Haiqin Yang

Publication Activity (10 Years)

Years Active: 2002-2024
Publications (10 Years): 70

Top Topics

Dialogue System

Event Detection

Natural Language Interfaces

Top Venues

SemEval@ACL/IJCNLP

Publications

Yuncong Li, Tianhua Xu, Sheng-hua Zhong, Haiqin Yang
EasyECR: A Library for Easy Implementation and Evaluation of Event Coreference Resolution Models. CoRR (2024)
Yihuai Hong, Lei Yu, Shauli Ravfogel, Haiqin Yang, Mor Geva
Intrinsic Evaluation of Unlearning Using Parametric Knowledge Traces. CoRR (2024)
Hongzhan Lin, Haiqin Yang, Ziyang Luo, Jing Ma
Unleashing Trigger-Free Event Detection: Revealing Event Correlations Via a Contrastive Derangement Framework. ICASSP (2024)
Ting Xu, Haiqin Yang, Fei Zhao, Zhen Wu, Xinyu Dai
A Two-Agent Game for Zero-shot Relation Triplet Extraction. ACL (Findings) (2024)
Zhengzhuo Xu, Zenghao Chai, Chengyin Xu, Chun Yuan, Haiqin Yang
Towards Effective Collaborative Learning in Long-Tailed Recognition. IEEE Trans. Multim. 26 (2024)
Junxian Zhou, Haiqin Yang, Junpeng Ye, Yuxuan He, Hao Mou
An Empirical Study of Benchmarking Chinese Aspect Sentiment Quad Prediction. CoRR (2023)
Junxian Zhou, Haiqin Yang, Yuxuan He, Hao Mou, Junbo Yang
A Unified One-Step Solution for Aspect Sentiment Quad Prediction. ACL (Findings) (2023)
Zhengzhuo Xu, Zenghao Chai, Chengyin Xu, Chun Yuan, Haiqin Yang
Towards Effective Collaborative Learning in Long-Tailed Recognition. CoRR (2023)
Xuanzhou Liu, Lin Zhang, Jiaqi Sun, Yujiu Yang, Haiqin Yang
D2Match: Leveraging Deep Learning and Degeneracy for Subgraph Matching. CoRR (2023)
Junxian Zhou, Haiqin Yang, Yuxuan He, Hao Mou, Junbo Yang
A Unified One-Step Solution for Aspect Sentiment Quad Prediction. CoRR (2023)
Fangqi Zhu, Lin Zhang, Jun Gao, Bing Qin, Ruifeng Xu, Haiqin Yang
A Diffusion Model for Event Skeleton Generation. CoRR (2023)
Xuanzhou Liu, Lin Zhang, Jiaqi Sun, Yujiu Yang, Haiqin Yang
D2Match: Leveraging Deep Learning and Degeneracy for Subgraph Matching. ICML (2023)
Fangqi Zhu, Lin Zhang, Jun Gao, Bing Qin, Ruifeng Xu, Haiqin Yang
A Diffusion Model for Event Skeleton Generation. ACL (Findings) (2023)
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)
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 (2023)
Jiachen Zhao, Haiqin Yang
Trigger-free Event Detection via Derangement Reading Comprehension. CoRR (2022)
Siqu Long, Feiqi Cao, Soyeon Caren Han, Haiqin Yang
Vision-and-Language Pretrained Models: A Survey. CoRR (2022)
Siqu Long, Feiqi Cao, Soyeon Caren Han, Haiqin Yang
Vision-and-Language Pretrained Models: A Survey. IJCAI (2022)
Mengyuan Zhou, Jian Ma, Haiqin Yang, Lian-Xin Jiang, Yang Mo
Sequential Attention Module for Natural Language Processing. CoRR (2021)
Xixian Chen, Haiqin Yang, Shenglin Zhao, Irwin King, Michael R. Lyu
Making Online Sketching Hashing Even Faster. IEEE Trans. Knowl. Data Eng. 33 (3) (2021)
Zengfeng Zeng, Dan Ma, Haiqin Yang, Zhen Gou, Jianping Shen
Automatic Intent-Slot Induction for Dialogue Systems. CoRR (2021)
Xinyi Wang, Haiqin Yang, Liang Zhao, Yang Mo, Jianping Shen
RefBERT: Compressing BERT by Referencing to Pre-computed Representations. IJCNN (2021)
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)
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 (2021)
Haiqin Yang, Jianping Shen
Emotion Dynamics Modeling via BERT. IJCNN (2021)
Haiqin Yang, Xiaoyuan Yao, Yiqun Duan, Jianping Shen, Jie Zhong, Kun Zhang
Progressive Open-Domain Response Generation with Multiple Controllable Attributes. CoRR (2021)
Haiqin Yang, Jianping Shen
Emotion Dynamics Modeling via BERT. CoRR (2021)
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)
Xinyi Wang, Haiqin Yang, Liang Zhao, Yang Mo, Jianping Shen
RefBERT: Compressing BERT by Referencing to Pre-computed Representations. CoRR (2021)
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)
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)
Haiqin Yang, Xiaoyuan Yao, Yiqun Duan, Jianping Shen, Jie Zhong, Kun Zhang
Progressive Open-Domain Response Generation with Multiple Controllable Attributes. IJCAI (2021)
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 (2021)
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 (2021)
Zengfeng Zeng, Dan Ma, Haiqin Yang, Zhen Gou, Jianping Shen
Automatic Intent-Slot Induction for Dialogue Systems. WWW (2021)
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 (2021)
Jinmian Ye, Guangxi Li, Di Chen, Haiqin Yang, Shandian Zhe, Zenglin Xu
Block-term Tensor Neural Networks. CoRR (2020)
Xixian Chen, Haiqin Yang, Shenglin Zhao, Michael R. Lyu, Irwin King
Making Online Sketching Hashing Even Faster. CoRR (2020)
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)
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) (2020)
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 (2020)
Jinmian Ye, Guangxi Li, Di Chen, Haiqin Yang, Shandian Zhe, Zenglin Xu
Block-term tensor neural networks. Neural Networks 130 (2020)
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)
Xixian Chen, Haiqin Yang, Shenglin Zhao, Michael R. Lyu, Irwin King
Effective Data-aware Covariance Estimator from Compressed Data. CoRR (2020)
Wenxiang Jiao, Haiqin Yang, Irwin King, Michael R. Lyu
HiGRU: Hierarchical Gated Recurrent Units for Utterance-level Emotion Recognition. CoRR (2019)
Haiqin Yang
BERT Meets Chinese Word Segmentation. CoRR (2019)
Wenxiang Jiao, Haiqin Yang, Irwin King, Michael R. Lyu
HiGRU: Hierarchical Gated Recurrent Units for Utterance-Level Emotion Recognition. NAACL-HLT (1) (2019)
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 (2018)
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 (2018)
Linkai Luo, Haiqin Yang, Sai Cheong Siu, Francis Yuk-Lun Chin
Neural Machine Translation for Financial Listing Documents. ICONIP (5) (2018)
Wenzhang Liu, Haiqin Yang, Yuewen Sun, Changyin Sun
A Broad Neural Network Structure for Class Incremental Learning. ISNN (2018)
Zhou Cheng, Chun Yuan, Jiancheng Li, Haiqin Yang
TreeNet: Learning Sentence Representations with Unconstrained Tree Structure. IJCAI (2018)
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) (2018)
Haiqin Yang, Lap Pong Cheung
Implicit Heterogeneous Features Embedding in Deep Knowledge Tracing. Cogn. Comput. 10 (1) (2018)
Yi Xu, Haiqin Yang, Lijun Zhang, Tianbao Yang
Efficient Non-Oblivious Randomized Reduction for Risk Minimization with Improved Excess Risk Guarantee. AAAI (2017)
Guangxi Li, Jinmian Ye, Haiqin Yang, Di Chen, Shuicheng Yan, Zenglin Xu
BT-Nets: Simplifying Deep Neural Networks via Block Term Decomposition. CoRR (2017)
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 (2017)
Lap Pong Cheung, Haiqin Yang
Heterogeneous Features Integration in Deep Knowledge Tracing. ICONIP (2) (2017)
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) (2016)
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 (2016)
Yi Xu, Haiqin Yang, Lijun Zhang, Tianbao Yang
Efficient Non-oblivious Randomized Reduction for Risk Minimization with Improved Excess Risk Guarantee. CoRR (2016)
Xiaotian Yu, Haiqin Yang, Irwin King, Michael R. Lyu
Online non-negative dictionary learning via moment information for sparse Poisson coding. IJCNN (2016)
Yuxin Su, Haiqin Yang, Irwin King, Michael R. Lyu
Distributed Information-Theoretic Metric Learning in Apache Spark. IJCNN (2016)
Shenglin Zhao, Tong Zhao, Haiqin Yang, Michael R. Lyu, Irwin King
STELLAR: Spatial-Temporal Latent Ranking for Successive Point-of-Interest Recommendation. AAAI (2016)
Xixian Chen, Haiqin Yang, Irwin King, Michael R. Lyu
Training-Efficient Feature Map for Shift-Invariant Kernels. IJCAI (2015)
Kaizhu Huang, Haiqin Yang, Irwin King, Michael R. Lyu
WSDM'15 Workshop Summary / Scalable Data Analytics: Theory and Applications. WSDM (2015)
Junjie Hu, Haiqin Yang, Irwin King, Michael R. Lyu, Anthony Man-Cho So
Kernelized Online Imbalanced Learning with Fixed Budgets. AAAI (2015)
Haiqin Yang, Kaizhu Huang, Irwin King, Michael R. Lyu
Maximum margin semi-supervised learning with irrelevant data. Neural Networks 70 (2015)
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) (2015)
Haiqin Yang, Zenglin Xu, Michael R. Lyu, Irwin King
Budget constrained non-monotonic feature selection. Neural Networks 71 (2015)
Haiqin Yang, Zenglin Xu, Irwin King, Michael R. Lyu
Non-monotonic Feature Selection for Regression. ICONIP (2) (2014)
Chen Cheng, Haiqin Yang, Michael R. Lyu, Irwin King
Where You Like to Go Next: Successive Point-of-Interest Recommendation. IJCAI (2013)
Chenxia Wu, Haiqin Yang, Jianke Zhu, Jiemi Zhang, Irwin King, Michael R. Lyu
Sparse Poisson coding for high dimensional document clustering. IEEE BigData (2013)
Haiqin Yang, Michael R. Lyu, Irwin King
Efficient online learning for multitask feature selection. ACM Trans. Knowl. Discov. Data 7 (2) (2013)
Guang Ling, Haiqin Yang, Irwin King, Michael R. Lyu
Online learning for collaborative filtering. IJCNN (2012)
Guang Ling, Haiqin Yang, Michael R. Lyu, Irwin King
Response Aware Model-Based Collaborative Filtering CoRR (2012)
Chen Cheng, Haiqin Yang, Irwin King, Michael R. Lyu
Fused Matrix Factorization with Geographical and Social Influence in Location-Based Social Networks. AAAI (2012)
Guang Ling, Haiqin Yang, Michael R. Lyu, Irwin King
Response Aware Model-Based Collaborative Filtering. UAI (2012)
Haiqin Yang, Shenghuo Zhu, Irwin King, Michael R. Lyu
Can irrelevant data help semi-supervised learning, why and how? CIKM (2011)
Haiqin Yang, Zenglin Xu, Jieping Ye, Irwin King, Michael R. Lyu
Efficient Sparse Generalized Multiple Kernel Learning. IEEE Trans. Neural Networks 22 (3) (2011)
Zenglin Xu, Rong Jin, Haiqin Yang, Irwin King, Michael R. Lyu
Simple and Efficient Multiple Kernel Learning by Group Lasso. ICML (2010)
Haiqin Yang, Zenglin Xu, Irwin King, Michael R. Lyu
Online Learning for Group Lasso. ICML (2010)
Haiqin Yang, Irwin King, Michael R. Lyu
Multi-task Learning for one-class classification. IJCNN (2010)
Haiqin Yang, Irwin King, Michael R. Lyu
Online learning for multi-task feature selection. CIKM (2010)
Haiqin Yang, Irwin King
Ensemble Learning for Imbalanced E-commerce Transaction Anomaly Classification. ICONIP (1) (2009)
Haiqin Yang, Kaizhu Huang, Irwin King, Michael R. Lyu
Localized support vector regression for time series prediction. Neurocomputing 72 (10-12) (2009)
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) (2008)
Haiqin Yang, Kaizhu Huang, Irwin King, Michael R. Lyu
Efficient Minimax Clustering Probability Machine by Generalized Probability Product Kernel. IJCNN (2008)
Haiqin Yang, Irwin King
Sprinkled Latent Semantic Indexing for Text Classification with Background Knowledge. ICONIP (2) (2008)
Kaizhu Huang, Haiqin Yang, Irwin King, Michael R. Lyu
Local Support Vector Regression for Financial Time Series Prediction. IJCNN (2006)
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) (2006)
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) (2006)
Haiqin Yang, Kaizhu Huang, Laiwan Chan, Irwin King, Michael R. Lyu
Outliers Treatment in Support Vector Regression for Financial Time Series Prediction. ICONIP (2004)
Kaizhu Huang, Haiqin Yang, Irwin King, Michael R. Lyu
Learning large margin classifiers locally and globally. ICML (2004)
Kaizhu Huang, Haiqin Yang, Irwin King, Michael R. Lyu, Laiwan Chan
The Minimum Error Minimax Probability Machine. J. Mach. Learn. Res. 5 (2004)
Kaizhu Huang, Haiqin Yang, Irwin King, Michael R. Lyu, Laiwan Chan
Biased Minimax Probability Machine for Medical Diagnosis. AI&M (2004)
Kaizhu Huang, Haiqin Yang, Irwin King, Michael R. Lyu
Learning Classifiers from Imbalanced Data Based on Biased Minimax Probability Machine. CVPR (2) (2004)
Haiqin Yang, Laiwan Chan, Irwin King
Support Vector Machine Regression for Volatile Stock Market Prediction. IDEAL (2002)