DARB: A Density-Aware Regular-Block Pruning for Deep Neural Networks. - Ao Ren; Tao Zhang 032; Yuhao Wang 002; Sheng Lin 001; Peiyan Dong; Yen-Kuang Chen; Yuan Xie 001; Yanzhi Wang (CoRR, 2019)

DARB: A Density-Adaptive Regular-Block Pruning for Deep Neural Networks. - Ao Ren; Tao Zhang 032; Yuhao Wang 002; Sheng Lin 001; Peiyan Dong; Yen-Kuang Chen; Yuan Xie 001; Yanzhi Wang (AAAI, 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)

CSB-RNN: a faster-than-realtime RNN acceleration framework with compressed structured blocks. - Runbin Shi; Peiyan Dong; Tong Geng; Yuhao Ding; Xiaolong Ma; Hayden Kwok-Hay So; Martin C. Herbordt; Ang Li 006; Yanzhi Wang (ICS, 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)

Puncturing the memory wall: Joint optimization of network compression with approximate memory for ASR application. - Qin Li 016; Peiyan Dong; Zijie Yu; Changlu Liu; Fei Qiao; Yanzhi Wang; Huazhong Yang (ASP-DAC, 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)

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

NS-FDN: Near-Sensor Processing Architecture of Feature-Configurable Distributed Network for Beyond-Real-Time Always-on Keyword Spotting. - Qin Li 016; Changlu Liu; Peiyan Dong; Yanming Zhang; Tong Li; Sheng Lin 001; Minda Yang; Fei Qiao; Yanzhi Wang; Li Luo; Huazhong Yang (IEEE Trans. Circuits Syst. I Regul. Pap., 2021)

TAAS: a timing-aware analytical strategy for AQFP-capable placement automation. - Peiyan Dong; Yanyue Xie; Hongjia Li; Mengshu Sun; Olivia Chen; Nobuyuki Yoshikawa; Yanzhi Wang (DAC, 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)

Quantum Neural Network Compression. - Zhirui Hu; Peiyan Dong; Zhepeng Wang 001; Youzuo Lin; Yanzhi Wang; Weiwen Jiang (ICCAD, 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)

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)

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)

Floating Gate Transistor-Based Accurate Digital In-Memory Computing for Deep Neural Networks. - Runze Han; Peng Huang 004; Yachen Xiang; Hong Hu; Sheng Lin; Peiyan Dong; Wensheng Shen; Yanzhi Wang; Xiaoyan Liu; Jinfeng Kang (Adv. Intell. 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)

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

Late Breaking Results: Fast Fair Medical Applications? Hybrid Vision Models Achieve the Fairness on the Edge. - Changdi Yang; Yi Sheng; Peiyan Dong; Zhenglun Kong; Yanyu Li; Pinrui Yu; Lei Yang 018; Xue Lin 001 (DAC, 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)

Fast and Fair Medical AI on the Edge Through Neural Architecture Search for Hybrid Vision Models. - Changdi Yang; Yi Sheng; Peiyan Dong; Zhenglun Kong; Yanyu Li; Pinrui Yu; Lei Yang 018; Xue Lin 001; Yanzhi Wang (ICCAD, 2023)

SpeedDETR: Speed-aware Transformers for End-to-end Object Detection. - Peiyan Dong; Zhenglun Kong; Xin Meng; Peng Zhang; Hao Tang 005; Yanzhi Wang; Chih-Hsien Chou (ICML, 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)

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)

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)

SDA: Low-Bit Stable Diffusion Acceleration on Edge FPGAs. - Geng Yang; Yanyue Xie; Zhong Jia Xue; Sung-En Chang; Yanyu Li; Peiyan Dong; Jie Lei 001; Weiying Xie; Yanzhi Wang; Xue Lin 001; Zhenman Fang (FPL, 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)

EdgeQAT: Entropy and Distribution Guided Quantization-Aware Training for the Acceleration of Lightweight LLMs on the Edge. - Xuan Shen; Zhenglun Kong; Changdi Yang; Zhaoyang Han; Lei Lu; Peiyan Dong; Cheng Lyu; Chih-hsiang Li; Xuehang Guo; Zhihao Shu; Wei Niu 002; Miriam Leeser; et al. (CoRR, 2024)

EQ-ViT: Algorithm-Hardware Co-Design for End-to-End Acceleration of Real-Time Vision Transformer Inference on Versal ACAP Architecture. - Peiyan Dong; Jinming Zhuang; Zhuoping Yang; Shixin Ji; Yanyu Li; Dongkuan Xu; Heng Huang; Jingtong Hu; Alex K. Jones; Yiyu Shi 001; Yanzhi Wang; Peipei Zhou 001 (IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2024)

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)

Q-TempFusion: Quantization-Aware Temporal Multi-Sensor Fusion on Bird's-Eye View Representation. - Pinrui Yu; Zhenglun Kong; Pu Zhao 001; Peiyan Dong; Hao Tang 005; Fei Sun; Xue Lin 001; Yanzhi Wang (WACV, 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)

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)

Enabling Flexible Multi-LLM Integration for Scalable Knowledge Aggregation. - Zhenglun Kong; Zheng Zhan 001; Shiyue Hou; Yifan Gong 004; Xin Meng; Pengwei Sui; Peiyan Dong; Xuan Shen; Zifeng Wang 002; Pu Zhao 001; Hao Tang 005; Stratis Ioannidis; et al. (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)