Late Breaking Results: An Analytical Timing-Driven Placer for Heterogeneous FPGAs*. - Zhifeng Lin; Yanyue Xie; Gang Qian; Sifei Wang; Jun Yu 010; Jianli Chen (DAC, 2020)

Timing-Driven Placement for FPGAs with Heterogeneous Architectures and Clock Constraints. - Zhifeng Lin; Yanyue Xie; Gang Qian; Jianli Chen; Sifei Wang; Jun Yu 010; Yao-Wen Chang (DATE, 2021)

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)

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)

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)

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)

Mixed-Cell-Height Placement With Complex Minimum-Implant-Area Constraints. - Jianli Chen; Zhifeng Lin; Yanyue Xie; Wenxing Zhu; Yao-Wen Chang (IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2022)

An Incremental Placement Flow for Advanced FPGAs With Timing Awareness. - Zhifeng Lin; Yanyue Xie; Peng Zou; Sifei Wang; Jun Yu 010; Jianli Chen (IEEE Trans. Comput. Aided Des. Integr. Circuits 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)

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)

Machine Learning Across Network-Connected FPGAs. - Dana Diaconu; Yanyue Xie; Mehmet Güngör; Suranga Handagala; Xue Lin 001; Miriam Leeser (HPEC, 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)

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)

HybridFlow: Infusing Continuity into Masked Codebook for Extreme Low-Bitrate Image Compression. - Lei Lu; Yanyue Xie; Wei Jiang 001; Wei Wang 311; Xue Lin 001; Yanzhi Wang (ACM Multimedia, 2024)

MoE-Pruner: Pruning Mixture-of-Experts Large Language Model using the Hints from Its Router. - Yanyue Xie; Zhi Zhang; Ding Zhou; Cong Xie; Ziang Song; Xin Liu; Yanzhi Wang; Xue Lin 001; An Xu (CoRR, 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)

An analytical timing-driven placer for modern heterogeneous FPGAs. - Zhifeng Lin; Yilu Chen; Yanyue Xie; Chuandong Chen; Jun Yu; Jianli Chen (J. Supercomput., 2025)

DraftAttention: Fast Video Diffusion via Low-Resolution Attention Guidance. - Xuan Shen; Chenxia Han; Yufa Zhou 001; Yanyue Xie; Yifan Gong 004; Quanyi Wang; Yiwei Wang 001; Yanzhi Wang; Pu Zhao 001; Jiuxiang Gu (CoRR, 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)