Using Data Compression for Optimizing FPGA-Based Convolutional Neural Network Accelerators. - Yijin Guan; Ningyi Xu; Chen Zhang 001; Zhihang Yuan; Jason Cong (APPT, 2017)

FPGA-based accelerator for long short-term memory recurrent neural networks. - Yijin Guan; Zhihang Yuan; Guangyu Sun 003; Jason Cong (ASP-DAC, 2017)

Reducing Overfitting in Deep Convolutional Neural Networks Using Redundancy Regularizer. - Bingzhe Wu; Zhichao Liu; Zhihang Yuan; Guangyu Sun 003; Charles Wu (ICANN (2), 2017)

S2DNAS: Transforming Static CNN Model for Dynamic Inference via Neural Architecture Search. - Zhihang Yuan; Bingzhe Wu; Guangyu Sun 003; Zheng Liang 003; Shiwan Zhao; Weichen Bi (ECCV (2), 2020)

ENAS4D: Efficient Multi-stage CNN Architecture Search for Dynamic Inference. - Zhihang Yuan; Xin Liu 073; Bingzhe Wu; Guangyu Sun 003 (CoRR, 2020)

Crane: Mitigating Accelerator Under-utilization Caused by Sparsity Irregularities in CNNs. - Yijin Guan; Guangyu Sun 003; Zhihang Yuan; Xingchen Li; Ningyi Xu; Shu Chen; Jason Cong; Yuan Xie 001 (IEEE Trans. Computers, 2020)

Reconfigurable ASIC Implementation of Asynchronous Recurrent Neural Networks. - Spencer Nelson; Sang Yun Kim 002; Jia Di; Zhe Zhou 002; Zhihang Yuan; Guangyu Sun 003 (ASYNC, 2021)

Rapid Configuration of Asynchronous Recurrent Neural Networks for ASIC Implementations. - Spencer Nelson; Wassim Khalil; SangYun Kim 002; Jia Di; Zhe Zhou 002; Zhihang Yuan; Guang-Yu Sun 003 (HPEC, 2021)

NAS4RRAM: neural network architecture search for inference on RRAM-based accelerators. - Zhihang Yuan; Jingze Liu; Xingchen Li; Longhao Yan; Haoxiang Chen 003; Bingzhe Wu; Yuchao Yang 001; Guangyu Sun 003 (Sci. China Inf. Sci., 2021)

METRO: A Software-Hardware Co-Design of Interconnections for Spatial DNN Accelerators. - Zhao Wang; Guangyu Sun 003; Jingchen Zhu; Zhe Zhou 002; Yijiang Guo; Zhihang Yuan (CoRR, 2021)

PTQ-SL: Exploring the Sub-layerwise Post-training Quantization. - Zhihang Yuan; Yiqi Chen; Chenhao Xue; Chenguang Zhang; Qiankun Wang; Guangyu Sun 003 (CoRR, 2021)

PTQ4ViT: Post-Training Quantization Framework for Vision Transformers. - Zhihang Yuan; Chenhao Xue; Yiqi Chen; Qiang Wu 012; Guangyu Sun 003 (CoRR, 2021)

Tailor: removing redundant operations in memristive analog neural network accelerators. - Xingchen Li; Zhihang Yuan; Guangyu Sun 003; Liang Zhao; Zhichao Lu (DAC, 2022)

PTQ4ViT: Post-training Quantization for Vision Transformers with Twin Uniform Quantization. - Zhihang Yuan; Chenhao Xue; Yiqi Chen; Qiang Wu 012; Guangyu Sun 003 (ECCV (12), 2022)

Enabling High-Quality Uncertainty Quantification in a PIM Designed for Bayesian Neural Network. - Xingchen Li; Bingzhe Wu; Guangyu Sun 003; Zhe Zhang 006; Zhihang Yuan; Runsheng Wang; Ru Huang 001; Dimin Niu; Hongzhong Zheng; Zhichao Lu; Liang Zhao; Meng-Fan Marvin Chang; et al. (HPCA, 2022)

Latency-aware Spatial-wise Dynamic Networks. - Yizeng Han; Zhihang Yuan; Yifan Pu; Chenhao Xue; Shiji Song; Guangyu Sun 003; Gao Huang 001 (NeurIPS, 2022)

Flatfish: A Reinforcement Learning Approach for Application-Aware Address Mapping. - Xingchen Li; Zhihang Yuan; Yijin Guan; Guangyu Sun 003; Tao Zhang 032; Rongshan Wei; Dimin Niu (IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2022)

PD-Quant: Post-Training Quantization Based on Prediction Difference Metric. - Jiawei Liu 006; Lin Niu; Zhihang Yuan; Dawei Yang; Xinggang Wang; Wenyu Liu 001 (CVPR, 2023)

Post-Training Quantization on Diffusion Models. - Yuzhang Shang; Zhihang Yuan; Bin Xie; Bingzhe Wu; Yan Yan 002 (CVPR, 2023)

MIM4DD: Mutual Information Maximization for Dataset Distillation. - Yuzhang Shang; Zhihang Yuan; Yan Yan 002 (NeurIPS, 2023)

Benchmarking the Reliability of Post-training Quantization: a Particular Focus on Worst-case Performance. - Zhihang Yuan; Jiawei Liu 006; Jiaxiang Wu 001; Dawei Yang; Qiang Wu 012; Guangyu Sun 003; Wenyu Liu 001; Xinggang Wang; Bingzhe Wu (CoRR, 2023)

RPTQ: Reorder-based Post-training Quantization for Large Language Models. - Zhihang Yuan; Lin Niu; Jiawei Liu 006; Wenyu Liu 001; Xinggang Wang; Yuzhang Shang; Guangyu Sun 003; Qiang Wu 012; Jiaxiang Wu 001; Bingzhe Wu (CoRR, 2023)

Improving Post-Training Quantization on Object Detection with Task Loss-Guided Lp Metric. - Lin Niu; Jiawei Liu 006; Zhihang Yuan; Dawei Yang; Xinggang Wang; Wenyu Liu 001 (CoRR, 2023)

PB-LLM: Partially Binarized Large Language Models. - Yuzhang Shang; Zhihang Yuan; Qiang Wu 012; Zhen Dong 003 (CoRR, 2023)

ASVD: Activation-aware Singular Value Decomposition for Compressing Large Language Models. - Zhihang Yuan; Yuzhang Shang; Yue Song; Qiang Wu 012; Yan Yan 002; Guangyu Sun 003 (CoRR, 2023)

FD-CNN: A Frequency-Domain FPGA Acceleration Scheme for CNN-Based Image-Processing Applications. - Xiaoyang Wang 006; Zhe Zhou 002; Zhihang Yuan; Jingchen Zhu; Yulong Cao; Yao Zhang; Kangrui Sun; Guangyu Sun 003 (ACM Trans. Embed. Comput. Syst., 2023)

Algorithm-Hardware Co-Design for Energy-Efficient A/D Conversion in ReRAM-Based Accelerators. - Chenguang Zhang; Zhihang Yuan; Xingchen Li; Guangyu Sun 003 (DATE, 2024)

CSKV: Training-Efficient Channel Shrinking for KV Cache in Long-Context Scenarios. - Luning Wang; Shiyao Li; Xuefei Ning; Zhihang Yuan; Shengen Yan; Guohao Dai; Yu Wang 002 (ENLSP, 2024)

PB-LLM: Partially Binarized Large Language Models. - Zhihang Yuan; Yuzhang Shang; Zhen Dong 003 (ICLR, 2024)

Learning High-Frequency Functions Made Easy with Sinusoidal Positional Encoding. - Chuanhao Sun; Zhihang Yuan; Kai Xu 014; Luo Mai; N. Siddharth 001; Shuo Chen; Mahesh K. Marina (ICML, 2024)

34.3 A 22nm 64kb Lightning-Like Hybrid Computing-in-Memory Macro with a Compressed Adder Tree and Analog-Storage Quantizers for Transformer and CNNs. - An Guo 001; Xi Chen 107; Fangyuan Dong; Jinwu Chen; Zhihang Yuan; Xing Hu 010; Yuanpeng Zhang; Jingmin Zhang; Yuchen Tang; Zhican Zhang; Gang Chen 023; Dawei Yang; et al. (ISSCC, 2024)

DiTFastAttn: Attention Compression for Diffusion Transformer Models. - Zhihang Yuan; Hanling Zhang; Lu Pu; Xuefei Ning; Linfeng Zhang 001; Tianchen Zhao; Shengen Yan; Guohao Dai; Yu Wang 002 (NeurIPS, 2024)

A Force Control Method of Medical Robot Based on Impedance Control. - Zhihang Yuan; Linshuai Zhang; Tao Jiang 014; Shuoxin Gu; Lin Xu 003; Yujie Zhang; Peng Zeng; Marcin Grzegorzek (ROBIO, 2024)

QuEST: Low-bit Diffusion Model Quantization via Efficient Selective Finetuning. - Haoxuan Wang 002; Yuzhang Shang; Zhihang Yuan; Junyi Wu 002; Yan Yan 002 (CoRR, 2024)

WKVQuant: Quantizing Weight and Key/Value Cache for Large Language Models Gains More. - Yuxuan Yue; Zhihang Yuan; Haojie Duanmu; Sifan Zhou; Jianlong Wu; Liqiang Nie (CoRR, 2024)

LLM Inference Unveiled: Survey and Roofline Model Insights. - Zhihang Yuan; Yuzhang Shang; Yang Zhou; Zhen Dong 003; Zhe Zhou 002; Chenhao Xue; Bingzhe Wu; Zhikai Li; Qingyi Gu; Yong Jae Lee; Yan Yan 002; Beidi Chen; et al. (CoRR, 2024)

PillarTrack: Redesigning Pillar-based Transformer Network for Single Object Tracking on Point Clouds. - Weisheng Xu; Sifan Zhou; Zhihang Yuan (CoRR, 2024)

A Survey on Efficient Inference for Large Language Models. - Zixuan Zhou; Xuefei Ning; Ke Hong; Tianyu Fu 004; Jiaming Xu; Shiyao Li; Yuming Lou; Luning Wang; Zhihang Yuan; Xiuhong Li; Shengen Yan; Guohao Dai; et al. (CoRR, 2024)

SKVQ: Sliding-window Key and Value Cache Quantization for Large Language Models. - Haojie Duanmu; Zhihang Yuan; Xiuhong Li; Jiangfei Duan; Xingcheng Zhang; Dahua Lin (CoRR, 2024)

A Closer Look at Time Steps is Worthy of Triple Speed-Up for Diffusion Model Training. - Kai Wang 036; Yukun Zhou; Mingjia Shi; Zhihang Yuan; Yuzhang Shang; Xiaojiang Peng; Hanwang Zhang; Yang You 001 (CoRR, 2024)

I-LLM: Efficient Integer-Only Inference for Fully-Quantized Low-Bit Large Language Models. - Xing Hu 010; Yuan Cheng; Dawei Yang; Zhihang Yuan; Jiangyong Yu; Chen Xu; Sifan Zhou (CoRR, 2024)

DiTFastAttn: Attention Compression for Diffusion Transformer Models. - Zhihang Yuan; Pu Lu; Hanling Zhang; Xuefei Ning; Linfeng Zhang 001; Tianchen Zhao; Shengen Yan; Guohao Dai; Yu Wang 002 (CoRR, 2024)

LiteVAR: Compressing Visual Autoregressive Modelling with Efficient Attention and Quantization. - Rui Xie; Tianchen Zhao; Zhihang Yuan; Rui Wan; Wenxi Gao; Zhenhua Zhu; Xuefei Ning; Yu Wang 002 (CoRR, 2024)

MVCTrack: Boosting 3D Point Cloud Tracking via Multimodal-Guided Virtual Cues. - Zhaofeng Hu; Sifan Zhou; Shibo Zhao; Zhihang Yuan (CoRR, 2024)

E-CAR: Efficient Continuous Autoregressive Image Generation via Multistage Modeling. - Zhihang Yuan; Yuzhang Shang; Hanling Zhang; Tongcheng Fang; Rui Xie; Bingxin Xu; Yan Yan 002; Shengen Yan; Guohao Dai; Yu Wang 002 (CoRR, 2024)

Stabilized activation scale estimation for precise Post-Training Quantization. - Zhenyang Hao; Xinggang Wang; Jiawei Liu 006; Zhihang Yuan; Dawei Yang; Wenyu Liu 001 (Neurocomputing, 2024)

Post-training quantization for re-parameterization via coarse & fine weight splitting. - Dawei Yang; Ning He; Xing Hu 010; Zhihang Yuan; Jiangyong Yu; Chen Xu; Zhe Jiang 004 (J. Syst. Archit., 2024)

Latency-Aware Unified Dynamic Networks for Efficient Image Recognition. - Yizeng Han; Zeyu Liu; Zhihang Yuan; Yifan Pu; Chaofei Wang; Shiji Song; Gao Huang 001 (IEEE Trans. Pattern Anal. Mach. Intell., 2024)

GSQ-Tuning: Group-Shared Exponents Integer in Fully Quantized Training for LLMs On-Device Fine-tuning. - Sifan Zhou; Shuo Wang 001; Zhihang Yuan; Mingjia Shi; Yuzhang Shang; Dawei Yang (ACL (Findings), 2025)

A Closer Look at Time Steps is Worthy of Triple Speed-Up for Diffusion Model Training. - Kai Wang 036; Mingjia Shi; Yukun Zhou; Zekai Li; Zhihang Yuan; Yuzhang Shang; Xiaojiang Peng; Hanwang Zhang; Yang You 001 (CVPR, 2025)

PillarHist: A Quantization-aware Pillar Feature Encoder based on Height-aware Histogram. - Sifan Zhou; Zhihang Yuan; Dawei Yang; Xing Hu 010; Jian Qian; Ziyu Zhao (CVPR, 2025)

OSTQuant: Refining Large Language Model Quantization with Orthogonal and Scaling Transformations for Better Distribution Fitting. - Xing Hu 010; Yuan Cheng; Dawei Yang; Zhixuan Chen; Zukang Xu; Jiangyong Yu; Chen Xu; Zhihang Yuan; Zhe Jiang 004; Sifan Zhou (ICLR, 2025)

MambaQuant: Quantizing the Mamba Family with Variance Aligned Rotation Methods. - Zukang Xu; Yuxuan Yue; Xing Hu 010; Dawei Yang; Zhihang Yuan; Zixu Jiang; Zhixuan Chen; Jiangyong Yu; Chen Xu; Sifan Zhou (ICLR, 2025)

AIM: Software and Hardware Co-design for Architecture-level IR-drop Mitigation in High-performance PIM. - Yuanpeng Zhang; Xing Hu 010; Xi Chen 107; Zhihang Yuan; Cong Li; Jingchen Zhu; Zhao Wang; Chenguang Zhang; Xin Si; Wei Gao; Qiang Wu 012; Runsheng Wang; et al. (ISCA, 2025)

OstQuant: Refining Large Language Model Quantization with Orthogonal and Scaling Transformations for Better Distribution Fitting. - Xing Hu 010; Yuan Cheng; Dawei Yang; Zukang Xu; Zhihang Yuan; Jiangyong Yu; Chen Xu; Zhe Jiang 004; Sifan Zhou (CoRR, 2025)

MQuant: Unleashing the Inference Potential of Multimodal Large Language Models via Full Static Quantization. - Jiangyong Yu; Sifan Zhou; Dawei Yang; Shuo Wang 001; Shuoyu Li; Xing Hu 010; Chen Xu; Zukang Xu; Changyong Shu; Zhihang Yuan (CoRR, 2025)

DLFR-VAE: Dynamic Latent Frame Rate VAE for Video Generation. - Zhihang Yuan; Siyuan Wang; Rui Xie; Hanling Zhang; Tongcheng Fang; Yuzhang Shang; Shengen Yan; Guohao Dai; Yu Wang 002 (CoRR, 2025)

DiTFastAttnV2: Head-wise Attention Compression for Multi-Modality Diffusion Transformers. - Hanling Zhang; Rundong Su; Zhihang Yuan; Pengtao Chen; Mingzhu Shen; Yibo Fan; Shengen Yan; Guohao Dai; Yu Wang 002 (CoRR, 2025)

VGDFR: Diffusion-based Video Generation with Dynamic Latent Frame Rate. - Zhihang Yuan; Rui Xie; Yuzhang Shang; Hanling Zhang; Siyuan Wang; Shengen Yan; Guohao Dai; Yu Wang 002 (CoRR, 2025)

RWKVQuant: Quantizing the RWKV Family with Proxy Guided Hybrid of Scalar and Vector Quantization. - Chen Xu; Yuxuan Yue; Zukang Xu; Xing Hu 010; Jiangyong Yu; Zhixuan Chen; Sifan Zhou; Zhihang Yuan; Dawei Yang (CoRR, 2025)

MoEQuant: Enhancing Quantization for Mixture-of-Experts Large Language Models via Expert-Balanced Sampling and Affinity Guidance. - Xing Hu 010; Zhixuan Chen; Dawei Yang; Zukang Xu; Chen Xu; Zhihang Yuan; Sifan Zhou; Jiangyong Yu (CoRR, 2025)

MxMoE: Mixed-precision Quantization for MoE with Accuracy and Performance Co-Design. - Haojie Duanmu; Xiuhong Li; Zhihang Yuan; Size Zheng 001; Jiangfei Duan; Xingcheng Zhang; Dahua Lin (CoRR, 2025)

R2R: Efficiently Navigating Divergent Reasoning Paths with Small-Large Model Token Routing. - Tianyu Fu 004; Yi Ge; Yichen You; Enshu Liu; Zhihang Yuan; Guohao Dai; Shengen Yan; Huazhong Yang; Yu Wang 002 (CoRR, 2025)

PCDVQ: Enhancing Vector Quantization for Large Language Models via Polar Coordinate Decoupling. - Yuxuan Yue; Zukang Xu; Zhihang Yuan; Dawei Yang; Jianlong Wu; Liqiang Nie (CoRR, 2025)

SAFEx: Analyzing Vulnerabilities of MoE-Based LLMs via Stable Safety-critical Expert Identification. - ZhengLin Lai; MengYao Liao; Dong Xu 023; Zebin Zhao 007; Zhihang Yuan; Chao Fan; Jianqiang Li; Bingzhe Wu (CoRR, 2025)

SplitMeanFlow: Interval Splitting Consistency in Few-Step Generative Modeling. - Yi Guo; Wei Wang; Zhihang Yuan; Rong Cao; Kuan Chen; Zhengyang Chen; Yuanyuan Huo; Yang Zhang; Yuping Wang; Shouda Liu; Yuxuan Wang (CoRR, 2025)

EA-ViT: Efficient Adaptation for Elastic Vision Transformer. - Chen Zhu; Wangbo Zhao; Huiwen Zhang; Samir Khaki; Yuhao Zhou; Weidong Tang; Shuo Wang 001; Zhihang Yuan; Yuzhang Shang; Xiaojiang Peng; Kai Wang 036; Dawei Yang (CoRR, 2025)

Spec-VLA: Speculative Decoding for Vision-Language-Action Models with Relaxed Acceptance. - Songsheng Wang; Rucheng Yu; Zhihang Yuan; Chao Yu 005; Feng Gao; Yu Wang 002; Derek F. Wong (CoRR, 2025)

VocabTailor: Dynamic Vocabulary Selection for Downstream Tasks in Small Language Models. - Hanling Zhang; Yayu Zhou; Tongcheng Fang; Zhihang Yuan; Guohao Dai; Yu Wang 002 (CoRR, 2025)