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ORCIDQiang Xu 0001
Person information
- affiliation: Chinese University of Hong Kong, Department of Computer Science and Engineering, Hong Kong
- affiliation (PhD 2005): McMaster University, Hamilton, ON, Canada
Other persons with the same name
- Qiang Xu — disambiguation page
- Qiang Xu 0002
![[0000-0002-5903-9781]](https://dblp1.uni-trier.de/img/orcid-mark.12x12.png "0000-0002-5903-9781")
— University of Huddersfield, School of Computing and Engineering, UK (and 4 more) - Qiang Xu 0003 — Lamar University, Dan F. Smith Department of Chemical Engineering, Beaumont, TX, USA
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2020 – today
- 2024
[j35]Qiuxia Lai, Yongwei Nie, Yu Li, Hanqiu Sun, Qiang Xu:
Spatial attention for human-centric visual understanding: An Information Bottleneck method. Comput. Vis. Image Underst. 249: 104180 (2024)- [j34]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): 6634-6645 (2024) - [c170]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. CVPR 2024: 7246-7255 - [c169]Yijun Yang, Ruiyuan Gao, Xiaosen Wang, Tsung-Yi Ho, Nan Xu, Qiang Xu:
MMA-Diffusion: MultiModal Attack on Diffusion Models. CVPR 2024: 7737-7746 - [c168]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 - [c167]Xuan Ju, Ailing Zeng, Yuxuan Bian, Shaoteng Liu, Qiang Xu:
PnP Inversion: Boosting Diffusion-based Editing with 3 Lines of Code. ICLR 2024 - [c166]Zhijian Xu, Ailing Zeng, Qiang Xu:
FITS: Modeling Time Series with 10k Parameters. ICLR 2024 - [c165]Yuxuan Bian, Xuan Ju, Jiangtong Li, Zhijian Xu, Dawei Cheng, Qiang Xu:
Multi-Patch Prediction: Adapting Language Models for Time Series Representation Learning. ICML 2024 - [c164]Zhiyuan He, Yijun Yang, Pin-Yu Chen, Qiang Xu, Tsung-Yi Ho:
Be Your Own Neighborhood: Detecting Adversarial Examples by the Neighborhood Relations Built on Self-Supervised Learning. ICML 2024 - [i56]Yuxuan Bian, Xuan Ju, Jiangtong Li, Zhijian Xu, Dawei Cheng, Qiang Xu:
Multi-Patch Prediction: Adapting LLMs for Time Series Representation Learning. CoRR abs/2402.04852 (2024) - [i55]Yijun Yang, Ruiyuan Gao, Xiao Yang, Jianyuan Zhong, Qiang Xu:
GuardT2I: Defending Text-to-Image Models from Adversarial Prompts. CoRR abs/2403.01446 (2024) - [i54]Muxi Chen, Yi Liu, Jian Yi, Changran Xu, Qiuxia Lai, Hongliang Wang, Tsung-Yi Ho, Qiang Xu:
Evaluating Text-to-Image Generative Models: An Empirical Study on Human Image Synthesis. CoRR abs/2403.05125 (2024) - [i53]Xuan Ju, Xian Liu, Xintao Wang, Yuxuan Bian, Ying Shan, Qiang Xu:
BrushNet: A Plug-and-Play Image Inpainting Model with Decomposed Dual-Branch Diffusion. CoRR abs/2403.06976 (2024) - [i52]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 abs/2403.07257 (2024) - [i51]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 abs/2403.13304 (2024) - [i50]Zhengyuan Shi, Tiebing Tang, Sadaf Khan, Hui-Ling Zhen, Mingxuan Yuan, Zhufei Chu, Qiang Xu:
EDA-Driven Preprocessing for SAT Solving. CoRR abs/2403.19446 (2024) - [i49]Zhijian Xu, Yuxuan Bian, Jianyuan Zhong, Xiangyu Wen, Qiang Xu:
Beyond Trend and Periodicity: Guiding Time Series Forecasting with Textual Cues. CoRR abs/2405.13522 (2024) - [i48]Ruiyuan Gao, Kai Chen, Zhihao Li, Lanqing Hong, Zhenguo Li, Qiang Xu:
MagicDrive3D: Controllable 3D Generation for Any-View Rendering in Street Scenes. CoRR abs/2405.14475 (2024) - [i47]Zhengyuan Shi, Ziyang Zheng, Sadaf Khan, Jianyuan Zhong, Min Li, Qiang Xu:
DeepGate3: Towards Scalable Circuit Representation Learning. CoRR abs/2407.11095 (2024) - [i46]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 abs/2407.16237 (2024) - [i45]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 abs/2407.21136 (2024) - 2023
- [c163]Ailing Zeng, Muxi Chen, Lei Zhang, Qiang Xu:
Are Transformers Effective for Time Series Forecasting? AAAI 2023: 11121-11128 - [c162]Xuan Ju, Ailing Zeng, Jianan Wang, Qiang Xu, Lei Zhang:
Human-Art: A Versatile Human-Centric Dataset Bridging Natural and Artificial Scenes. CVPR 2023: 618-629 - [c161]Min Li, Zhengyuan Shi, Qiuxia Lai, Sadaf Khan, Shaowei Cai, Qiang Xu:
On EDA-Driven Learning for SAT Solving. DAC 2023: 1-6 - [c160]Xiangjun Peng, Zheng Huang, Alex Cantrell, Bihua Shu, Ke Ke Xie, Yi Li, Yu Li, Li Jiang, Qiang Xu, Ming-Chang Yang:
EXPERT: EXPloiting DRAM ERror Types to Improve the Effective Forecasting Coverage in the Field. DSN-S 2023: 35-41 - [c159]Zhihan Chen, Xindi Zhang, Yuhang Qian, Qiang Xu, Shaowei Cai:
Integrating Exact Simulation into Sweeping for Datapath Combinational Equivalence Checking. ICCAD 2023: 1-9 - [c158]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: 1-4 - [c157]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: 1-9 - [c156]Ruiyuan Gao, Chenchen Zhao, Lanqing Hong, Qiang Xu:
DiffGuard: Semantic Mismatch-Guided Out-of-Distribution Detection using Pre-trained Diffusion Models. ICCV 2023: 1579-1589 - [c155]Xuan Ju, Ailing Zeng, Chenchen Zhao, Jianan Wang, Lei Zhang, Qiang Xu:
HumanSD: A Native Skeleton-Guided Diffusion Model for Human Image Generation. ICCV 2023: 15942-15952 - [c154]Yu Li, Qiang Xu:
Towards Robust Deep Neural Networks Against Design-Time and Run-Time Failures. ITC 2023: 196-205 - [c153]Muxi Chen, Yu Li, Qiang Xu:
HiBug: On Human-Interpretable Model Debug. NeurIPS 2023 - [i44]Muxi Chen, Zhijian Xu, Ailing Zeng, Qiang Xu:
FrAug: Frequency Domain Augmentation for Time Series Forecasting. CoRR abs/2302.09292 (2023) - [i43]Xiangyu Wen, Yu Li, Wei Jiang, Qiang Xu:
On Function-Coupled Watermarks for Deep Neural Networks. CoRR abs/2302.10296 (2023) - [i42]Sadaf Khan, Zhengyuan Shi, Min Li, Qiang Xu:
DeepSeq: Deep Sequential Circuit Learning. CoRR abs/2302.13608 (2023) - [i41]Xuan Ju, Ailing Zeng, Jianan Wang, Qiang Xu, Lei Zhang:
Human-Art: A Versatile Human-Centric Dataset Bridging Natural and Artificial Scenes. CoRR abs/2303.02760 (2023) - [i40]Xuan Ju, Ailing Zeng, Chenchen Zhao, Jianan Wang, Lei Zhang, Qiang Xu:
HumanSD: A Native Skeleton-Guided Diffusion Model for Human Image Generation. CoRR abs/2304.04269 (2023) - [i39]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. CoRR abs/2305.16373 (2023) - [i38]Zhijian Xu, Ailing Zeng, Qiang Xu:
FITS: Modeling Time Series with 10k Parameters. CoRR abs/2307.03756 (2023) - [i37]Ruiyuan Gao, Chenchen Zhao, Lanqing Hong, Qiang Xu:
DiffGuard: Semantic Mismatch-Guided Out-of-Distribution Detection using Pre-trained Diffusion Models. CoRR abs/2308.07687 (2023) - [i36]Xuan Ju, Ailing Zeng, Yuxuan Bian, Shaoteng Liu, Qiang Xu:
Direct Inversion: Boosting Diffusion-based Editing with 3 Lines of Code. CoRR abs/2310.01506 (2023) - [i35]Ruiyuan Gao, Kai Chen, Enze Xie, Lanqing Hong, Zhenguo Li, Dit-Yan Yeung, Qiang Xu:
MagicDrive: Street View Generation with Diverse 3D Geometry Control. CoRR abs/2310.02601 (2023) - [i34]Yijun Yang, Ruiyuan Gao, Xiaosen Wang, Nan Xu, Qiang Xu:
MMA-Diffusion: MultiModal Attack on Diffusion Models. CoRR abs/2311.17516 (2023) - [i33]Ziyang Zheng, Ruiyuan Gao, Qiang Xu:
Non-Cross Diffusion for Semantic Consistency. CoRR abs/2312.00820 (2023) - 2022
- [c152]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: 61-66 - [c151]Min Li, Sadaf Khan, Zhengyuan Shi, Naixing Wang, Huang Yu, Qiang Xu:
DeepGate: learning neural representations of logic gates. DAC 2022: 667-672 - [c150]Yijun Yang, Ruiyuan Gao, Qiang Xu:
Out-of-Distribution Detection with Semantic Mismatch Under Masking. ECCV (24) 2022: 373-390 - [c149]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: 607-624 - [c148]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: 625-642 - [c147]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 - [c146]Yu Li, Muxi Chen, Qiang Xu:
HybridRepair: towards annotation-efficient repair for deep learning models. ISSTA 2022: 227-238 - [c145]Zhengyuan Shi, Min Li, Sadaf Khan, Liuzheng Wang, Naixing Wang, Yu Huang, Qiang Xu:
DeepTPI: Test Point Insertion with Deep Reinforcement Learning. ITC 2022: 194-203 - [c144]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 - [c143]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 - [i32]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 abs/2201.09650 (2022) - [i31]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 abs/2203.08713 (2022) - [i30]Ailing Zeng, Muxi Chen, Lei Zhang, Qiang Xu:
Are Transformers Effective for Time Series Forecasting? CoRR abs/2205.13504 (2022) - [i29]Min Li, Zhengyuan Shi, Qiuxia Lai, Sadaf Khan, Qiang Xu:
DeepSAT: An EDA-Driven Learning Framework for SAT. CoRR abs/2205.13745 (2022) - [i28]Zhengyuan Shi, Min Li, Sadaf Khan, Liuzheng Wang, Naixing Wang, Yu Huang, Qiang Xu:
DeepTPI: Test Point Insertion with Deep Reinforcement Learning. CoRR abs/2206.06975 (2022) - [i27]Yijun Yang, Ruiyuan Gao, Qiang Xu:
Out-of-Distribution Detection with Semantic Mismatch under Masking. CoRR abs/2208.00446 (2022) - [i26]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 abs/2209.00005 (2022) - [i25]Zhengyuan Shi, Min Li, Sadaf Khan, Hui-Ling Zhen, Mingxuan Yuan, Qiang Xu:
SATformer: Transformers for SAT Solving. CoRR abs/2209.00953 (2022) - [i24]Yu Li, Muxi Chen, Yannan Liu, Daojing He, Qiang Xu:
An Empirical Study on the Efficacy of Deep Active Learning for Image Classification. CoRR abs/2212.03088 (2022) - 2021
- [c142]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: 1-10 - [c141]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: 409-414 - [c140]Ailing Zeng, Xiao Sun, Lei Yang, Nanxuan Zhao, Minhao Liu, Qiang Xu:
Learning Skeletal Graph Neural Networks for Hard 3D Pose Estimation. ICCV 2021: 11416-11425 - [c139]Qiuxia Lai, Yu Li, Ailing Zeng, Minhao Liu, Hanqiu Sun, Qiang Xu:
Information Bottleneck Approach to Spatial Attention Learning. IJCAI 2021: 779-785 - [c138]Min Li, Zhengyuan Shi, Zezhong Wang, Weiwei Zhang, Yu Huang, Qiang Xu:
Testability-Aware Low Power Controller Design with Evolutionary Learning. ITC 2021: 324-328 - [c137]Yu Li, Min Li, Qiuxia Lai, Yannan Liu, Qiang Xu:
TestRank: Bringing Order into Unlabeled Test Instances for Deep Learning Tasks. NeurIPS 2021: 20874-20886 - [c136]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: 1-6 - [i23]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 abs/2104.10076 (2021) - [i22]Yunyan Hong, Ailing Zeng, Min Li, Cewu Lu, Li Jiang, Qiang Xu:
Skimming and Scanning for Untrimmed Video Action Recognition. CoRR abs/2104.10492 (2021) - [i21]Min Li, Yu Li, Ye Tian, Li Jiang, Qiang Xu:
AppealNet: An Efficient and Highly-Accurate Edge/Cloud Collaborative Architecture for DNN Inference. CoRR abs/2105.04104 (2021) - [i20]Yu Li, Min Li, Qiuxia Lai, Yannan Liu, Qiang Xu:
TestRank: Bringing Order into Unlabeled Test Instances for Deep Learning Tasks. CoRR abs/2105.10113 (2021) - [i19]Ailing Zeng, Minhao Liu, Zhiwei Liu, Ruiyuan Gao, Qiang Xu:
Hop-Aware Dimension Optimization for Graph Neural Networks. CoRR abs/2105.14490 (2021) - [i18]Minhao Liu, Ailing Zeng, Qiuxia Lai, Qiang Xu:
Time Series is a Special Sequence: Forecasting with Sample Convolution and Interaction. CoRR abs/2106.09305 (2021) - [i17]Qiuxia Lai, Yu Li, Ailing Zeng, Minhao Liu, Hanqiu Sun, Qiang Xu:
Information Bottleneck Approach to Spatial Attention Learning. CoRR abs/2108.03418 (2021) - [i16]Ailing Zeng, Xiao Sun, Lei Yang, Nanxuan Zhao, Minhao Liu, Qiang Xu:
Learning Skeletal Graph Neural Networks for Hard 3D Pose Estimation. CoRR abs/2108.07181 (2021) - [i15]Min Li, Zhengyuan Shi, Zezhong Wang, Weiwei Zhang, Yu Huang, Qiang Xu:
Testability-Aware Low Power Controller Design with Evolutionary Learning. CoRR abs/2111.13332 (2021) - [i14]Min Li, Sadaf Khan, Zhengyuan Shi, Naixing Wang, Yu Huang, Qiang Xu:
Representation Learning of Logic Circuits. CoRR abs/2111.14616 (2021) - [i13]Minhao Liu, Zhijian Xu, Qiang Xu:
DeepFIB: Self-Imputation for Time Series Anomaly Detection. CoRR abs/2112.06247 (2021) - [i12]Ailing Zeng, Lei Yang, Xuan Ju, Jiefeng Li, Jianyi Wang, Qiang Xu:
SmoothNet: A Plug-and-Play Network for Refining Human Poses in Videos. CoRR abs/2112.13715 (2021) - 2020
- [j33]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: 107139 (2020) - [j32]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): 991-1002 (2020) - [c135]Yu Li, Min Li, Bo Luo, Ye Tian, Qiang Xu:
DeepDyve: Dynamic Verification for Deep Neural Networks. CCS 2020: 101-112 - [c134]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: 507-523 - [c133]Bo Luo, Min Li, Yu Li, Qiang Xu:
On Configurable Defense against Adversarial Example Attacks. ACM Great Lakes Symposium on VLSI 2020: 543-548 - [c132]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: 418-427 - [i11]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 abs/2007.09389 (2020) - [i10]Yu Li, Min Li, Bo Luo, Ye Tian, Qiang Xu:
DeepDyve: Dynamic Verification for Deep Neural Networks. CoRR abs/2009.09663 (2020) - [i9]Minhao Liu, Ailing Zeng, Qiuxia Lai, Qiang Xu:
T-WaveNet: Tree-Structured Wavelet Neural Network for Sensor-Based Time Series Analysis. CoRR abs/2012.05456 (2020)
2010 – 2019
- 2019
- [j31]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): 59:1-59:25 (2019) - [c131]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: 138-147 - [c130]Bo Luo, Yu Li, Lingxiao Wei, Qiang Xu:
On Functional Test Generation for Deep Neural Network IPs. DATE 2019: 1010-1015 - [c129]Ye Tian, Min Li, Qiang Xu:
Lightweight prediction based big/little design for efficient neural network inference. SEC 2019: 356 - [i8]Bo Luo, Yu Li, Lingxiao Wei, Qiang Xu:
On Functional Test Generation for Deep Neural Network IPs. CoRR abs/1911.11550 (2019) - [i7]Bo Luo, Qiang Xu:
Region-Wise Attack: On Efficient Generation of Robust Physical Adversarial Examples. CoRR abs/1912.02598 (2019) - [i6]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 abs/1912.04071 (2019) - 2018
- [j30]Qiang Han, Qiang Xu, Wen-Ben Jone:
SERA: statistical error rate analysis for profit-oriented performance binning of resilient circuits. Integr. 60: 1-12 (2018) - [j29]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): 1370-1383 (2018) - [c128]Bo Luo, Yannan Liu, Lingxiao Wei, Qiang Xu:
Towards Imperceptible and Robust Adversarial Example Attacks Against Neural Networks. AAAI 2018: 1652-1659 - [c127]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: 393-406 - [c126]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: 289 - [c125]Ye Tian, Qian Zhang, Ting Wang, Qiang Xu:
Lookup table allocation for approximate computing with memory under quality constraints. DATE 2018: 153-158 - [c124]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: 50 - [c123]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: 961-973 - [i5]Bo Luo, Yannan Liu, Lingxiao Wei, Qiang Xu:
Towards Imperceptible and Robust Adversarial Example Attacks against Neural Networks. CoRR abs/1801.04693 (2018) - [i4]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 abs/1803.05847 (2018) - [i3]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 abs/1810.08379 (2018) - [i2]Bo Luo, Min Li, Yu Li, Qiang Xu:
On Configurable Defense against Adversarial Example Attacks. CoRR abs/1812.02737 (2018) - [i1]Fuyang Huang, Ailing Zeng, Minhao Liu, Jing Qin, Qiang Xu:
Structure-Aware 3D Hourglass Network for Hand Pose Estimation from Single Depth Image. CoRR abs/1812.10320 (2018) - 2017
- [c122]Ye Tian, Qiang Xu, Jason Xue:
On efficient message passing in energy harvesting based distributed system. ASP-DAC 2017