Recent Publications

More Publications

. Antonym-Synonym Classification Based on New Sub-space Embeddings. The 33rd AAAI Conference on Artificial Intelligence (AAAI 2019), 2019.

. Approximate Nearest Neighbor Search on High Dimensional Data --- Experiments, Analyses, and Improvement. TKDE, 2019.

. Extracting Definitions and Hypernyms with a Two-Phase Framework. The 24th International Conference on Database Systems for Advanced Applications (DASFAA 2019), 2019.

. Generalizing the Pigeonhole Principle for Similarity Search in Hamming Space. TKDE, 2019.

. How to best use Syntax in Semantic Role Labelling. The 57th Annual Meeting of Computational Linguistics (ACL 2019), 2019.

. I-LSH: I/O efficient c-Approximate Nearest Neighbor Search in High-dimensional Space. The 35th International Conference on Data Engineering (ICDE 2019), 2019.

. Jointly Extracting Multiple-triplets via Ranking with Translation Mechanism. The 33rd AAAI Conference on Artificial Intelligence (AAAI 2019), 2019.

. Model-Agnostic Adversarial Detection by Random Perturbations. The 28th International Joint Conference on Artificial Intelligence (IJCAI 2019), 2019.

. Multi-hop Reading Comprehension via Deep Reinforcement Learning based Document Traversal. arXiv, 2019.

. A CRF-based Stacking Model with Extensive Features for NER. The 22nd Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD 2018), 2018.



High Dimensional Data

Understanding and processing high-dimensional data

Integration of DB and AI

There are plenty of opportunities to integrate the Database and AI technologies.

Knowledge Graphs and NLP

Knowledge graphs and NLP

Security Issues for AI

Despite their wide success in many tasks, AI models are vulnerable to a plethora of attacks. We study attack and defense for AI models.


I am the LiC of the following courses at UNSW:

  • COMP9318: Data Warehousing and Data Mining
  • COMP6714: Information Retrieval and Web Search

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