| 2026 | DASFAA | Causal Inference Supervised Directed Knowledge Generation for Causal Discovery. | Xiabing Zhou, Yucheng Yao, Ye Zhang, Junhao Feng, Min Zhang |
| 2026 | KSEM | Bridging Emotion and Cause: A Prototype-Guided Contrastive Pathway for Few-Shot Understanding. | Xiabing Zhou, Junhao Feng, Ye Zhang, Na Jiang |
| 2026 | KSEM | PEER: Policy-Guided Evidence Extraction and Reasoning with Multi-grained Graphs for Document-Level ABSA. | Xiabing Zhou, Chenyan Yang, Na Jiang, Tianyu Liu |
| 2025 | COLING | COF: Adaptive Chain of Feedback for Comparative Opinion Quintuple Extraction. | Qingting Xu, Kaisong Song, Chaoqun Liu, Yangyang Kang, Xiabing Zhou, Jun Lin, Yu Hong |
| 2025 | DASFAA | DlGR-KB: Dual-Level Graph Reasoning with Key Block Decoupling for Multi-party Dialogue Reading Comprehension. | Rui Cao, Xiabing Zhou, Min Zhang, Guodong Zhou |
| 2025 | IJCNN | Learning From Each Other: Exploring A Novel Mutual Learning Paradigm for Enhancing Code Generation Performance. | Xin Ju, Ye Zhang, Xiabing Zhou, Min Zhang |
| 2024 | CIKM | Learning to Differentiate Pairwise-Argument Representations for Implicit Discourse Relation Recognition. | Zhipang Wang, Yu Hong, Yuxiang Lu, Xiabing Zhou, Jianmin Yao, Guodong Zhou |
| 2024 | ECAI | Improving Aspect-Based Sentiment Analysis via Tuple-Order Learning. | Gongzhen Hu, Yuanjun Liu, Xiabing Zhou, Min Zhang |
| 2024 | IJCNN | TGAT-DGL: Triple Graph Attention Networks on Dual-Granularity Level for Multi-party Dialogue Reading Comprehension. | Xiaoqian Gao, Xiabing Zhou, Rui Cao, Min Zhang |
| 2024 | IJCNN | Internal-External Information Enhanced Causal Reasoning. | Yucheng Yao, Fan Yang, Kaiyue Wang, Xiabing Zhou |
| 2024 | KSEM | M-HGN: Multi-information Enhanced Heterogeneous Graph Network for Multi-party Dialogue Reading Comprehension. | Xiaoqian Gao, Xiabing Zhou, Rui Cao, Min Zhang |
| 2024 | PAKDD | LEMT: A Label Enhanced Multi-task Learning Framework for Malevolent Dialogue Response Detection. | Kaiyue Wang, Fan Yang, Yucheng Yao, Xiabing Zhou |
| 2023 | EACL | Friend-training: Learning from Models of Different but Related Tasks. | Mian Zhang, Lifeng Jin, Linfeng Song, Haitao Mi, Xiabing Zhou, Dong Yu |
| 2023 | EMNLP | G-SPEED: General SParse Efficient Editing MoDel. | Haoke Zhang, Yue Wang, Juntao Li, Xiabing Zhou, Min Zhang |
| 2023 | ICASSP | Emotion Recognition in Conversation from Variable-Length Context. | Mian Zhang, Xiabing Zhou, Wenliang Chen, Min Zhang |
| 2023 | KSEM | A Pairing Enhancement Approach for Aspect Sentiment Triplet Extraction. | Fan Yang, Mian Zhang, Gongzhen Hu, Xiabing Zhou |
| 2022 | EMNLP | Exploring Logographic Image for Chinese Aspect-based Sentiment Classification. | Xiabing Zhou, Renjie Feng, Xiaotong Jiang, Zhongqing Wang |
| 2020 | COLING | Towards Accurate and Consistent Evaluation: A Dataset for Distantly-Supervised Relation Extraction. | Tong Zhu, Haitao Wang, Junjie Yu, Xiabing Zhou, Wenliang Chen, Wei Zhang, Min Zhang |
| 2019 | EMNLP | Emotion Detection with Neural Personal Discrimination. | Xiabing Zhou, Zhongqing Wang, Shoushan Li, Guodong Zhou, Min Zhang |
| 2015 | ICMLA | Learning Common Metrics for Homogenous Tasks in Traffic Flow Prediction. | Haikun Hong, Xiabing Zhou, Wenhao Huang, Xingxing Xing, Fei Chen, Yu Lei, Kaigui Bian, Kunqing Xie |
| 2015 | IJCNN | Improving deep neural network ensembles using reconstruction error. | Wenhao Huang, Haikun Hong, Kaigui Bian, Xiabing Zhou, Guojie Song, Kunqing Xie |
| 2015 | IJCNN | Probabilistic dynamic causal model for temporal data. | Xiabing Zhou, Wenhao Huang, Ni Zhang, Weisong Hu, Sizhen Du, Guojie Song, Kunqing Xie |