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ORCIDHang Gao 0003
Person information
- affiliation: Tianjin University of Science and Technology, College of Artificial Intelligence, China
- affiliation (former): Tsinghua University, Institute of Public Safety Research, Beijing, China
- affiliation (PhD 2021): Nankai University, College of Computer Science, Tianjin, China
Other persons with the same name
- Hang Gao — disambiguation page
- Hang Gao 0001 — Northeast Normal University, School of Mathematics & Statistics, Changchun, China
- Hang Gao 0002 — Chinese Academy of Sciences, Institute of Microelectronics, Beijing, China (and 1 more)
- Hang Gao 0004
![[0000-0003-3613-4011]](https://dblp.dagstuhl.de/img/orcid-mark.12x12.png "0000-0003-3613-4011")
— Chinese Academy of Sciences, Institute of Software, Beijing, China
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Journal Articles
- 2025
[j25]Caixia Jing, Hang Gao, Xinpeng Zhang, Tiegang Gao, Chuan Zhou:
DPSG: Dynamic Propagation Social Graphs for multi-modal fake news detection. Inf. Fusion 113: 102595 (2025)- [j24]Hang Gao, Tiegang Gao:
Reversible data hiding in encrypted image based on multiple linear regressions and adaptive adjustment of the prediction data. J. Inf. Secur. Appl. 93: 104106 (2025) - [j23]Gaopeng Zheng, Hang Gao, Ningxin He, Tiegang Gao:
SDASS: secure data auditing for sharing matrix based secret share cloud storage supporting data dynamics. J. King Saud Univ. Comput. Inf. Sci. 37(4) (2025) - [j22]Songsong Zhang, Zhengliang Jiang, Hang Gao, Suying Gui, Tiegang Gao:
Attacks and countermeasures on federated learning via historical knowledge modeling. J. King Saud Univ. Comput. Inf. Sci. 37(6) (2025) - 2024
- [j21]Mengqi Liu, Hang Gao, Xiaofan Xia, Suying Gui, Tiegang Gao:
Perceptual Image Hashing Based on Canny Operator and Tensor for Copy-Move Forgery Detection. Comput. J. 67(2): 447-462 (2024) - [j20]Hang Gao, Yi Liu:
Improving real-time driver distraction detection via constrained attention mechanism. Eng. Appl. Artif. Intell. 128: 107408 (2024) - [j19]Hang Gao, Xinpeng Zhang, Tiegang Gao:
Hierarchical reversible data hiding in encrypted images based on multiple linear regressions and multiple bits prediction. Multim. Tools Appl. 83(3): 8757-8783 (2024) - [j18]Hang Gao, Tiegang Gao:
A lightweight robust image hash based on random tensors and angle features for IoT devices. Signal Image Video Process. 18(2): 1747-1761 (2024) - [j17]Hang Gao, Gaopeng Zheng, Tiegang Gao:
A secure image encryption-sharing based on different diffusion intensities by hyper-chaos according to image features. Signal Image Video Process. 18(11): 8119-8130 (2024) - [j16]Hang Gao, Mengting Hu, Yi Liu:
Learning Driver-Irrelevant Features for Generalizable Driver Behavior Recognition. IEEE Trans. Intell. Transp. Syst. 25(10): 14115-14127 (2024) - 2023
- [j15]Hang Gao, Ningxin He, Tiegang Gao:
SVeriFL: Successive verifiable federated learning with privacy-preserving. Inf. Sci. 622: 98-114 (2023) - [j14]Xiaotian Wang, Zhongjie Pan, Hang Gao, Ningxin He, Tiegang Gao:
An efficient model for real-time wildfire detection in complex scenarios based on multi-head attention mechanism. J. Real Time Image Process. 20(4): 66 (2023) - [j13]Mengting Hu, Hang Gao, Yike Wu, Zhong Su, Shiwan Zhao:
Fine-Grained Domain Adaptation for Aspect Category Level Sentiment Analysis. IEEE Trans. Affect. Comput. 14(4): 2839-2850 (2023) - 2022
- [j12]Hang Gao, Tiegang Gao:
A secure lossless recovery for medical images based on image encoding and data self-embedding. Clust. Comput. 25(1): 707-725 (2022) - [j11]Kunshu Wang, Xiangjun Wu, Mengqi Liu, Hang Gao, Tiegang Gao:
Hachimoji DNA-based reversible blind color images hiding using Julia set and SVD. Neural Comput. Appl. 34(5): 3811-3827 (2022) - [j10]Zehui Zhang, Ningxin He, Qingdan Li, Kunshu Wang, Hang Gao, Tiegang Gao:
DetectPMFL: Privacy-Preserving Momentum Federated Learning Considering Unreliable Industrial Agents. IEEE Trans. Ind. Informatics 18(11): 7696-7706 (2022) - 2020
- [j9]Hang Gao, Tiegang Gao, Renhong Cheng:
Robust detection of median filtering based on data-pair histogram feature and local configuration pattern. J. Inf. Secur. Appl. 53: 102506 (2020) - [j8]Hang Gao, Tiegang Gao, Zhaoning You, Renhong Cheng:
High capacity reversible data hiding in encrypted image based on image encoding and POB. J. Frankl. Inst. 357(13): 9107-9126 (2020) - [j7]Hang Gao, Tiegang Gao:
Detection of median filtering based on ARMA model and pixel-pair histogram feature of difference image. Multim. Tools Appl. 79(17-18): 12551-12567 (2020) - 2019
- [j6]Mengting Hu, Hang Gao, Tiegang Gao:
Secure and Efficient Ranked Keyword Search over Outsourced Cloud Data by Chaos Based Arithmetic Coding and Confusion. Int. J. Netw. Secur. 21(1): 105-114 (2019) - [j5]Hang Gao, Tiegang Gao:
Double verifiable image encryption based on chaos and reversible watermarking algorithm. Multim. Tools Appl. 78(6): 7267-7288 (2019) - [j4]Hang Gao, Mengting Hu, Tiegang Gao, Renhong Cheng:
Robust detection of median filtering based on combined features of difference image. Signal Process. Image Commun. 72: 126-133 (2019) - 2018
- [j3]Hang Gao, Mengting Hu, Tiegang Gao, Renhong Cheng:
Random Grid and Reversible Watermarking-Based On Verifiable Secret Sharing for Outsourcing Images in Cloud. Int. J. Digit. Crime Forensics 10(1): 24-39 (2018) - 2017
- [j2]Hang Gao, Mengting Hu, Tiegang Gao, Renhong Cheng:
Double Verifiable Lossless Secret Sharing Based on Hyper-chaos Generated Random Grid. Int. J. Netw. Secur. 19(6): 1005-1015 (2017) - 2016
- [j1]Liang Yang, Tiegang Gao, Yan Xuan, Hang Gao:
Contrast Modification Forensics Algorithm Based on Merged Weight Histogram of Run Length. Int. J. Digit. Crime Forensics 8(2): 27-35 (2016)
Conference and Workshop Papers
- 2025
- [c18]Xunzhi Wang, Zhuowei Zhang, Gaonan Chen, Qiongyu Li, Bitong Luo, Zhixin Han, Haotian Wang, Zhiyu Li, Hang Gao, Mengting Hu:
UBench: Benchmarking Uncertainty in Large Language Models with Multiple Choice Questions. ACL (Findings) 2025: 8076-8107 - [c17]Yuhua Zhao, Zhixin Han, Xunzhi Wang, Bitong Luo, Hang Gao, Minlie Huang, Mengting Hu:
HCDS: Hierarchical Clustering for Cold-Start Few-Shot Data Selection. SIGIR 2025: 782-791 - 2024
- [c16]Yinhao Bai, Yalan Xie, Xiaoyi Liu, Yuhua Zhao, Zhixin Han, Mengting Hu, Hang Gao, Renhong Cheng:
BvSP: Broad-view Soft Prompting for Few-Shot Aspect Sentiment Quad Prediction. ACL (1) 2024: 8465-8482 - [c15]Yinhao Bai, Zhixin Han, Yuhua Zhao, Hang Gao, Zhuowei Zhang, Xunzhi Wang, Mengting Hu:
Is Compound Aspect-Based Sentiment Analysis Addressed by LLMs? EMNLP (Findings) 2024: 7836-7861 - [c14]Yinhao Bai, Yuhua Zhao, Zhixin Han, Hang Gao, Chao Xue, Mengting Hu:
Towards Robust Information Extraction via Binomial Distribution Guided Counterpart Sequence. KDD 2024: 83-94 - [c13]Zhen Zhang, Yuhua Zhao, Hang Gao, Mengting Hu:
LinkNER: Linking Local Named Entity Recognition Models to Large Language Models using Uncertainty. WWW 2024: 4047-4058 - 2023
- [c12]Mengting Hu, Yinhao Bai, Yike Wu, Zhen Zhang, Liqi Zhang, Hang Gao, Shiwan Zhao, Minlie Huang:
Uncertainty-Aware Unlikelihood Learning Improves Generative Aspect Sentiment Quad Prediction. ACL (Findings) 2023: 13481-13494 - [c11]Hang Gao, Yiting Wang, Han Xing, Yi Liu:
MFN: A Multi-hop Fusion Network for Traffic Accident Risk Prediction. EM-GIS 2023: 24-29 - 2022
- [c10]Liang Yang, Huajun Wang, Wenbin Wang, Tiegang Gao, Hang Gao:
An Algorithm for Terrain Recognition of Heavy Duty Diesel Vehicles Using Chinese Regulatory Standard Data. CACML 2022: 102-108 - [c9]Mengting Hu, Hang Gao, Yinhao Bai, Mingming Liu:
Classical Sequence Match Is a Competitive Few-Shot One-Class Learner. COLING 2022: 4728-4740 - [c8]Mengting Hu, Yike Wu, Hang Gao, Yinhao Bai, Shiwan Zhao:
Improving Aspect Sentiment Quad Prediction via Template-Order Data Augmentation. EMNLP 2022: 7889-7900 - 2021
- [c7]Mengting Hu, Shiwan Zhao, Honglei Guo, Chao Xue, Hang Gao, Tiegang Gao, Renhong Cheng, Zhong Su:
Multi-Label Few-Shot Learning for Aspect Category Detection. ACL/IJCNLP (1) 2021: 6330-6340 - [c6]Hang Gao, Yi Liu:
FedURR: a federated transfer learning framework for multi-department collaborative urban risk recognition. EM-GIS 2021: 3:1-3:5 - [c5]Mengting Hu, Honglei Guo, Shiwan Zhao, Hang Gao, Zhong Su:
Efficient Mind-Map Generation via Sequence-to-Graph and Reinforced Graph Refinement. EMNLP (1) 2021: 8130-8141 - 2020
- [c4]Hang Gao, Tiegang Gao:
Prevention of Rumor Spreading Based on Blockchain. ICCT 2020: 1174-1178 - 2019
- [c3]Hang Gao, Tiegang Gao:
USM Sharpening Detection Based on Grey-Level Dependence Matrix and Cumulative Sum of Histogram on Difference Image. CISP-BMEI 2019: 1-5 - 2018
- [c2]Hang Gao, Mengting Hu, Tiegang Gao, Renhong Cheng:
An Effective Image Detection Algorithm for USM Sharpening Based on Pixel-Pair Histogram. PCM (2) 2018: 396-407 - 2016
- [c1]Hang Gao, Tiegang Gao, Renhong Cheng:
Random Selective Image Encryption Algorithm Based on Chaos Search. IGTA 2016: 92-105
Informal and Other Publications
- 2024
- [i9]Zhen Zhang, Yuhua Zhao, Hang Gao, Mengting Hu:
LinkNER: Linking Local Named Entity Recognition Models to Large Language Models using Uncertainty. CoRR abs/2402.10573 (2024) - [i8]Yinhao Bai, Yalan Xie, Xiaoyi Liu, Yuhua Zhao, Zhixin Han, Mengting Hu, Hang Gao, Renhong Cheng:
BvSP: Broad-view Soft Prompting for Few-Shot Aspect Sentiment Quad Prediction. CoRR abs/2406.07365 (2024) - [i7]Xunzhi Wang, Zhuowei Zhang, Qiongyu Li, Gaonan Chen, Mengting Hu, Zhiyu Li, Bitong Luo, Hang Gao, Zhixin Han, Haotian Wang:
UBENCH: Benchmarking Uncertainty in Large Language Models with Multiple Choice Questions. CoRR abs/2406.12784 (2024) - 2023
- [i6]Mengting Hu, Yinhao Bai, Yike Wu, Zhen Zhang, Liqi Zhang, Hang Gao, Shiwan Zhao, Minlie Huang:
Uncertainty-Aware Unlikelihood Learning Improves Generative Aspect Sentiment Quad Prediction. CoRR abs/2306.00418 (2023) - 2022
- [i5]Mengting Hu, Hang Gao, Yinhao Bai, Mingming Liu:
Classical Sequence Match is a Competitive Few-Shot One-Class Learner. CoRR abs/2209.06394 (2022) - [i4]Mengting Hu, Yike Wu, Hang Gao, Yinhao Bai, Shiwan Zhao:
Improving Aspect Sentiment Quad Prediction via Template-Order Data Augmentation. CoRR abs/2210.10291 (2022) - 2021
- [i3]Hang Gao, Mengting Hu, Renhong Cheng, Tiegang Gao:
Hierarchical Ranking for Answer Selection. CoRR abs/2102.00677 (2021) - [i2]Mengting Hu, Shiwan Zhao, Honglei Guo, Chao Xue, Hang Gao, Tiegang Gao, Renhong Cheng, Zhong Su:
Multi-Label Few-Shot Learning for Aspect Category Detection. CoRR abs/2105.14174 (2021) - [i1]Mengting Hu, Honglei Guo, Shiwan Zhao, Hang Gao, Zhong Su:
Efficient Mind-Map Generation via Sequence-to-Graph and Reinforced Graph Refinement. CoRR abs/2109.02457 (2021)
Coauthor Index
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