Haiqin Yang - RankMe

117 papers A* 19A 5B 9C 2Misc 1Journal 55Unranked 21

Year	Rank	Type	Title / Venue / Authors
2026	—	`conf`	Sparse Adapter Fusion for Continual Learning in NLP. EACL (Volume 1: Long Papers) Min Zeng, Xi Chen, Haiqin Yang, Yike Guo
2026	J	`jnl`	Sparse Adapter Fusion for Continual Learning in NLP. CoRR Min Zeng, Xi Chen, Haiqin Yang, Yike Guo
2025	J	`jnl`	Boosting Long-Tailed Recognition With Label Descriptor and Beyond. IEEE Trans. Multim. Zhengzhuo Xu, Ruikang Liu, Zenghao Chai, Yiyan Qi, Lei Li, Haiqin Yang, Chun Yuan
2025	A*	`conf`	Intrinsic Test of Unlearning Using Parametric Knowledge Traces. EMNLP Yihuai Hong, Lei Yu, Haiqin Yang, Shauli Ravfogel, Mor Geva
2025	A*	`conf`	Let's Play Across Cultures: A Large Multilingual, Multicultural Benchmark for Assessing Language Models' Understanding of Sports. EMNLP 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, José G. Moreno
2025	J	`jnl`	Let's Play Across Cultures: A Large Multilingual, Multicultural Benchmark for Assessing Language Models' Understanding of Sports. CoRR 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, José G. Moreno
2025	A*	`conf`	Natural Language Interfaces for Tabular Data Querying and Visualization: A Survey (Extended Abstract). ICDE Weixu Zhang, Yifei Wang, Yuanfeng Song, Victor Junqiu Wei, Yuxing Tian, Yiyan Qi, Jonathan H. Chan, Raymond Chi-Wing Wong, Haiqin Yang
2025	—	`conf`	PARSQL: Enhancing Text-to-SQL through SQL Parsing and Reasoning. ACL (Findings) Yaxun Dai, Haiqin Yang, Hao Mou, Pingfu Chao
2025	J	`jnl`	ReEx-SQL: Reasoning with Execution-Aware Reinforcement Learning for Text-to-SQL. CoRR Yaxun Dai, Wenxuan Xie, Xialie Zhuang, Tianyu Yang, Yiying Yang, Haiqin Yang, Yuhang Zhao, Pingfu Chao, Wenhao Jiang
2025	—	`conf`	Task-wrapped Continual Learning in Task-Oriented Dialogue Systems. NAACL (Findings) Min Zeng, Haiqin Yang, Xi Chen, Yike Guo
2024	—	`conf`	A Two-Agent Game for Zero-shot Relation Triplet Extraction. ACL (Findings) Ting Xu, Haiqin Yang, Fei Zhao, Zhen Wu, Xinyu Dai
2024	A	`conf`	Dirichlet Continual Learning: Tackling Catastrophic Forgetting in NLP. UAI Min Zeng, Haiqin Yang, Wei Xue, Qifeng Liu, Yike Guo
2024	A*	`conf`	Dissecting Fine-Tuning Unlearning in Large Language Models. EMNLP Yihuai Hong, Yuelin Zou, Lijie Hu, Ziqian Zeng, Di Wang, Haiqin Yang
2024	J	`jnl`	Dissecting Fine-Tuning Unlearning in Large Language Models. CoRR Yihuai Hong, Yuelin Zou, Lijie Hu, Ziqian Zeng, Di Wang, Haiqin Yang
2024	J	`jnl`	EasyECR: A Library for Easy Implementation and Evaluation of Event Coreference Resolution Models. CoRR Yuncong Li, Tianhua Xu, Sheng-hua Zhong, Haiqin Yang
2024	J	`jnl`	Intrinsic Evaluation of Unlearning Using Parametric Knowledge Traces. CoRR Yihuai Hong, Lei Yu, Shauli Ravfogel, Haiqin Yang, Mor Geva
2024	J	`jnl`	Natural Language Interfaces for Tabular Data Querying and Visualization: A Survey. IEEE Trans. Knowl. Data Eng. Weixu Zhang, Yifei Wang, Yuanfeng Song, Victor Junqiu Wei, Yuxing Tian, Yiyan Qi, Jonathan H. Chan, Raymond Chi-Wing Wong, Haiqin Yang
2024	J	`jnl`	Towards Effective Collaborative Learning in Long-Tailed Recognition. IEEE Trans. Multim. Zhengzhuo Xu, Zenghao Chai, Chengyin Xu, Chun Yuan, Haiqin Yang
2024	Misc	`conf`	Unleashing Trigger-Free Event Detection: Revealing Event Correlations Via a Contrastive Derangement Framework. ICASSP Hongzhan Lin, Haiqin Yang, Ziyang Luo, Jing Ma
2023	—	`conf`	A Diffusion Model for Event Skeleton Generation. ACL (Findings) Fangqi Zhu, Lin Zhang, Jun Gao, Bing Qin, Ruifeng Xu, Haiqin Yang
2023	J	`jnl`	A Diffusion Model for Event Skeleton Generation. CoRR Fangqi Zhu, Lin Zhang, Jun Gao, Bing Qin, Ruifeng Xu, Haiqin Yang
2023	—	`conf`	A Unified One-Step Solution for Aspect Sentiment Quad Prediction. ACL (Findings) Junxian Zhou, Haiqin Yang, Yuxuan He, Hao Mou, Junbo Yang
2023	J	`jnl`	A Unified One-Step Solution for Aspect Sentiment Quad Prediction. CoRR Junxian Zhou, Haiqin Yang, Yuxuan He, Hao Mou, Junbo Yang
2023	J	`jnl`	An Empirical Study of Benchmarking Chinese Aspect Sentiment Quad Prediction. CoRR Junxian Zhou, Haiqin Yang, Junpeng Ye, Yuxuan He, Hao Mou
2023	A*	`conf`	D2Match: Leveraging Deep Learning and Degeneracy for Subgraph Matching. ICML Xuanzhou Liu, Lin Zhang, Jiaqi Sun, Yujiu Yang, Haiqin Yang
2023	J	`jnl`	D2Match: Leveraging Deep Learning and Degeneracy for Subgraph Matching. CoRR Xuanzhou Liu, Lin Zhang, Jiaqi Sun, Yujiu Yang, Haiqin Yang
2023	A*	`conf`	Do Not Train It: A Linear Neural Architecture Search of Graph Neural Networks. ICML Peng Xu, Lin Zhang, Xuanzhou Liu, Jiaqi Sun, Yue Zhao, Haiqin Yang, Bei Yu
2023	J	`jnl`	Natural Language Interfaces for Tabular Data Querying and Visualization: A Survey. CoRR Weixu Zhang, Yifei Wang, Yuanfeng Song, Victor Junqiu Wei, Yuxing Tian, Yiyan Qi, Jonathan H. Chan, Raymond Chi-Wing Wong, Haiqin Yang
2023	J	`jnl`	Towards Effective Collaborative Learning in Long-Tailed Recognition. CoRR Zhengzhuo Xu, Zenghao Chai, Chengyin Xu, Chun Yuan, Haiqin Yang
2022	J	`jnl`	Trigger-free Event Detection via Derangement Reading Comprehension. CoRR Jiachen Zhao, Haiqin Yang
2022	A*	`conf`	Vision-and-Language Pretrained Models: A Survey. IJCAI Siqu Long, Feiqi Cao, Soyeon Caren Han, Haiqin Yang
2022	J	`jnl`	Vision-and-Language Pretrained Models: A Survey. CoRR Siqu Long, Feiqi Cao, Soyeon Caren Han, Haiqin Yang
2021	A*	`conf`	Automatic Intent-Slot Induction for Dialogue Systems. WWW Zengfeng Zeng, Dan Ma, Haiqin Yang, Zhen Gou, Jianping Shen
2021	J	`jnl`	Automatic Intent-Slot Induction for Dialogue Systems. CoRR Zengfeng Zeng, Dan Ma, Haiqin Yang, Zhen Gou, Jianping Shen
2021	B	`conf`	Emotion Dynamics Modeling via BERT. IJCNN Haiqin Yang, Jianping Shen
2021	J	`jnl`	Emotion Dynamics Modeling via BERT. CoRR Haiqin Yang, Jianping Shen
2021	—	`conf`	KGSynNet: A Novel Entity Synonyms Discovery Framework with Knowledge Graph. DASFAA (1) Yiying Yang, Xi Yin, Haiqin Yang, Xingjian Fei, Hao Peng, Kaijie Zhou, Kunfeng Lai, Jianping Shen
2021	J	`jnl`	KGSynNet: A Novel Entity Synonyms Discovery Framework with Knowledge Graph. CoRR Yiying Yang, Xi Yin, Haiqin Yang, Xingjian Fei, Hao Peng, Kaijie Zhou, Kunfeng Lai, Jianping Shen
2021	—	`conf`	MagicPai at SemEval-2021 Task 7: Method for Detecting and Rating Humor Based on Multi-Task Adversarial Training. SemEval@ACL/IJCNLP Jian Ma, Shu-Yi Xie, Haiqin Yang, Lian-Xin Jiang, Mengyuan Zhou, Xiaoyi Ruan, Yang Mo
2021	J	`jnl`	MagicPai at SemEval-2021 Task 7: Method for Detecting and Rating Humor Based on Multi-Task Adversarial Training. CoRR Jian Ma, Shu-Yi Xie, Haiqin Yang, Lian-Xin Jiang, Mengyuan Zhou, Xiaoyi Ruan, Yang Mo
2021	J	`jnl`	Making Online Sketching Hashing Even Faster. IEEE Trans. Knowl. Data Eng. Xixian Chen, Haiqin Yang, Shenglin Zhao, Irwin King, Michael R. Lyu
2021	—	`conf`	PALI at SemEval-2021 Task 2: Fine-Tune XLM-RoBERTa for Word in Context Disambiguation. SemEval@ACL/IJCNLP Shu-Yi Xie, Jian Ma, Haiqin Yang, Lian-Xin Jiang, Yang Mo, Jianping Shen
2021	J	`jnl`	PALI at SemEval-2021 Task 2: Fine-Tune XLM-RoBERTa for Word in Context Disambiguation. CoRR Shu-Yi Xie, Jian Ma, Haiqin Yang, Lian-Xin Jiang, Yang Mo, Jianping Shen
2021	A*	`conf`	Progressive Open-Domain Response Generation with Multiple Controllable Attributes. IJCAI Haiqin Yang, Xiaoyuan Yao, Yiqun Duan, Jianping Shen, Jie Zhong, Kun Zhang
2021	J	`jnl`	Progressive Open-Domain Response Generation with Multiple Controllable Attributes. CoRR Haiqin Yang, Xiaoyuan Yao, Yiqun Duan, Jianping Shen, Jie Zhong, Kun Zhang
2021	B	`conf`	RefBERT: Compressing BERT by Referencing to Pre-computed Representations. IJCNN Xinyi Wang, Haiqin Yang, Liang Zhao, Yang Mo, Jianping Shen
2021	J	`jnl`	RefBERT: Compressing BERT by Referencing to Pre-computed Representations. CoRR Xinyi Wang, Haiqin Yang, Liang Zhao, Yang Mo, Jianping Shen
2021	—	`conf`	Sattiy at SemEval-2021 Task 9: An Ensemble Solution for Statement Verification and Evidence Finding with Tables. SemEval@ACL/IJCNLP Xiaoyi Ruan, Meizhi Jin, Jian Ma, Haiqin Yang, Lian-Xin Jiang, Yang Mo, Mengyuan Zhou
2021	J	`jnl`	Sattiy at SemEval-2021 Task 9: An Ensemble Solution for Statement Verification and Evidence Finding with Tables. CoRR Xiaoyi Ruan, Meizhi Jin, Jian Ma, Haiqin Yang, Lian-Xin Jiang, Yang Mo, Mengyuan Zhou
2021	J	`jnl`	Sequential Attention Module for Natural Language Processing. CoRR Mengyuan Zhou, Jian Ma, Haiqin Yang, Lian-Xin Jiang, Yang Mo
2020	J	`jnl`	Block-term Tensor Neural Networks. CoRR Jinmian Ye, Guangxi Li, Di Chen, Haiqin Yang, Shandian Zhe, Zenglin Xu
2020	J	`jnl`	Block-term tensor neural networks. Neural Networks Jinmian Ye, Guangxi Li, Di Chen, Haiqin Yang, Shandian Zhe, Zenglin Xu
2020	J	`jnl`	Effective Data-Aware Covariance Estimator From Compressed Data. IEEE Trans. Neural Networks Learn. Syst. Xixian Chen, Haiqin Yang, Shenglin Zhao, Michael R. Lyu, Irwin King
2020	J	`jnl`	Effective Data-aware Covariance Estimator from Compressed Data. CoRR Xixian Chen, Haiqin Yang, Shenglin Zhao, Michael R. Lyu, Irwin King
2020	—	`conf`	FPAI at SemEval-2020 Task 10: A Query Enhanced Model with RoBERTa for Emphasis Selection. SemEval@COLING Chenyang Guo, Xiaolong Hou, Junsong Ren, Lian-Xin Jiang, Yang Mo, Haiqin Yang, Jian-Ping Shen
2020	J	`jnl`	Hierarchical Context Enhanced Multi-Domain Dialogue System for Multi-domain Task Completion. CoRR Jingyuan Yang, Guang Liu, Yuzhao Mao, Zhiwei Zhao, Weiguo Gao, Xuan Li, Haiqin Yang, Jianping Shen
2020	J	`jnl`	Making Online Sketching Hashing Even Faster. CoRR Xixian Chen, Haiqin Yang, Shenglin Zhao, Michael R. Lyu, Irwin King
2020	—	`ed.`	Neural Information Processing - 27th International Conference, ICONIP 2020, Bangkok, Thailand, November 18-22, 2020, Proceedings, Part IV ICONIP (4) Haiqin Yang, Kitsuchart Pasupa, Andrew Chi-Sing Leung, James T. Kwok, Jonathan H. Chan, Irwin King
2020	—	`ed.`	Neural Information Processing - 27th International Conference, ICONIP 2020, Bangkok, Thailand, November 18-22, 2020, Proceedings, Part V ICONIP (5) Haiqin Yang, Kitsuchart Pasupa, Andrew Chi-Sing Leung, James T. Kwok, Jonathan H. Chan, Irwin King
2020	—	`ed.`	Neural Information Processing - 27th International Conference, ICONIP 2020, Bangkok, Thailand, November 23-27, 2020, Proceedings, Part I ICONIP (1) Haiqin Yang, Kitsuchart Pasupa, Andrew Chi-Sing Leung, James T. Kwok, Jonathan H. Chan, Irwin King
2020	—	`ed.`	Neural Information Processing - 27th International Conference, ICONIP 2020, Bangkok, Thailand, November 23-27, 2020, Proceedings, Part II ICONIP (2) Haiqin Yang, Kitsuchart Pasupa, Andrew Chi-Sing Leung, James T. Kwok, Jonathan H. Chan, Irwin King
2020	—	`ed.`	Neural Information Processing - 27th International Conference, ICONIP 2020, Bangkok, Thailand, November 23-27, 2020, Proceedings, Part III ICONIP (3) Haiqin Yang, Kitsuchart Pasupa, Andrew Chi-Sing Leung, James T. Kwok, Jonathan H. Chan, Irwin King
2020	—	`conf`	UNIXLONG at SemEval-2020 Task 6: A Joint Model for Definition Extraction. SemEval@COLING Shu-Yi Xie, Jian Ma, Haiqin Yang, Lian-Xin Jiang, Yang Mo, Jian-Ping Shen
2019	J	`jnl`	BERT Meets Chinese Word Segmentation. CoRR Haiqin Yang
2019	—	`conf`	HiGRU: Hierarchical Gated Recurrent Units for Utterance-Level Emotion Recognition. NAACL-HLT (1) Wenxiang Jiao, Haiqin Yang, Irwin King, Michael R. Lyu
2019	J	`jnl`	HiGRU: Hierarchical Gated Recurrent Units for Utterance-level Emotion Recognition. CoRR Wenxiang Jiao, Haiqin Yang, Irwin King, Michael R. Lyu
2018	C	`conf`	A Broad Neural Network Structure for Class Incremental Learning. ISNN Wenzhang Liu, Haiqin Yang, Yuewen Sun, Changyin Sun
2018	J	`jnl`	Factorization machines and deep views-based co-training for improving answer quality prediction in online health expert question-answering services. J. Biomed. Informatics Zhan Zhang, Ze Hu, Haiqin Yang, Rong Zhu, Decheng Zuo
2018	J	`jnl`	Implicit Heterogeneous Features Embedding in Deep Knowledge Tracing. Cogn. Comput. Haiqin Yang, Lap Pong Cheung
2018	—	`conf`	Neural Machine Translation for Financial Listing Documents. ICONIP (5) Linkai Luo, Haiqin Yang, Sai Cheong Siu, Francis Yuk-Lun Chin
2018	J	`jnl`	Online Nonlinear AUC Maximization for Imbalanced Data Sets. IEEE Trans. Neural Networks Learn. Syst. Junjie Hu, Haiqin Yang, Michael R. Lyu, Irwin King, Anthony Man-Cho So
2018	J	`jnl`	Predicting the quality of online health expert question-answering services with temporal features in a deep learning framework. Neurocomputing Ze Hu, Zhan Zhang, Haiqin Yang, Qing Chen, Rong Zhu, Decheng Zuo
2018	A*	`conf`	TreeNet: Learning Sentence Representations with Unconstrained Tree Structure. IJCAI Zhou Cheng, Chun Yuan, Jiancheng Li, Haiqin Yang
2017	J	`jnl`	A deep learning approach for predicting the quality of online health expert question-answering services. J. Biomed. Informatics Ze Hu, Zhan Zhang, Haiqin Yang, Qing Chen, Decheng Zuo
2017	J	`jnl`	BT-Nets: Simplifying Deep Neural Networks via Block Term Decomposition. CoRR Guangxi Li, Jinmian Ye, Haiqin Yang, Di Chen, Shuicheng Yan, Zenglin Xu
2017	A*	`conf`	Efficient Non-Oblivious Randomized Reduction for Risk Minimization with Improved Excess Risk Guarantee. AAAI Yi Xu, Haiqin Yang, Lijun Zhang, Tianbao Yang
2017	—	`conf`	Heterogeneous Features Integration in Deep Knowledge Tracing. ICONIP (2) Lap Pong Cheung, Haiqin Yang
2016	J	`jnl`	A Unified Point-of-Interest Recommendation Framework in Location-Based Social Networks. ACM Trans. Intell. Syst. Technol. Chen Cheng, Haiqin Yang, Irwin King, Michael R. Lyu
2016	J	`jnl`	A deep learning approach for predicting the quality of online health expert question-answering services. CoRR Ze Hu, Zhan Zhang, Qing Chen, Haiqin Yang, De-Cheng Zuo
2016	B	`conf`	Distributed Information-Theoretic Metric Learning in Apache Spark. IJCNN Yuxin Su, Haiqin Yang, Irwin King, Michael R. Lyu
2016	J	`jnl`	Efficient Non-oblivious Randomized Reduction for Risk Minimization with Improved Excess Risk Guarantee. CoRR Yi Xu, Haiqin Yang, Lijun Zhang, Tianbao Yang
2016	B	`conf`	Online non-negative dictionary learning via moment information for sparse Poisson coding. IJCNN Xiaotian Yu, Haiqin Yang, Irwin King, Michael R. Lyu
2016	A*	`conf`	STELLAR: Spatial-Temporal Latent Ranking for Successive Point-of-Interest Recommendation. AAAI Shenglin Zhao, Tong Zhao, Haiqin Yang, Michael R. Lyu, Irwin King
2015	J	`jnl`	Boosting Response Aware Model-Based Collaborative Filtering. IEEE Trans. Knowl. Data Eng. Haiqin Yang, Guang Ling, Yuxin Su, Michael R. Lyu, Irwin King
2015	J	`jnl`	Budget constrained non-monotonic feature selection. Neural Networks Haiqin Yang, Zenglin Xu, Michael R. Lyu, Irwin King
2015	A*	`conf`	Kernelized Online Imbalanced Learning with Fixed Budgets. AAAI Junjie Hu, Haiqin Yang, Irwin King, Michael R. Lyu, Anthony Man-Cho So
2015	J	`jnl`	Maximum margin semi-supervised learning with irrelevant data. Neural Networks Haiqin Yang, Kaizhu Huang, Irwin King, Michael R. Lyu
2015	A*	`conf`	Training-Efficient Feature Map for Shift-Invariant Kernels. IJCAI Xixian Chen, Haiqin Yang, Irwin King, Michael R. Lyu
2015	A	`conf`	WSDM'15 Workshop Summary / Scalable Data Analytics: Theory and Applications. WSDM Kaizhu Huang, Haiqin Yang, Irwin King, Michael R. Lyu
2014	—	`conf`	Non-monotonic Feature Selection for Regression. ICONIP (2) Haiqin Yang, Zenglin Xu, Irwin King, Michael R. Lyu
2013	J	`jnl`	Efficient online learning for multitask feature selection. ACM Trans. Knowl. Discov. Data Haiqin Yang, Michael R. Lyu, Irwin King
2013	—	`conf`	Sparse Poisson coding for high dimensional document clustering. IEEE BigData Chenxia Wu, Haiqin Yang, Jianke Zhu, Jiemi Zhang, Irwin King, Michael R. Lyu
2013	A*	`conf`	Where You Like to Go Next: Successive Point-of-Interest Recommendation. IJCAI Chen Cheng, Haiqin Yang, Michael R. Lyu, Irwin King
2012	A*	`conf`	Fused Matrix Factorization with Geographical and Social Influence in Location-Based Social Networks. AAAI Chen Cheng, Haiqin Yang, Irwin King, Michael R. Lyu
2012	B	`conf`	Online learning for collaborative filtering. IJCNN Guang Ling, Haiqin Yang, Irwin King, Michael R. Lyu
2012	J	`jnl`	Response Aware Model-Based Collaborative Filtering CoRR Guang Ling, Haiqin Yang, Michael R. Lyu, Irwin King
2012	A	`conf`	Response Aware Model-Based Collaborative Filtering. UAI Guang Ling, Haiqin Yang, Michael R. Lyu, Irwin King
2011	A	`conf`	Can irrelevant data help semi-supervised learning, why and how? CIKM Haiqin Yang, Shenghuo Zhu, Irwin King, Michael R. Lyu
2011	J	`jnl`	Efficient Sparse Generalized Multiple Kernel Learning. IEEE Trans. Neural Networks Haiqin Yang, Zenglin Xu, Jieping Ye, Irwin King, Michael R. Lyu
2010	B	`conf`	Multi-task Learning for one-class classification. IJCNN Haiqin Yang, Irwin King, Michael R. Lyu
2010	A*	`conf`	Online Learning for Group Lasso. ICML Haiqin Yang, Zenglin Xu, Irwin King, Michael R. Lyu
2010	A	`conf`	Online learning for multi-task feature selection. CIKM Haiqin Yang, Irwin King, Michael R. Lyu
2010	A*	`conf`	Simple and Efficient Multiple Kernel Learning by Group Lasso. ICML Zenglin Xu, Rong Jin, Haiqin Yang, Irwin King, Michael R. Lyu
2009	—	`conf`	Ensemble Learning for Imbalanced E-commerce Transaction Anomaly Classification. ICONIP (1) Haiqin Yang, Irwin King
2009	J	`jnl`	Localized support vector regression for time series prediction. Neurocomputing Haiqin Yang, Kaizhu Huang, Irwin King, Michael R. Lyu
2008	B	`conf`	Efficient Minimax Clustering Probability Machine by Generalized Probability Product Kernel. IJCNN Haiqin Yang, Kaizhu Huang, Irwin King, Michael R. Lyu
2008	J	`jnl`	Maxi-Min Margin Machine: Learning Large Margin Classifiers Locally and Globally. IEEE Trans. Neural Networks Kaizhu Huang, Haiqin Yang, Irwin King, Michael R. Lyu
2008	—	`conf`	Sprinkled Latent Semantic Indexing for Text Classification with Background Knowledge. ICONIP (2) Haiqin Yang, Irwin King
2006	J	`jnl`	Imbalanced learning with a biased minimax probability machine. IEEE Trans. Syst. Man Cybern. Part B Kaizhu Huang, Haiqin Yang, Irwin King, Michael R. Lyu
2006	B	`conf`	Local Support Vector Regression for Financial Time Series Prediction. IJCNN Kaizhu Huang, Haiqin Yang, Irwin King, Michael R. Lyu
2006	J	`jnl`	Maximizing sensitivity in medical diagnosis using biased minimax probability Machine. IEEE Trans. Biomed. Eng. Kaizhu Huang, Haiqin Yang, Irwin King, Michael R. Lyu
2004	—	`conf`	Biased Minimax Probability Machine for Medical Diagnosis. AI&M Kaizhu Huang, Haiqin Yang, Irwin King, Michael R. Lyu, Laiwan Chan
2004	—	`conf`	Learning Classifiers from Imbalanced Data Based on Biased Minimax Probability Machine. CVPR (2) Kaizhu Huang, Haiqin Yang, Irwin King, Michael R. Lyu
2004	A*	`conf`	Learning large margin classifiers locally and globally. ICML Kaizhu Huang, Haiqin Yang, Irwin King, Michael R. Lyu
2004	B	`conf`	Outliers Treatment in Support Vector Regression for Financial Time Series Prediction. ICONIP Haiqin Yang, Kaizhu Huang, Laiwan Chan, Irwin King, Michael R. Lyu
2004	J	`jnl`	The Minimum Error Minimax Probability Machine. J. Mach. Learn. Res. Kaizhu Huang, Haiqin Yang, Irwin King, Michael R. Lyu, Laiwan Chan
2002	C	`conf`	Support Vector Machine Regression for Volatile Stock Market Prediction. IDEAL Haiqin Yang, Laiwan Chan, Irwin King