Qiang Xu

ORCID

Publication Activity (10 Years)

Years Active: 2005-2024
Publications (10 Years): 96

Top Venues

Publications

Fan Cui, Chenyang Yin, Kexing Zhou, Youwei Xiao, Guangyu Sun, Qiang Xu, Qipeng Guo, Demin Song, Dahua Lin, Xingcheng Zhang, Yun Liang
OriGen:Enhancing RTL Code Generation with Code-to-Code Augmentation and Self-Reflection. CoRR (2024)
Lei Chen, Yiqi Chen, Zhufei Chu, Wenji Fang, Tsung-Yi Ho, Yu Huang, Sadaf Khan, Min Li, Xingquan Li, Yun Liang, Yibo Lin, Jinwei Liu, Yi Liu, Guojie Luo, Zhengyuan Shi, Guangyu Sun, Dimitrios Tsaras, Runsheng Wang, Ziyi Wang, Xinming Wei, Zhiyao Xie, Qiang Xu, Chenhao Xue, Evangeline F. Y. Young, Bei Yu, Mingxuan Yuan, Haoyi Zhang, Zuodong Zhang, Yuxiang Zhao, Hui-Ling Zhen, Ziyang Zheng, Binwu Zhu, Keren Zhu, Sunan Zou
The Dawn of AI-Native EDA: Promises and Challenges of Large Circuit Models. CoRR (2024)
Yuxuan Bian, Ailing Zeng, Xuan Ju, Xian Liu, Zhaoyang Zhang, Wei Liu, Qiang Xu
Adding Multi-modal Controls to Whole-body Human Motion Generation. CoRR (2024)
Yibo Wang, Ruiyuan Gao, Kai Chen, Kaiqiang Zhou, Yingjie Cai, Lanqing Hong, Zhenguo Li, Lihui Jiang, Dit-Yan Yeung, Qiang Xu, Kai Zhang
DetDiffusion: Synergizing Generative and Perceptive Models for Enhanced Data Generation and Perception. CoRR (2024)
Zhengyuan Shi, Ziyang Zheng, Sadaf Khan, Jianyuan Zhong, Min Li, Qiang Xu
DeepGate3: Towards Scalable Circuit Representation Learning. CoRR (2024)
Ruiyuan Gao, Kai Chen, Enze Xie, Lanqing Hong, Zhenguo Li, Dit-Yan Yeung, Qiang Xu
MagicDrive: Street View Generation with Diverse 3D Geometry Control. ICLR (2024)
Yijun Yang, Ruiyuan Gao, Xiao Yang, Jianyuan Zhong, Qiang Xu
GuardT2I: Defending Text-to-Image Models from Adversarial Prompts. CoRR (2024)
Ruiyuan Gao, Kai Chen, Zhihao Li, Lanqing Hong, Zhenguo Li, Qiang Xu
MagicDrive3D: Controllable 3D Generation for Any-View Rendering in Street Scenes. CoRR (2024)
Qiuxia Lai, Ailing Zeng, Ye Wang, Lihong Cao, Yu Li, Qiang Xu
Self-Supervised Video Representation Learning via Capturing Semantic Changes Indicated by Saccades. IEEE Trans. Circuits Syst. Video Technol. 34 (8) (2024)
Zhijian Xu, Ailing Zeng, Qiang Xu
FITS: Modeling Time Series with 10k Parameters. ICLR (2024)
Xuan Ju, Ailing Zeng, Yuxuan Bian, Shaoteng Liu, Qiang Xu
PnP Inversion: Boosting Diffusion-based Editing with 3 Lines of Code. ICLR (2024)
Xuan Ju, Ailing Zeng, Chenchen Zhao, Jianan Wang, Lei Zhang, Qiang Xu
HumanSD: A Native Skeleton-Guided Diffusion Model for Human Image Generation. CoRR (2023)
Zhengyuan Shi, Hongyang Pan, Sadaf Khan, Min Li, Yi Liu, Junhua Huang, Hui-Ling Zhen, Mingxuan Yuan, Zhufei Chu, Qiang Xu
DeepGate2: Functionality-Aware Circuit Representation Learning. ICCAD (2023)
Muxi Chen, Zhijian Xu, Ailing Zeng, Qiang Xu
FrAug: Frequency Domain Augmentation for Time Series Forecasting. CoRR (2023)
Zhijian Xu, Ailing Zeng, Qiang Xu
FITS: Modeling Time Series with 10k Parameters. CoRR (2023)
Zhihan Chen, Xindi Zhang, Yuhang Qian, Qiang Xu, Shaowei Cai
Integrating Exact Simulation into Sweeping for Datapath Combinational Equivalence Checking. ICCAD (2023)
Ailing Zeng, Muxi Chen, Lei Zhang, Qiang Xu
Are Transformers Effective for Time Series Forecasting? AAAI (2023)
Yijun Yang, Ruiyuan Gao, Xiaosen Wang, Nan Xu, Qiang Xu
MMA-Diffusion: MultiModal Attack on Diffusion Models. CoRR (2023)
Ruiyuan Gao, Chenchen Zhao, Lanqing Hong, Qiang Xu
DiffGuard: Semantic Mismatch-Guided Out-of-Distribution Detection using Pre-trained Diffusion Models. CoRR (2023)
Ruiyuan Gao, Chenchen Zhao, Lanqing Hong, Qiang Xu
DiffGuard: Semantic Mismatch-Guided Out-of-Distribution Detection using Pre-trained Diffusion Models. ICCV (2023)
Zhengyuan Shi, Min Li, Yi Liu, Sadaf Khan, Junhua Huang, Hui-Ling Zhen, Mingxuan Yuan, Qiang Xu
SATformer: Transformer-Based UNSAT Core Learning. ICCAD (2023)
Min Li, Zhengyuan Shi, Qiuxia Lai, Sadaf Khan, Shaowei Cai, Qiang Xu
On EDA-Driven Learning for SAT Solving. DAC (2023)
Ailing Zeng, Xuan Ju, Lei Yang, Ruiyuan Gao, Xizhou Zhu, Bo Dai, Qiang Xu
DeciWatch: A Simple Baseline for 10˟ Efficient 2D and 3D Pose Estimation. ECCV (5) (2022)
Yijun Yang, Ruiyuan Gao, Qiang Xu
Out-of-Distribution Detection with Semantic Mismatch under Masking. CoRR (2022)
Zhengyuan Shi, Min Li, Sadaf Khan, Liuzheng Wang, Naixing Wang, Yu Huang, Qiang Xu
DeepTPI: Test Point Insertion with Deep Reinforcement Learning. CoRR (2022)
Yu Li, Muxi Chen, Qiang Xu
HybridRepair: towards annotation-efficient repair for deep learning models. ISSTA (2022)
Min Li, Sadaf Khan, Zhengyuan Shi, Naixing Wang, Huang Yu, Qiang Xu
DeepGate: learning neural representations of logic gates. DAC (2022)
Zhiyuan He, Yijun Yang, Pin-Yu Chen, Qiang Xu, Tsung-Yi Ho
Be Your Own Neighborhood: Detecting Adversarial Example by the Neighborhood Relations Built on Self-Supervised Learning. CoRR (2022)
Ziyi Wang, Chen Bai, Zhuolun He, Guangliang Zhang, Qiang Xu, Tsung-Yi Ho, Bei Yu, Yu Huang
Functionality matters in netlist representation learning. DAC (2022)
Minhao Liu, Ailing Zeng, Muxi Chen, Zhijian Xu, Qiuxia Lai, Lingna Ma, Qiang Xu
SCINet: Time Series Modeling and Forecasting with Sample Convolution and Interaction. NeurIPS (2022)
Yu Li, Muxi Chen, Yannan Liu, Daojing He, Qiang Xu
An Empirical Study on the Efficacy of Deep Active Learning for Image Classification. CoRR (2022)
Zhengyuan Shi, Min Li, Sadaf Khan, Hui-Ling Zhen, Mingxuan Yuan, Qiang Xu
SATformer: Transformers for SAT Solving. CoRR (2022)
Zhengyuan Shi, Min Li, Sadaf Khan, Liuzheng Wang, Naixing Wang, Yu Huang, Qiang Xu
DeepTPI: Test Point Insertion with Deep Reinforcement Learning. ITC (2022)
Yijun Yang, Ruiyuan Gao, Yu Li, Qiuxia Lai, Qiang Xu
What You See is Not What the Network Infers: Detecting Adversarial Examples Based on Semantic Contradiction. CoRR (2022)
Ailing Zeng, Xuan Ju, Lei Yang, Ruiyuan Gao, Xizhou Zhu, Bo Dai, Qiang Xu
DeciWatch: A Simple Baseline for 10x Efficient 2D and 3D Pose Estimation. CoRR (2022)
Min Li, Zhengyuan Shi, Qiuxia Lai, Sadaf Khan, Qiang Xu
DeepSAT: An EDA-Driven Learning Framework for SAT. CoRR (2022)
Yijun Yang, Ruiyuan Gao, Yu Li, Qiuxia Lai, Qiang Xu
What You See is Not What the Network Infers: Detecting Adversarial Examples Based on Semantic Contradiction. NDSS (2022)
Ailing Zeng, Muxi Chen, Lei Zhang, Qiang Xu
Are Transformers Effective for Time Series Forecasting? CoRR (2022)
Yijun Yang, Ruiyuan Gao, Qiang Xu
Out-of-Distribution Detection with Semantic Mismatch Under Masking. ECCV (24) (2022)
Minhao Liu, Ailing Zeng, Qiuxia Lai, Ruiyuan Gao, Min Li, Jing Qin, Qiang Xu
T-WaveNet: A Tree-Structured Wavelet Neural Network for Time Series Signal Analysis. ICLR (2022)
Ailing Zeng, Lei Yang, Xuan Ju, Jiefeng Li, Jianyi Wang, Qiang Xu
SmoothNet: A Plug-and-Play Network for Refining Human Poses in Videos. ECCV (5) (2022)
Min Li, Yu Li, Ye Tian, Li Jiang, Qiang Xu
AppealNet: An Efficient and Highly-Accurate Edge/Cloud Collaborative Architecture for DNN Inference. CoRR (2021)
Yu Li, Min Li, Qiuxia Lai, Yannan Liu, Qiang Xu
TestRank: Bringing Order into Unlabeled Test Instances for Deep Learning Tasks. NeurIPS (2021)
Xingyi Wang, Yu Li, Yiquan Chen, Shiwen Wang, Yin Du, Cheng He, YuZhong Zhang, Pinan Chen, Xin Li, Wenjun Song, Qiang Xu, Li Jiang
On Workload-Aware DRAM Failure Prediction in Large-Scale Data Centers. VTS (2021)
Yijun Yang, Ruiyuan Gao, Yu Li, Qiuxia Lai, Qiang Xu
MixDefense: A Defense-in-Depth Framework for Adversarial Example Detection Based on Statistical and Semantic Analysis. CoRR (2021)
Ailing Zeng, Minhao Liu, Zhiwei Liu, Ruiyuan Gao, Qiang Xu
Hop-Aware Dimension Optimization for Graph Neural Networks. CoRR (2021)
Ailing Zeng, Xiao Sun, Lei Yang, Nanxuan Zhao, Minhao Liu, Qiang Xu
Learning Skeletal Graph Neural Networks for Hard 3D Pose Estimation. ICCV (2021)
Yunyan Hong, Ailing Zeng, Min Li, Cewu Lu, Li Jiang, Qiang Xu
Skimming and Scanning for Untrimmed Video Action Recognition. CoRR (2021)
Yunyan Hong, Ailing Zeng, Min Li, Cewu Lu, Li Jiang, Qiang Xu
Skimming and Scanning for Efficient Action Recognition in Untrimmed Videos. CISP-BMEI (2021)
Min Li, Yu Li, Ye Tian, Li Jiang, Qiang Xu
AppealNet: An Efficient and Highly-Accurate Edge/Cloud Collaborative Architecture for DNN Inference. DAC (2021)
Minhao Liu, Ailing Zeng, Qiuxia Lai, Qiang Xu
Time Series is a Special Sequence: Forecasting with Sample Convolution and Interaction. CoRR (2021)
Yu Li, Min Li, Qiuxia Lai, Yannan Liu, Qiang Xu
TestRank: Bringing Order into Unlabeled Test Instances for Deep Learning Tasks. CoRR (2021)
Qiuxia Lai, Yu Li, Ailing Zeng, Minhao Liu, Hanqiu Sun, Qiang Xu
Information Bottleneck Approach to Spatial Attention Learning. CoRR (2021)
Qiuxia Lai, Yu Li, Ailing Zeng, Minhao Liu, Hanqiu Sun, Qiang Xu
Information Bottleneck Approach to Spatial Attention Learning. IJCAI (2021)
Ailing Zeng, Xiao Sun, Fuyang Huang, Minhao Liu, Qiang Xu, Stephen Lin
SRNet: Improving Generalization in 3D Human Pose Estimation with a Split-and-Recombine Approach. CoRR (2020)
Ailing Zeng, Xiao Sun, Fuyang Huang, Minhao Liu, Qiang Xu, Stephen Lin
SRNet: Improving Generalization in 3D Human Pose Estimation with a Split-and-Recombine Approach. ECCV (14) (2020)
Minhao Liu, Ailing Zeng, Qiuxia Lai, Qiang Xu
T-WaveNet: Tree-Structured Wavelet Neural Network for Sensor-Based Time Series Analysis. CoRR (2020)
Yu Li, Min Li, Bo Luo, Ye Tian, Qiang Xu
DeepDyve: Dynamic Verification for Deep Neural Networks. CoRR (2020)
Bo Luo, Min Li, Yu Li, Qiang Xu
On Configurable Defense against Adversarial Example Attacks. ACM Great Lakes Symposium on VLSI (2020)
Fuyang Huang, Ailing Zeng, Minhao Liu, Qiuxia Lai, Qiang Xu
DeepFuse: An IMU-Aware Network for Real-Time 3D Human Pose Estimation from Multi-View Image. WACV (2020)
Qiuxia Lai, Yongwei Nie, Hanqiu Sun, Qiang Xu, Zhensong Zhang, Mingyu Xiao
Video super-resolution via pre-frame constrained and deep-feature enhanced sparse reconstruction. Pattern Recognit. 100 (2020)
Qian Zhang, Qiang Xu
ApproxIt: A Quality Management Framework of Approximate Computing for Iterative Methods. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 39 (5) (2020)
Yu Li, Min Li, Bo Luo, Ye Tian, Qiang Xu
DeepDyve: Dynamic Verification for Deep Neural Networks. CCS (2020)
Ye Tian, Min Li, Qiang Xu
Lightweight prediction based big/little design for efficient neural network inference. SEC (2019)
Li Jiang, Zhuoran Song, Haiyue Song, Chengwen Xu, Qiang Xu, Naifeng Jing, Weifeng Zhang, Xiaoyao Liang
Energy-Efficient and Quality-Assured Approximate Computing Framework Using a Co-Training Method. ACM Trans. Design Autom. Electr. Syst. 24 (6) (2019)
Bo Luo, Yu Li, Lingxiao Wei, Qiang Xu
On Functional Test Generation for Deep Neural Network IPs. DATE (2019)
Yu Li, Yannan Liu, Min Li, Ye Tian, Bo Luo, Qiang Xu
D2NN: a fine-grained dual modular redundancy framework for deep neural networks. ACSAC (2019)
Bo Luo, Yu Li, Lingxiao Wei, Qiang Xu
On Functional Test Generation for Deep Neural Network IPs. CoRR (2019)
Bo Luo, Qiang Xu
Region-Wise Attack: On Efficient Generation of Robust Physical Adversarial Examples. CoRR (2019)
Fuyang Huang, Ailing Zeng, Minhao Liu, Qiuxia Lai, Qiang Xu
DeepFuse: An IMU-Aware Network for Real-Time 3D Human Pose Estimation from Multi-View Image. CoRR (2019)
Fuyang Huang, Ailing Zeng, Minhao Liu, Jing Qin, Qiang Xu
Structure-Aware 3D Hourglass Network for Hand Pose Estimation from Single Depth Image. BMVC (2018)
Ye Tian, Qian Zhang, Ting Wang, Qiang Xu
Lookup table allocation for approximate computing with memory under quality constraints. DATE (2018)
Qiang Han, Qiang Xu, Wen-Ben Jone
SERA: statistical error rate analysis for profit-oriented performance binning of resilient circuits. Integr. 60 (2018)
Xiaoming Chen, Qiaoyi Liu, Song Yao, Jia Wang, Qiang Xu, Yu Wang, Yongpan Liu, Huazhong Yang
Hardware Trojan Detection in Third-Party Digital Intellectual Property Cores by Multilevel Feature Analysis. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 37 (7) (2018)
Fuyang Huang, Ailing Zeng, Minhao Liu, Jing Qin, Qiang Xu
Structure-Aware 3D Hourglass Network for Hand Pose Estimation from Single Depth Image. CoRR (2018)
Haiyue Song, Chengwen Xu, Qiang Xu, Zhuoran Song, Naifeng Jing, Xiaoyao Liang, Li Jiang
Invocation-driven neural approximate computing with a multiclass-classifier and multiple approximators. ICCAD (2018)
Haiyue Song, Chengwen Xu, Qiang Xu, Zhuoran Song, Naifeng Jing, Xiaoyao Liang, Li Jiang
Invocation-driven Neural Approximate Computing with a Multiclass-Classifier and Multiple Approximators. CoRR (2018)
Lingxiao Wei, Bo Luo, Yu Li, Yannan Liu, Qiang Xu
I Know What You See: Power Side-Channel Attack on Convolutional Neural Network Accelerators. ACSAC (2018)
Lingxiao Wei, Yannan Liu, Bo Luo, Yu Li, Qiang Xu
I Know What You See: Power Side-Channel Attack on Convolutional Neural Network Accelerators. CoRR (2018)
Bo Luo, Min Li, Yu Li, Qiang Xu
On Configurable Defense against Adversarial Example Attacks. CoRR (2018)
Bo Luo, Yannan Liu, Lingxiao Wei, Qiang Xu
Towards Imperceptible and Robust Adversarial Example Attacks Against Neural Networks. AAAI (2018)
Bo Luo, Yannan Liu, Lingxiao Wei, Qiang Xu
Towards Imperceptible and Robust Adversarial Example Attacks against Neural Networks. CoRR (2018)
Xian Zhang, Guangyu Sun, Peichen Xie, Chao Zhang, Yannan Liu, Lingxiao Wei, Qiang Xu, Chun Jason Xue
Shadow Block: Accelerating ORAM Accesses with Data Duplication. MICRO (2018)
Ting Wang, Yannan Liu, Qiang Xu, Zhaobo Zhang, Zhiyuan Wang, Xinli Gu
RetroDMR: Troubleshooting non-deterministic faults with retrospective DMR. DATE (2017)
Qian Zhang, Ting Wang, Qiang Xu
On resilient task allocation and scheduling with uncertain quality checkers. ASP-DAC (2017)
Ting Wang, Qian Zhang, Qiang Xu
ApproxQA: A unified quality assurance framework for approximate computing. DATE (2017)
Xiaoming Chen, Qiaoyi Liu, Yu Wang, Qiang Xu, Huazhong Yang
Low-overhead implementation of logic encryption using gate replacement techniques. ISQED (2017)
Yannan Liu, Lingxiao Wei, Bo Luo, Qiang Xu
Fault injection attack on deep neural network. ICCAD (2017)
Ye Tian, Qiang Xu, Jason Xue
On efficient message passing in energy harvesting based distributed system. ASP-DAC (2017)
Ye Tian, Ting Wang, Qian Zhang, Qiang Xu
ApproxLUT: A novel approximate lookup table-based accelerator. ICCAD (2017)
Chengwen Xu, Xiangyu Wu, Wenqi Yin, Qiang Xu, Naifeng Jing, Xiaoyao Liang, Li Jiang
On Quality Trade-off Control for Approximate Computing Using Iterative Training. DAC (2017)
Ting Wang, Qian Zhang, Nam Sung Kim, Qiang Xu
On Effective and Efficient Quality Management for Approximate Computing. ISLPED (2016)
Juan Yi, Qian Zhang, Ye Tian, Ting Wang, Weichen Liu, Edwin Hsing-Mean Sha, Qiang Xu
ApproxMap: On task allocation and scheduling for resilient applications. ASP-DAC (2016)
Tianjian Li, Feng Xie, Xiaoyao Liang, Qiang Xu, Krishnendu Chakrabarty, Naifeng Jing, Li Jiang
A Novel Test Method for Metallic CNTs in CNFET-Based SRAMs. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 35 (7) (2016)
Tianjian Li, Li Jiang, Xiaoyao Liang, Qiang Xu, Krishnendu Chakrabarty
Defect tolerance for CNFET-based SRAMs. ITC (2016)
Yannan Liu, Lingxiao Wei, Zhe Zhou, Kehuan Zhang, Wenyuan Xu, Qiang Xu
On Code Execution Tracking via Power Side-Channel. CCS (2016)
Li Jiang, Qiang Xu
Yield and reliability enhancement for 3D ICs: Dissertation summary: IEEE TTTC E.J. McCluskey doctoral thesis award competition finalist. ITC (2015)
Feng Xie, Xiaoyao Liang, Qiang Xu, Krishnendu Chakrabarty, Naifeng Jing, Li Jiang
Jump test for metallic CNTs in CNFET-based SRAM. DAC (2015)
Qian Zhang, Ye Tian, Ting Wang, Feng Yuan, Qiang Xu
ApproxEigen: An Approximate Computing Technique for Large-Scale Eigen-Decomposition. ICCAD (2015)
Xiaolong Zhang, Huiyun Li, Li Jiang, Qiang Xu
A Low-Cost TSV Test and Diagnosis Scheme Based on Binary Search Method. IEEE Trans. Very Large Scale Integr. Syst. 23 (11) (2015)

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Publication Activity (10 Years)

Top Topics

Top Venues

Qiang Xu