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ORCIDQiang Hu
This is just a disambiguation page, and is not intended to be the bibliography of an actual person. The links to all actual bibliographies of persons of the same or a similar name can be found below. Any publication listed on this page has not been assigned to an actual author yet. If you know the true author of one of the publications listed below, you are welcome to contact us.
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Other persons with the same name
- Qiang Hu 0001 — Georgia Institute of Technology, Atlanta, GA, USA
- Qiang Hu 0002
![[0000-0001-7642-5660]](https://dblp1.uni-trier.de/img/orcid-mark.12x12.png "0000-0001-7642-5660")
— Qingdao University of Science and Technology, School of Information Science and Technology, China - Qiang Hu 0003 — ShanghaiTech University, China
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2020 – today
- 2025
[j65]Feng Jiang, Qiang Hu, Zhiyong Yang, Jinhuan Liu, Junwei Du:
A neighborhood rough sets-based ensemble method, with application to software fault prediction. Expert Syst. Appl. 264: 125919 (2025)- 2024
- [j64]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) - [j63]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) - [j62]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) - [j61]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) - [j60]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) - [j59]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) - [j58]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) - [j57]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) - [j56]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) - [j55]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) - [j54]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) - [j53]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) - [j52]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) - [j51]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) - [j50]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) - [j49]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) - [j48]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) - [j47]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) - [j46]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) - [j45]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) - [j44]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) - [j43]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) - [j42]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) - [j41]Wei Ma, Shangqing Liu, Mengjie Zhao, Xiaofei Xie, Wenhan Wang, Qiang Hu, Jie Zhang, Yang Liu:
Unveiling Code Pre-Trained Models: Investigating Syntax and Semantics Capacities. ACM Trans. Softw. Eng. Methodol. 33(7): 169:1-169:29 (2024) - [j40]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) - [c54]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 - [c53]Yuqi Sha, Yixuan Jiang, Junwei Du, Qiang Hu, Feng Jiang:
An Ensemble Learning Method Based on Neighborhood Random Super-Reduct for Software Defect Number Prediction. ADMA (2) 2024: 64-80 - [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 - [i44]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) - [i43]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) - [i42]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) - [i41]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) - [i40]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) - [i39]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) - [i38]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) - [i37]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) - [i36]Qiang Hu, Hengxiang Zhang, Hongxin Wei:
Defending Membership Inference Attacks via Privacy-aware Sparsity Tuning. CoRR abs/2410.06814 (2024) - [i35]Hengxiang Zhang, Hongfu Gao, Qiang Hu, Guanhua Chen, Lili Yang, Bingyi Jing, Hongxin Wei, Bing Wang, Haifeng Bai, Lei Yang:
ChineseSafe: A Chinese Benchmark for Evaluating Safety in Large Language Models. CoRR abs/2410.18491 (2024) - [i34]Qiang Hu, Xiaofei Xie, Sen Chen, Lei Ma:
Large Language Model Supply Chain: Open Problems From the Security Perspective. CoRR abs/2411.01604 (2024) - [i33]Hanxiang Xu, Wei Ma, Ting Zhou, Yanjie Zhao, Kai Chen, Qiang Hu, Yang Liu, Haoyu Wang:
A Code Knowledge Graph-Enhanced System for LLM-Based Fuzz Driver Generation. CoRR abs/2411.11532 (2024) - 2023
- [j39]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) - [j38]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) - [j37]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) - [j36]Yuming Huang, Yingpin Chen, Chen Lin, Qiang Hu, Jianhua Song:
Visual attention learning and antiocclusion-based correlation filter for visual object tracking (Erratum). J. Electronic Imaging 32(1) (2023) - [j35]Yuming Huang, Yingpin Chen, Chen Lin, Qiang Hu, Jianhua Song:
Visual attention learning and antiocclusion-based correlation filter for visual object tracking. J. Electronic Imaging 32(1) (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) - [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 - [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
- [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) - [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 - [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]