Huanrui Yang
Orcid: 0000-0002-3384-4512
According to our database1,
Huanrui Yang
authored at least 56 papers
between 2018 and 2024.
Collaborative distances:
Collaborative distances:
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Bibliography
2024
Block-Wise Mixed-Precision Quantization: Enabling High Efficiency for Practical ReRAM-Based DNN Accelerators.
IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., December, 2024
CoRR, 2024
Criticality Leveraged Adversarial Training (CLAT) for Boosted Performance via Parameter Efficiency.
CoRR, 2024
CoRR, 2024
Decomposing the Neurons: Activation Sparsity via Mixture of Experts for Continual Test Time Adaptation.
CoRR, 2024
CoRR, 2024
VeCAF: VLM-empowered Collaborative Active Finetuning with Training Objective Awareness.
CoRR, 2024
VeCAF: Vision-language Collaborative Active Finetuning with Training Objective Awareness.
Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024
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.
Proceedings of the IEEE/ACM Conference on Connected Health: Applications, 2024
Efficient Deweahter Mixture-of-Experts with Uncertainty-Aware Feature-Wise Linear Modulation.
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.
IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., July, 2023
Efficient Deweather Mixture-of-Experts with Uncertainty-aware Feature-wise Linear Modulation.
CoRR, 2023
HCE: Improving Performance and Efficiency with Heterogeneously Compressed Neural Network Ensemble.
CoRR, 2023
QD-BEV : Quantization-aware View-guided Distillation for Multi-view 3D Object Detection.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023
CSQ: Growing Mixed-Precision Quantization Scheme with Bi-level Continuous Sparsification.
Proceedings of the 60th ACM/IEEE Design Automation Conference, 2023
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023
NoisyQuant: Noisy Bias-Enhanced Post-Training Activation Quantization for Vision Transformers.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023
2022
HERO: hessian-enhanced robust optimization for unifying and improving generalization and quantization performance.
Proceedings of the DAC '22: 59th ACM/IEEE Design Automation Conference, San Francisco, California, USA, July 10, 2022
Proceedings of the 56th Asilomar Conference on Signals, Systems, and Computers, ACSSC 2022, Pacific Grove, CA, USA, October 31, 2022
2021
ACM Trans. Cyber Phys. Syst., 2021
APOLLO: An Automated Power Modeling Framework for Runtime Power Introspection in High-Volume Commercial Microprocessors.
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.
Proceedings of the IoTDI '21: International Conference on Internet-of-Things Design and Implementation, 2021
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?
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.
Proceedings of the IEEE/ACM International Conference On Computer Aided Design, 2021
Soteria: Provable Defense Against Privacy Leakage in Federated Learning From Representation Perspective.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021
Proceedings of the Third IEEE International Conference on Cognitive Machine Intelligence, 2021
Efficient FPGA Implementation of a Convolutional Neural Network for Radar Signal Processing.
Proceedings of the 3rd IEEE International Conference on Artificial Intelligence Circuits and Systems, 2021
2020
Proceedings of the Federated Learning - Privacy and Incentive, 2020
Provable Defense against Privacy Leakage in Federated Learning from Representation Perspective.
CoRR, 2020
TIPRDC: Task-Independent Privacy-Respecting Data Crowdsourcing Framework with Anonymized Intermediate Representations.
CoRR, 2020
IEEE Consumer Electron. Mag., 2020
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.
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.
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.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020
2019
DeepObfuscator: Adversarial Training Framework for Privacy-Preserving Image Classification.
CoRR, 2019
Complex., 2019
Exploring Bit-Slice Sparsity in Deep Neural Networks for Efficient ReRAM-Based Deployment.
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.
Proceedings of the 24th Asia and South Pacific Design Automation Conference, 2019
Bamboo: Ball-Shape Data Augmentation Against Adversarial Attacks from All Directions.
Proceedings of the Workshop on Artificial Intelligence Safety 2019 co-located with the Thirty-Third AAAI Conference on Artificial Intelligence 2019 (AAAI-19), 2019
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
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.
Proceedings of the 2018 IEEE Symposium on VLSI Circuits, 2018
Stock Price Movement Prediction from Financial News with Deep Learning and Knowledge Graph Embedding.
Proceedings of the Knowledge Management and Acquisition for Intelligent Systems, 2018
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.
Proceedings of the International Conference on Computer-Aided Design, 2018
Proceedings of the 55th Annual Design Automation Conference, 2018