Research by NUS Computing faculty and students featured in AAAI 2021

5 February 2021

5 February 2021 – Twenty-two research papers by NUS Computing faculty and students are featured in the 35th AAAI Conference on Artificial Intelligence, which is currently ongoing and will end on February 9.

The AAAI conference provides a platform for researchers, practitioners, and engineers in affiliated disciplines to share and exchange insights from artificial intelligence (AI) research.

In total, 26 NUS Computing faculty and students contributed to the papers that were accepted for the conference.

Here is the full list of papers by NUS Computing faculty and students at AAAI 2021:

Adaptive Knowledge Driven Regularization for Deep Neural Networks
Zhaojing Luo, Shaofeng Cai, Can Cui, Beng Chin Ooi, Yang Yang

Justicia: A Stochastic SAT Approach to Formally Verify Fairness
Bishwamittra Ghosh, Debabrota Basu, Kuldeep S Meel

The Price of Connectivity in Fair Division
Xiaohui Bei, Ayumi Igarashi, Xinhang Lu, Warut Suksompong

High-Dimensional Bayesian Optimization via Tree-Structured Additive Models
Eric LW Han, Ishank Arora, Jonathan Scarlett

Enhanced Audio Tagging via Multi- to Single-Modal Teacher-Student Mutual Learning
Yifang Yin, Harsh Shrivastava, Ying Zhang, Zhenguang Liu, Rajiv Ratn Shah, Roger Zimmermann

Dividing a Graphical Cake
Xiaohui Bei, Warut Suksompong

Welfare Guarantees in Schelling Segregation
Martin Bullinger, Warut Suksompong, Alexandros Voudouris

A Spatial Regulated Patch-Wise Approach for Cervical Dysplasia Diagnosis
Ying Zhang, Yifang Yin, Zhenguang Liu, Roger Zimmermann

Enhancing Balanced Graph Edge Partition with Effective Local Search
Zhenyu Guo, Mingyu Xiao, Yi Zhou, Dongxiang Zhang, Kian-Lee Tan

Mind the Gap: Cake Cutting with Separation
Edith Elkind, Erel Segal-Halevi, Warut Suksompong

ExGAN: Adversarial Generation of Extreme Samples
Siddharth Bhatia, Arjit Jain, Bryan Hooi

Margin of Victory in Tournaments: Structural and Experimental Results
Markus Brill, Ulrike Schmidt-Kraepelin, Warut Suksompong

AugSplicing: Synchronized Behavior Detection in Streaming Tensors
Jiabao Zhang, Shenghua Liu, Wenting Hou, Siddharth Bhatia, Huawei Shen, Wenjian Yu, Xueqi Cheng

Conceptualized and Contextualized Gaussian Embedding
Chen Qian, Fuli Feng, Lijie Wen, Tat-Seng Chua

Predicting Forest Fire Using Remote Sensing Data and Machine Learning
Suwei Yang, Massimo Lupascu, Kuldeep S Meel

Graph Neural Network-Based Anomaly Detection in Multivariate Time Series
Ailin Deng, Bryan Hooi

Symmetric Component Caching for Model Counting on Combinatorial Instances
Timothy van Bremen, Vincent Derkinderen, Shubham Sharma, Subhajit Roy, Kuldeep S Meel

Context-Guided BERT for Targeted Aspect-Based Sentiment Analysis
Zhengxuan Wu, Desmond Ong

Counting Maximal Satisfiable Subsets
Jaroslav Bendík, Kuldeep S Meel

An Information-Theoretic Framework for Unifying Active Learning Problems
Quoc Phong Nguyen, Bryan Kian Hsiang Low, Patrick Jaillet

The Power of Literal Equivalence in Model Counting
Yong Lai, Kuldeep S MeelRoland Yap

Top-k Ranking Bayesian Optimization
Quoc Phong Nguyen, Sebastian Tay, Bryan Kian Hsiang Low, Patrick Jaillet

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