Yew Soon Ong

Publication Activity (10 Years)

Years Active: 2021-2024
Publications (10 Years): 40

Top Topics

Kernel Learning

Gaussian Process

Recommender Systems

Top Venues

IEEE Comput. Intell. Mag.

Publications

Ziqi Yin, Shanshan Feng, Shang Liu, Gao Cong, Yew Soon Ong, Bin Cui
LIST: Learning to Index Spatio-Textual Data for Embedding based Spatial Keyword Queries. CoRR (2024)
Fan Li, Shanshan Feng, Yuqi Yan, Ching-Hung Lee, Yew Soon Ong
Virtual Co-Pilot: Multimodal Large Language Model-enabled Quick-access Procedures for Single Pilot Operations. CoRR (2024)
Melvin Wong, Thiago Rios, Stefan Menzel, Yew Soon Ong
Prompt Evolutionary Design Optimization with Generative Shape and Vision-Language models. CEC (2024)
Siyuan Hu, Zheng Wang, Peng Hu, Xi Peng, Jie Wu, Hongyuan Zhu, Yew Soon Ong
PrefAce: Face-Centric Pretraining with Self-Structure Aware Distillation. AAAI (2024)
Yueming Lyu, Kim Yong Tan, Yew Soon Ong, Ivor W. Tsang
Covariance-Adaptive Sequential Black-box Optimization for Diffusion Targeted Generation. CoRR (2024)
Gaoxia Zhu, Vidya Sudarshan, Jason Fok Kow, Yew Soon Ong
Human-Generative AI Collaborative Problem Solving Who Leads and How Students Perceive the Interactions. CoRR (2024)
Youchen Sun, Zhu Sun, Yingpeng Du, Jie Zhang, Yew Soon Ong
Self-Supervised Denoising through Independent Cascade Graph Augmentation for Robust Social Recommendation. KDD (2024)
Jiao Liu, Yew Soon Ong, Melvin Wong
Finding Sets of Pareto Sets in Real-World Scenarios - A Multitask Multiobjective Perspective. CEC (2024)
Qing Lin, Jingfeng Zhang, Yew Soon Ong, Mengmi Zhang
Make Me Happier: Evoking Emotions Through Image Diffusion Models. CoRR (2024)
Shanshan Feng, Feiyu Meng, Lisi Chen, Shuo Shang, Yew Soon Ong
ROTAN: A Rotation-based Temporal Attention Network for Time-Specific Next POI Recommendation. KDD (2024)
Xinyu Zhang, Shanshan Feng, Jianghong Ma, Huiwei Lin, Xutao Li, Yunming Ye, Fan Li, Yew Soon Ong
FRNet: Frequency-based Rotation Network for Long-term Time Series Forecasting. KDD (2024)
Melvin Wong, Thiago Rios, Stefan Menzel, Yew Soon Ong
Generative AI-based Prompt Evolution Engineering Design Optimization With Vision-Language Model. CoRR (2024)
Melvin Wong, Jiao Liu, Thiago Rios, Stefan Menzel, Yew Soon Ong
LLM2FEA: Discover Novel Designs with Generative Evolutionary Multitasking. CoRR (2024)
Shanli Tan, Hao Cheng, Xiaohu Wu, Han Yu, Tiantian He, Yew Soon Ong, Chongjun Wang, Xiaofeng Tao
FedCompetitors: Harmonious Collaboration in Federated Learning with Competing Participants. AAAI (2024)
Zhu Sun, Hongyang Liu, Xinghua Qu, Kaidong Feng, Yan Wang, Yew Soon Ong
Large Language Models for Intent-Driven Session Recommendations. SIGIR (2024)
Weiming Liu, Chaochao Chen, Xinting Liao, Mengling Hu, Yanchao Tan, Fan Wang, Xiaolin Zheng, Yew Soon Ong
Learning Accurate and Bidirectional Transformation via Dynamic Embedding Transportation for Cross-Domain Recommendation. AAAI (2024)
Kim Yong Tan, Yueming Lyu, Yew Soon Ong, Ivor W. Tsang
Unfolded Self-Reconstruction LSH: Towards Machine Unlearning in Approximate Nearest Neighbour Search. CoRR (2023)
Xinghua Qu, Hongyang Liu, Zhu Sun, Xiang Yin, Yew Soon Ong, Lu Lu, Zejun Ma
Towards Building Voice-based Conversational Recommender Systems: Datasets, Potential Solutions, and Prospects. CoRR (2023)
Youchen Sun, Zhu Sun, Xiao Sha, Jie Zhang, Yew Soon Ong
Disentangling Motives behind Item Consumption and Social Connection for Mutually-enhanced Joint Prediction. RecSys (2023)
Pengfei Wei, Thanh Vinh Vo, Xinghua Qu, Yew Soon Ong, Zejun Ma
Transfer Kernel Learning for Multi-Source Transfer Gaussian Process Regression. IEEE Trans. Pattern Anal. Mach. Intell. 45 (3) (2023)
Jiahao Xie, Wei Li, Xiangtai Li, Ziwei Liu, Yew Soon Ong, Chen Change Loy
MosaicFusion: Diffusion Models as Data Augmenters for Large Vocabulary Instance Segmentation. CoRR (2023)
Xinghua Qu, Hongyang Liu, Zhu Sun, Xiang Yin, Yew Soon Ong, Lu Lu, Zejun Ma
Towards Building Voice-based Conversational Recommender Systems: Datasets, Potential Solutions and Prospects. SIGIR (2023)
Yongduan Song, Jon Garibaldi, Carlos A. Coello Coello, Georgios N. Yannakakis, Huajin Tang, Yew Soon Ong, Hussein A. Abbass
CIS Publication Spotlight [Publication Spotlight]. IEEE Comput. Intell. Mag. 17 (3) (2022)
Jiahao Xie, Wei Li, Xiaohang Zhan, Ziwei Liu, Yew Soon Ong, Chen Change Loy
Masked Frequency Modeling for Self-Supervised Visual Pre-Training. CoRR (2022)
Xinghua Qu, Yew Soon Ong, Abhishek Gupta, Pengfei Wei, Zhu Sun, Zejun Ma
Importance Prioritized Policy Distillation. KDD (2022)
Nguyen Hong Ngoc, Alvin Chan, Huynh Thi Thanh Binh, Yew Soon Ong
Anti-Forensic Deepfake Personas and How To Spot Them. IJCNN (2022)
Alvin Chan, Yew Soon Ong, Clement Tan
How Does Frequency Bias Affect the Robustness of Neural Image Classifiers against Common Corruption and Adversarial Perturbations? IJCAI (2022)
Yi Sheng Chong, Wang Ling Goh, Yew Soon Ong, Vishnu P. Nambiar, Anh Tuan Do
Recovering Accuracy of RRAM-based CIM for Binarized Neural Network via Chip-in-the-loop Training. ISCAS (2022)
Yi Sheng Chong, Wang Ling Goh, Yew Soon Ong, Vishnu P. Nambiar, Anh Tuan Do
128nW MFCC Engine for Ultra-low Power, Always-on Smart Sensing Applications. ISCAS (2022)
Yongduan Song, Jon Garibaldi, Carlos A. Coello Coello, Georgios N. Yannakakis, Yew Soon Ong
CIS Publication Spotlight. IEEE Comput. Intell. Mag. 17 (4) (2022)
Yongduan Song, Jon Garibaldi, Carlos A. Coello Coello, Georgios N. Yannakakis, Huajin Tang, Yew Soon Ong, Hussein A. Abbass
CIS Publication Spotlight [Publication Spotlight]. IEEE Comput. Intell. Mag. 17 (2) (2022)
Xinghua Qu, Pengfei Wei, Mingyong Gao, Zhu Sun, Yew Soon Ong, Zejun Ma
Synthesising Audio Adversarial Examples for Automatic Speech Recognition. KDD (2022)
Yongduan Song, Jon Garibaldi, Carlos A. Coello Coello, Georgios N. Yannakakis, Huajin Tang, Yew Soon Ong, Hussein A. Abbass
CIS Publication Spotlight [Publication Spotlight]. IEEE Comput. Intell. Mag. 17 (1) (2022)
Qiancheng Fu, Qingshan Xu, Yew Soon Ong, Wenbing Tao
Geo-Neus: Geometry-Consistent Neural Implicit Surfaces Learning for Multi-view Reconstruction. NeurIPS (2022)
Lu Zhang, Zhu Sun, Ziqing Wu, Jie Zhang, Yew Soon Ong, Xinghua Qu
Next Point-of-Interest Recommendation with Inferring Multi-step Future Preferences. IJCAI (2022)
Zhu Sun, Jie Yang, Kaidong Feng, Hui Fang, Xinghua Qu, Yew Soon Ong
Revisiting Bundle Recommendation: Datasets, Tasks, Challenges and Opportunities for Intent-aware Product Bundling. SIGIR (2022)
Yi Sheng Chong, Wang Ling Goh, Yew Soon Ong, Vishnu P. Nambiar, Anh Tuan Do
Efficient Implementation of Activation Functions for LSTM accelerators. VLSI-SoC (2021)
Tiantian He, Yew Soon Ong, Lu Bai
Learning Conjoint Attentions for Graph Neural Nets. NeurIPS (2021)
Jiahao Xie, Xiaohang Zhan, Ziwei Liu, Yew Soon Ong, Chen Change Loy
Unsupervised Object-Level Representation Learning from Scene Images. NeurIPS (2021)
Yi Sheng Chong, Wang Ling Goh, Yew Soon Ong, Vishnu P. Nambiar, Anh Tuan Do
An Energy-Efficient Convolution Unit for Depthwise Separable Convolutional Neural Networks. ISCAS (2021)