Xiaobao Wang 王晓宝
Ph.D & Associate Professor
Xiaobao Wang (王晓宝) is currently an associate professor
in
Tianjin University (TJU), China. He received BA, ME, and Ph.D degree from Tianjin
University. His supervisors were Prof.
Jianwu Dang (党建武)
and Prof.
Di Jin (金弟). His research interests include graph neural networks, complex
network analysis, social network analysis, intent understanding,
and rumor detection. He has published many papers in highly
regarded journals and conferences, such as AAAI, WWW, IJCAI,
IEEE TKDE, etc.
Call for graduate and undergraduate students! I hope you are
dedicated, determined and have basic programming and math
skills. I also hope you can enjoy learning and life. Please
feel free to contact me via email.
Education
PhD in College of Intelligence and Computing, Tianjin University, China
MS in College of Intelligence and Computing, Tianjin University, China
BS in College of Intelligence and Computing, Tianjin University, China
Awards
2021 Global Top 100 Chinese Rising Stars in Artificial Intelligence
The 10th China National Conference on Social Media Processing (SMP), best paper award, 2022
Excellent PhD graduate of Tianjin University, 2022
Excellent PhD Thesis of Tianjin University, 2022
Publications [Google Scholar] [DBLP]
Dongxiao He, Jinghan Zhang, Xiaobao Wang*, Meng Ge, Zhiyong Feng, Longbiao Wang, Xiaoke Ma. "TUT4CRS: Time-aware User-preference Tracking for Conversational Recommendation System". MM-2024. (CCF-A类会议长文)
Bingdao Feng, Di Jin, Xiaobao Wang*, Fangyu Cheng, Siqi Guo. "Backdoor attacks on unsupervised graph representation learning". Neural Networks-2024. (SCI一区TOP期刊)
Huiying Ma, Dongxiao He, Xiaobao Wang*, Di Jin, Meng Ge, Longbiao Wang. "Multi-modal Sarcasm Detection Based on Dual Generative Process". IJCAI-2024. (CCF-A类会议长文, Oral)
Yiqi Dong, Dongxiao He*, Xiaobao Wang*, Youzhu Jin, Meng Ge, Carl Yang, Di Jin. "Unveiling Implicit Deceptive Patterns in Multi-modal Fake-News via-Neuro Symbolic Reasoning". AAAI-2024. (CCF-A类会议长文)
Yuhang Li, Xiao Wei, Yuke Si*, Longbiao Wang, Xiaobao Wang*, Jianwu Dang. "Improving Zero-shot Cross-domain Slot Filling via Transformer-based Slot Semantics Fusion". INTERSPEECH-2023. (CCF-C类会议长文)
Zhe Yu, Di Jin, Xiaobao Wang*, Yawen Li, Longbiao Wang, Jianwu Dang. "Commonsense Knowledge Enhanced Sentiment Dependency Graph for Sarcasm Detection". IJCAI-2023. (CCF-A类会议长文)
Yiqi Dong, Di Jin, Xiaobao Wang*, Yawen Li, Xiaowen Su, Dongxiao He. "A Generalized Deep Markov Random Fields Framework for Fake News Detection". IJCAI-2023. (CCF-A类会议长文)
Xiaobao Wang, Yiqi Dong, Di Jin, Yawen Li, Longbiao Wang, Jianwu Dang. "Augmenting Affective Dependency Graph via Iterative Incongruity Graph Learning for Sarcasm Detection". AAAI-2023. (CCF-A类会议长文，Oral)
Di Jin, Bingdao Feng, Siqi Guo, Xiaobao Wang*, Jianguo Wei, Zhen Wang. "Local-Global Defense Against Unsupervised Adversarial Attacks on Graphs". AAAI-2023. (CCF-A类会议长文，Oral)
Haoyu Lu, Nan Li*, Tongtong Song, Longbiao Wang, Jianwu Dang, Xiaobao Wang*, Shiliang Zhang. "Speech and Noise Dual-stream Spectrogram Refine Network with Speech Distortion Loss for Robust Speech Recognition". ICASSP-2023. (CCF-B类会议)
Yanli Wu, Dongxiao He, Xiaobao Wang*, Shuwei Liu and Di Jin. "刻画多种潜在关系的泊松-伽马主题模型". CCDM-22
Dongxiao He, Rui Guo, Xiaobao Wang*, Di Jin, Yuxiao Huang, Wenjun Wang. "Inflation improves graph neural networks". WWW-22. (CCF-A类会议长文)
Jiaxu He, Cheng Gong, Longbiao Wang, Di Jin, Xiaobao Wang, Junhai Xu, Jianwu Dang. "Improve emotional speech synthesis quality by learning explicit and implicit representations with semi-supervised training". INTERSPEECH, 2022. (CCF-C类会议长文)
PDF
Dongxiao He, Yanli Wu, Youyou Wang, Zhizhi Yu, Zhiyong Feng, Xiaobao Wang*, Yuxiao Huang. "Identification of communities with multi-semantics via Bayesian generative model". IEEE Transactions on Big Data, 2021. (SCI二区, IF. 3.344)
PDF
Di Jin, Xiaobao Wang*, Dongxiao He, Jianwu Dang, Weixiong Zhang. "Robust detection of link communities with summary description in social networks". IEEE Transactions on Knowledge and Data Engineering, 2021. (CCF-A类期刊)
PDF
Dongxiao He, Huixin Liu, Zhiyong Feng, Xiaobao Wang*, Di Jin, Wenze Song and Yuxiao Huang. "A Joint Community Detection Model: Integrating Directed and Undirected Probabilistic Graphical Models via Factor Graph with Attention Mechanism". IEEE Transactions on Big Data, 2021. (SCI二区, IF. 3.344, 第十届全国社会媒体处理大会(SMP 2022)最佳论文奖)
PDF
Di Jin, Xiaobao Wang, Mengquan Liu, Jianguo Wei, Wenhuan Lu, Francoise Fogelman-Soulié. "Identification of generalized semantic communities in large social networks". IEEE Transactionson Network Scienceand Engineering, 2020. (SCI二区IF.5.213)
PDF
Xiaobao Wang, Di Jin, Katarzyna Musial, Jianwu Dang. "Topic Enhanced Sentiment Spreading Model in Social Networks Considering User Interest". AAAI-2020. (CCF-A类会议长文，Oral)
PDF
Xiaobao Wang, Di Jin, Mengquan Liu, Dongxiao He, Katarzyna Musial, Jianwu Dang. "Emotional contagion-based social sentiment mining in social networks by introducing network communities". CIKM-2019. (CCF-B类会议长文)
Di Jin, Xiaobao Wang, Ruifang He, Dongxiao He, Jianwu Dang, Weixiong Zhang. "Robust detection of link communities in large social networks by exploiting link semantics". AAAI-2018. (CCF-A类会议长文, Oral)
PDF
Di Jin, Xiaobao Wang, Dongxiao He, Wenhuan Lu, Francoise Fogelman-Soulié, Jianwu Dang. "Identification of generalized communities with semantics in networks with content". ICTAI-2017. (CCF-C类会议)
PDF
Dongxiao He, Zhiyong Feng, Di Jin, Xiaobao Wang, Weixiong Zhang. "Joint identification of network communities and semantics via integrative modeling of network topologies and node contents". AAAI-2017. (CCF-A类会议长文，Oral)
PDF