Xing Hu
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
118
Venues
36
Active years
2011–2026
Best venue rank
A*
Where they publish
- A*ICSE15 papers
- A*AAAI10 papers
- A*MICRO10 papers
- A*ASPLOS6 papers
- A*HPCA6 papers
- A*ICML6 papers
- A*DAC6 papers
- ADATE5 papers
- A*ISCA5 papers
- A*ICLR5 papers
- AISSTA5 papers
- A*ACL4 papers
- A*IJCAI4 papers
- CAPSEC3 papers
- A*CVPR3 papers
- BASPDAC2 papers
- A*ICRA2 papers
- AMSR2 papers
- A*PODC2 papers
- A*EMNLP1 paper
- ANAACL1 paper
- ASANER1 paper
- CISCC1 paper
- MulticonferenceICASSP1 paper
- BSMC1 paper
- CHPCC1 paper
- BICONIP1 paper
- NationalVTS1 paper
- BCOMPSAC1 paper
- CICCD1 paper
- AISLPED1 paper
- BOPODIS1 paper
- CIECON1 paper
- CISPDC1 paper
- CCIDM1 paper
- CCloudCom1 paper
Papers
118 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | AAAI | Efficient Diffusion Planning with Temporal Diffusion. | Jiaming Guo, Rui Zhang, Zerun Li, Yunkai Gao, Shaohui Peng, Siming Lan, Xing Hu, Zidong Du, Xishan Zhang, Ling Li |
| 2026 | AAAI | QiMeng-CRUX: Narrowing the Gap Between Natural Language and Verilog via Core Refined Understanding eXpression. | 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 | AAAI | StepFun-Formalizer: Unlocking the Autoformalization Potential of LLMs Through Knowledge-Reasoning Fusion. | 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 | AAAI | VAEVQ: Enhancing Discrete Visual Tokenization Through Variational Modeling. | Sicheng Yang, Xing Hu, Qiang Wu, Dawei Yang |
| 2026 | AAAI | FQ-PETR: Fully Quantized Position Embedding Transformation for Multi-View 3D Object Detection. | Jiangyong Yu, Changyong Shu, Sifan Zhou, Zichen Yu, Xing Hu, Dawei Yang |
| 2026 | AAAI | Safety Alignment of Large Language Models via Contrasting Safe and Harmful Distributions. | Xiaoyun Zhang, Zhengyue Zhao, Wenxuan Shi, Kaidi Xu, Di Huang, Xing Hu |
| 2026 | ACL | SecureVibeBench: Benchmarking Secure Vibe Coding of AI Agents via Reconstructing Vulnerability-Introducing Scenarios. | Junkai Chen, Huihui Huang, Yunbo Lyu, Junwen An, Jieke Shi, Chengran Yang, Ting Zhang, Haoye Tian, Yikun Li, Zhenhao Li, Xin Zhou, Xing Hu, David Lo |
| 2026 | ACL | QiMeng-PRepair: Precise Code Repair via Edit-Aware Reward Optimization. | Changxin Ke, Rui Zhang, Jiaming Guo, Yuanbo Wen, Li Ding, Shuo Wang, Xuyuan Zhu, Xiong Peng, Di Huang, Zidong Du, Xing Hu, Qi Guo, Yunji Chen |
| 2026 | ACL | Rhombus: Incentivizing Coordination in Parallel Thinking through Reinforcement Learning. | Ziyuan Nan, Qi Yi, Di Huang, Yutong Wu, Guanhua Huang, Xue Gong, Kejiao Li, Yuhao Jiang, Chenchen Zhang, Zenan Xu, Xing Hu, Bo Zhou |
| 2026 | ACL | Revisiting Entropy Regularization: Adaptive Coefficient Unlocks Its Potential for LLM Reinforcement Learning. | Xiaoyun Zhang, Xiaojian Yuan, Di Huang, Wang You, Chen Hu, Jingqing Ruan, Kejiang Chen, Xing Hu |
| 2026 | ASPDAC | FlexMem: High-Parallel Near-Memory Architecture for Flexible Dataflow in Fully Homomorphic Encryption. | Shangyi Shi, Husheng Han, Jianan Mu, Xinyao Zheng, Ling Liang, Hang Lu, Zidong Du, Xiaowei Li, Xing Hu |
| 2026 | ASPLOS | Hardwired-Neuron Language Processing Units as General-Purpose Cognitive Substrates. | 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 | DATE | From Trigger to Impact: Knowledge-Graph Reasoning and Risk-Aware Classification for Hardware Trojan Detection. | Yang Zhang, Xing Hu, Xiaowen Chen, Huan Guo, Zhenyu Zhao, Sheng Liu |
| 2026 | HPCA | Cambricon-CIM: Enabling Energy-Efficient and Error-Resilient Analog CIM Acceleration via Reformation of Coding Bases. | 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 | HPCA | Cambricon-GS: An Accelerator for 3D Gaussian Splatting Training With Gaussian-Pixel Hybrid Parallelism. | Rui Wen, Zhifei Yue, Tianbo Liu, Xinkai Song, Jin Li, Di Huang, Jiaming Guo, Xing Hu, Zidong Du, Qi Guo, Tianshi Chen |
| 2026 | ISCA | He | Shangyi Shi, Husheng Han, Zhaoxuan Kan, Yinghao Yang, Jianan Mu, Tenghui Hua, Ge Yu, Xinyao Zheng, Ling Liang, Zidong Du, Xing Hu |
| 2025 | AAAI | InverseCoder: Self-improving Instruction-Tuned Code LLMs with Inverse-Instruct. | 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 | APSEC | Multi-Stage Generation of Rust Unit Tests with LLMs. | Yongqian Chen, Junwei Zhang, Xing Hu, Xin Xia |
| 2025 | APSEC | Where Is Self-admitted Code Generated by Large Language Models on GitHub? | Xiao Yu, Lei Liu, Xing Hu, Jin Liu, Xin Xia |
| 2025 | ASPLOS | Mosaic: Exploiting Instruction-Level Parallelism on Deep Learning Accelerators with | 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 | CVPR | PillarHist: A Quantization-aware Pillar Feature Encoder based on Height-aware Histogram. | Sifan Zhou, Zhihang Yuan, Dawei Yang, Xing Hu, Jian Qian, Ziyu Zhao |
| 2025 | EMNLP | CogAtom: From Cognitive Atoms to Olympiad-level Mathematical Reasoning in Large Language Models. | Zhuofan Chen, Jiyuan He, Yichi Zhang, Xing Hu, Haoxing Wen, Jun Bai, Wenge Rong |
| 2025 | HPCA | Cambricon-DG: An Accelerator for Redundant-Free Dynamic Graph Neural Networks Based on Nonlinear Isolation. | Zhifei Yue, Xinkai Song, Tianbo Liu, Xing Hu, Rui Zhang, Zidong Du, Wei Li, Qi Guo, Tianshi Chen |
| 2025 | ICLR | OSTQuant: Refining Large Language Model Quantization with Orthogonal and Scaling Transformations for Better Distribution Fitting. | Xing Hu, Yuan Cheng, Dawei Yang, Zhixuan Chen, Zukang Xu, Jiangyong Yu, Chen Xu, Zhihang Yuan, Zhe Jiang, Sifan Zhou |
| 2025 | ICLR | MambaQuant: Quantizing the Mamba Family with Variance Aligned Rotation Methods. | Zukang Xu, Yuxuan Yue, Xing Hu, Dawei Yang, Zhihang Yuan, Zixu Jiang, Zhixuan Chen, Jiangyong Yu, Chen Xu, Sifan Zhou |
| 2025 | ICML | MoEQuant: Enhancing Quantization for Mixture-of-Experts Large Language Models via Expert-Balanced Sampling and Affinity Guidance. | Zhixuan Chen, Xing Hu, Dawei Yang, Zukang Xu, Chen Xu, Zhihang Yuan, Sifan Zhou, Jiangyong Yu |
| 2025 | ICML | FicGCN: Unveiling the Homomorphic Encryption Efficiency from Irregular Graph Convolutional Networks. | Zhaoxuan Kan, Husheng Han, Shangyi Shi, Tenghui Hua, Hang Lu, Xiaowei Li, Jianan Mu, Xing Hu |
| 2025 | ICML | RWKVQuant: Quantizing the RWKV Family with Proxy Guided Hybrid of Scalar and Vector Quantization. | Chen Xu, Yuxuan Yue, Zukang Xu, Xing Hu, Jiangyong Yu, Zhixuan Chen, Sifan Zhou, Zhihang Yuan, Dawei Yang |
| 2025 | IJCAI | Automated Superscalar Processor Design by Learning Data Dependencies. | 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 | ISCA | Cambricon-SR: An Accelerator for Neural Scene Representation with Sparse Encoding Table. | 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 | ISCA | AIM: Software and Hardware Co-design for Architecture-level IR-drop Mitigation in High-performance PIM. | Yuanpeng Zhang, Xing Hu, Xi Chen, Zhihang Yuan, Cong Li, Jingchen Zhu, Zhao Wang, Chenguang Zhang, Xin Si, Wei Gao, Qiang Wu, Runsheng Wang, Guangyu Sun |
| 2025 | ICRA | KARMA: Augmenting Embodied AI Agents with Long-and-Short Term Memory Systems. | Zixuan Wang, Bo Yu, Junzhe Zhao, Wenhao Sun, Sai Hou, Shuai Liang, Xing Hu, Yinhe Han, Yiming Gan |
| 2025 | ICSE | Reasoning Runtime Behavior of a Program with LLM: How Far are We? | Junkai Chen, Zhiyuan Pan, Xing Hu, Zhenhao Li, Ge Li, Xin Xia |
| 2025 | ICSE | Towards Better Answers: Automated Stack Overflow Post Updating. | Yubo Mai, Zhipeng Gao, Haoye Wang, Tingting Bi, Xing Hu, Xin Xia, Jianling Sun |
| 2025 | ICSE | Similar but Patched Code Considered Harmful: The Impact of Similar but Patched Code on Recurring Vulnerability Detection and How to Remove Them. | Zixuan Tan, Jiayuan Zhou, Xing Hu, Shengyi Pan, Kui Liu, Xin Xia |
| 2025 | ISSTA | Code2API: A Tool for Generating Reusable APIs from Stack Overflow Code Snippets. | Yubo Mai, Zhipeng Gao, Xing Hu, Lingfeng Bao, Jingyuan Chen, Jianling Sun |
| 2025 | MSR | From Industrial Practices to Academia: Uncovering the Gap in Vulnerability Research and Practice. | Zhuang Liu, Xing Hu, Jiayuan Zhou, Xin Xia |
| 2025 | NAACL | DiffZOO: A Purely Query-Based Black-Box Attack for Red-teaming Text-to-Image Generative Model via Zeroth Order Optimization. | Pucheng Dang, Xing Hu, Dong Li, Rui Zhang, Qi Guo, Kaidi Xu |
| 2025 | PODC | You can lie but not deny: SWMR registers with signature properties in systems with Byzantine processes. | Xing Hu, Sam Toueg |
| 2025 | SANER | Tracets4J: A Traceable Unit Test Generation Dataset. | Xuancheng Jin, Zhuang Liu, Junwei Zhang, Xing Hu, Xin Xia |
| 2024 | AAAI | Hypothesis, Verification, and Induction: Grounding Large Language Models with Self-Driven Skill Learning. | 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 | APSEC | Analyzing and Detecting Toxicities in Developer Online Chatrooms: A Fine-Grained Taxonomy and Automated Detection Approach. | Junyi Tian, Lingfeng Bao, Shengyi Pan, Xing Hu |
| 2024 | ASPLOS | TensorTEE: Unifying Heterogeneous TEE Granularity for Efficient Secure Collaborative Tensor Computing. | 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 | CVPR | Can Protective Perturbation Safeguard Personal Data from Being Exploited by Stable Diffusion? | Zhengyue Zhao, Jinhao Duan, Kaidi Xu, Chenan Wang, Rui Zhang, Zidong Du, Qi Guo, Xing Hu |
| 2024 | DAC | Revisiting Automatic Pipelining: Gate-level Forwarding and Speculation. | Shuyao Cheng, Chongxiao Li, Zidong Du, Rui Zhang, Xing Hu, Xiaqing Li, Guanglin Xu, Yuanbo Wen, Qi Guo |
| 2024 | DAC | Alchemist: A Unified Accelerator Architecture for Cross-Scheme Fully Homomorphic Encryption. | 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 | ICML | Prompt-based Visual Alignment for Zero-shot Policy Transfer. | 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 | IJCAI | Automated CPU Design by Learning from Input-Output Examples. | 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 | ISCA | Cambricon-D: Full-Network Differential Acceleration for Diffusion Models. | 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 | ICSE | Exploiting Library Vulnerability via Migration Based Automating Test Generation. | Zirui Chen, Xing Hu, Xin Xia, Yi Gao, Tongtong Xu, David Lo, Xiaohu Yang |
| 2024 | ICSE | Code Search is All You Need? Improving Code Suggestions with Code Search. | Junkai Chen, Xing Hu, Zhenhao Li, Cuiyun Gao, Xin Xia, David Lo |
| 2024 | ICSE | MUT: Human-in-the-Loop Unit Test Migration. | Yi Gao, Xing Hu, Tongtong Xu, Xin Xia, David Lo, Xiaohu Yang |
| 2024 | ICSE | Learning in the Wild: Towards Leveraging Unlabeled Data for Effectively Tuning Pre-trained Code Models. | Shuzheng Gao, Wenxin Mao, Cuiyun Gao, Li Li, Xing Hu, Xin Xia, Michael R. Lyu |
| 2024 | ICSE | MiniMon: Minimizing Android Applications with Intelligent Monitoring-Based Debloating. | Jiakun Liu, Zicheng Zhang, Xing Hu, Ferdian Thung, Shahar Maoz, Debin Gao, Eran Toch, Zhipeng Zhao, David Lo |
| 2024 | ICSE | PPT4J: Patch Presence Test for Java Binaries. | Zhiyuan Pan, Xing Hu, Xin Xia, Xian Zhan, David Lo, Xiaohu Yang |
| 2024 | ICSE | Towards More Practical Automation of Vulnerability Assessment. | Shengyi Pan, Lingfeng Bao, Jiayuan Zhou, Xing Hu, Xin Xia, Shanping Li |
| 2024 | ICSE | Streamlining Java Programming: Uncovering Well-Formed Idioms with IdioMine. | Yanming Yang, Xing Hu, Xin Xia, David Lo, Xiaohu Yang |
| 2024 | ICSE | PS3: Precise Patch Presence Test based on Semantic Symbolic Signature. | Qi Zhan, Xing Hu, Zhiyang Li, Xin Xia, David Lo, Shanping Li |
| 2024 | ISCC | Hardware Trojan Detection Based on Circuit Sequence Features with GRU Neural Network. | Zhenghao Li, Yang Zhang, Xing Hu, Shaoqing Li, Bin Liang |
| 2024 | ISSTA | Practitioners' Expectations on Automated Test Generation. | Xiao Yu, Lei Liu, Xing Hu, Jacky Keung, Xin Xia, David Lo |
| 2024 | ISSTA | Automating Zero-Shot Patch Porting for Hard Forks. | Shengyi Pan, You Wang, Zhongxin Liu, Xing Hu, Xin Xia, Shanping Li |
| 2024 | ISSTA | Silent Taint-Style Vulnerability Fixes Identification. | Zhongzhen Wen, Jiayuan Zhou, Minxue Pan, Shaohua Wang, Xing Hu, Tongtong Xu, Tian Zhang, Xuandong Li |
| 2024 | ISSTA | SelfPiCo: Self-Guided Partial Code Execution with LLMs. | Zhipeng Xue, Zhipeng Gao, Shaohua Wang, Xing Hu, Xin Xia, Shanping Li |
| 2024 | MICRO | Cambricon-C: Efficient 4-Bit Matrix Unit via Primitivization. | 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 | MICRO | Cambricon-M: A Fibonacci-Coded Charge-Domain SRAM-Based CIM Accelerator for DNN Inference. | 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 | MICRO | Cambricon-LLM: A Chiplet-Based Hybrid Architecture for On-Device Inference of 70B LLM. | 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 | MSR | A Large-Scale Empirical Study of Open Source License Usage: Practices and Challenges. | Jiaqi Wu, Lingfeng Bao, Xiaohu Yang, Xin Xia, Xing Hu |
| 2023 | AAAI | Online Symbolic Regression with Informative Query. | Pengwei Jin, Di Huang, Rui Zhang, Xing Hu, Ziyuan Nan, Zidong Du, Qi Guo, Yunji Chen |
| 2023 | AAAI | Conceptual Reinforcement Learning for Language-Conditioned Tasks. | Shaohui Peng, Xing Hu, Rui Zhang, Jiaming Guo, Qi Yi, Ruizhi Chen, Zidong Du, Ling Li, Qi Guo, Yunji Chen |
| 2023 | ASPLOS | Heron: Automatically Constrained High-Performance Library Generation for Deep Learning Accelerators. | 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 | ICASSP | Spatial-Temporal Graph Convolutional Network Boosted Flow-Frame Prediction For Video Anomaly Detection. | Kai Cheng, Xinhua Zeng, Yang Liu, Mengyang Zhao, Chengxin Pang, Xing Hu |
| 2023 | ICLR | BALTO: fast tensor program optimization with diversity-based active learning. | Jun Bi, Xiaqing Li, Qi Guo, Rui Zhang, Yuanbo Wen, Xing Hu, Zidong Du, Xinkai Song, Yifan Hao, Yunji Chen |
| 2023 | ICML | Online Prototype Alignment for Few-shot Policy Transfer. | 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 | ICSE | SkCoder: A Sketch-based Approach for Automatic Code Generation. | Jia Li, Yongmin Li, Ge Li, Zhi Jin, Yiyang Hao, Xing Hu |
| 2023 | ICSE | CoLeFunDa: Explainable Silent Vulnerability Fix Identification. | Jiayuan Zhou, Michael Pacheco, Jinfu Chen, Xing Hu, Xin Xia, David Lo, Ahmed E. Hassan |
| 2023 | MICRO | Cambricon-R: A Fully Fused Accelerator for Real-Time Learning of Neural Scene Representation. | 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 |
| 2022 | CVPR | DAIR-V2X: A Large-Scale Dataset for Vehicle-Infrastructure Cooperative 3D Object Detection. | Haibao Yu, Yizhen Luo, Mao Shu, Yiyi Huo, Zebang Yang, Yifeng Shi, Zhenglong Guo, Hanyu Li, Xing Hu, Jirui Yuan, Zaiqing Nie |
| 2022 | ICLR | Neural Program Synthesis with Query. | Di Huang, Rui Zhang, Xing Hu, Xishan Zhang, Pengwei Jin, Nan Li, Zidong Du, Qi Guo, Yunji Chen |
| 2022 | ICML | BabelTower: Learning to Auto-parallelized Program Translation. | 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 | ICSE | Practitioners' Expectations on Automated Code Comment Generation. | Xing Hu, Xin Xia, David Lo, Zhiyuan Wan, Qiuyuan Chen, Thomas Zimmermann |
| 2022 | MICRO | Cambricon-P: A Bitflow Architecture for Arbitrary Precision Computing. | Yifan Hao, Yongwei Zhao, Chenxiao Liu, Zidong Du, Shuyao Cheng, Xiaqing Li, Xing Hu, Qi Guo, Zhiwei Xu, Tianshi Chen |
| 2022 | SMC | 3D Object Detection Based on Multi-scale Feature Fusion and Contrastive Learning. | Min Wang, Xing Hu, Tulga Khuyag |
| 2021 | DAC | SEALing Neural Network Models in Encrypted Deep Learning Accelerators. | Pengfei Zuo, Yu Hua, Ling Liang, Xinfeng Xie, Xing Hu, Yuan Xie |
| 2021 | HPCA | SpaceA: Sparse Matrix Vector Multiplication on Processing-in-Memory Accelerator. | Xinfeng Xie, Zheng Liang, Peng Gu, Abanti Basak, Lei Deng, Ling Liang, Xing Hu, Yuan Xie |
| 2021 | HPCC | A Noc Centric Low Overhead Multi-chip Interconnection Technology. | Xing Hu, Yang Zhang, Li Mao, Jie Shen, Zuocheng Xing |
| 2021 | ICONIP | Stack Multiple Shallow Autoencoders into a Strong One: A New Reconstruction-Based Method to Detect Anomaly. | Hanqi Wang, Xing Hu, Liang Song, Guanhua Zhang, Yang Liu, Jing Liu, Linhua Jiang |
| 2021 | IJCAI | Hindsight Value Function for Variance Reduction in Stochastic Dynamic Environment. | Jiaming Guo, Rui Zhang, Xishan Zhang, Shaohui Peng, Qi Yi, Zidong Du, Xing Hu, Qi Guo, Yunji Chen |
| 2021 | ICRA | Learning Optical Flow with R-CNN for Visual Odometry. | Yingping Huang, Baigan Zhao, Chong Gao, Xing Hu |
| 2021 | ISCA | Cambricon-Q: A Hybrid Architecture for Efficient Training. | 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 | PODC | On Register Linearizability and Termination. | Vassos Hadzilacos, Xing Hu, Sam Toueg |
| 2020 | ASPLOS | DeepSniffer: A DNN Model Extraction Framework Based on Learning Architectural Hints. | Xing Hu, Ling Liang, Shuangchen Li, Lei Deng, Pengfei Zuo, Yu Ji, Xinfeng Xie, Yufei Ding, Chang Liu, Timothy Sherwood, Yuan Xie |
| 2020 | HPCA | HyGCN: A GCN Accelerator with Hybrid Architecture. | Mingyu Yan, Lei Deng, Xing Hu, Ling Liang, Yujing Feng, Xiaochun Ye, Zhimin Zhang, Dongrui Fan, Yuan Xie |
| 2020 | MICRO | DUET: Boosting Deep Neural Network Efficiency on Dual-Module Architecture. | Liu Liu, Zheng Qu, Lei Deng, Fengbin Tu, Shuangchen Li, Xing Hu, Zhenyu Gu, Yufei Ding, Yuan Xie |
| 2020 | VTS | Sequence Triggered Hardware Trojan in Neural Network Accelerator. | Zizhen Liu, Jing Ye, Xing Hu, Huawei Li, Xiaowei Li, Yu Hu |
| 2019 | ASPLOS | FPSA: A Full System Stack Solution for Reconfigurable ReRAM-based NN Accelerator Architecture. | Yu Ji, Youyang Zhang, Xinfeng Xie, Shuangchen Li, Peiqi Wang, Xing Hu, Youhui Zhang, Yuan Xie |
| 2019 | COMPSAC | Deep-AutoCoder: Learning to Complete Code Precisely with Induced Code Tokens. | Xing Hu, Rui Men, Ge Li, Zhi Jin |
| 2019 | DAC | Memory-Bound Proof-of-Work Acceleration for Blockchain Applications. | Kun Wu, Guohao Dai, Xing Hu, Shuangchen Li, Xinfeng Xie, Yu Wang, Yuan Xie |
| 2019 | DATE | Near-Data Acceleration of Privacy-Preserving Biomarker Search with 3D-Stacked Memory. | Alvin Oliver Glova, Itir Akgun, Shuangchen Li, Xing Hu, Yuan Xie |
| 2019 | DATE | Memory Trojan Attack on Neural Network Accelerators. | Yang Zhao, Xing Hu, Shuangchen Li, Jing Ye, Lei Deng, Yu Ji, Jianyu Xu, Dong Wu, Yuan Xie |
| 2019 | HPCA | Analysis and Optimization of the Memory Hierarchy for Graph Processing Workloads. | Abanti Basak, Shuangchen Li, Xing Hu, Sang Min Oh, Xinfeng Xie, Li Zhao, Xiaowei Jiang, Yuan Xie |
| 2019 | ICCD | When Deep Learning Meets the Edge: Auto-Masking Deep Neural Networks for Efficient Machine Learning on Edge Devices. | Ning Lin, Hang Lu, Xing Hu, Jingliang Gao, Mingzhe Zhang, Xiaowei Li |
| 2019 | ICLR | Dynamic Sparse Graph for Efficient Deep Learning. | Liu Liu, Lei Deng, Xing Hu, Maohua Zhu, Guoqi Li, Yufei Ding, Yuan Xie |
| 2019 | ISLPED | Balancing Memory Accesses for Energy-Efficient Graph Analytics Accelerators. | Mingyu Yan, Xing Hu, Shuangchen Li, Itir Akgun, Han Li, Xin Ma, Lei Deng, Xiaochun Ye, Zhimin Zhang, Dongrui Fan, Yuan Xie |
| 2019 | MICRO | MEDAL: Scalable DIMM based Near Data Processing Accelerator for DNA Seeding Algorithm. | Wenqin Huangfu, Xueqi Li, Shuangchen Li, Xing Hu, Peng Gu, Yuan Xie |
| 2019 | MICRO | Alleviating Irregularity in Graph Analytics Acceleration: a Hardware/Software Co-Design Approach. | 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 | OPODIS | Optimal Register Construction in M&M Systems. | Vassos Hadzilacos, Xing Hu, Sam Toueg |
| 2018 | DAC | RADAR: a 3D-reRAM based DNA alignment accelerator architecture. | Wenqin Huangfu, Shuangchen Li, Xing Hu, Yuan Xie |
| 2018 | IJCAI | Summarizing Source Code with Transferred API Knowledge. | Xing Hu, Ge Li, Xin Xia, David Lo, Shuai Lu, Zhi Jin |
| 2018 | MICRO | Persistence Parallelism Optimization: A Holistic Approach from Memory Bus to RDMA Network. | Xing Hu, Matheus Ogleari, Jishen Zhao, Shuangchen Li, Abanti Basak, Yuan Xie |
| 2018 | MICRO | SCOPE: A Stochastic Computing Engine for DRAM-Based In-Situ Accelerator. | Shuangchen Li, Alvin Oliver Glova, Xing Hu, Peng Gu, Dimin Niu, Krishna T. Malladi, Hongzhong Zheng, Bob Brennan, Yuan Xie |
| 2016 | IECON | Extended state observer based fault detection and location method for modular multilevel converters. | Xing Hu, Jianzhong Zhang, Shuai Xu, Jun Hang |
| 2016 | ISPDC | Highly Efficient Proxy Re-encryption Schemes for User-End Encrypted Cloud Data Sharing. | Xing Hu, Chunming Tang, Duncan S. Wong |
| 2014 | ASPDAC | SwimmingLane: A composite approach to mitigate voltage droop effects in 3D power delivery network. | Xing Hu, Yi Xu, Yu Hu, Yuan Xie |
| 2014 | CIDM | Product aspect identification: Analyzing role of different classifiers. | Xing Hu, Sukanya Manna, Brian N. Truong |
| 2014 | DAC | Thermal-Sustainable Power Budgeting for Dynamic Threading. | Xing Hu, Yi Xu, Jun Ma, Guoqing Chen, Yu Hu, Yuan Xie |
| 2013 | DATE | Orchestrator: a low-cost solution to reduce voltage emergencies for multi-threaded applications. | Xing Hu, Guihai Yan, Yu Hu, Xiaowei Li |
| 2012 | CloudCom | An efficient key distribution scheme in cloud computing. | Chunming Tang, Xing Hu, Duncan S. Wong, Dingyi Pei |
| 2011 | DATE | A cost-effective substantial-impact-filter based method to tolerate voltage emergencies. | Songjun Pan, Yu Hu, Xing Hu, Xiaowei Li |