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Yew-Soon Ong
Yew Soon Ong
Person information
- affiliation: Nanyang Technological University, Singapore
- affiliation (PhD 2003): University of Southampton, UK
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2020 – today
- 2025
- [j237]Jiao Liu
, Abhishek Gupta
, Chinchun Ooi
, Yew-Soon Ong
:
ExTrEMO: Transfer Evolutionary Multiobjective Optimization With Proof of Faster Convergence. IEEE Trans. Evol. Comput. 29(1): 102-116 (2025) - [j236]Xupeng Wen, Guohua Wu, Jiao Liu, Yew-Soon Ong:
Transfer Optimization for Heterogeneous Drone Delivery and Pickup Problem. IEEE Trans. Emerg. Top. Comput. Intell. 9(1): 347-364 (2025) - 2024
- [j235]Tiantian He
, Yang Liu
, Yew-Soon Ong
, Xiaohu Wu
, Xin Luo
:
Polarized message-passing in graph neural networks. Artif. Intell. 331: 104129 (2024) - [j234]Ge Jin
, Jian Cheng Wong
, Abhishek Gupta
, Shipeng Li, Yew-Soon Ong:
Fourier warm start for physics-informed neural networks. Eng. Appl. Artif. Intell. 132: 107887 (2024) - [j233]Ke Pan
, Yew-Soon Ong, Maoguo Gong
, Hui Li, A. Kai Qin, Yuan Gao:
Differential privacy in deep learning: A literature survey. Neurocomputing 589: 127663 (2024) - [j232]Bohao Qu
, Xiaofeng Cao
, Yi Chang
, Ivor W. Tsang
, Yew-Soon Ong
:
Diversifying Policies With Non-Markov Dispersion to Expand the Solution Space. IEEE Trans. Pattern Anal. Mach. Intell. 46(12): 11392-11408 (2024) - [j231]Jian Cheng Wong
, Chin Chun Ooi
, Abhishek Gupta
, Yew-Soon Ong
:
Learning in Sinusoidal Spaces With Physics-Informed Neural Networks. IEEE Trans. Artif. Intell. 5(3): 985-1000 (2024) - [j230]Zefeng Chen
, Abhishek Gupta
, Lei Zhou
, Yew-Soon Ong
:
Scaling Multiobjective Evolution to Large Data With Minions: A Bayes-Informed Multitask Approach. IEEE Trans. Cybern. 54(2): 1294-1307 (2024) - [j229]Xuanfeng Li
, Shengcai Liu
, Jin Wang
, Xiao Chen, Yew-Soon Ong
, Ke Tang
:
Chance-Constrained Multiple-Choice Knapsack Problem: Model, Algorithms, and Applications. IEEE Trans. Cybern. 54(12): 7969-7980 (2024) - [j228]Yaqing Hou
, Mingyang Sun, Yifeng Zeng
, Yew-Soon Ong
, Yaochu Jin
, Hongwei Ge
, Qiang Zhang
:
A Multiagent Cooperative Learning System With Evolution of Social Roles. IEEE Trans. Evol. Comput. 28(2): 531-543 (2024) - [j227]Jiao Liu
, Abhishek Gupta
, Yew-Soon Ong
:
Bayesian Inverse Transfer in Evolutionary Multiobjective Optimization. ACM Trans. Evol. Learn. Optim. 4(4): 24:1-24:27 (2024) - [j226]Joey Tianyi Zhou, Ivor W. Tsang, Yew Soon Ong
:
Guest Editorial Special Issue on Resource Sustainable Computational and Artificial Intelligence. IEEE Trans. Emerg. Top. Comput. Intell. 8(5): 3196-3198 (2024) - [j225]Sheng Zhang
, Yingying Fang, Yang Nan
, Shiyi Wang, Weiping Ding
, Yew-Soon Ong
, Alejandro F. Frangi, Witold Pedrycz
, Simon Walsh, Guang Yang
:
Fuzzy Attention-Based Border Rendering Orthogonal Network for Lung Organ Segmentation. IEEE Trans. Fuzzy Syst. 32(10): 5462-5476 (2024) - [j224]Linbo Luo
, Shangwei Xie
, Haiyan Yin
, Chunlei Peng
, Yew-Soon Ong
:
Detecting and Quantifying Crowd-Level Abnormal Behaviors in Crowd Events. IEEE Trans. Inf. Forensics Secur. 19: 6810-6823 (2024) - [j223]Ning Lu, Shengcai Liu, Rui He, Yew-Soon Ong, Qi Wang, Ke Tang:
Large Language Models can be Guided to Evade AI-generated Text Detection. Trans. Mach. Learn. Res. 2024 (2024) - [j222]Heng Zhao
, Joey Tianyi Zhou
, Yew-Soon Ong
:
Word2Pix: Word to Pixel Cross-Attention Transformer in Visual Grounding. IEEE Trans. Neural Networks Learn. Syst. 35(2): 1523-1533 (2024) - [j221]Xiao Sha
, Zhu Sun
, Jie Zhang, Yew-Soon Ong
:
Who Wants to Shop With You: Joint Product-Participant Recommendation for Group-Buying Service. IEEE Trans. Neural Networks Learn. Syst. 35(2): 2353-2363 (2024) - [j220]Yuan Gao
, Maoguo Gong
, Yew-Soon Ong
, A. Kai Qin
, Yue Wu
, Fei Xie
:
A Collaborative Multimodal Learning-Based Framework for COVID-19 Diagnosis. IEEE Trans. Neural Networks Learn. Syst. 35(11): 15883-15895 (2024) - [j219]Zhu Sun
, Yu Lei
, Lu Zhang
, Chen Li
, Yew-Soon Ong
, Jie Zhang
:
A Multi-channel Next POI Recommendation Framework with Multi-granularity Check-in Signals. ACM Trans. Inf. Syst. 42(1): 15:1-15:28 (2024) - [j218]Qing Yin
, Hui Fang
, Zhu Sun
, Yew-Soon Ong
:
Understanding Diversity in Session-based Recommendation. ACM Trans. Inf. Syst. 42(1): 24:1-24:34 (2024) - [j217]Zhu Sun
, Kaidong Feng
, Jie Yang
, Hui Fang
, Xinghua Qu
, Yew-Soon Ong
, Wenyuan Liu
:
Revisiting Bundle Recommendation for Intent-aware Product Bundling. Trans. Recomm. Syst. 2(3): 24:1-24:34 (2024) - [c180]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: 8815-8823 - [c179]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: 12538-12546 - [c178]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: 15231-15239 - [c177]Shengcai Liu, Caishun Chen, Xinghua Qu, Ke Tang, Yew-Soon Ong:
Large Language Models as Evolutionary Optimizers. CEC 2024: 1-8 - [c176]Jiao Liu, Yew Soon Ong, Melvin Wong:
Finding Sets of Pareto Sets in Real-World Scenarios - A Multitask Multiobjective Perspective. CEC 2024: 1-8 - [c175]Melvin Wong, Thiago Rios, Stefan Menzel, Yew Soon Ong:
Prompt Evolutionary Design Optimization with Generative Shape and Vision-Language models. CEC 2024: 1-8 - [c174]Junhao Dong, Piotr Koniusz, Junxi Chen, Z. Jane Wang, Yew-Soon Ong:
Robust Distillation via Untargeted and Targeted Intermediate Adversarial Samples. CVPR 2024: 28432-28442 - [c173]Junhao Dong, Piotr Koniusz, Junxi Chen, Xiaohua Xie, Yew-Soon Ong:
Adversarially Robust Few-shot Learning via Parameter Co-distillation of Similarity and Class Concept Learners. CVPR 2024: 28535-28544 - [c172]Junhao Dong
, Piotr Koniusz
, Junxi Chen
, Yew-Soon Ong
:
Adversarially Robust Distillation by Reducing the Student-Teacher Variance Gap. ECCV (4) 2024: 92-111 - [c171]Qingshan Xu
, Xuanyu Yi, Jianyao Xu, Wenbing Tao
, Yew-Soon Ong
, Hanwang Zhang
:
Few-Shot NeRF by Adaptive Rendering Loss Regularization. ECCV (66) 2024: 125-142 - [c170]Heng Zhao, Yinjie Zhao, Bihan Wen, Yew-Soon Ong, Joey Zhou:
Video-Text Prompting for Weakly Supervised Spatio-Temporal Video Grounding. EMNLP 2024: 19494-19505 - [c169]Weiming Liu, Xiaolin Zheng, Chaochao Chen, Jiahe Xu, Xinting Liao, Fan Wang, Yanchao Tan, Yew-Soon Ong:
Reducing Item Discrepancy via Differentially Private Robust Embedding Alignment for Privacy-Preserving Cross Domain Recommendation. ICML 2024 - [c168]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: 759-770 - [c167]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: 2806-2817 - [c166]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: 3586-3597 - [c165]Hua Yu
, Weiming Liu
, Jiapeng Bai
, Xu Gui
, Yaqing Hou
, Yew-Soon Ong
, Qiang Zhang
:
Towards Efficient and Diverse Generative Model for Unconditional Human Motion Synthesis. ACM Multimedia 2024: 2535-2544 - [c164]Mengmeng Chen, Xiaohu Wu, Xiaoli Tang, Tiantian He, Yew Soon Ong, Qiqi Liu, Qicheng Lao, Han Yu:
Free-Rider and Conflict Aware Collaboration Formation for Cross-Silo Federated Learning. NeurIPS 2024 - [c163]Xuanqian Wang, Jing Li, Ivor W. Tsang, Yew Soon Ong:
Towards Harmless Rawlsian Fairness Regardless of Demographic Prior. NeurIPS 2024 - [c162]Haicang Zhou, Weiming Huang, Yile Chen, Tiantian He, Gao Cong, Yew Soon Ong:
Road Network Representation Learning with the Third Law of Geography. NeurIPS 2024 - [c161]Jiashu Han, Shanshan Feng, Min Zhou, Xinyu Zhang, Yew Soon Ong, Xutao Li:
Diffusion Model in Normal Gathering Latent Space for Time Series Anomaly Detection. ECML/PKDD (3) 2024: 284-300 - [c160]Tingyang Wei
, Jiao Liu
, Abhishek Gupta
, Puay Siew Tan, Yew-Soon Ong
:
Bayesian Forward-Inverse Transfer for Multiobjective Optimization. PPSN (4) 2024: 135-152 - [c159]Haoyan Chua
, Yingpeng Du
, Zhu Sun
, Ziyan Wang
, Jie Zhang
, Yew-Soon Ong
:
Unified Denoising Training for Recommendation. RecSys 2024: 612-621 - [c158]Zhu Sun
, Hongyang Liu
, Xinghua Qu
, Kaidong Feng
, Yan Wang
, Yew Soon Ong
:
Large Language Models for Intent-Driven Session Recommendations. SIGIR 2024: 324-334 - [c157]Zhu Sun
, Kaidong Feng
, Jie Yang
, Xinghua Qu
, Hui Fang
, Yew-Soon Ong
, Wenyuan Liu
:
Adaptive In-Context Learning with Large Language Models for Bundle Generation. SIGIR 2024: 966-976 - [i111]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 abs/2403.07331 (2024) - [i110]Qing Lin, Jingfeng Zhang, Yew Soon Ong, Mengmi Zhang:
Make Me Happier: Evoking Emotions Through Image Diffusion Models. CoRR abs/2403.08255 (2024) - [i109]Qingshan Xu, Jiao Liu, Melvin Wong, Caishun Chen, Yew-Soon Ong:
Precise-Physics Driven Text-to-3D Generation. CoRR abs/2403.12438 (2024) - [i108]Lu Bai, Abhishek Gupta, Yew-Soon Ong:
Multi-Task Learning with Multi-Task Optimization. CoRR abs/2403.16162 (2024) - [i107]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 abs/2403.16645 (2024) - [i106]Qing Yin, Hui Fang, Zhu Sun, Yew-Soon Ong:
A Simple Yet Effective Approach for Diversified Session-Based Recommendation. CoRR abs/2404.00261 (2024) - [i105]Shanshan Feng, Haoming Lyu, Caishun Chen, Yew-Soon Ong:
Where to Move Next: Zero-shot Generalization of LLMs for Next POI Recommendation. CoRR abs/2404.01855 (2024) - [i104]Yaqing Hou, Wenqiang Ma, Abhishek Gupta, Kavitesh Kumar Bali, Hongwei Ge, Qiang Zhang, Carlos A. Coello Coello, Yew-Soon Ong:
Bridging the Gap Between Theory and Practice: Benchmarking Transfer Evolutionary Optimization. CoRR abs/2404.13377 (2024) - [i103]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 abs/2405.13048 (2024) - [i102]Shengcai Liu, Zhiyuan Wang, Yew-Soon Ong, Xin Yao, Ke Tang:
Learning Mixture-of-Experts for General-Purpose Black-Box Discrete Optimization. CoRR abs/2405.18884 (2024) - [i101]Lanting Fang, Yulian Yang, Kai Wang, Shanshan Feng, Kaiyu Feng, Jie Gui, Shuliang Wang, Yew-Soon Ong:
SIG: Efficient Self-Interpretable Graph Neural Network for Continuous-time Dynamic Graphs. CoRR abs/2405.19062 (2024) - [i100]Yueming Lyu, Kim Yong Tan, Yew Soon Ong, Ivor W. Tsang:
Covariance-Adaptive Sequential Black-box Optimization for Diffusion Targeted Generation. CoRR abs/2406.00812 (2024) - [i99]Haicang Zhou, Weiming Huang, Yile Chen, Tiantian He, Gao Cong, Yew-Soon Ong:
Road Network Representation Learning with the Third Law of Geography. CoRR abs/2406.04038 (2024) - [i98]Melvin Wong, Thiago Rios, Stefan Menzel, Yew Soon Ong:
Generative AI-based Prompt Evolution Engineering Design Optimization With Vision-Language Model. CoRR abs/2406.09143 (2024) - [i97]Melvin Wong, Jiao Liu, Thiago Rios, Stefan Menzel, Yew Soon Ong:
LLM2FEA: Discover Novel Designs with Generative Evolutionary Multitasking. CoRR abs/2406.14917 (2024) - [i96]Ben Cao, Tiantian He, Xue Li, Bin Wang, Xiaohu Wu, Qiang Zhang, Yew-Soon Ong:
Learning Structurally Stabilized Representations for Multi-modal Lossless DNA Storage. CoRR abs/2408.00779 (2024) - [i95]Zhilong Li, Xiaohu Wu, Xiaoli Tang, Tiantian He, Yew-Soon Ong, Mengmeng Chen, Qiqi Liu, Qicheng Lao, Han Yu:
Benchmarking Data Heterogeneity Evaluation Approaches for Personalized Federated Learning. CoRR abs/2410.07286 (2024) - [i94]Jiawen Zhu, Yew-Soon Ong, Chunhua Shen, Guansong Pang:
Fine-grained Abnormality Prompt Learning for Zero-shot Anomaly Detection. CoRR abs/2410.10289 (2024) - [i93]Qingshan Xu, Xuanyu Yi, Jianyao Xu, Wenbing Tao, Yew-Soon Ong, Hanwang Zhang:
Few-shot NeRF by Adaptive Rendering Loss Regularization. CoRR abs/2410.17839 (2024) - [i92]Xin He, Shunkang Zhang, Yuxin Wang, Haiyan Yin, Zihao Zeng, Shaohuai Shi, Zhenheng Tang, Xiaowen Chu, Ivor W. Tsang, Yew-Soon Ong:
ExpertFlow: Optimized Expert Activation and Token Allocation for Efficient Mixture-of-Experts Inference. CoRR abs/2410.17954 (2024) - [i91]Mengmeng Chen, Xiaohu Wu, Xiaoli Tang, Tiantian He, Yew-Soon Ong, Qiqi Liu, Qicheng Lao, Han Yu:
Free-Rider and Conflict Aware Collaboration Formation for Cross-Silo Federated Learning. CoRR abs/2410.19321 (2024) - [i90]Zubin Zheng, Shengcai Liu, Yew-Soon Ong:
Hybrid Memetic Search for Electric Vehicle Routing with Time Windows, Simultaneous Pickup-Delivery, and Partial Recharges. CoRR abs/2410.19580 (2024) - [i89]Xuanqian Wang, Jing Li, Ivor W. Tsang, Yew-Soon Ong:
Towards Harmless Rawlsian Fairness Regardless of Demographic Prior. CoRR abs/2411.02467 (2024) - [i88]Junhao Dong, Xinghua Qu, Z. Jane Wang, Yew-Soon Ong:
Enhancing Adversarial Robustness via Uncertainty-Aware Distributional Adversarial Training. CoRR abs/2411.02871 (2024) - [i87]Zhangfan Yang, Junkai Ji, Shan He, Jianqiang Li, Tiantian He, Ruibin Bai, Zexuan Zhu, Yew Soon Ong:
Dockformer: A transformer-based molecular docking paradigm for large-scale virtual screening. CoRR abs/2411.06740 (2024) - [i86]Jiao Liu, Zhu Sun, Shanshan Feng, Yew-Soon Ong:
Language Model Evolutionary Algorithms for Recommender Systems: Benchmarks and Algorithm Comparisons. CoRR abs/2411.10697 (2024) - [i85]Baoquan Zhang, Shanshan Feng, Bingqi Shan, Xutao Li, Yunming Ye, Yew-Soon Ong:
Prototype Optimization with Neural ODE for Few-Shot Learning. CoRR abs/2411.12259 (2024) - [i84]Tianlong Zhong, Gaoxia Zhu, Kang You Lim, Yew Soon Ong:
Generative AI as a Tool or Leader? Exploring AI-Augmented Thinking in Student Programming Tasks. CoRR abs/2411.19490 (2024) - [i83]Yinjie Zhao, Heng Zhao, Bihan Wen, Yew-Soon Ong, Joey Tianyi Zhou:
Video Set Distillation: Information Diversification and Temporal Densification. CoRR abs/2412.00111 (2024) - [i82]Qingshan Xu, Jiequan Cui, Xuanyu Yi, Yuxuan Wang, Yuan Zhou, Yew-Soon Ong, Hanwang Zhang:
Pushing Rendering Boundaries: Hard Gaussian Splatting. CoRR abs/2412.04826 (2024) - [i81]Ziqing Wu, Zhu Sun, Dongxia Wang, Lu Zhang, Jie Zhang, Yew Soon Ong:
MRP-LLM: Multitask Reflective Large Language Models for Privacy-Preserving Next POI Recommendation. CoRR abs/2412.07796 (2024) - [i80]David M. Bossens, Shanshan Feng, Yew-Soon Ong:
The Digital Ecosystem of Beliefs: does evolution favour AI over humans? CoRR abs/2412.14500 (2024) - [i79]Flint Xiaofeng Fan, Cheston Tan, Yew-Soon Ong, Roger Wattenhofer, Wei Tsang Ooi:
FedRLHF: A Convergence-Guaranteed Federated Framework for Privacy-Preserving and Personalized RLHF. CoRR abs/2412.15538 (2024) - 2023
- [j216]Zhenghua Chen
, Min Wu
, Alvin Chan
, Xiaoli Li
, Yew-Soon Ong
:
Survey on AI Sustainability: Emerging Trends on Learning Algorithms and Research Challenges [Review Article]. IEEE Comput. Intell. Mag. 18(2): 60-77 (2023) - [j215]Han Xiang Choong
, Yew-Soon Ong
, Abhishek Gupta
, Caishun Chen
, Ray Lim
:
Jack and Masters of all Trades: One-Pass Learning Sets of Model Sets From Large Pre-Trained Models. IEEE Comput. Intell. Mag. 18(3): 29-40 (2023) - [j214]Yuan Gao
, Yew-Soon Ong
, Maoguo Gong
, Fenlong Jiang
, Yuanqiao Zhang
, Shanfeng Wang:
Breaking Hardware Boundaries of IoT Devices via Inverse Feature Completion. IEEE Internet Things J. 10(6, March 15): 5519-5529 (2023) - [j213]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): 3862-3876 (2023) - [j212]Pengfei Wei
, Yiping Ke
, Yew-Soon Ong
, Zejun Ma:
Adaptive Transfer Kernel Learning for Transfer Gaussian Process Regression. IEEE Trans. Pattern Anal. Mach. Intell. 45(6): 7142-7156 (2023) - [j211]Zhu Sun
, Hui Fang
, Jie Yang
, Xinghua Qu, Hongyang Liu
, Di Yu, Yew-Soon Ong
, Jie Zhang:
DaisyRec 2.0: Benchmarking Recommendation for Rigorous Evaluation. IEEE Trans. Pattern Anal. Mach. Intell. 45(7): 8206-8226 (2023) - [j210]Maoguo Gong
, Yuan Gao
, Yue Wu
, Yuanqiao Zhang
, Alex Kai Qin
, Yew-Soon Ong
:
Heterogeneous Multi-Party Learning With Data-Driven Network Sampling. IEEE Trans. Pattern Anal. Mach. Intell. 45(11): 13328-13343 (2023) - [j209]Xiaobo Shen, Yew-Soon Ong, Zheng Mao, Shirui Pan, Weiwei Liu, Yuhui Zheng:
Compact network embedding for fast node classification. Pattern Recognit. 136: 109236 (2023) - [j208]Liang Feng
, Qingxia Shang, Yaqing Hou
, Kay Chen Tan
, Yew-Soon Ong
:
Multispace Evolutionary Search for Large-Scale Optimization With Applications to Recommender Systems. IEEE Trans. Artif. Intell. 4(1): 107-120 (2023) - [j207]Nick Zhang
, Abhishek Gupta
, Zefeng Chen
, Yew-Soon Ong
:
Multitask Neuroevolution for Reinforcement Learning With Long and Short Episodes. IEEE Trans. Cogn. Dev. Syst. 15(3): 1474-1486 (2023) - [j206]Zhenkun Wang
, Qingfu Zhang, Yew-Soon Ong
, Shunyu Yao, Haitao Liu
, Jianping Luo
:
Choose Appropriate Subproblems for Collaborative Modeling in Expensive Multiobjective Optimization. IEEE Trans. Cybern. 53(1): 483-496 (2023) - [j205]Linbo Luo
, Xinyu Wang
, Jianfeng Ma
, Yew-Soon Ong
:
GrpAvoid: Multigroup Collision-Avoidance Control and Optimization for UAV Swarm. IEEE Trans. Cybern. 53(3): 1776-1789 (2023) - [j204]Yuan Gao
, Maoguo Gong
, Yu Xie
, A. Kai Qin
, Ke Pan, Yew-Soon Ong
:
Multiparty Dual Learning. IEEE Trans. Cybern. 53(5): 2955-2968 (2023) - [j203]Zhendong Guo
, Haitao Liu
, Yew-Soon Ong
, Xinghua Qu
, Yuzhe Zhang, Jianmin Zheng
:
Generative Multiform Bayesian Optimization. IEEE Trans. Cybern. 53(7): 4347-4360 (2023) - [j202]Mojtaba Shakeri
, Erfan Miahi
, Abhishek Gupta
, Yew-Soon Ong
:
Scalable Transfer Evolutionary Optimization: Coping With Big Task Instances. IEEE Trans. Cybern. 53(10): 6160-6172 (2023) - [j201]Yu Xie
, Yanfeng Liang, Maoguo Gong
, A. Kai Qin
, Yew-Soon Ong
, Tiantian He
:
Semisupervised Graph Neural Networks for Graph Classification. IEEE Trans. Cybern. 53(10): 6222-6235 (2023) - [j200]Hanqing Tao
, Guanqi Zhu, Enhong Chen
, Shiwei Tong
, Kun Zhang
, Tong Xu
, Qi Liu
, Yew-Soon Ong
:
Learning From Ideography and Labels: A Schema-Aware Radical-Guided Associative Model for Chinese Text Classification. IEEE Trans. Knowl. Data Eng. 35(6): 6043-6057 (2023) - [j199]Xinghua Qu
, Abhishek Gupta
, Yew-Soon Ong
, Zhu Sun
:
Adversary Agnostic Robust Deep Reinforcement Learning. IEEE Trans. Neural Networks Learn. Syst. 34(9): 6146-6157 (2023) - [j198]Junwei Dong, Boyu Hou
, Liang Feng
, Huajin Tang, Kay Chen Tan
, Yew-Soon Ong
:
A Cell-Based Fast Memetic Algorithm for Automated Convolutional Neural Architecture Design. IEEE Trans. Neural Networks Learn. Syst. 34(11): 9040-9053 (2023) - [j197]Haitao Liu
, Kai Wu
, Yew-Soon Ong
, Chao Bian, Xiaomo Jiang
, Xiaofang Wang:
Learning Multitask Gaussian Process Over Heterogeneous Input Domains. IEEE Trans. Syst. Man Cybern. Syst. 53(10): 6232-6244 (2023) - [c156]Nicholas Sung
, Jian Cheng Wong
, Chin Chun Ooi
, Abhishek Gupta
, Pao-Hsiung Chiu
, Yew-Soon Ong
:
Neuroevolution of Physics-Informed Neural Nets: Benchmark Problems and Comparative Results. GECCO Companion 2023: 2144-2151 - [c155]Huizi Wu, Hui Fang, Zhu Sun, Cong Geng, Xinyu Kong, Yew-Soon Ong:
A Generic Reinforced Explainable Framework with Knowledge Graph for Session-based Recommendation. ICDE 2023: 1260-1272 - [c154]Jiahao Xie, Wei Li, Xiaohang Zhan, Ziwei Liu, Yew-Soon Ong, Chen Change Loy:
Masked Frequency Modeling for Self-Supervised Visual Pre-Training. ICLR 2023 - [c153]Jian Cheng Wong, Pao-Hsiung Chiu
, Chinchun Ooi
, My Ha Dao, Yew-Soon Ong:
LSA-PINN: Linear Boundary Connectivity Loss for Solving PDEs on Complex Geometry. IJCNN 2023: 1-10 - [c152]Jinze Wang
, Lu Zhang, Zhu Sun, Yew-Soon Ong:
Meta-learning Enhanced Next POI Recommendation by Leveraging Check-ins from Auxiliary Cities. PAKDD (3) 2023: 322-334 - [c151]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: 613-624 - [c150]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: 2701-2711 - [i78]Jian Cheng Wong, Pao-Hsiung Chiu, Chinchun Ooi, My Ha Dao, Yew-Soon Ong:
LSA-PINN: Linear Boundary Connectivity Loss for Solving PDEs on Complex Geometry. CoRR abs/2302.01518 (2023) - [i77]Kim Yong Tan, Yueming Lyu, Yew Soon Ong, Ivor W. Tsang
:
Unfolded Self-Reconstruction LSH: Towards Machine Unlearning in Approximate Nearest Neighbour Search. CoRR abs/2304.02350 (2023) - [i76]Longbing Cao, Hui Chen, Xuhui Fan, João Gama, Yew-Soon Ong, Vipin Kumar:
Bayesian Federated Learning: A Survey. CoRR abs/2304.13267 (2023) - [i75]Melvin Wong, Yew-Soon Ong, Abhishek Gupta, Kavitesh Kumar Bali, Caishun Chen:
Prompt Evolution for Generative AI: A Classifier-Guided Approach. CoRR abs/2305.16347 (2023) - [i74]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 abs/2306.08219 (2023) - [i73]