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Haiqin Yang
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2020 – today
- 2024
- [j21]Weixu Zhang, Yifei Wang, Yuanfeng Song, Victor Junqiu Wei, Yuxing Tian, Yiyan Qi, Jonathan H. Chan, Raymond Chi-Wing Wong, Haiqin Yang:
Natural Language Interfaces for Tabular Data Querying and Visualization: A Survey. IEEE Trans. Knowl. Data Eng. 36(11): 6699-6718 (2024) - [j20]Zhengzhuo Xu, Zenghao Chai, Chengyin Xu, Chun Yuan, Haiqin Yang:
Towards Effective Collaborative Learning in Long-Tailed Recognition. IEEE Trans. Multim. 26: 3754-3764 (2024) - [c50]Ting Xu, Haiqin Yang, Fei Zhao, Zhen Wu, Xinyu Dai:
A Two-Agent Game for Zero-shot Relation Triplet Extraction. ACL (Findings) 2024: 7510-7527 - [c49]Yihuai Hong, Yuelin Zou, Lijie Hu, Ziqian Zeng, Di Wang, Haiqin Yang:
Dissecting Fine-Tuning Unlearning in Large Language Models. EMNLP 2024: 3933-3941 - [c48]Hongzhan Lin, Haiqin Yang, Ziyang Luo, Jing Ma:
Unleashing Trigger-Free Event Detection: Revealing Event Correlations Via a Contrastive Derangement Framework. ICASSP 2024: 10171-10175 - [i30]Yihuai Hong, Lei Yu, Shauli Ravfogel, Haiqin Yang, Mor Geva:
Intrinsic Evaluation of Unlearning Using Parametric Knowledge Traces. CoRR abs/2406.11614 (2024) - [i29]Yuncong Li, Tianhua Xu, Sheng-hua Zhong, Haiqin Yang:
EasyECR: A Library for Easy Implementation and Evaluation of Event Coreference Resolution Models. CoRR abs/2406.14106 (2024) - [i28]Yihuai Hong, Yuelin Zou, Lijie Hu, Ziqian Zeng, Di Wang, Haiqin Yang:
Dissecting Fine-Tuning Unlearning in Large Language Models. CoRR abs/2410.06606 (2024) - 2023
- [c47]Junxian Zhou, Haiqin Yang, Yuxuan He, Hao Mou, Junbo Yang:
A Unified One-Step Solution for Aspect Sentiment Quad Prediction. ACL (Findings) 2023: 12249-12265 - [c46]Fangqi Zhu, Lin Zhang, Jun Gao, Bing Qin, Ruifeng Xu, Haiqin Yang:
A Diffusion Model for Event Skeleton Generation. ACL (Findings) 2023: 12630-12641 - [c45]Xuanzhou Liu, Lin Zhang, Jiaqi Sun, Yujiu Yang, Haiqin Yang:
D2Match: Leveraging Deep Learning and Degeneracy for Subgraph Matching. ICML 2023: 22454-22472 - [c44]Peng Xu, Lin Zhang, Xuanzhou Liu, Jiaqi Sun, Yue Zhao, Haiqin Yang, Bei Yu:
Do Not Train It: A Linear Neural Architecture Search of Graph Neural Networks. ICML 2023: 38826-38847 - [i27]Zhengzhuo Xu, Zenghao Chai, Chengyin Xu, Chun Yuan, Haiqin Yang:
Towards Effective Collaborative Learning in Long-Tailed Recognition. CoRR abs/2305.03378 (2023) - [i26]Fangqi Zhu, Lin Zhang, Jun Gao, Bing Qin, Ruifeng Xu, Haiqin Yang:
A Diffusion Model for Event Skeleton Generation. CoRR abs/2305.17458 (2023) - [i25]Junxian Zhou, Haiqin Yang, Yuxuan He, Hao Mou, Junbo Yang:
A Unified One-Step Solution for Aspect Sentiment Quad Prediction. CoRR abs/2306.04152 (2023) - [i24]Xuanzhou Liu, Lin Zhang, Jiaqi Sun, Yujiu Yang, Haiqin Yang:
D2Match: Leveraging Deep Learning and Degeneracy for Subgraph Matching. CoRR abs/2306.06380 (2023) - [i23]Weixu Zhang, Yifei Wang, Yuanfeng Song, Victor Junqiu Wei, Yuxing Tian, Yiyan Qi, Jonathan H. Chan, Raymond Chi-Wing Wong, Haiqin Yang:
Natural Language Interfaces for Tabular Data Querying and Visualization: A Survey. CoRR abs/2310.17894 (2023) - [i22]Junxian Zhou, Haiqin Yang, Junpeng Ye, Yuxuan He, Hao Mou:
An Empirical Study of Benchmarking Chinese Aspect Sentiment Quad Prediction. CoRR abs/2311.01713 (2023) - 2022
- [c43]Siqu Long, Feiqi Cao, Soyeon Caren Han, Haiqin Yang:
Vision-and-Language Pretrained Models: A Survey. IJCAI 2022: 5530-5537 - [i21]Siqu Long, Feiqi Cao, Soyeon Caren Han, Haiqin Yang:
Vision-and-Language Pretrained Models: A Survey. CoRR abs/2204.07356 (2022) - [i20]Jiachen Zhao, Haiqin Yang:
Trigger-free Event Detection via Derangement Reading Comprehension. CoRR abs/2208.09659 (2022) - 2021
- [j19]Xixian Chen, Haiqin Yang, Shenglin Zhao, Irwin King, Michael R. Lyu:
Making Online Sketching Hashing Even Faster. IEEE Trans. Knowl. Data Eng. 33(3): 1089-1101 (2021) - [c42]Yiying Yang, Xi Yin, Haiqin Yang, Xingjian Fei, Hao Peng, Kaijie Zhou, Kunfeng Lai, Jianping Shen:
KGSynNet: A Novel Entity Synonyms Discovery Framework with Knowledge Graph. DASFAA (1) 2021: 174-190 - [c41]Haiqin Yang, Xiaoyuan Yao, Yiqun Duan, Jianping Shen, Jie Zhong, Kun Zhang:
Progressive Open-Domain Response Generation with Multiple Controllable Attributes. IJCAI 2021: 3279-3285 - [c40]Xinyi Wang, Haiqin Yang, Liang Zhao, Yang Mo, Jianping Shen:
RefBERT: Compressing BERT by Referencing to Pre-computed Representations. IJCNN 2021: 1-8 - [c39]Haiqin Yang, Jianping Shen:
Emotion Dynamics Modeling via BERT. IJCNN 2021: 1-8 - [c38]Shu-Yi Xie, Jian Ma, Haiqin Yang, Lian-Xin Jiang, Yang Mo, Jianping Shen:
PALI at SemEval-2021 Task 2: Fine-Tune XLM-RoBERTa for Word in Context Disambiguation. SemEval@ACL/IJCNLP 2021: 713-718 - [c37]Jian Ma, Shu-Yi Xie, Haiqin Yang, Lian-Xin Jiang, Mengyuan Zhou, Xiaoyi Ruan, Yang Mo:
MagicPai at SemEval-2021 Task 7: Method for Detecting and Rating Humor Based on Multi-Task Adversarial Training. SemEval@ACL/IJCNLP 2021: 1153-1159 - [c36]Xiaoyi Ruan, Meizhi Jin, Jian Ma, Haiqin Yang, Lian-Xin Jiang, Yang Mo, Mengyuan Zhou:
Sattiy at SemEval-2021 Task 9: An Ensemble Solution for Statement Verification and Evidence Finding with Tables. SemEval@ACL/IJCNLP 2021: 1255-1261 - [c35]Zengfeng Zeng, Dan Ma, Haiqin Yang, Zhen Gou, Jianping Shen:
Automatic Intent-Slot Induction for Dialogue Systems. WWW 2021: 2578-2589 - [i19]Zengfeng Zeng, Dan Ma, Haiqin Yang, Zhen Gou, Jianping Shen:
Automatic Intent-Slot Induction for Dialogue Systems. CoRR abs/2103.08886 (2021) - [i18]Yiying Yang, Xi Yin, Haiqin Yang, Xingjian Fei, Hao Peng, Kaijie Zhou, Kunfeng Lai, Jianping Shen:
KGSynNet: A Novel Entity Synonyms Discovery Framework with Knowledge Graph. CoRR abs/2103.08893 (2021) - [i17]Haiqin Yang, Jianping Shen:
Emotion Dynamics Modeling via BERT. CoRR abs/2104.07252 (2021) - [i16]Jian Ma, Shu-Yi Xie, Haiqin Yang, Lian-Xin Jiang, Mengyuan Zhou, Xiaoyi Ruan, Yang Mo:
MagicPai at SemEval-2021 Task 7: Method for Detecting and Rating Humor Based on Multi-Task Adversarial Training. CoRR abs/2104.10336 (2021) - [i15]Xiaoyi Ruan, Meizhi Jin, Jian Ma, Haiqin Yang, Lian-Xin Jiang, Yang Mo, Mengyuan Zhou:
Sattiy at SemEval-2021 Task 9: An Ensemble Solution for Statement Verification and Evidence Finding with Tables. CoRR abs/2104.10366 (2021) - [i14]Shu-Yi Xie, Jian Ma, Haiqin Yang, Lian-Xin Jiang, Yang Mo, Jianping Shen:
PALI at SemEval-2021 Task 2: Fine-Tune XLM-RoBERTa for Word in Context Disambiguation. CoRR abs/2104.10375 (2021) - [i13]Xinyi Wang, Haiqin Yang, Liang Zhao, Yang Mo, Jianping Shen:
RefBERT: Compressing BERT by Referencing to Pre-computed Representations. CoRR abs/2106.08898 (2021) - [i12]Haiqin Yang, Xiaoyuan Yao, Yiqun Duan, Jianping Shen, Jie Zhong, Kun Zhang:
Progressive Open-Domain Response Generation with Multiple Controllable Attributes. CoRR abs/2106.14614 (2021) - [i11]Mengyuan Zhou, Jian Ma, Haiqin Yang, Lian-Xin Jiang, Yang Mo:
Sequential Attention Module for Natural Language Processing. CoRR abs/2109.03009 (2021) - 2020
- [j18]Jinmian Ye, Guangxi Li, Di Chen, Haiqin Yang, Shandian Zhe, Zenglin Xu:
Block-term tensor neural networks. Neural Networks 130: 11-21 (2020) - [j17]Xixian Chen, Haiqin Yang, Shenglin Zhao, Michael R. Lyu, Irwin King:
Effective Data-Aware Covariance Estimator From Compressed Data. IEEE Trans. Neural Networks Learn. Syst. 31(7): 2441-2454 (2020) - [c34]Shu-Yi Xie, Jian Ma, Haiqin Yang, Lian-Xin Jiang, Yang Mo, Jian-Ping Shen:
UNIXLONG at SemEval-2020 Task 6: A Joint Model for Definition Extraction. SemEval@COLING 2020: 730-736 - [c33]Chenyang Guo, Xiaolong Hou, Junsong Ren, Lian-Xin Jiang, Yang Mo, Haiqin Yang, Jian-Ping Shen:
FPAI at SemEval-2020 Task 10: A Query Enhanced Model with RoBERTa for Emphasis Selection. SemEval@COLING 2020: 1652-1657 - [e5]Haiqin Yang, Kitsuchart Pasupa, Andrew Chi-Sing Leung, James T. Kwok, Jonathan H. Chan, Irwin King:
Neural Information Processing - 27th International Conference, ICONIP 2020, Bangkok, Thailand, November 18-22, 2020, Proceedings, Part IV. Communications in Computer and Information Science 1332, Springer 2020, ISBN 978-3-030-63819-1 [contents] - [e4]Haiqin Yang, Kitsuchart Pasupa, Andrew Chi-Sing Leung, James T. Kwok, Jonathan H. Chan, Irwin King:
Neural Information Processing - 27th International Conference, ICONIP 2020, Bangkok, Thailand, November 18-22, 2020, Proceedings, Part V. Communications in Computer and Information Science 1333, Springer 2020, ISBN 978-3-030-63822-1 [contents] - [e3]Haiqin Yang, Kitsuchart Pasupa, Andrew Chi-Sing Leung, James T. Kwok, Jonathan H. Chan, Irwin King:
Neural Information Processing - 27th International Conference, ICONIP 2020, Bangkok, Thailand, November 23-27, 2020, Proceedings, Part I. Lecture Notes in Computer Science 12532, Springer 2020, ISBN 978-3-030-63829-0 [contents] - [e2]Haiqin Yang, Kitsuchart Pasupa, Andrew Chi-Sing Leung, James T. Kwok, Jonathan H. Chan, Irwin King:
Neural Information Processing - 27th International Conference, ICONIP 2020, Bangkok, Thailand, November 23-27, 2020, Proceedings, Part II. Lecture Notes in Computer Science 12533, Springer 2020, ISBN 978-3-030-63832-0 [contents] - [e1]Haiqin Yang, Kitsuchart Pasupa, Andrew Chi-Sing Leung, James T. Kwok, Jonathan H. Chan, Irwin King:
Neural Information Processing - 27th International Conference, ICONIP 2020, Bangkok, Thailand, November 23-27, 2020, Proceedings, Part III. Lecture Notes in Computer Science 12534, Springer 2020, ISBN 978-3-030-63835-1 [contents] - [i10]Jingyuan Yang, Guang Liu, Yuzhao Mao, Zhiwei Zhao, Weiguo Gao, Xuan Li, Haiqin Yang, Jianping Shen:
Hierarchical Context Enhanced Multi-Domain Dialogue System for Multi-domain Task Completion. CoRR abs/2003.01338 (2020) - [i9]Xixian Chen, Haiqin Yang, Shenglin Zhao, Michael R. Lyu, Irwin King:
Making Online Sketching Hashing Even Faster. CoRR abs/2010.04948 (2020) - [i8]Jinmian Ye, Guangxi Li, Di Chen, Haiqin Yang, Shandian Zhe, Zenglin Xu:
Block-term Tensor Neural Networks. CoRR abs/2010.04963 (2020) - [i7]Xixian Chen, Haiqin Yang, Shenglin Zhao, Michael R. Lyu, Irwin King:
Effective Data-aware Covariance Estimator from Compressed Data. CoRR abs/2010.04966 (2020)
2010 – 2019
- 2019
- [c32]Wenxiang Jiao, Haiqin Yang, Irwin King, Michael R. Lyu:
HiGRU: Hierarchical Gated Recurrent Units for Utterance-Level Emotion Recognition. NAACL-HLT (1) 2019: 397-406 - [i6]Wenxiang Jiao, Haiqin Yang, Irwin King, Michael R. Lyu:
HiGRU: Hierarchical Gated Recurrent Units for Utterance-level Emotion Recognition. CoRR abs/1904.04446 (2019) - [i5]Haiqin Yang:
BERT Meets Chinese Word Segmentation. CoRR abs/1909.09292 (2019) - 2018
- [j16]Haiqin Yang, Lap Pong Cheung:
Implicit Heterogeneous Features Embedding in Deep Knowledge Tracing. Cogn. Comput. 10(1): 3-14 (2018) - [j15]Ze Hu, Zhan Zhang, Haiqin Yang, Qing Chen, Rong Zhu, Decheng Zuo:
Predicting the quality of online health expert question-answering services with temporal features in a deep learning framework. Neurocomputing 275: 2769-2782 (2018) - [j14]Zhan Zhang, Ze Hu, Haiqin Yang, Rong Zhu, Decheng Zuo:
Factorization machines and deep views-based co-training for improving answer quality prediction in online health expert question-answering services. J. Biomed. Informatics 87: 21-36 (2018) - [j13]Junjie Hu, Haiqin Yang, Michael R. Lyu, Irwin King, Anthony Man-Cho So:
Online Nonlinear AUC Maximization for Imbalanced Data Sets. IEEE Trans. Neural Networks Learn. Syst. 29(4): 882-895 (2018) - [c31]Linkai Luo, Haiqin Yang, Sai Cheong Siu, Francis Yuk-Lun Chin:
Neural Machine Translation for Financial Listing Documents. ICONIP (5) 2018: 232-243 - [c30]Zhou Cheng, Chun Yuan, Jiancheng Li, Haiqin Yang:
TreeNet: Learning Sentence Representations with Unconstrained Tree Structure. IJCAI 2018: 4005-4011 - [c29]Wenzhang Liu, Haiqin Yang, Yuewen Sun, Changyin Sun:
A Broad Neural Network Structure for Class Incremental Learning. ISNN 2018: 229-238 - 2017
- [j12]Ze Hu, Zhan Zhang, Haiqin Yang, Qing Chen, Decheng Zuo:
A deep learning approach for predicting the quality of online health expert question-answering services. J. Biomed. Informatics 71: 241-253 (2017) - [c28]Yi Xu, Haiqin Yang, Lijun Zhang, Tianbao Yang:
Efficient Non-Oblivious Randomized Reduction for Risk Minimization with Improved Excess Risk Guarantee. AAAI 2017: 2796-2802 - [c27]Lap Pong Cheung, Haiqin Yang:
Heterogeneous Features Integration in Deep Knowledge Tracing. ICONIP (2) 2017: 653-662 - [i4]Guangxi Li, Jinmian Ye, Haiqin Yang, Di Chen, Shuicheng Yan, Zenglin Xu:
BT-Nets: Simplifying Deep Neural Networks via Block Term Decomposition. CoRR abs/1712.05689 (2017) - 2016
- [j11]Chen Cheng, Haiqin Yang, Irwin King, Michael R. Lyu:
A Unified Point-of-Interest Recommendation Framework in Location-Based Social Networks. ACM Trans. Intell. Syst. Technol. 8(1): 10:1-10:21 (2016) - [c26]Shenglin Zhao, Tong Zhao, Haiqin Yang, Michael R. Lyu, Irwin King:
STELLAR: Spatial-Temporal Latent Ranking for Successive Point-of-Interest Recommendation. AAAI 2016: 315-322 - [c25]Yuxin Su, Haiqin Yang, Irwin King, Michael R. Lyu:
Distributed Information-Theoretic Metric Learning in Apache Spark. IJCNN 2016: 3306-3313 - [c24]Xiaotian Yu, Haiqin Yang, Irwin King, Michael R. Lyu:
Online non-negative dictionary learning via moment information for sparse Poisson coding. IJCNN 2016: 5094-5101 - [i3]Yi Xu, Haiqin Yang, Lijun Zhang, Tianbao Yang:
Efficient Non-oblivious Randomized Reduction for Risk Minimization with Improved Excess Risk Guarantee. CoRR abs/1612.01663 (2016) - [i2]Ze Hu, Zhan Zhang, Qing Chen, Haiqin Yang, De-Cheng Zuo:
A deep learning approach for predicting the quality of online health expert question-answering services. CoRR abs/1612.07040 (2016) - 2015
- [j10]Haiqin Yang, Kaizhu Huang, Irwin King, Michael R. Lyu:
Maximum margin semi-supervised learning with irrelevant data. Neural Networks 70: 90-102 (2015) - [j9]Haiqin Yang, Zenglin Xu, Michael R. Lyu, Irwin King:
Budget constrained non-monotonic feature selection. Neural Networks 71: 214-224 (2015) - [j8]Haiqin Yang, Guang Ling, Yuxin Su, Michael R. Lyu, Irwin King:
Boosting Response Aware Model-Based Collaborative Filtering. IEEE Trans. Knowl. Data Eng. 27(8): 2064-2077 (2015) - [c23]Junjie Hu, Haiqin Yang, Irwin King, Michael R. Lyu, Anthony Man-Cho So:
Kernelized Online Imbalanced Learning with Fixed Budgets. AAAI 2015: 2666-2672 - [c22]Xixian Chen, Haiqin Yang, Irwin King, Michael R. Lyu:
Training-Efficient Feature Map for Shift-Invariant Kernels. IJCAI 2015: 3395-3401 - [c21]Kaizhu Huang, Haiqin Yang, Irwin King, Michael R. Lyu:
WSDM'15 Workshop Summary / Scalable Data Analytics: Theory and Applications. WSDM 2015: 425-426 - 2014
- [c20]Haiqin Yang, Zenglin Xu, Irwin King, Michael R. Lyu:
Non-monotonic Feature Selection for Regression. ICONIP (2) 2014: 44-51 - 2013
- [j7]Haiqin Yang, Michael R. Lyu, Irwin King:
Efficient online learning for multitask feature selection. ACM Trans. Knowl. Discov. Data 7(2): 6:1-6:27 (2013) - [c19]Chenxia Wu, Haiqin Yang, Jianke Zhu, Jiemi Zhang, Irwin King, Michael R. Lyu:
Sparse Poisson coding for high dimensional document clustering. IEEE BigData 2013: 512-517 - [c18]Chen Cheng, Haiqin Yang, Michael R. Lyu, Irwin King:
Where You Like to Go Next: Successive Point-of-Interest Recommendation. IJCAI 2013: 2605-2611 - 2012
- [c17]Chen Cheng, Haiqin Yang, Irwin King, Michael R. Lyu:
Fused Matrix Factorization with Geographical and Social Influence in Location-Based Social Networks. AAAI 2012: 17-23 - [c16]Guang Ling, Haiqin Yang, Irwin King, Michael R. Lyu:
Online learning for collaborative filtering. IJCNN 2012: 1-8 - [c15]Guang Ling, Haiqin Yang, Michael R. Lyu, Irwin King:
Response Aware Model-Based Collaborative Filtering. UAI 2012: 501-510 - [i1]Guang Ling, Haiqin Yang, Michael R. Lyu, Irwin King:
Response Aware Model-Based Collaborative Filtering. CoRR abs/1210.4869 (2012) - 2011
- [j6]Haiqin Yang, Zenglin Xu, Jieping Ye, Irwin King, Michael R. Lyu:
Efficient Sparse Generalized Multiple Kernel Learning. IEEE Trans. Neural Networks 22(3): 433-446 (2011) - [c14]Haiqin Yang, Shenghuo Zhu, Irwin King, Michael R. Lyu:
Can irrelevant data help semi-supervised learning, why and how? CIKM 2011: 937-946 - 2010
- [c13]Haiqin Yang, Irwin King, Michael R. Lyu:
Online learning for multi-task feature selection. CIKM 2010: 1693-1696 - [c12]Zenglin Xu, Rong Jin, Haiqin Yang, Irwin King, Michael R. Lyu:
Simple and Efficient Multiple Kernel Learning by Group Lasso. ICML 2010: 1175-1182 - [c11]Haiqin Yang, Zenglin Xu, Irwin King, Michael R. Lyu:
Online Learning for Group Lasso. ICML 2010: 1191-1198 - [c10]Haiqin Yang, Irwin King, Michael R. Lyu:
Multi-task Learning for one-class classification. IJCNN 2010: 1-8
2000 – 2009
- 2009
- [j5]Haiqin Yang, Kaizhu Huang, Irwin King, Michael R. Lyu:
Localized support vector regression for time series prediction. Neurocomputing 72(10-12): 2659-2669 (2009) - [c9]Haiqin Yang, Irwin King:
Ensemble Learning for Imbalanced E-commerce Transaction Anomaly Classification. ICONIP (1) 2009: 866-874 - 2008
- [j4]Kaizhu Huang, Haiqin Yang, Irwin King, Michael R. Lyu:
Maxi-Min Margin Machine: Learning Large Margin Classifiers Locally and Globally. IEEE Trans. Neural Networks 19(2): 260-272 (2008) - [c8]Haiqin Yang, Irwin King:
Sprinkled Latent Semantic Indexing for Text Classification with Background Knowledge. ICONIP (2) 2008: 53-60 - [c7]Haiqin Yang, Kaizhu Huang, Irwin King, Michael R. Lyu:
Efficient Minimax Clustering Probability Machine by Generalized Probability Product Kernel. IJCNN 2008: 4014-4019 - 2006
- [j3]Kaizhu Huang, Haiqin Yang, Irwin King, Michael R. Lyu:
Maximizing sensitivity in medical diagnosis using biased minimax probability Machine. IEEE Trans. Biomed. Eng. 53(5): 821-831 (2006) - [j2]Kaizhu Huang, Haiqin Yang, Irwin King, Michael R. Lyu:
Imbalanced learning with a biased minimax probability machine. IEEE Trans. Syst. Man Cybern. Part B 36(4): 913-923 (2006) - [c6]Kaizhu Huang, Haiqin Yang, Irwin King, Michael R. Lyu:
Local Support Vector Regression for Financial Time Series Prediction. IJCNN 2006: 1622-1627 - 2004
- [j1]Kaizhu Huang, Haiqin Yang, Irwin King, Michael R. Lyu, Laiwan Chan:
The Minimum Error Minimax Probability Machine. J. Mach. Learn. Res. 5: 1253-1286 (2004) - [c5]Kaizhu Huang, Haiqin Yang, Irwin King, Michael R. Lyu:
Learning Classifiers from Imbalanced Data Based on Biased Minimax Probability Machine. CVPR (2) 2004: 558-563 - [c4]Kaizhu Huang, Haiqin Yang, Irwin King, Michael R. Lyu:
Learning large margin classifiers locally and globally. ICML 2004 - [c3]Haiqin Yang, Kaizhu Huang, Laiwan Chan, Irwin King, Michael R. Lyu:
Outliers Treatment in Support Vector Regression for Financial Time Series Prediction. ICONIP 2004: 1260-1265 - [c2]Kaizhu Huang, Haiqin Yang, Irwin King, Michael R. Lyu, Laiwan Chan:
Biased Minimax Probability Machine for Medical Diagnosis. AI&M 2004 - 2002
- [c1]Haiqin Yang, Laiwan Chan, Irwin King:
Support Vector Machine Regression for Volatile Stock Market Prediction. IDEAL 2002: 391-396
Coauthor Index
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