Huanrui Yang - RankMe

91 papers A* 21A 3B 1C 1Misc 1Journal 47Unranked 15

Year	Rank	Type	Title / Venue / Authors
2026	A*	`conf`	Decomposing the Neurons: Activation Sparsity via Mixture of Experts for Continual Test Time Adaptation. AAAI Rongyu Zhang, Aosong Cheng, Yulin Luo, Gaole Dai, Huanrui Yang, Jiaming Liu, Ran Xu, Li Du, Dan Wang, Yuan Du
2026	J	`jnl`	Dynamic Mix Precision Routing for Efficient Multi-step LLM Interaction. CoRR Yuanzhe Li, Jianing Deng, Jingtong Hu, Tianlong Chen, Song Wang, Huanrui Yang
2026	A*	`conf`	Efficient Model Specialization via Training-time and Test-time Adaptation. AAAI Huanrui Yang
2026	J	`jnl`	MoBiQuant: Mixture-of-Bits Quantization for Token-Adaptive Elastic LLMs. CoRR Dongwei Wang, Jinhee Kim, Seokho Han, Denis A. Gudovskiy, Yohei Nakata, Tomoyuki Okuno, KhayTze Peong, Kang Eun Jeon, Jong Hwan Ko, Yiran Chen, Huanrui Yang
2025	Misc	`conf`	A Survey on Small Language Models. RANLP Chien Van Nguyen, Xuan Shen, Ryan Aponte, Yu Xia, Samyadeep Basu, Zhengmian Hu, Jian Chen, Mihir Parmar, Sasidhar Kunapuli, Joe Barrow, Junda Wu, Ashish Singh, Yu Wang, Jiuxiang Gu, Nesreen K. Ahmed, Nedim Lipka, Ruiyi Zhang, Xiang Chen, Tong Yu, Sungchul Kim, Hanieh Deilamsalehy, Namyong Park, Michael Rimer, Zhehao Zhang, Huanrui Yang, Puneet Mathur, Gang Wu, Franck Dernoncourt, Ryan A. Rossi, Thien Huu Nguyen
2025	J	`jnl`	BASE-Q: Bias and Asymmetric Scaling Enhanced Rotational Quantization for Large Language Models. CoRR Liulu He, Shenli Zhen, Karwei Sun, Yijiang Liu, Yufei Zhao, Chongkang Tan, Huanrui Yang, Yuan Du, Li Du
2025	A*	`conf`	Boosting Adversarial Robustness with CLAT: Criticality Leveraged Adversarial Training. ICML Bhavna Gopal, Huanrui Yang, Jingyang Zhang, Mark Horton, Yiran Chen
2025	J	`jnl`	Bridging Structure and Appearance: Topological Features for Robust Self-Supervised Segmentation. CoRR Haotang Li, Zhenyu Qi, Hao Qin, Huanrui Yang, Sen He, Kebin Peng
2025	A	`conf`	Designing and Training Neural Networks for Analog In-Sensor Deployment: A Hardware-Aware Analysis. ICCAD Mark Horton, Haoxuan Shan, James Kiessling, Huanrui Yang, Yiran Chen, Hai Helen Li
2025	—	`conf`	FIER: Fine-Grained and Efficient KV Cache Retrieval for Long-context LLM Inference. EMNLP (Findings) Dongwei Wang, Zijie Liu, Song Wang, Yuxin Ren, Jianing Deng, Jingtong Hu, Tianlong Chen, Huanrui Yang
2025	J	`jnl`	FIER: Fine-Grained and Efficient KV Cache Retrieval for Long-context LLM Inference. CoRR Dongwei Wang, Zijie Liu, Song Wang, Yuxin Ren, Jianing Deng, Jingtong Hu, Tianlong Chen, Huanrui Yang
2025	J	`jnl`	Is Attention Required for Transformer Inference? Explore Function-preserving Attention Replacement. CoRR Yuxin Ren, Maxwell D. Collins, Miao Hu, Huanrui Yang
2025	J	`jnl`	MSQ: Memory-Efficient Bit Sparsification Quantization. CoRR Seokho Han, Seoyeon Yoon, Jinhee Kim, Dongwei Wang, Kang Eun Jeon, Huanrui Yang, Jong Hwan Ko
2025	A*	`conf`	PAT: Pruning-Aware Tuning for Large Language Models. AAAI Yijiang Liu, Huanrui Yang, Youxin Chen, Rongyu Zhang, Miao Wang, Yuan Du, Li Du
2025	J	`jnl`	SAFER: Sharpness Aware layer-selective Finetuning for Enhanced Robustness in vision transformers. CoRR Bhavna Gopal, Huanrui Yang, Mark Horton, Yiran Chen
2025	J	`jnl`	SQAP-VLA: A Synergistic Quantization-Aware Pruning Framework for High-Performance Vision-Language-Action Models. CoRR Hengyu Fang, Yijiang Liu, Yuan Du, Li Du, Huanrui Yang
2025	—	`conf`	Taming Sensitive Weights : Noise Perturbation Fine-tuning for Robust LLM Quantization. CPAL Dongwei Wang, Huanrui Yang
2024	B	`conf`	A Deep-Learning-Based Multi-modal ECG and PCG Processing Framework for Label Efficient Heart Sound Segmentation. CHASE Qijia Huang, Huanrui Yang, Eric Zeng, Yiran Chen
2024	J	`jnl`	A Survey of Small Language Models. CoRR Chien Van Nguyen, Xuan Shen, Ryan Aponte, Yu Xia, Samyadeep Basu, Zhengmian Hu, Jian Chen, Mihir Parmar, Sasidhar Kunapuli, Joe Barrow, Junda Wu, Ashish Singh, Yu Wang, Jiuxiang Gu, Franck Dernoncourt, Nesreen K. Ahmed, Nedim Lipka, Ruiyi Zhang, Xiang Chen, Tong Yu, Sungchul Kim, Hanieh Deilamsalehy, Namyong Park, Mike Rimer, Zhehao Zhang, Huanrui Yang, Ryan A. Rossi, Thien Huu Nguyen
2024	J	`jnl`	Block-Wise Mixed-Precision Quantization: Enabling High Efficiency for Practical ReRAM-Based DNN Accelerators. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 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
2024	J	`jnl`	Criticality Leveraged Adversarial Training (CLAT) for Boosted Performance via Parameter Efficiency. CoRR Bhavna Gopal, Huanrui Yang, Jingyang Zhang, Mark Horton, Yiran Chen
2024	J	`jnl`	Decomposing the Neurons: Activation Sparsity via Mixture of Experts for Continual Test Time Adaptation. CoRR Rongyu Zhang, Aosong Cheng, Yulin Luo, Gaole Dai, Huanrui Yang, Jiaming Liu, Ran Xu, Li Du, Yuan Du, Yanbing Jiang, Shanghang Zhang
2024	A*	`conf`	Efficient Deweahter Mixture-of-Experts with Uncertainty-Aware Feature-Wise Linear Modulation. AAAI Rongyu Zhang, Yulin Luo, Jiaming Liu, Huanrui Yang, Zhen Dong, Denis A. Gudovskiy, Tomoyuki Okuno, Yohei Nakata, Kurt Keutzer, Yuan Du, Shanghang Zhang
2024	J	`jnl`	FactorLLM: Factorizing Knowledge via Mixture of Experts for Large Language Models. CoRR Zhongyu Zhao, Menghang Dong, Rongyu Zhang, Wenzhao Zheng, Yunpeng Zhang, Huanrui Yang, Dalong Du, Kurt Keutzer, Shanghang Zhang
2024	J	`jnl`	Fisher-aware Quantization for DETR Detectors with Critical-category Objectives. CoRR Huanrui Yang, Yafeng Huang, Zhen Dong, Denis A. Gudovskiy, Tomoyuki Okuno, Yohei Nakata, Yuan Du, Kurt Keutzer, Shanghang Zhang
2024	J	`jnl`	Intuition-aware Mixture-of-Rank-1-Experts for Parameter Efficient Finetuning. CoRR Yijiang Liu, Rongyu Zhang, Huanrui Yang, Kurt Keutzer, Yuan Du, Li Du, Shanghang Zhang
2024	—	`conf`	Magic-Me: Identity-Specific Video Customized Diffusion. ECCV Workshops (5) Ze Ma, Daquan Zhou, Xue-She Wang, Chun-Hsiao Yeh, Xiuyu Li, Huanrui Yang, Zhen Dong, Kurt Keutzer, Jiashi Feng
2024	J	`jnl`	Magic-Me: Identity-Specific Video Customized Diffusion. CoRR Ze Ma, Daquan Zhou, Chun-Hsiao Yeh, Xue-She Wang, Xiuyu Li, Huanrui Yang, Zhen Dong, Kurt Keutzer, Jiashi Feng
2024	J	`jnl`	PAT: Pruning-Aware Tuning for Large Language Models. CoRR Yijiang Liu, Huanrui Yang, Youxin Chen, Rongyu Zhang, Miao Wang, Yuan Du, Li Du
2024	J	`jnl`	Personalized Multimodal Large Language Models: A Survey. CoRR Junda Wu, Hanjia Lyu, Yu Xia, Zhehao Zhang, Joe Barrow, Ishita Kumar, Mehrnoosh Mirtaheri, Hongjie Chen, Ryan A. Rossi, Franck Dernoncourt, Tong Yu, Ruiyi Zhang, Jiuxiang Gu, Nesreen K. Ahmed, Yu Wang, Xiang Chen, Hanieh Deilamsalehy, Namyong Park, Sungchul Kim, Huanrui Yang, Subrata Mitra, Zhengmian Hu, Nedim Lipka, Dang Nguyen, Yue Zhao, Jiebo Luo, Julian J. McAuley
2024	A*	`conf`	Sharpness-diversity tradeoff: improving flat ensembles with SharpBalance. NeurIPS Haiquan Lu, Xiaotian Liu, Yefan Zhou, Qunli Li, Kurt Keutzer, Michael W. Mahoney, Yujun Yan, Huanrui Yang, Yaoqing Yang
2024	J	`jnl`	Sharpness-diversity tradeoff: improving flat ensembles with SharpBalance. CoRR Haiquan Lu, Xiaotian Liu, Yefan Zhou, Qunli Li, Kurt Keutzer, Michael W. Mahoney, Yujun Yan, Huanrui Yang, Yaoqing Yang
2024	A*	`conf`	Split-Ensemble: Efficient OOD-aware Ensemble via Task and Model Splitting. ICML Anthony Chen, Huanrui Yang, Yulu Gan, Denis A. Gudovskiy, Zhen Dong, Haofan Wang, Tomoyuki Okuno, Yohei Nakata, Kurt Keutzer, Shanghang Zhang
2024	J	`jnl`	Taming Sensitive Weights : Noise Perturbation Fine-tuning for Robust LLM Quantization. CoRR Dongwei Wang, Huanrui Yang
2024	J	`jnl`	VeCAF: VLM-empowered Collaborative Active Finetuning with Training Objective Awareness. CoRR 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
2024	A*	`conf`	VeCAF: Vision-language Collaborative Active Finetuning with Training Objective Awareness. ACM Multimedia 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
2023	J	`jnl`	Block-Wise Mixed-Precision Quantization: Enabling High Efficiency for Practical ReRAM-based DNN Accelerators. CoRR 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
2023	A*	`conf`	CSQ: Growing Mixed-Precision Quantization Scheme with Bi-level Continuous Sparsification. DAC Lirui Xiao, Huanrui Yang, Zhen Dong, Kurt Keutzer, Li Du, Shanghang Zhang
2023	J	`jnl`	ESSENCE: Exploiting Structured Stochastic Gradient Pruning for Endurance-Aware ReRAM-Based In-Memory Training Systems. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. Xiaoxuan Yang, Huanrui Yang, Janardhan Rao Doppa, Partha Pratim Pande, Krishnendu Chakrabarty, Hai Li
2023	J	`jnl`	Efficient Deweather Mixture-of-Experts with Uncertainty-aware Feature-wise Linear Modulation. CoRR Rongyu Zhang, Yulin Luo, Jiaming Liu, Huanrui Yang, Zhen Dong, Denis A. Gudovskiy, Tomoyuki Okuno, Yohei Nakata, Kurt Keutzer, Yuan Du, Shanghang Zhang
2023	A*	`conf`	Global Vision Transformer Pruning with Hessian-Aware Saliency. CVPR Huanrui Yang, Hongxu Yin, Maying Shen, Pavlo Molchanov, Hai Li, Jan Kautz
2023	J	`jnl`	HCE: Improving Performance and Efficiency with Heterogeneously Compressed Neural Network Ensemble. CoRR Jingchi Zhang, Huanrui Yang, Hai Li
2023	A*	`conf`	NoisyQuant: Noisy Bias-Enhanced Post-Training Activation Quantization for Vision Transformers. CVPR Yijiang Liu, Huanrui Yang, Zhen Dong, Kurt Keutzer, Li Du, Shanghang Zhang
2023	A*	`conf`	Q-Diffusion: Quantizing Diffusion Models. ICCV Xiuyu Li, Yijiang Liu, Long Lian, Huanrui Yang, Zhen Dong, Daniel Kang, Shanghang Zhang, Kurt Keutzer
2023	J	`jnl`	Q-Diffusion: Quantizing Diffusion Models. CoRR Xiuyu Li, Long Lian, Yijiang Liu, Huanrui Yang, Zhen Dong, Daniel Kang, Shanghang Zhang, Kurt Keutzer
2023	A*	`conf`	QD-BEV : Quantization-aware View-guided Distillation for Multi-view 3D Object Detection. ICCV Yifan Zhang, Zhen Dong, Huanrui Yang, Ming Lu, Cheng-Ching Tseng, Yuan Du, Kurt Keutzer, Li Du, Shanghang Zhang
2023	J	`jnl`	QD-BEV : Quantization-aware View-guided Distillation for Multi-view 3D Object Detection. CoRR Yifan Zhang, Zhen Dong, Huanrui Yang, Ming Lu, Cheng-Ching Tseng, Yuan Du, Kurt Keutzer, Li Du, Shanghang Zhang
2023	J	`jnl`	Split-Ensemble: Efficient OOD-aware Ensemble via Task and Model Splitting. CoRR Anthony Chen, Huanrui Yang, Yulu Gan, Denis A. Gudovskiy, Zhen Dong, Haofan Wang, Tomoyuki Okuno, Yohei Nakata, Shanghang Zhang, Kurt Keutzer
2022	J	`jnl`	CSQ: Growing Mixed-Precision Quantization Scheme with Bi-level Continuous Sparsification. CoRR Lirui Xiao, Huanrui Yang, Zhen Dong, Kurt Keutzer, Li Du, Shanghang Zhang
2022	A*	`conf`	HERO: hessian-enhanced robust optimization for unifying and improving generalization and quantization performance. DAC Huanrui Yang, Xiaoxuan Yang, Neil Zhenqiang Gong, Yiran Chen
2022	J	`jnl`	NoisyQuant: Noisy Bias-Enhanced Post-Training Activation Quantization for Vision Transformers. CoRR Yijiang Liu, Huanrui Yang, Zhen Dong, Kurt Keutzer, Li Du, Shanghang Zhang
2022	—	`conf`	On Building Efficient and Robust Neural Network Designs. IEEECONF Xiaoxuan Yang, Huanrui Yang, Jingchi Zhang, Hai Helen Li, Yiran Chen
2022	—	`—`	Towards Efficient and Robust Deep Neural Network Models. Huanrui Yang
2021	—	`conf`	AI-Powered IoT System at the Edge. CogMI Yiran Chen, Ang Li, Huanrui Yang, Tunhou Zhang, Yuewei Yang, Hai Li, Suman Banerjee, Miroslav Pajic
2021	A*	`conf`	APOLLO: An Automated Power Modeling Framework for Runtime Power Introspection in High-Volume Commercial Microprocessors. MICRO Zhiyao Xie, Xiaoqing Xu, Matt Walker, Joshua Knebel, Kumaraguru Palaniswamy, Nicolas Hebert, Jiang Hu, Huanrui Yang, Yiran Chen, Shidhartha Das
2021	A*	`conf`	BSQ: Exploring Bit-Level Sparsity for Mixed-Precision Neural Network Quantization. ICLR Huanrui Yang, Lin Duan, Yiran Chen, Hai Li
2021	J	`jnl`	BSQ: Exploring Bit-Level Sparsity for Mixed-Precision Neural Network Quantization. CoRR Huanrui Yang, Lin Duan, Yiran Chen, Hai Li
2021	—	`conf`	Can Targeted Adversarial Examples Transfer When the Source and Target Models Have No Label Space Overlap? ICCVW Nathan Inkawhich, Kevin J. Liang, Jingyang Zhang, Huanrui Yang, Hai Li, Yiran Chen
2021	J	`jnl`	Can Targeted Adversarial Examples Transfer When the Source and Target Models Have No Label Space Overlap? CoRR Nathan Inkawhich, Kevin J. Liang, Jingyang Zhang, Huanrui Yang, Hai Li, Yiran Chen
2021	—	`conf`	DeepObfuscator: Obfuscating Intermediate Representations with Privacy-Preserving Adversarial Learning on Smartphones. IoTDI Ang Li, Jiayi Guo, Huanrui Yang, Flora D. Salim, Yiran Chen
2021	—	`conf`	Efficient FPGA Implementation of a Convolutional Neural Network for Radar Signal Processing. AICAS Jingchi Zhang, Yihao Huang, Huanrui Yang, Michael A. Martinez, Granger Hickman, Jeffrey L. Krolik, Hai Li
2021	J	`jnl`	HERO: Hessian-Enhanced Robust Optimization for Unifying and Improving Generalization and Quantization Performance. CoRR Huanrui Yang, Xiaoxuan Yang, Neil Zhenqiang Gong, Yiran Chen
2021	A	`conf`	Multi-Objective Optimization of ReRAM Crossbars for Robust DNN Inferencing under Stochastic Noise. ICCAD Xiaoxuan Yang, Syrine Belakaria, Biresh Kumar Joardar, Huanrui Yang, Janardhan Rao Doppa, Partha Pratim Pande, Krishnendu Chakrabarty, Hai Helen Li
2021	J	`jnl`	Multi-Objective Optimization of ReRAM Crossbars for Robust DNN Inferencing under Stochastic Noise. CoRR Xiaoxuan Yang, Syrine Belakaria, Biresh Kumar Joardar, Huanrui Yang, Janardhan Rao Doppa, Partha Pratim Pande, Krishnendu Chakrabarty, Hai Li
2021	J	`jnl`	NViT: Vision Transformer Compression and Parameter Redistribution. CoRR Huanrui Yang, Hongxu Yin, Pavlo Molchanov, Hai Li, Jan Kautz
2021	A*	`conf`	Soteria: Provable Defense Against Privacy Leakage in Federated Learning From Representation Perspective. CVPR Jingwei Sun, Ang Li, Binghui Wang, Huanrui Yang, Hai Li, Yiran Chen
2021	J	`jnl`	TPrune: Efficient Transformer Pruning for Mobile Devices. ACM Trans. Cyber Phys. Syst. Jiachen Mao, Huanrui Yang, Ang Li, Hai Li, Yiran Chen
2020	J	`jnl`	Adversarial Attack: A New Threat to Smart Devices and How to Defend It. IEEE Consumer Electron. Mag. Chang Song, Hsin-Pai Cheng, Huanrui Yang, Sicheng Li, Chunpeng Wu, Qing Wu, Hai Li
2020	A*	`conf`	DVERGE: Diversifying Vulnerabilities for Enhanced Robust Generation of Ensembles. NeurIPS Huanrui Yang, Jingyang Zhang, Hongliang Dong, Nathan Inkawhich, Andrew Gardner, Andrew Touchet, Wesley Wilkes, Heath Berry, Hai Li
2020	J	`jnl`	DVERGE: Diversifying Vulnerabilities for Enhanced Robust Generation of Ensembles. CoRR Huanrui Yang, Jingyang Zhang, Hongliang Dong, Nathan Inkawhich, Andrew Gardner, Andrew Touchet, Wesley Wilkes, Heath Berry, Hai Li
2020	A*	`conf`	DeepHoyer: Learning Sparser Neural Network with Differentiable Scale-Invariant Sparsity Measures. ICLR Huanrui Yang, Wei Wen, Hai Li
2020	—	`conf`	Learning Low-rank Deep Neural Networks via Singular Vector Orthogonality Regularization and Singular Value Sparsification. CVPR Workshops Huanrui Yang, Minxue Tang, Wei Wen, Feng Yan, Daniel Hu, Ang Li, Hai Li, Yiran Chen
2020	J	`jnl`	Learning Low-rank Deep Neural Networks via Singular Vector Orthogonality Regularization and Singular Value Sparsification. CoRR Huanrui Yang, Minxue Tang, Wei Wen, Feng Yan, Daniel Hu, Ang Li, Hai Li, Yiran Chen
2020	J	`jnl`	Provable Defense against Privacy Leakage in Federated Learning from Representation Perspective. CoRR Jingwei Sun, Ang Li, Binghui Wang, Huanrui Yang, Hai Li, Yiran Chen
2020	A*	`conf`	TIPRDC: Task-Independent Privacy-Respecting Data Crowdsourcing Framework for Deep Learning with Anonymized Intermediate Representations. KDD Ang Li, Yixiao Duan, Huanrui Yang, Yiran Chen, Jianlei Yang
2020	J	`jnl`	TIPRDC: Task-Independent Privacy-Respecting Data Crowdsourcing Framework with Anonymized Intermediate Representations. CoRR Ang Li, Yixiao Duan, Huanrui Yang, Yiran Chen, Jianlei Yang
2020	—	`ch.`	Task-Agnostic Privacy-Preserving Representation Learning via Federated Learning. Federated Learning Ang Li, Huanrui Yang, Yiran Chen
2019	—	`conf`	AdverQuil: an efficient adversarial detection and alleviation technique for black-box neuromorphic computing systems. ASP-DAC Hsin-Pai Cheng, Juncheng Shen, Huanrui Yang, Qing Wu, Hai Li, Yiran Chen
2019	J	`jnl`	Anticipating Stock Market of the Renowned Companies: A Knowledge Graph Approach. Complex. Yang Liu, Qingguo Zeng, Joaquín B. Ordieres Meré, Huanrui Yang
2019	—	`conf`	Bamboo: Ball-Shape Data Augmentation Against Adversarial Attacks from All Directions. SafeAI@AAAI Huanrui Yang, Jingchi Zhang, Hsin-Pai Cheng, Wenhan Wang, Yiran Chen, Hai Li
2019	—	`conf`	DPATCH: An Adversarial Patch Attack on Object Detectors. SafeAI@AAAI Xin Liu, Huanrui Yang, Ziwei Liu, Linghao Song, Yiran Chen, Hai Li
2019	J	`jnl`	DeepHoyer: Learning Sparser Neural Network with Differentiable Scale-Invariant Sparsity Measures. CoRR Huanrui Yang, Wei Wen, Hai Li
2019	J	`jnl`	DeepObfuscator: Adversarial Training Framework for Privacy-Preserving Image Classification. CoRR Ang Li, Jiayi Guo, Huanrui Yang, Yiran Chen
2019	—	`conf`	Exploring Bit-Slice Sparsity in Deep Neural Networks for Efficient ReRAM-Based Deployment. EMC2@NeurIPS Jingyang Zhang, Huanrui Yang, Fan Chen, Yitu Wang, Hai Li
2019	J	`jnl`	Exploring Bit-Slice Sparsity in Deep Neural Networks for Efficient ReRAM-Based Deployment. CoRR Jingyang Zhang, Huanrui Yang, Fan Chen, Yitu Wang, Hai Li
2018	A*	`conf`	Atomlayer: a universal reRAM-based CNN accelerator with atomic layer computation. DAC Ximing Qiao, Xiong Cao, Huanrui Yang, Linghao Song, Hai Li
2018	J	`jnl`	DPatch: Attacking Object Detectors with Adversarial Patches. CoRR Xin Liu, Huanrui Yang, Linghao Song, Hai Li, Yiran Chen
2018	—	`conf`	MAT: A Multi-strength Adversarial Training Method to Mitigate Adversarial Attacks. ISVLSI Chang Song, Hsin-Pai Cheng, Huanrui Yang, Sicheng Li, Chunpeng Wu, Qing Wu, Yiran Chen, Hai Li
2018	A	`conf`	SPN dash: fast detection of adversarial attacks on mobile via sensor pattern noise fingerprinting. ICCAD Kent W. Nixon, Jiachen Mao, Juncheng Shen, Huanrui Yang, Hai (Helen) Li, Yiran Chen
2018	—	`conf`	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 Zhe Yuan, Jinshan Yue, Huanrui Yang, Zhibo Wang, Jinyang Li, Yixiong Yang, Qingwei Guo, Xueqing Li, Meng-Fan Chang, Huazhong Yang, Yongpan Liu
2018	C	`conf`	Stock Price Movement Prediction from Financial News with Deep Learning and Knowledge Graph Embedding. PKAW Yang Liu, Qingguo Zeng, Huanrui Yang, Adrian Carrio