Huanrui Yang

发表

SPN Dash - Fast Detection of Adversarial Attacks on Mobile via Sensor Pattern Noise Fingerprinting

Yiran Chen, Hai Li, Huanrui Yang, 2018, 2018 IEEE/ACM International Conference on Computer-Aided Design (ICCAD).

DeepObfuscator: Adversarial Training Framework for Privacy-Preserving Image Classification

Huanrui Yang, Ang Li, Jiayi Guo, 2019, ArXiv.

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

Hai Li, Huanrui Yang, Linghao Song, 2018, DAC.

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

Jianlei Yang, Huanrui Yang, Ang Li, 2020, KDD.

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

K. Keutzer, Zhen Dong, Shanghang Zhang, 2022, ArXiv.

Soteria: Provable Defense against Privacy Leakage in Federated Learning from Representation Perspective pdf

Jingwei Sun, Ang Li, Binghui Wang, 2020, 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

AtomLayer: A Universal ReRAM-Based CNN Accelerator with Atomic Layer Computation

Huanrui Yang, Linghao Song, Ximing Qiao, 2018, 2018 55th ACM/ESDA/IEEE Design Automation Conference (DAC).

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

Meng-Fan Chang, Huazhong Yang, Xueqing Li, 2018, 2018 IEEE Symposium on VLSI Circuits.

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

Wei Wen, Huanrui Yang, Hai Li, 2019, ICLR.

DVERGE: Diversifying Vulnerabilities for Enhanced Robust Generation of Ensembles pdf

Hai Li, Huanrui Yang, Andrew Gardner, 2020, NeurIPS.

DPATCH: An Adversarial Patch Attack on Object Detectors

Xin Liu, Yiran Chen, Hai Li, 2018, SafeAI@AAAI.

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

Yiran Chen, Huanrui Yang, Hai Li, 2021, ICLR.

NViT: Vision Transformer Compression and Parameter Redistribution pdf

Pavlo Molchanov, Jan Kautz, Hongxu Yin, 2021, ArXiv.

TPrune: Efficient Transformer Pruning for Mobile Devices

Hai Li, Yiran Chen, Huanrui Yang, 2021, ACM Trans. Cyber Phys. Syst..

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

Huanrui Yang, Ang Li, Jiayi Guo, 2019, IoTDI.

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

Qing Wu, Chunpeng Wu, Hai Li, 2020, IEEE Consumer Electronics Magazine.

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

K. Keutzer, Zhen Dong, Shanghang Zhang, 2022, 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

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

Ang Li, Feng Yan, Huanrui Yang, 2020, 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW).

Task-Agnostic Privacy-Preserving Representation Learning via Federated Learning

Ang Li, Huanrui Yang, Yiran Chen, 2020, Federated Learning.

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

Huanrui Yang, Fan Chen, Hai Li, 2019, 2019 Fifth Workshop on Energy Efficient Machine Learning and Cognitive Computing - NeurIPS Edition (EMC2-NIPS).

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

Hai Helen Li, P. Pande, K. Chakrabarty, 2023, IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems.

On Building Efficient and Robust Neural Network Designs

Hai Helen Li, Huanrui Yang, Xiaoxuan Yang, 2022, 2022 56th Asilomar Conference on Signals, Systems, and Computers.

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

Joaquín B. Ordieres Meré, Yang Liu, Huanrui Yang, 2019, Complex..

Global Vision Transformer Pruning with Hessian-Aware Saliency

Hai Helen Li, J. Kautz, Pavlo Molchanov, 2021, 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

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

Yang Liu, Huanrui Yang, Qingguo Zeng, 2018, PKAW.

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

N. Gong, Huanrui Yang, Xiaoxuan Yang, 2021, DAC.

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

Partha Pratim Pande, Krishnendu Chakrabarty, Janardhan Rao Doppa, 2021, 2021 IEEE/ACM International Conference On Computer Aided Design (ICCAD).

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

P. Pande, Huanrui Yang, Qilin Zheng, 2023, ArXiv.

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

Wenhan Wang, Hai Li, Huanrui Yang, 2018, SafeAI@AAAI.

APOLLO: An Automated Power Modeling Framework for Runtime Power Introspection in High-Volume Commercial Microprocessors

Xiaoqing Xu, Nicolas Hebert, Shidhartha Das, 2021, MICRO.

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

K. Keutzer, Zhen Dong, Shanghang Zhang, 2023, 2023 IEEE/CVF International Conference on Computer Vision (ICCV).

Can Targeted Adversarial Examples Transfer When the Source and Target Models Have No Label Space Overlap?

Kevin J Liang, Yiran Chen, H. Li, 2021, 2021 IEEE/CVF International Conference on Computer Vision Workshops (ICCVW).

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

Hai Helen Li, Huanrui Yang, Jingchi Zhang, 2023, ArXiv.