High stability and robustness of a developed novel laser acupuncture theranostic device. - Fulin Zhong; Zhenglun Kong; Guoyi Xu; Ting Li 012 (Microelectron. Reliab., 2017)

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)

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)

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)

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)

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)

Accelerating Framework of Transformer by Hardware Design and Model Compression Co-Optimization. - Panjie Qi; Edwin Hsing-Mean Sha; Qingfeng Zhuge; Hongwu Peng; Shaoyi Huang; Zhenglun Kong; Yuhong Song; Bingbing Li (ICCAD, 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)

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)

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)

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)

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)

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)

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)

You Need Multiple Exiting: Dynamic Early Exiting for Accelerating Unified Vision Language Model. - Shengkun Tang; Yaqing Wang 001; Zhenglun Kong; Tianchi Zhang 004; Yao Li 015; Caiwen Ding; Yanzhi Wang; Yi Liang; Dongkuan Xu (CVPR, 2023)

Condense: A Framework for Device and Frequency Adaptive Neural Network Models on the Edge. - Yifan Gong 004; Pu Zhao 001; Zheng Zhan 001; Yushu Wu; Chao Wu 006; Zhenglun Kong; Minghai Qin; Caiwen Ding; 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)

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)

GPU Accelerated Color Correction and Frame Warping for Real-time Video Stitching. - Lu Yang; Zhenglun Kong; Ting Li 012; Xinyi Bai; Zhiye Lin; Hong Cheng (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)

Rethinking Token Reduction for State Space Models. - Zheng Zhan 001; Yushu Wu; Zhenglun Kong; Changdi Yang; Yifan Gong 004; Xuan Shen; Xue Lin 001; Pu Zhao 001; Yanzhi Wang (EMNLP, 2024)

Pruning Foundation Models for High Accuracy without Retraining. - Pu Zhao 001; Fei Sun; Xuan Shen; Pinrui Yu; Zhenglun Kong; Yanzhi Wang; Xue Lin 001 (EMNLP (Findings), 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)

FasterVD: On Acceleration of Video Diffusion Models. - Pinrui Yu; Dan Luo; Timothy Rupprecht; Lei Lu; Zhenglun Kong; Pu Zhao 001; Yanyu Li; Octavia I. Camps; Xue Lin 001; Yanzhi Wang (IJCAI, 2024)

Exploring Token Pruning in Vision State Space Models. - Zheng Zhan 001; Zhenglun Kong; Yifan Gong 004; Yushu Wu; Zichong Meng; Hangyu Zheng; Xuan Shen; Stratis Ioannidis; Wei Niu 002; Pu Zhao 001; Yanzhi Wang (NeurIPS, 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)

Search for Efficient Large Language Models. - Xuan Shen; Pu Zhao 001; Yifan Gong 004; Zhenglun Kong; Zheng Zhan 001; Yushu Wu; Ming Lin; Chao Wu 006; Xue Lin 001; Yanzhi Wang (NeurIPS, 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)

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)

Fully Open Source Moxin-7B Technical Report. - Pu Zhao 001; Xuan Shen; Zhenglun Kong; Yixin Shen; Sung-En Chang; Timothy Rupprecht; Lei Lu; Enfu Nan; Changdi Yang; Yumei He; Xingchen Xu; Yu Huang; et al. (CoRR, 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)

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)

Sparse Learning for State Space Models on Mobile. - Xuan Shen; Hangyu Zheng; Yifan Gong 004; Zhenglun Kong; Changdi Yang; Zheng Zhan 001; Yushu Wu; Xue Lin 001; Yanzhi Wang; Pu Zhao 001; Wei Niu 002 (ICLR, 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)

TxAgent: An AI Agent for Therapeutic Reasoning Across a Universe of Tools. - Shanghua Gao; Richard Zhu; Zhenglun Kong; Ayush Noori; Xiao-Rui Su 001; Curtis Ginder; Theodoros Tsiligkaridis; Marinka Zitnik (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)

Token Reduction Should Go Beyond Efficiency in Generative Models - From Vision, Language to Multimodality. - Zhenglun Kong; Yize Li; Fanhu Zeng; Lei Xin; Shvat Messica; Xue Lin; Pu Zhao; Manolis Kellis; Hao Tang; Marinka Zitnik (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)

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)

Token Transforming: A Unified and Training-Free Token Compression Framework for Vision Transformer Acceleration. - Fanhu Zeng; Deli Yu; Zhenglun Kong; Hao Tang (CoRR, 2025)

SPATIA: Multimodal Model for Prediction and Generation of Spatial Cell Phenotypes. - Zhenglun Kong; Mufan Qiu; John Boesen; Xiang Li 001; Sukwon Yun; Tianlong Chen 001; Manolis Kellis; Marinka Zitnik (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)