Sanim, Zhihao Shu, Bahram Afsharmanesh, AmirAli Mirian, Jiexiong Guan, Wei Niu, Bin Ren, Gagan Agrawal
2025 J jnl
Optimizing 3D Gaussian Splattering for Mobile GPUs.
CoRR
Md. Musfiqur Rahman Sanim, Zhihao Shu, Bahram Afsharmanesh, AmirAli Mirian, Jiexiong Guan, Wei Niu, Bin Ren, Gagan Agrawal
2025 A conf
TMModel: Modeling Texture Memory and Mobile GPU Performance to Accelerate DNN Computations.
ICS
Jiexiong Guan, Zhenqing Hu, Christos D. Antonopoulos, Nikolaos Bellas, Spyros Lalis, Evgenia Smirni, Gang Zhou, Gagan Agrawal, Bin Ren
2025 J jnl
Towards Recognizing Food Types for Unseen Subjects.
ACM Trans. Comput. Heal.
Jiexiong Guan, Junjie Wang, Wei Niu, Zhen Peng, Shuangquan Wang, Zhenming Liu, Gang Zhou, Bin Ren
2024 A conf
CommBench: Micro-Benchmarking Hierarchical Networks with Multi-GPU, Multi-NIC Nodes.
ICS
Mert Hidayetoglu, Simon Garcia De Gonzalo, Elliott Slaughter, Yu Li, Christopher Zimmer, Tekin Bicer, Bin Ren, William Gropp, Wen-Mei Hwu, Alex Aiken
2024 A conf
DACO: Pursuing Ultra-low Power Consumption via DNN-Adaptive CPU-GPU CO-optimization on Mobile Devices.
DATE
Yushu Wu, Chao Wu, Geng Yuan, Yanyu Li, Weichao Guo, Jing Rao, Xipeng Shen, Bin Ren, Yanzhi Wang
2024 A conf
DEFCON: Deformable Convolutions Leveraging Interval Search and GPU Texture Hardware.
IPDPS
Malith Jayaweera, Yanyu Li, Yanzhi Wang, Bin Ren, David R. Kaeli
2024 J jnl
FCDM: Sparse-view Sinogram Inpainting with Frequency Domain Convolution Enhanced Diffusion Models.
CoRR
Jiaze E, Srutarshi Banerjee, Tekin Bicer, Guannan Wang, Bin Ren
2024 A* conf
NeurRev: Train Better Sparse Neural Network Practically via Neuron Revitalization.
ICLR
Gen Li, Lu Yin, Jie Ji, Wei Niu, Minghai Qin, Bin Ren, Linke Guo, Shiwei Liu, Xiaolong Ma
2024 J jnl
On Item-Sampling Evaluation for Recommender System.
Trans. Recomm. Syst.
Dong Li, Ruoming Jin, Zhenming Liu, Bin Ren, Jing Gao, Zhi Liu
2024 A* conf
Reducing Unfairness in Distributed Community Detection.
ICDM
Hao Zhang, Malith Jayaweera, Bin Ren, Yanzhi Wang, Sucheta Soundarajan
2024 — conf
SmartMem: Layout Transformation Elimination and Adaptation for Efficient DNN Execution on Mobile.
ASPLOS (3)
Wei Niu, Md. Musfiqur Rahman Sanim, Zhihao Shu, Jiexiong Guan, Xipeng Shen, Miao Yin, Gagan Agrawal, Bin Ren
2024 J jnl
SmartMem: Layout Transformation Elimination and Adaptation for Efficient DNN Execution on Mobile.
CoRR
Wei Niu, Md. Musfiqur Rahman Sanim, Zhihao Shu, Jiexiong Guan, Xipeng Shen, Miao Yin, Gagan Agrawal, Bin Ren
2024 — conf
SoD
ASPLOS (1)
Wei Niu, Gagan Agrawal, Bin Ren
2024 J jnl
SoD
CoRR
Wei Niu, Gagan Agrawal, Bin Ren
2023 — conf
Decentralized Application-Level Adaptive Scheduling for Multi-Instance DNNs on Open Mobile Devices.
USENIX ATC
Hsin-Hsuan Sung, Jou-An Chen, Wei Niu, Jiexiong Guan, Bin Ren, Xipeng Shen
2023 A* conf
Pruning Parameterization with Bi-level Optimization for Efficient Semantic Segmentation on the Edge.
CVPR
Changdi Yang, Pu Zhao, Yanyu Li, Wei Niu, Jiexiong Guan, Hao Tang, Minghai Qin, Bin Ren, Xue Lin, Yanzhi Wang
2023 J jnl
Survey: Exploiting Data Redundancy for Optimization of Deep Learning.
ACM Comput. Surv.
Jou-An Chen, Wei Niu, Bin Ren, Yanzhi Wang, Xipeng Shen
2023 A* conf
Towards High-Quality and Efficient Video Super-Resolution via Spatial-Temporal Data Overfitting.
CVPR
Gen Li, Jie Ji, Minghai Qin, Wei Niu, Bin Ren, Fatemeh Afghah, Linke Guo, Xiaolong Ma
2023 J jnl
Towards High-Quality and Efficient Video Super-Resolution via Spatial-Temporal Data Overfitting.
CoRR
Gen Li, Jie Ji, Minghai Qin, Wei Niu, Bin Ren, Fatemeh Afghah, Linke Guo, Xiaolong Ma
2023 A* conf
Towards Real-Time Segmentation on the Edge.
AAAI
Yanyu Li, Changdi Yang, Pu Zhao, Geng Yuan, Wei Niu, Jiexiong Guan, Hao Tang, Minghai Qin, Qing Jin, Bin Ren, Xue Lin, Yanzhi Wang
2023 A* conf
Towards Reliable Item Sampling for Recommendation Evaluation.
AAAI
Dong Li, Ruoming Jin, Zhenming Liu, Bin Ren, Jing Gao, Zhi Liu
2023 A* conf
Unfairness in Distributed Graph Frameworks.
ICDM
Hao Zhang, Malith Jayaweera, Bin Ren, Yanzhi Wang, Sucheta Soundarajan
2022 J jnl
Automatic Mapping of the Best-Suited DNN Pruning Schemes for Real-Time Mobile Acceleration.
ACM Trans. Design Autom. Electr. Syst.
Yifan Gong, Geng Yuan, Zheng Zhan, Wei Niu, Zhengang Li, Pu Zhao, Yuxuan Cai, Sijia Liu, Bin Ren, Xue Lin, Xulong Tang, Yanzhi Wang
2022 — conf
BLCR: Towards Real-time DNN Execution with Block-based Reweighted Pruning.
ISQED
Xiaolong Ma, Geng Yuan, Zhengang Li, Yifan Gong, Tianyun Zhang, Wei Niu, Zheng Zhan, Pu Zhao, Ning Liu, Jian Tang, Xue Lin, Bin Ren, Yanzhi Wang
2022 A conf
Brief Industry Paper: Enabling Level-4 Autonomous Driving on a Single $1k Off-the-Shelf Card.
RTAS
Hsin-Hsuan Sung, Yuanchao Xu, Jiexiong Guan, Wei Niu, Bin Ren, Yanzhi Wang, Shaoshan Liu, Xipeng Shen
2022 J jnl
CoCoPIE XGen: A Full-Stack AI-Oriented Optimizing Framework.
CoRR
Xiaofeng Li, Bin Ren, Xipeng Shen, Yanzhi Wang
2022 — conf
Compiler-Aware Neural Architecture Search for On-Mobile Real-time Super-Resolution.
ECCV (19)
Yushu Wu, Yifan Gong, Pu Zhao, Yanyu Li, Zheng Zhan, Wei Niu, Hao Tang, Minghai Qin, Bin Ren, Yanzhi Wang
2022 J jnl
Compiler-Aware Neural Architecture Search for On-Mobile Real-time Super-Resolution.
CoRR
Yushu Wu, Yifan Gong, Pu Zhao, Yanyu Li, Zheng Zhan, Wei Niu, Hao Tang, Minghai Qin, Bin Ren, Yanzhi Wang
2022 A* conf
GCD
MICRO
Wei Niu, Jiexiong Guan, Xipeng Shen, Yanzhi Wang, Gagan Agrawal, Bin Ren
2022 J jnl
GRIM: A General, Real-Time Deep Learning Inference Framework for Mobile Devices Based on Fine-Grained Structured Weight Sparsity.
IEEE Trans. Pattern Anal. Mach. Intell.
Wei Niu, Zhengang Li, Xiaolong Ma, Peiyan Dong, Gang Zhou, Xuehai Qian, Xue Lin, Yanzhi Wang, Bin Ren
2022 J jnl
MemXCT: Design, Optimization, Scaling, and Reproducibility of X-Ray Tomography Imaging.
IEEE Trans. Parallel Distributed Syst.
Mert Hidayetoglu, Tekin Biçer, Simon Garcia De Gonzalo, Bin Ren, Doga Gürsoy, Rajkumar Kettimuthu, Ian T. Foster, Wen-mei W. Hwu
2022 J jnl
Mobile or FPGA? A Comprehensive Evaluation on Energy Efficiency and a Unified Optimization Framework.
ACM Trans. Embed. Comput. Syst.
Geng Yuan, Peiyan Dong, Mengshu Sun, Wei Niu, Zhengang Li, Yuxuan Cai, Yanyu Li, Jun Liu, Weiwen Jiang, Xue Lin, Bin Ren, Xulong Tang, Yanzhi Wang
2022 A* conf
Real-Time Portrait Stylization on the Edge.
IJCAI
Yanyu Li, Xuan Shen, Geng Yuan, Jiexiong Guan, Wei Niu, Hao Tang, Bin Ren, Yanzhi Wang
2022 J jnl
Real-Time Portrait Stylization on the Edge.
CoRR
Yanyu Li, Xuan Shen, Geng Yuan, Jiexiong Guan, Wei Niu, Hao Tang, Bin Ren, Yanzhi Wang
2022 — conf
SPViT: Enabling Faster Vision Transformers via Latency-Aware Soft Token Pruning.
ECCV (11)
Zhenglun Kong, Peiyan Dong, Xiaolong Ma, Xin Meng, Wei Niu, Mengshu Sun, Xuan Shen, Geng Yuan, Bin Ren, Hao Tang, Minghai Qin, Yanzhi Wang
2022 A* conf
SparCL: Sparse Continual Learning on the Edge.
NeurIPS
Zifeng Wang, Zheng Zhan, Yifan Gong, Geng Yuan, Wei Niu, Tong Jian, Bin Ren, Stratis Ioannidis, Yanzhi Wang, Jennifer G. Dy
2022 J jnl
SparCL: Sparse Continual Learning on the Edge.
CoRR
Zifeng Wang, Zheng Zhan, Yifan Gong, Geng Yuan, Wei Niu, Tong Jian, Bin Ren, Stratis Ioannidis, Yanzhi Wang, Jennifer G. Dy
2022 J jnl
Survey: Exploiting Data Redundancy for Optimization of Deep Learning.
CoRR
Jou-An Chen, Wei Niu, Bin Ren, Yanzhi Wang, Xipeng Shen
2022 J jnl
Towards Reliable Item Sampling for Recommendation Evaluation.
CoRR
Dong Li, Ruoming Jin, Zhenming Liu, Bin Ren, Jing Gao, Zhi Liu
2022 — conf
Towards Socially Acceptable Food Type Recognition.
MSN
Junjie Wang, Jiexiong Guan, Y. Alicia Hong, Hong Xue, Shuangquan Wang, Zhenming Liu, Bin Ren, Gang Zhou
2021 A* conf
A Compression-Compilation Co-Design Framework Towards Real-Time Object Detection on Mobile Devices.
AAAI
Yuxuan Cai, Geng Yuan, Hongjia Li, Wei Niu, Yanyu Li, Xulong Tang, Bin Ren, Yanzhi Wang
2021 A* conf
A Compression-Compilation Framework for On-mobile Real-time BERT Applications.
IJCAI
Wei Niu, Zhenglun Kong, Geng Yuan, Weiwen Jiang, Jiexiong Guan, Caiwen Ding, Pu Zhao, Sijia Liu, Bin Ren, Yanzhi Wang
2021 J jnl
A Compression-Compilation Framework for On-mobile Real-time BERT Applications.
CoRR
Wei Niu, Zhenglun Kong, Geng Yuan, Weiwen Jiang, Jiexiong Guan, Caiwen Ding, Pu Zhao, Sijia Liu, Bin Ren, Yanzhi Wang
2021 — conf
A High Performance Sparse Tensor Algebra Compiler in MLIR.
LLVM-HPC@SC
Ruiqin Tian, Luanzheng Guo, Jiajia Li, Bin Ren, Gokcen Kestor
2021 J jnl
A High-Performance Sparse Tensor Algebra Compiler in Multi-Level IR.
CoRR
Ruiqin Tian, Luanzheng Guo, Jiajia Li, Bin Ren, Gokcen Kestor
2021 J jnl
Achieving Real-Time Object Detection on MobileDevices with Neural Pruning Search.
CoRR
Pu Zhao, Wei Niu, Geng Yuan, Yuxuan Cai, Bin Ren, Yanzhi Wang, Xue Lin
2021 A* conf
Achieving on-Mobile Real-Time Super-Resolution with Neural Architecture and Pruning Search.
ICCV
Zheng Zhan, Yifan Gong, Pu Zhao, Geng Yuan, Wei Niu, Yushu Wu, Tianyun Zhang, Malith Jayaweera, David R. Kaeli, Bin Ren, Xue Lin, Yanzhi Wang
2021 J jnl
Achieving on-Mobile Real-Time Super-Resolution with Neural Architecture and Pruning Search.
CoRR
Zheng Zhan, Yifan Gong, Pu Zhao, Geng Yuan, Wei Niu, Yushu Wu, Tianyun Zhang, Malith Jayaweera, David R. Kaeli, Bin Ren, Xue Lin, Yanzhi Wang
2021 J jnl
Automatic Mapping of the Best-Suited DNN Pruning Schemes for Real-Time Mobile Acceleration.
CoRR
Yifan Gong, Geng Yuan, Zheng Zhan, Wei Niu, Zhengang Li, Pu Zhao, Yuxuan Cai, Sijia Liu, Bin Ren, Xue Lin, Xulong Tang, Yanzhi Wang
2021 A conf
Brief Industry Paper: Towards Real-Time 3D Object Detection for Autonomous Vehicles with Pruning Search.
RTAS
Pu Zhao, Wei Niu, Geng Yuan, Yuxuan Cai, Hsin-Hsuan Sung, Shaoshan Liu, Sijia Liu, Xipeng Shen, Bin Ren, Yanzhi Wang, Xue Lin
2021 J jnl
COMET: A Domain-Specific Compilation of High-Performance Computational Chemistry.
CoRR
Erdal Mutlu, Ruiqin Tian, Bin Ren, Sriram Krishnamoorthy, Roberto Gioiosa, Jacques A. Pienaar, Gokcen Kestor
2021 A conf
ClickTrain: efficient and accurate end-to-end deep learning training via fine-grained architecture-preserving pruning.
ICS
Chengming Zhang, Geng Yuan, Wei Niu, Jiannan Tian, Sian Jin, Donglin Zhuang, Zhe Jiang, Yanzhi Wang, Bin Ren, Shuaiwen Leon Song, Dingwen Tao
2021 J jnl
CoCoPIE: enabling real-time AI on off-the-shelf mobile devices via compression-compilation co-design.
Commun. ACM
Hui Guan, Shaoshan Liu, Xiaolong Ma, Wei Niu, Bin Ren, Xipeng Shen, Yanzhi Wang, Pu Zhao
2021 J jnl
DNNFusion: Accelerating Deep Neural Networks Execution with Advanced Operator Fusion.
CoRR
Wei Niu, Jiexiong Guan, Yanzhi Wang, Gagan Agrawal, Bin Ren
2021 A* conf
DNNFusion: accelerating deep neural networks execution with advanced operator fusion.
PLDI
Wei Niu, Jiexiong Guan, Yanzhi Wang, Gagan Agrawal, Bin Ren
2021 J jnl
Enabling Level-4 Autonomous Driving on a Single 1 Off-the-Shelf Card.
CoRR
Hsin-Hsuan Sung, Yuanchao Xu, Jiexiong Guan, Wei Niu, Shaoshan Liu, Bin Ren, Yanzhi Wang, Xipeng Shen
2021 J jnl
GRIM: A General, Real-Time Deep Learning Inference Framework for Mobile Devices based on Fine-Grained Structured Weight Sparsity.
CoRR
Wei Niu, Zhengang Li, Xiaolong Ma, Peiyan Dong, Gang Zhou, Xuehai Qian, Xue Lin, Yanzhi Wang, Bin Ren
2021 Misc conf
HEALS: A Parallel eALS Recommendation System on CPU/GPU Heterogeneous Platforms.
HiPC
Qihan Wang, Wei Niu, Li Chen, Ruoming Jin, Bin Ren
2021 A* conf
MEST: Accurate and Fast Memory-Economic Sparse Training Framework on the Edge.
NeurIPS
Geng Yuan, Xiaolong Ma, Wei Niu, Zhengang Li, Zhenglun Kong, Ning Liu, Yifan Gong, Zheng Zhan, Chaoyang He, Qing Jin, Siyue Wang, Minghai Qin, Bin Ren, Yanzhi Wang, Sijia Liu, Xue Lin
2021 J jnl
MEST: Accurate and Fast Memory-Economic Sparse Training Framework on the Edge.
CoRR
Geng Yuan, Xiaolong Ma, Wei Niu, Zhengang Li, Zhenglun Kong, Ning Liu, Yifan Gong, Zheng Zhan, Chaoyang He, Qing Jin, Siyue Wang, Minghai Qin, Bin Ren, Yanzhi Wang, Sijia Liu, Xue Lin
2021 A* conf
NPAS: A Compiler-Aware Framework of Unified Network Pruning and Architecture Search for Beyond Real-Time Mobile Acceleration.
CVPR
Zhengang Li, Geng Yuan, Wei Niu, Pu Zhao, Yanyu Li, Yuxuan Cai, Xuan Shen, Zheng Zhan, Zhenglun Kong, Qing Jin, Zhiyu Chen, Sijia Liu, Kaiyuan Yang, Bin Ren, Yanzhi Wang, Xue Lin
2021 A* conf
Neural Pruning Search for Real-Time Object Detection of Autonomous Vehicles.
DAC
Pu Zhao, Geng Yuan, Yuxuan Cai, Wei Niu, Qi Liu, Wujie Wen, Bin Ren, Yanzhi Wang, Xue Lin
2021 A* conf
RT3D: Achieving Real-Time Execution of 3D Convolutional Neural Networks on Mobile Devices.
AAAI
Wei Niu, Mengshu Sun, Zhengang Li, Jou-An Chen, Jiexiong Guan, Xipeng Shen, Yanzhi Wang, Sijia Liu, Xue Lin, Bin Ren
2021 — conf
Real-Time Mobile Acceleration of DNNs: From Computer Vision to Medical Applications.
ASP-DAC
Hongjia Li, Geng Yuan, Wei Niu, Yuxuan Cai, Mengshu Sun, Zhengang Li, Bin Ren, Xue Lin, Yanzhi Wang
2021 J jnl
SPViT: Enabling Faster Vision Transformers via Soft Token Pruning.
CoRR
Zhenglun Kong, Peiyan Dong, Xiaolong Ma, Xin Meng, Wei Niu, Mengshu Sun, Bin Ren, Minghai Qin, Hao Tang, Yanzhi Wang
2021 J jnl
Toward Efficient Interactions between Python and Native Libraries.
CoRR
Jialiang Tan, Yu Chen, Zhenming Liu, Bin Ren, Shuaiwen Leon Song, Xipeng Shen, Xu Liu
2021 — conf
Toward efficient interactions between Python and native libraries.
ESEC/SIGSOFT FSE
Jialiang Tan, Yu Chen, Zhenming Liu, Bin Ren, Shuaiwen Leon Song, Xipeng Shen, Xu Liu
2021 A* conf
Towards Fast and Accurate Multi-Person Pose Estimation on Mobile Devices.
IJCAI
Xuan Shen, Geng Yuan, Wei Niu, Xiaolong Ma, Jiexiong Guan, Zhengang Li, Bin Ren, Yanzhi Wang
2021 J jnl
Towards Fast and Accurate Multi-Person Pose Estimation on Mobile Devices.
CoRR
Xuan Shen, Geng Yuan, Wei Niu, Xiaolong Ma, Jiexiong Guan, Zhengang Li, Bin Ren, Yanzhi Wang
2021 A conf
Work in Progress: Mobile or FPGA? A Comprehensive Evaluation on Energy Efficiency and a Unified Optimization Framework.
RTAS
Geng Yuan, Peiyan Dong, Mengshu Sun, Wei Niu, Zhengang Li, Yuxuan Cai, Jun Liu, Weiwen Jiang, Xue Lin, Bin Ren, Xulong Tang, Yanzhi Wang
2021 A* conf
YOLObile: Real-Time Object Detection on Mobile Devices via Compression-Compilation Co-Design.
AAAI
Yuxuan Cai, Hongjia Li, Geng Yuan, Wei Niu, Yanyu Li, Xulong Tang, Bin Ren, Yanzhi Wang
2020 J jnl
6.7ms on Mobile with over 78% ImageNet Accuracy: Unified Network Pruning and Architecture Search for Beyond Real-Time Mobile Acceleration.
CoRR
Zhengang Li, Geng Yuan, Wei Niu, Yanyu Li, Pu Zhao, Yuxuan Cai, Xuan Shen, Zheng Zhan, Zhenglun Kong, Qing Jin, Zhiyu Chen, Sijia Liu, Kaiyuan Yang, Bin Ren, Yanzhi Wang, Xue Lin
2020 J jnl
A Privacy-Preserving DNN Pruning and Mobile Acceleration Framework.
CoRR
Zheng Zhan, Yifan Gong, Zhengang Li, Pu Zhao, Xiaolong Ma, Wei Niu, Xiaolin Xu, Bin Ren, Yanzhi Wang, Xue Lin
2020 — conf
A Privacy-Preserving-Oriented DNN Pruning and Mobile Acceleration Framework.
ACM Great Lakes Symposium on VLSI
Yifan Gong, Zheng Zhan, Zhengang Li, Wei Niu, Xiaolong Ma, Wenhao Wang, Bin Ren, Caiwen Ding, Xue Lin, Xiaolin Xu, Yanzhi Wang
2020 A conf
ATMem: adaptive data placement in graph applications on heterogeneous memories.
CGO
Yu Chen, Ivy Bo Peng, Zhen Peng, Xu Liu, Bin Ren
2020 J jnl
Achieving Real-Time Execution of 3D Convolutional Neural Networks on Mobile Devices.
CoRR
Wei Niu, Mengshu Sun, Zhengang Li, Jou-An Chen, Jiexiong Guan, Xipeng Shen, Yanzhi Wang, Xue Lin, Bin Ren
2020 J jnl
Achieving Real-Time Execution of Transformer-based Large-scale Models on Mobile with Compiler-aware Neural Architecture Optimization.
CoRR
Wei Niu, Zhenglun Kong, Geng Yuan, Weiwen Jiang, Jiexiong Guan, Caiwen Ding, Pu Zhao, Sijia Liu, Bin Ren, Yanzhi Wang
2020 J jnl
Achieving Real-Time LiDAR 3D Object Detection on a Mobile Device.
CoRR
Pu Zhao, Wei Niu, Geng Yuan, Yuxuan Cai, Hsin-Hsuan Sung, Wujie Wen, Sijia Liu, Xipeng Shen, Bin Ren, Yanzhi Wang, Xue Lin
2020 J jnl
An Efficient End-to-End Deep Learning Training Framework via Fine-Grained Pattern-Based Pruning.
CoRR
Chengming Zhang, Geng Yuan, Wei Niu, Jiannan Tian, Sian Jin, Donglin Zhuang, Zhe Jiang, Yanzhi Wang, Bin Ren, Shuaiwen Leon Song, Dingwen Tao
2020 — conf
An Image Enhancing Pattern-Based Sparsity for Real-Time Inference on Mobile Devices.
ECCV (13)
Xiaolong Ma, Wei Niu, Tianyun Zhang, Sijia Liu, Sheng Lin, Hongjia Li, Wujie Wen, Xiang Chen, Jian Tang, Kaisheng Ma, Bin Ren, Yanzhi Wang
2020 J jnl
An Image Enhancing Pattern-based Sparsity for Real-time Inference on Mobile Devices.
CoRR
Xiaolong Ma, Wei Niu, Tianyun Zhang, Sijia Liu, Fu-Ming Guo, Sheng Lin, Hongjia Li, Xiang Chen, Jian Tang, Kaisheng Ma, Bin Ren, Yanzhi Wang
2020 J jnl
BLK-REW: A Unified Block-based DNN Pruning Framework using Reweighted Regularization Method.
CoRR
Xiaolong Ma, Zhengang Li, Yifan Gong, Tianyun Zhang, Wei Niu, Zheng Zhan, Pu Zhao, Jian Tang, Xue Lin, Bin Ren, Yanzhi Wang
2020 — conf
COMET: A Domain-Specific Compilation of High-Performance Computational Chemistry.
LCPC
Erdal Mutlu, Ruiqin Tian, Bin Ren, Sriram Krishnamoorthy, Roberto Gioiosa, Jacques A. Pienaar, Gokcen Kestor
2020 J jnl
CoCoPIE: Making Mobile AI Sweet As PIE -Compression-Compilation Co-Design Goes a Long Way.
CoRR
Shaoshan Liu, Bin Ren, Xipeng Shen, Yanzhi Wang
2020 A* conf
On Efficient Constructions of Checkpoints.
ICML
Yu Chen, Zhenming Liu, Bin Ren, Xin Jin
2020 J jnl
On Efficient Constructions of Checkpoints.
CoRR
Yu Chen, Zhenming Liu, Bin Ren, Xin Jin
2020 A* conf
PCONV: The Missing but Desirable Sparsity in DNN Weight Pruning for Real-Time Execution on Mobile Devices.
AAAI
Xiaolong Ma, Fu-Ming Guo, Wei Niu, Xue Lin, Jian Tang, Kaisheng Ma, Bin Ren, Yanzhi Wang
2020 A conf
Parallelizing pruned landmark labeling: dealing with dependencies in graph algorithms.
ICS
Ruoming Jin, Zhen Peng, Wendell Wu, Feodor F. Dragan, Gagan Agrawal, Bin Ren
2020 A* conf
PatDNN: Achieving Real-Time DNN Execution on Mobile Devices with Pattern-based Weight Pruning.
ASPLOS
Wei Niu, Xiaolong Ma, Sheng Lin, Shihao Wang, Xuehai Qian, Xue Lin, Yanzhi Wang, Bin Ren
2020 J jnl
PatDNN: Achieving Real-Time DNN Execution on Mobile Devices with Pattern-based Weight Pruning.
CoRR
Wei Niu, Xiaolong Ma, Sheng Lin, Shihao Wang, Xuehai Qian, Xue Lin, Yanzhi Wang, Bin Ren
2020 J jnl
Petascale XCT: 3D Image Reconstruction with Hierarchical Communications on Multi-GPU Nodes.
CoRR
Mert Hidayetoglu, Tekin Bicer, Simon Garcia De Gonzalo, Bin Ren, Vincent De Andrade, Doga Gürsoy, Raj Kettimuthu, Ian T. Foster, Wen-mei W. Hwu
2020 A conf
Petascale XCT: 3D image reconstruction with hierarchical communications on multi-GPU nodes.
SC
Mert Hidayetoglu, Tekin Bicer, Simon Garcia De Gonzalo, Bin Ren, Vincent De Andrade, Doga Gürsoy, Raj Kettimuthu, Ian T. Foster, Wen-mei W. Hwu
2020 A* conf
RTMobile: Beyond Real-Time Mobile Acceleration of RNNs for Speech Recognition.
DAC
Peiyan Dong, Siyue Wang, Wei Niu, Chengming Zhang, Sheng Lin, Zhengang Li, Yifan Gong, Bin Ren, Xue Lin, Dingwen Tao
2020 J jnl
RTMobile: Beyond Real-Time Mobile Acceleration of RNNs for Speech Recognition.
CoRR
Peiyan Dong, Siyue Wang, Wei Niu, Chengming Zhang, Sheng Lin, Zhengang Li, Yifan Gong, Bin Ren, Xue Lin, Yanzhi Wang, Dingwen Tao
2020 A* conf
Towards Real-Time DNN Inference on Mobile Platforms with Model Pruning and Compiler Optimization.
IJCAI
Wei Niu, Pu Zhao, Zheng Zhan, Xue Lin, Yanzhi Wang, Bin Ren
2020 J jnl
Towards Real-Time DNN Inference on Mobile Platforms with Model Pruning and Compiler Optimization.
CoRR
Wei Niu, Pu Zhao, Zheng Zhan, Xue Lin, Yanzhi Wang, Bin Ren
2020 J jnl
YOLObile: Real-Time Object Detection on Mobile Devices via Compression-Compilation Co-Design.
CoRR
Yuxuan Cai, Hongjia Li, Geng Yuan, Wei Niu, Yanyu Li, Xulong Tang, Bin Ren, Yanzhi Wang
2019 J jnl
26ms Inference Time for ResNet-50: Towards Real-Time Execution of all DNNs on Smartphone.
CoRR
Wei Niu, Xiaolong Ma, Yanzhi Wang, Bin Ren
2019 J jnl
Extracting SIMD Parallelism from Recursive Task-Parallel Programs.
ACM Trans. Parallel Comput.
Bin Ren, Shruthi Balakrishna, Youngjoon Jo, Sriram Krishnamoorthy, Kunal Agrawal, Milind Kulkarni
2019 A conf
MemXCT: memory-centric X-ray CT reconstruction with massive parallelization.
SC
Mert Hidayetoglu, Tekin Biçer, Simon Garcia De Gonzalo, Bin Ren, Doga Gürsoy, Rajkumar Kettimuthu, Ian T. Foster, Wen-mei W. Hwu
2019 J jnl
PCONV: The Missing but Desirable Sparsity in DNN Weight Pruning for Real-time Execution on Mobile Devices.
CoRR
Xiaolong Ma, Fu-Ming Guo, Wei Niu, Xue Lin, Jian Tang, Kaisheng Ma, Bin Ren, Yanzhi Wang
2019 J jnl
Pruned Landmark Labeling Meets Vertex Centric Computation: A Surprisingly Happy Marriage!
CoRR
Ruoming Jin, Zhen Peng, Wendell Wu, Feodor F. Dragan, Gagan Agrawal, Bin Ren
2019 A conf
Transforming Query Sequences for High-Throughput B+ Tree Processing on Many-Core Processors.
CGO
Ruiqin Tian, Junqiao Qiu, Zhijia Zhao, Xu Liu, Bin Ren
2018 B conf
Graphphi: efficient parallel graph processing on emerging throughput-oriented architectures.
PACT
Zhen Peng, Alexander Powell, Bo Wu, Tekin Bicer, Bin Ren
2017 B conf
Exploiting Vector and Multicore Parallelism for Recursive, Data- and Task-Parallel Programs.
PPoPP
Bin Ren, Sriram Krishnamoorthy, Kunal Agrawal, Milind Kulkarni
2017 — conf
Real-Time Data Analysis and Autonomous Steering of Synchrotron Light Source Experiments.
eScience
Tekin Bicer, Doga Gürsoy, Rajkumar Kettimuthu, Ian T. Foster, Bin Ren, Vincent De Andrade, Francesco De Carlo
2016 B conf
MicroSpec: Speculation-Centric Fine-Grained Parallelization for FSM Computations.
PACT
Junqiao Qiu, Zhijia Zhao, Bin Ren
2016 B conf
On the Impact of Widening Vector Registers on Sequence Alignment.
ICPP
Jeffrey Daily, Ananth Kalyanaraman, Sriram Krishnamoorthy, Bin Ren
2016 J jnl
User-Assisted Store Recycling for Dynamic Task Graph Schedulers.
ACM Trans. Archit. Code Optim.
Mehmet Can Kurt, Sriram Krishnamoorthy, Gagan Agrawal, Bin Ren
2016 B conf
User-assisted storage reuse determination for dynamic task graphs.
PPoPP
Mehmet Can Kurt, Bin Ren, Sriram Krishnamoorthy, Gagan Agrawal
2015 — conf
Automatic and Efficient Data Host-Device Communication for Many-Core Coprocessors.
LCPC
Bin Ren, Nishkam Ravi, Yi Yang, Min Feng, Gagan Agrawal, Srimat T. Chakradhar
2015 A conf
Efficient and Simplified Parallel Graph Processing over CPU and MIC.
IPDPS
Linchuan Chen, Xin Huo, Bin Ren, Surabhi Jain, Gagan Agrawal
2015 A* conf
Efficient execution of recursive programs on commodity vector hardware.
PLDI
Bin Ren, Youngjoon Jo, Sriram Krishnamoorthy, Kunal Agrawal, Milind Kulkarni
2015 — conf
Low-Overhead Fault-Tolerance Support Using DISC Programming Model.
LCPC
Mehmet Can Kurt, Bin Ren, Gagan Agrawal
2014 J jnl
A Portable Optimization Engine for Accelerating Irregular Data-Traversal Applications on SIMD Architectures.
ACM Trans. Archit. Code Optim.
Bin Ren, Todd Mytkowicz, Gagan Agrawal
2014 A conf
A programming system for xeon phis with runtime SIMD parallelization.
ICS
Xin Huo, Bin Ren, Gagan Agrawal
2014 A conf
Automating and optimizing data transfers for many-core coprocessors.
ICS
Bin Ren, Nishkam Ravi, Yi Yang, Min Feng, Gagan Agrawal, Srimat T. Chakradhar
2013 A conf
SIMD parallelization of applications that traverse irregular data structures.
CGO
Bin Ren, Gagan Agrawal, James R. Larus, Todd Mytkowicz, Tomi Poutanen, Wolfram Schulte
2012 B conf
Fine-grained parallel traversals of irregular data structures.
PACT
Bin Ren, Gagan Agrawal, James R. Larus, Todd Mytkowicz, Tomi Poutanen, Wolfram Schulte
2011 B conf
Compiling Dynamic Data Structures in Python to Enable the Use of Multi-core and Many-core Libraries.
PACT
Bin Ren, Gagan Agrawal
2011 — conf
Translating Chapel to Use FREERIDE: A Case Study in Using an HPC Language for Data-Intensive Computing.
IPDPS Workshops
Bin Ren, Gagan Agrawal, Bradford L. Chamberlain, Steven J. Deitz