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2020 – today
- 2024
[c32]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: 16812-16820- [c31]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: 109-119 - [c30]Anthony Chen, Huanrui Yang, Yulu Gan, Denis A. Gudovskiy, Zhen Dong, Haofan Wang, Tomoyuki Okuno, Yohei Nakata, Kurt Keutzer, Shanghang Zhang:
Split-Ensemble: Efficient OOD-aware Ensemble via Task and Model Splitting. ICML 2024 - [c29]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: Vision-language Collaborative Active Finetuning with Training Objective Awareness. ACM Multimedia 2024: 5451-5459 - [i30]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 abs/2401.07853 (2024) - [i29]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 abs/2402.09368 (2024) - [i28]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 abs/2404.08985 (2024) - [i27]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 abs/2405.16486 (2024) - [i26]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 abs/2407.03442 (2024) - [i25]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 abs/2407.12996 (2024) - [i24]Bhavna Gopal, Huanrui Yang, Jingyang Zhang, Mark Horton, Yiran Chen:
Criticality Leveraged Adversarial Training (CLAT) for Boosted Performance via Parameter Efficiency. CoRR abs/2408.10204 (2024) - [i23]Zhongyu Zhao, Menghang Dong, Rongyu Zhang, Wenzhao Zheng, Yunpeng Zhang, Huanrui Yang, Dalong Du, Kurt Keutzer, Shanghang Zhang:
FactorLLM: Factorizing Knowledge via Mixture of Experts for Large Language Models. CoRR abs/2408.11855 (2024) - [i22]Yijiang Liu, Huanrui Yang, Youxin Chen, Rongyu Zhang, Miao Wang, Yuan Du, Li Du:
PAT: Pruning-Aware Tuning for Large Language Models. CoRR abs/2408.14721 (2024) - 2023
- [j4]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): 2187-2199 (2023) - [c28]Huanrui Yang, Hongxu Yin, Maying Shen, Pavlo Molchanov, Hai Li, Jan Kautz:
Global Vision Transformer Pruning with Hessian-Aware Saliency. CVPR 2023: 18547-18557 - [c27]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: 20321-20330 - [c26]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: 1-6 - [c25]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: 3802-3812 - [c24]Xiuyu Li, Yijiang Liu, Long Lian, Huanrui Yang, Zhen Dong, Daniel Kang, Shanghang Zhang, Kurt Keutzer:
Q-Diffusion: Quantizing Diffusion Models. ICCV 2023: 17489-17499 - [i21]Jingchi Zhang, Huanrui Yang, Hai Li:
HCE: Improving Performance and Efficiency with Heterogeneously Compressed Neural Network Ensemble. CoRR abs/2301.07794 (2023) - [i20]Xiuyu Li, Long Lian, Yijiang Liu, Huanrui Yang, Zhen Dong, Daniel Kang, Shanghang Zhang, Kurt Keutzer:
Q-Diffusion: Quantizing Diffusion Models. CoRR abs/2302.04304 (2023) - [i19]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 abs/2308.10515 (2023) - [i18]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 abs/2310.12182 (2023) - [i17]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 abs/2312.09148 (2023) - [i16]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 abs/2312.16610 (2023) - 2022
- [b1]Huanrui Yang:
Towards Efficient and Robust Deep Neural Network Models. Duke University, Durham, NC, USA, 2022 - [c23]Xiaoxuan Yang, Huanrui Yang, Jingchi Zhang, Hai Helen Li, Yiran Chen:
On Building Efficient and Robust Neural Network Designs. IEEECONF 2022: 317-321 - [c22]Huanrui Yang, Xiaoxuan Yang, Neil Zhenqiang Gong, Yiran Chen:
HERO: hessian-enhanced robust optimization for unifying and improving generalization and quantization performance. DAC 2022: 25-30 - [i15]Yijiang Liu, Huanrui Yang, Zhen Dong, Kurt Keutzer, Li Du, Shanghang Zhang:
NoisyQuant: Noisy Bias-Enhanced Post-Training Activation Quantization for Vision Transformers. CoRR abs/2211.16056 (2022) - [i14]Lirui Xiao, Huanrui Yang, Zhen Dong, Kurt Keutzer, Li Du, Shanghang Zhang:
CSQ: Growing Mixed-Precision Quantization Scheme with Bi-level Continuous Sparsification. CoRR abs/2212.02770 (2022) - 2021
- [j3]Jiachen Mao, Huanrui Yang, Ang Li, Hai Li, Yiran Chen:
TPrune: Efficient Transformer Pruning for Mobile Devices. ACM Trans. Cyber Phys. Syst. 5(3): 26:1-26:22 (2021) - [c21]Jingchi Zhang, Yihao Huang, Huanrui Yang, Michael A. Martinez, Granger Hickman, Jeffrey L. Krolik, Hai Li:
Efficient FPGA Implementation of a Convolutional Neural Network for Radar Signal Processing. AICAS 2021: 1-4 - [c20]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: 242-251 - [c19]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: 9311-9319 - [c18]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: 1-9 - [c17]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: 41-50 - [c16]Huanrui Yang, Lin Duan, Yiran Chen, Hai Li:
BSQ: Exploring Bit-Level Sparsity for Mixed-Precision Neural Network Quantization. ICLR 2021 - [c15]Ang Li, Jiayi Guo, Huanrui Yang, Flora D. Salim, Yiran Chen:
DeepObfuscator: Obfuscating Intermediate Representations with Privacy-Preserving Adversarial Learning on Smartphones. IoTDI 2021: 28-39 - [c14]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: 1-14 - [i13]Huanrui Yang, Lin Duan, Yiran Chen, Hai Li:
BSQ: Exploring Bit-Level Sparsity for Mixed-Precision Neural Network Quantization. CoRR abs/2102.10462 (2021) - [i12]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 abs/2103.09916 (2021) - [i11]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 abs/2109.05437 (2021) - [i10]Huanrui Yang, Hongxu Yin, Pavlo Molchanov, Hai Li, Jan Kautz:
NViT: Vision Transformer Compression and Parameter Redistribution. CoRR abs/2110.04869 (2021) - [i9]Huanrui Yang, Xiaoxuan Yang, Neil Zhenqiang Gong, Yiran Chen:
HERO: Hessian-Enhanced Robust Optimization for Unifying and Improving Generalization and Quantization Performance. CoRR abs/2111.11986 (2021) - 2020
- [j2]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): 49-55 (2020) - [c13]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: 2899-2908 - [c12]Huanrui Yang, Wei Wen, Hai Li:
DeepHoyer: Learning Sparser Neural Network with Differentiable Scale-Invariant Sparsity Measures. ICLR 2020 - [c11]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: 824-832 - [c10]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 - [p1]Ang Li, Huanrui Yang, Yiran Chen:
Task-Agnostic Privacy-Preserving Representation Learning via Federated Learning. Federated Learning 2020: 51-65 - [i8]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 abs/2004.09031 (2020) - [i7]Ang Li, Yixiao Duan, Huanrui Yang, Yiran Chen, Jianlei Yang:
TIPRDC: Task-Independent Privacy-Respecting Data Crowdsourcing Framework with Anonymized Intermediate Representations. CoRR abs/2005.11480 (2020) - [i6]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 abs/2009.14720 (2020) - [i5]Jingwei Sun, Ang Li, Binghui Wang, Huanrui Yang, Hai Li, Yiran Chen:
Provable Defense against Privacy Leakage in Federated Learning from Representation Perspective. CoRR abs/2012.06043 (2020)
2010 – 2019
- 2019
- [j1]Yang Liu, Qingguo Zeng, Joaquín B. Ordieres Meré, Huanrui Yang:
Anticipating Stock Market of the Renowned Companies: A Knowledge Graph Approach. Complex. 2019: 9202457:1-9202457:15 (2019) - [c9]Xin Liu, Huanrui Yang, Ziwei Liu, Linghao Song, Yiran Chen, Hai Li:
DPATCH: An Adversarial Patch Attack on Object Detectors. SafeAI@AAAI 2019 - [c8]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 - [c7]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: 518-525 - [c6]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: 1-5 - [i4]Huanrui Yang, Wei Wen, Hai Li:
DeepHoyer: Learning Sparser Neural Network with Differentiable Scale-Invariant Sparsity Measures. CoRR abs/1908.09979 (2019) - [i3]Ang Li, Jiayi Guo, Huanrui Yang, Yiran Chen:
DeepObfuscator: Adversarial Training Framework for Privacy-Preserving Image Classification. CoRR abs/1909.04126 (2019) - [i2]Jingyang Zhang, Huanrui Yang, Fan Chen, Yitu Wang, Hai Li:
Exploring Bit-Slice Sparsity in Deep Neural Networks for Efficient ReRAM-Based Deployment. CoRR abs/1909.08496 (2019) - 2018
- [c5]Ximing Qiao, Xiong Cao, Huanrui Yang, Linghao Song, Hai Li:
Atomlayer: a universal reRAM-based CNN accelerator with atomic layer computation. DAC 2018: 103:1-103:6 - [c4]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: 132 - [c3]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: 476-481 - [c2]Yang Liu, Qingguo Zeng, Huanrui Yang, Adrian Carrio:
Stock Price Movement Prediction from Financial News with Deep Learning and Knowledge Graph Embedding. PKAW 2018: 102-113 - [c1]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: 33-34 - [i1]Xin Liu, Huanrui Yang, Linghao Song, Hai Li, Yiran Chen:
DPatch: Attacking Object Detectors with Adversarial Patches. CoRR abs/1806.02299 (2018)
Coauthor Index
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last updated on 2024-11-07 21:33 CET by the dblp team
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