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 Meel, Roland Yap
Top-k Ranking Bayesian Optimization
Quoc Phong Nguyen, Sebastian Tay, Bryan Kian Hsiang Low, Patrick Jaillet
Assistant Professor Yair Zick: Ethics in Artificial Intelligence