Tan, Kay Chen

11 publications

AAAI 2025 Design Principle Transfer in Neural Architecture Search via Large Language Models Xun Zhou, Xingyu Wu, Liang Feng, Zhichao Lu, Kay Chen Tan

AAAI 2025 Interpretable Solutions for Multi-Physics PDEs Using T-NNGP Lulu Cao, Zexin Lin, Kay Chen Tan, Min Jiang

IJCAI 2025 Neuromorphic Sequential Arena: A Benchmark for Neuromorphic Temporal Processing Xinyi Chen, Chenxiang Ma, Yujie Wu, Kay Chen Tan, Jibin Wu

AAAI 2024 An Interpretable Approach to the Solutions of High-Dimensional Partial Differential Equations Lulu Cao, Yufei Liu, Zhenzhong Wang, Dejun Xu, Kai Ye, Kay Chen Tan, Min Jiang

AAAI 2024 Generating Diagnostic and Actionable Explanations for Fair Graph Neural Networks Zhenzhong Wang, Qingyuan Zeng, Wanyu Lin, Min Jiang, Kay Chen Tan

IJCAI 2024 Large Language Model-Enhanced Algorithm Selection: Towards Comprehensive Algorithm Representation Xingyu Wu, Yan Zhong, Jibin Wu, Bingbing Jiang, Kay Chen Tan

AAAI 2024 TC-LIF: A Two-Compartment Spiking Neuron Model for Long-Term Sequential Modelling Shimin Zhang, Qu Yang, Chenxiang Ma, Jibin Wu, Haizhou Li, Kay Chen Tan

AAAI 2023 Robust Graph Meta-Learning via Manifold Calibration with Proxy Subgraphs Zhenzhong Wang, Lulu Cao, Wanyu Lin, Min Jiang, Kay Chen Tan

CVPR 2022 Crowd Counting in the Frequency Domain Weibo Shu, Jia Wan, Kay Chen Tan, Sam Kwong, Antoni B. Chan

IJCAI 2020 Multi-Label Feature Selection via Global Relevance and Redundancy Optimization Jia Zhang, Yidong Lin, Min Jiang, Shaozi Li, Yong Tang, Kay Chen Tan

JAIR 2003 An Evolutionary Algorithm with Advanced Goal and Priority Specification for Multi-Objective Optimization Kay Chen Tan, Eik Fun Khor, Tong Heng Lee, Ramasubramanian Sathikannan