Yew Soon Ong - RankMe

70 papers A* 21A 3B 5C 4Journal 34Unranked 3

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Genetic programming with advanced diverse partner selection for dynamic scheduling. Expert Syst. Appl. Meng Xu, Yi Mei, Fangfang Zhang, Yew Soon Ong, Mengjie Zhang
2026	J	`jnl`	The effects of critical thinking intervention on reliance behaviors, problem-solving quality, and creativity during human-Generative AI collaborative learning. Comput. Educ. Chenyu Hou, Gaoxia Zhu, Yanzhi Liu, Vidya Sudarshan, Josephine Leng Leng Chong, Fannie Yifan Zhang, Michael Yong Heng Tan, Yew Soon Ong
2026	J	`jnl`	VulReaD: Knowledge-Graph-guided Software Vulnerability Reasoning and Detection. CoRR Samal Mukhtar, Yinghua Yao, Zhu Sun, Mustafa Mustafa, Yew Soon Ong, Youcheng Sun
2025	J	`jnl`	Analytical Survey of Learning with Low-Resource Data: From Analysis to Investigation. CoRR Xiaofeng Cao, Mingwei Xu, Xin Yu, Jiangchao Yao, Wei Ye, Shengjun Huang, Minling Zhang, Ivor W. Tsang, Yew Soon Ong, James T. Kwok, Heng Tao Shen
2025	A	`conf`	Augmented Decision Spaces for Stackelberg Security Games: Sparse evolution begets scalability. GECCO Adam Zychowski, Abhishek Gupta, Yew Soon Ong, Jacek Mandziuk
2025	B	`conf`	Cognitive Support in Aviation Operations Utilizing Multimodal Large Language Models. IJCNN Ruobing Huang, Shanshan Feng, Fan Li, Caishun Chen, Yew Soon Ong
2025	J	`jnl`	EvoSpeak: Large Language Models for Interpretable Genetic Programming-Evolved Heuristics. CoRR Meng Xu, Jiao Liu, Yew Soon Ong
2025	J	`jnl`	Exploring Undergraduate Students' Computational Thinking Skills Across Engineering Design Processes. Comput. Appl. Eng. Educ. Gaoxia Zhu, Jason Fok Kow, Xiuyi Fan, Ibrahim H. Yeter, Lin Su Chit, Yew Soon Ong
2025	J	`jnl`	IEEE Fellows - Class of 2025 [Society Briefs]. IEEE Comput. Intell. Mag. Yew Soon Ong
2025	J	`jnl`	LIST: learning to index spatio-textual data for embedding based spatial keyword queries. VLDB J. Ziqi Yin, Shanshan Feng, Shang Liu, Gao Cong, Yew Soon Ong, Bin Cui
2025	B	`conf`	Looks Great, Functions Better: Physics Compliance Text-to-3D Shape Generation. IJCNN Qingshan Xu, Jiao Liu, Melvin Wong, Caishun Chen, Yew Soon Ong
2025	J	`jnl`	MazeMate: An LLM-Powered Chatbot to Support Computational Thinking in Gamified Programming Learning. CoRR Chenyu Hou, Hua Yu, Gaoxia Zhu, John Derek Anas, Jiao Liu, Yew Soon Ong
2025	J	`jnl`	Measuring undergraduate students' reliance on Generative AI during problem-solving: Scale development and validation. Comput. Educ. Chenyu Hou, Gaoxia Zhu, Vidya Sudarshan, Fun Siong Lim, Yew Soon Ong
2025	A*	`conf`	Model-Agnostic Social Network Refinement with Diffusion Models for Robust Social Recommendation. WWW Youchen Sun, Zhu Sun, Yingpeng Du, Jie Zhang, Yew Soon Ong
2025	J	`jnl`	MosaicFusion: Diffusion Models as Data Augmenters for Large Vocabulary Instance Segmentation. Int. J. Comput. Vis. Jiahao Xie, Wei Li, Xiangtai Li, Ziwei Liu, Yew Soon Ong, Chen Change Loy
2025	J	`jnl`	Pushing the Limits of Safety: A Technical Report on the ATLAS Challenge 2025. CoRR Zonghao Ying, Siyang Wu, Run Hao, Peng Ying, Shixuan Sun, Pengyu Chen, Junze Chen, Hao Du, Kaiwen Shen, Shangkun Wu, Jiwei Wei, Shiyuan He, Yang Yang, Xiaohai Xu, Ke Ma, Qianqian Xu, Qingming Huang, Shi Lin, Xun Wang, Changting Lin, Meng Han, Yilei Jiang, Siqi Lai, Yaozhi Zheng, Yifei Song, Xiangyu Yue, Zonglei Jing, Tianyuan Zhang, Zhilei Zhu, Aishan Liu, Jiakai Wang, Siyuan Liang, Xianglong Kong, Hainan Li, Junjie Mu, Haotong Qin, Yue Yu, Lei Chen, Felix Juefei-Xu, Qing Guo, Xinyun Chen, Yew Soon Ong, Xianglong Liu, Dawn Song, Alan L. Yuille, Philip Torr, Dacheng Tao
2025	A	`conf`	Quality Diversity Genetic Programming for Learning Scheduling Heuristics. GECCO Meng Xu, Frank Neumann, Aneta Neumann, Yew Soon Ong
2025	J	`jnl`	Quality Diversity Genetic Programming for Learning Scheduling Heuristics. CoRR Meng Xu, Frank Neumann, Aneta Neumann, Yew Soon Ong
2025	A*	`conf`	Towards Trustworthy Vital Sign Forecasting: Leveraging Uncertainty for Prediction Intervals. ICDM Li Rong Wang, Thomas C. Henderson, Yew Soon Ong, Yih Yng Ng, Xiuyi Fan
2025	J	`jnl`	Towards Trustworthy Vital Sign Forecasting: Leveraging Uncertainty for Prediction Intervals. CoRR Li Rong Wang, Thomas C. Henderson, Yew Soon Ong, Yih Yng Ng, Xiuyi Fan
2024	J	`jnl`	Covariance-Adaptive Sequential Black-box Optimization for Diffusion Targeted Generation. CoRR Yueming Lyu, Kim Yong Tan, Yew Soon Ong, Ivor W. Tsang
2024	—	`conf`	Diffusion Model in Normal Gathering Latent Space for Time Series Anomaly Detection. ECML/PKDD (3) Jiashu Han, Shanshan Feng, Min Zhou, Xinyu Zhang, Yew Soon Ong, Xutao Li
2024	J	`jnl`	Dockformer: A transformer-based molecular docking paradigm for large-scale virtual screening. CoRR Zhangfan Yang, Junkai Ji, Shan He, Jianqiang Li, Tiantian He, Ruibin Bai, Zexuan Zhu, Yew Soon Ong
2024	A*	`conf`	FRNet: Frequency-based Rotation Network for Long-term Time Series Forecasting. KDD Xinyu Zhang, Shanshan Feng, Jianghong Ma, Huiwei Lin, Xutao Li, Yunming Ye, Fan Li, Yew Soon Ong
2024	A*	`conf`	FedCompetitors: Harmonious Collaboration in Federated Learning with Competing Participants. AAAI Shanli Tan, Hao Cheng, Xiaohu Wu, Han Yu, Tiantian He, Yew Soon Ong, Chongjun Wang, Xiaofeng Tao
2024	B	`conf`	Finding Sets of Pareto Sets in Real-World Scenarios - A Multitask Multiobjective Perspective. CEC Jiao Liu, Yew Soon Ong, Melvin Wong
2024	A*	`conf`	Free-Rider and Conflict Aware Collaboration Formation for Cross-Silo Federated Learning. NeurIPS Mengmeng Chen, Xiaohu Wu, Xiaoli Tang, Tiantian He, Yew Soon Ong, Qiqi Liu, Qicheng Lao, Han Yu
2024	J	`jnl`	Generative AI as a Tool or Leader? Exploring AI-Augmented Thinking in Student Programming Tasks. CoRR Tianlong Zhong, Gaoxia Zhu, Kang You Lim, Yew Soon Ong
2024	J	`jnl`	Generative AI-based Prompt Evolution Engineering Design Optimization With Vision-Language Model. CoRR Melvin Wong, Thiago Rios, Stefan Menzel, Yew Soon Ong
2024	J	`jnl`	Guest Editorial Special Issue on Resource Sustainable Computational and Artificial Intelligence. IEEE Trans. Emerg. Top. Comput. Intell. Joey Tianyi Zhou, Ivor W. Tsang, Yew Soon Ong
2024	—	`conf`	Human-Generative AI Collaborative Problem Solving Who Leads and How Students Perceive the Interactions. CAI Gaoxia Zhu, Vidya Sudarshan, Jason Fok Kow, Yew Soon Ong
2024	J	`jnl`	Human-Generative AI Collaborative Problem Solving Who Leads and How Students Perceive the Interactions. CoRR Gaoxia Zhu, Vidya Sudarshan, Jason Fok Kow, Yew Soon Ong
2024	J	`jnl`	LIST: Learning to Index Spatio-Textual Data for Embedding based Spatial Keyword Queries. CoRR Ziqi Yin, Shanshan Feng, Shang Liu, Gao Cong, Yew Soon Ong, Bin Cui
2024	J	`jnl`	LLM2FEA: Discover Novel Designs with Generative Evolutionary Multitasking. CoRR Melvin Wong, Jiao Liu, Thiago Rios, Stefan Menzel, Yew Soon Ong
2024	A*	`conf`	Large Language Models for Intent-Driven Session Recommendations. SIGIR Zhu Sun, Hongyang Liu, Xinghua Qu, Kaidong Feng, Yan Wang, Yew Soon Ong
2024	A*	`conf`	Learning Accurate and Bidirectional Transformation via Dynamic Embedding Transportation for Cross-Domain Recommendation. AAAI Weiming Liu, Chaochao Chen, Xinting Liao, Mengling Hu, Yanchao Tan, Fan Wang, Xiaolin Zheng, Yew Soon Ong
2024	J	`jnl`	MRP-LLM: Multitask Reflective Large Language Models for Privacy-Preserving Next POI Recommendation. CoRR Ziqing Wu, Zhu Sun, Dongxia Wang, Lu Zhang, Jie Zhang, Yew Soon Ong
2024	J	`jnl`	Make Me Happier: Evoking Emotions Through Image Diffusion Models. CoRR Qing Lin, Jingfeng Zhang, Yew Soon Ong, Mengmi Zhang
2024	A*	`conf`	PrefAce: Face-Centric Pretraining with Self-Structure Aware Distillation. AAAI Siyuan Hu, Zheng Wang, Peng Hu, Xi Peng, Jie Wu, Hongyuan Zhu, Yew Soon Ong
2024	B	`conf`	Prompt Evolutionary Design Optimization with Generative Shape and Vision-Language models. CEC Melvin Wong, Thiago Rios, Stefan Menzel, Yew Soon Ong
2024	A*	`conf`	ROTAN: A Rotation-based Temporal Attention Network for Time-Specific Next POI Recommendation. KDD Shanshan Feng, Feiyu Meng, Lisi Chen, Shuo Shang, Yew Soon Ong
2024	A*	`conf`	Road Network Representation Learning with the Third Law of Geography. NeurIPS Haicang Zhou, Weiming Huang, Yile Chen, Tiantian He, Gao Cong, Yew Soon Ong
2024	A*	`conf`	Self-Supervised Denoising through Independent Cascade Graph Augmentation for Robust Social Recommendation. KDD Youchen Sun, Zhu Sun, Yingpeng Du, Jie Zhang, Yew Soon Ong
2024	A*	`conf`	Towards Harmless Rawlsian Fairness Regardless of Demographic Prior. NeurIPS Xuanqian Wang, Jing Li, Ivor W. Tsang, Yew Soon Ong
2024	—	`conf`	Virtual Co-Pilot: Multimodal Large Language Model-enabled Quick-access Procedures for Single Pilot Operations. CAI Fan Li, Shanshan Feng, Yuqi Yan, Ching-Hung Lee, Yew Soon Ong
2024	J	`jnl`	Virtual Co-Pilot: Multimodal Large Language Model-enabled Quick-access Procedures for Single Pilot Operations. CoRR Fan Li, Shanshan Feng, Yuqi Yan, Ching-Hung Lee, Yew Soon Ong
2023	A	`conf`	Disentangling Motives behind Item Consumption and Social Connection for Mutually-enhanced Joint Prediction. RecSys Youchen Sun, Zhu Sun, Xiao Sha, Jie Zhang, Yew Soon Ong
2023	J	`jnl`	MosaicFusion: Diffusion Models as Data Augmenters for Large Vocabulary Instance Segmentation. CoRR Jiahao Xie, Wei Li, Xiangtai Li, Ziwei Liu, Yew Soon Ong, Chen Change Loy
2023	A*	`conf`	Towards Building Voice-based Conversational Recommender Systems: Datasets, Potential Solutions and Prospects. SIGIR Xinghua Qu, Hongyang Liu, Zhu Sun, Xiang Yin, Yew Soon Ong, Lu Lu, Zejun Ma
2023	J	`jnl`	Towards Building Voice-based Conversational Recommender Systems: Datasets, Potential Solutions, and Prospects. CoRR Xinghua Qu, Hongyang Liu, Zhu Sun, Xiang Yin, Yew Soon Ong, Lu Lu, Zejun Ma
2023	J	`jnl`	Transfer Kernel Learning for Multi-Source Transfer Gaussian Process Regression. IEEE Trans. Pattern Anal. Mach. Intell. Pengfei Wei, Thanh Vinh Vo, Xinghua Qu, Yew Soon Ong, Zejun Ma
2023	J	`jnl`	Unfolded Self-Reconstruction LSH: Towards Machine Unlearning in Approximate Nearest Neighbour Search. CoRR Kim Yong Tan, Yueming Lyu, Yew Soon Ong, Ivor W. Tsang
2022	C	`conf`	0.08mm ISCAS Yi Sheng Chong, Wang Ling Goh, Yew Soon Ong, Vishnu P. Nambiar, Anh Tuan Do
2022	B	`conf`	Anti-Forensic Deepfake Personas and How To Spot Them. IJCNN Nguyen Hong Ngoc, Alvin Chan, Huynh Thi Thanh Binh, Yew Soon Ong
2022	J	`jnl`	CIS Publication Spotlight [Publication Spotlight]. IEEE Comput. Intell. Mag. Yongduan Song, Jon Garibaldi, Carlos A. Coello Coello, Georgios N. Yannakakis, Huajin Tang, Yew Soon Ong, Hussein A. Abbass
2022	J	`jnl`	CIS Publication Spotlight [Publication Spotlight]. IEEE Comput. Intell. Mag. Yongduan Song, Jon Garibaldi, Carlos A. Coello Coello, Georgios N. Yannakakis, Huajin Tang, Yew Soon Ong, Hussein A. Abbass
2022	J	`jnl`	CIS Publication Spotlight [Publication Spotlight]. IEEE Comput. Intell. Mag. Yongduan Song, Jon Garibaldi, Carlos A. Coello Coello, Georgios N. Yannakakis, Huajin Tang, Yew Soon Ong, Hussein A. Abbass
2022	J	`jnl`	CIS Publication Spotlight. IEEE Comput. Intell. Mag. Yongduan Song, Jon Garibaldi, Carlos A. Coello Coello, Georgios N. Yannakakis, Yew Soon Ong
2022	A*	`conf`	Geo-Neus: Geometry-Consistent Neural Implicit Surfaces Learning for Multi-view Reconstruction. NeurIPS Qiancheng Fu, Qingshan Xu, Yew Soon Ong, Wenbing Tao
2022	A*	`conf`	How Does Frequency Bias Affect the Robustness of Neural Image Classifiers against Common Corruption and Adversarial Perturbations? IJCAI Alvin Chan, Yew Soon Ong, Clement Tan
2022	A*	`conf`	Importance Prioritized Policy Distillation. KDD Xinghua Qu, Yew Soon Ong, Abhishek Gupta, Pengfei Wei, Zhu Sun, Zejun Ma
2022	J	`jnl`	Masked Frequency Modeling for Self-Supervised Visual Pre-Training. CoRR Jiahao Xie, Wei Li, Xiaohang Zhan, Ziwei Liu, Yew Soon Ong, Chen Change Loy
2022	A*	`conf`	Next Point-of-Interest Recommendation with Inferring Multi-step Future Preferences. IJCAI Lu Zhang, Zhu Sun, Ziqing Wu, Jie Zhang, Yew Soon Ong, Xinghua Qu
2022	C	`conf`	Recovering Accuracy of RRAM-based CIM for Binarized Neural Network via Chip-in-the-loop Training. ISCAS Yi Sheng Chong, Wang Ling Goh, Yew Soon Ong, Vishnu P. Nambiar, Anh Tuan Do
2022	A*	`conf`	Revisiting Bundle Recommendation: Datasets, Tasks, Challenges and Opportunities for Intent-aware Product Bundling. SIGIR Zhu Sun, Jie Yang, Kaidong Feng, Hui Fang, Xinghua Qu, Yew Soon Ong
2022	A*	`conf`	Synthesising Audio Adversarial Examples for Automatic Speech Recognition. KDD Xinghua Qu, Pengfei Wei, Mingyong Gao, Zhu Sun, Yew Soon Ong, Zejun Ma
2021	C	`conf`	An Energy-Efficient Convolution Unit for Depthwise Separable Convolutional Neural Networks. ISCAS Yi Sheng Chong, Wang Ling Goh, Yew Soon Ong, Vishnu P. Nambiar, Anh Tuan Do
2021	C	`conf`	Efficient Implementation of Activation Functions for LSTM accelerators. VLSI-SoC Yi Sheng Chong, Wang Ling Goh, Yew Soon Ong, Vishnu P. Nambiar, Anh Tuan Do
2021	A*	`conf`	Learning Conjoint Attentions for Graph Neural Nets. NeurIPS Tiantian He, Yew Soon Ong, Lu Bai
2021	A*	`conf`	Unsupervised Object-Level Representation Learning from Scene Images. NeurIPS Jiahao Xie, Xiaohang Zhan, Ziwei Liu, Yew Soon Ong, Chen Change Loy