Xing Hu - RankMe

167 papers A* 56A 5C 1Misc 1Journal 94Unranked 10

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	AGON: Automated Design Framework for Customizing Processors From ISA Documents. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. Chongxiao Li, Di Huang, Pengwei Jin, TianYun Ma, Husheng Han, Shuyao Cheng, Yifan Hao, Yongwei Zhao, Guanglin Xu, Zidong Du, Rui Zhang, Xiaqing Li, Yuanbo Wen, Xing Hu, Qi Guo
2026	A*	`conf`	Cambricon-CIM: Enabling Energy-Efficient and Error-Resilient Analog CIM Acceleration via Reformation of Coding Bases. HPCA Hongrui Guo, Tianrui Ma, Zidong Du, Mo Zou, Yifan Hao, Yongwei Zhao, Rui Zhang, Wei Li, Xing Hu, Zhiwei Xu, Qi Guo, Tianshi Chen
2026	A*	`conf`	Cambricon-GS: An Accelerator for 3D Gaussian Splatting Training With Gaussian-Pixel Hybrid Parallelism. HPCA Rui Wen, Zhifei Yue, Tianbo Liu, Xinkai Song, Jin Li, Di Huang, Jiaming Guo, Xing Hu, Zidong Du, Qi Guo, Tianshi Chen
2026	J	`jnl`	CodeV: Empowering LLMs With HDL Generation Through Multilevel Summarization. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. Yang Zhao, Di Huang, Chongxiao Li, Pengwei Jin, Muxin Song, Yinan Xu, Ziyuan Nan, Mingju Gao, TianYun Ma, Lei Qi, Yansong Pan, Zhenxing Zhang, Rui Zhang, Xishan Zhang, Zidong Du, Qi Guo, Xing Hu
2026	A*	`conf`	Efficient Diffusion Planning with Temporal Diffusion. AAAI Jiaming Guo, Rui Zhang, Zerun Li, Yunkai Gao, Shaohui Peng, Siming Lan, Xing Hu, Zidong Du, Xishan Zhang, Ling Li
2026	—	`conf`	FlexMem: High-Parallel Near-Memory Architecture for Flexible Dataflow in Fully Homomorphic Encryption. ASP-DAC Shangyi Shi, Husheng Han, Jianan Mu, Xinyao Zheng, Ling Liang, Hang Lu, Zidong Du, Xiaowei Li, Xing Hu
2026	—	`conf`	Hardwired-Neuron Language Processing Units as General-Purpose Cognitive Substrates. ASPLOS (2) Yang Liu, Yi Chen, Yongwei Zhao, Yifan Hao, Zifu Zheng, Weihao Kong, Zhangmai Li, Dongchen Jiang, Ruiyang Xia, Zhihong Ma, Zisheng Liu, Zhaoyong Wan, Yunqi Lu, Ximing Liu, Hongrui Guo, Zhihao Yang, Zhe Wang, Tianrui Ma, Mo Zou, Rui Zhang, Ling Li, Xing Hu, Zidong Du, Zhiwei Xu, Qi Guo, Tianshi Chen, Yunji Chen
2026	J	`jnl`	LocalV: Exploiting Information Locality for IP-level Verilog Generation. CoRR Han-Qi Lyu, Di Huang, Yaoyu Zhu, Kangcheng Liu, Bohan Dou, Chongxiao Li, Pengwei Jin, Shuyao Cheng, Rui Zhang, Zidong Du, Qi Guo, Xing Hu, Yunji Chen
2026	A*	`conf`	QiMeng-CRUX: Narrowing the Gap Between Natural Language and Verilog via Core Refined Understanding eXpression. AAAI Lei Huang, Rui Zhang, Jiaming Guo, Yang Zhang, Di Huang, Shuyao Cheng, Pengwei Jin, Chongxiao Li, Zidong Du, Xing Hu, Yunji Chen, Qi Guo
2026	J	`jnl`	QiMeng-CodeV-SVA: Training Specialized LLMs for Hardware Assertion Generation via RTL-Grounded Bidirectional Data Synthesis. CoRR Yutong Wu, Chenrui Cao, Pengwei Jin, Di Huang, Rui Zhang, Xishan Zhang, Zidong Du, Qi Guo, Xing Hu
2026	A*	`conf`	Safety Alignment of Large Language Models via Contrasting Safe and Harmful Distributions. AAAI Xiaoyun Zhang, Zhengyue Zhao, Wenxuan Shi, Kaidi Xu, Di Huang, Xing Hu
2026	A*	`conf`	StepFun-Formalizer: Unlocking the Autoformalization Potential of LLMs Through Knowledge-Reasoning Fusion. AAAI Yutong Wu, Di Huang, Ruosi Wan, Yue Peng, Shijie Shang, Chenrui Cao, Lei Qi, Rui Zhang, Xishan Zhang, Zidong Du, Jie Yang, Xing Hu
2026	J	`jnl`	TensorFHE+: Fully Homomorphic Encryption Acceleration Based on Linear Algebra. IEEE Trans. Computers Yintai Sun, Shengyu Fan, Zhenhua Yin, Xinkai Song, Xing Hu, Zidong Du, Qi Guo, Weizhi Xu, Rui Hou, Dan Meng, Song Bian, Mingzhe Zhang
2025	A*	`conf`	Automated Superscalar Processor Design by Learning Data Dependencies. IJCAI Shuyao Cheng, Rui Zhang, Wenkai He, Pengwei Jin, Chongxiao Li, Zidong Du, Xing Hu, Yifan Hao, Guanglin Xu, Yuanbo Wen, Ling Li, Qi Guo, Yunji Chen
2025	A*	`conf`	Cambricon-DG: An Accelerator for Redundant-Free Dynamic Graph Neural Networks Based on Nonlinear Isolation. HPCA Zhifei Yue, Xinkai Song, Tianbo Liu, Xing Hu, Rui Zhang, Zidong Du, Wei Li, Qi Guo, Tianshi Chen
2025	A*	`conf`	Cambricon-SR: An Accelerator for Neural Scene Representation with Sparse Encoding Table. ISCA Tianbo Liu, Xinkai Song, Zhifei Yue, Rui Wen, Xing Hu, Zhuoran Song, Yuanbo Wen, Yifan Hao, Wei Li, Zidong Du, Rui Zhang, Jiaming Guo, Di Huang, Shaohui Peng, Guangzhong Sun, Qi Guo, Tianshi Chen
2025	J	`jnl`	Code Driven Planning with Domain-Adaptive Critic. CoRR Zikang Tian, Shaohui Peng, Du Huang, Jiaming Guo, Ruizhi Chen, Rui Zhang, Xishan Zhang, Yuxuan Guo, Zidong Du, Qi Guo, Ling Li, Yewen Pu, Xing Hu, Yunji Chen
2025	J	`jnl`	CodeV-R1: Reasoning-Enhanced Verilog Generation. CoRR Yaoyu Zhu, Di Huang, Han-Qi Lyu, Xiaoyun Zhang, Chongxiao Li, Wenxuan Shi, Yutong Wu, Jianan Mu, Jinghua Wang, Yang Zhao, Pengwei Jin, Shuyao Cheng, Shengwen Liang, Xishan Zhang, Rui Zhang, Zidong Du, Qi Guo, Xing Hu, Yunji Chen
2025	—	`conf`	DiffZOO: A Purely Query-Based Black-Box Attack for Red-teaming Text-to-Image Generative Model via Zeroth Order Optimization. NAACL (Findings) Pucheng Dang, Xing Hu, Dong Li, Rui Zhang, Qi Guo, Kaidi Xu
2025	J	`jnl`	Efficient Diffusion Planning with Temporal Diffusion. CoRR Jiaming Guo, Rui Zhang, Zerun Li, Yunkai Gao, Shaohui Peng, Siming Lan, Xing Hu, Zidong Du, Xishan Zhang, Ling Li
2025	J	`jnl`	Efficient and Fast High-Performance Library Generation for Deep Learning Accelerators. IEEE Trans. Computers Jun Bi, Yuanbo Wen, Xiaqing Li, Yongwei Zhao, Yuxuan Guo, Enshuai Zhou, Xing Hu, Zidong Du, Ling Li, Huaping Chen, Tianshi Chen, Qi Guo
2025	J	`jnl`	Faver: Boosting LLM-based RTL Generation with Function Abstracted Verifiable Middleware. CoRR Jianan Mu, Mingyu Shi, Yining Wang, Tianmeng Yang, Bin Sun, Xing Hu, Jing Ye, Huawei Li
2025	A*	`conf`	FicGCN: Unveiling the Homomorphic Encryption Efficiency from Irregular Graph Convolutional Networks. ICML Zhaoxuan Kan, Husheng Han, Shangyi Shi, Tenghui Hua, Hang Lu, Xiaowei Li, Jianan Mu, Xing Hu
2025	J	`jnl`	FicGCN: Unveiling the Homomorphic Encryption Efficiency from Irregular Graph Convolutional Networks. CoRR Zhaoxuan Kan, Husheng Han, Shangyi Shi, Tenghui Hua, Hang Lu, Xiaowei Li, Jianan Mu, Xing Hu
2025	J	`jnl`	FlexMem: High-Parallel Near-Memory Architecture for Flexible Dataflow in Fully Homomorphic Encryption. CoRR Shangyi Shi, Husheng Han, Jianan Mu, Xinyao Zheng, Ling Liang, Hang Lu, Zidong Du, Xiaowei Li, Xing Hu, Qi Guo
2025	J	`jnl`	Hardwired-Neurons Language Processing Units as General-Purpose Cognitive Substrates. CoRR Yang Liu, Yi Chen, Yongwei Zhao, Yifan Hao, Zifu Zheng, Weihao Kong, Zhangmai Li, Dongchen Jiang, Ruiyang Xia, Zhihong Ma, Zisheng Liu, Zhaoyong Wan, Yunqi Lu, Ximing Liu, Hongrui Guo, Zhihao Yang, Zhe Wang, Tianrui Ma, Mo Zou, Rui Zhang, Ling Li, Xing Hu, Zidong Du, Zhiwei Xu, Qi Guo, Tianshi Chen, Yunji Chen
2025	J	`jnl`	Harmonia: A Unified Architecture for Efficient Deep Symbolic Regression. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. TianYun Ma, Yuanbo Wen, Xinkai Song, Pengwei Jin, Di Huang, Husheng Han, Ziyuan Nan, Zhongkai Yu, Shaohui Peng, Yongwei Zhao, Huaping Chen, Zidong Du, Xing Hu, Qi Guo
2025	A*	`conf`	InverseCoder: Self-improving Instruction-Tuned Code LLMs with Inverse-Instruct. AAAI Yutong Wu, Di Huang, Wenxuan Shi, Wei Wang, Yewen Pu, Lingzhe Gao, Shihao Liu, Ziyuan Nan, Kaizhao Yuan, Rui Zhang, Xishan Zhang, Zidong Du, Qi Guo, Dawei Yin, Xing Hu, Yunji Chen
2025	A*	`conf`	KARMA: Augmenting Embodied AI Agents with Long-and-Short Term Memory Systems. ICRA Zixuan Wang, Bo Yu, Junzhe Zhao, Wenhao Sun, Sai Hou, Shuai Liang, Xing Hu, Yinhe Han, Yiming Gan
2025	J	`jnl`	MigGPT: Harnessing Large Language Models for Automated Migration of Out-of-Tree Linux Kernel Patches Across Versions. CoRR Pucheng Dang, Di Huang, Dong Li, Kang Chen, Yuanbo Wen, Qi Guo, Xing Hu, Ninghui Sun
2025	J	`jnl`	Morphology generalizable reinforcement learning via multi-level graph features. Neurocomputing Yansong Pan, Rui Zhang, Jiaming Guo, Shaohui Peng, Fan Wu, Kaizhao Yuan, Yunkai Gao, Siming Lan, Ruizhi Chen, Ling Li, Xing Hu, Zidong Du, Zihao Zhang, Xin Zhang, Wei Li, Qi Guo, Yunji Chen
2025	—	`conf`	Mosaic: Exploiting Instruction-Level Parallelism on Deep Learning Accelerators with ASPLOS (2) Jianxing Xu, Yuanbo Wen, Zikang Liu, Ruibai Xu, Tingfeng Ruan, Jun Bi, Rui Zhang, Di Huang, Xinkai Song, Yifan Hao, Xing Hu, Zidong Du, Chongqing Zhao, Jiang Jie, Qi Guo
2025	J	`jnl`	QiMeng-CPU-v2: Automated Superscalar Processor Design by Learning Data Dependencies. CoRR Shuyao Cheng, Rui Zhang, Wenkai He, Pengwei Jin, Chongxiao Li, Zidong Du, Xing Hu, Yifan Hao, Guanglin Xu, Yuanbo Wen, Ling Li, Qi Guo, Yunji Chen
2025	J	`jnl`	QiMeng-CRUX: Narrowing the Gap between Natural Language and Verilog via Core Refined Understanding eXpression. CoRR Lei Huang, Rui Zhang, Jiaming Guo, Yang Zhang, Di Huang, Shuyao Cheng, Pengwei Jin, Chongxiao Li, Zidong Du, Xing Hu, Qi Guo, Yunji Chen
2025	J	`jnl`	QiMeng-SALV: Signal-Aware Learning for Verilog Code Generation. CoRR Yang Zhang, Rui Zhang, Jiaming Guo, Lei Huang, Di Huang, Yunpu Zhao, Shuyao Cheng, Pengwei Jin, Chongxiao Li, Zidong Du, Xing Hu, Qi Guo, Yunji Chen
2025	J	`jnl`	QiMeng: Fully Automated Hardware and Software Design for Processor Chip. CoRR Rui Zhang, Yuanbo Wen, Shuyao Cheng, Di Huang, Shaohui Peng, Jiaming Guo, Pengwei Jin, Jiacheng Zhao, Tianrui Ma, Yaoyu Zhu, Yifan Hao, Yongwei Zhao, Shengwen Liang, Ying Wang, Xing Hu, Zidong Du, Huimin Cui, Ling Li, Qi Guo, Yunji Chen
2025	J	`jnl`	RealBench: Benchmarking Verilog Generation Models with Real-World IP Designs. CoRR Pengwei Jin, Di Huang, Chongxiao Li, Shuyao Cheng, Yang Zhao, Xinyao Zheng, Jiaguo Zhu, Shuyi Xing, Bohan Dou, Rui Zhang, Zidong Du, Qi Guo, Xing Hu
2025	J	`jnl`	Research on stock price forecast of general electric based on mixed CNN-LSTM model. CoRR Xing Hu, Bao Shen, Yiwen Hu, Chen Zhao
2025	J	`jnl`	SaaP: Rearchitect SoC-as-a-Processor to Orchestrate Hardware Heterogeneity. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. Pengwei Jin, Zhe Fan, Yongwei Zhao, Zidong Du, Hongrui Guo, Ziyuan Nan, Yifan Hao, Chongxiao Li, TianYun Ma, Zhenxing Zhang, Xiaqing Li, Wei Li, Xing Hu, Qi Guo, Zhiwei Xu, Tianshi Chen
2025	J	`jnl`	StepFun-Formalizer: Unlocking the Autoformalization Potential of LLMs through Knowledge-Reasoning Fusion. CoRR Yutong Wu, Di Huang, Ruosi Wan, Yue Peng, Shijie Shang, Chenrui Cao, Lei Qi, Rui Zhang, Zidong Du, Jie Yang, Xing Hu
2025	J	`jnl`	VariPar: Variation-Aware Workload Partitioning in Chiplet-Based DNN Accelerators. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. Ximing Liu, Yongwei Zhao, Mo Zou, Yang Liu, Yifan Hao, Xiaqing Li, Rui Zhang, Yuanbo Wen, Xing Hu, Zidong Du, Qi Guo, Tianshi Chen
2024	J	`jnl`	AGON: Automated Design Framework for Customizing Processors from ISA Documents. CoRR Chongxiao Li, Di Huang, Pengwei Jin, TianYun Ma, Husheng Han, Shuyao Cheng, Yifan Hao, Yongwei Zhao, Guanglin Xu, Zidong Du, Rui Zhang, Xiaqing Li, Yuanbo Wen, Yanjun Wu, Chen Zhao, Xing Hu, Qi Guo
2024	J	`jnl`	Adversarial Contrastive Decoding: Boosting Safety Alignment of Large Language Models via Opposite Prompt Optimization. CoRR Zhengyue Zhao, Xiaoyun Zhang, Kaidi Xu, Xing Hu, Rui Zhang, Zidong Du, Qi Guo, Yunji Chen
2024	A*	`conf`	Alchemist: A Unified Accelerator Architecture for Cross-Scheme Fully Homomorphic Encryption. DAC Jianan Mu, Husheng Han, Shangyi Shi, Jing Ye, Zizhen Liu, Shengwen Liang, Meng Li, Mingzhe Zhang, Song Bian, Xing Hu, Huawei Li, Xiaowei Li
2024	J	`jnl`	Assessing and Understanding Creativity in Large Language Models. CoRR Yunpu Zhao, Rui Zhang, Wenyi Li, Di Huang, Jiaming Guo, Shaohui Peng, Yifan Hao, Yuanbo Wen, Xing Hu, Zidong Du, Qi Guo, Ling Li, Yunji Chen
2024	A*	`conf`	Automated CPU Design by Learning from Input-Output Examples. IJCAI Shuyao Cheng, Pengwei Jin, Qi Guo, Zidong Du, Rui Zhang, Xing Hu, Yongwei Zhao, Yifan Hao, Xiangtao Guan, Husheng Han, Zhengyue Zhao, Ximing Liu, Xishan Zhang, Yuejie Chu, Weilong Mao, Tianshi Chen, Yunji Chen
2024	A*	`conf`	Cambricon-C: Efficient 4-Bit Matrix Unit via Primitivization. MICRO Yi Chen, Yongwei Zhao, Yifan Hao, Yuanbo Wen, Yuntao Dai, Xiaqing Li, Yang Liu, Rui Zhang, Mo Zou, Xinkai Song, Xing Hu, Zidong Du, Huaping Chen, Qi Guo, Tianshi Chen
2024	A*	`conf`	Cambricon-D: Full-Network Differential Acceleration for Diffusion Models. ISCA Weihao Kong, Yifan Hao, Qi Guo, Yongwei Zhao, Xinkai Song, Xiaqing Li, Mo Zou, Zidong Du, Rui Zhang, Chang Liu, Yuanbo Wen, Pengwei Jin, Xing Hu, Wei Li, Zhiwei Xu, Tianshi Chen
2024	A*	`conf`	Cambricon-LLM: A Chiplet-Based Hybrid Architecture for On-Device Inference of 70B LLM. MICRO Zhongkai Yu, Shengwen Liang, TianYun Ma, Yunke Cai, Ziyuan Nan, Di Huang, Xinkai Song, Yifan Hao, Jie Zhang, Tian Zhi, Yongwei Zhao, Zidong Du, Xing Hu, Qi Guo, Tianshi Chen
2024	J	`jnl`	Cambricon-LLM: A Chiplet-Based Hybrid Architecture for On-Device Inference of 70B LLM. CoRR Zhongkai Yu, Shengwen Liang, TianYun Ma, Yunke Cai, Ziyuan Nan, Di Huang, Xinkai Song, Yifan Hao, Jie Zhang, Tian Zhi, Yongwei Zhao, Zidong Du, Xing Hu, Qi Guo, Tianshi Chen
2024	A*	`conf`	Cambricon-M: A Fibonacci-Coded Charge-Domain SRAM-Based CIM Accelerator for DNN Inference. MICRO Hongrui Guo, Mo Zou, Yifan Hao, Zidong Du, Erxiang Ren, Yang Liu, Yongwei Zhao, Tianrui Ma, Rui Zhang, Xing Hu, Fei Qiao, Zhiwei Xu, Qi Guo, Tianshi Chen
2024	A*	`conf`	Can Protective Perturbation Safeguard Personal Data from Being Exploited by Stable Diffusion? CVPR Zhengyue Zhao, Jinhao Duan, Kaidi Xu, Chenan Wang, Rui Zhang, Zidong Du, Qi Guo, Xing Hu
2024	J	`jnl`	CodeV: Empowering LLMs for Verilog Generation through Multi-Level Summarization. CoRR Yang Zhao, Di Huang, Chongxiao Li, Pengwei Jin, Ziyuan Nan, TianYun Ma, Lei Qi, Yansong Pan, Zhenxing Zhang, Rui Zhang, Xishan Zhang, Zidong Du, Qi Guo, Xing Hu, Yunji Chen
2024	J	`jnl`	DiffZOO: A Purely Query-Based Black-Box Attack for Red-teaming Text-to-Image Generative Model via Zeroth Order Optimization. CoRR Pucheng Dang, Xing Hu, Dong Li, Rui Zhang, Qi Guo, Kaidi Xu
2024	A*	`conf`	Hypothesis, Verification, and Induction: Grounding Large Language Models with Self-Driven Skill Learning. AAAI Shaohui Peng, Xing Hu, Qi Yi, Rui Zhang, Jiaming Guo, Di Huang, Zikang Tian, Ruizhi Chen, Zidong Du, Qi Guo, Yunji Chen, Ling Li
2024	J	`jnl`	InputSnatch: Stealing Input in LLM Services via Timing Side-Channel Attacks. CoRR Xinyao Zheng, Husheng Han, Shangyi Shi, Qiyan Fang, Zidong Du, Xing Hu, Qi Guo
2024	J	`jnl`	InverseCoder: Unleashing the Power of Instruction-Tuned Code LLMs with Inverse-Instruct. CoRR Yutong Wu, Di Huang, Wenxuan Shi, Wei Wang, Lingzhe Gao, Shihao Liu, Ziyuan Nan, Kaizhao Yuan, Rui Zhang, Xishan Zhang, Zidong Du, Qi Guo, Yewen Pu, Dawei Yin, Xing Hu, Yunji Chen
2024	J	`jnl`	KARMA: Augmenting Embodied AI Agents with Long-and-short Term Memory Systems. CoRR Zixuan Wang, Bo Yu, Junzhe Zhao, Wenhao Sun, Sai Hou, Shuai Liang, Xing Hu, Yinhe Han, Yiming Gan
2024	J	`jnl`	Luban: Building Open-Ended Creative Agents via Autonomous Embodied Verification. CoRR Yuxuan Guo, Shaohui Peng, Jiaming Guo, Di Huang, Xishan Zhang, Rui Zhang, Yifan Hao, Ling Li, Zikang Tian, Mingju Gao, Yutai Li, Yiming Gan, Shuai Liang, Zihao Zhang, Zidong Du, Qi Guo, Xing Hu, Yunji Chen
2024	A*	`conf`	Prompt-based Visual Alignment for Zero-shot Policy Transfer. ICML Haihan Gao, Rui Zhang, Qi Yi, Hantao Yao, Haochen Li, Jiaming Guo, Shaohui Peng, Yunkai Gao, Qicheng Wang, Xing Hu, Yuanbo Wen, Zihao Zhang, Zidong Du, Ling Li, Qi Guo, Yunji Chen
2024	J	`jnl`	Prompt-based Visual Alignment for Zero-shot Policy Transfer. CoRR Haihan Gao, Rui Zhang, Qi Yi, Hantao Yao, Haochen Li, Jiaming Guo, Shaohui Peng, Yunkai Gao, Qicheng Wang, Xing Hu, Yuanbo Wen, Zihao Zhang, Zidong Du, Ling Li, Qi Guo, Yunji Chen
2024	J	`jnl`	Real-Time Robust Video Object Detection System Against Physical-World Adversarial Attacks. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. Husheng Han, Xing Hu, Yifan Hao, Kaidi Xu, Pucheng Dang, Ying Wang, Yongwei Zhao, Zidong Du, Qi Guo, Yanzhi Wang, Xishan Zhang, Tianshi Chen
2024	A*	`conf`	Revisiting Automatic Pipelining: Gate-level Forwarding and Speculation. DAC Shuyao Cheng, Chongxiao Li, Zidong Du, Rui Zhang, Xing Hu, Xiaqing Li, Guanglin Xu, Yuanbo Wen, Qi Guo
2024	—	`conf`	TensorTEE: Unifying Heterogeneous TEE Granularity for Efficient Secure Collaborative Tensor Computing. ASPLOS (4) Husheng Han, Xinyao Zheng, Yuanbo Wen, Yifan Hao, Erhu Feng, Ling Liang, Jianan Mu, Xiaqing Li, TianYun Ma, Pengwei Jin, Xinkai Song, Zidong Du, Qi Guo, Xing Hu
2024	J	`jnl`	TensorTEE: Unifying Heterogeneous TEE Granularity for Efficient Secure Collaborative Tensor Computing. CoRR Husheng Han, Xinyao Zheng, Yuanbo Wen, Yifan Hao, Erhu Feng, Ling Liang, Jianan Mu, Xiaqing Li, TianYun Ma, Pengwei Jin, Xinkai Song, Zidong Du, Qi Guo, Xing Hu
2024	J	`jnl`	World-Consistent Data Generation for Vision-and-Language Navigation. CoRR Yu Zhong, Rui Zhang, Zihao Zhang, Shuo Wang, Chuan Fang, Xishan Zhang, Jiaming Guo, Shaohui Peng, Di Huang, Yanyang Yan, Xing Hu, Ping Tan, Qi Guo
2023	J	`jnl`	ANPL: Compiling Natural Programs with Interactive Decomposition. CoRR Di Huang, Ziyuan Nan, Xing Hu, Pengwei Jin, Shaohui Peng, Yuanbo Wen, Rui Zhang, Zidong Du, Qi Guo, Yewen Pu, Yunji Chen
2023	A*	`conf`	ANPL: Towards Natural Programming with Interactive Decomposition. NeurIPS Di Huang, Ziyuan Nan, Xing Hu, Pengwei Jin, Shaohui Peng, Yuanbo Wen, Rui Zhang, Zidong Du, Qi Guo, Yewen Pu, Yunji Chen
2023	A*	`conf`	BALTO: fast tensor program optimization with diversity-based active learning. ICLR Jun Bi, Xiaqing Li, Qi Guo, Rui Zhang, Yuanbo Wen, Xing Hu, Zidong Du, Xinkai Song, Yifan Hao, Yunji Chen
2023	A*	`conf`	Cambricon-R: A Fully Fused Accelerator for Real-Time Learning of Neural Scene Representation. MICRO Xinkai Song, Yuanbo Wen, Xing Hu, Tianbo Liu, Haoxuan Zhou, Husheng Han, Tian Zhi, Zidong Du, Wei Li, Rui Zhang, Chen Zhang, Lin Gao, Qi Guo, Tianshi Chen
2023	J	`jnl`	Can Protective Perturbation Safeguard Personal Data from Being Exploited by Stable Diffusion? CoRR Zhengyue Zhao, Jinhao Duan, Kaidi Xu, Chenan Wang, Rui Zhang, Zidong Du, Qi Guo, Xing Hu
2023	J	`jnl`	Comprehensive SNN Compression Using ADMM Optimization and Activity Regularization. IEEE Trans. Neural Networks Learn. Syst. Lei Deng, Yujie Wu, Yifan Hu, Ling Liang, Guoqi Li, Xing Hu, Yufei Ding, Peng Li, Yuan Xie
2023	A*	`conf`	Conceptual Reinforcement Learning for Language-Conditioned Tasks. AAAI Shaohui Peng, Xing Hu, Rui Zhang, Jiaming Guo, Qi Yi, Ruizhi Chen, Zidong Du, Ling Li, Qi Guo, Yunji Chen
2023	J	`jnl`	Conceptual Reinforcement Learning for Language-Conditioned Tasks. CoRR Shaohui Peng, Xing Hu, Rui Zhang, Jiaming Guo, Qi Yi, Ruizhi Chen, Zidong Du, Ling Li, Qi Guo, Yunji Chen
2023	A*	`conf`	Context Shift Reduction for Offline Meta-Reinforcement Learning. NeurIPS Yunkai Gao, Rui Zhang, Jiaming Guo, Fan Wu, Qi Yi, Shaohui Peng, Siming Lan, Ruizhi Chen, Zidong Du, Xing Hu, Qi Guo, Ling Li, Yunji Chen
2023	J	`jnl`	Context Shift Reduction for Offline Meta-Reinforcement Learning. CoRR Yunkai Gao, Rui Zhang, Jiaming Guo, Fan Wu, Qi Yi, Shaohui Peng, Siming Lan, Ruizhi Chen, Zidong Du, Xing Hu, Qi Guo, Ling Li, Yunji Chen
2023	A*	`conf`	Contrastive Modules with Temporal Attention for Multi-Task Reinforcement Learning. NeurIPS Siming Lan, Rui Zhang, Qi Yi, Jiaming Guo, Shaohui Peng, Yunkai Gao, Fan Wu, Ruizhi Chen, Zidong Du, Xing Hu, Xishan Zhang, Ling Li, Yunji Chen
2023	J	`jnl`	Contrastive Modules with Temporal Attention for Multi-Task Reinforcement Learning. CoRR Siming Lan, Rui Zhang, Qi Yi, Jiaming Guo, Shaohui Peng, Yunkai Gao, Fan Wu, Ruizhi Chen, Zidong Du, Xing Hu, Xishan Zhang, Ling Li, Yunji Chen
2023	A*	`conf`	Decompose a Task into Generalizable Subtasks in Multi-Agent Reinforcement Learning. NeurIPS Zikang Tian, Ruizhi Chen, Xing Hu, Ling Li, Rui Zhang, Fan Wu, Shaohui Peng, Jiaming Guo, Zidong Du, Qi Guo, Yunji Chen
2023	J	`jnl`	DyPipe: A Holistic Approach to Accelerating Dynamic Neural Networks with Dynamic Pipelining. J. Comput. Sci. Technol. Yimin Zhuang, Xing Hu, Xiaobing Chen, Tian Zhi
2023	A*	`conf`	Efficient Symbolic Policy Learning with Differentiable Symbolic Expression. NeurIPS Jiaming Guo, Rui Zhang, Shaohui Peng, Qi Yi, Xing Hu, Ruizhi Chen, Zidong Du, Xishan Zhang, Ling Li, Qi Guo, Yunji Chen
2023	J	`jnl`	Efficient Symbolic Policy Learning with Differentiable Symbolic Expression. CoRR Jiaming Guo, Rui Zhang, Shaohui Peng, Qi Yi, Xing Hu, Ruizhi Chen, Zidong Du, Xishan Zhang, Ling Li, Qi Guo, Yunji Chen
2023	J	`jnl`	Exploring Adversarial Attack in Spiking Neural Networks With Spike-Compatible Gradient. IEEE Trans. Neural Networks Learn. Syst. Ling Liang, Xing Hu, Lei Deng, Yujie Wu, Guoqi Li, Yufei Ding, Peng Li, Yuan Xie
2023	J	`jnl`	Flew Over Learning Trap: Learn Unlearnable Samples by Progressive Staged Training. CoRR Pucheng Dang, Xing Hu, Kaidi Xu, Jinhao Duan, Di Huang, Husheng Han, Rui Zhang, Zidong Du, Qi Guo, Yunji Chen
2023	—	`conf`	Heron: Automatically Constrained High-Performance Library Generation for Deep Learning Accelerators. ASPLOS (3) Jun Bi, Qi Guo, Xiaqing Li, Yongwei Zhao, Yuanbo Wen, Yuxuan Guo, Enshuai Zhou, Xing Hu, Zidong Du, Ling Li, Huaping Chen, Tianshi Chen
2023	J	`jnl`	Learning controllable elements oriented representations for reinforcement learning. Neurocomputing Qi Yi, Rui Zhang, Shaohui Peng, Jiaming Guo, Xing Hu, Zidong Du, Qi Guo, Ruizhi Chen, Ling Li, Yunji Chen
2023	A*	`conf`	Online Prototype Alignment for Few-shot Policy Transfer. ICML Qi Yi, Rui Zhang, Shaohui Peng, Jiaming Guo, Yunkai Gao, Kaizhao Yuan, Ruizhi Chen, Siming Lan, Xing Hu, Zidong Du, Xishan Zhang, Qi Guo, Yunji Chen
2023	J	`jnl`	Online Prototype Alignment for Few-shot Policy Transfer. CoRR Qi Yi, Rui Zhang, Shaohui Peng, Jiaming Guo, Yunkai Gao, Kaizhao Yuan, Ruizhi Chen, Siming Lan, Xing Hu, Zidong Du, Xishan Zhang, Qi Guo, Yunji Chen
2023	A*	`conf`	Online Symbolic Regression with Informative Query. AAAI Pengwei Jin, Di Huang, Rui Zhang, Xing Hu, Ziyuan Nan, Zidong Du, Qi Guo, Yunji Chen
2023	J	`jnl`	Online Symbolic Regression with Informative Query. CoRR Pengwei Jin, Di Huang, Rui Zhang, Xing Hu, Ziyuan Nan, Zidong Du, Qi Guo, Yunji Chen
2023	J	`jnl`	Pushing the Limits of Machine Design: Automated CPU Design with AI. CoRR Shuyao Cheng, Pengwei Jin, Qi Guo, Zidong Du, Rui Zhang, Yunhao Tian, Xing Hu, Yongwei Zhao, Yifan Hao, Xiangtao Guan, Husheng Han, Zhengyue Zhao, Ximing Liu, Ling Li, Xishan Zhang, Yuejie Chu, Weilong Mao, Tianshi Chen, Yunji Chen
2023	J	`jnl`	Self-driven Grounding: Large Language Model Agents with Automatical Language-aligned Skill Learning. CoRR Shaohui Peng, Xing Hu, Qi Yi, Rui Zhang, Jiaming Guo, Di Huang, Zikang Tian, Ruizhi Chen, Zidong Du, Qi Guo, Yunji Chen, Ling Li
2023	J	`jnl`	Ultra-low Precision Multiplication-free Training for Deep Neural Networks. CoRR Chang Liu, Rui Zhang, Xishan Zhang, Yifan Hao, Zidong Du, Xing Hu, Ling Li, Qi Guo
2023	J	`jnl`	Unlearnable Examples for Diffusion Models: Protect Data from Unauthorized Exploitation. CoRR Zhengyue Zhao, Jinhao Duan, Xing Hu, Kaidi Xu, Chenan Wang, Rui Zhang, Zidong Du, Qi Guo, Yunji Chen
2022	J	`jnl`	A Systematic View of Model Leakage Risks in Deep Neural Network Systems. IEEE Trans. Computers Xing Hu, Ling Liang, Xiaobing Chen, Lei Deng, Yu Ji, Yufei Ding, Zidong Du, Qi Guo, Timothy Sherwood, Yuan Xie
2022	A*	`conf`	BabelTower: Learning to Auto-parallelized Program Translation. ICML Yuanbo Wen, Qi Guo, Qiang Fu, Xiaqing Li, Jianxing Xu, Yanlin Tang, Yongwei Zhao, Xing Hu, Zidong Du, Ling Li, Chao Wang, Xuehai Zhou, Yunji Chen
2022	J	`jnl`	Cambricon-G: A Polyvalent Energy-Efficient Accelerator for Dynamic Graph Neural Networks. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. Xinkai Song, Tian Zhi, Zhe Fan, Zhenxing Zhang, Xi Zeng, Wei Li, Xing Hu, Zidong Du, Qi Guo, Yunji Chen
2022	A*	`conf`	Cambricon-P: A Bitflow Architecture for Arbitrary Precision Computing. MICRO Yifan Hao, Yongwei Zhao, Chenxiao Liu, Zidong Du, Shuyao Cheng, Xiaqing Li, Xing Hu, Qi Guo, Zhiwei Xu, Tianshi Chen
2022	A*	`conf`	Causality-driven Hierarchical Structure Discovery for Reinforcement Learning. NeurIPS Shaohui Peng, Xing Hu, Rui Zhang, Ke Tang, Jiaming Guo, Qi Yi, Ruizhi Chen, Xishan Zhang, Zidong Du, Ling Li, Qi Guo, Yunji Chen
2022	J	`jnl`	Causality-driven Hierarchical Structure Discovery for Reinforcement Learning. CoRR Shaohui Peng, Xing Hu, Rui Zhang, Ke Tang, Jiaming Guo, Qi Yi, Ruizhi Chen, Xishan Zhang, Zidong Du, Ling Li, Qi Guo, Yunji Chen
2022	J	`jnl`	Demystifying Arch-hints for Model Extraction: An Attack in Unified Memory System. CoRR Zhendong Wang, Xiaoming Zeng, Xulong Tang, Danfeng Zhang, Xing Hu, Yang Hu
2022	J	`jnl`	Enabling One-Size-Fits-All Compilation Optimization for Inference Across Machine Learning Computers. IEEE Trans. Computers Yuanbo Wen, Qi Guo, Zidong Du, Jianxing Xu, Zhenxing Zhang, Xing Hu, Wei Li, Rui Zhang, Chao Wang, Xuehai Zhou, Tianshi Chen
2022	A*	`conf`	Neural Program Synthesis with Query. ICLR Di Huang, Rui Zhang, Xing Hu, Xishan Zhang, Pengwei Jin, Nan Li, Zidong Du, Qi Guo, Yunji Chen
2022	J	`jnl`	Neural Program Synthesis with Query. CoRR Di Huang, Rui Zhang, Xing Hu, Xishan Zhang, Pengwei Jin, Nan Li, Zidong Du, Qi Guo, Yunji Chen
2022	A*	`conf`	Object-Category Aware Reinforcement Learning. NeurIPS Qi Yi, Rui Zhang, Shaohui Peng, Jiaming Guo, Xing Hu, Zidong Du, Xishan Zhang, Qi Guo, Yunji Chen
2022	J	`jnl`	Object-Category Aware Reinforcement Learning. CoRR Qi Yi, Rui Zhang, Shaohui Peng, Jiaming Guo, Xing Hu, Zidong Du, Xishan Zhang, Qi Guo, Yunji Chen
2022	J	`jnl`	Real-Time Robust Video Object Detection System Against Physical-World Adversarial Attacks. CoRR Husheng Han, Xing Hu, Kaidi Xu, Pucheng Dang, Ying Wang, Yongwei Zhao, Zidong Du, Qi Guo, Yanzhi Yang, Tianshi Chen
2022	J	`jnl`	Rubik: A Hierarchical Architecture for Efficient Graph Neural Network Training. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. Xiaobing Chen, Yuke Wang, Xinfeng Xie, Xing Hu, Abanti Basak, Ling Liang, Mingyu Yan, Lei Deng, Yufei Ding, Zidong Du, Yuan Xie
2022	A*	`conf`	Toward Robust Spiking Neural Network Against Adversarial Perturbation. NeurIPS Ling Liang, Kaidi Xu, Xing Hu, Lei Deng, Yuan Xie
2022	J	`jnl`	Toward Robust Spiking Neural Network Against Adversarial Perturbation. CoRR Ling Liang, Kaidi Xu, Xing Hu, Lei Deng, Yuan Xie
2021	J	`jnl`	A Novel, Efficient Implementation of a Local Binary Convolutional Neural Network. IEEE Trans. Circuits Syst. II Express Briefs Ing-Chao Lin, Chi-Huan Tang, Chi-Ting Ni, Xing Hu, Yu-Tong Shen, Pei-Yin Chen, Yuan Xie
2021	A*	`conf`	Cambricon-Q: A Hybrid Architecture for Efficient Training. ISCA Yongwei Zhao, Chang Liu, Zidong Du, Qi Guo, Xing Hu, Yimin Zhuang, Zhenxing Zhang, Xinkai Song, Wei Li, Xishan Zhang, Ling Li, Zhiwei Xu, Tianshi Chen
2021	J	`jnl`	Effective and Efficient Batch Normalization Using a Few Uncorrelated Data for Statistics Estimation. IEEE Trans. Neural Networks Learn. Syst. Zhaodong Chen, Lei Deng, Guoqi Li, Jiawei Sun, Xing Hu, Ling Liang, Yufei Ding, Yuan Xie
2021	J	`jnl`	Fast Search of the Optimal Contraction Sequence in Tensor Networks. IEEE J. Sel. Top. Signal Process. Ling Liang, Jianyu Xu, Lei Deng, Mingyu Yan, Xing Hu, Zheng Zhang, Guoqi Li, Yuan Xie
2021	A*	`conf`	Hindsight Value Function for Variance Reduction in Stochastic Dynamic Environment. IJCAI Jiaming Guo, Rui Zhang, Xishan Zhang, Shaohui Peng, Qi Yi, Zidong Du, Xing Hu, Qi Guo, Yunji Chen
2021	J	`jnl`	Hindsight Value Function for Variance Reduction in Stochastic Dynamic Environment. CoRR Jiaming Guo, Rui Zhang, Xishan Zhang, Shaohui Peng, Qi Yi, Zidong Du, Xing Hu, Qi Guo, Yunji Chen
2021	J	`jnl`	Practical Attacks on Deep Neural Networks by Memory Trojaning. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. Xing Hu, Yang Zhao, Lei Deng, Ling Liang, Pengfei Zuo, Jing Ye, Yingyan Lin, Yuan Xie
2021	J	`jnl`	Rescuing RRAM-Based Computing From Static and Dynamic Faults. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. Jilan Lin, Cheng-Da Wen, Xing Hu, Tianqi Tang, Ing-Chao Lin, Yu Wang, Yuan Xie
2021	A*	`conf`	SEALing Neural Network Models in Encrypted Deep Learning Accelerators. DAC Pengfei Zuo, Yu Hua, Ling Liang, Xinfeng Xie, Xing Hu, Yuan Xie
2021	A*	`conf`	ScaleCert: Scalable Certified Defense against Adversarial Patches with Sparse Superficial Layers. NeurIPS Husheng Han, Kaidi Xu, Xing Hu, Xiaobing Chen, Ling Liang, Zidong Du, Qi Guo, Yanzhi Wang, Yunji Chen
2021	J	`jnl`	ScaleCert: Scalable Certified Defense against Adversarial Patches with Sparse Superficial Layers. CoRR Husheng Han, Kaidi Xu, Xing Hu, Xiaobing Chen, Ling Liang, Zidong Du, Qi Guo, Yanzhi Wang, Yunji Chen
2021	A*	`conf`	SpaceA: Sparse Matrix Vector Multiplication on Processing-in-Memory Accelerator. HPCA Xinfeng Xie, Zheng Liang, Peng Gu, Abanti Basak, Lei Deng, Ling Liang, Xing Hu, Yuan Xie
2020	A*	`conf`	DUET: Boosting Deep Neural Network Efficiency on Dual-Module Architecture. MICRO Liu Liu, Zheng Qu, Lei Deng, Fengbin Tu, Shuangchen Li, Xing Hu, Zhenyu Gu, Yufei Ding, Yuan Xie
2020	A*	`conf`	DeepSniffer: A DNN Model Extraction Framework Based on Learning Architectural Hints. ASPLOS Xing Hu, Ling Liang, Shuangchen Li, Lei Deng, Pengfei Zuo, Yu Ji, Xinfeng Xie, Yufei Ding, Chang Liu, Timothy Sherwood, Yuan Xie
2020	J	`jnl`	Exploring Adversarial Attack in Spiking Neural Networks with Spike-Compatible Gradient. CoRR Ling Liang, Xing Hu, Lei Deng, Yujie Wu, Guoqi Li, Yufei Ding, Peng Li, Yuan Xie
2020	A*	`conf`	HyGCN: A GCN Accelerator with Hybrid Architecture. HPCA Mingyu Yan, Lei Deng, Xing Hu, Ling Liang, Yujing Feng, Xiaochun Ye, Zhimin Zhang, Dongrui Fan, Yuan Xie
2020	J	`jnl`	HyGCN: A GCN Accelerator with Hybrid Architecture. CoRR Mingyu Yan, Lei Deng, Xing Hu, Ling Liang, Yujing Feng, Xiaochun Ye, Zhimin Zhang, Dongrui Fan, Yuan Xie
2020	J	`jnl`	NNBench-X: A Benchmarking Methodology for Neural Network Accelerator Designs. ACM Trans. Archit. Code Optim. Xinfeng Xie, Xing Hu, Peng Gu, Shuangchen Li, Yu Ji, Yuan Xie
2020	J	`jnl`	Rethinking the performance comparison between SNNS and ANNS. Neural Networks Lei Deng, Yujie Wu, Xing Hu, Ling Liang, Yufei Ding, Guoqi Li, Guangshe Zhao, Peng Li, Yuan Xie
2020	J	`jnl`	Rubik: A Hierarchical Architecture for Efficient Graph Learning. CoRR Xiaobing Chen, Yuke Wang, Xinfeng Xie, Xing Hu, Abanti Basak, Ling Liang, Mingyu Yan, Lei Deng, Yufei Ding, Zidong Du, Yunji Chen, Yuan Xie
2020	J	`jnl`	SEALing Neural Network Models in Secure Deep Learning Accelerators. CoRR Pengfei Zuo, Yu Hua, Ling Liang, Xinfeng Xie, Xing Hu, Yuan Xie
2020	J	`jnl`	SemiMap: A Semi-Folded Convolution Mapping for Speed-Overhead Balance on Crossbars. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. Lei Deng, Yuan Xie, Ling Liang, Guanrui Wang, Liang Chang, Xing Hu, Xin Ma, Liu Liu, Jing Pei, Guoqi Li
2020	Misc	`conf`	Sequence Triggered Hardware Trojan in Neural Network Accelerator. VTS Zizhen Liu, Jing Ye, Xing Hu, Huawei Li, Xiaowei Li, Yu Hu
2020	J	`jnl`	Tianjic: A Unified and Scalable Chip Bridging Spike-Based and Continuous Neural Computation. IEEE J. Solid State Circuits Lei Deng, Guanrui Wang, Guoqi Li, Shuangchen Li, Ling Liang, Maohua Zhu, Yujie Wu, Zheyu Yang, Zhe Zou, Jing Pei, Zhenzhi Wu, Xing Hu, Yufei Ding, Wei He, Yuan Xie, Luping Shi
2019	A*	`conf`	Alleviating Irregularity in Graph Analytics Acceleration: a Hardware/Software Co-Design Approach. MICRO Mingyu Yan, Xing Hu, Shuangchen Li, Abanti Basak, Han Li, Xin Ma, Itir Akgun, Yujing Feng, Peng Gu, Lei Deng, Xiaochun Ye, Zhimin Zhang, Dongrui Fan, Yuan Xie
2019	A*	`conf`	Analysis and Optimization of the Memory Hierarchy for Graph Processing Workloads. HPCA Abanti Basak, Shuangchen Li, Xing Hu, Sang Min Oh, Xinfeng Xie, Li Zhao, Xiaowei Jiang, Yuan Xie
2019	A	`conf`	Balancing Memory Accesses for Energy-Efficient Graph Analytics Accelerators. ISLPED Mingyu Yan, Xing Hu, Shuangchen Li, Itir Akgun, Han Li, Xin Ma, Lei Deng, Xiaochun Ye, Zhimin Zhang, Dongrui Fan, Yuan Xie
2019	—	`conf`	CNNWire: Boosting Convolutional Neural Network with Winograd on ReRAM based Accelerators. ACM Great Lakes Symposium on VLSI Jilan Lin, Shuangchen Li, Xing Hu, Lei Deng, Yuan Xie
2019	J	`jnl`	Comprehensive SNN Compression Using ADMM Optimization and Activity Regularization. CoRR Lei Deng, Yujie Wu, Yifan Hu, Ling Liang, Guoqi Li, Xing Hu, Yufei Ding, Peng Li, Yuan Xie
2019	—	`conf`	Dynamic Sparse Graph for Efficient Deep Learning. ICLR (Poster) Liu Liu, Lei Deng, Xing Hu, Maohua Zhu, Guoqi Li, Yufei Ding, Yuan Xie
2019	A*	`conf`	FPSA: A Full System Stack Solution for Reconfigurable ReRAM-based NN Accelerator Architecture. ASPLOS Yu Ji, Youyang Zhang, Xinfeng Xie, Shuangchen Li, Peiqi Wang, Xing Hu, Youhui Zhang, Yuan Xie
2019	J	`jnl`	FPSA: A Full System Stack Solution for Reconfigurable ReRAM-based NN Accelerator Architecture. CoRR Yu Ji, Youyang Zhang, Xinfeng Xie, Shuangchen Li, Peiqi Wang, Xing Hu, Youhui Zhang, Yuan Xie
2019	A*	`conf`	MEDAL: Scalable DIMM based Near Data Processing Accelerator for DNA Seeding Algorithm. MICRO Wenqin Huangfu, Xueqi Li, Shuangchen Li, Xing Hu, Peng Gu, Yuan Xie
2019	A	`conf`	Memory Trojan Attack on Neural Network Accelerators. DATE Yang Zhao, Xing Hu, Shuangchen Li, Jing Ye, Lei Deng, Yu Ji, Jianyu Xu, Dong Wu, Yuan Xie
2019	A*	`conf`	Memory-Bound Proof-of-Work Acceleration for Blockchain Applications. DAC Kun Wu, Guohao Dai, Xing Hu, Shuangchen Li, Xinfeng Xie, Yu Wang, Yuan Xie
2019	—	`conf`	NNBench-X: A Benchmarking Methodology for Neural Network Accelerator Designs. EMC2@HPCA/CVPR/ISCA Xinfeng Xie, Xing Hu, Peng Gu, Shuangchen Li, Yu Ji, Yuan Xie
2019	J	`jnl`	NNBench-X: Benchmarking and Understanding Neural Network Workloads for Accelerator Designs. IEEE Comput. Archit. Lett. Xinfeng Xie, Xing Hu, Peng Gu, Shuangchen Li, Yu Ji, Yuan Xie
2019	A	`conf`	Near-Data Acceleration of Privacy-Preserving Biomarker Search with 3D-Stacked Memory. DATE Alvin Oliver Glova, Itir Akgun, Shuangchen Li, Xing Hu, Yuan Xie
2019	J	`jnl`	Neural Network Model Extraction Attacks in Edge Devices by Hearing Architectural Hints. CoRR Xing Hu, Ling Liang, Lei Deng, Shuangchen Li, Xinfeng Xie, Yu Ji, Yufei Ding, Chang Liu, Timothy Sherwood, Yuan Xie
2019	J	`jnl`	Programmable Neural Network Trojan for Pre-Trained Feature Extractor. CoRR Yu Ji, Zixin Liu, Xing Hu, Peiqi Wang, Youhui Zhang
2019	C	`conf`	When Deep Learning Meets the Edge: Auto-Masking Deep Neural Networks for Efficient Machine Learning on Edge Devices. ICCD Ning Lin, Hang Lu, Xing Hu, Jingliang Gao, Mingzhe Zhang, Xiaowei Li
2018	A*	`conf`	An automated approach to estimating code coverage measures via execution logs. ASE Boyuan Chen, Jian Song, Peng Xu, Xing Hu, Zhen Ming (Jack) Jiang
2018	J	`jnl`	Batch Normalization Sampling. CoRR Zhaodong Chen, Lei Deng, Guoqi Li, Jiawei Sun, Xing Hu, Xin Ma, Yuan Xie
2018	J	`jnl`	Crossbar-Aware Neural Network Pruning. IEEE Access Ling Liang, Lei Deng, Yueling Zeng, Xing Hu, Yu Ji, Xin Ma, Guoqi Li, Yuan Xie
2018	J	`jnl`	Crossbar-aware neural network pruning. CoRR Ling Liang, Lei Deng, Yueling Zeng, Xing Hu, Yu Ji, Xin Ma, Guoqi Li, Yuan Xie
2018	J	`jnl`	Die Stacking Is Happening. IEEE Micro Xing Hu, Dylan C. Stow, Yuan Xie
2018	J	`jnl`	Dynamic Sparse Graph for Efficient Deep Learning. CoRR Liu Liu, Lei Deng, Xing Hu, Maohua Zhu, Guoqi Li, Yufei Ding, Yuan Xie
2018	J	`jnl`	Exploring Core and Cache Hierarchy Bottlenecks in Graph Processing Workloads. IEEE Comput. Archit. Lett. Abanti Basak, Xing Hu, Shuangchen Li, Sang Min Oh, Yuan Xie
2018	A*	`conf`	Persistence Parallelism Optimization: A Holistic Approach from Memory Bus to RDMA Network. MICRO Xing Hu, Matheus Ogleari, Jishen Zhao, Shuangchen Li, Abanti Basak, Yuan Xie
2018	A*	`conf`	RADAR: a 3D-reRAM based DNA alignment accelerator architecture. DAC Wenqin Huangfu, Shuangchen Li, Xing Hu, Yuan Xie
2018	A*	`conf`	SCOPE: A Stochastic Computing Engine for DRAM-Based In-Situ Accelerator. MICRO Shuangchen Li, Alvin Oliver Glova, Xing Hu, Peng Gu, Dimin Niu, Krishna T. Malladi, Hongzhong Zheng, Bob Brennan, Yuan Xie
2016	J	`jnl`	TSocket: Thermal Sustainable Power Budgeting. ACM Trans. Design Autom. Electr. Syst. Guoqing Chen, Yi Xu, Xing Hu, Xiangyang Guo, Jun Ma, Yu Hu, Yuan Xie
2014	J	`jnl`	Orchestrator: Guarding Against Voltage Emergencies in Multithreaded Applications. IEEE Trans. Very Large Scale Integr. Syst. Xing Hu, Guihai Yan, Yu Hu, Xiaowei Li
2014	—	`conf`	SwimmingLane: A composite approach to mitigate voltage droop effects in 3D power delivery network. ASP-DAC Xing Hu, Yi Xu, Yu Hu, Yuan Xie
2014	A*	`conf`	Thermal-Sustainable Power Budgeting for Dynamic Threading. DAC Xing Hu, Yi Xu, Jun Ma, Guoqing Chen, Yu Hu, Yuan Xie
2013	A	`conf`	Orchestrator: a low-cost solution to reduce voltage emergencies for multi-threaded applications. DATE Xing Hu, Guihai Yan, Yu Hu, Xiaowei Li
2011	A	`conf`	A cost-effective substantial-impact-filter based method to tolerate voltage emergencies. DATE Songjun Pan, Yu Hu, Xing Hu, Xiaowei Li