Publication

• Xinyue Liu, Mingda Li, Luoxin Chen, Prashan Wanigasekara, Weitong Ruan, Haidar Khan, Wael Hamza and Chengwei Su
  ASR n-best Fusion Nets
  IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP '21)
• Hang Yin, Xinyue Liu and Xiangnan Kong
  Gaussian Mixture Graphical Lasso with Application to Edge Detection in Brain Networks
  IEEE International Conference on Big Data (BIGDATA '20)
• Mingda Li, Xinyue Liu, Weitong Ruan, Luca Soldaini, Wael Hamza and Chengwei Su
  Multi-task Learning of Spoken Language Understanding by Integrating N-Best Hypotheses with Hierarchical Attention
  International Conference on Computational Linguistics (COLING '20)
• Luoxin Chen, Xinyue Liu, Weitong Ruan and Jianhua Lu
  Enhance Robustness of Sequence Labelling with Masked Adversarial Training
  Empirical Methods in Natural Language Processing (EMNLP '20)
• Xin Dai, Xiangnan Kong, Tian Guo, John Boaz Lee, Xinyue Liu and Constance M. Moore
  Recurrent Networks for Guided Multi-Attention Classification
  ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD '20)
• Yao Zhang, Yun Xiong, Xiangnan Kong, Xinyue Liu and Yangyong Zhu
  Multi-task Attributed Graphical Lasso
  International Joint Conference on Web and Big Data (APWeb-WAIM '20)
• Luoxin Chen, Weitong Ruan, Xinyue Liu and Jianhua Lu
  SeqVAT: Virtual Adversarial Training for Semi-Supervised Sequence Labelling
  Annual Conference of the Association for Computational Linguistics (ACL '20)
• Yun Xiong, Shaofeng Xu, Keyao Rong, Xinyue Liu, Xiangnan Kong, Shanshan Li, Philip Yu and Yangyong Zhu
  Code2Text: Dual Attention Syntax Annotation Networks for Structure-aware Code Translation
  International Conference on Database Systems for Advanced Applications (DASFAA '20)
• Xin Dai, Xiangnan Kong, Xinyue Liu, John Boaz Lee and Constance M. Moore
  Dual-Attention Recurrent Networks for Affine Registration of Neuroimaging Data
  SIAM International Conference on Data Mining (SDM '20)
• Mingda Li, Weitong Ruan, Xinyue Liu, Luca Soldaini, Wael Hamza and Chengwei Su
  Improving Spoken Language Understanding By Exploiting ASR N-best Hypotheses
  arXiv:2001.05284
• Jianjun Luo, Xinyue Liu and Xiangnan Kong
  Competitive Opinion Maximization in Social Networks
  IEEE/ACM International Conference on Social Networks Analysis and Mining (ASONAM '19)
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• Thanh Tran, Xinyue Liu, Kyumin Lee and Xiangnan Kong
  Signed Distance-based Deep Memory Recommender
  ACM International World Wide Web Conference (TheWebConf '19)
  arXiv:1905.00453
• Xinyue Liu, Xiangnan Kong, Lei Liu and Kuorong Chiang
  TreeGAN: Syntax-Aware Sequence Generation with Generative Adversarial Networks
  IEEE International Conference on Data Mining (ICDM '18)
  arXiv:1808.07582
• Hang Yin, Xinyue Liu and Xiangnan Kong
  Coherent Graphical Lasso for Brain Network Discovery
  IEEE International Conference on Data Mining (ICDM '18)
  IEEE:859500
• Xinyue Liu, Xiangnan Kong and Philip S. Yu
  Active Opinion Maximization in Social Networks
  ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD '18)
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• Xinyue Liu, Yuanfang Song, Charu Aggarwal, Yao Zhang and Xiangnan Kong
  BiCycle: Item Recommendation with Life Cycles
  IEEE International Conference on Data Mining (ICDM '17)
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• Saket Sathe, Charu Aggarwal, Xiangnan Kong and Xinyue Liu
  Kernel-Based Feature Extraction For Collaborative Filtering
  IEEE International Conference on Data Mining (ICDM '17)
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• Xinyue Liu, Xiangnan Kong and Philip S. Yu
  Collective Discovery of Brain Networks with Unknown Groups
  International Joint Conference on Neural Networks (IJCNN '17)
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• Xinyue Liu, Xiangnan Kong and Ann B. Ragin
  Unified and Contrasting Graphical Lasso for Brain Network Discovery
  SIAM International Conference on Data Mining (SDM '17)
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• Yao Zhang, Yun Xiong, Xinyue Liu, Xiangnan Kong and Yangyong Zhu
  Meta-Path Graphical Lasso for Learning Heterogeneous Connectivities
  SIAM International Conference on Data Mining (SDM '17)
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• Xinyue Liu, Xiangnan Kong and Yanhua Li
  Collective Traffic Prediction with Partially Observed Traffic History using Location-Based Social Media
  ACM International Conference on Information and Knowledge Management (CIKM '16)
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• Xinyue Liu, Charu Aggarwal, Yu-Feng Li, Xiangnan Kong, Xinyuan Sun and Saket Sathe
  Kernelized Matrix Factorization for Collaborative Filtering
  SIAM International Conference on Data Mining (SDM '16)
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