CirCNN: accelerating and compressing deep neural networks using block-circulant weight matrices. - Caiwen Ding; Siyu Liao; Yanzhi Wang; Zhe Li 001; Ning Liu 007; Youwei Zhuo; Chao Wang 051; Xuehai Qian; Yu Bai 004; Geng Yuan; Xiaolong Ma; Yipeng Zhang; et al. (MICRO, 2017)

Memristor crossbar-based ultra-efficient next-generation baseband processors. - Geng Yuan; Caiwen Ding; Ruizhe Cai; Xiaolong Ma; Ziyi Zhao; Ao Ren; Bo Yuan 001; Yanzhi Wang (MWSCAS, 2017)

CirCNN: Accelerating and Compressing Deep Neural Networks Using Block-CirculantWeight Matrices. - Caiwen Ding; Siyu Liao; Yanzhi Wang; Zhe Li 001; Ning Liu 007; Youwei Zhuo; Chao Wang 051; Xuehai Qian; Yu Bai 004; Geng Yuan; Xiaolong Ma; Yipeng Zhang; et al. (CoRR, 2017)

Towards Ultra-High Performance and Energy Efficiency of Deep Learning Systems: An Algorithm-Hardware Co-Optimization Framework. - Yanzhi Wang; Caiwen Ding; Zhe Li 001; Geng Yuan; Siyu Liao; Xiaolong Ma; Bo Yuan 001; Xuehai Qian; Jian Tang 008; Qinru Qiu; Xue Lin 001 (AAAI, 2018)

Structured Weight Matrices-Based Hardware Accelerators in Deep Neural Networks: FPGAs and ASICs. - Caiwen Ding; Ao Ren; Geng Yuan; Xiaolong Ma; Jiayu Li; Ning Liu 007; Bo Yuan 001; Yanzhi Wang (ACM Great Lakes Symposium on VLSI, 2018)

An area and energy efficient design of domain-wall memory-based deep convolutional neural networks using stochastic computing. - Xiaolong Ma; Yipeng Zhang; Geng Yuan; Ao Ren; Zhe Li 001; Jie Han 001; Jingtong Hu; Yanzhi Wang (ISQED, 2018)

An Ultra-Efficient Memristor-Based DNN Framework with Structured Weight Pruning and Quantization Using ADMM. - Geng Yuan; Xiaolong Ma; Caiwen Ding; Sheng Lin 001; Tianyun Zhang; Zeinab S. Jalali; Yilong Zhao; Li Jiang 002; Sucheta Soundarajan; Yanzhi Wang (ISLPED, 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)

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)

Toward Extremely Low Bit and Lossless Accuracy in DNNs with Progressive ADMM. - Sheng Lin 001; Xiaolong Ma; Shaokai Ye; Geng Yuan; Kaisheng Ma; 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)

Tiny but Accurate: A Pruned, Quantized and Optimized Memristor Crossbar Framework for Ultra Efficient DNN Implementation. - Xiaolong Ma; Geng Yuan; Sheng Lin 001; Caiwen Ding; Fuxun Yu; Tao Liu 023; Wujie Wen; Xiang Chen 010; Yanzhi Wang (ASP-DAC, 2020)

New Passive and Active Attacks on Deep Neural Networks in Medical Applications. - Cheng Gongye; Hongjia Li; Xiang Zhang; Majid Sabbagh; Geng Yuan; Xue Lin 001; Thomas Wahl; Yunsi Fei (ICCAD, 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)

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)

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; 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; 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; 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; Geng Yuan; Wei Niu 002; Yanyu Li; Xulong Tang; Bin Ren; 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; Wei Niu 002; Yanyu Li; Xulong Tang; Bin Ren; Yanzhi Wang (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)

An Explainable Convolutional Neural Networks for Automatic Segmentation of the Left Ventricle in Cardiac MRI. - Jun Liu 075; Feng Deng; Geng Yuan; Xue Lin 001; Houbing Song; Yanzhi Wang (CECNet, 2021)

Teachers Do More Than Teach: Compressing Image-to-Image Models. - Qing Jin; Jian Ren 005; Oliver J. Woodford; Jiazhuo Wang; Geng Yuan; Yanzhi Wang; Sergey Tulyakov (CVPR, 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; Yanzhi Wang; Xue Lin 001 (DAC, 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)

HMC-TRAN: A Tensor-core Inspired Hierarchical Model Compression for Transformer-based DNNs on GPU. - Shaoyi Huang; Shiyang Chen 004; Hongwu Peng; Daniel Manu; Zhenglun Kong; Geng Yuan; Lei Yang 018; Shusen Wang; Hang Liu 001; Caiwen Ding (ACM Great Lakes Symposium on VLSI, 2021)

ScaleDNN: Data Movement Aware DNN Training on Multi-GPU. - Weizheng Xu; Ashutosh Pattnaik; Geng Yuan; Yanzhi Wang; Youtao Zhang; Xulong Tang (ICCAD, 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; Xue Lin 001; Yanzhi Wang (ICCV, 2021)

Lottery Ticket Preserves Weight Correlation: Is It Desirable or Not? - Ning Liu 007; Geng Yuan; Zhengping Che; Xuan Shen; Xiaolong Ma; Qing Jin; Jian Ren 005; Jian Tang 008; Sijia Liu 001; Yanzhi Wang (ICML, 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; 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; 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; 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)

Sanity Checks for Lottery Tickets: Does Your Winning Ticket Really Win the Jackpot? - Xiaolong Ma; Geng Yuan; Xuan Shen; Tianlong Chen 001; Xuxi Chen; Xiaohan Chen; Ning Liu 007; Minghai Qin; Sijia Liu 001; Zhangyang Wang; Yanzhi Wang (NeurIPS, 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)

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; Yanzhi Wang; Xue Lin 001 (RTAS, 2021)

Lottery Ticket Implies Accuracy Degradation, Is It a Desirable Phenomenon? - Ning Liu 007; Geng Yuan; Zhengping Che; Xuan Shen; Xiaolong Ma; Qing Jin; Jian Ren 005; Jian Tang 008; Sijia Liu 001; Yanzhi Wang (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; Yanzhi Wang; Xue Lin 001 (CoRR, 2021)

A Data-Loader Tunable Knob to Shorten GPU Idleness for Distributed Deep Learning. - Danlin Jia; Geng Yuan; Xue Lin 001; Ningfang Mi (CLOUD, 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)

Fault-Tolerant Deep Neural Networks for Processing-In-Memory based Autonomous Edge Systems. - Siyue Wang; Geng Yuan; Xiaolong Ma; Yanyu Li; Xue Lin 001; Bhavya Kailkhura (DATE, 2022)

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; Hao Tang 005; Minghai Qin; Yanzhi Wang (ECCV (11), 2022)

You Already Have It: A Generator-Free Low-Precision DNN Training Framework Using Stochastic Rounding. - Geng Yuan; Sung-En Chang; Qing Jin; Alec Lu; Yanyu Li; Yushu Wu; Zhenglun Kong; Yanyue Xie; Peiyan Dong; Minghai Qin; Xiaolong Ma; Xulong Tang; et al. (ECCV (12), 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)

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

Pruning-as-Search: Efficient Neural Architecture Search via Channel Pruning and Structural Reparameterization. - Yanyu Li; Pu Zhao 001; Geng Yuan; Xue Lin 001; Yanzhi Wang; Xin Chen (IJCAI, 2022)

Reliability Improvement in RRAM-based DNN for Edge Computing. - Md. Oli-Uz-Zaman; Saleh Ahmad Khan; Geng Yuan; Yanzhi Wang; Zhiheng Liao; Jingyan Fu; Caiwen Ding; Jinhui Wang (ISCAS, 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)

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; Stratis Ioannidis; Yanzhi Wang; Jennifer G. Dy (NeurIPS, 2022)

EfficientFormer: Vision Transformers at MobileNet Speed. - Yanyu Li; Geng Yuan; Yang Wen; Ju Hu; Georgios Evangelidis 002; Sergey Tulyakov; Yanzhi Wang; Jian Ren 005 (NeurIPS, 2022)

Layer Freezing & Data Sieving: Missing Pieces of a Generic Framework for Sparse Training. - Geng Yuan; Yanyu Li; Sheng Li 019; Zhenglun Kong; Sergey Tulyakov; Xulong Tang; Yanzhi Wang; Jian Ren 005 (NeurIPS, 2022)

Optimizing Data Layout for Training Deep Neural Networks. - Bingyao Li; Qi Xue; Geng Yuan; Sheng Li 019; Xiaolong Ma; Yanzhi Wang; Xulong Tang (WWW (Companion Volume), 2022)

An Automatically Privacy Protection Solution for Implementing the Right to Be Forgotten in Embedded System. - Yanan Zhao; Nong Si; Yu Sun; Xin Gao; Haopeng Tong; Geng Yuan (IEEE Access, 2022)

EfficientFormer: Vision Transformers at MobileNet Speed. - Yanyu Li; Geng Yuan; Yang Wen; Eric Hu; Georgios Evangelidis 002; Sergey Tulyakov; Yanzhi Wang; Jian Ren 005 (CoRR, 2022)

DeltaFS: Pursuing Zero Update Overhead via Metadata-Enabled Delta Compression for Log-structured File System on Mobile Devices. - Chao Wu 006; Cheng Ji 002; Geng Yuan; Riwei Pan; Weichao Guo; Chao Yu; Zongwei Zhu; Yanzhi Wang (CoRR, 2022)

The Lottery Ticket Hypothesis for Vision Transformers. - Xuan Shen; Zhenglun Kong; Minghai Qin; Peiyan Dong; Geng Yuan; Xin Meng; Hao Tang 005; Xiaolong Ma; Yanzhi Wang (CoRR, 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)

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)

Peeling the Onion: Hierarchical Reduction of Data Redundancy for Efficient Vision Transformer Training. - Zhenglun Kong; Haoyu Ma; Geng Yuan; Mengshu Sun; Yanyue Xie; Peiyan Dong; Xin Meng; Xuan Shen; Hao Tang 005; Minghai Qin; Tianlong Chen 001; Xiaolong Ma; et al. (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; Xue Lin 001; Yanzhi Wang (AAAI, 2023)

A Scalable Real-time Semantic Segmentation Network for Autonomous Driving. - Jun Liu 075; Chao Wu 006; Geng Yuan; Wei Niu 002; Wenbin Zhang 002; Houbing Herbert Song (AMC-SME, 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)

MOC: Multi-Objective Mobile CPU-GPU Co-Optimization for Power-Efficient DNN Inference. - Yushu Wu; Yifan Gong 004; Zheng Zhan 001; Geng Yuan; Yanyu Li; Qi Wang; Chao Wu 006; Yanzhi Wang (ICCAD, 2023)

Self-Ensemble Protection: Training Checkpoints Are Good Data Protectors. - Sizhe Chen; Geng Yuan; Xinwen Cheng; Yifan Gong 004; Minghai Qin; Yanzhi Wang; Xiaolin Huang (ICLR, 2023)

SmartFRZ: An Efficient Training Framework using Attention-Based Layer Freezing. - Sheng Li 019; Geng Yuan; Yue Dai 005; Youtao Zhang; Yanzhi Wang; Xulong Tang (ICLR, 2023)

Data Level Lottery Ticket Hypothesis for Vision Transformers. - Xuan Shen; Zhenglun Kong; Minghai Qin; Peiyan Dong; Geng Yuan; Xin Meng; Hao Tang 005; Xiaolong Ma; Yanzhi Wang (IJCAI, 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)

HotBEV: Hardware-oriented Transformer-based Multi-View 3D Detector for BEV Perception. - Peiyan Dong; Zhenglun Kong; Xin Meng; Pinrui Yu; Yifan Gong 004; Geng Yuan; Hao Tang 005; Yanzhi Wang (NeurIPS, 2023)

PackQViT: Faster Sub-8-bit Vision Transformers via Full and Packed Quantization on the Mobile. - Peiyan Dong; Lei Lu; Chao Wu 006; Cheng Lyu; Geng Yuan; Hao Tang 005; Yanzhi Wang (NeurIPS, 2023)

Uncertainty Quantification in Neural Networks Using Stochastic Differential Equations. - Geng Yuan; Hiroaki Mukaidani; Tadashi Shima (SICE, 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)

Towards Artificial General Intelligence (AGI) in the Internet of Things (IoT): Opportunities and Challenges. - Fei Dou; Jin Ye 001; Geng Yuan; Qin Lu 002; Wei Niu 002; Haijian Sun; Le Guan; Guoyu Lu; Gengchen Mai; Ninghao Liu; Jin Lu 001; Zhengliang Liu; et al. (CoRR, 2023)

MTS-LOF: Medical Time-Series Representation Learning via Occlusion-Invariant Features. - Huayu Li; Ana S. Carreon-Rascon; Xiwen Chen; Geng Yuan; Ao Li 004 (CoRR, 2023)

Memristor-Based Spectral Decomposition of Matrices and Its Applications. - Zeinab S. Jalali; Chenghong Wang; Griffin Kearney; Geng Yuan; Caiwen Ding; Yinan Zhou; Yanzhi Wang; Sucheta Soundarajan (IEEE Trans. Computers, 2023)

HRBP: Hardware-friendly Regrouping towards Block-based Pruning for Sparse CNN Training. - Haoyu Ma; Chengming Zhang 006; Lizhi Xiang; Xiaolong Ma; Geng Yuan; Wenkai Zhang; Shiwei Liu 003; Tianlong Chen 001; Dingwen Tao; Yanzhi Wang; Zhangyang Wang; Xiaohui Xie (CPAL, 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)

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; Yanzhi Wang (DATE, 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)

AyE-Edge: Automated Deployment Space Search Empowering Accuracy yet Efficient Real-Time Object Detection on the Edge. - Chao Wu 006; Yifan Gong 004; Liangkai Liu; Mengquan Li; Yushu Wu; Xuan Shen; Zhimin Li; Geng Yuan; Weisong Shi; Yanzhi Wang (ICCAD, 2024)

Waxing-and-Waning: a Generic Similarity-based Framework for Efficient Self-Supervised Learning. - Sheng Li 019; Chao Wu 006; Ao Li 004; Yanzhi Wang; Xulong Tang; Geng Yuan (ICLR, 2024)

Advancing Dynamic Sparse Training by Exploring Optimization Opportunities. - Jie Ji; Gen Li 012; Lu Yin 006; Minghai Qin; Geng Yuan; Linke Guo; Shiwei Liu 003; Xiaolong Ma (ICML, 2024)

Adaptive Homogeneity-Based Client Selection Policy for Federated Learning. - Yiming Xie; Pinrui Yu; Geng Yuan; Xue Lin 001; Ningfang Mi (ISNCC, 2024)

Fast and Memory-Efficient Video Diffusion Using Streamlined Inference. - Zheng Zhan 001; Yushu Wu; Yifan Gong 004; Zichong Meng; Zhenglun Kong; Changdi Yang; Geng Yuan; Pu Zhao 001; Wei Niu 002; Yanzhi Wang (NeurIPS, 2024)

Zero-Space Cost Fault Tolerance for Transformer-based Language Models on ReRAM. - Bingbing Li; Geng Yuan; Zigeng Wang; Shaoyi Huang; Hongwu Peng; Payman Behnam; Wujie Wen; Hang Liu 001; Caiwen Ding (CoRR, 2024)

EdgeOL: Efficient in-situ Online Learning on Edge Devices. - Sheng Li 019; Geng Yuan; Yawen Wu; Yue Dai 005; Chao Wu 006; Alex K. Jones; Jingtong Hu; Yanzhi Wang; Xulong Tang (CoRR, 2024)

Efficient Pruning of Large Language Model with Adaptive Estimation Fusion. - Jun Liu 075; Chao Wu 006; Changdi Yang; Hao Tang 005; Haoye Dong; Zhenglun Kong; Geng Yuan; Wei Niu 002; Dong Huang; Yanzhi Wang (CoRR, 2024)

Improving GPU Multi-Tenancy Through Dynamic Multi-Instance GPU Reconfiguration. - Tianyu Wang; Sheng Li 019; Bingyao Li; Yue Dai 005; Ao Li 004; Geng Yuan; Yufei Ding 001; Youtao Zhang; Xulong Tang (CoRR, 2024)

Brain Tumor Classification on MRI in Light of Molecular Markers. - Jun Liu 075; Geng Yuan; Weihao Zeng; Hao Tang 005; Wenbin Zhang 002; Xue Lin 001; Xiaolin Xu 001; Dong Huang; Yanzhi Wang (CoRR, 2024)

A Data-Loader Tunable Knob to Shorten GPU Idleness for Distributed Deep Learning. - Danlin Jia; Geng Yuan; Yiming Xie; Xue Lin 001; Ningfang Mi (ACM Trans. Archit. Code Optim., 2024)

Toward Adaptive Large Language Models Structured Pruning via Hybrid-grained Weight Importance Assessment. - Jun Liu 075; Zhenglun Kong; Pu Zhao 001; Changdi Yang; Xuan Shen; Hao Tang 005; Geng Yuan; Wei Niu 002; Wenbin Zhang 002; Xue Lin 001; Dong Huang; Yanzhi Wang (AAAI, 2025)

A Computation and Energy Efficient Hardware Architecture for SSL Acceleration. - Huidong Ji; Sheng Li 019; Yue Cao; Chen Ding; Jiawei Xu 001; Qitao Tan; Jun Liu 075; Ao Li 004; Xulong Tang; Lirong Zheng 001; Geng Yuan; Zhuo Zou (ASP-DAC, 2025)

Towards Memory-Efficient and Sustainable Machine Unlearning on Edge using Zeroth-Order Optimizer. - Ci Zhang; Chence Yang; Qitao Tan; Jun Liu 075; Ao Li 004; Yanzhi Wang; Jin Lu 001; Jinhui Wang; Geng Yuan (ACM Great Lakes Symposium on VLSI, 2025)

RoRA: Efficient Fine-Tuning of LLM with Reliability Optimization for Rank Adaptation. - Jun Liu 075; Zhenglun Kong; Peiyan Dong; Xuan Shen; Pu Zhao 001; Hao Tang 005; Geng Yuan; Wei Niu 002; Wenbin Zhang 002; Xue Lin 001; Dong Huang; Yanzhi Wang (ICASSP, 2025)

Mutual Effort for Efficiency: A Similarity-based Token Pruning for Vision Transformers in Self-Supervised Learning. - Sheng Li 019; Qitao Tan; Yue Dai 005; Zhenglun Kong; Tianyu Wang; Jun Liu 075; Ao Li 004; Ninghao Liu; Yufei Ding 001; Xulong Tang; Geng Yuan (ICLR, 2025)

RoRA: Efficient Fine-Tuning of LLM with Reliability Optimization for Rank Adaptation. - Jun Liu 075; Zhenglun Kong; Peiyan Dong; Changdi Yang; Xuan Shen; Pu Zhao 001; Hao Tang 005; Geng Yuan; Wei Niu 002; Wenbin Zhang 002; Xue Lin 001; Dong Huang; et al. (CoRR, 2025)

Enhancing Visual Inspection Capability of Multi-Modal Large Language Models on Medical Time Series with Supportive Conformalized and Interpretable Small Specialized Models. - Huayu Li; Xiwen Chen; Ci Zhang; Stuart F. Quan; William D. S. Killgore; Shu-Fen Wung; Chen X. Chen; Geng Yuan; Jin Lu 001; Ao Li 004 (CoRR, 2025)

Harmony in Divergence: Towards Fast, Accurate, and Memory-efficient Zeroth-order LLM Fine-tuning. - Qitao Tan; Jun Liu; Zheng Zhan 001; Caiwei Ding; Yanzhi Wang; Jin Lu; Geng Yuan (CoRR, 2025)

Perturbation-efficient Zeroth-order Optimization for Hardware-friendly On-device Training. - Qitao Tan; Sung-En Chang; Rui Xia; Huidong Ji; Chence Yang; Ci Zhang; Jun Liu; Zheng Zhan 004; Zhou Zou; Yanzhi Wang; Jin Lu; Geng Yuan (CoRR, 2025)

TSLA: A Task-Specific Learning Adaptation for Semantic Segmentation on Autonomous Vehicles Platform. - Jun Liu 075; Zhenglun Kong; Pu Zhao 001; Weihao Zeng; Hao Tang 005; Xuan Shen; Changdi Yang; Wenbin Zhang 002; Geng Yuan; Wei Niu 002; Xue Lin 001; Yanzhi Wang (IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2025)

Structured Agent Distillation for Large Language Model. - Jun Liu 075; Zhenglun Kong; Peiyan Dong; Changdi Yang; Tianqi Li; Hao Tang 005; Geng Yuan; Wei Niu 002; Wenbin Zhang 002; Pu Zhao 001; Xue Lin 001; Dong Huang; et al. (CoRR, 2025)

KerZOO: Kernel Function Informed Zeroth-Order Optimization for Accurate and Accelerated LLM Fine-Tuning. - Zhendong Mi; Qitao Tan; Xiaodong Yu; Zining Zhu 005; Geng Yuan; Shaoyi Huang (CoRR, 2025)

ACE: Exploring Activation Cosine Similarity and Variance for Accurate and Calibration-Efficient LLM Pruning. - Zhendong Mi; Zhenglun Kong; Geng Yuan; Shaoyi Huang (CoRR, 2025)

Multimodal Cardiovascular Risk Profiling Using Self-Supervised Learning of Polysomnography. - Zhengxiao He; Huayu Li; Geng Yuan; William D. S. Killgore; Stuart F. Quan; Chen X. Chen; Ao Li (CoRR, 2025)

RCR-Router: Efficient Role-Aware Context Routing for Multi-Agent LLM Systems with Structured Memory. - Jun Liu 075; Zhenglun Kong; Changdi Yang; Fan Yang; Tianqi Li; Peiyan Dong; Joannah Nanjekye; Hao Tang 005; Geng Yuan; Wei Niu 002; Wenbin Zhang 002; Pu Zhao 001; et al. (CoRR, 2025)

Rethinking the Potential of Layer Freezing for Efficient DNN Training. - Chence Yang; Ci Zhang; Le Lu 001; Qitao Tan; Sheng Li; Ao Li 004; Xulong Tang; Shaoyi Huang; Jinzhen Wang; Guoming Li; Jundong Li; Xiaoming Zhai; et al. (CoRR, 2025)