Recent Publications

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Data Predictive Control of Nonlinear Process Feature Dynamics through Latent Variable Behaviours.
Computers and Chemical Engineering, 2022.

MDERank: A Masked Document Embedding Rank Approach for Unsupervised Keyphrase Extraction.
ACL Findings, 2022.

Neural Subgraph Counting with Wasserstein Estimator.
SIGMOD, 2022.

Reinforcement Learning Based Query Vertex Ordering Model for Subgraph Matching.
ICDE, 2022.

Software-defined Network Assimilation: Bridging the Last Mile Towards Centralized Network Configuration Management with NAssim.
SIGCOMM, 2022.

Unbiased Quasi-hyperbolic Nesterov-gradient Momentum-based Optimizers for Accelerating Convergence.
World Wide Web, 2022.

A Single-to-Multi Network for Latency-Free Non-Intrusive Load Monitoring.
IEEE Trans. Netw. Sci. Eng., 2021.

A Smart Adversarial Attack on Deep Hashing Based Image Retrieval.
ICMR, 2021.

Adversarial Defense by Diversified Simultaneous Training of Deep Ensembles.
The 35th AAAI Conference on Artificial Intelligence (AAAI 2021), 2021.

Consistent and Flexible Selectivity Estimation for High-Dimensional Data.
SIGMOD, 2021.

Projects

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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.

Teaching

I am the LiC of the following courses at UNSW:

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

Recent Posts

Guangzhou Pilot Scheme PhD (2021-22) Several PhD positions with full scholarships are available (starting Spring or Fall 2022). The PhD …

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