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Qiang Hu
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Other persons with the same name
- Qiang Hu 0001 — Georgia Institute of Technology, Atlanta, GA, USA
- Qiang Hu 0002 — Qingdao University of Science and Technology, School of Information Science and Technology, China
- Qiang Hu 0003 — ShanghaiTech University, China
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Journal Articles
- 2024
- [j61]Qian Liu, Qiang Hu, Song Liu, Alan David Hutson, Martin Morgan:
ReUseData: an R/Bioconductor tool for reusable and reproducible genomic data management. BMC Bioinform. 25(1): 8 (2024) - [j60]Hexuan Hu, Jianyu Zhang, Tianjin Yang, Qiang Hu, Yufeng Yu, Qian Huang:
CNAC-Seg: Effective segmentation for cervical nuclei in adherent cells and clusters via exploring gaps of receptive fields. Biomed. Signal Process. Control. 90: 105833 (2024) - [j59]Wenjin Zuo, Dejian Yu, Qiang Hu, Lijun Liu:
A big data quality evaluation method based on group heterogeneity rationality perception information fusion. Comput. Ind. Eng. 190: 110009 (2024) - [j58]Hexuan Hu, Jianyu Zhang, Tianjin Yang, Qiang Hu, Yufeng Yu, Qian Huang:
PATrans: Pixel-Adaptive Transformer for edge segmentation of cervical nuclei on small-scale datasets. Comput. Biol. Medicine 168: 107823 (2024) - [j57]Yueyuan Zhou, ZiYi Ren, En Shao, Lixian Ma, Qiang Hu, Leping Wang, Guangming Tan:
FILL: a heterogeneous resource scheduling system addressing the low throughput problem in GROMACS. CCF Trans. High Perform. Comput. 6(1): 17-31 (2024) - [j56]Qiang Hu, Haoquan Qi, Yanzhe Jia, Lianen Qu:
A two-phase method to optimize service composition in cloud manufacturing. Computing 106(7): 2261-2291 (2024) - [j55]Qiang Hu, Lanqian Xiang, Aiwen Lin, Yingyue Hou, Yunchuan Dai:
Exploring the spatial configuration of tourism resources through ecosystem services and ethnic minority villages. Ecol. Informatics 79: 102426 (2024) - [j54]Xueqi Dang, Yinghua Li, Wei Ma, Yuejun Guo, Qiang Hu, Mike Papadakis, Maxime Cordy, Yves Le Traon:
Towards Exploring the Limitations of Test Selection Techniques on Graph Neural Networks: An Empirical Study. Empir. Softw. Eng. 29(5): 112 (2024) - [j53]Yuchen Pan, Yuanyuan Shang, Tie Liu, Zhuhong Shao, Guodong Guo, Hui Ding, Qiang Hu:
Spatial-Temporal Attention Network for Depression Recognition from facial videos. Expert Syst. Appl. 237(Part B): 121410 (2024) - [j52]He-xuan Hu, Chengcheng Cao, Qiang Hu, Ye Zhang:
Federated learning enabled graph convolutional autoencoder and factorization machine for potential friendship prediction in social networks. Inf. Fusion 102: 102042 (2024) - [j51]He-Xuan Hu, Chengcheng Cao, Qiang Hu, Ye Zhang, Zhen-Zhou Lin:
A Real-Time Bearing Fault Diagnosis Model Based on Siamese Convolutional Autoencoder in Industrial Internet of Things. IEEE Internet Things J. 11(3): 3820-3831 (2024) - [j50]Zeming Dong, Qiang Hu, Zhenya Zhang, Yuejun Guo, Maxime Cordy, Mike Papadakis, Yves Le Traon, Jianjun Zhao:
On the effectiveness of hybrid pooling in mixup-based graph learning for language processing. J. Syst. Softw. 216: 112139 (2024) - [j49]Zeming Dong, Qiang Hu, Zhenya Zhang, Jianjun Zhao:
On the effectiveness of graph data augmentation for source code learning. Knowl. Based Syst. 285: 111328 (2024) - [j48]Moufu Kong, Hongfei Deng, Yingzhi Luo, Jiayan Zhu, Bo Yi, Hongqiang Yang, Qiang Hu, Fanxin Meng:
Investigations of SiC lateral MOSFET with high-k and equivalent variable lateral doping techniques. Microelectron. J. 150: 106261 (2024) - [j47]Limei Song, Qiang Hu, Weijing Shu, Yangang Yang:
An optimized visual measurement method for cell parallelism based on edge-aware dynamic re-weighted U-Net (EADRU-Net). Signal Image Video Process. 18(8-9): 6211-6220 (2024) - [j46]Guangsi Zhang, Xuehe Wang, Jiaping Xie, Qiang Hu:
A Mechanistic Study of Enterprise Digital Intelligence Transformation, Innovation Resilience, and Firm Performance. Syst. 12(6): 186 (2024) - [j45]Zhuojin Han, Yuanyuan Shang, Zhuhong Shao, Jingyi Liu, Guodong Guo, Tie Liu, Hui Ding, Qiang Hu:
Spatial-Temporal Feature Network for Speech-Based Depression Recognition. IEEE Trans. Cogn. Dev. Syst. 16(1): 308-318 (2024) - [j44]Hexuan Hu, Zhen-Zhou Lin, Qiang Hu, Ye Zhang, Wei Wei, Wei Wang:
Multi-Source Information Fusion Based DLaaS for Traffic Flow Prediction. IEEE Trans. Computers 73(4): 994-1003 (2024) - [j43]Xu Yu, Qinglong Peng, Hongwu Lv, Dingjia Zhan, Qiang Hu, Junwei Du, Dunwei Gong:
A Privacy-Preserving Cross-Domain Recommendation Algorithm for Industrial IoT Devices. IEEE Trans. Consumer Electron. 70(1): 227-237 (2024) - [j42]He-Xuan Hu, Qiang Hu, Guoping Tan, Ye Zhang, Zhen-Zhou Lin:
A Multi-Layer Model Based on Transformer and Deep Learning for Traffic Flow Prediction. IEEE Trans. Intell. Transp. Syst. 25(1): 443-451 (2024) - [j41]Qiang Hu, Yuejun Guo, Xiaofei Xie, Maxime Cordy, Mike Papadakis, Yves Le Traon:
LaF: Labeling-free Model Selection for Automated Deep Neural Network Reusing. ACM Trans. Softw. Eng. Methodol. 33(1): 25:1-25:28 (2024) - [j40]Yuejun Guo, Qiang Hu, Xiaofei Xie, Maxime Cordy, Mike Papadakis, Yves Le Traon:
KAPE: kNN-based Performance Testing for Deep Code Search. ACM Trans. Softw. Eng. Methodol. 33(2): 48:1-48:24 (2024) - [j39]Qiang Hu, Yuejun Guo, Xiaofei Xie, Maxime Cordy, Lei Ma, Mike Papadakis, Yves Le Traon:
Test Optimization in DNN Testing: A Survey. ACM Trans. Softw. Eng. Methodol. 33(4): 111:1-111:42 (2024) - [j38]Qiang Hu, Yuejun Guo, Xiaofei Xie, Maxime Cordy, Lei Ma, Mike Papadakis, Yves Le Traon:
Active Code Learning: Benchmarking Sample-Efficient Training of Code Models. IEEE Trans. Software Eng. 50(5): 1080-1095 (2024) - 2023
- [j37]Chen Zong, Pengfei Wang, Dong-Ming Yan, Shuang-Min Chen, Shiqing Xin, Changhe Tu, Qiang Hu:
Parallel Post-processing of Restricted Voronoi Diagram on Thin Sheet Models. Comput. Aided Des. 159: 103511 (2023) - [j36]Wenjin Zuo, Lijun Liu, Qiang Hu, Shouzhen Zeng, Zhiming Hu:
A property perceived service quality evaluation method for public buildings based on multisource heterogeneous information fusion. Eng. Appl. Artif. Intell. 122: 106070 (2023) - [j35]Qiang Hu, Haoquan Qi, Wen Huang, Minghua Liu:
A method to recommend cloud manufacturing service based on the spectral clustering and improved Slope one algorithm. J. Cloud Comput. 12(1): 115 (2023) - [j34]He-Xuan Hu, Yi Feng, Qiang Hu, Ye Zhang:
A Masked One-Dimensional Convolutional Autoencoder for Bearing Fault Diagnosis Based on Digital Twin Enabled Industrial Internet of Things. IEEE J. Sel. Areas Commun. 41(10): 3242-3253 (2023) - [j33]Junde Wu, Huihui Fang, Fei Li, Huazhu Fu, Fengbin Lin, Jiongcheng Li, Yue Huang, Qinji Yu, Sifan Song, Xinxing Xu, Yanyu Xu, Wensai Wang, Lingxiao Wang, Shuai Lu, Huiqi Li, Shihua Huang, Zhichao Lu, Chubin Ou, Xifei Wei, Bingyuan Liu, Riadh Kobbi, Xiaoying Tang, Li Lin, Qiang Zhou, Qiang Hu, Hrvoje Bogunovic, José Ignacio Orlando, Xiulan Zhang, Yanwu Xu:
GAMMA challenge: Glaucoma grAding from Multi-Modality imAges. Medical Image Anal. 90: 102938 (2023) - [j32]Yuejun Guo, Qiang Hu, Maxime Cordy, Michail Papadakis, Yves Le Traon:
DRE: density-based data selection with entropy for adversarial-robust deep learning models. Neural Comput. Appl. 35(5): 4009-4026 (2023) - [j31]Jian Li, Linyuan Jin, Zhiyuan Wang, Qinghai Peng, Yueai Wang, Jia Luo, Jiawei Zhou, Yingying Cao, Yanfen Zhang, Min Zhang, Yuewen Qiu, Qiang Hu, Liyun Chen, Xiaoyu Yu, Xiaohui Zhou, Qiong Li, Shu Zhou, Si Huang, Dan Luo, Xingxing Mao, Yi Yu, Xiaomeng Yang, Chiling Pan, Hongxin Li, Jingchao Wang, Jieke Liao:
Towards precision medicine based on a continuous deep learning optimization and ensemble approach. npj Digit. Medicine 6 (2023) - [j30]Qiang Hu, Feifei Gao, Hao Zhang, Geoffrey Ye Li, Zongben Xu:
Understanding Deep MIMO Detection. IEEE Trans. Wirel. Commun. 22(12): 9626-9639 (2023) - 2022
- [j29]Hexuan Hu, Zhen-Zhou Lin, Qiang Hu, Ye Zhang:
Potential friendship discovery in social networks based on hybrid ensemble multiple collaborative filtering models in a 5G network environment. Digit. Commun. Networks 8(6): 868-876 (2022) - [j28]Jing Chen, Mengqi Li, Wensi Lin, Yinzhou Zhao, Mengyue Zhang, Han Chen, Qiang Hu, Yongqing Xie:
Simple but Beautiful: A Case Study on the ZHI Project of Traditional Craftsmanship. Digit. Humanit. Q. 16(2) (2022) - [j27]Hanlin Wang, Jinshan Zhong, Yingfan Xu, Gai Luo, Boyu Jiang, Qiang Hu, Yucheng Lin, Jianghong Ran:
Automatically detecting the wild giant panda using deep learning with context and species distribution model. Ecol. Informatics 72: 101868 (2022) - [j26]Qiang Hu, Tingyuan Lou, Jicai Li, Wenjin Zuo, Xihui Chen, Lindong Ma:
New Practice of E-Commerce Platform: Evidence from Two Trade-In Programs. J. Theor. Appl. Electron. Commer. Res. 17(3): 875-892 (2022) - [j25]Xu Yu, Qiang Hu, Hui Li, Junwei Du, Jia Gao, Lijun Sun:
Cross-domain recommendation based on latent factor alignment. Neural Comput. Appl. 34(5): 3421-3432 (2022) - [j24]Hexuan Hu, Zhen-Zhou Lin, Qiang Hu, Ye Zhang:
Attention Mechanism With Spatial-Temporal Joint Model for Traffic Flow Speed Prediction. IEEE Trans. Intell. Transp. Syst. 23(9): 16612-16621 (2022) - [j23]Qiang Hu, Hao Zhang, Feifei Gao, Chengwen Xing, Jianping An:
Analysis on the Number of Linear Regions of Piecewise Linear Neural Networks. IEEE Trans. Neural Networks Learn. Syst. 33(2): 644-653 (2022) - [j22]Qiang Hu, Yuejun Guo, Maxime Cordy, Xiaofei Xie, Lei Ma, Mike Papadakis, Yves Le Traon:
An Empirical Study on Data Distribution-Aware Test Selection for Deep Learning Enhancement. ACM Trans. Softw. Eng. Methodol. 31(4): 78:1-78:30 (2022) - [j21]Hexuan Hu, Lizhi Wang, Qiang Hu, Yongxi Bu, Ye Zhang:
Deep-Learning-Based Mobile Group Intelligence Perception Mechanism Oriented to User Privacy and Data Security in the Internet of Things. IEEE Wirel. Commun. 29(2): 60-67 (2022) - 2021
- [j20]Qiang Hu, Alan David Hutson, Song Liu, Martin Morgan, Qian Liu:
Bioconductor toolchain for reproducible bioinformatics pipelines using Rcwl and RcwlPipelines. Bioinform. 37(19): 3351-3352 (2021) - [j19]Zhousheng Ruan, Qiang Hu, Wen Zhang:
Identification of a time-dependent control parameter for a stochastic diffusion equation. Comput. Appl. Math. 40(6) (2021) - [j18]Xin Chen, Xiaoyu Liu, Ying Zhang, Yongxin Shan, Qiang Hu, Jun Li, Shiqi Lan:
Z-domain modeling methodology for homodyne digital optical phase-locked loop. IEICE Electron. Express 18(10): 20210078 (2021) - [j17]Hao Jian, Yufeng Gao, Fanchao Dai, Jiajian Liu, Xinxing Xu, Cenxi Yuan, Kazunari Kaneko, Yang Sun, Pengfei Liang, Guozhu Shi, Lijie Sun, Latsamy Xayavong, Chengjian Lin, Jenny Lee, Zhihuan Li, Yanyun Yang, Pengjie Li, Rui Fan, Sixian Zha, Haofan Zhu, Jinhai Li, Qirui Gao, Zhaozhan Zhang, Ruofu Chen, Jiansong Wang, Dongxi Wang, Hongyi Wu, Kang Wang, Yihua Lam, Fangfang Duan, Peng Ma, Zhihao Gao, Qiang Hu, Zhen Bai, Junbing Ma, Jianguo Wang, Fupeng Zhong, Chenguang Wu, Diwen Luo, Ying Jiang, Yang Liu, Dongsheng Hou, Ren Li, Nanru Ma, Weihu Ma, Gongming Yu, Dipika Patel, Shuya Jin, Yufeng Wang, Yuechao Yu, Qingwu Zhou, Peng Wang, Liyuan Hu, Xiang Wang, Hongliang Zang, Qingqing Zhao, Lei Yang, Peiwei Wen, Feng Yang, Huiming Jia, Gaolong Zhang, Min Pan, Xiaoyu Wang, Haohan Sun, Meng Wang, Zhengguo Hu, Xiaohong Zhou, Yuhu Zhang, Hushan Xu, Minliang Liu, Hooi-Jin Ong, Weiqing Yang:
β-Delayed γ Emissions of 26P and Its Mirror Asymmetry. Symmetry 13(12): 2278 (2021) - [j16]He-Xuan Hu, Wen-Jie Mao, Zhen-Zhou Lin, Qiang Hu, Ye Zhang:
Multimodal Brain Tumor Segmentation Based on an Intelligent UNET-LSTM Algorithm in Smart Hospitals. ACM Trans. Internet Techn. 21(3): 74:1-74:14 (2021) - [j15]Qiang Hu, Feifei Gao, Hao Zhang, Shi Jin, Geoffrey Ye Li:
Deep Learning for Channel Estimation: Interpretation, Performance, and Comparison. IEEE Trans. Wirel. Commun. 20(4): 2398-2412 (2021) - 2019
- [j14]Bernard Vattepu Benson, W. David Pan, G. Allen Gary, Qiang Hu, Tyler Staudinger:
Determining the parameter for the linear force-free magnetic field model with multi-dipolar configurations using deep neural networks. Astron. Comput. 26: 50-60 (2019) - [j13]Yun Lin, Qiang Hu:
Preprocessed Compressive Adaptive Sense and Search Algorithm. Circuits Syst. Signal Process. 38(2): 918-929 (2019) - [j12]Qian Liu, Qiang Hu, Song Yao, Marilyn L. Kwan, Janise M. Roh, Hua Zhao, Christine B. Ambrosone, Lawrence H. Kushi, Song Liu, Qianqian Zhu:
SeqSQC: A Bioconductor Package for Evaluating the Sample Quality of Next-generation Sequencing Data. Genom. Proteom. Bioinform. 17(2): 211-218 (2019) - 2018
- [j11]Changjun Li, Bo Li, Qiang Hu:
Cycle time prediction and improvement of chipset assembly and test production line based on variability. Prod. Eng. 12(3-4): 319-330 (2018) - 2017
- [j10]Xing Ren, Qiang Hu, Song Liu, Jianmin Wang, Jeffrey C. Miecznikowski:
Gene set analysis controlling for length bias in RNA-seq experiments. BioData Min. 10(1): 5:1-5:18 (2017) - [j9]Yajun Du, Chenxing Li, Qiang Hu, Xiaolei Li, Xiaoliang Chen:
Ranking webpages using a path trust knowledge graph. Neurocomputing 269: 58-72 (2017) - 2016
- [j8]Qiang Hu, Xiaoyan Hao, Lei Lei:
基于遗传算法和BP神经网络的孤立性肺结节分类算法 (Solitary Pulmonary Nodules Classification Based on Genetic Algorithm and Back Propagation Neural Networks). 计算机科学 43(Z6): 37-39 (2016) - [j7]Qiang Hu, Mugen Peng, Zhendong Mao, Xinqian Xie, H. Vincent Poor:
Training Design for Channel Estimation in Uplink Cloud Radio Access Networks. IEEE Trans. Signal Process. 64(13): 3324-3337 (2016) - 2015
- [j6]Maochun Qin, Biao Liu, Jeffrey M. Conroy, Carl D. Morrison, Qiang Hu, Yubo Cheng, Mitsuko Murakami, Adekunle O. Odunsi, Candace S. Johnson, Lei Wei, Song Liu, Jianmin Wang:
SCNVSim: somatic copy number variation and structure variation simulator. BMC Bioinform. 16: 66:1-66:6 (2015) - [j5]Lingnan Ma, Maochun Qin, Biao Liu, Qiang Hu, Lei Wei, Jianmin Wang, Song Liu:
cnvCurator: an interactive visualization and editing tool for somatic copy number variations. BMC Bioinform. 16: 331:1-331:8 (2015) - [j4]Mugen Peng, Qiang Hu, Xinqian Xie, Zhongyuan Zhao, H. Vincent Poor:
Network Coded Multihop Wireless Communication Networks: Channel Estimation and Training Design. IEEE J. Sel. Areas Commun. 33(2): 281-294 (2015) - [j3]Mugen Peng, Xinqian Xie, Qiang Hu, Jie Zhang, H. Vincent Poor:
Contract-Based Interference Coordination in Heterogeneous Cloud Radio Access Networks. IEEE J. Sel. Areas Commun. 33(6): 1140-1153 (2015) - 2013
- [j2]Qiang Hu, Jun Zheng:
Weight Pick: an efficient packet selection algorithm for network coding based multicast retransmission in mobile communication networks. Wirel. Networks 19(3): 363-372 (2013) - 2012
- [j1]Dan Wang, Li Yan, Qiang Hu, Lara E. Sucheston, Michael J. Higgins, Christine B. Ambrosone, Candace S. Johnson, Dominic J. Smiraglia, Song Liu:
IMA: an R package for high-throughput analysis of Illumina's 450K Infinium methylation data. Bioinform. 28(5): 729-730 (2012)
Conference and Workshop Papers
- 2024
- [c53]Yuteng Ye, Hang Zhou, Jiale Cai, Chenxing Gao, Youjia Zhang, Junle Wang, Qiang Hu, Junqing Yu, Wei Yang:
Dynamic Feature Pruning and Consolidation for Occluded Person Re-identification. AAAI 2024: 6684-6692 - [c52]Liao Wang, Kaixin Yao, Chengcheng Guo, Zhirui Zhang, Qiang Hu, Jingyi Yu, Lan Xu, Minye Wu:
VideoRF: Rendering Dynamic Radiance Fields as 2D Feature Video Streams. CVPR 2024: 470-481 - [c51]Yuejun Guo, Constantinos Patsakis, Qiang Hu, Qiang Tang, Fran Casino:
Outside the Comfort Zone: Analysing LLM Capabilities in Software Vulnerability Detection. ESORICS (1) 2024: 271-289 - [c50]Wenchao Li, Qiang Hu:
News Sequence Recommendation Model with Dual-View Category Enhancement. ICIC (LNAI 3) 2024: 90-101 - [c49]Songsong Ling, Bin Tang, Ye Tao, Qiang Hu, Junwei Du, Xu Yu:
Cross-Project Software Defect Prediction Based on Feature Selection and Knowledge Distillation. ICIC (5) 2024: 137-149 - [c48]Qiang Hu, Zhenyu Yi, Ying Zhou, Fang Peng, Mei Liu, Qiang Li, Zhiwei Wang:
SALI: Short-Term Alignment and Long-Term Interaction Network for Colonoscopy Video Polyp Segmentation. MICCAI (6) 2024: 531-541 - 2023
- [c47]Qiang Hu, Yuejun Guo, Maxime Cordy, Xiaofei Xie, Wei Ma, Mike Papadakis, Yves Le Traon:
Towards Understanding Model Quantization for Reliable Deep Neural Network Deployment. CAIN 2023: 56-67 - [c46]Liao Wang, Qiang Hu, Qihan He, Ziyu Wang, Jingyi Yu, Tinne Tuytelaars, Lan Xu, Minye Wu:
Neural Residual Radiance Fields for Streamably Free-Viewpoint Videos. CVPR 2023: 76-87 - [c45]Zeming Dong, Qiang Hu, Zhenya Zhang, Jianjun Zhao:
On the Effectiveness of Graph Data Augmentation for Source Code Learning. DSA 2023: 880-889 - [c44]Jie Zhang, Wei Ma, Qiang Hu, Shangqing Liu, Xiaofei Xie, Yves Le Traon, Yang Liu:
A Black-Box Attack on Code Models via Representation Nearest Neighbor Search. EMNLP (Findings) 2023: 9706-9716 - [c43]Yuejun Guo, Qiang Hu, Qiang Tang, Yves Le Traon:
An Empirical Study of the Imbalance Issue in Software Vulnerability Detection. ESORICS (4) 2023: 371-390 - [c42]Ziyu Wang, Wei Yang, Junming Cao, Qiang Hu, Lan Xu, Junqing Yu, Jingyi Yu:
NeReF: Neural Refractive Field for Fluid Surface Reconstruction and Rendering. ICCP 2023: 1-11 - [c41]Jianyu Zhang, Hexuan Hu, Tianjin Yang, Qiang Hu, Yufeng Yu, Qian Huang:
HR-ASPP: An improved semantic segmentation model of cervical nucleus images with accurate spatial localization and better shape feature extraction based on Deeplabv3+. ICDIP 2023: 16:1-16:8 - [c40]Qiang Hu, Han Liu, Zhi-Hao Chen, Hexuan Hu, Ye Zhang, Zhen-Yun Hu:
Pedestrian target detection on high-speed pavement using improved YOLOv5. ICDIP 2023: 50:1-50:10 - [c39]Qiang Hu, Qi Sun, Zhi-Hao Chen, Hexuan Hu, Ye Zhang, Zhen-Yun Hu:
Rainfall spatiotemporal interpolation method based on CNN-GRU with attention. ICDIP 2023: 73:1-73:9 - [c38]Shaogang Hu, Renwei Li, Qiang Hu, Guanchao Qiao:
ResNet-TCN: A Joint Model for ECG Heartbeat Classification with High Accuracy. ICOIN 2023: 467-471 - [c37]Qiang Hu, Yuejun Guo, Xiaofei Xie, Maxime Cordy, Mike Papadakis, Lei Ma, Yves Le Traon:
CodeS: Towards Code Model Generalization Under Distribution Shift. ICSE (NIER) 2023: 1-6 - [c36]Qiang Hu, Yuejun Guo, Xiaofei Xie, Maxime Cordy, Mike Papadakis, Lei Ma, Yves Le Traon:
Aries: Efficient Testing of Deep Neural Networks via Labeling-Free Accuracy Estimation. ICSE 2023: 1776-1787 - [c35]Qiang Hu, Yuejun Guo, Maxime Cordy, Mike Papadakis, Yves Le Traon:
MUTEN: Mutant-Based Ensembles for Boosting Gradient-Based Adversarial Attack. ASE 2023: 1708-1712 - [c34]Guoqing Pan, Yuan Chang, Haoquan Qi, Qiang Hu:
Web Service Category Recommendation with Feature Word Semantic Enhancement and tag Co-occurrence. NaNA 2023: 686-689 - [c33]Zeming Dong, Qiang Hu, Yuejun Guo, Zhenya Zhang, Jianjun Zhao:
Boosting Source Code Learning with Text-Oriented Data Augmentation: An Empirical Study. QRS Companion 2023: 383-392 - [c32]Zeming Dong, Qiang Hu, Yuejun Guo, Maxime Cordy, Mike Papadakis, Zhenya Zhang, Yves Le Traon, Jianjun Zhao:
MixCode: Enhancing Code Classification by Mixup-Based Data Augmentation. SANER 2023: 379-390 - 2022
- [c31]Hua Fan, Kaicong Dong, Xiuhua Xie, Quanyuan Feng, Qiang Hu:
"Fusion, Interaction, and Training": Cultivating Innovative Leading Talents. APCCAS 2022: 485-488 - [c30]Yuejun Guo, Qiang Hu, Maxime Cordy, Mike Papadakis, Yves Le Traon:
Robust active learning: sample-efficient training of robust deep learning models. CAIN 2022: 41-42 - [c29]Hua Fan, Qianqian Deng, Wei Zhou, Qiang Hu, Shaoyi Hou, Yongneng Xiao, Xiaopeng Diao, Lang Feng:
Exploration of Data Acquisition and Processing Technology Course Education Based on OBE Concept. IGARSS 2022: 4114-4117 - [c28]Qiang Hu, Shaoyi Hou, Yongneng Xiao, Hua Fan, Wei Zhou, Quanyuan Feng, Xiaopeng Diao, Lang Feng, Jianming Liu:
Electronic Circuit Education Innovation: Take Low-pass Filter Teaching as an Example. IGARSS 2022: 4118-4121 - [c27]Hua Fan, Qianqian Deng, Wei Zhou, Quanyuan Feng, Qiang Hu, Shaoyi Hou, Yongneng Xiao, Xiaopeng Diao, Lang Feng, Jianming Liu:
Exploration on the cultivation of innovative talents in electronic circuit. IGARSS 2022: 4126-4129 - [c26]Wei Ma, Mengjie Zhao, Ezekiel O. Soremekun, Qiang Hu, Jie M. Zhang, Mike Papadakis, Maxime Cordy, Xiaofei Xie, Yves Le Traon:
GraphCode2Vec: Generic Code Embedding via Lexical and Program Dependence Analyses. MSR 2022: 524-536 - [c25]Zhiyong Yang, Junwei Du, Qiang Hu, Feng Jiang:
Neighborhood Approximate Reducts-Based Ensemble Learning Algorithm and Its Application in Software Defect Prediction. IJCRS 2022: 100-113 - 2021
- [c24]Qiang Hu, Lixian Ma, En Shao, Guangming Tan:
Building Agile Workflow Microservice System for HPC Applications Based on Fast-start OSv. ICPADS 2021: 522-529 - [c23]Qiang Hu, Yuejun Guo, Maxime Cordy, Xiaofei Xie, Wei Ma, Mike Papadakis, Yves Le Traon:
Towards Exploring the Limitations of Active Learning: An Empirical Study. ASE 2021: 917-929 - [c22]Yundong Zhang, Huiye Liu, Qiang Hu:
TransFuse: Fusing Transformers and CNNs for Medical Image Segmentation. MICCAI (1) 2021: 14-24 - 2020
- [c21]Yang Li, Hua Fan, Quanyuan Feng, Qiang Hu, Lang Hu, Hao Chen, Hadi Heidari:
A Fast Transient Response and High PSR Low Drop-Out Voltage Regulator. ICECS 2020: 1-4 - [c20]Xiyue Zhang, Xiaofei Xie, Lei Ma, Xiaoning Du, Qiang Hu, Yang Liu, Jianjun Zhao, Meng Sun:
Towards characterizing adversarial defects of deep learning software from the lens of uncertainty. ICSE 2020: 739-751 - 2019
- [c19]Qianqian Wang, Tianzhang Xing, Xiaoyan Yin, Qiang Hu, Changyou Liu:
Demo: Urgent Task Assignment for Mutual Help in Mobile Social Networks. EWSN 2019: 276-278 - [c18]Qianyu Guo, Sen Chen, Xiaofei Xie, Lei Ma, Qiang Hu, Hongtao Liu, Yang Liu, Jianjun Zhao, Xiaohong Li:
An Empirical Study Towards Characterizing Deep Learning Development and Deployment Across Different Frameworks and Platforms. ASE 2019: 810-822 - [c17]Qiang Hu, Lei Ma, Xiaofei Xie, Bing Yu, Yang Liu, Jianjun Zhao:
DeepMutation++: A Mutation Testing Framework for Deep Learning Systems. ASE 2019: 1158-1161 - 2018
- [c16]Qiang Hu, Lei Ma, Jianjun Zhao:
DeepGraph: A PyCharm Tool for Visualizing and Understanding Deep Learning Models. APSEC 2018: 628-632 - 2015
- [c15]Qiang Hu, Mugen Peng, Xinqian Xie, Feifei Gao, Dongming Wang:
Segment training based channel estimation and training design in cloud radio access networks. ICC 2015: 4095-4100 - [c14]Yajun Du, Qiang Hu, Xiaolei Li, Xiaoliang Chen, Chenxing Li:
Ranking Web Page with Path Trust Knowledge Graph. IScIDE (2) 2015: 66-75 - [c13]Qiang Hu, Qi Liu, Xiaoli Wang, Anthony K. H. Tung, Shubham Goyal, Jisong Yang:
DocRicher: An Automatic Annotation System for Text Documents Using Social Media. SIGMOD Conference 2015: 901-906 - 2014
- [c12]Qihang Shu, Qiang Hu, Jun Zheng:
CLARET: A Cooperative cLuster-heAd failuRE deTection mechanism for wireless sensor networks. ICC 2014: 48-52 - 2013
- [c11]Qihang Shu, Qiang Hu, Jun Zheng, Nathalie Mitton:
A dependable Slepian-Wolf coding based clustering algorithm for data aggregation in wireless sensor networks. WCSP 2013: 1-6 - 2012
- [c10]Qiang Hu, Jun Zheng:
An efficient network coding based multicast retransmission scheme for mobile communication networks with relays. ICC 2012: 5413-5417 - 2010
- [c9]Qiang Hu, Mingwang Zhang:
A Second-Order Modified Version of Mehrotra-type Predictor-Corrector Algorithm for Convex Quadratic Optimization. ICSI (2) 2010: 430-438 - 2008
- [c8]Qiang Hu, Feng Mao, Jianxi Huang, Weijun Sun, Qiang Li, Wensheng Zhou:
Research on Evolution Process of Riverway in QingKou Region Based on Multi-Temporal Remote Sensing Techniques. IGARSS (1) 2008: 442-445 - [c7]Jianxi Huang, Qiang Hu, Weijun Sun, Feng Mao, Wensheng Zhou:
Assessing Land Cover Performance in the Grand Canal of China using Spot Data - A Case Study of Qingkou Region. IGARSS (4) 2008: 651-654 - [c6]Qiang Li, Feng Mao, Jianxi Huang, Qiang Hu, Wensheng Zhou, Ze Liu:
Extracting Wetland Information Form SPOT5 Imagery in Nansihu Area of Shandong Province. IGARSS (4) 2008: 870-873 - [c5]Qiang Hu, Qiaoliang Li, Xiaoming Wang, Naixue Xiong, Yi Pan:
An Optimal Algorithm for Minimizing Cluster Overlap of ACE. WASA 2008: 397-408 - 2007
- [c4]Qiang Hu, JianChuan Qiu, Gang Song:
Immune Multi-agent Network Intrusion Defense Model. ICNC (3) 2007: 205-209 - 2005
- [c3]Dezhen Song, Qiang Hu, Ni Qin, Ken Goldberg:
Automating inspection and documentation of remote building construction using a robotic camera. CASE 2005: 172-177 - 2004
- [c2]Qiang Hu, Xi Zhang, Debanjan Saha:
Modeling virus and anti-virus dynamics in topology-aware networks. GLOBECOM 2004: 2077-2081 - 2003
- [c1]Cory J. Butz, Qiang Hu, Xue Dong Yang:
Critical Remarks on the Maximal Prime Decomposition of Bayesian Networks. RSFDGrC 2003: 682-685
Informal and Other Publications
- 2024
- [i41]Zeming Dong, Qiang Hu, Xiaofei Xie, Maxime Cordy, Mike Papadakis, Jianjun Zhao:
Importance Guided Data Augmentation for Neural-Based Code Understanding. CoRR abs/2402.15769 (2024) - [i40]Qiang Hu, Zhenyu Yi, Ying Zhou, Ting Li, Fan Huang, Mei Liu, Qiang Li, Zhiwei Wang:
MonoBox: Tightness-free Box-supervised Polyp Segmentation using Monotonicity Constraint. CoRR abs/2404.01188 (2024) - [i39]Qiang Hu, Jin Wen, Maxime Cordy, Yuheng Huang, Xiaofei Xie, Lei Ma:
Enhancing Fault Detection for Large Language Models via Mutation-Based Confidence Smoothing. CoRR abs/2404.14419 (2024) - [i38]Haozhe Cheng, Cheng Ju, Haicheng Wang, Jinxiang Liu, Mengting Chen, Qiang Hu, Xiaoyun Zhang, Yanfeng Wang:
DENOISER: Rethinking the Robustness for Open-Vocabulary Action Recognition. CoRR abs/2404.14890 (2024) - [i37]Qiang Hu, Zhenyu Yi, Ying Zhou, Fang Peng, Mei Liu, Qiang Li, Zhiwei Wang:
SALI: Short-term Alignment and Long-term Interaction Network for Colonoscopy Video Polyp Segmentation. CoRR abs/2406.13532 (2024) - [i36]Yuheng Huang, Jiayang Song, Qiang Hu, Felix Juefei-Xu, Lei Ma:
Active Testing of Large Language Model via Multi-Stage Sampling. CoRR abs/2408.03573 (2024) - [i35]Haoning Wu, Shaocheng Shen, Qiang Hu, Xiaoyun Zhang, Ya Zhang, Yanfeng Wang:
MegaFusion: Extend Diffusion Models towards Higher-resolution Image Generation without Further Tuning. CoRR abs/2408.11001 (2024) - [i34]Yuejun Guo, Constantinos Patsakis, Qiang Hu, Qiang Tang, Fran Casino:
Outside the Comfort Zone: Analysing LLM Capabilities in Software Vulnerability Detection. CoRR abs/2408.16400 (2024) - [i33]Andrey Moskalenko, Alexey Bryncev, Dmitriy S. Vatolin, Radu Timofte, Gen Zhan, Li Yang, Yunlong Tang, Yiting Liao, Jiongzhi Lin, Baitao Huang, Morteza Moradi, Mohammad Moradi, Francesco Rundo, Concetto Spampinato, Ali Borji, Simone Palazzo, Yuxin Zhu, Yinan Sun, Huiyu Duan, Yuqin Cao, Ziheng Jia, Qiang Hu, Xiongkuo Min, Guangtao Zhai, Hao Fang, Runmin Cong, Xiankai Lu, Xiaofei Zhou, Wei Zhang, Chunyu Zhao, Wentao Mu, Tao Deng, Hamed R. Tavakoli:
AIM 2024 Challenge on Video Saliency Prediction: Methods and Results. CoRR abs/2409.14827 (2024) - 2023
- [i32]Zeming Dong, Qiang Hu, Yuejun Guo, Zhenya Zhang, Maxime Cordy, Mike Papadakis, Yves Le Traon, Jianjun Zhao:
Boosting Source Code Learning with Data Augmentation: An Empirical Study. CoRR abs/2303.06808 (2023) - [i31]Liao Wang, Qiang Hu, Qihan He, Ziyu Wang, Jingyi Yu, Tinne Tuytelaars, Lan Xu, Minye Wu:
Neural Residual Radiance Fields for Streamably Free-Viewpoint Videos. CoRR abs/2304.04452 (2023) - [i30]Jie Zhang, Wei Ma, Qiang Hu, Xiaofei Xie, Yves Le Traon, Yang Liu:
RNNS: Representation Nearest Neighbor Search Black-Box Attack on Code Models. CoRR abs/2305.05896 (2023) - [i29]Wei Ma, Shangqing Liu, Wenhan Wang, Qiang Hu, Ye Liu, Cen Zhang, Liming Nie, Yang Liu:
The Scope of ChatGPT in Software Engineering: A Thorough Investigation. CoRR abs/2305.12138 (2023) - [i28]Qiang Hu, Yuejun Guo, Xiaofei Xie, Maxime Cordy, Lei Ma, Mike Papadakis, Yves Le Traon:
Active Code Learning: Benchmarking Sample-Efficient Training of Code Models. CoRR abs/2306.01250 (2023) - [i27]Yuejun Guo, Seifeddine Bettaieb, Qiang Hu, Yves Le Traon, Qiang Tang:
CodeLens: An Interactive Tool for Visualizing Code Representations. CoRR abs/2307.14902 (2023) - [i26]Qiang Hu, Yuejun Guo, Xiaofei Xie, Maxime Cordy, Wei Ma, Mike Papadakis, Yves Le Traon:
Evaluating the Robustness of Test Selection Methods for Deep Neural Networks. CoRR abs/2308.01314 (2023) - [i25]Zhiwei Wang, Qiang Hu, Hongkuan Shi, Li He, Man He, Wenxuan Dai, Ting Li, Yitong Zhang, Dun Li, Mei Liu, Qiang Li:
IBoxCLA: Towards Robust Box-supervised Segmentation of Polyp via Improved Box-dice and Contrastive Latent-anchors. CoRR abs/2310.07248 (2023) - [i24]Liao Wang, Kaixin Yao, Chengcheng Guo, Zhirui Zhang, Qiang Hu, Jingyi Yu, Lan Xu, Minye Wu:
VideoRF: Rendering Dynamic Radiance Fields as 2D Feature Video Streams. CoRR abs/2312.01407 (2023) - 2022
- [i23]Junde Wu, Huihui Fang, Fei Li, Huazhu Fu, Fengbin Lin, Jiongcheng Li, Lexing Huang, Qinji Yu, Sifan Song, Xingxing Xu, Yanyu Xu, Wensai Wang, Lingxiao Wang, Shuai Lu, Huiqi Li, Shihua Huang, Zhichao Lu, Chubin Ou, Xifei Wei, Bingyuan Liu, Riadh Kobbi, Xiaoying Tang, Li Lin, Qiang Zhou, Qiang Hu, Hrvoje Bogunovic, José Ignacio Orlando, Xiulan Zhang, Yanwu Xu:
GAMMA Challenge: Glaucoma grAding from Multi-Modality imAges. CoRR abs/2202.06511 (2022) - [i22]Renjie Zhou, Qiang Hu, Jian Wan, Jilin Zhang, Qiang Liu, Tianxiang Hu, Jianjun Li:
WCL-BBCD: A Contrastive Learning and Knowledge Graph Approach to Named Entity Recognition. CoRR abs/2203.06925 (2022) - [i21]Yuejun Guo, Qiang Hu, Maxime Cordy, Xiaofei Xie, Mike Papadakis, Yves Le Traon:
Labeling-Free Comparison Testing of Deep Learning Models. CoRR abs/2204.03994 (2022) - [i20]Qiang Hu, Yuejun Guo, Maxime Cordy, Xiaofei Xie, Wei Ma, Mike Papadakis, Yves Le Traon:
Characterizing and Understanding the Behavior of Quantized Models for Reliable Deployment. CoRR abs/2204.04220 (2022) - [i19]Qiang Hu, Yuejun Guo, Xiaofei Xie, Maxime Cordy, Lei Ma, Mike Papadakis, Yves Le Traon:
CodeS: A Distribution Shift Benchmark Dataset for Source Code Learning. CoRR abs/2206.05480 (2022) - [i18]Qiang Hu, Yuejun Guo, Xiaofei Xie, Maxime Cordy, Lei Ma, Mike Papadakis, Yves Le Traon:
Efficient Testing of Deep Neural Networks via Decision Boundary Analysis. CoRR abs/2207.10942 (2022) - [i17]Zeming Dong, Qiang Hu, Yuejun Guo, Maxime Cordy, Mike Papadakis, Yves Le Traon, Jianjun Zhao:
Enhancing Code Classification by Mixup-Based Data Augmentation. CoRR abs/2210.03003 (2022) - [i16]Zeming Dong, Qiang Hu, Yuejun Guo, Maxime Cordy, Mike Papadakis, Yves Le Traon, Jianjun Zhao:
Enhancing Mixup-Based Graph Learning for Language Processing via Hybrid Pooling. CoRR abs/2210.03123 (2022) - [i15]Yuteng Ye, Hang Zhou, Junqing Yu, Qiang Hu, Wei Yang:
Dynamic Feature Pruning and Consolidation for Occluded Person Re-Identification. CoRR abs/2211.14742 (2022) - [i14]Wei Ma, Mengjie Zhao, Xiaofei Xie, Qiang Hu, Shangqing Liu, Jie Zhang, Wenhan Wang, Yang Liu:
Is Self-Attention Powerful to Learn Code Syntax and Semantics? CoRR abs/2212.10017 (2022) - 2021
- [i13]Yundong Zhang, Huiye Liu, Qiang Hu:
TransFuse: Fusing Transformers and CNNs for Medical Image Segmentation. CoRR abs/2102.08005 (2021) - [i12]Yuejun Guo, Qiang Hu, Maxime Cordy, Michail Papadakis, Yves Le Traon:
MUTEN: Boosting Gradient-Based Adversarial Attacks via Mutant-Based Ensembles. CoRR abs/2109.12838 (2021) - [i11]Wei Ma, Mengjie Zhao, Ezekiel O. Soremekun, Qiang Hu, Jie Zhang, Mike Papadakis, Maxime Cordy, Xiaofei Xie, Yves Le Traon:
GraphCode2Vec: Generic Code Embedding via Lexical and Program Dependence Analyses. CoRR abs/2112.01218 (2021) - [i10]Yuejun Guo, Qiang Hu, Maxime Cordy, Mike Papadakis, Yves Le Traon:
Robust Active Learning: Sample-Efficient Training of Robust Deep Learning Models. CoRR abs/2112.02542 (2021) - 2020
- [i9]Xiyue Zhang, Xiaofei Xie, Lei Ma, Xiaoning Du, Qiang Hu, Yang Liu, Jianjun Zhao, Meng Sun:
Towards Characterizing Adversarial Defects of Deep Learning Software from the Lens of Uncertainty. CoRR abs/2004.11573 (2020) - 2019
- [i8]Qianyu Guo, Sen Chen, Xiaofei Xie, Lei Ma, Qiang Hu, Hongtao Liu, Yang Liu, Jianjun Zhao, Xiaohong Li:
An Empirical Study towards Characterizing Deep Learning Development and Deployment across Different Frameworks and Platforms. CoRR abs/1909.06727 (2019) - [i7]Qiang Hu, Feifei Gao, Hao Zhang, Shi Jin, Geoffrey Ye Li:
Deep Learning for MIMO Channel Estimation: Interpretation, Performance, and Comparison. CoRR abs/1911.01918 (2019) - 2018
- [i6]Lei Ma, Felix Juefei-Xu, Minhui Xue, Qiang Hu, Sen Chen, Bo Li, Yang Liu, Jianjun Zhao, Jianxiong Yin, Simon See:
Secure Deep Learning Engineering: A Software Quality Assurance Perspective. CoRR abs/1810.04538 (2018) - [i5]Xuetao Xing, Jin Lin, Yonghua Song, Qiang Hu, You Zhou, Shujun Mu:
Optimization of Hydrogen Yield of a High-Temperature Electrolysis System with Coordinated Temperature and Feed Factors at Various Loading Conditions: A Model-Based Study. CoRR abs/1810.06439 (2018) - [i4]Qiang Hu, Hao Zhang:
Nearly-tight bounds on linear regions of piecewise linear neural networks. CoRR abs/1810.13192 (2018) - [i3]Qianyu Guo, Xiaofei Xie, Lei Ma, Qiang Hu, Ruitao Feng, Li Li, Yang Liu, Jianjun Zhao, Xiaohong Li:
An Orchestrated Empirical Study on Deep Learning Frameworks and Platforms. CoRR abs/1811.05187 (2018) - 2015
- [i2]Mugen Peng, Xinqian Xie, Qiang Hu, Jie Zhang, H. Vincent Poor:
Contract-Based Interference Coordination in Heterogeneous Cloud Radio Access Networks. CoRR abs/1503.01191 (2015) - 2014
- [i1]Mugen Peng, Qiang Hu, Xinqian Xie, Zhongyuan Zhao, H. Vincent Poor:
Network Coded Multi-Hop Wireless Communication Networks: Channel Estimation and Training Design. CoRR abs/1412.6680 (2014)
Coauthor Index
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