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Brief Biography

Xinghao Yang is currently a Associate Professor with the College of Control Science and Engineering, China University of Petroleum (East China), China. He received the BEng degree in electronic information engineering and MEng degree in information and communication engineering from China University of Petroleum (East China) in 2015 and 2018, respectively. He received the Ph.D. degree in computer science from the University of Technology Sydney in 2022. His current research interests include multi-view learning and adversarial machine learning.

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Research

• My research interests lie in machine learning and its real-world applications, covering multiview learning, manifold learning and deep learning.

• My current research interest: Adversarial machine learning.

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Selected Publications

• Ao Wang, Xinghao Yang, Chen Li, Bao-di Liu, Weifeng Liu. Adaptive Immune-based Sound-Shape code Substitution for Adversarial Chinese Text Attacks. EMNLP, 2024.

• Jian Pang, Weifeng Liu, Bingfeng Zhang, Xinghao Yang, Baodi Liu, Dapeng Tao. MCNet: Magnitude consistency network for domain adaptive object detection under inclement environments. Pattern Recognition, 2024.

• Chen Li, Xinghao Yang, Baodi Liu, Weifeng Liu, Honglong Chen. Annealing Genetic-based Preposition Substitution for Text Rubbish Example Generation. IJCAI 2023, August 19-25, 2023, Macao.

• Renjie Xu, Xinghao Yang, Xingxing Yao, Dapeng Tao, Weijia Cao, Xiaoping Lu, Weifeng Liu. Self-Paced Hard Task-Example Mining for Few-Shot Classification. IEEE Transactions on Circuits and Systems for Video Technology, 2023, 33: 5631-5644.

• Xinghao Yang, Yongshun Gong, Weifeng Liu, James Bailey, Dacheng Tao, Wei Liu. Semantic-Preserving Adversarial Text Attacks. IEEE Transactions on Sustainable Computing, Early Access.

• Xinghao Yang, Yupeng Qi, Honglong Chen, Baodi Liu, Weifeng Liu. Generation-based parallel particle swarm optimization for adversarial text attacks. Information Sciences, 2023.

• Xinghao Yang, Weifeng Liu, Wei Liu. Tensor Canonical Correlation Analysis Networks for Multi-view Remote Sensing Scene Recognition. IEEE Transactions on Knowledge and Data Engineering, 2022, 34: 2948-2961.

• Xinghao Yang, Weifeng Liu, Shengli Zhang, Wei Liu, Dacheng Tao. Targeted Attention Attack on Deep Learning Models in Road Sign Recognition. IEEE Internet of Things Journal, 2021, 8: 4980-4990.

• Aneesh Chivukula, Xinghao Yang, Tianqing Zhu, Wanlei Zhou, and Wei Liu. Game Theoretical Adversarial Deep Learning With Variational Adversaries. IEEE Transactions on Knowledge and Data Engineering, 2021, 33: 3568-3581.

• Xinghao Yang, Weifeng Liu, Wei Liu, Dacheng Tao. A Survey on Canonical Correlation Analysis. IEEE Transactions on Knowledge and Data Engineering, 2021, 33: 2349-2368.

• Xinghao Yang, Weifeng Liu, Dacheng Tao, Wei Liu. BESA: BERT-based Simulated Annealing for Adversarial Text Attacks. IJCAI 2021, August 21-26, 2021.

• Xinghao Yang, Weifeng Liu, James Bailey, Dacheng Tao, and Wei Liu. Bigram and Unigram Based Text Attack via Adaptive Monotonic Heuristic Search. AAAI 2021, February 2-9, 2021.

• Xinghao Yang and Wei Liu. Population Location and Movement Estimation through Cross-domain Data Analysis. IJCAI 2020, January 7-15, 2021.

• Weifeng Liu, Xinghao Yang, Dapeng Tao, Jun Cheng, Yuanyan Tang. Multiview dimension reduction via Hessian multiset canonical correlations. Information Fusion, 2018, 41: 119 - 128.

• Xinghao Yang, Weifeng Liu, Dapeng Tao, Jun Cheng. Canonical correlation analysis networks for two-view image recognition. Information Sciences, 2017, 385: 338-352.

• Xinghao Yang, Weifeng Liu, Dapeng Tao, Jun Cheng, Shuying Li. Multiview Canonical Correlation Analysis Networks for Remote Sensing Image Recognition. IEEE Geoscience and Remote Sensing Letters, 2017, 14: 1855-1859.

• Xinghao Yang, Weifeng Liu. Multiple Scale Canonical Correlation Analysis Networks for Two-View Object Recognition. The 24th International Conference on Neural Information Processing (ICONIP 2017), November 14-18, 2017, Guangzhou, China.

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Projects

• Young Talent of Lifting engineering for Science and Technology in Shandong, China (Grant No. SDAST2024QTA040), Jan. 2025 - Dec. 2026.

• Research on Bounded Text Attack Method based on Monotone Weak Submodular Optimization, the National Natural Science Foundation of China (Grant No. 62406341), Jan. 2025 - Dec. 2027.

• Research on Robust Text Data Representation based on Adversarial Attack and Defense, the Shandong Natural Science Foundation (Grant No. ZR2023QF051), Jan. 2024 - Dec. 2026.

• Research on Robust Representation Learning Method based on Data Model Coupling, Outstanding Youth Science Foundation Project of Shandong Province (Overseas) (Grant No.2023HWYQ-070), Jan. 2023 - Dec. 2025.

• Text Adversarial Research based on Multivariate Combination Optimization, Independent Innovation Research Project (Grant No.22CX06059A), Sep. 2022 - Apr. 2025.