| 2026 | AIED | Grounding Programming Chatbot in Computational Thinking: Design and Evaluation of MazeMate. | Chenyu Hou, Hua Yu, Gaoxia Zhu, John Derek Anas, Jiao Liu, Yew Soon Ong |
| 2026 | GECCO | QD-LLMs: Quality-Diversity Optimization with LLMs for Generative Design Exploration. | Ariq Koh, Melvin Wong, Jiao Liu, Caishun Chen, Thiago Rios, Stefan Menzel, Yew Soon Ong |
| 2026 | PPSN | Insights from Multi-tasking the EAX Algorithm for the Travelling Salesperson Problem. | Liam Wigney, Aneta Neumann, Yew Soon Ong, Frank Neumann |
| 2025 | GECCO | Quality Diversity Genetic Programming for Learning Scheduling Heuristics. | Meng Xu, Frank Neumann, Aneta Neumann, Yew Soon Ong |
| 2025 | GECCO | Augmented Decision Spaces for Stackelberg Security Games: Sparse evolution begets scalability. | Adam Zychowski, Abhishek Gupta, Yew Soon Ong, Jacek Mandziuk |
| 2025 | ICDM | Towards Trustworthy Vital Sign Forecasting: Leveraging Uncertainty for Prediction Intervals. | Li Rong Wang, Thomas C. Henderson, Yew Soon Ong, Yih Yng Ng, Xiuyi Fan |
| 2025 | IJCNN | Cognitive Support in Aviation Operations Utilizing Multimodal Large Language Models. | Ruobing Huang, Shanshan Feng, Fan Li, Caishun Chen, Yew Soon Ong |
| 2025 | IJCNN | Looks Great, Functions Better: Physics Compliance Text-to-3D Shape Generation. | Qingshan Xu, Jiao Liu, Melvin Wong, Caishun Chen, Yew Soon Ong |
| 2025 | WWW | Model-Agnostic Social Network Refinement with Diffusion Models for Robust Social Recommendation. | Youchen Sun, Zhu Sun, Yingpeng Du, Jie Zhang, Yew Soon Ong |
| 2024 | AAAI | Learning Accurate and Bidirectional Transformation via Dynamic Embedding Transportation for Cross-Domain Recommendation. | Weiming Liu, Chaochao Chen, Xinting Liao, Mengling Hu, Yanchao Tan, Fan Wang, Xiaolin Zheng, Yew Soon Ong |
| 2024 | AAAI | PrefAce: Face-Centric Pretraining with Self-Structure Aware Distillation. | Siyuan Hu, Zheng Wang, Peng Hu, Xi Peng, Jie Wu, Hongyuan Zhu, Yew Soon Ong |
| 2024 | AAAI | FedCompetitors: Harmonious Collaboration in Federated Learning with Competing Participants. | Shanli Tan, Hao Cheng, Xiaohu Wu, Han Yu, Tiantian He, Yew Soon Ong, Chongjun Wang, Xiaofeng Tao |
| 2024 | CEC | Finding Sets of Pareto Sets in Real-World Scenarios - A Multitask Multiobjective Perspective. | Jiao Liu, Yew Soon Ong, Melvin Wong |
| 2024 | CEC | Prompt Evolutionary Design Optimization with Generative Shape and Vision-Language models. | Melvin Wong, Thiago Rios, Stefan Menzel, Yew Soon Ong |
| 2024 | KDD | ROTAN: A Rotation-based Temporal Attention Network for Time-Specific Next POI Recommendation. | Shanshan Feng, Feiyu Meng, Lisi Chen, Shuo Shang, Yew Soon Ong |
| 2024 | KDD | Self-Supervised Denoising through Independent Cascade Graph Augmentation for Robust Social Recommendation. | Youchen Sun, Zhu Sun, Yingpeng Du, Jie Zhang, Yew Soon Ong |
| 2024 | KDD | FRNet: Frequency-based Rotation Network for Long-term Time Series Forecasting. | Xinyu Zhang, Shanshan Feng, Jianghong Ma, Huiwei Lin, Xutao Li, Yunming Ye, Fan Li, Yew Soon Ong |
| 2024 | SIGIR | Large Language Models for Intent-Driven Session Recommendations. | Zhu Sun, Hongyang Liu, Xinghua Qu, Kaidong Feng, Yan Wang, Yew Soon Ong |
| 2023 | RecSys | Disentangling Motives behind Item Consumption and Social Connection for Mutually-enhanced Joint Prediction. | Youchen Sun, Zhu Sun, Xiao Sha, Jie Zhang, Yew Soon Ong |
| 2023 | SIGIR | Towards Building Voice-based Conversational Recommender Systems: Datasets, Potential Solutions and Prospects. | Xinghua Qu, Hongyang Liu, Zhu Sun, Xiang Yin, Yew Soon Ong, Lu Lu, Zejun Ma |
| 2022 | IJCAI | How Does Frequency Bias Affect the Robustness of Neural Image Classifiers against Common Corruption and Adversarial Perturbations? | Alvin Chan, Yew Soon Ong, Clement Tan |
| 2022 | IJCAI | Next Point-of-Interest Recommendation with Inferring Multi-step Future Preferences. | Lu Zhang, Zhu Sun, Ziqing Wu, Jie Zhang, Yew Soon Ong, Xinghua Qu |
| 2022 | IJCNN | Anti-Forensic Deepfake Personas and How To Spot Them. | Nguyen Hong Ngoc, Alvin Chan, Huynh Thi Thanh Binh, Yew Soon Ong |
| 2022 | ISCAS | 0.08mm | Yi Sheng Chong, Wang Ling Goh, Yew Soon Ong, Vishnu P. Nambiar, Anh Tuan Do |
| 2022 | ISCAS | Recovering Accuracy of RRAM-based CIM for Binarized Neural Network via Chip-in-the-loop Training. | Yi Sheng Chong, Wang Ling Goh, Yew Soon Ong, Vishnu P. Nambiar, Anh Tuan Do |
| 2022 | KDD | Importance Prioritized Policy Distillation. | Xinghua Qu, Yew Soon Ong, Abhishek Gupta, Pengfei Wei, Zhu Sun, Zejun Ma |
| 2022 | KDD | Synthesising Audio Adversarial Examples for Automatic Speech Recognition. | Xinghua Qu, Pengfei Wei, Mingyong Gao, Zhu Sun, Yew Soon Ong, Zejun Ma |
| 2022 | SIGIR | Revisiting Bundle Recommendation: Datasets, Tasks, Challenges and Opportunities for Intent-aware Product Bundling. | Zhu Sun, Jie Yang, Kaidong Feng, Hui Fang, Xinghua Qu, Yew Soon Ong |
| 2021 | ISCAS | An Energy-Efficient Convolution Unit for Depthwise Separable Convolutional Neural Networks. | Yi Sheng Chong, Wang Ling Goh, Yew Soon Ong, Vishnu P. Nambiar, Anh Tuan Do |