Yang, Haiqin

19 publications

ICLRW 2025 Intrinsic Evaluation of Unlearning Using Parametric Knowledge Traces Yihuai Hong, Lei Yu, Haiqin Yang, Shauli Ravfogel, Mor Geva
UAI 2024 Dirichlet Continual Learning: Tackling Catastrophic Forgetting in NLP Min Zeng, Haiqin Yang, Wei Xue, Qifeng Liu, Yike Guo
ICML 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, Haiqin Yang, Bei Yu
IJCAI 2022 Vision-and-Language Pretrained Models: A Survey Siqu Long, Feiqi Cao, Soyeon Caren Han, Haiqin Yang
IJCAI 2021 Progressive Open-Domain Response Generation with Multiple Controllable Attributes Haiqin Yang, Xiaoyuan Yao, Yiqun Duan, Jianping Shen, Jie Zhong, Kun Zhang
IJCAI 2018 TreeNet: Learning Sentence Representations with Unconstrained Tree Structure Zhou Cheng, Chun Yuan, Jiancheng Li, Haiqin Yang
AAAI 2017 Efficient Non-Oblivious Randomized Reduction for Risk Minimization with Improved Excess Risk Guarantee Yi Xu, Haiqin Yang, Lijun Zhang, Tianbao Yang
AAAI 2016 STELLAR: Spatial-Temporal Latent Ranking for Successive Point-of-Interest Recommendation Shenglin Zhao, Tong Zhao, Haiqin Yang, Michael R. Lyu, Irwin King
AAAI 2015 Kernelized Online Imbalanced Learning with Fixed Budgets Junjie Hu, Haiqin Yang, Irwin King, Michael R. Lyu, Anthony Man-Cho So
IJCAI 2015 Training-Efficient Feature mAP for Shift-Invariant Kernels Xixian Chen, Haiqin Yang, Irwin King, Michael R. Lyu
IJCAI 2013 Where You like to Go Next: Successive Point-of-Interest Recommendation Chen Cheng, Haiqin Yang, Michael R. Lyu, Irwin King
AAAI 2012 Fused Matrix Factorization with Geographical and Social Influence in Location-Based Social Networks Chen Cheng, Haiqin Yang, Irwin King, Michael R. Lyu
UAI 2012 Response Aware Model-Based Collaborative Filtering Guang Ling, Haiqin Yang, Michael R. Lyu, Irwin King
ICML 2010 Online Learning for Group Lasso Haiqin Yang, Zenglin Xu, Irwin King, Michael R. Lyu
ICML 2010 Simple and Efficient Multiple Kernel Learning by Group Lasso Zenglin Xu, Rong Jin, Haiqin Yang, Irwin King, Michael R. Lyu
CVPR 2004 Learning Classifiers from Imbalanced Data Based on Biased Minimax Probability Machine Kaizhu Huang, Haiqin Yang, Irwin King, Michael R. Lyu
ICML 2004 Learning Large Margin Classifiers Locally and Globally Kaizhu Huang, Haiqin Yang, Irwin King, Michael R. Lyu
JMLR 2004 The Minimum Error Minimax Probability Machine Kaizhu Huang, Haiqin Yang, Irwin King, Michael R. Lyu, Laiwan Chan