| 2026 | ACL | ReEx-SQL: Reasoning with Execution-Aware Reinforcement Learning for Text-to-SQL. | Yaxun Dai, Wenxuan Xie, Xialie Zhuang, Tianyu Yang, Ziyi Liu, Haiqin Yang, Yiying Yang, Yuhang Zhao, Pingfu Chao, Wenhao Jiang |
| 2026 | ACL | Beyond Prompt Engineering: A Systematic Analysis of Prompt Lexical Sensitivity and Its Impacts on Quality. | Qipeng Xie, Zi Liang, Jiafei Wu, Yufei Chen, Weizheng Wang, Wenao Ma, Zhong Ming, Haiqin Yang, Kaishun Wu |
| 2026 | EACL | Sparse Adapter Fusion for Continual Learning in NLP. | Min Zeng, Xi Chen, Haiqin Yang, Yike Guo |
| 2025 | ACL | PARSQL: Enhancing Text-to-SQL through SQL Parsing and Reasoning. | Yaxun Dai, Haiqin Yang, Hao Mou, Pingfu Chao |
| 2025 | EMNLP | Intrinsic Test of Unlearning Using Parametric Knowledge Traces. | Yihuai Hong, Lei Yu, Haiqin Yang, Shauli Ravfogel, Mor Geva |
| 2025 | EMNLP | Let's Play Across Cultures: A Large Multilingual, Multicultural Benchmark for Assessing Language Models' Understanding of Sports. | Punit Kumar Singh, Nishant Kumar, Akash Ghosh, Kunal Pasad, Khushi Soni, Manisha Jaishwal, Sriparna Saha, Syukron Abu Ishaq Alfarozi, Asres Temam Abagissa, Kitsuchart Pasupa, Haiqin Yang, Jos G. Moreno |
| 2025 | ICDE | Natural Language Interfaces for Tabular Data Querying and Visualization: A Survey (Extended Abstract). | Weixu Zhang, Yifei Wang, Yuanfeng Song, Victor Junqiu Wei, Yuxing Tian, Yiyan Qi, Jonathan H. Chan, Raymond Chi-Wing Wong, Haiqin Yang |
| 2025 | NAACL | Task-wrapped Continual Learning in Task-Oriented Dialogue Systems. | Min Zeng, Haiqin Yang, Xi Chen, Yike Guo |
| 2024 | ACL | A Two-Agent Game for Zero-shot Relation Triplet Extraction. | Ting Xu, Haiqin Yang, Fei Zhao, Zhen Wu, Xinyu Dai |
| 2024 | EMNLP | Dissecting Fine-Tuning Unlearning in Large Language Models. | Yihuai Hong, Yuelin Zou, Lijie Hu, Ziqian Zeng, Di Wang, Haiqin Yang |
| 2024 | ICASSP | Unleashing Trigger-Free Event Detection: Revealing Event Correlations Via a Contrastive Derangement Framework. | Hongzhan Lin, Haiqin Yang, Ziyang Luo, Jing Ma |
| 2024 | UAI | Dirichlet Continual Learning: Tackling Catastrophic Forgetting in NLP. | Min Zeng, Haiqin Yang, Wei Xue, Qifeng Liu, Yike Guo |
| 2023 | ACL | A Unified One-Step Solution for Aspect Sentiment Quad Prediction. | Junxian Zhou, Haiqin Yang, Yuxuan He, Hao Mou, Junbo Yang |
| 2023 | ACL | A Diffusion Model for Event Skeleton Generation. | Fangqi Zhu, Lin Zhang, Jun Gao, Bing Qin, Ruifeng Xu, Haiqin Yang |
| 2023 | ICML | D2Match: Leveraging Deep Learning and Degeneracy for Subgraph Matching. | Xuanzhou Liu, Lin Zhang, Jiaqi Sun, Yujiu Yang, Haiqin Yang |
| 2023 | ICML | Do Not Train It: A Linear Neural Architecture Search of Graph Neural Networks. | Peng Xu, Lin Zhang, Xuanzhou Liu, Jiaqi Sun, Yue Zhao, Haiqin Yang, Bei Yu |
| 2022 | IJCAI | Vision-and-Language Pretrained Models: A Survey. | Siqu Long, Feiqi Cao, Soyeon Caren Han, Haiqin Yang |
| 2021 | DASFAA | KGSynNet: A Novel Entity Synonyms Discovery Framework with Knowledge Graph. | Yiying Yang, Xi Yin, Haiqin Yang, Xingjian Fei, Hao Peng, Kaijie Zhou, Kunfeng Lai, Jianping Shen |
| 2021 | IJCAI | Progressive Open-Domain Response Generation with Multiple Controllable Attributes. | Haiqin Yang, Xiaoyuan Yao, Yiqun Duan, Jianping Shen, Jie Zhong, Kun Zhang |
| 2021 | IJCNN | RefBERT: Compressing BERT by Referencing to Pre-computed Representations. | Xinyi Wang, Haiqin Yang, Liang Zhao, Yang Mo, Jianping Shen |
| 2021 | IJCNN | Emotion Dynamics Modeling via BERT. | Haiqin Yang, Jianping Shen |
| 2021 | WWW | Automatic Intent-Slot Induction for Dialogue Systems. | Zengfeng Zeng, Dan Ma, Haiqin Yang, Zhen Gou, Jianping Shen |
| 2019 | NAACL | HiGRU: Hierarchical Gated Recurrent Units for Utterance-Level Emotion Recognition. | Wenxiang Jiao, Haiqin Yang, Irwin King, Michael R. Lyu |
| 2018 | ICONIP | Neural Machine Translation for Financial Listing Documents. | Linkai Luo, Haiqin Yang, Sai Cheong Siu, Francis Yuk-Lun Chin |
| 2018 | IJCAI | TreeNet: Learning Sentence Representations with Unconstrained Tree Structure. | Zhou Cheng, Chun Yuan, Jiancheng Li, Haiqin Yang |
| 2018 | ISNN | A Broad Neural Network Structure for Class Incremental Learning. | Wenzhang Liu, Haiqin Yang, Yuewen Sun, Changyin Sun |
| 2017 | AAAI | Efficient Non-Oblivious Randomized Reduction for Risk Minimization with Improved Excess Risk Guarantee. | Yi Xu, Haiqin Yang, Lijun Zhang, Tianbao Yang |
| 2017 | ICONIP | Heterogeneous Features Integration in Deep Knowledge Tracing. | Lap Pong Cheung, Haiqin Yang |
| 2016 | AAAI | STELLAR: Spatial-Temporal Latent Ranking for Successive Point-of-Interest Recommendation. | Shenglin Zhao, Tong Zhao, Haiqin Yang, Michael R. Lyu, Irwin King |
| 2016 | IJCNN | Distributed Information-Theoretic Metric Learning in Apache Spark. | Yuxin Su, Haiqin Yang, Irwin King, Michael R. Lyu |
| 2016 | IJCNN | Online non-negative dictionary learning via moment information for sparse Poisson coding. | Xiaotian Yu, Haiqin Yang, Irwin King, Michael R. Lyu |
| 2015 | AAAI | Kernelized Online Imbalanced Learning with Fixed Budgets. | Junjie Hu, Haiqin Yang, Irwin King, Michael R. Lyu, Anthony Man-Cho So |
| 2015 | IJCAI | Training-Efficient Feature Map for Shift-Invariant Kernels. | Xixian Chen, Haiqin Yang, Irwin King, Michael R. Lyu |
| 2015 | WSDM | WSDM'15 Workshop Summary / Scalable Data Analytics: Theory and Applications. | Kaizhu Huang, Haiqin Yang, Irwin King, Michael R. Lyu |
| 2014 | ICONIP | Non-monotonic Feature Selection for Regression. | Haiqin Yang, Zenglin Xu, Irwin King, Michael R. Lyu |
| 2013 | IJCAI | Where You Like to Go Next: Successive Point-of-Interest Recommendation. | Chen Cheng, Haiqin Yang, Michael R. Lyu, Irwin King |
| 2012 | AAAI | Fused Matrix Factorization with Geographical and Social Influence in Location-Based Social Networks. | Chen Cheng, Haiqin Yang, Irwin King, Michael R. Lyu |
| 2012 | IJCNN | Online learning for collaborative filtering. | Guang Ling, Haiqin Yang, Irwin King, Michael R. Lyu |
| 2012 | UAI | Response Aware Model-Based Collaborative Filtering. | Guang Ling, Haiqin Yang, Michael R. Lyu, Irwin King |
| 2011 | CIKM | Can irrelevant data help semi-supervised learning, why and how? | Haiqin Yang, Shenghuo Zhu, Irwin King, Michael R. Lyu |
| 2010 | CIKM | Online learning for multi-task feature selection. | Haiqin Yang, Irwin King, Michael R. Lyu |
| 2010 | ICML | Simple and Efficient Multiple Kernel Learning by Group Lasso. | Zenglin Xu, Rong Jin, Haiqin Yang, Irwin King, Michael R. Lyu |
| 2010 | ICML | Online Learning for Group Lasso. | Haiqin Yang, Zenglin Xu, Irwin King, Michael R. Lyu |
| 2010 | IJCNN | Multi-task Learning for one-class classification. | Haiqin Yang, Irwin King, Michael R. Lyu |
| 2009 | ICONIP | Ensemble Learning for Imbalanced E-commerce Transaction Anomaly Classification. | Haiqin Yang, Irwin King |
| 2008 | ICONIP | Sprinkled Latent Semantic Indexing for Text Classification with Background Knowledge. | Haiqin Yang, Irwin King |
| 2008 | IJCNN | Efficient Minimax Clustering Probability Machine by Generalized Probability Product Kernel. | Haiqin Yang, Kaizhu Huang, Irwin King, Michael R. Lyu |
| 2006 | IJCNN | Local Support Vector Regression for Financial Time Series Prediction. | Kaizhu Huang, Haiqin Yang, Irwin King, Michael R. Lyu |
| 2004 | CVPR | Learning Classifiers from Imbalanced Data Based on Biased Minimax Probability Machine. | Kaizhu Huang, Haiqin Yang, Irwin King, Michael R. Lyu |
| 2004 | ICML | Learning large margin classifiers locally and globally. | Kaizhu Huang, Haiqin Yang, Irwin King, Michael R. Lyu |
| 2004 | ICONIP | Outliers Treatment in Support Vector Regression for Financial Time Series Prediction. | Haiqin Yang, Kaizhu Huang, Laiwan Chan, Irwin King, Michael R. Lyu |
| 2004 | ISAIM | Biased Minimax Probability Machine for Medical Diagnosis. | Kaizhu Huang, Haiqin Yang, Irwin King, Michael R. Lyu, Laiwan Chan |
| 2002 | IDEAL | Support Vector Machine Regression for Volatile Stock Market Prediction. | Haiqin Yang, Laiwan Chan, Irwin King |