Support Vector Machine Regression for Volatile Stock Market Prediction. - Haiqin Yang; Laiwan Chan; Irwin King (IDEAL, 2002)

Learning Classifiers from Imbalanced Data Based on Biased Minimax Probability Machine. - Kaizhu Huang; Haiqin Yang; Irwin King; Michael R. Lyu (CVPR (2), 2004)

Learning large margin classifiers locally and globally. - Kaizhu Huang; Haiqin Yang; Irwin King; Michael R. Lyu (ICML, 2004)

Outliers Treatment in Support Vector Regression for Financial Time Series Prediction. - Haiqin Yang; Kaizhu Huang; Laiwan Chan; Irwin King; Michael R. Lyu (ICONIP, 2004)

Biased Minimax Probability Machine for Medical Diagnosis. - Kaizhu Huang; Haiqin Yang; Irwin King; Michael R. Lyu; Laiwan Chan (AI&M, 2004)

The Minimum Error Minimax Probability Machine. - Kaizhu Huang; Haiqin Yang; Irwin King; Michael R. Lyu; Laiwan Chan (J. Mach. Learn. Res., 2004)

Local Support Vector Regression for Financial Time Series Prediction. - Kaizhu Huang; Haiqin Yang; Irwin King; Michael R. Lyu (IJCNN, 2006)

Maximizing sensitivity in medical diagnosis using biased minimax probability Machine. - Kaizhu Huang; Haiqin Yang; Irwin King; Michael R. Lyu (IEEE Trans. Biomed. Eng., 2006)

Imbalanced learning with a biased minimax probability machine. - Kaizhu Huang; Haiqin Yang; Irwin King; Michael R. Lyu (IEEE Trans. Syst. Man Cybern. Part B, 2006)

Sprinkled Latent Semantic Indexing for Text Classification with Background Knowledge. - Haiqin Yang; Irwin King (ICONIP (2), 2008)

Efficient Minimax Clustering Probability Machine by Generalized Probability Product Kernel. - Haiqin Yang; Kaizhu Huang; Irwin King; Michael R. Lyu (IJCNN, 2008)

Maxi-Min Margin Machine: Learning Large Margin Classifiers Locally and Globally. - Kaizhu Huang; Haiqin Yang; Irwin King; Michael R. Lyu (IEEE Trans. Neural Networks, 2008)

Ensemble Learning for Imbalanced E-commerce Transaction Anomaly Classification. - Haiqin Yang; Irwin King (ICONIP (1), 2009)

Localized support vector regression for time series prediction. - Haiqin Yang; Kaizhu Huang; Irwin King; Michael R. Lyu (Neurocomputing, 2009)

Online learning for multi-task feature selection. - Haiqin Yang; Irwin King; Michael R. Lyu (CIKM, 2010)

Simple and Efficient Multiple Kernel Learning by Group Lasso. - Zenglin Xu; Rong Jin 001; Haiqin Yang; Irwin King; Michael R. Lyu (ICML, 2010)

Online Learning for Group Lasso. - Haiqin Yang; Zenglin Xu; Irwin King; Michael R. Lyu (ICML, 2010)

Multi-task Learning for one-class classification. - Haiqin Yang; Irwin King; Michael R. Lyu (IJCNN, 2010)

Can irrelevant data help semi-supervised learning, why and how? - Haiqin Yang; Shenghuo Zhu; Irwin King; Michael R. Lyu (CIKM, 2011)

Efficient Sparse Generalized Multiple Kernel Learning. - Haiqin Yang; Zenglin Xu; Jieping Ye; Irwin King; Michael R. Lyu (IEEE Trans. Neural Networks, 2011)

Fused Matrix Factorization with Geographical and Social Influence in Location-Based Social Networks. - Chen Cheng; Haiqin Yang; Irwin King; Michael R. Lyu (AAAI, 2012)

Online learning for collaborative filtering. - Guang Ling; Haiqin Yang; Irwin King; Michael R. Lyu (IJCNN, 2012)

Response Aware Model-Based Collaborative Filtering. - Guang Ling; Haiqin Yang; Michael R. Lyu; Irwin King (UAI, 2012)

Sparse Poisson coding for high dimensional document clustering. - Chenxia Wu; Haiqin Yang; Jianke Zhu; Jiemi Zhang; Irwin King; Michael R. Lyu (IEEE BigData, 2013)

Where You Like to Go Next: Successive Point-of-Interest Recommendation. - Chen Cheng; Haiqin Yang; Michael R. Lyu; Irwin King (IJCAI, 2013)

Efficient online learning for multitask feature selection. - Haiqin Yang; Michael R. Lyu; Irwin King (ACM Trans. Knowl. Discov. Data, 2013)

Non-monotonic Feature Selection for Regression. - Haiqin Yang; Zenglin Xu; Irwin King; Michael R. Lyu (ICONIP (2), 2014)

Kernelized Online Imbalanced Learning with Fixed Budgets. - Junjie Hu 001; Haiqin Yang; Irwin King; Michael R. Lyu; Anthony Man-Cho So (AAAI, 2015)

Training-Efficient Feature Map for Shift-Invariant Kernels. - Xixian Chen; Haiqin Yang; Irwin King; Michael R. Lyu (IJCAI, 2015)

WSDM'15 Workshop Summary / Scalable Data Analytics: Theory and Applications. - Kaizhu Huang; Haiqin Yang; Irwin King; Michael R. Lyu (WSDM, 2015)

Maximum margin semi-supervised learning with irrelevant data. - Haiqin Yang; Kaizhu Huang; Irwin King; Michael R. Lyu (Neural Networks, 2015)

Budget constrained non-monotonic feature selection. - Haiqin Yang; Zenglin Xu; Michael R. Lyu; Irwin King (Neural Networks, 2015)

Boosting Response Aware Model-Based Collaborative Filtering. - Haiqin Yang; Guang Ling; Yuxin Su 001; Michael R. Lyu; Irwin King (IEEE Trans. Knowl. Data Eng., 2015)

STELLAR: Spatial-Temporal Latent Ranking for Successive Point-of-Interest Recommendation. - Shenglin Zhao; Tong Zhao 002; Haiqin Yang; Michael R. Lyu; Irwin King (AAAI, 2016)

Distributed Information-Theoretic Metric Learning in Apache Spark. - Yuxin Su 001; Haiqin Yang; Irwin King; Michael R. Lyu (IJCNN, 2016)

Online non-negative dictionary learning via moment information for sparse Poisson coding. - Xiaotian Yu; Haiqin Yang; Irwin King; Michael R. Lyu (IJCNN, 2016)

A Unified Point-of-Interest Recommendation Framework in Location-Based Social Networks. - Chen Cheng; Haiqin Yang; Irwin King; Michael R. Lyu (ACM Trans. Intell. Syst. Technol., 2016)

Efficient Non-Oblivious Randomized Reduction for Risk Minimization with Improved Excess Risk Guarantee. - Yi Xu 008; Haiqin Yang; Lijun Zhang 005; Tianbao Yang (AAAI, 2017)

Heterogeneous Features Integration in Deep Knowledge Tracing. - Lap Pong Cheung; Haiqin Yang (ICONIP (2), 2017)

BT-Nets: Simplifying Deep Neural Networks via Block Term Decomposition. - Guangxi Li; Jinmian Ye; Haiqin Yang; Di Chen; Shuicheng Yan; Zenglin Xu (CoRR, 2017)

A deep learning approach for predicting the quality of online health expert question-answering services. - Ze Hu; Zhan Zhang; Haiqin Yang; Qing Chen; Decheng Zuo (J. Biomed. Informatics, 2017)

Neural Machine Translation for Financial Listing Documents. - Linkai Luo; Haiqin Yang; Sai Cheong Siu; Francis Yuk-Lun Chin (ICONIP (5), 2018)

TreeNet: Learning Sentence Representations with Unconstrained Tree Structure. - Zhou Cheng; Chun Yuan; Jiancheng Li; Haiqin Yang (IJCAI, 2018)

A Broad Neural Network Structure for Class Incremental Learning. - Wenzhang Liu; Haiqin Yang; Yuewen Sun; Changyin Sun 001 (ISNN, 2018)

Implicit Heterogeneous Features Embedding in Deep Knowledge Tracing. - Haiqin Yang; Lap Pong Cheung (Cogn. Comput., 2018)

Predicting the quality of online health expert question-answering services with temporal features in a deep learning framework. - Ze Hu; Zhan Zhang; Haiqin Yang; Qing Chen; Rong Zhu; Decheng Zuo (Neurocomputing, 2018)

Factorization machines and deep views-based co-training for improving answer quality prediction in online health expert question-answering services. - Zhan Zhang; Ze Hu; Haiqin Yang; Rong Zhu; Decheng Zuo (J. Biomed. Informatics, 2018)

Online Nonlinear AUC Maximization for Imbalanced Data Sets. - Junjie Hu 001; Haiqin Yang; Michael R. Lyu; Irwin King; Anthony Man-Cho So (IEEE Trans. Neural Networks Learn. Syst., 2018)

HiGRU: Hierarchical Gated Recurrent Units for Utterance-Level Emotion Recognition. - Wenxiang Jiao; Haiqin Yang; Irwin King; Michael R. Lyu (NAACL-HLT (1), 2019)

BERT Meets Chinese Word Segmentation. - Haiqin Yang (CoRR, 2019)

FPAI at SemEval-2020 Task 10: A Query Enhanced Model with RoBERTa for Emphasis Selection. - Chenyang Guo; Xiaolong Hou; Junsong Ren; Lian-Xin Jiang; Yang Mo; Haiqin Yang; Jian-Ping Shen (SemEval@COLING, 2020)

UNIXLONG at SemEval-2020 Task 6: A Joint Model for Definition Extraction. - Shu-Yi Xie; Jian Ma; Haiqin Yang; Lian-Xin Jiang; Yang Mo; Jian-Ping Shen (SemEval@COLING, 2020)

Hierarchical Context Enhanced Multi-Domain Dialogue System for Multi-domain Task Completion. - Jingyuan Yang 010; Guang Liu 006; Yuzhao Mao; Zhiwei Zhao; Weiguo Gao; Xuan Li; Haiqin Yang; Jianping Shen (CoRR, 2020)

Block-term tensor neural networks. - Jinmian Ye; Guangxi Li; Di Chen; Haiqin Yang; Shandian Zhe; Zenglin Xu (Neural Networks, 2020)

Effective Data-Aware Covariance Estimator From Compressed Data. - Xixian Chen; Haiqin Yang; Shenglin Zhao; Michael R. Lyu; Irwin King (IEEE Trans. Neural Networks Learn. Syst., 2020)

KGSynNet: A Novel Entity Synonyms Discovery Framework with Knowledge Graph. - Yiying Yang; Xi Yin 007; Haiqin Yang; Xingjian Fei; Hao Peng 001; Kaijie Zhou; Kunfeng Lai; Jianping Shen (DASFAA (1), 2021)

Progressive Open-Domain Response Generation with Multiple Controllable Attributes. - Haiqin Yang; Xiaoyuan Yao; Yiqun Duan; Jianping Shen; Jie Zhong; Kun Zhang 001 (IJCAI, 2021)

RefBERT: Compressing BERT by Referencing to Pre-computed Representations. - Xinyi Wang 003; Haiqin Yang; Liang Zhao; Yang Mo; Jianping Shen (IJCNN, 2021)

Emotion Dynamics Modeling via BERT. - Haiqin Yang; Jianping Shen (IJCNN, 2021)

MagicPai at SemEval-2021 Task 7: Method for Detecting and Rating Humor Based on Multi-Task Adversarial Training. - Jian Ma; Shu-Yi Xie; Haiqin Yang; Lian-Xin Jiang; Mengyuan Zhou; Xiaoyi Ruan; Yang Mo (SemEval@ACL/IJCNLP, 2021)

Sattiy at SemEval-2021 Task 9: An Ensemble Solution for Statement Verification and Evidence Finding with Tables. - Xiaoyi Ruan; Meizhi Jin; Jian Ma; Haiqin Yang; Lian-Xin Jiang; Yang Mo; Mengyuan Zhou (SemEval@ACL/IJCNLP, 2021)

PALI at SemEval-2021 Task 2: Fine-Tune XLM-RoBERTa for Word in Context Disambiguation. - Shu-Yi Xie; Jian Ma; Haiqin Yang; Lian-Xin Jiang; Yang Mo; Jianping Shen (SemEval@ACL/IJCNLP, 2021)

Automatic Intent-Slot Induction for Dialogue Systems. - Zengfeng Zeng; Dan Ma; Haiqin Yang; Zhen Gou; Jianping Shen (WWW, 2021)

Sequential Attention Module for Natural Language Processing. - Mengyuan Zhou; Jian Ma; Haiqin Yang; Lian-Xin Jiang; Yang Mo (CoRR, 2021)

Making Online Sketching Hashing Even Faster. - Xixian Chen; Haiqin Yang; Shenglin Zhao; Irwin King; Michael R. Lyu (IEEE Trans. Knowl. Data Eng., 2021)

Vision-and-Language Pretrained Models: A Survey. - Siqu Long; Feiqi Cao; Soyeon Caren Han; Haiqin Yang (IJCAI, 2022)

Trigger-free Event Detection via Derangement Reading Comprehension. - Jiachen Zhao; Haiqin Yang (CoRR, 2022)

A Unified One-Step Solution for Aspect Sentiment Quad Prediction. - Junxian Zhou; Haiqin Yang; Yuxuan He; Hao Mou; Junbo Yang (ACL (Findings), 2023)

A Diffusion Model for Event Skeleton Generation. - Fangqi Zhu; Lin Zhang; Jun Gao; Bing Qin 001; Ruifeng Xu 001; Haiqin Yang (ACL (Findings), 2023)

D2Match: Leveraging Deep Learning and Degeneracy for Subgraph Matching. - Xuanzhou Liu; Lin Zhang; Jiaqi Sun; Yujiu Yang; Haiqin Yang (ICML, 2023)

Do Not Train It: A Linear Neural Architecture Search of Graph Neural Networks. - Peng Xu; Lin Zhang; Xuanzhou Liu; Jiaqi Sun; Yue Zhao 016; Haiqin Yang; Bei Yu 001 (ICML, 2023)

An Empirical Study of Benchmarking Chinese Aspect Sentiment Quad Prediction. - Junxian Zhou; Haiqin Yang; Junpeng Ye; Yuxuan He; Hao Mou (CoRR, 2023)

A Two-Agent Game for Zero-shot Relation Triplet Extraction. - Ting Xu 003; Haiqin Yang; Fei Zhao 012; Zhen Wu 002; Xinyu Dai (ACL (Findings), 2024)

Dissecting Fine-Tuning Unlearning in Large Language Models. - Yihuai Hong; Yuelin Zou; Lijie Hu; Ziqian Zeng; Di Wang 015; Haiqin Yang (EMNLP, 2024)

Unleashing Trigger-Free Event Detection: Revealing Event Correlations Via a Contrastive Derangement Framework. - Hongzhan Lin 001; Haiqin Yang; Ziyang Luo; Jing Ma 004 (ICASSP, 2024)

Dirichlet Continual Learning: Tackling Catastrophic Forgetting in NLP. - Min Zeng; Haiqin Yang; Wei Xue 002; Qifeng Liu; Yike Guo (UAI, 2024)

Intrinsic Evaluation of Unlearning Using Parametric Knowledge Traces. - Yihuai Hong; Lei Yu; Shauli Ravfogel; Haiqin Yang; Mor Geva (CoRR, 2024)

EasyECR: A Library for Easy Implementation and Evaluation of Event Coreference Resolution Models. - Yuncong Li; Tianhua Xu; Sheng-hua Zhong; Haiqin Yang (CoRR, 2024)

Towards Effective Collaborative Learning in Long-Tailed Recognition. - Zhengzhuo Xu; Zenghao Chai; Chengyin Xu; Chun Yuan; Haiqin Yang (IEEE Trans. Multim., 2024)

Natural Language Interfaces for Tabular Data Querying and Visualization: A Survey. - Weixu Zhang; Yifei Wang; Yuanfeng Song; Victor Junqiu Wei; Yuxing Tian; Yiyan Qi; Jonathan H. Chan; Raymond Chi-Wing Wong; Haiqin Yang (IEEE Trans. Knowl. Data Eng., 2024)

PARSQL: Enhancing Text-to-SQL through SQL Parsing and Reasoning. - Yaxun Dai; Haiqin Yang; Hao Mou; Pingfu Chao (ACL (Findings), 2025)

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 (ICDE, 2025)

Task-wrapped Continual Learning in Task-Oriented Dialogue Systems. - Min Zeng; Haiqin Yang; Xi Chen; Yike Guo (NAACL (Findings), 2025)

ReEx-SQL: Reasoning with Execution-Aware Reinforcement Learning for Text-to-SQL. - Yaxun Dai; Wenxuan Xie; Xialie Zhuang; Tianyu Yang 003; Yiying Yang; Haiqin Yang; Yuhang Zhao; Pingfu Chao; Wenhao Jiang (CoRR, 2025)