Xingyu Wu (吴兴宇)
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PhD Email xingyuwu@mail.ustc.edu.cn Wechat: wuxingyu-uestc |
Personal Information
Xingyu Wu received the B.S. degree from University of Electronic Science and Technology of China (UESTC) in 2018, and the Ph.D. degree from University of Science and Technology of China (USTC) in 2023. His research interests include causality-based machine learning, feature selection, causal learning, and causal inference.
Research Interest:
- Causality-based machine learning, e.g., causal feature selection, causal discovery, causal inference, and some causality-based applications.
- Markov boundary and Markov blanket discovery, and its application in feature selection, structure learning, and causal learning.
- Some real-world applications, e.g., biomedical data mining, artificial intelligence music, knowledge graph, and Chinese natural language processing.
Paper
- Xingyu Wu, Yan Zhong, Jibin Wu, Bingbing Jiang, Kay Chen Tan. Large Language Model-Enhanced Algorithm Selection: Towards Comprehensive Algorithm Representation. The 33rd International Joint Conference on Artificial Intelligence (IJCAI'24), August 3-9, 2024, Jeju, South Korea.
- Chenglong Zhang, Yang Fang, Xinyan Liang, Han Zhang, Peng Zhou, Xingyu Wu, Jie Yang, Bingbing Jiang, Weiguo Sheng. Efficient Multi-view Unsupervised Feature Selection with Adaptive Structure Learning and Inference. The 33rd International Joint Conference on Artificial Intelligence (IJCAI'24), August 3-9, 2024, Jeju, South Korea.
- Yan Zhong, Xingyu Wu, Li Zhang, Chenxi Yang, Tingting Jiang. Causal-IQA: Towards the Generalization of Image Quality Assessment Based on Causal Inference. The 41st International Conference on Machine Learning (ICML'24), July 21-27, 2024, Vienna, Austria.
- Xingyu Wu, Yan Zhong, Zhaolong Ling, Jie Yang, Li Li, Weiguo Sheng, Bingbing Jiang. Nonlinear Learning Methods for Local Causal Structures. Information Sciences, vol. 654 (1), pp. 119789, 2024.
- Chenglong Zhang, Bingbing Jiang, Zidong Wang, Jie Yang, Yangfeng Lu, Xingyu Wu, Weiguo Sheng. Efficient multi-view semi-supervised feature selection. Information Sciences, vol 649 (11), pp. 119675, 2023.
- Bingbing Jiang, Chenglong Zhang, Yan Zhong, Yi Liu, Yingwei Zhang, Xingyu Wu *, Weiguo Sheng *. Adaptive Collaborative Fusion for Multi-view Semi-supervised Classification. Information Fusion, vol 96 (8), pp. 37 - 50, 2023.
- Shengfei Lyu, Xiren Zhou, Xingyu Wu, Qiuju Chen, Huanhuan Chen. Self-Attention Over Tree for Relation Extraction With Data-Efficiency and Computational Efficiency. IEEE Transactions on Emerging Topics in Computational Intelligence, vol. 8 (2), pp. 1253 - 1263, 2024.
- Xingyu Wu, Bingbing Jiang, Xiangyu Wang, Taiyu Ban, Huanhuan Chen. Feature Selection in the Data Stream Based on Incremental Markov Boundary Learning. IEEE Transactions on Neural Networks and Learning Systems, vol. 34 (10), pp. 6740 - 6754, 2023.
- Xiangyu Wang, Lyuzhou Chen, Taiyu Ban, Derui Lyu, Yifeng Guan, Xingyu Wu, Xiren Zhou, Huanhuan Chen. Accurate Label Refinement from Multi-Annotator of Remote Sensing Data. IEEE Transactions on Geoscience and Remote Sensing, accepted/in press, DOI: 10.1109/TGRS.2023.3241402, 2023.
- Xingyu Wu, Bingbing Jiang, Tianhao Wu, Huanhuan Chen. Practical Markov Boundary Learning without Strong Assumptions. The 37th AAAI Conference on Artificial Intelligence (AAAI'23), February 7-14, 2023, Washington, DC, USA.
- Xin Wang, Shengfei Lyu, Xiangyu Wang, Xingyu Wu, Huanhuan Chen. Temporal Knowledge Graph Embedding via Sparse Transfer Matrix. Information Sciences, vol. 623, no. 4, pp. 56–69, 2023.
- Xin Wang, Shengfei Lyu, Xingyu Wu, Tianhao Wu, Huanhuan Chen. Generalization Bounds for Estimating Causal Effects of Continuous Treatments. The 36th Conference on Neural Information Processing Systems (NeurIPS'22), November 29 - December 1, 2022, New Orleans, Louisiana, USA.
- Xiangyu Wang, Taiyu Ban, Lyuzhou Chen, Xingyu Wu, Derui Lyu, Huanhuan Chen. Knowledge Verification from Data. IEEE Transactions on Neural Networks and Learning Systems, vol. 35, no. 3, pp. 4324 - 4338, 2024.
- Xingyu Wu, Bingbing Jiang, Yan Zhong, Huanhuan Chen. Multi-target Markov Boundary Discovery: Theory, Algorithm, and Application. IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 45, no. 4, pp. 4964 - 4980, 2023.
- Bingbing Jiang, Junhao Xiang, Xingyu Wu, Yadi Wang, Huanhuan Chen, Yi Liu, Weiwei Cao, Weiguo Sheng. Robust Multi-view Learning via Adaptive Regression. Information Sciences, vol. 610, no. 9, pp. 916–937, 2022.
- Tianhao Wu, Xingyu Wu, Xin Wang, Shikang Liu, Huanhuan Chen. Nonlinear Causal Discovery in Time Series. The 31st ACM International Conference on Information and Knowledge Management (CIKM'22), October 17–21, 2022, Atlanta, Georgia, USA.
- Bingbing Jiang, Xingyu Wu, Xiren Zhou, Anthony Cohn, Yi Liu, Weiguo Sheng, Huanhuan Chen. Semi-Supervised Multi-View Feature Selection with Adaptive Graph Learning. IEEE Transactions on Neural Networks and Learning Systems, vol. 35, no. 3, pp. 3615 - 3629, 2024.
- Taiyu Ban, Xiangyu Wang, Lyuzhou Chen, Xingyu Wu, Qiuju Chen, Huanhuan Chen. Quality Evaluation of Triples in Knowledge Graph by Incorporating Internal with External Consistency. IEEE Transactions on Neural Networks and Learning Systems, vol. 35, no. 2, pp. 1980 - 1992, 2024.
- Xingyu Wu, Zhenchao Tao, Bingbing Jiang, Tianhao Wu, Xin Wang, Huanhuan Chen. Domain Knowledge-enhanced Variable Selection for Biomedical Data Analysis. Information Sciences, vol. 606 (8), pp. 469 - 488, 2022.
- Jiarun Zhu, Xingyu Wu, Muhammad Usman, Xiangyu Wang, Huanhuan Chen. Link Prediction in Continuous-Time Dynamic Heterogeneous Graphs with Causality of Event Types. International Journal of Crowd Science, vol. 6, no. 2, pp. 80–91, 2022.
- Xingyu Wu, Bingbing Jiang, Shengfei Lyu, Xiangyu Wang, Qiuju Chen, Huanhuan Chen. A Survey on Causal Feature Selection Based on Markov Boundary Discovery. Pattern Recognition and Artificial Intelligence, vol. 35 (5), pp. 422 - 438, 2022.
- Gangqiang Hu, Shengfei Lyu, Xingyu Wu, Jinlong Li, Huanhuan Chen. Contextual-Aware Information Extractor with Adaptive Objective for Chinese Medical Dialogues. ACM Transactions on Asian and Low-Resource Language Information Processing, vol. 21 (5), pp. 1 - 21, 2022.
- Bingbing Jiang, Wenda He, Xingyu Wu, Junhao Xiang, Libin Hong, Weiguo Sheng. Semi-Supervised Feature Selection with Adaptive Graph Learning. ACTA Electronica Sinica, vol. 50, no. 7, pp. 1643–1652, 2022.
- Shengfei Lyu, Xingyu Wu, Jinlong Li, Qiuju Chen, Huanhuan Chen. Do Models Learn the Directionality of Relations? A New Evaluation: Relation Direction Recognition. IEEE Transactions on Emerging Topics in Computational Intelligence, vol. 6 (4), pp. 883 - 892, 2022.
- Kui Yu, Mingzhu Cai, Xingyu Wu, Lin Liu, Jiuyong Li. Multi-Label Feature Selection: a Local Causal Structure Learning Approach. IEEE Transactions on Neural Networks and Learning Systems, vol. 34 (6), pp. 3044 - 3057, 2023.
- Bingbing Jiang, Junhao Xiang, Xingyu Wu *, Wenda He, Libin Hong, Weiguo Sheng *. Robust Adaptive-weighting Multi-view Classification. The 30th ACM International Conference on Information and Knowledge Management (CIKM'21), November 1–5, 2021, Gold Coast, Australia.
- Yan Zhong, Xingyu Wu, Bingbing Jiang, Huanhuan Chen. Multi-label Local-to-Global Feature Selection. International Joint Conference on Neural Networks (IJCNN'21), July 18–22, 2021, Virtual Event, Shenzhen, China.
- Xingyu Wu, Bingbing Jiang, Kui Yu, Huanhuan Chen. Separation and Recovery Markov Boundary Discovery and Its Application in EEG-based Emotion Recognition. Information Sciences, vol. 571 (9), pp. 262 - 278, 2021.
- Shengfei Lyu, Jin Cheng, Xingyu Wu, Lizhen Cui, Huanhuan Chen, Chunyan Miao. Auxiliary Learning for Relation Extraction. IEEE Transactions on Emerging Topics in Computational Intelligence, vol. 6 (1), pp. 182 - 191, 2022.
- Xingyu Wu, Bingbing Jiang, Yan Zhong, Huanhuan Chen. Tolerant Markov Boundary Discovery for Feature Selection. The 29th ACM International Conference on Information and Knowledge Management (CIKM'20), October 19–23, 2020, Virtual Event, Ireland.
- Xingyu Wu, Bingbing Jiang, Kui Yu, Huanhuan Chen, Chunyan Miao. Multi-label Causal Feature Selection. The 34th AAAI Conference on Artificial Intelligence (AAAI'20), February 7-12, 2020, New York, USA.
- Xingyu Wu, Bingbing Jiang, Kui Yu, Chunyan Miao, Huanhuan Chen. Accurate Markov Boundary Discovery for Causal Feature Selection. IEEE Transactions on Cybernetics, vol. 50 (12), pp. 4983 - 4996, 2020.
- Bingbing Jiang, Xingyu Wu, Kui Yu, Huanhuan Chen. Joint Semi-supervised Feature Selection and Classification through Bayesian Approach. The 33th AAAI Conference on Artificial Intelligence (AAAI'19), January 27- February 1, 2019, Honolulu, Hawaii, USA.
Service
- Reviewer of IEEE Transactions on Neural Networks and Learning Systems (TNNLS, IEEE)
- Reviewer of IEEE Transactions on Cybernetics (TCYB, IEEE)
- Reviewer of IEEE Transactions on Knowledge and Data Engineering (TKDE, IEEE)
- Reviewer of IEEE Transactions on Cognitive and Developmental Systems (TCDS, IEEE)
- Reviewer of IEEE/CAA Journal of Automatica Sinica (JAS, IEEE)
- Reviewer of Pattern Recognition (PR, Elsevier)
- Reviewer of Neurocomputing (NEUCOM, Elsevier)
- Reviewer of Soft Computing (SOCO, Springer)
- Reviewer of International Journal of Fuzzy Systems (IJFS, Springer)
- Reviewer of Journal of Ambient Intelligence and Humanized Computing (AIHC, Springer)
- Reviewer of International Journal of Intelligent Systems (IJIS, Wiley)
- Reviewer of Intelligent Automation and Soft Computing (IASC, TSI Press)
- Reviewer of CMC-Computers, Materials & Continua (CMC, Tech Science Press)
- Reviewer of Electronic Commerce Research and Applications (ECRA, Elsevier)
- Reviewer of INFORMS Journal on Computing (JOC, INFORMS, UTD-24)
- PC member of the 35th AAAI Conference on Artificial Intelligence (AAAI'21)
- PC member of the 2021 Conference on Empirical Methods in Natural Language Processing (EMNLP'21)
- PC member of the 36th AAAI Conference on Artificial Intelligence (AAAI'22)
- PC member of the 2022 Conference on Empirical Methods in Natural Language Processing (EMNLP'22)
- PC member of the 2023 Future of Information and Communication Conference (FICC'23)
- PC member of the 37th AAAI Conference on Artificial Intelligence (AAAI'23)
- PC member of the 2023 International Joint Conference on Neural Networks (IJCNN'23)
- PC member of the 38th AAAI Conference on Artificial Intelligence (AAAI'24)
- PC member of the 2024 International Joint Conference on Neural Networks (IJCNN'24)
- PC member of the 33rd International Joint Conference on Artificial Intelligence (IJCAI'24)
- PC member of the ACM MULTIMEDIA 2024 (MM'24)
Contact
- Email: xingyuwu@mail.ustc.edu.cn
- Address: University of Science and Technology of China, 443 Huangshan Road, Hefei, Anhui 230027, China
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[Since August, 2020] |