| 2026 | AAAI | Beyond Local Patterns: Multiscale Inconsistency Learning for Graph Anomaly Detection. | Jie Lian, Zhihao Wu, Jielong Lu, Jiajun Yu, Qianqian Shen, Haishuai Wang |
| 2026 | AAAI | Unifying Multi-View Knowledge for Graph Learning via Model Collaboration. | Zhihao Wu, Jielong Lu, Zihan Fang, Jinyu Cai, Guangyong Chen, Jiajun Bu, Haishuai Wang |
| 2026 | ACL | Beyond the Individual: Virtualizing Multi-Disciplinary Reasoning for Clinical Intake via Collaborative Agents. | Huangwei Chen, Wu Li, Junhao Jia, Yining Chen, Xiaotao Pang, YaLong Chen, Gonghui Li, Haishuai Wang, Jiajun Bu, Lei Wu |
| 2026 | ACL | SCOUT: Selective Coupling via Optimal Unbalanced Transport for Interpretable Text Classification. | Junhao Jia, Hanwen Zheng, Yueyi Wu, Huangwei Chen, Haishuai Wang, Jiajun Bu, Lei Wu |
| 2026 | ACL | RFS-Guard: Detecting Reasoning Hallucinations via Cross-Phase Routing Focus in Large Reasoning Models. | Zihang Liu, Zhouhua Fang, Hui Liu, Zhiwei Liu, Yong Li, Haishuai Wang |
| 2026 | PAKDD | MedGLM: Unifying Graph Neural Networks and Large Language Models for Knowledge Graph-Grounded Healthcare Prediction. | Tri Khang Ho, Linhao Luo, Zihang Liu, Haishuai Wang, Ling Chen |
| 2026 | WWW | Re-Diffusion: Modeling Latent Residuals with Diffusion for Time-Series Forecasting. | Boning Zhang, Haishuai Wang, Zehong Hu, Jiajun Wang, Hongyi Zhang, Jia Jia |
| 2026 | SIGIR | Efficient Memory Alignment for Long-term Conversational Information Seeking. | Qingyang Xu, Xiao Liu, Zhouhua Fang, Yong Li, Zhiwei Liu, Vincent Lee, Haishuai Wang |
| 2026 | SIGIR | Code-Based English Models Reveal Surprising Performance on Chinese QA Pair Extraction Task. | Jiajun Yu, Linghan Zheng, Hui Liu, Jiayuan Dong, Yue Shen, Zhiwei Liu, Yaozhen Liang, Yong Li, Haishuai Wang |
| 2025 | AAAI | Large Language Models Enhanced Personalized Graph Neural Architecture Search in Federated Learning. | Hui Fang, Yang Gao, Peng Zhang, Jiangchao Yao, Hongyang Chen, Haishuai Wang |
| 2025 | AAAI | MetaNeRV: Meta Neural Representations for Videos with Spatial-Temporal Guidance. | Jialong Guo, Ke Liu, Jiangchao Yao, Zhihua Wang, Jiajun Bu, Haishuai Wang |
| 2025 | ACL | EXPLAIN: Enhancing Retrieval-Augmented Generation with Entity Summary. | Yaozhen Liang, Xiao Liu, Jiajun Yu, Zhouhua Fang, Qunsheng Zou, Linghan Zheng, Yong Li, Zhiwei Liu, Haishuai Wang |
| 2025 | ACL | Long-form Hallucination Detection with Self-elicitation. | Zihang Liu, Jiawei Guo, Hao Zhang, Hongyang Chen, Jiajun Bu, Haishuai Wang |
| 2025 | CIKM | Learning from Graph: Mitigating Label Noise on Graph through Topological Feature Reconstruction. | Zhonghao Wang, Yuanchen Bei, Sheng Zhou, Zhiyao Zhou, Jiapei Fan, Hui Xue, Haishuai Wang, Jiajun Bu |
| 2025 | CVPR | Multi-modal Medical Diagnosis via Large-small Model Collaboration. | Wanyi Chen, Zihua Zhao, Jiangchao Yao, Ya Zhang, Jiajun Bu, Haishuai Wang |
| 2025 | ICDE | Characterizing Submanifold Region for Out-of-Distribution Detection: (Extended Abstract). | Xuhui Li, Zhen Fang, Yonggang Zhang, Ning Ma, Jiajun Bu, Bo Han, Haishuai Wang |
| 2025 | ICDM | Test-Time Graph Rebirth for GNN Generalization Under Distribution Shifts. | Xin Zheng, Bo Li, Yu Zheng, Qin Zhang, Haishuai Wang, Yuxuan Liang, Alan Wee-Chung Liew, Shirui Pan |
| 2025 | ICML | Efficient Personalized Adaptation for Physiological Signal Foundation Model. | Chenrui Wu, Haishuai Wang, Xiang Zhang, Chengqi Zhang, Jiajun Bu |
| 2025 | ICML | Towards a Unified Framework of Clustering-based Anomaly Detection. | Zeyu Fang, Ming Gu, Sheng Zhou, Jiawei Chen, Qiaoyu Tan, Haishuai Wang, Jiajun Bu |
| 2025 | IJCAI | ImputeINR: Time Series Imputation via Implicit Neural Representations for Disease Diagnosis with Missing Data. | Mengxuan Li, Ke Liu, Jialong Guo, Jiajun Bu, Hongwei Wang, Haishuai Wang |
| 2025 | IJCAI | Multi-Omics Analysis for Cancer Subtype Inference via Unrolling Graph Smoothness Priors. | Jielong Lu, Zhihao Wu, Jiajun Yu, Jiajun Bu, Haishuai Wang |
| 2025 | IJCAI | Divide and Conquer: Coordinating Multiplex Mixture of Graph Learners to Handle Multi-Omics Analysis. | Zhihao Wu, Jielong Lu, Jiajun Yu, Sheng Zhou, Yueyang Pi, Haishuai Wang |
| 2025 | IJCAI | A Centrality-based Graph Learning Framework. | Jiajun Yu, Zhihao Wu, Jielong Lu, Tianyue Wang, Haishuai Wang |
| 2025 | KDD | TSINR: Capturing Temporal Continuity via Implicit Neural Representations for Time Series Anomaly Detection. | Mengxuan Li, Ke Liu, Hongyang Chen, Jiajun Bu, Hongwei Wang, Haishuai Wang |
| 2025 | KDD | Enhancing Bone Mineral Density Estimation from X-ray Images with Cross-Modal Knowledge Distillation. | Keyue Shi, Qianqian Shen, Zhongda Qi, Junyao Yang, Zhaoming Ye, Jiajun Bu, Haishuai Wang |
| 2025 | WWW | Unraveling Spatial-Temporal and Out-of-Distribution Patterns for Multivariate Time Series Classification. | Xiao Liu, Yan Li, Haishuai Wang |
| 2024 | ECCV | Attention Beats Linear for Fast Implicit Neural Representation Generation. | Shuyi Zhang, Ke Liu, Jingjun Gu, Xiaoxu Cai, Zhihua Wang, Jiajun Bu, Haishuai Wang |
| 2024 | ICASSP | Inversive-Reasoning Augmentation for Natural Language Inference. | Xixi Zhou, Xin Jie, Sheng Zhou, Keyue Shi, Zhi Yu, Jiajun Bu, Haishuai Wang |
| 2024 | ICDE | CPDG: A Contrastive Pre-Training Method for Dynamic Graph Neural Networks. | Yuanchen Bei, Hao Xu, Sheng Zhou, Huixuan Chi, Haishuai Wang, Mengdi Zhang, Zhao Li, Jiajun Bu |
| 2024 | ICPR | Dense Coordinate Channel Attention Network for Depression Level Estimation from Speech. | Ziping Zhao, Shizhao Liu, Mingyue Niu, Haishuai Wang, Bjrn W. Schuller |
| 2024 | Interspeech | MFDR: Multiple-stage Fusion and Dynamically Refined Network for Multimodal Emotion Recognition. | Ziping Zhao, Tian Gao, Haishuai Wang, Bjrn W. Schuller |
| 2024 | NAACL | Matching Varying-Length Texts via Topic-Informed and Decoupled Sentence Embeddings. | Xixi Zhou, Chunbin Gu, Xin Jie, Jiajun Bu, Haishuai Wang |
| 2024 | WWW | Disentangled Anomaly Detection For Multivariate Time Series. | Xin Jie, Xixi Zhou, Chanfei Su, Zijun Zhou, Yuqing Yuan, Jiajun Bu, Haishuai Wang |
| 2024 | SIGIR | EASE-DR: Enhanced Sentence Embeddings for Dense Retrieval. | Xixi Zhou, Yang Gao, Xin Jie, Xiaoxu Cai, Jiajun Bu, Haishuai Wang |
| 2023 | ICASSP | Hierarchical Network with Decoupled Knowledge Distillation for Speech Emotion Recognition. | Ziping Zhao, Huan Wang, Haishuai Wang, Bjrn W. Schuller |
| 2023 | ICCV | Partition Speeds Up Learning Implicit Neural Representations Based on Exponential-Increase Hypothesis. | Ke Liu, Feng Liu, Haishuai Wang, Ning Ma, Jiajun Bu, Bo Han |
| 2023 | Interspeech | SWRR: Feature Map Classifier Based on Sliding Window Attention and High-Response Feature Reuse for Multimodal Emotion Recognition. | Ziping Zhao, Tian Gao, Haishuai Wang, Bjrn W. Schuller |
| 2023 | WWW | The 3rd International Workshop on Deep Learning for the Web of Things. | Cheng Shi, Chin-Chen Chang, Eyhab Al-Masri, Abel C. H. Chen, Haishuai Wang, Qichun Zhang, Hsiao-Ting Tseng, K. Shankar, Taehong Kim |
| 2022 | ICASSP | Automatic Respiratory Sound Classification Via Multi-Branch Temporal Convolutional Network. | Ziping Zhao, Zhen Gong, Mingyue Niu, Jiali Ma, Haishuai Wang, Zixing Zhang, Ya Li |
| 2022 | WWW | DLWoT'22: 2nd International Workshop on Deep Learning for the Web of Things. | Wenzhong Guo, Chin-Chen Chang, Eyhab Al-Masri, Chi-Hua Chen, Haishuai Wang, Qichun Zhang, K. Shankar |
| 2021 | AAAI | Semi-Discrete Social Recommendation (Student Abstract). | Fangyuan Luo, Jun Wu, Haishuai Wang |
| 2021 | CIKM | Fulfillment-Time-Aware Personalized Ranking for On-Demand Food Recommendation. | Haishuai Wang, Zhao Li, Xuanwu Liu, Donghui Ding, Zehong Hu, Peng Zhang, Chuan Zhou, Jiajun Bu |
| 2021 | CIKM | Crawler Detection in Location-Based Services Using Attributed Action Net. | Wei Xia, Fei Zhao, Haishuai Wang, Peng Zhang, Anhui Wang, Kang Li |
| 2021 | KDD | Live-Streaming Fraud Detection: A Heterogeneous Graph Neural Network Approach. | Haishuai Wang, Zhao Li, Peng Zhang, Jiaming Huang, Pengrui Hui, Jian Liao, Ji Zhang, Jiajun Bu |
| 2020 | AAAI | Logo-2K+: A Large-Scale Logo Dataset for Scalable Logo Classification. | Jing Wang, Weiqing Min, Sujuan Hou, Shengnan Ma, Yuanjie Zheng, Haishuai Wang, Shuqiang Jiang |
| 2020 | ICASSP | Hierarchical Attention Transfer Networks for Depression Assessment from Speech. | Ziping Zhao, Zhongtian Bao, Zixing Zhang, Nicholas Cummins, Haishuai Wang, Bjrn W. Schuller |
| 2020 | Interspeech | Hybrid Network Feature Extraction for Depression Assessment from Speech. | Ziping Zhao, Qifei Li, Nicholas Cummins, Bin Liu, Haishuai Wang, Jianhua Tao, Bjrn W. Schuller |
| 2019 | ICCS | Autism Screening Using Deep Embedding Representation. | Haishuai Wang, Li Li, Lianhua Chi, Ziping Zhao |
| 2019 | Interspeech | Attention-Enhanced Connectionist Temporal Classification for Discrete Speech Emotion Recognition. | Ziping Zhao, Zhongtian Bao, Zixing Zhang, Nicholas Cummins, Haishuai Wang, Bjrn W. Schuller |
| 2018 | Interspeech | Exploring Spatio-Temporal Representations by Integrating Attention-based Bidirectional-LSTM-RNNs and FCNs for Speech Emotion Recognition. | Ziping Zhao, Yu Zheng, Zixing Zhang, Haishuai Wang, Yiqin Zhao, Chao Li |
| 2018 | PRICAI | Binary Collaborative Filtering Ensemble. | Yujia Zhang, Jun Wu, Haishuai Wang |
| 2017 | AAAI | Boosting for Real-Time Multivariate Time Series Classification. | Haishuai Wang, Jun Wu |
| 2017 | IJCNN | Clickthrough refinement for improved graph ranking. | Yu He, Jun Wu, Haishuai Wang |
| 2017 | IJCNN | Universal network representation for heterogeneous information networks. | Ruiqi Hu, Celina Ping Yu, Sai-Fu Fung, Shirui Pan, Haishuai Wang, Guodong Long |
| 2016 | IJCNN | Evolutionary lazy learning for Naive Bayes classification. | Yu Bai, Haishuai Wang, Jia Wu, Yun Zhang, Jing Jiang, Guodong Long |
| 2016 | IJCNN | Mining subcascade features for cascade outbreak prediction in big networks. | Haishuai Wang, Jia Wu, Chuan Zhou, Zhenyan Ji, Jun Wu |
| 2015 | ADC | SocialAnalysis: A Real-Time Query and Mining System from Social Media Data Streams. | Haishuai Wang, Peng Zhang, Ling Chen, Chengqi Zhang |
| 2015 | CIKM | Defragging Subgraph Features for Graph Classification. | Haishuai Wang, Peng Zhang, Ivor W. Tsang, Ling Chen, Chengqi Zhang |
| 2015 | ICONIP | Mining Top-k Minimal Redundancy Frequent Patterns over Uncertain Databases. | Haishuai Wang, Peng Zhang, Jia Wu, Shirui Pan |
| 2015 | IJCNN | Online diffusion source detection in social networks. | Haishuai Wang, Peng Zhang, Ling Chen, Huan Liu, Chengqi Zhang |