Atomlayer: a universal reRAM-based CNN accelerator with atomic layer computation. - Ximing Qiao; Xiong Cao; Huanrui Yang; Linghao Song; Hai Li 001 (DAC, 2018)

SPN dash: fast detection of adversarial attacks on mobile via sensor pattern noise fingerprinting. - Kent W. Nixon; Jiachen Mao; Juncheng Shen; Huanrui Yang; Hai (Helen) Li; Yiran Chen 001 (ICCAD, 2018)

MAT: A Multi-strength Adversarial Training Method to Mitigate Adversarial Attacks. - Chang Song 001; Hsin-Pai Cheng; Huanrui Yang; Sicheng Li 001; Chunpeng Wu; Qing Wu 002; Yiran Chen 001; Hai Li 001 (ISVLSI, 2018)

Stock Price Movement Prediction from Financial News with Deep Learning and Knowledge Graph Embedding. - Yang Liu 150; Qingguo Zeng; Huanrui Yang; Adrian Carrio (PKAW, 2018)

Sticker: A 0.41-62.1 TOPS/W 8Bit Neural Network Processor with Multi-Sparsity Compatible Convolution Arrays and Online Tuning Acceleration for Fully Connected Layers. - Zhe Yuan; Jinshan Yue; Huanrui Yang; Zhibo Wang 004; Jinyang Li 002; Yixiong Yang; Qingwei Guo; Xueqing Li 002; Meng-Fan Chang; Huazhong Yang; Yongpan Liu (VLSI Circuits, 2018)

DPatch: Attacking Object Detectors with Adversarial Patches. - Xin Liu 075; Huanrui Yang; Linghao Song; Hai Li 001; Yiran Chen 001 (CoRR, 2018)

DPATCH: An Adversarial Patch Attack on Object Detectors. - Xin Liu 075; Huanrui Yang; Ziwei Liu 002; Linghao Song; Yiran Chen 001; Hai Li 001 (SafeAI@AAAI, 2019)

Bamboo: Ball-Shape Data Augmentation Against Adversarial Attacks from All Directions. - Huanrui Yang; Jingchi Zhang; Hsin-Pai Cheng; Wenhan Wang; Yiran Chen 001; Hai Li 001 (SafeAI@AAAI, 2019)

AdverQuil: an efficient adversarial detection and alleviation technique for black-box neuromorphic computing systems. - Hsin-Pai Cheng; Juncheng Shen; Huanrui Yang; Qing Wu 002; Hai Li 001; Yiran Chen 001 (ASP-DAC, 2019)

Exploring Bit-Slice Sparsity in Deep Neural Networks for Efficient ReRAM-Based Deployment. - Jingyang Zhang; Huanrui Yang; Fan Chen 001; Yitu Wang; Hai Li 001 (EMC2@NeurIPS, 2019)

Anticipating Stock Market of the Renowned Companies: A Knowledge Graph Approach. - Yang Liu 150; Qingguo Zeng; Joaquín B. Ordieres Meré; Huanrui Yang (Complex., 2019)

DeepObfuscator: Adversarial Training Framework for Privacy-Preserving Image Classification. - Ang Li 005; Jiayi Guo; Huanrui Yang; Yiran Chen 001 (CoRR, 2019)

Learning Low-rank Deep Neural Networks via Singular Vector Orthogonality Regularization and Singular Value Sparsification. - Huanrui Yang; Minxue Tang; Wei Wen; Feng Yan 001; Daniel Hu; Ang Li 005; Hai Li 001; Yiran Chen 001 (CVPR Workshops, 2020)

DeepHoyer: Learning Sparser Neural Network with Differentiable Scale-Invariant Sparsity Measures. - Huanrui Yang; Wei Wen; Hai Li 001 (ICLR, 2020)

TIPRDC: Task-Independent Privacy-Respecting Data Crowdsourcing Framework for Deep Learning with Anonymized Intermediate Representations. - Ang Li 005; Yixiao Duan; Huanrui Yang; Yiran Chen 001; Jianlei Yang 001 (KDD, 2020)

DVERGE: Diversifying Vulnerabilities for Enhanced Robust Generation of Ensembles. - Huanrui Yang; Jingyang Zhang; Hongliang Dong; Nathan Inkawhich; Andrew Gardner; Andrew Touchet; Wesley Wilkes; Heath Berry; Hai Li 001 (NeurIPS, 2020)

Adversarial Attack: A New Threat to Smart Devices and How to Defend It. - Chang Song 001; Hsin-Pai Cheng; Huanrui Yang; Sicheng Li 001; Chunpeng Wu; Qing Wu 002; Hai Li 001 (IEEE Consumer Electron. Mag., 2020)

TIPRDC: Task-Independent Privacy-Respecting Data Crowdsourcing Framework with Anonymized Intermediate Representations. - Ang Li 005; Yixiao Duan; Huanrui Yang; Yiran Chen 001; Jianlei Yang 001 (CoRR, 2020)

Provable Defense against Privacy Leakage in Federated Learning from Representation Perspective. - Jingwei Sun 002; Ang Li 005; Binghui Wang; Huanrui Yang; Hai Li 001; Yiran Chen 001 (CoRR, 2020)

Task-Agnostic Privacy-Preserving Representation Learning via Federated Learning. - Ang Li 005; Huanrui Yang; Yiran Chen 001 (Federated Learning, 2020)

Efficient FPGA Implementation of a Convolutional Neural Network for Radar Signal Processing. - Jingchi Zhang; Yihao Huang 002; Huanrui Yang; Michael A. Martinez; Granger Hickman; Jeffrey L. Krolik; Hai Li 001 (AICAS, 2021)

AI-Powered IoT System at the Edge. - Yiran Chen 001; Ang Li 005; Huanrui Yang; Tunhou Zhang; Yuewei Yang; Hai Li 001; Suman Banerjee 001; Miroslav Pajic (CogMI, 2021)

Soteria: Provable Defense Against Privacy Leakage in Federated Learning From Representation Perspective. - Jingwei Sun 002; Ang Li 005; Binghui Wang; Huanrui Yang; Hai Li 001; Yiran Chen 001 (CVPR, 2021)

Multi-Objective Optimization of ReRAM Crossbars for Robust DNN Inferencing under Stochastic Noise. - Xiaoxuan Yang 001; Syrine Belakaria; Biresh Kumar Joardar; Huanrui Yang; Janardhan Rao Doppa; Partha Pratim Pande; Krishnendu Chakrabarty; Hai Helen Li (ICCAD, 2021)

Can Targeted Adversarial Examples Transfer When the Source and Target Models Have No Label Space Overlap? - Nathan Inkawhich; Kevin J. Liang; Jingyang Zhang; Huanrui Yang; Hai Li 001; Yiran Chen 001 (ICCVW, 2021)

BSQ: Exploring Bit-Level Sparsity for Mixed-Precision Neural Network Quantization. - Huanrui Yang; Lin Duan; Yiran Chen 001; Hai Li 001 (ICLR, 2021)

DeepObfuscator: Obfuscating Intermediate Representations with Privacy-Preserving Adversarial Learning on Smartphones. - Ang Li 005; Jiayi Guo; Huanrui Yang; Flora D. Salim; Yiran Chen 001 (IoTDI, 2021)

APOLLO: An Automated Power Modeling Framework for Runtime Power Introspection in High-Volume Commercial Microprocessors. - Zhiyao Xie; Xiaoqing Xu; Matt Walker; Joshua Knebel; Kumaraguru Palaniswamy; Nicolas Hebert; Jiang Hu; Huanrui Yang; Yiran Chen 001; Shidhartha Das (MICRO, 2021)

NViT: Vision Transformer Compression and Parameter Redistribution. - Huanrui Yang; Hongxu Yin; Pavlo Molchanov 001; Hai Li 001; Jan Kautz (CoRR, 2021)

TPrune: Efficient Transformer Pruning for Mobile Devices. - Jiachen Mao; Huanrui Yang; Ang Li 005; Hai Li 001; Yiran Chen 001 (ACM Trans. Cyber Phys. Syst., 2021)

On Building Efficient and Robust Neural Network Designs. - Xiaoxuan Yang 001; Huanrui Yang; Jingchi Zhang; Hai Helen Li; Yiran Chen 001 (IEEECONF, 2022)

HERO: hessian-enhanced robust optimization for unifying and improving generalization and quantization performance. - Huanrui Yang; Xiaoxuan Yang 001; Neil Zhenqiang Gong; Yiran Chen 001 (DAC, 2022)

Towards Efficient and Robust Deep Neural Network Models. - Huanrui Yang (2022)

NoisyQuant: Noisy Bias-Enhanced Post-Training Activation Quantization for Vision Transformers. - Yijiang Liu; Huanrui Yang; Zhen Dong 003; Kurt Keutzer; Li Du; Shanghang Zhang (CVPR, 2023)

Global Vision Transformer Pruning with Hessian-Aware Saliency. - Huanrui Yang; Hongxu Yin; Maying Shen; Pavlo Molchanov 001; Hai Li 001; Jan Kautz (CVPR, 2023)

CSQ: Growing Mixed-Precision Quantization Scheme with Bi-level Continuous Sparsification. - Lirui Xiao; Huanrui Yang; Zhen Dong 003; Kurt Keutzer; Li Du; Shanghang Zhang (DAC, 2023)

Q-Diffusion: Quantizing Diffusion Models. - Xiuyu Li; Yijiang Liu; Long Lian; Huanrui Yang; Zhen Dong 003; Daniel Kang; Shanghang Zhang; Kurt Keutzer (ICCV, 2023)

QD-BEV : Quantization-aware View-guided Distillation for Multi-view 3D Object Detection. - Yifan Zhang; Zhen Dong 003; Huanrui Yang; Ming Lu; Cheng-Ching Tseng; Yuan Du; Kurt Keutzer; Li Du; Shanghang Zhang (ICCV, 2023)

HCE: Improving Performance and Efficiency with Heterogeneously Compressed Neural Network Ensemble. - Jingchi Zhang; Huanrui Yang; Hai Li 001 (CoRR, 2023)

Efficient Deweather Mixture-of-Experts with Uncertainty-aware Feature-wise Linear Modulation. - Rongyu Zhang; Yulin Luo; Jiaming Liu 003; Huanrui Yang; Zhen Dong 003; Denis A. Gudovskiy; Tomoyuki Okuno; Yohei Nakata; Kurt Keutzer; Yuan Du; Shanghang Zhang (CoRR, 2023)

ESSENCE: Exploiting Structured Stochastic Gradient Pruning for Endurance-Aware ReRAM-Based In-Memory Training Systems. - Xiaoxuan Yang 001; Huanrui Yang; Janardhan Rao Doppa; Partha Pratim Pande; Krishnendu Chakrabarty; Hai Li 001 (IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2023)

Efficient Deweahter Mixture-of-Experts with Uncertainty-Aware Feature-Wise Linear Modulation. - Rongyu Zhang; Yulin Luo; Jiaming Liu 003; Huanrui Yang; Zhen Dong 003; Denis A. Gudovskiy; Tomoyuki Okuno; Yohei Nakata; Kurt Keutzer; Yuan Du; Shanghang Zhang (AAAI, 2024)

A Deep-Learning-Based Multi-modal ECG and PCG Processing Framework for Label Efficient Heart Sound Segmentation. - Qijia Huang; Huanrui Yang; Eric Zeng; Yiran Chen 001 (CHASE, 2024)

Magic-Me: Identity-Specific Video Customized Diffusion. - Ze Ma; Daquan Zhou; Xue-She Wang; Chun-Hsiao Yeh; Xiuyu Li; Huanrui Yang; Zhen Dong 003; Kurt Keutzer; Jiashi Feng (ECCV Workshops (5), 2024)

Split-Ensemble: Efficient OOD-aware Ensemble via Task and Model Splitting. - Anthony Chen; Huanrui Yang; Yulu Gan; Denis A. Gudovskiy; Zhen Dong 003; Haofan Wang; Tomoyuki Okuno; Yohei Nakata; Kurt Keutzer; Shanghang Zhang (ICML, 2024)

VeCAF: Vision-language Collaborative Active Finetuning with Training Objective Awareness. - Rongyu Zhang; Zefan Cai; Huanrui Yang; Zidong Liu; Denis A. Gudovskiy; Tomoyuki Okuno; Yohei Nakata; Kurt Keutzer; Baobao Chang; Yuan Du; Li Du; Shanghang Zhang (ACM Multimedia, 2024)

Sharpness-diversity tradeoff: improving flat ensembles with SharpBalance. - Haiquan Lu; Xiaotian Liu; Yefan Zhou; Qunli Li; Kurt Keutzer; Michael W. Mahoney; Yujun Yan; Huanrui Yang; Yaoqing Yang (NeurIPS, 2024)

VeCAF: VLM-empowered Collaborative Active Finetuning with Training Objective Awareness. - Rongyu Zhang; Zefan Cai; Huanrui Yang; Zidong Liu; Denis A. Gudovskiy; Tomoyuki Okuno; Yohei Nakata; Kurt Keutzer; Baobao Chang; Yuan Du; Li Du; Shanghang Zhang (CoRR, 2024)

Intuition-aware Mixture-of-Rank-1-Experts for Parameter Efficient Finetuning. - Yijiang Liu; Rongyu Zhang; Huanrui Yang; Kurt Keutzer; Yuan Du; Li Du; Shanghang Zhang (CoRR, 2024)

Decomposing the Neurons: Activation Sparsity via Mixture of Experts for Continual Test Time Adaptation. - Rongyu Zhang; Aosong Cheng; Yulin Luo; Gaole Dai; Huanrui Yang; Jiaming Liu 003; Ran Xu 013; Li Du; Yuan Du; Yanbing Jiang; Shanghang Zhang (CoRR, 2024)

Fisher-aware Quantization for DETR Detectors with Critical-category Objectives. - Huanrui Yang; Yafeng Huang; Zhen Dong 003; Denis A. Gudovskiy; Tomoyuki Okuno; Yohei Nakata; Yuan Du; Kurt Keutzer; Shanghang Zhang (CoRR, 2024)

Criticality Leveraged Adversarial Training (CLAT) for Boosted Performance via Parameter Efficiency. - Bhavna Gopal; Huanrui Yang; Jingyang Zhang; Mark Horton; Yiran Chen 001 (CoRR, 2024)

FactorLLM: Factorizing Knowledge via Mixture of Experts for Large Language Models. - Zhongyu Zhao; Menghang Dong; Rongyu Zhang; Wenzhao Zheng; Yunpeng Zhang; Huanrui Yang; Dalong Du; Kurt Keutzer; Shanghang Zhang (CoRR, 2024)

A Survey of Small Language Models. - Chien Van Nguyen; Xuan Shen; Ryan Aponte; Yu Xia 007; Samyadeep Basu; Zhengmian Hu; Jian Chen 043; Mihir Parmar; Sasidhar Kunapuli; Joe Barrow; Junda Wu; Ashish Singh; et al. (CoRR, 2024)

Personalized Multimodal Large Language Models: A Survey. - Junda Wu; Hanjia Lyu; Yu Xia 007; Zhehao Zhang 001; Joe Barrow; Ishita Kumar; Mehrnoosh Mirtaheri; Hongjie Chen 003; Ryan A. Rossi; Franck Dernoncourt; Tong Yu 001; Ruiyi Zhang 002; et al. (CoRR, 2024)

Block-Wise Mixed-Precision Quantization: Enabling High Efficiency for Practical ReRAM-Based DNN Accelerators. - Xueying Wu; Edward Hanson; Nansu Wang; Qilin Zheng; Xiaoxuan Yang 001; Huanrui Yang; Shiyu Li 001; Feng Cheng; Partha Pratim Pande; Janardhan Rao Doppa; Krishnendu Chakrabarty; Hai Li 001 (IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2024)

PAT: Pruning-Aware Tuning for Large Language Models. - Yijiang Liu; Huanrui Yang; Youxin Chen; Rongyu Zhang; Miao Wang; Yuan Du; Li Du (AAAI, 2025)

Taming Sensitive Weights : Noise Perturbation Fine-tuning for Robust LLM Quantization. - Dongwei Wang; Huanrui Yang (CPAL, 2025)

SAFER: Sharpness Aware layer-selective Finetuning for Enhanced Robustness in vision transformers. - Bhavna Gopal; Huanrui Yang; Mark Horton; Yiran Chen 001 (CoRR, 2025)

Is Attention Required for Transformer Inference? Explore Function-preserving Attention Replacement. - Yuxin Ren; Maxwell D. Collins; Miao Hu; Huanrui Yang (CoRR, 2025)

BASE-Q: Bias and Asymmetric Scaling Enhanced Rotational Quantization for Large Language Models. - Liulu He; Shenli Zhen; Karwei Sun; Yijiang Liu; Yufei Zhao; Chongkang Tan; Huanrui Yang; Yuan Du; Li Du (CoRR, 2025)

MSQ: Memory-Efficient Bit Sparsification Quantization. - Seokho Han; Seoyeon Yoon; Jinhee Kim; Dongwei Wang; Kang Eun Jeon; Huanrui Yang; Jong Hwan Ko (CoRR, 2025)

FIER: Fine-Grained and Efficient KV Cache Retrieval for Long-context LLM Inference. - Dongwei Wang; Zijie Liu; Song Wang; Yuxin Ren; Jianing Deng; Jingtong Hu; Tianlong Chen 001; Huanrui Yang (CoRR, 2025)