ROS-Based Indoor Autonomous Exploration and Navigation Wheelchair. - Zhengang Li; Yong Xiong; Lei Zhou (ISCID (2), 2017)

RDO-based Secondary Prediction Scheme for Image Compression. - Hongkui Wang; Junhui Liang; Yamei Chen; Hailang Yang; Shengwei Wang; Li Yu 003; Ning Wang; Zhengang Li (CVPR Workshops, 2019)

ResNet Can Be Pruned 60×: Introducing Network Purification and Unused Path Removal (P-RM) after Weight Pruning. - Xiaolong Ma; Geng Yuan; Sheng Lin 001; Zhengang Li; Hao Sun; Yanzhi Wang (NANOARCH, 2019)

Dense Inception Attention Neural Network for In-Loop Filter. - Xiaoyu Xu; Jian Qian; Li Yu 003; Hongkui Wang; Xing Zeng; Zhengang Li; Ning Wang (PCS, 2019)

Progressive DNN Compression: A Key to Achieve Ultra-High Weight Pruning and Quantization Rates using ADMM. - Shaokai Ye; Xiaoyu Feng; Tianyun Zhang; Xiaolong Ma; Sheng Lin 001; Zhengang Li; Kaidi Xu; Wujie Wen; Sijia Liu 001; Jian Tang 008; Makan Fardad; Xue Lin 001; et al. (CoRR, 2019)

ResNet Can Be Pruned 60x: Introducing Network Purification and Unused Path Removal (P-RM) after Weight Pruning. - Xiaolong Ma; Geng Yuan; Sheng Lin 001; Zhengang Li; Hao Sun; Yanzhi Wang (CoRR, 2019)

Non-structured DNN Weight Pruning Considered Harmful. - Yanzhi Wang; Shaokai Ye; Zhezhi He; Xiaolong Ma; Linfeng Zhang 001; Sheng Lin 001; Geng Yuan; Sia Huat Tan; Zhengang Li; Deliang Fan; Xuehai Qian; Xue Lin 001; et al. (CoRR, 2019)

A SOT-MRAM-based Processing-In-Memory Engine for Highly Compressed DNN Implementation. - Geng Yuan; Xiaolong Ma; Sheng Lin 001; Zhengang Li; Caiwen Ding (CoRR, 2019)

Post-Processing Network Based on Dense Inception Attention for Video Compression. - Hao Tao; Jian Qian; Li Yu 003; Hongkui Wang; Wenhao Zhang; Zhengang Li; Ning Wang; Xing Zeng (CVPR Workshops, 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; Xue Lin 001; Dingwen Tao (DAC, 2020)

Efficient Transformer-based Large Scale Language Representations using Hardware-friendly Block Structured Pruning. - Bingbing Li; Zhenglun Kong; Tianyun Zhang; Ji Li 006; Zhengang Li; Hang Liu 001; Caiwen Ding (EMNLP (Findings), 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; Caiwen Ding; Xue Lin 001; Xiaolin Xu 001; Yanzhi Wang (ACM Great Lakes Symposium on VLSI, 2020)

A DNN Compression Framework for SOT-MRAM-based Processing-In-Memory Engine. - Geng Yuan; Xiaolong Ma; Sheng Lin 001; Zhengang Li; Jieren Deng; Caiwen Ding (SoCC, 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; Yanzhi Wang (CoRR, 2020)

SS-Auto: A Single-Shot, Automatic Structured Weight Pruning Framework of DNNs with Ultra-High Efficiency. - Zhengang Li; Yifan Gong 004; Xiaolong Ma; Sijia Liu 001; Mengshu Sun; Zheng Zhan 001; Zhenglun Kong; Geng Yuan; 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; 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; Yanzhi Wang; Xue Lin 001 (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 (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)

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 (AAAI, 2021)

Real-Time Mobile Acceleration of DNNs: From Computer Vision to Medical Applications. - Hongjia Li; Geng Yuan; Wei Niu 002; Yuxuan Cai 001; Mengshu Sun; Zhengang Li; Bin Ren; 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)

TinyADC: Peripheral Circuit-aware Weight Pruning Framework for Mixed-signal DNN Accelerators. - Geng Yuan; Payman Behnam; Yuxuan Cai 001; Ali Shafiee; Jingyan Fu; Zhiheng Liao; Zhengang Li; Xiaolong Ma; Jieren Deng; Jinhui Wang; Mahdi Nazm Bojnordi; Yanzhi Wang; et al. (DATE, 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; Yanzhi Wang (IJCAI, 2021)

FORMS: Fine-grained Polarized ReRAM-based In-situ Computation for Mixed-signal DNN Accelerator. - Geng Yuan; Payman Behnam; Zhengang Li; Ali Shafiee; Sheng Lin 001; Xiaolong Ma; Hang Liu 001; Xuehai Qian; Mahdi Nazm Bojnordi; Yanzhi Wang; Caiwen Ding (ISCA, 2021)

Improving DNN Fault Tolerance using Weight Pruning and Differential Crossbar Mapping for ReRAM-based Edge AI. - Geng Yuan; Zhiheng Liao; Xiaolong Ma; Yuxuan Cai 001; Zhenglun Kong; Xuan Shen; Jingyan Fu; Zhengang Li; Chengming Zhang 006; Hongwu Peng; Ning Liu 007; Ao Ren; et al. (ISQED, 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)

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; Xulong Tang; Yanzhi Wang (RTAS, 2021)

Neural Network-based In-Loop Filter for CLIC 2022. - Yonghua Wang; Jingchi Zhang; Zhengang Li; Xing Zeng; Zhen Zhang; Diankai Zhang; Yunlin Long; Ning Wang (CVPR Workshops, 2022)

Hardware-efficient stochastic rounding unit design for DNN training: late breaking results. - Sung-En Chang; Geng Yuan; Alec Lu; Mengshu Sun; Yanyu Li; Xiaolong Ma; Zhengang Li; Yanyue Xie; Minghai Qin; Xue Lin 001; Zhenman Fang; Yanzhi Wang (DAC, 2022)

FPGA-aware automatic acceleration framework for vision transformer with mixed-scheme quantization: late breaking results. - Mengshu Sun; Zhengang Li; Alec Lu; Haoyu Ma; Geng Yuan; Yanyue Xie; Hao Tang 005; Yanyu Li; Miriam Leeser; Zhangyang Wang; Xue Lin 001; Zhenman Fang (DAC, 2022)

FILM-QNN: Efficient FPGA Acceleration of Deep Neural Networks with Intra-Layer, Mixed-Precision Quantization. - Mengshu Sun; Zhengang Li; Alec Lu; Yanyu Li; Sung-En Chang; Xiaolong Ma; Xue Lin 001; Zhenman Fang (FPGA, 2022)

Auto-ViT-Acc: An FPGA-Aware Automatic Acceleration Framework for Vision Transformer with Mixed-Scheme Quantization. - Zhengang Li; Mengshu Sun; Alec Lu; Haoyu Ma; Geng Yuan; Yanyue Xie; Hao Tang 005; Yanyu Li; Miriam Leeser; Zhangyang Wang; Xue Lin 001; Zhenman Fang (FPL, 2022)

F8Net: Fixed-Point 8-bit Only Multiplication for Network Quantization. - Qing Jin; Jian Ren 005; Richard Zhuang; Sumant Hanumante; Zhengang Li; Zhiyu Chen 003; Yanzhi Wang; Kaiyuan Yang 001; Sergey Tulyakov (ICLR, 2022)

FAIVconf: Face Enhancement for AI-Based Video Conference with Low Bit-Rate. - Zhengang Li; Sheng Lin 001; Shan Liu 001; Songnan Li; Xue Lin 001; Wei Wang 311; Wei Jiang 001 (ICME Workshops, 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; et al. (ISQED, 2022)

More or Less (MoL): Defending against Multiple Perturbation Attacks on Deep Neural Networks through Model Ensemble and Compression. - Hao Cheng 015; Kaidi Xu; Zhengang Li; Pu Zhao 001; Chenan Wang; Xue Lin 001; Bhavya Kailkhura; Ryan A. Goldhahn (WACV (Workshops), 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; Xuehai Qian; Xue Lin 001; Yanzhi Wang; Bin Ren (IEEE Trans. Pattern Anal. Mach. Intell., 2022)

Highly Sensitive Sphere-Tube Coupled Photoacoustic Cell Suitable for Detection of a Variety of Trace Gases: NO2 as an Example. - Zhengang Li; Ganshang Si; Zhiqiang Ning; Jiaxiang Liu; Yonghua Fang; Beibei Si; Zhen Cheng; Changping Yang (Sensors, 2022)

Non-Structured DNN Weight Pruning - Is It Beneficial in Any Platform? - Xiaolong Ma; Sheng Lin 001; Shaokai Ye; Zhezhi He; Linfeng Zhang 001; Geng Yuan; Sia Huat Tan; Zhengang Li; Deliang Fan; Xuehai Qian; Xue Lin 001; Kaisheng Ma; et al. (IEEE Trans. Neural Networks Learn. Syst., 2022)

StructADMM: Achieving Ultrahigh Efficiency in Structured Pruning for DNNs. - Tianyun Zhang; Shaokai Ye; Xiaoyu Feng; Xiaolong Ma; Kaiqi Zhang 003; Zhengang Li; Jian Tang 008; Sijia Liu 001; Xue Lin 001; Yongpan Liu; Makan Fardad; Yanzhi Wang (IEEE Trans. Neural Networks Learn. Syst., 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; Xue Lin 001; Xulong Tang; Yanzhi Wang (ACM Trans. Design Autom. Electr. 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; Xulong Tang; et al. (ACM Trans. Embed. Comput. Syst., 2022)

Chromosome-level Genomes Reveal the Genetic Basis of Descending Dysploidy and Sex Determination in Morus Plants. - Zhongqiang Xia; Xuelei Dai; Wei Fan; Changying Liu; Meirong Zhang; Peipei Bian; Yuping Zhou; Liang Li; Baozhong Zhu; Shuman Liu; Zhengang Li; Xiling Wang; et al. (Genom. Proteom. Bioinform., 2022)

Performance Assessment of an Extremely Energy-Efficient Binary Neural Network Using Adiabatic Superconductor Devices. - Olivia Chen; Zhengang Li; Tomoharu Yamauchi; Yanzhi Wang; Nobuyuki Yoshikawa (AICAS, 2023)

Invited: Algorithm-Software-Hardware Co-Design for Deep Learning Acceleration. - Zhengang Li; Yanyue Xie; Peiyan Dong; Olivia Chen; Yanzhi Wang (DAC, 2023)

ESRU: Extremely Low-Bit and Hardware-Efficient Stochastic Rounding Unit Design for Low-Bit DNN Training. - Sung-En Chang; Geng Yuan; Alec Lu; Mengshu Sun; Yanyu Li; Xiaolong Ma; Zhengang Li; Yanyue Xie; Minghai Qin; Xue Lin 001; Zhenman Fang; Yanzhi Wang (DATE, 2023)

HeatViT: Hardware-Efficient Adaptive Token Pruning for Vision Transformers. - Peiyan Dong; Mengshu Sun; Alec Lu; Yanyue Xie; Kenneth Liu; Zhenglun Kong; Xin Meng; Zhengang Li; Xue Lin 001; Zhenman Fang; Yanzhi Wang (HPCA, 2023)

StereoVoxelNet: Real-Time Obstacle Detection Based on Occupancy Voxels from a Stereo Camera Using Deep Neural Networks. - Hongyu Li 003; Zhengang Li; Neset Ünver Akmandor; Huaizu Jiang; Yanzhi Wang; Taskin Padir (ICRA, 2023)

SupeRBNN: Randomized Binary Neural Network Using Adiabatic Superconductor Josephson Devices. - Zhengang Li; Geng Yuan; Tomoharu Yamauchi; Masoud Zabihi; Yanyue Xie; Peiyan Dong; Xulong Tang; Nobuyuki Yoshikawa; Devesh Tiwari; Yanzhi Wang; Olivia Chen (MICRO, 2023)

A Life-Cycle Energy and Inventory Analysis of Adiabatic Quantum-Flux-Parametron Circuits. - Masoud Zabihi; Yanyue Xie; Zhengang Li; Peiyan Dong; Geng Yuan; Olivia Chen; Massoud Pedram; Yanzhi Wang (CoRR, 2023)

Agile-Quant: Activation-Guided Quantization for Faster Inference of LLMs on the Edge. - Xuan Shen; Peiyan Dong; Lei Lu; Zhenglun Kong; Zhengang Li; Ming Lin; Chao Wu; Yanzhi Wang (AAAI, 2024)

SNED: Superposition Network Architecture Search for Efficient Video Diffusion Model. - Zhengang Li; Yan Kang; Yuchen Liu 002; Difan Liu; Tobias Hinz; Feng Liu 015; Yanzhi Wang (CVPR, 2024)

Late Breaking Result: AQFP-aware Binary Neural Network Architecture Search. - Zhengang Li; Xuan Shen; Geng Yuan; Masoud Zabihi; Tomoharu Yamauchi; Yanzhi Wang; Olivia Chen (DAC, 2024)

SuperFlow: A Fully-Customized RTL-to-GDS Design Automation Flow for Adiabatic Quantum- Flux - Parametron Superconducting Circuits. - Yanyue Xie; Peiyan Dong; Geng Yuan; Zhengang Li; Masoud Zabihi; Chao Wu 006; Sung-En Chang; Xufeng Zhang; Xue Lin 001; Caiwen Ding; Nobuyuki Yoshikawa; Olivia Chen; et al. (DATE, 2024)

A Video Coding Method Based on Neural Network for CLIC2024. - Zhengang Li; Jingchi Zhang; Yonghua Wang; Xing Zeng; Zhen Zhang; Yunlin Long; Menghu Jia; Ning Wang (DCC, 2024)

Quasar-ViT: Hardware-Oriented Quantization-Aware Architecture Search for Vision Transformers. - Zhengang Li; Alec Lu; Yanyue Xie; Zhenglun Kong; Mengshu Sun; Hao Tang 005; Zhong Jia Xue; Peiyan Dong; Caiwen Ding; Yanzhi Wang; Xue Lin 001; Zhenman Fang (ICS, 2024)

LUTMUL: Exceed Conventional FPGA Roofline Limit by LUT-based Efficient Multiplication for Neural Network Inference. - Yanyue Xie; Zhengang Li; Dana Diaconu; Suranga Handagala; Miriam Leeser; Xue Lin 001 (ASP-DAC, 2025)

FastCar: Cache Attentive Replay for Fast Auto-Regressive Video Generation on the Edge. - Xuan Shen; Weize Ma; Yufa Zhou 001; Enhao Tang; Yanyue Xie; Zhengang Li; Yifan Gong 004; Quanyi Wang; Henghui Ding; Yiwei Wang 001; Yanzhi Wang; Pu Zhao 001; et al. (CoRR, 2025)