| 2026 | AAAI | Mitigating Noise and Imbalance in Social Governance Graphs for Multi-Type Risk Assessment. | Di Jin, Haotian Zhao, Xiaobao Wang, Fengyu Yan, Dongxiao He |
| 2026 | AAAI | From Subtle to Significant: Prompt-Driven Self-Improving Optimization in Test-Time Graph OOD Detection. | Luzhi Wang, Xuanshuo Fu, He Zhang, Chuang Liu, Xiaobao Wang, Hongbo Liu |
| 2026 | AAAI | Structure-Enhanced Adapter for Self-Supervised Heterogeneous Graph Learning. | Fengyu Yan, Di Jin, Xiaobao Wang, Qianhua Tang, Dongxiao He |
| 2026 | ACL | Evaluating the Expressive Appropriateness of Speech in Rich Contexts. | Tianrui Wang, Ziyang Ma, Yizhou Peng, Haoyu Wang, Zhikang Niu, Zikang Huang, Yihao Wu, Yi-Wen Chao, Yu Jiang, Yuheng Lu, Guanrou Yang, Xuanchen Li, Hexin Liu, Chunyu Qiang, Cheng Gong, Yifan Yang, Tianchi Liu, Junyu Wang, Nana Hou, Meng Ge, Fuming You, Yang Wei, Zhongqian Sun, Haifeng Hu, Xiaobao Wang, Eng Siong Chng, Xie Chen, Longbiao Wang, Jianwu Dang |
| 2026 | WWW | A Unified Graph Clustering Network. | Renda Han, Xiaobao Wang, Longbiao Wang, Wenxin Zhang, Ronghao Fu, Kaiming Wang, Zeyu Zhang, Kuntharrgyal Khysru |
| 2026 | WWW | A Graph Foundation Model for Unified Anomaly Detection. | Renda Han, Xiaobao Wang, Luzhi Wang, Wenxin Zhang, Guangzhen Yao, Hongxiang Liang |
| 2026 | WWW | IVQ-GNN: Mitigating Performance Gap from Graph Connection Pattern Inconsistency via Vector Quantization. | Di Jin, Yixuan Du, Cuiying Huo, Xiaotong Huang, Ruqiong Zhang, Xiaobao Wang, Yawen Li |
| 2026 | WWW | Unveiling Backdoor Propagation in Graphs: Neuron-Centric Defense Mechanisms. | Di Jin, Bingdao Feng, Xiaobao Wang, Yuxiang Zhang, Zechuan Zhang, Liang Yang, Dongxiao He, Zhen Wang |
| 2026 | WWW | Cross-Type Semantic Alignment for Multi-Type Anomaly Detection in Heterogeneous Graphs. | Di Jin, Xiao Huang, Xiaobao Wang, Fengyu Yan, Luzhi Wang, Hongxiang Liang |
| 2025 | AAAI | Backdoor Attack on Propagation-based Rumor Detectors. | Di Jin, Yujun Zhang, Bingdao Feng, Xiaobao Wang, Dongxiao He, Zhen Wang |
| 2025 | AAAI | Enriching Multimodal Sentiment Analysis Through Textual Emotional Descriptions of Visual-Audio Content. | Sheng Wu, Dongxiao He, Xiaobao Wang, Longbiao Wang, Jianwu Dang |
| 2025 | AAAI | HeterGP: Bridging Heterogeneity in Graph Neural Networks with Multi-View Prompting. | Fengyu Yan, Xiaobao Wang, Dongxiao He, Longbiao Wang, Jianwu Dang, Di Jin |
| 2025 | DASFAA | rFedKD: A Reverse Federated Knowledge Distillation Method for Communication Efficiency. | Weijia Feng, Ruojia Zhang, Yichen Zhu, Chenyang Wang, Xiaobao Wang, Tarik Taleb |
| 2025 | ICASSP | Augmenting Short Enrollment Speech via Synthesis for Target Speaker Extraction. | Zikang Huang, Jingru Lin, Meng Ge, Yu Jiang, Xiaobao Wang, Longbiao Wang, Jianwu Dang |
| 2025 | ICASSP | Discrete Unit-based Low-latency Multi-lingual Speech Synthesis for LIMMITS'25 Challenge. | Yu Jiang, Cheng Gong, Tianrui Wang, Chunyu Qiang, Haoyu Wang, Qiuyu Liu, Yuheng Lu, Xiaobao Wang, Xiaolei Zhang, Longbiao Wang, Jianwu Dang |
| 2025 | ICASSP | A Prompt Learning Framework with Large Language Model Augmentation for Few-shot Multi-label Intent Detection. | Ning Zhuang, Xiao Wei, Junlei Li, Xiaobao Wang, Chenyang Wang, Longbiao Wang, Jianwu Dang |
| 2025 | IJCAI | Rethinking Contrastive Learning in Graph Anomaly Detection: A Clean-View Perspective. | Di Jin, Jingyi Cao, Xiaobao Wang, Bingdao Feng, Dongxiao He, Longbiao Wang, Jianwu Dang |
| 2025 | IJCAI | A Dynamic Knowledge Update-Driven Model with Large Language Models for Fake News Detection. | Di Jin, Jun Yang, Xiaobao Wang, Junwei Zhang, Shuqi Li, Dongxiao He |
| 2025 | IJCAI | Exploiting Self-Refining Normal Graph Structures for Robust Defense against Unsupervised Adversarial Attacks. | Bingdao Feng, Di Jin, Xiaobao Wang, Dongxiao He, Jingyi Cao, Zhen Wang |
| 2025 | IJCAI | Active Multimodal Distillation for Few-shot Action Recognition. | Weijia Feng, Yichen Zhu, Ruojia Zhang, Chenyang Wang, Fei Ma, Xiaobao Wang, Xiaobai Li |
| 2025 | IJCAI | Single-Node Trigger Backdoor Attacks in Graph-Based Recommendation Systems. | Runze Li, Di Jin, Xiaobao Wang, Dongxiao He, Bingdao Feng, Zhen Wang |
| 2025 | IJCAI | Integration of Old and New Knowledge for Generalized Intent Discovery: A Consistency-driven Prototype-Prompting Framework. | Xiao Wei, Xiaobao Wang, Ning Zhuang, Chenyang Wang, Longbiao Wang, Jianwu Dang |
| 2025 | WWW | Str-GCL: Structural Commonsense Driven Graph Contrastive Learning. | Dongxiao He, Yongqi Huang, Jitao Zhao, Xiaobao Wang, Zhen Wang |
| 2024 | AAAI | Unveiling Implicit Deceptive Patterns in Multi-Modal Fake News via Neuro-Symbolic Reasoning. | Yiqi Dong, Dongxiao He, Xiaobao Wang, Youzhu Jin, Meng Ge, Carl Yang, Di Jin |
| 2024 | IJCAI | Multi-Modal Sarcasm Detection Based on Dual Generative Processes. | Huiying Ma, Dongxiao He, Xiaobao Wang, Di Jin, Meng Ge, Longbiao Wang |
| 2023 | AAAI | Local-Global Defense against Unsupervised Adversarial Attacks on Graphs. | Di Jin, Bingdao Feng, Siqi Guo, Xiaobao Wang, Jianguo Wei, Zhen Wang |
| 2023 | AAAI | Augmenting Affective Dependency Graph via Iterative Incongruity Graph Learning for Sarcasm Detection. | Xiaobao Wang, Yiqi Dong, Di Jin, Yawen Li, Longbiao Wang, Jianwu Dang |
| 2023 | ICASSP | Speech and Noise Dual-Stream Spectrogram Refine Network With Speech Distortion Loss For Robust Speech Recognition. | Haoyu Lu, Nan Li, Tongtong Song, Longbiao Wang, Jianwu Dang, Xiaobao Wang, Shiliang Zhang |
| 2023 | IJCAI | A Generalized Deep Markov Random Fields Framework for Fake News Detection. | Yiqi Dong, Dongxiao He, Xiaobao Wang, Yawen Li, Xiaowen Su, Di Jin |
| 2023 | IJCAI | Commonsense Knowledge Enhanced Sentiment Dependency Graph for Sarcasm Detection. | Zhe Yu, Di Jin, Xiaobao Wang, Yawen Li, Longbiao Wang, Jianwu Dang |
| 2023 | IJCNN | Local and Global Context Modeling with Relation Matching Task for Dialog Act Recognition. | Yuke Si, Yan Zhang, Yuhang Li, Xiaobao Wang, Longbiao Wang, Jianwu Dang, Eng Siong Chng, Haizhou Li |
| 2023 | Interspeech | Improving Zero-shot Cross-domain Slot Filling via Transformer-based Slot Semantics Fusion. | Yuhang Li, Xiao Wei, Yuke Si, Longbiao Wang, Xiaobao Wang, Jianwu Dang |
| 2023 | ICTAI | Multi-Modal Sarcasm Detection Based on Cross-Modal Composition of Inscribed Entity Relations. | Lingshan Li, Di Jin, Xiaobao Wang, Fengyu Guo, Longbiao Wang, Jianwu Dang |
| 2022 | Interspeech | Improve emotional speech synthesis quality by learning explicit and implicit representations with semi-supervised training. | Jiaxu He, Cheng Gong, Longbiao Wang, Di Jin, Xiaobao Wang, Junhai Xu, Jianwu Dang |
| 2022 | WWW | Inflation Improves Graph Neural Networks. | Dongxiao He, Rui Guo, Xiaobao Wang, Di Jin, Yuxiao Huang, Wenjun Wang |
| 2020 | AAAI | Topic Enhanced Sentiment Spreading Model in Social Networks Considering User Interest. | Xiaobao Wang, Di Jin, Katarzyna Musial, Jianwu Dang |
| 2019 | CIKM | Emotional Contagion-Based Social Sentiment Mining in Social Networks by Introducing Network Communities. | Xiaobao Wang, Di Jin, Mengquan Liu, Dongxiao He, Katarzyna Musial, Jianwu Dang |
| 2018 | AAAI | Robust Detection of Link Communities in Large Social Networks by Exploiting Link Semantics. | Di Jin, Xiaobao Wang, Ruifang He, Dongxiao He, Jianwu Dang, Weixiong Zhang |
| 2017 | AAAI | Joint Identification of Network Communities and Semantics via Integrative Modeling of Network Topologies and Node Contents. | Dongxiao He, Zhiyong Feng, Di Jin, Xiaobao Wang, Weixiong Zhang |
| 2017 | IOLTS | Field profiling & monitoring of payload transistors in FPGAs. | Da Cheng, Amitava Majumdar, Xiaobao Wang, Nui Chong |
| 2017 | ICTAI | Identification of Generalized Communities with Semantics in Networks with Content. | Di Jin, Xiaobao Wang, Dongxiao He, Wenhuan Lu, Franoise Fogelman-Souli, Jianwu Dang |
| 2002 | VTC | MRTS traction power supply system simulation using Matlab/Simulink. | Di Yu, K. L. Lo, Xiaodong Wang, Xiaobao Wang |