Huanrui Yang

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 61

Top Topics

Fpga Implementation

Diffusion Models

Object Detectors

Top Venues

Publications

Rongyu Zhang, Aosong Cheng, Yulin Luo, Gaole Dai, Huanrui Yang, Jiaming Liu, Ran Xu, Li Du, Yuan Du, Yanbing Jiang, Shanghang Zhang
Decomposing the Neurons: Activation Sparsity via Mixture of Experts for Continual Test Time Adaptation. CoRR (2024)
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
VeCAF: VLM-empowered Collaborative Active Finetuning with Training Objective Awareness. CoRR (2024)
Huanrui Yang, Yafeng Huang, Zhen Dong, Denis A. Gudovskiy, Tomoyuki Okuno, Yohei Nakata, Yuan Du, Kurt Keutzer, Shanghang Zhang
Fisher-aware Quantization for DETR Detectors with Critical-category Objectives. CoRR (2024)
Rongyu Zhang, Yulin Luo, Jiaming Liu, Huanrui Yang, Zhen Dong, Denis A. Gudovskiy, Tomoyuki Okuno, Yohei Nakata, Kurt Keutzer, Yuan Du, Shanghang Zhang
Efficient Deweahter Mixture-of-Experts with Uncertainty-Aware Feature-Wise Linear Modulation. AAAI (2024)
Ze Ma, Daquan Zhou, Chun-Hsiao Yeh, Xue-She Wang, Xiuyu Li, Huanrui Yang, Zhen Dong, Kurt Keutzer, Jiashi Feng
Magic-Me: Identity-Specific Video Customized Diffusion. CoRR (2024)
Qijia Huang, Huanrui Yang, Eric Zeng, Yiran Chen
A Deep-Learning-Based Multi-modal ECG and PCG Processing Framework for Label Efficient Heart Sound Segmentation. CHASE (2024)
Haiquan Lu, Xiaotian Liu, Yefan Zhou, Qunli Li, Kurt Keutzer, Michael W. Mahoney, Yujun Yan, Huanrui Yang, Yaoqing Yang
Sharpness-diversity tradeoff: improving flat ensembles with SharpBalance. CoRR (2024)
Yijiang Liu, Rongyu Zhang, Huanrui Yang, Kurt Keutzer, Yuan Du, Li Du, Shanghang Zhang
Intuition-aware Mixture-of-Rank-1-Experts for Parameter Efficient Finetuning. CoRR (2024)
Rongyu Zhang, Yulin Luo, Jiaming Liu, Huanrui Yang, Zhen Dong, Denis A. Gudovskiy, Tomoyuki Okuno, Yohei Nakata, Kurt Keutzer, Yuan Du, Shanghang Zhang
Efficient Deweather Mixture-of-Experts with Uncertainty-aware Feature-wise Linear Modulation. CoRR (2023)
Yijiang Liu, Huanrui Yang, Zhen Dong, Kurt Keutzer, Li Du, Shanghang Zhang
NoisyQuant: Noisy Bias-Enhanced Post-Training Activation Quantization for Vision Transformers. CVPR (2023)
Anthony Chen, Huanrui Yang, Yulu Gan, Denis A. Gudovskiy, Zhen Dong, Haofan Wang, Tomoyuki Okuno, Yohei Nakata, Shanghang Zhang, Kurt Keutzer
Split-Ensemble: Efficient OOD-aware Ensemble via Task and Model Splitting. CoRR (2023)
Huanrui Yang, Hongxu Yin, Maying Shen, Pavlo Molchanov, Hai Li, Jan Kautz
Global Vision Transformer Pruning with Hessian-Aware Saliency. CVPR (2023)
Yifan Zhang, Zhen Dong, Huanrui Yang, Ming Lu, Cheng-Ching Tseng, Yuan Du, Kurt Keutzer, Li Du, Shanghang Zhang
QD-BEV : Quantization-aware View-guided Distillation for Multi-view 3D Object Detection. ICCV (2023)
Xueying Wu, Edward Hanson, Nansu Wang, Qilin Zheng, Xiaoxuan Yang, Huanrui Yang, Shiyu Li, Feng Cheng, Partha Pratim Pande, Janardhan Rao Doppa, Krishnendu Chakrabarty, Hai Li
Block-Wise Mixed-Precision Quantization: Enabling High Efficiency for Practical ReRAM-based DNN Accelerators. CoRR (2023)
Xiuyu Li, Yijiang Liu, Long Lian, Huanrui Yang, Zhen Dong, Daniel Kang, Shanghang Zhang, Kurt Keutzer
Q-Diffusion: Quantizing Diffusion Models. ICCV (2023)
Lirui Xiao, Huanrui Yang, Zhen Dong, Kurt Keutzer, Li Du, Shanghang Zhang
CSQ: Growing Mixed-Precision Quantization Scheme with Bi-level Continuous Sparsification. DAC (2023)
Xiuyu Li, Long Lian, Yijiang Liu, Huanrui Yang, Zhen Dong, Daniel Kang, Shanghang Zhang, Kurt Keutzer
Q-Diffusion: Quantizing Diffusion Models. CoRR (2023)
Xiaoxuan Yang, Huanrui Yang, Janardhan Rao Doppa, Partha Pratim Pande, Krishnendu Chakrabarty, Hai Li
ESSENCE: Exploiting Structured Stochastic Gradient Pruning for Endurance-Aware ReRAM-Based In-Memory Training Systems. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 42 (7) (2023)
Yifan Zhang, Zhen Dong, Huanrui Yang, Ming Lu, Cheng-Ching Tseng, Yuan Du, Kurt Keutzer, Li Du, Shanghang Zhang
QD-BEV : Quantization-aware View-guided Distillation for Multi-view 3D Object Detection. CoRR (2023)
Jingchi Zhang, Huanrui Yang, Hai Li
HCE: Improving Performance and Efficiency with Heterogeneously Compressed Neural Network Ensemble. CoRR (2023)
Lirui Xiao, Huanrui Yang, Zhen Dong, Kurt Keutzer, Li Du, Shanghang Zhang
CSQ: Growing Mixed-Precision Quantization Scheme with Bi-level Continuous Sparsification. CoRR (2022)
Yijiang Liu, Huanrui Yang, Zhen Dong, Kurt Keutzer, Li Du, Shanghang Zhang
NoisyQuant: Noisy Bias-Enhanced Post-Training Activation Quantization for Vision Transformers. CoRR (2022)
Huanrui Yang, Xiaoxuan Yang, Neil Zhenqiang Gong, Yiran Chen
HERO: hessian-enhanced robust optimization for unifying and improving generalization and quantization performance. DAC (2022)
Xiaoxuan Yang, Huanrui Yang, Jingchi Zhang, Hai Helen Li, Yiran Chen
On Building Efficient and Robust Neural Network Designs. IEEECONF (2022)
Huanrui Yang, Lin Duan, Yiran Chen, Hai Li
BSQ: Exploring Bit-Level Sparsity for Mixed-Precision Neural Network Quantization. ICLR (2021)
Jingchi Zhang, Yihao Huang, Huanrui Yang, Michael Martinez, Granger Hickman, Jeffrey L. Krolik, Hai Li
Efficient FPGA Implementation of a Convolutional Neural Network for Radar Signal Processing. AICAS (2021)
Nathan Inkawhich, Kevin J. Liang, Jingyang Zhang, Huanrui Yang, Hai Li, Yiran Chen
Can Targeted Adversarial Examples Transfer When the Source and Target Models Have No Label Space Overlap? ICCVW (2021)
Ang Li, Jiayi Guo, Huanrui Yang, Flora D. Salim, Yiran Chen
DeepObfuscator: Obfuscating Intermediate Representations with Privacy-Preserving Adversarial Learning on Smartphones. IoTDI (2021)
Xiaoxuan Yang, Syrine Belakaria, Biresh Kumar Joardar, Huanrui Yang, Janardhan Rao Doppa, Partha Pratim Pande, Krishnendu Chakrabarty, Hai Li
Multi-Objective Optimization of ReRAM Crossbars for Robust DNN Inferencing under Stochastic Noise. CoRR (2021)
Yiran Chen, Ang Li, Huanrui Yang, Tunhou Zhang, Yuewei Yang, Hai Li, Suman Banerjee, Miroslav Pajic
AI-Powered IoT System at the Edge. CogMI (2021)
Jiachen Mao, Huanrui Yang, Ang Li, Hai Li, Yiran Chen
TPrune: Efficient Transformer Pruning for Mobile Devices. ACM Trans. Cyber Phys. Syst. 5 (3) (2021)
Huanrui Yang, Lin Duan, Yiran Chen, Hai Li
BSQ: Exploring Bit-Level Sparsity for Mixed-Precision Neural Network Quantization. CoRR (2021)
Xiaoxuan Yang, Syrine Belakaria, Biresh Kumar Joardar, Huanrui Yang, Janardhan Rao Doppa, Partha Pratim Pande, Krishnendu Chakrabarty, Hai Helen Li
Multi-Objective Optimization of ReRAM Crossbars for Robust DNN Inferencing under Stochastic Noise. ICCAD (2021)
Huanrui Yang, Hongxu Yin, Pavlo Molchanov, Hai Li, Jan Kautz
NViT: Vision Transformer Compression and Parameter Redistribution. CoRR (2021)
Nathan Inkawhich, Kevin J. Liang, Jingyang Zhang, Huanrui Yang, Hai Li, Yiran Chen
Can Targeted Adversarial Examples Transfer When the Source and Target Models Have No Label Space Overlap? CoRR (2021)
Jingwei Sun, Ang Li, Binghui Wang, Huanrui Yang, Hai Li, Yiran Chen
Soteria: Provable Defense Against Privacy Leakage in Federated Learning From Representation Perspective. CVPR (2021)
Huanrui Yang, Xiaoxuan Yang, Neil Zhenqiang Gong, Yiran Chen
HERO: Hessian-Enhanced Robust Optimization for Unifying and Improving Generalization and Quantization Performance. CoRR (2021)
Zhiyao Xie, Xiaoqing Xu, Matt Walker, Joshua Knebel, Kumaraguru Palaniswamy, Nicolas Hebert, Jiang Hu, Huanrui Yang, Yiran Chen, Shidhartha Das
APOLLO: An Automated Power Modeling Framework for Runtime Power Introspection in High-Volume Commercial Microprocessors. MICRO (2021)
Chang Song, Hsin-Pai Cheng, Huanrui Yang, Sicheng Li, Chunpeng Wu, Qing Wu, Hai Li
Adversarial Attack: A New Threat to Smart Devices and How to Defend It. IEEE Consumer Electron. Mag. 9 (4) (2020)
Ang Li, Yixiao Duan, Huanrui Yang, Yiran Chen, Jianlei Yang
TIPRDC: Task-Independent Privacy-Respecting Data Crowdsourcing Framework with Anonymized Intermediate Representations. CoRR (2020)
Huanrui Yang, Minxue Tang, Wei Wen, Feng Yan, Daniel Hu, Ang Li, Hai Li, Yiran Chen
Learning Low-rank Deep Neural Networks via Singular Vector Orthogonality Regularization and Singular Value Sparsification. CVPR Workshops (2020)
Ang Li, Yixiao Duan, Huanrui Yang, Yiran Chen, Jianlei Yang
TIPRDC: Task-Independent Privacy-Respecting Data Crowdsourcing Framework for Deep Learning with Anonymized Intermediate Representations. KDD (2020)
Huanrui Yang, Minxue Tang, Wei Wen, Feng Yan, Daniel Hu, Ang Li, Hai Li, Yiran Chen
Learning Low-rank Deep Neural Networks via Singular Vector Orthogonality Regularization and Singular Value Sparsification. CoRR (2020)
Jingwei Sun, Ang Li, Binghui Wang, Huanrui Yang, Hai Li, Yiran Chen
Provable Defense against Privacy Leakage in Federated Learning from Representation Perspective. CoRR (2020)
Huanrui Yang, Jingyang Zhang, Hongliang Dong, Nathan Inkawhich, Andrew Gardner, Andrew Touchet, Wesley Wilkes, Heath Berry, Hai Li
DVERGE: Diversifying Vulnerabilities for Enhanced Robust Generation of Ensembles. NeurIPS (2020)
Huanrui Yang, Jingyang Zhang, Hongliang Dong, Nathan Inkawhich, Andrew Gardner, Andrew Touchet, Wesley Wilkes, Heath Berry, Hai Li
DVERGE: Diversifying Vulnerabilities for Enhanced Robust Generation of Ensembles. CoRR (2020)
Huanrui Yang, Wei Wen, Hai Li
DeepHoyer: Learning Sparser Neural Network with Differentiable Scale-Invariant Sparsity Measures. ICLR (2020)
Huanrui Yang, Wei Wen, Hai Li
DeepHoyer: Learning Sparser Neural Network with Differentiable Scale-Invariant Sparsity Measures. CoRR (2019)
Hsin-Pai Cheng, Juncheng Shen, Huanrui Yang, Qing Wu, Hai Li, Yiran Chen
AdverQuil: an efficient adversarial detection and alleviation technique for black-box neuromorphic computing systems. ASP-DAC (2019)
Jingyang Zhang, Huanrui Yang, Fan Chen, Yitu Wang, Hai Li
Exploring Bit-Slice Sparsity in Deep Neural Networks for Efficient ReRAM-Based Deployment. EMC2@NeurIPS (2019)
Xin Liu, Huanrui Yang, Ziwei Liu, Linghao Song, Yiran Chen, Hai Li
DPATCH: An Adversarial Patch Attack on Object Detectors. SafeAI@AAAI (2019)
Jingyang Zhang, Huanrui Yang, Fan Chen, Yitu Wang, Hai Li
Exploring Bit-Slice Sparsity in Deep Neural Networks for Efficient ReRAM-Based Deployment. CoRR (2019)
Huanrui Yang, Jingchi Zhang, Hsin-Pai Cheng, Wenhan Wang, Yiran Chen, Hai Li
Bamboo: Ball-Shape Data Augmentation Against Adversarial Attacks from All Directions. SafeAI@AAAI (2019)
Yang Liu, Qingguo Zeng, Joaquín B. Ordieres Meré, Huanrui Yang
Anticipating Stock Market of the Renowned Companies: A Knowledge Graph Approach. Complex. 2019 (2019)
Ang Li, Jiayi Guo, Huanrui Yang, Yiran Chen
DeepObfuscator: Adversarial Training Framework for Privacy-Preserving Image Classification. CoRR (2019)
Kent W. Nixon, Jiachen Mao, Juncheng Shen, Huanrui Yang, Hai (Helen) Li, Yiran Chen
SPN dash: fast detection of adversarial attacks on mobile via sensor pattern noise fingerprinting. ICCAD (2018)
Ximing Qiao, Xiong Cao, Huanrui Yang, Linghao Song, Hai Li
Atomlayer: a universal reRAM-based CNN accelerator with atomic layer computation. DAC (2018)
Zhe Yuan, Jinshan Yue, Huanrui Yang, Zhibo Wang, Jinyang Li, Yixiong Yang, Qingwei Guo, Xueqing Li, Meng-Fan Chang, Huazhong Yang, Yongpan Liu
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. VLSI Circuits (2018)
Xin Liu, Huanrui Yang, Linghao Song, Hai Li, Yiran Chen
DPatch: Attacking Object Detectors with Adversarial Patches. CoRR (2018)
Chang Song, Hsin-Pai Cheng, Huanrui Yang, Sicheng Li, Chunpeng Wu, Qing Wu, Yiran Chen, Hai Li
MAT: A Multi-strength Adversarial Training Method to Mitigate Adversarial Attacks. ISVLSI (2018)
Yang Liu, Qingguo Zeng, Huanrui Yang, Adrian Carrio
Stock Price Movement Prediction from Financial News with Deep Learning and Knowledge Graph Embedding. PKAW (2018)