Huanrui Yang

According to our database, Huanrui Yang authored at least 55 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

PAT: Pruning-Aware Tuning for Large Language Models.

Yijiang Liu, Huanrui Yang, Youxin Chen, Rongyu Zhang, Miao Wang, Yuan Du, Li Du

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

Criticality Leveraged Adversarial Training (CLAT) for Boosted Performance via Parameter Efficiency.

Bhavna Gopal, Huanrui Yang, Jingyang Zhang, Mark Horton, Yiran Chen

CoRR, 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

CoRR, 2024

Fisher-aware Quantization for DETR Detectors with Critical-category Objectives.

Huanrui Yang, Yafeng Huang, Zhen Dong, Denis A. Gudovskiy, Tomoyuki Okuno, Yohei Nakata, Yuan Du, Kurt Keutzer, 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, Ran Xu, Li Du, Yuan Du, Yanbing Jiang, 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

Magic-Me: Identity-Specific Video Customized Diffusion.

Ze Ma, Daquan Zhou, Chun-Hsiao Yeh, Xue-She Wang, Xiuyu Li, Huanrui Yang, Zhen Dong, Kurt Keutzer, Jiashi Feng

CoRR, 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

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

Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024

Split-Ensemble: Efficient OOD-aware Ensemble via Task and Model Splitting.

Anthony Chen, Huanrui Yang, Yulu Gan, Denis A. Gudovskiy, Zhen Dong, Haofan Wang, Tomoyuki Okuno, Yohei Nakata, Kurt Keutzer, Shanghang Zhang

Proceedings of the Forty-first International Conference on Machine Learning, 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

Proceedings of the IEEE/ACM Conference on Connected Health: Applications, 2024

Efficient Deweahter Mixture-of-Experts with Uncertainty-Aware Feature-Wise Linear Modulation.

Rongyu Zhang, Yulin Luo, Jiaming Liu, Huanrui Yang, Zhen Dong, Denis A. Gudovskiy, Tomoyuki Okuno, Yohei Nakata, Kurt Keutzer, Yuan Du, Shanghang Zhang

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

ESSENCE: Exploiting Structured Stochastic Gradient Pruning for Endurance-Aware ReRAM-Based In-Memory Training Systems.

Xiaoxuan Yang, Huanrui Yang, Janardhan Rao Doppa, Partha Pratim Pande, Krishnendu Chakrabarty, Hai Li

IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., July, 2023

Efficient Deweather Mixture-of-Experts with Uncertainty-aware Feature-wise Linear Modulation.

Rongyu Zhang, Yulin Luo, Jiaming Liu, Huanrui Yang, Zhen Dong, Denis A. Gudovskiy, Tomoyuki Okuno, Yohei Nakata, Kurt Keutzer, Yuan Du, Shanghang Zhang

CoRR, 2023

Block-Wise Mixed-Precision Quantization: Enabling High Efficiency for Practical ReRAM-based DNN Accelerators.

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

CoRR, 2023

HCE: Improving Performance and Efficiency with Heterogeneously Compressed Neural Network Ensemble.

Jingchi Zhang, Huanrui Yang, Hai Li

CoRR, 2023

QD-BEV : Quantization-aware View-guided Distillation for Multi-view 3D Object Detection.

Yifan Zhang, Zhen Dong, Huanrui Yang, Ming Lu, Cheng-Ching Tseng, Yuan Du, Kurt Keutzer, Li Du, Shanghang Zhang

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Q-Diffusion: Quantizing Diffusion Models.

Xiuyu Li, Yijiang Liu, Long Lian, Huanrui Yang, Zhen Dong, Daniel Kang, Shanghang Zhang, Kurt Keutzer

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

CSQ: Growing Mixed-Precision Quantization Scheme with Bi-level Continuous Sparsification.

Lirui Xiao, Huanrui Yang, Zhen Dong, Kurt Keutzer, Li Du, Shanghang Zhang

Proceedings of the 60th ACM/IEEE Design Automation Conference, 2023

Global Vision Transformer Pruning with Hessian-Aware Saliency.

Huanrui Yang, Hongxu Yin, Maying Shen, Pavlo Molchanov, Hai Li, Jan Kautz

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

NoisyQuant: Noisy Bias-Enhanced Post-Training Activation Quantization for Vision Transformers.

Yijiang Liu, Huanrui Yang, Zhen Dong, Kurt Keutzer, Li Du, Shanghang Zhang

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022

Towards Efficient and Robust Deep Neural Network Models.

Huanrui Yang

PhD thesis, 2022

HERO: hessian-enhanced robust optimization for unifying and improving generalization and quantization performance.

Huanrui Yang, Xiaoxuan Yang, Neil Zhenqiang Gong, Yiran Chen

Proceedings of the DAC '22: 59th ACM/IEEE Design Automation Conference, San Francisco, California, USA, July 10, 2022

On Building Efficient and Robust Neural Network Designs.

Xiaoxuan Yang, Huanrui Yang, Jingchi Zhang, Hai Helen Li, Yiran Chen

Proceedings of the 56th Asilomar Conference on Signals, Systems, and Computers, ACSSC 2022, Pacific Grove, CA, USA, October 31, 2022

2021

TPrune: Efficient Transformer Pruning for Mobile Devices.

Jiachen Mao, Huanrui Yang, Ang Li, Hai Li, Yiran Chen

ACM Trans. Cyber Phys. Syst., 2021

NViT: Vision Transformer Compression and Parameter Redistribution.

Huanrui Yang, Hongxu Yin, Pavlo Molchanov, Hai Li, Jan Kautz

CoRR, 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, Shidhartha Das

Proceedings of the MICRO '21: 54th Annual IEEE/ACM International Symposium on Microarchitecture, 2021

DeepObfuscator: Obfuscating Intermediate Representations with Privacy-Preserving Adversarial Learning on Smartphones.

Ang Li, Jiayi Guo, Huanrui Yang, Flora D. Salim, Yiran Chen

Proceedings of the IoTDI '21: International Conference on Internet-of-Things Design and Implementation, 2021

BSQ: Exploring Bit-Level Sparsity for Mixed-Precision Neural Network Quantization.

Huanrui Yang, Lin Duan, Yiran Chen, Hai Li

Proceedings of the 9th International Conference on Learning Representations, 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, Yiran Chen

Proceedings of the IEEE/CVF International Conference on Computer Vision Workshops, 2021

Multi-Objective Optimization of ReRAM Crossbars for Robust DNN Inferencing under Stochastic Noise.

Xiaoxuan Yang, Syrine Belakaria, Biresh Kumar Joardar, Huanrui Yang, Janardhan Rao Doppa, Partha Pratim Pande, Krishnendu Chakrabarty, Hai Helen Li

Proceedings of the IEEE/ACM International Conference On Computer Aided Design, 2021

Soteria: Provable Defense Against Privacy Leakage in Federated Learning From Representation Perspective.

Jingwei Sun, Ang Li, Binghui Wang, Huanrui Yang, Hai Li, Yiran Chen

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

AI-Powered IoT System at the Edge.

Yiran Chen, Ang Li, Huanrui Yang, Tunhou Zhang, Yuewei Yang, Hai Li, Suman Banerjee, Miroslav Pajic

Proceedings of the Third IEEE International Conference on Cognitive Machine Intelligence, 2021

Efficient FPGA Implementation of a Convolutional Neural Network for Radar Signal Processing.

Jingchi Zhang, Yihao Huang, Huanrui Yang, Michael A. Martinez, Granger Hickman, Jeffrey L. Krolik, Hai Li

Proceedings of the 3rd IEEE International Conference on Artificial Intelligence Circuits and Systems, 2021

2020

Task-Agnostic Privacy-Preserving Representation Learning via Federated Learning.

Ang Li, Huanrui Yang, Yiran Chen

Proceedings of the Federated Learning - Privacy and Incentive, 2020

Provable Defense against Privacy Leakage in Federated Learning from Representation Perspective.

Jingwei Sun, Ang Li, Binghui Wang, Huanrui Yang, Hai Li, Yiran Chen

CoRR, 2020

TIPRDC: Task-Independent Privacy-Respecting Data Crowdsourcing Framework with Anonymized Intermediate Representations.

Ang Li, Yixiao Duan, Huanrui Yang, Yiran Chen, Jianlei Yang

CoRR, 2020

Adversarial Attack: A New Threat to Smart Devices and How to Defend It.

Chang Song, Hsin-Pai Cheng, Huanrui Yang, Sicheng Li, Chunpeng Wu, Qing Wu, Hai Li

IEEE Consumer Electron. Mag., 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

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

TIPRDC: Task-Independent Privacy-Respecting Data Crowdsourcing Framework for Deep Learning with Anonymized Intermediate Representations.

Ang Li, Yixiao Duan, Huanrui Yang, Yiran Chen, Jianlei Yang

Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020

DeepHoyer: Learning Sparser Neural Network with Differentiable Scale-Invariant Sparsity Measures.

Huanrui Yang, Wei Wen, Hai Li

Proceedings of the 8th International Conference on Learning Representations, 2020

Learning Low-rank Deep Neural Networks via Singular Vector Orthogonality Regularization and Singular Value Sparsification.

Huanrui Yang, Minxue Tang, Wei Wen, Feng Yan, Daniel Hu, Ang Li, Hai Li, Yiran Chen

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019

DeepObfuscator: Adversarial Training Framework for Privacy-Preserving Image Classification.

Ang Li, Jiayi Guo, Huanrui Yang, Yiran Chen

CoRR, 2019

Anticipating Stock Market of the Renowned Companies: A Knowledge Graph Approach.

Yang Liu, Qingguo Zeng, Joaquín B. Ordieres Meré, Huanrui Yang

Complex., 2019

Exploring Bit-Slice Sparsity in Deep Neural Networks for Efficient ReRAM-Based Deployment.

Jingyang Zhang, Huanrui Yang, Fan Chen, Yitu Wang, Hai Li

Proceedings of the Fifth Workshop on Energy Efficient Machine Learning and Cognitive Computing, 2019

AdverQuil: an efficient adversarial detection and alleviation technique for black-box neuromorphic computing systems.

Hsin-Pai Cheng, Juncheng Shen, Huanrui Yang, Qing Wu, Hai Li, Yiran Chen

Proceedings of the 24th Asia and South Pacific Design Automation Conference, 2019

Bamboo: Ball-Shape Data Augmentation Against Adversarial Attacks from All Directions.

Huanrui Yang, Jingchi Zhang, Hsin-Pai Cheng, Wenhan Wang, Yiran Chen, Hai Li

Proceedings of the Workshop on Artificial Intelligence Safety 2019 co-located with the Thirty-Third AAAI Conference on Artificial Intelligence 2019 (AAAI-19), 2019

DPATCH: An Adversarial Patch Attack on Object Detectors.

Xin Liu, Huanrui Yang, Ziwei Liu, Linghao Song, Yiran Chen, Hai Li

Proceedings of the Workshop on Artificial Intelligence Safety 2019 co-located with the Thirty-Third AAAI Conference on Artificial Intelligence 2019 (AAAI-19), 2019

2018

DPatch: Attacking Object Detectors with Adversarial Patches.

Xin Liu, Huanrui Yang, Linghao Song, Hai Li, Yiran Chen

CoRR, 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, Jinyang Li, Yixiong Yang, Qingwei Guo, Xueqing Li, Meng-Fan Chang, Huazhong Yang, Yongpan Liu

Proceedings of the 2018 IEEE Symposium on VLSI Circuits, 2018

Stock Price Movement Prediction from Financial News with Deep Learning and Knowledge Graph Embedding.

Yang Liu, Qingguo Zeng, Huanrui Yang, Adrian Carrio

Proceedings of the Knowledge Management and Acquisition for Intelligent Systems, 2018

MAT: A Multi-strength Adversarial Training Method to Mitigate Adversarial Attacks.

Chang Song, Hsin-Pai Cheng, Huanrui Yang, Sicheng Li, Chunpeng Wu, Qing Wu, Yiran Chen, Hai Li

Proceedings of the 2018 IEEE Computer Society Annual Symposium on VLSI, 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

Proceedings of the International Conference on Computer-Aided Design, 2018

Atomlayer: a universal reRAM-based CNN accelerator with atomic layer computation.

Ximing Qiao, Xiong Cao, Huanrui Yang, Linghao Song, Hai Li

Proceedings of the 55th Annual Design Automation Conference, 2018