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ORCIDYew-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
- 2024
[j233]Tiantian He
, Yang Liu, Yew-Soon Ong, Xiaohu Wu, Xin Luo:
Polarized message-passing in graph neural networks. Artif. Intell. 331: 104129 (2024)- [j232]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) - [j231]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) - [j230]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) - [j229]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) - [j228]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) - [j227]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) - [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) - [c176]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 - [c175]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 - [c174]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 - [c173]Shengcai Liu, Caishun Chen, Xinghua Qu, Ke Tang, Yew-Soon Ong:
Large Language Models as Evolutionary Optimizers. CEC 2024: 1-8 - [c172]Jiao Liu, Yew Soon Ong, Melvin Wong:
Finding Sets of Pareto Sets in Real-World Scenarios - A Multitask Multiobjective Perspective. CEC 2024: 1-8 - [c171]Melvin Wong, Thiago Rios, Stefan Menzel, Yew Soon Ong:
Prompt Evolutionary Design Optimization with Generative Shape and Vision-Language models. CEC 2024: 1-8 - [c170]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 - [c169]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 - [c168]Junhao Dong, Piotr Koniusz, Junxi Chen, Yew-Soon Ong:
Adversarially Robust Distillation by Reducing the Student-Teacher Variance Gap. ECCV (4) 2024: 92-111 - [c167]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 - [c166]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 - [c165]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 - [c164]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 - [c163]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 - [c162]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 - [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 - [i100]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) - [i99]Qing Lin, Jingfeng Zhang, Yew Soon Ong, Mengmi Zhang:
Make Me Happier: Evoking Emotions Through Image Diffusion Models. CoRR abs/2403.08255 (2024) - [i98]Qingshan Xu, Jiao Liu, Melvin Wong, Caishun Chen, Yew-Soon Ong:
Precise-Physics Driven Text-to-3D Generation. CoRR abs/2403.12438 (2024) - [i97]Lu Bai, Abhishek Gupta, Yew-Soon Ong:
Multi-Task Learning with Multi-Task Optimization. CoRR abs/2403.16162 (2024) - [i96]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) - [i95]Qing Yin, Hui Fang, Zhu Sun, Yew-Soon Ong:
A Simple Yet Effective Approach for Diversified Session-Based Recommendation. CoRR abs/2404.00261 (2024) - [i94]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) - [i93]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) - [i92]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) - [i91]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) - [i90]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) - [i89]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) - [i88]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) - [i87]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) - [i86]Melvin Wong, Jiao Liu, Thiago Rios, Stefan Menzel, Yew Soon Ong:
LLM2FEA: Discover Novel Designs with Generative Evolutionary Multitasking. CoRR abs/2406.14917 (2024) - [i85]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) - [i84]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) - [i83]Jiawen Zhu, Yew-Soon Ong, Chunhua Shen, Guansong Pang:
Fine-grained Abnormality Prompt Learning for Zero-shot Anomaly Detection. CoRR abs/2410.10289 (2024) - [i82]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) - [i81]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) - [i80]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) - [i79]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) - 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]Xuanfeng Li, Shengcai Liu, Jin Wang, Xiao Chen, Yew-Soon Ong, Ke Tang:
Data-Driven Chance-Constrained Multiple-Choice Knapsack Problem: Model, Algorithms, and Applications. CoRR abs/2306.14690 (2023) - [i72]Jinze Wang, Lu Zhang, Zhu Sun, Yew-Soon Ong:
Meta-learning enhanced next POI recommendation by leveraging check-ins from auxiliary cities. CoRR abs/2308.09309 (2023) - [i71]Wenjie Chen, Shengcai Liu, Yew-Soon Ong, Ke Tang:
Neural Influence Estimator: Towards Real-time Solutions to Influence Blocking Maximization. CoRR abs/2308.14012 (2023) - [i70]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 abs/2309.13042 (2023) - [i69]Huiwei Lin, Shanshan Feng, Baoquan Zhang, Xutao Li, Yew-Soon Ong, Yunming Ye:
HPCR: Holistic Proxy-based Contrastive Replay for Online Continual Learning. CoRR abs/2309.15038 (2023) - [i68]Shengcai Liu, Caishun Chen, Xinghua Qu, Ke Tang, Yew-Soon Ong:
Large Language Models as Evolutionary Optimizers. CoRR abs/2310.19046 (2023) - [i67]Jian Cheng Wong, Chin Chun Ooi, Abhishek Gupta, Pao-Hsiung Chiu, Joshua Shao Zheng Low, My Ha Dao, Yew-Soon Ong:
Generalizable Neural Physics Solvers by Baldwinian Evolution. CoRR abs/2312.03243 (2023) - [i66]Zhu Sun, Hongyang Liu, Xinghua Qu, Kaidong Feng, Yan Wang, Yew-Soon Ong:
Large Language Models for Intent-Driven Session Recommendations. CoRR abs/2312.07552 (2023) - [i65]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. CoRR abs/2312.11391 (2023) - [i64]Jianyao Xu, Qingshan Xu, Xinyao Liao, Wanjuan Su, Chen Zhang, Yew-Soon Ong, Wenbing Tao:
PR-NeuS: A Prior-based Residual Learning Paradigm for Fast Multi-view Neural Surface Reconstruction. CoRR abs/2312.11577 (2023) - [i63]Jiao Liu, Abhishek Gupta, Yew-Soon Ong:
Inverse Transfer Multiobjective Optimization. CoRR abs/2312.14713 (2023) - [i62]Zhu Sun, Kaidong Feng, Jie Yang, Xinghua Qu, Hui Fang, Yew-Soon Ong, Wenyuan Liu:
Dynamic In-Context Learning from Nearest Neighbors for Bundle Generation. CoRR abs/2312.16262 (2023) - 2022
- [j196]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): 10-12 (2022) - [j195]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): 11-13 (2022) - [j194]Abhishek Gupta, Lei Zhou, Yew-Soon Ong, Zefeng Chen, Yaqing Hou:
Half a Dozen Real-World Applications of Evolutionary Multitasking, and More. IEEE Comput. Intell. Mag. 17(2): 49-66 (2022) - [j193]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): 11-13 (2022) - [j192]Yongduan Song, Jon Garibaldi, Carlos A. Coello Coello, Georgios N. Yannakakis, Yew Soon Ong:
CIS Publication Spotlight. IEEE Comput. Intell. Mag. 17(4): 13-15 (2022) - [j191]Jiahao Xie, Xiaohang Zhan, Ziwei Liu, Yew-Soon Ong, Chen Change Loy:
Delving into Inter-Image Invariance for Unsupervised Visual Representations. Int. J. Comput. Vis. 130(12): 2994-3013 (2022) - [j190]Gexiang Zhang, Xihai Zhang, Haina Rong, Prithwineel Paul, Ming Zhu, Ferrante Neri, Yew-Soon Ong:
A Layered Spiking Neural System for Classification Problems. Int. J. Neural Syst. 32(8): 2250023:1-2250023:15 (2022) - [j189]Sijia Zhang, Maoguo Gong, Yu Xie, A. Kai Qin, Hao Li, Yuan Gao, Yew-Soon Ong:
Influence-Aware Attention Networks for Anomaly Detection in Surveillance Videos. IEEE Trans. Circuits Syst. Video Technol. 32(8): 5427-5437 (2022) - [j188]