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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