Compiling Dynamic Data Structures in Python to Enable the Use of Multi-core and Many-core Libraries. - Bin Ren 002; Gagan Agrawal (PACT, 2011)

Translating Chapel to Use FREERIDE: A Case Study in Using an HPC Language for Data-Intensive Computing. - Bin Ren 002; Gagan Agrawal; Bradford L. Chamberlain; Steven J. Deitz (IPDPS Workshops, 2011)

Fine-grained parallel traversals of irregular data structures. - Bin Ren 002; Gagan Agrawal; James R. Larus; Todd Mytkowicz; Tomi Poutanen; Wolfram Schulte (PACT, 2012)

SIMD parallelization of applications that traverse irregular data structures. - Bin Ren 002; Gagan Agrawal; James R. Larus; Todd Mytkowicz; Tomi Poutanen; Wolfram Schulte (CGO, 2013)

A programming system for xeon phis with runtime SIMD parallelization. - Xin Huo; Bin Ren 002; Gagan Agrawal (ICS, 2014)

Automating and optimizing data transfers for many-core coprocessors. - Bin Ren 002; Nishkam Ravi; Yi Yang 018; Min Feng 001; Gagan Agrawal; Srimat T. Chakradhar (ICS, 2014)

A Portable Optimization Engine for Accelerating Irregular Data-Traversal Applications on SIMD Architectures. - Bin Ren 002; Todd Mytkowicz; Gagan Agrawal (ACM Trans. Archit. Code Optim., 2014)

Efficient and Simplified Parallel Graph Processing over CPU and MIC. - Linchuan Chen; Xin Huo; Bin Ren 002; Surabhi Jain; Gagan Agrawal (IPDPS, 2015)

Low-Overhead Fault-Tolerance Support Using DISC Programming Model. - Mehmet Can Kurt; Bin Ren 002; Gagan Agrawal (LCPC, 2015)

Automatic and Efficient Data Host-Device Communication for Many-Core Coprocessors. - Bin Ren 002; Nishkam Ravi; Yi Yang 018; Min Feng 001; Gagan Agrawal; Srimat T. Chakradhar (LCPC, 2015)

Efficient execution of recursive programs on commodity vector hardware. - Bin Ren 002; Youngjoon Jo; Sriram Krishnamoorthy; Kunal Agrawal 001; Milind Kulkarni 001 (PLDI, 2015)

MicroSpec: Speculation-Centric Fine-Grained Parallelization for FSM Computations. - Junqiao Qiu; Zhijia Zhao 001; Bin Ren 002 (PACT, 2016)

On the Impact of Widening Vector Registers on Sequence Alignment. - Jeffrey Daily; Ananth Kalyanaraman; Sriram Krishnamoorthy; Bin Ren 002 (ICPP, 2016)

User-assisted storage reuse determination for dynamic task graphs. - Mehmet Can Kurt; Bin Ren 002; Sriram Krishnamoorthy; Gagan Agrawal (PPoPP, 2016)

User-Assisted Store Recycling for Dynamic Task Graph Schedulers. - Mehmet Can Kurt; Sriram Krishnamoorthy; Gagan Agrawal; Bin Ren 002 (ACM Trans. Archit. Code Optim., 2016)

Real-Time Data Analysis and Autonomous Steering of Synchrotron Light Source Experiments. - Tekin Bicer; Doga Gürsoy; Rajkumar Kettimuthu; Ian T. Foster; Bin Ren 002; Vincent De Andrade; Francesco De Carlo (eScience, 2017)

Exploiting Vector and Multicore Parallelism for Recursive, Data- and Task-Parallel Programs. - Bin Ren 002; Sriram Krishnamoorthy; Kunal Agrawal 001; Milind Kulkarni 001 (PPoPP, 2017)

Graphphi: efficient parallel graph processing on emerging throughput-oriented architectures. - Zhen Peng; Alexander Powell; Bo Wu 002; Tekin Bicer; Bin Ren 002 (PACT, 2018)

Transforming Query Sequences for High-Throughput B+ Tree Processing on Many-Core Processors. - Ruiqin Tian; Junqiao Qiu; Zhijia Zhao 001; Xu Liu 001; Bin Ren 002 (CGO, 2019)

MemXCT: memory-centric X-ray CT reconstruction with massive parallelization. - Mert Hidayetoglu; Tekin Biçer; Simon Garcia De Gonzalo; Bin Ren 002; Doga Gürsoy; Rajkumar Kettimuthu; Ian T. Foster; Wen-mei W. Hwu (SC, 2019)

26ms Inference Time for ResNet-50: Towards Real-Time Execution of all DNNs on Smartphone. - Wei Niu 002; Xiaolong Ma; Yanzhi Wang; Bin Ren 002 (CoRR, 2019)

Pruned Landmark Labeling Meets Vertex Centric Computation: A Surprisingly Happy Marriage! - Ruoming Jin; Zhen Peng; Wendell Wu; Feodor F. Dragan; Gagan Agrawal; Bin Ren 002 (CoRR, 2019)

Extracting SIMD Parallelism from Recursive Task-Parallel Programs. - Bin Ren 002; Shruthi Balakrishna; Youngjoon Jo; Sriram Krishnamoorthy; Kunal Agrawal 001; Milind Kulkarni 001 (ACM Trans. Parallel Comput., 2019)

PCONV: The Missing but Desirable Sparsity in DNN Weight Pruning for Real-Time Execution on Mobile Devices. - Xiaolong Ma; Fu-Ming Guo; Wei Niu 002; Xue Lin 001; Jian Tang 008; Kaisheng Ma; Bin Ren 002; Yanzhi Wang (AAAI, 2020)

PatDNN: Achieving Real-Time DNN Execution on Mobile Devices with Pattern-based Weight Pruning. - Wei Niu 002; Xiaolong Ma; Sheng Lin 001; Shihao Wang; Xuehai Qian; Xue Lin 001; Yanzhi Wang; Bin Ren 002 (ASPLOS, 2020)

ATMem: adaptive data placement in graph applications on heterogeneous memories. - Yu Chen 036; Ivy Bo Peng; Zhen Peng; Xu Liu 001; Bin Ren 002 (CGO, 2020)

RTMobile: Beyond Real-Time Mobile Acceleration of RNNs for Speech Recognition. - Peiyan Dong; Siyue Wang; Wei Niu 002; Chengming Zhang 006; Sheng Lin 001; Zhengang Li; Yifan Gong 004; Bin Ren 002; Xue Lin 001; Dingwen Tao (DAC, 2020)

An Image Enhancing Pattern-Based Sparsity for Real-Time Inference on Mobile Devices. - Xiaolong Ma; Wei Niu 002; Tianyun Zhang; Sijia Liu 001; Sheng Lin 001; Hongjia Li 003; Wujie Wen; Xiang Chen 010; Jian Tang 008; Kaisheng Ma; Bin Ren 002; Yanzhi Wang (ECCV (13), 2020)

A Privacy-Preserving-Oriented DNN Pruning and Mobile Acceleration Framework. - Yifan Gong 004; Zheng Zhan 001; Zhengang Li; Wei Niu 002; Xiaolong Ma; Wenhao Wang 001; Bin Ren 002; Caiwen Ding; Xue Lin 001; Xiaolin Xu 001; Yanzhi Wang (ACM Great Lakes Symposium on VLSI, 2020)

On Efficient Constructions of Checkpoints. - Yu Chen 036; Zhenming Liu; Bin Ren 002; Xin Jin 008 (ICML, 2020)

Parallelizing pruned landmark labeling: dealing with dependencies in graph algorithms. - Ruoming Jin; Zhen Peng; Wendell Wu; Feodor F. Dragan; Gagan Agrawal; Bin Ren 002 (ICS, 2020)

Towards Real-Time DNN Inference on Mobile Platforms with Model Pruning and Compiler Optimization. - Wei Niu 002; Pu Zhao 001; Zheng Zhan 001; Xue Lin 001; Yanzhi Wang; Bin Ren 002 (IJCAI, 2020)

COMET: A Domain-Specific Compilation of High-Performance Computational Chemistry. - Erdal Mutlu; Ruiqin Tian; Bin Ren 002; Sriram Krishnamoorthy; Roberto Gioiosa; Jacques Pienaar; Gokcen Kestor (LCPC, 2020)

Petascale XCT: 3D image reconstruction with hierarchical communications on multi-GPU nodes. - Mert Hidayetoglu; Tekin Bicer; Simon Garcia De Gonzalo; Bin Ren 002; Vincent De Andrade; Doga Gürsoy; Raj Kettimuthu; Ian T. Foster; Wen-mei W. Hwu (SC, 2020)

An Image Enhancing Pattern-based Sparsity for Real-time Inference on Mobile Devices. - Xiaolong Ma; Wei Niu 002; Tianyun Zhang; Sijia Liu 001; Fu-Ming Guo; Sheng Lin 001; Hongjia Li 003; Xiang Chen 010; Jian Tang 008; Kaisheng Ma; Bin Ren 002; Yanzhi Wang (CoRR, 2020)

BLK-REW: A Unified Block-based DNN Pruning Framework using Reweighted Regularization Method. - Xiaolong Ma; Zhengang Li; Yifan Gong 004; Tianyun Zhang; Wei Niu 002; Zheng Zhan 001; Pu Zhao 001; Jian Tang 008; Xue Lin 001; Bin Ren 002; Yanzhi Wang (CoRR, 2020)

RTMobile: Beyond Real-Time Mobile Acceleration of RNNs for Speech Recognition. - Peiyan Dong; Siyue Wang; Wei Niu 002; Chengming Zhang 006; Sheng Lin 001; Zhengang Li; Yifan Gong 004; Bin Ren 002; Xue Lin 001; Yanzhi Wang; Dingwen Tao (CoRR, 2020)

A Privacy-Preserving DNN Pruning and Mobile Acceleration Framework. - Zheng Zhan 001; Yifan Gong 004; Zhengang Li; Pu Zhao 001; Xiaolong Ma; Wei Niu 002; Xiaolin Xu 001; Bin Ren 002; Yanzhi Wang; Xue Lin 001 (CoRR, 2020)

CoCoPIE: Making Mobile AI Sweet As PIE -Compression-Compilation Co-Design Goes a Long Way. - Shaoshan Liu; Bin Ren 002; Xipeng Shen; Yanzhi Wang (CoRR, 2020)

Achieving Real-Time Execution of 3D Convolutional Neural Networks on Mobile Devices. - Wei Niu 002; Mengshu Sun; Zhengang Li; Jou-An Chen; Jiexiong Guan; Xipeng Shen; Yanzhi Wang; Xue Lin 001; Bin Ren 002 (CoRR, 2020)

Achieving Real-Time Execution of Transformer-based Large-scale Models on Mobile with Compiler-aware Neural Architecture Optimization. - Wei Niu 002; Zhenglun Kong; Geng Yuan; Weiwen Jiang; Jiexiong Guan; Caiwen Ding; Pu Zhao 001; Sijia Liu 001; Bin Ren 002; Yanzhi Wang (CoRR, 2020)

An Efficient End-to-End Deep Learning Training Framework via Fine-Grained Pattern-Based Pruning. - Chengming Zhang 006; Geng Yuan; Wei Niu 002; Jiannan Tian; Sian Jin; Donglin Zhuang; Zhe Jiang 001; Yanzhi Wang; Bin Ren 002; Shuaiwen Leon Song; Dingwen Tao (CoRR, 2020)

6.7ms on Mobile with over 78% ImageNet Accuracy: Unified Network Pruning and Architecture Search for Beyond Real-Time Mobile Acceleration. - Zhengang Li; Geng Yuan; Wei Niu 002; Yanyu Li; Pu Zhao 001; Yuxuan Cai 001; Xuan Shen; Zheng Zhan 001; Zhenglun Kong; Qing Jin; Zhiyu Chen 003; Sijia Liu 001; et al. (CoRR, 2020)

Achieving Real-Time LiDAR 3D Object Detection on a Mobile Device. - Pu Zhao 001; Wei Niu 002; Geng Yuan; Yuxuan Cai 001; Hsin-Hsuan Sung; Wujie Wen; Sijia Liu 001; Xipeng Shen; Bin Ren 002; Yanzhi Wang; Xue Lin 001 (CoRR, 2020)

YOLObile: Real-Time Object Detection on Mobile Devices via Compression-Compilation Co-Design. - Yuxuan Cai 001; Hongjia Li 003; Geng Yuan; Wei Niu 002; Yanyu Li; Xulong Tang; Bin Ren 002; Yanzhi Wang (AAAI, 2021)

A Compression-Compilation Co-Design Framework Towards Real-Time Object Detection on Mobile Devices. - Yuxuan Cai 001; Geng Yuan; Hongjia Li 003; Wei Niu 002; Yanyu Li; Xulong Tang; Bin Ren 002; Yanzhi Wang (AAAI, 2021)

RT3D: Achieving Real-Time Execution of 3D Convolutional Neural Networks on Mobile Devices. - Wei Niu 002; Mengshu Sun; Zhengang Li; Jou-An Chen; Jiexiong Guan; Xipeng Shen; Yanzhi Wang; Sijia Liu 001; Xue Lin 001; Bin Ren 002 (AAAI, 2021)

Real-Time Mobile Acceleration of DNNs: From Computer Vision to Medical Applications. - Hongjia Li 003; Geng Yuan; Wei Niu 002; Yuxuan Cai 001; Mengshu Sun; Zhengang Li; Bin Ren 002; Xue Lin 001; Yanzhi Wang (ASP-DAC, 2021)

NPAS: A Compiler-Aware Framework of Unified Network Pruning and Architecture Search for Beyond Real-Time Mobile Acceleration. - Zhengang Li; Geng Yuan; Wei Niu 002; Pu Zhao 001; Yanyu Li; Yuxuan Cai 001; Xuan Shen; Zheng Zhan 001; Zhenglun Kong; Qing Jin; Zhiyu Chen 003; Sijia Liu 001; et al. (CVPR, 2021)

Neural Pruning Search for Real-Time Object Detection of Autonomous Vehicles. - Pu Zhao 001; Geng Yuan; Yuxuan Cai 001; Wei Niu 002; Qi Liu 017; Wujie Wen; Bin Ren 002; Yanzhi Wang; Xue Lin 001 (DAC, 2021)

HEALS: A Parallel eALS Recommendation System on CPU/GPU Heterogeneous Platforms. - Qihan Wang; Wei Niu 002; Li Chen; Ruoming Jin; Bin Ren 002 (HiPC, 2021)

Achieving on-Mobile Real-Time Super-Resolution with Neural Architecture and Pruning Search. - Zheng Zhan 001; Yifan Gong 004; Pu Zhao 001; Geng Yuan; Wei Niu 002; Yushu Wu; Tianyun Zhang; Malith Jayaweera; David R. Kaeli; Bin Ren 002; Xue Lin 001; Yanzhi Wang (ICCV, 2021)

ClickTrain: efficient and accurate end-to-end deep learning training via fine-grained architecture-preserving pruning. - Chengming Zhang 006; Geng Yuan; Wei Niu 002; Jiannan Tian; Sian Jin; Donglin Zhuang; Zhe Jiang 001; Yanzhi Wang; Bin Ren 002; Shuaiwen Leon Song; Dingwen Tao (ICS, 2021)

A Compression-Compilation Framework for On-mobile Real-time BERT Applications. - Wei Niu 002; Zhenglun Kong; Geng Yuan; Weiwen Jiang; Jiexiong Guan; Caiwen Ding; Pu Zhao 001; Sijia Liu 001; Bin Ren 002; Yanzhi Wang (IJCAI, 2021)

Towards Fast and Accurate Multi-Person Pose Estimation on Mobile Devices. - Xuan Shen; Geng Yuan; Wei Niu 002; Xiaolong Ma; Jiexiong Guan; Zhengang Li; Bin Ren 002; Yanzhi Wang (IJCAI, 2021)

A High Performance Sparse Tensor Algebra Compiler in MLIR. - Ruiqin Tian; Luanzheng Guo; Jiajia Li 001; Bin Ren 002; Gokcen Kestor (LLVM-HPC@SC, 2021)

MEST: Accurate and Fast Memory-Economic Sparse Training Framework on the Edge. - Geng Yuan; Xiaolong Ma; Wei Niu 002; Zhengang Li; Zhenglun Kong; Ning Liu 007; Yifan Gong 004; Zheng Zhan 001; Chaoyang He 001; Qing Jin; Siyue Wang; Minghai Qin; et al. (NeurIPS, 2021)

DNNFusion: accelerating deep neural networks execution with advanced operator fusion. - Wei Niu 002; Jiexiong Guan; Yanzhi Wang; Gagan Agrawal; Bin Ren 002 (PLDI, 2021)

Work in Progress: Mobile or FPGA? A Comprehensive Evaluation on Energy Efficiency and a Unified Optimization Framework. - Geng Yuan; Peiyan Dong; Mengshu Sun; Wei Niu 002; Zhengang Li; Yuxuan Cai 001; Jun Liu 075; Weiwen Jiang; Xue Lin 001; Bin Ren 002; Xulong Tang; Yanzhi Wang (RTAS, 2021)

Brief Industry Paper: Towards Real-Time 3D Object Detection for Autonomous Vehicles with Pruning Search. - Pu Zhao 001; Wei Niu 002; Geng Yuan; Yuxuan Cai 001; Hsin-Hsuan Sung; Shaoshan Liu; Sijia Liu 001; Xipeng Shen; Bin Ren 002; Yanzhi Wang; Xue Lin 001 (RTAS, 2021)

Toward efficient interactions between Python and native libraries. - Jialiang Tan; Yu Chen 036; Zhenming Liu; Bin Ren 002; Shuaiwen Leon Song; Xipeng Shen; Xu Liu 001 (ESEC/SIGSOFT FSE, 2021)

CoCoPIE: enabling real-time AI on off-the-shelf mobile devices via compression-compilation co-design. - Hui Guan 001; Shaoshan Liu; Xiaolong Ma; Wei Niu 002; Bin Ren 002; Xipeng Shen; Yanzhi Wang; Pu Zhao 001 (Commun. ACM, 2021)

A High-Performance Sparse Tensor Algebra Compiler in Multi-Level IR. - Ruiqin Tian; Luanzheng Guo; Jiajia Li 001; Bin Ren 002; Gokcen Kestor (CoRR, 2021)

Achieving Real-Time Object Detection on MobileDevices with Neural Pruning Search. - Pu Zhao 001; Wei Niu 002; Geng Yuan; Yuxuan Cai 001; Bin Ren 002; Yanzhi Wang; Xue Lin 001 (CoRR, 2021)

Enabling Level-4 Autonomous Driving on a Single 1 Off-the-Shelf Card. - Hsin-Hsuan Sung; Yuanchao Xu 001; Jiexiong Guan; Wei Niu 002; Shaoshan Liu; Bin Ren 002; Yanzhi Wang; Xipeng Shen (CoRR, 2021)

SPViT: Enabling Faster Vision Transformers via Soft Token Pruning. - Zhenglun Kong; Peiyan Dong; Xiaolong Ma; Xin Meng; Wei Niu 002; Mengshu Sun; Bin Ren 002; Minghai Qin; Hao Tang 005; Yanzhi Wang (CoRR, 2021)

SPViT: Enabling Faster Vision Transformers via Latency-Aware Soft Token Pruning. - Zhenglun Kong; Peiyan Dong; Xiaolong Ma; Xin Meng; Wei Niu 002; Mengshu Sun; Xuan Shen; Geng Yuan; Bin Ren 002; Hao Tang 005; Minghai Qin; Yanzhi Wang (ECCV (11), 2022)

Compiler-Aware Neural Architecture Search for On-Mobile Real-time Super-Resolution. - Yushu Wu; Yifan Gong 004; Pu Zhao 001; Yanyu Li; Zheng Zhan 001; Wei Niu 002; Hao Tang 005; Minghai Qin; Bin Ren 002; Yanzhi Wang (ECCV (19), 2022)

Real-Time Portrait Stylization on the Edge. - Yanyu Li; Xuan Shen; Geng Yuan; Jiexiong Guan; Wei Niu 002; Hao Tang 005; Bin Ren 002; Yanzhi Wang (IJCAI, 2022)

BLCR: Towards Real-time DNN Execution with Block-based Reweighted Pruning. - Xiaolong Ma; Geng Yuan; Zhengang Li; Yifan Gong 004; Tianyun Zhang; Wei Niu 002; Zheng Zhan 001; Pu Zhao 001; Ning Liu 007; Jian Tang 008; Xue Lin 001; Bin Ren 002; et al. (ISQED, 2022)

GCD2: A Globally Optimizing Compiler for Mapping DNNs to Mobile DSPs. - Wei Niu 002; Jiexiong Guan; Xipeng Shen; Yanzhi Wang; Gagan Agrawal; Bin Ren 002 (MICRO, 2022)

Towards Socially Acceptable Food Type Recognition. - Junjie Wang; Jiexiong Guan; Y. Alicia Hong; Hong Xue; Shuangquan Wang; Zhenming Liu; Bin Ren 002; Gang Zhou 002 (MSN, 2022)

SparCL: Sparse Continual Learning on the Edge. - Zifeng Wang 002; Zheng Zhan 001; Yifan Gong 004; Geng Yuan; Wei Niu 002; Tong Jian; Bin Ren 002; Stratis Ioannidis; Yanzhi Wang; Jennifer G. Dy (NeurIPS, 2022)

Brief Industry Paper: Enabling Level-4 Autonomous Driving on a Single $1k Off-the-Shelf Card. - Hsin-Hsuan Sung; Yuanchao Xu 001; Jiexiong Guan; Wei Niu 002; Bin Ren 002; Yanzhi Wang; Shaoshan Liu; Xipeng Shen (RTAS, 2022)

CoCoPIE XGen: A Full-Stack AI-Oriented Optimizing Framework. - Xiaofeng Li; Bin Ren 002; Xipeng Shen; Yanzhi Wang (CoRR, 2022)

GRIM: A General, Real-Time Deep Learning Inference Framework for Mobile Devices Based on Fine-Grained Structured Weight Sparsity. - Wei Niu 002; Zhengang Li; Xiaolong Ma; Peiyan Dong; Gang Zhou 002; Xuehai Qian; Xue Lin 001; Yanzhi Wang; Bin Ren 002 (IEEE Trans. Pattern Anal. Mach. Intell., 2022)

Automatic Mapping of the Best-Suited DNN Pruning Schemes for Real-Time Mobile Acceleration. - Yifan Gong 004; Geng Yuan; Zheng Zhan 001; Wei Niu 002; Zhengang Li; Pu Zhao 001; Yuxuan Cai 001; Sijia Liu 001; Bin Ren 002; Xue Lin 001; Xulong Tang; Yanzhi Wang (ACM Trans. Design Autom. Electr. Syst., 2022)

MemXCT: Design, Optimization, Scaling, and Reproducibility of X-Ray Tomography Imaging. - Mert Hidayetoglu; Tekin Biçer; Simon Garcia de Gonzalo; Bin Ren 002; Doga Gürsoy; Rajkumar Kettimuthu; Ian T. Foster; Wen-Mei W. Hwu (IEEE Trans. Parallel Distributed Syst., 2022)

Mobile or FPGA? A Comprehensive Evaluation on Energy Efficiency and a Unified Optimization Framework. - Geng Yuan; Peiyan Dong; Mengshu Sun; Wei Niu 002; Zhengang Li; Yuxuan Cai 001; Yanyu Li; Jun Liu 075; Weiwen Jiang; Xue Lin 001; Bin Ren 002; Xulong Tang; et al. (ACM Trans. Embed. Comput. Syst., 2022)

Towards Reliable Item Sampling for Recommendation Evaluation. - Dong Li 047; Ruoming Jin; Zhenming Liu; Bin Ren 002; Jing Gao; Zhi Liu (AAAI, 2023)

Towards Real-Time Segmentation on the Edge. - Yanyu Li; Changdi Yang; Pu Zhao 001; Geng Yuan; Wei Niu 002; Jiexiong Guan; Hao Tang 005; Minghai Qin; Qing Jin; Bin Ren 002; Xue Lin 001; Yanzhi Wang (AAAI, 2023)

Towards High-Quality and Efficient Video Super-Resolution via Spatial-Temporal Data Overfitting. - Gen Li 012; Jie Ji; Minghai Qin; Wei Niu 002; Bin Ren 002; Fatemeh Afghah; Linke Guo; Xiaolong Ma (CVPR, 2023)

Pruning Parameterization with Bi-level Optimization for Efficient Semantic Segmentation on the Edge. - Changdi Yang; Pu Zhao 001; Yanyu Li; Wei Niu 002; Jiexiong Guan; Hao Tang 005; Minghai Qin; Bin Ren 002; Xue Lin 001; Yanzhi Wang (CVPR, 2023)

Decentralized Application-Level Adaptive Scheduling for Multi-Instance DNNs on Open Mobile Devices. - Hsin-Hsuan Sung; Jou-An Chen; Wei Niu 002; Jiexiong Guan; Bin Ren 002; Xipeng Shen (USENIX ATC, 2023)

Survey: Exploiting Data Redundancy for Optimization of Deep Learning. - Jou-An Chen; Wei Niu 002; Bin Ren 002; Yanzhi Wang; Xipeng Shen (ACM Comput. Surv., 2023)

SoD2: Statically Optimizing Dynamic Deep Neural Network Execution. - Wei Niu 002; Gagan Agrawal; Bin Ren 002 (ASPLOS (1), 2024)

SmartMem: Layout Transformation Elimination and Adaptation for Efficient DNN Execution on Mobile. - Wei Niu 002; Md. Musfiqur Rahman Sanim; Zhihao Shu; Jiexiong Guan; Xipeng Shen; Miao Yin; Gagan Agrawal; Bin Ren 002 (ASPLOS (3), 2024)

DACO: Pursuing Ultra-low Power Consumption via DNN-Adaptive CPU-GPU CO-optimization on Mobile Devices. - Yushu Wu; Chao Wu; Geng Yuan; Yanyu Li; Weichao Guo; Jing Rao; Xipeng Shen; Bin Ren 002; Yanzhi Wang (DATE, 2024)

NeurRev: Train Better Sparse Neural Network Practically via Neuron Revitalization. - Gen Li 012; Lu Yin 006; Jie Ji; Wei Niu 002; Minghai Qin; Bin Ren 002; Linke Guo; Shiwei Liu 003; Xiaolong Ma (ICLR, 2024)

CommBench: Micro-Benchmarking Hierarchical Networks with Multi-GPU, Multi-NIC Nodes. - Mert Hidayetoglu; Simon Garcia De Gonzalo; Elliott Slaughter; Yu Li 041; Christopher Zimmer 001; Tekin Bicer; Bin Ren 002; William Gropp; Wen-Mei Hwu; Alex Aiken (ICS, 2024)

DEFCON: Deformable Convolutions Leveraging Interval Search and GPU Texture Hardware. - Malith Jayaweera; Yanyu Li; Yanzhi Wang; Bin Ren 002; David R. Kaeli (IPDPS, 2024)

SoD2: Statically Optimizing Dynamic Deep Neural Network. - Wei Niu 002; Gagan Agrawal; Bin Ren 002 (CoRR, 2024)

FCDM: Sparse-view Sinogram Inpainting with Frequency Domain Convolution Enhanced Diffusion Models. - Jiaze E; Srutarshi Banerjee; Tekin Bicer; Guannan Wang; Bin Ren 002 (CoRR, 2024)

On Item-Sampling Evaluation for Recommender System. - Dong Li 047; Ruoming Jin; Zhenming Liu; Bin Ren 002; Jing Gao; Zhi Liu (Trans. Recomm. Syst., 2024)

Generalizing Reuse Patterns for Efficient DNN on Microcontrollers. - Jiesong Liu; Bin Ren 002; Xipeng Shen (ASPLOS (2), 2025)

TMModel: Modeling Texture Memory and Mobile GPU Performance to Accelerate DNN Computations. - Jiexiong Guan; Zhenqing Hu; Christos D. Antonopoulos; Nikolaos Bellas; Spyros Lalis; Evgenia Smirni; Gang Zhou 002; Gagan Agrawal; Bin Ren 002 (ICS, 2025)

Towards Recognizing Food Types for Unseen Subjects. - Jiexiong Guan; Junjie Wang; Wei Niu 002; Zhen Peng; Shuangquan Wang; Zhenming Liu; Gang Zhou 002; Bin Ren 002 (ACM Trans. Comput. Heal., 2025)

HiSin: Efficient High-Resolution Sinogram Inpainting via Resolution-Guided Progressive Inference. - Jiaze E; Srutarshi Banerjee; Tekin Bicer; Guannan Wang; Yanfu Zhang; Bin Ren 002 (CoRR, 2025)

Mobile-3DCNN: An Acceleration Framework for Ultra-Real-Time Execution of Large 3D CNNs on Mobile Devices. - Wei Niu 002; Mengshu Sun; Zhengang Li; Jou-An Chen; Jiexiong Guan; Xipeng Shen; Jun Liu 075; Mei Zhang; Yanzhi Wang; Xue Lin 001; Bin Ren 002 (ACM Trans. Archit. Code Optim., 2025)