Papers

* indicates equal contribution.


2020

1. Han Fu, Rui Wu, Chenghao Liu, Jianling Sun. MCEN: Bridging Cross-Modal Gap between Cooking Recipes and Dish Images with Latent Variable Model. In Proceedings of 2020 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2020.

2. Jianwen Yin*, Chenghao Liu*, Weiqing Wang, Jianling Sun, Steven C.H. Hoi. Learning Transferrable Parameters for Long-tailed Sequential User Behavior Modeling . In Proceedings of the 26th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD), 2020.

3. Kaize Ding, Jianling Wang, Jundong Li, Kai Shu, Chenghao Liu, Huan Liu. Graph Prototypical Networks for Few-shot Learning on Attributed Networks. In Proceedings of the 29th ACM International Conference on Information and Knowledge Management (CIKM), 2020.

4. Chenghao Liu*, Zhihao Wang*, Doyen Sahoo, Yuan Fang, Kun Zhang, Steven C.H. Hoi. Adaptive Task Sampling for Meta-Learning. In Proceedings of the 16th European Conference on Computer Vision (ECCV), 2020.

2019

  1. Xin Wang, Wenwu Zhu, and Chenghao Liu. Semi-supervised Deep Quantization for Cross-modal Search. In Proceedings of the 27th ACM International Conference on Multimedia (MM), Nice, France, Oct 21-Oct 25, 2019.
  2. Jundong Li, Liang Wu, Ruocheng Guo, Chenghao Liu, Huan Liu. Multi-Level Network Embedding with Boosted Low-Rank Matrix Approximation. In Proceedings of the 2019 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM), Vancouver, Canada, Aug 27-30, 2019.
  3. Han Fu, Chenghao Liu, and Jianling Sun. Reference Network for Neural Machine Translation. In Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics (ACL), Florence, Italy, Jul 28- Aug 2, 2019.
  4. Jundong Li, Ruocheng Guo, Chenghao Liu, and Huan Liu. Adaptive Unsupervised Feature Selection on Attributed Networks. In Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD), Anchorage, Alaska, USA, Aug 4-8, 2019.
  5. Xin Wang, Wenwu Zhu, and Chenghao Liu. Social Recommendation with Optimal Limited Attention. In Proceedings of the 55th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD), Anchorage, Alaska, USA, Aug 4-8, 2019.
  6. Chenghao Liu, Tao Lu, Xin Wang, Zhiyong Cheng, Jianling Sun, and Steven C.H. Hoi. Compositional Coding for Collaborative Filtering. In Proceedings of the 42nd International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR), Pairs, France, Jul 21-25, 2019.
  7. Hao Wang, Doyen Sahoo, Chenghao Liu, Ee-peng Lim, and Steven C.H. Hoi. Learning Cross Modal Embeddings with Adversarial Networks for Cooking Recipes and Food Images. In Proceedings of 2019 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Long Beach, CA, Jun 16-20, 2019.
  8. Chenghao Liu*, Xin Wang*, Tao Lu, Wenwu Zhu, Jianling Sun, and Steven C.H. Hoi. Discrete Social Recommendation. In Proceedings of the 33nd AAAI Conference on Artificial Intelligence (AAAI), Honolulu, Hawaii, USA, Jan 27- Feb 1, 2019.
  9. Jianwen Yin, Chenghao Liu, Jundong Li, Bing Tian Dai, Yun chen Chen, Min Wu, and Jianling Sun. Online Collaborative Filtering with Implicit Feedback. In Proceedings of the 24th International Conference on Database Systems for Advanced Applications (DASFAA), Chiang Mai, Thailand, Apr 22-25, 2019.
  10. Chenghao Liu, Teng Zhang, Jundong Li, Jianwen Yin, Peilin Zhao, Jianling Sun, , and Steven C.H. Hoi. Robust Factorization Machine: A Doubly Capped Norms Minimization. In Proceedings of the 2019 SIAM International Conference on Data Mining (SDM), Calgary, Canada, May 2-4, 2019.

2018

  1. Yong Liu, Min Wu, Chenghao Liu, Xiao-Li Li, and Jie Zheng. SL2MF: Predicting Synthetic Lethality in Human Cancers via Logistic Matrix Factorization. The 29th International Conference on Genome Informatics, IEEE/ACM Transactions on Computational Biology and Bioinformatics (TCBB) Track, Yunnan, China, Dec 3-5, 2018, 2018.
  2. Chenghao Liu, Teng Zhang, Peilin Zhao, Steven C.H. Hoi, and Jianling Sun. Unified Locally Linear Classifiers with Diversity-promoting Anchor Points . In Proceedings of the 32nd AAAI Conference on Artificial Intelligence (AAAI), New Orleans, Louisiana, USA, Feb 2-7, 2018.

2017

  1. Yi Ding, Chenghao Liu, Peilin Zhao, and Steven C.H. Hoi. Large Scale Kernel Methods for Online AUC Maximization. In Proceedings of the 17th IEEE International Conference on Data Mining (ICDM), New Orleans, LA, USA, Nov 18-21, 2017.
  2. Xin Wang, Steven C.H. Hoi, Chenghao Liu, Martin Ester, and Chun Chen. Interactive Social Recommendation. In Proceedings of the 26th ACM International Conference on Information and Knowledge Management (CIKM), Pan Pacific Singapore, Nov 6-10, 2017.
  3. Chenghao Liu, Teng Zhang, Peilin Zhao, and Jianling Sun. Locally Linear Factorization Machines. In Proceedings of the 26th International Joint Conference on Artificial Intelligence (IJCAI), Melbourne, Australia, Aug 19-25, 2017.
  4. Chenghao Liu, Tao Jin, Steven C.H. Hoi, Peilin Zhao, and Jianling Sun. Collaborative topic regression for online recommender systems: an online and Bayesian approach. Machine Learning (MLJ), 106(5):651–670, 2017.
  5. Yue Wu, Steven C.H. Hoi, Chenghao Liu, Jing Lu, Doyen Sahoo, and Nenghai Yu. SOL: A Library for Scalable Online Learning Algorithms. Neurocomputing, 260:9–12, 2017.

2016

  1. Chenghao Liu, Steven C.H. Hoi, Peilin Zhao, Jianling Sun, and Ee peng Lim. Online Adaptive Passive-Aggressive Methods for Non-Negative Matrix Factorization and Its Applications. In Proceedings of the 25th ACM International Conference on Information and Knowledge Management (CIKM), Indianapolis, USA, Oct 24-28, 2016.
  2. Chenghao Liu, Steven C.H. Hoi, Peilin Zhao, and Jianling Sun. Online ARIMA Algorithms for Time Series Prediction. In Proceedings of the 30st AAAI Conference on Artificial Intelligence (AAAI), Phoenix, Arizona, USA, February 12-17, 2016.