Stop the war!Остановите войну!
for scientists:
default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCIDYew-Soon Ong
Yew Soon Ong
Person information
- affiliation: Nanyang Technological University, Singapore
- affiliation (PhD 2003): University of Southampton, UK
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
showing all ?? records
2020 – today
- 2024
[j218]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)- [j217]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) - 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 - [i72]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) - [i71]Bohao Qu, Xiaofeng Cao, Jielong Yang, Hechang Chen, Yi Chang, Ivor W. Tsang, Yew-Soon Ong:
Policy Dispersion in Non-Markovian Environment. CoRR abs/2302.14509 (2023) - [i70]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) - [i69]Longbing Cao, Hui Chen, Xuhui Fan, João Gama, Yew-Soon Ong, Vipin Kumar:
Bayesian Federated Learning: A Survey. CoRR abs/2304.13267 (2023) - [i68]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) - [i67]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) - [i66]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) - [i65]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) - [i64]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) - [i63]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) - [i62]Shengcai Liu, Caishun Chen, Xinghua Qu, Ke Tang, Yew-Soon Ong:
Large Language Models as Evolutionary Optimizers. CoRR abs/2310.19046 (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]Liang Feng, Wei Zhou, Weichen Liu, Yew-Soon Ong, Kay Chen Tan:
Solving Dynamic Multiobjective Problem via Autoencoding Evolutionary Search. IEEE Trans. Cybern. 52(5): 2649-2662 (2022) - [j187]Haitao Liu, Yew-Soon Ong, Ziwei Yu, Jianfei Cai, Xiaobo Shen:
Scalable Gaussian Process Classification With Additive Noise for Non-Gaussian Likelihoods. IEEE Trans. Cybern. 52(7): 5842-5854 (2022) - [j186]Xinghua Qu, Yew-Soon Ong, Abhishek Gupta:
Frame-Correlation Transfers Trigger Economical Attacks on Deep Reinforcement Learning Policies. IEEE Trans. Cybern. 52(8): 7577-7590 (2022) - [j185]Tiantian He, Lu Bai, Yew-Soon Ong:
Vicinal Vertex Allocation for Matrix Factorization in Networks. IEEE Trans. Cybern. 52(8): 8047-8060 (2022) - [j184]Lu Bai, Wu Lin, Abhishek Gupta, Yew-Soon Ong:
From Multitask Gradient Descent to Gradient-Free Evolutionary Multitasking: A Proof of Faster Convergence. IEEE Trans. Cybern. 52(8): 8561-8573 (2022) - [j183]Zhendong Guo, Yew-Soon Ong, Tiantian He, Haitao Liu:
Co-Learning Bayesian Optimization. IEEE Trans. Cybern. 52(9): 9820-9833 (2022) - [j182]Haitao Liu, Yew-Soon Ong, Xiaomo Jiang, Xiaofang Wang:
Deep Latent-Variable Kernel Learning. IEEE Trans. Cybern. 52(10): 10276-10289 (2022) - [j181]Nick Zhang, Abhishek Gupta, Zefeng Chen, Yew-Soon Ong:
Evolutionary Machine Learning With Minions: A Case Study in Feature Selection. IEEE Trans. Evol. Comput. 26(1): 130-144 (2022) - [j180]Abhishek Gupta, Yew-Soon Ong, Kenneth A. De Jong, Mengjie Zhang:
Guest Editorial Special Issue on Multitask Evolutionary Computation. IEEE Trans. Evol. Comput. 26(2): 202-205 (2022) - [j179]Jiawei Yuan, Hai-Lin Liu, Yew-Soon Ong, Zhaoshui He:
Indicator-Based Evolutionary Algorithm for Solving Constrained Multiobjective Optimization Problems. IEEE Trans. Evol. Comput. 26(2): 379-391 (2022) - [j178]Liang Feng, Yuxiao Huang, Ivor W. Tsang, Abhishek Gupta, Ke Tang, Kay Chen Tan, Yew-Soon Ong:
Towards Faster Vehicle Routing by Transferring Knowledge From Customer Representation. IEEE Trans. Intell. Transp. Syst. 23(2): 952-965 (2022) - [j177]Pengfei Wei, Ramón Sagarna, Yiping Ke, Yew-Soon Ong:
Easy-But-Effective Domain Sub-Similarity Learning for Transfer Regression. IEEE Trans. Knowl. Data Eng. 34(9): 4161-4171 (2022) - [j176]Alvin Chan, Lei Ma, Felix Juefei-Xu, Yew-Soon Ong, Xiaofei Xie, Minhui Xue, Yang Liu:
Breaking Neural Reasoning Architectures With Metamorphic Relation-Based Adversarial Examples. IEEE Trans. Neural Networks Learn. Syst. 33(11): 6976-6982 (2022) - [c149]Ray Lim, Abhishek Gupta, Yew-Soon Ong:
An Initial Investigation of Data-Lean Transfer Evolutionary Optimization with Probabilistic Priors. CEC 2022: 1-9 - [c148]Mingyu Xu, Yongjin Zheng, Yew-Soon Ong, Zexuan Zhu, Xiaoliang Ma:
A multifactorial differential evolution with hybrid global and local search strategies. CEC 2022: 1-9 - [c147]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: 659-665 - [c146]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: 3751-3757 - [c145]Nguyen Hong Ngoc, Alvin Chan, Huynh Thi Thanh Binh, Yew Soon Ong:
Anti-Forensic Deepfake Personas and How To Spot Them. IJCNN 2022: 1-8 - [c144]Yi Sheng Chong, Wang Ling Goh, Yew Soon Ong, Vishnu P. Nambiar, Anh Tuan Do:
0.08mm2 128nW MFCC Engine for Ultra-low Power, Always-on Smart Sensing Applications. ISCAS 2022: 2680-2684 - [c143]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: 2958-2962 - [c142]Xinghua Qu, Yew Soon Ong, Abhishek Gupta, Pengfei Wei, Zhu Sun, Zejun Ma:
Importance Prioritized Policy Distillation. KDD 2022: 1420-1429 - [c141]Xinghua Qu, Pengfei Wei, Mingyong Gao, Zhu Sun, Yew Soon Ong, Zejun Ma:
Synthesising Audio Adversarial Examples for Automatic Speech Recognition. KDD 2022: 1430-1440 - [c140]Qiancheng Fu, Qingshan Xu, Yew Soon Ong, Wenbing Tao:
Geo-Neus: Geometry-Consistent Neural Implicit Surfaces Learning for Multi-view Reconstruction. NeurIPS 2022 - [c139]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: 2900-2911 - [c138]Abhishek Gupta, Ray Lim, Chin Chun Ooi, Yew-Soon Ong:
Tightening Regret Bounds for Scalable Transfer Optimization with Gaussian Process Surrogates. SSCI 2022: 1669-1674 - [i61]Haitao Liu, Kai Wu, Yew-Soon Ong, Xiaomo Jiang, Xiaofang Wang:
Learning Multi-Task Gaussian Process Over Heterogeneous Input Domains. CoRR abs/2202.12636 (2022) - [i60]Nick Zhang, Abhishek Gupta, Zefeng Chen, Yew-Soon Ong:
Lean Evolutionary Reinforcement Learning by Multitasking with Importance Sampling. CoRR abs/2203.10844 (2022) - [i59]Han Xiang Choong, Yew-Soon Ong, Abhishek Gupta, Ray Lim:
Jack and Masters of All Trades: One-Pass Learning of a Set of Model Sets from Foundation Models. CoRR abs/2205.00671 (2022) - [i58]Zhenghua Chen, Min Wu, Alvin Chan, Xiaoli Li, Yew-Soon Ong:
A Survey on AI Sustainability: Emerging Trends on Learning Algorithms and Research Challenges. CoRR abs/2205.03824 (2022) - [i57]Alvin Chan, Yew-Soon Ong, Clement Tan:
How Does Frequency Bias Affect the Robustness of Neural Image Classifiers against Common Corruption and Adversarial Perturbations? CoRR abs/2205.04533 (2022) - [i56]Suryadi, Yew-Soon Ong, Lock Yue Chew:
Jacobian Granger Causal Neural Networks for Analysis of Stationary and Nonstationary Data. CoRR abs/2205.09573 (2022) - [i55]Qiancheng Fu, Qingshan Xu, Yew-Soon Ong, Wenbing Tao:
Geo-Neus: Geometry-Consistent Neural Implicit Surfaces Learning for Multi-view Reconstruction. CoRR abs/2205.15848 (2022) - [i54]Jiahao Xie, Wei Li, Xiaohang Zhan, Ziwei Liu, Yew Soon Ong, Chen Change Loy:
Masked Frequency Modeling for Self-Supervised Visual Pre-Training. CoRR abs/2206.07706 (2022) - [i53]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. CoRR abs/2206.10848 (2022) - [i52]Qing Yin, Hui Fang, Zhu Sun, Yew-Soon Ong:
Understanding Diversity in Session-Based Recommendation. CoRR abs/2208.13453 (2022) - [i51]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. CoRR abs/2209.00472 (2022) - [i50]Tiantian He, Haicang Zhou, Yew-Soon Ong, Gao Cong:
Not All Neighbors Are Worth Attending to: Graph Selective Attention Networks for Semi-supervised Learning. CoRR abs/2210.07715 (2022) - [i49]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. CoRR abs/2212.07030 (2022) - [i48]Nicholas Wei Yong Sung, Jian Cheng Wong, Pao-Hsiung Chiu, Abhishek Gupta, Chinchun Ooi, Yew-Soon Ong:
JAX-Accelerated Neuroevolution of Physics-informed Neural Networks: Benchmarks and Experimental Results. CoRR abs/2212.07624 (2022) - 2021
- [j175]Ray Lim, Lei Zhou, Abhishek Gupta, Yew-Soon Ong, Allan N. Zhang:
Solution Representation Learning in Multi-Objective Transfer Evolutionary Optimization. IEEE Access 9: 41844-41860 (2021) - [j174]Haibo He, Carlos A. Coello Coello, Julian Togelius, Yaochu Jin, Yew-Soon Ong, Hussein A. Abbass:
CIS Publication Spotlight [Publication Spotlight]. IEEE Comput. Intell. Mag. 16(1): 18-20 (2021) - [j173]Haibo He, Jon Garibaldi, Carlos A. Coello Coello, Julian Togelius, Yaochu Jin, Yew-Soon Ong, Hussein A. Abbass:
CIS Publication Spotlight [Publication Spotlight]. IEEE Comput. Intell. Mag. 16(2): 11-76 (2021) - [j172]Jian Cheng Wong, Abhishek Gupta, Yew-Soon Ong:
Can Transfer Neuroevolution Tractably Solve Your Differential Equations? IEEE Comput. Intell. Mag. 16(2): 14-30 (2021) - [j171]Haibo He, Jon Garibaldi, Carlos A. Coello Coello, Julian Togelius, Yaochu Jin, Yew-Soon Ong, Hussein A. Abbass:
CIS Publication Spotlight [Publication Spotlight]. IEEE Comput. Intell. Mag. 16(3): 5-7, 94 (2021) - [j170]Haibo He, Jon Garibaldi, Carlos A. Coello Coello, Julian Togelius, Yaochu Jin, Yew-Soon Ong, Hussein A. Abbass:
CIS Publication Spotlight [Publication Spotlight]. IEEE Comput. Intell. Mag. 16(4): 14-16 (2021) - [j169]Liang Feng, Handing Wang, Yew-Soon Ong, Kay Chen Tan, Yaochu Jin:
[Guest Editorial]. IEEE Comput. Intell. Mag. 16(4): 17-18 (2021) - [j168]Soujanya Poria, Yew-Soon Ong, Bing Liu, Lidong Bing:
Affect Recognition for Multimodal Natural Language Processing. Cogn. Comput. 13(2): 229-230 (2021) - [j167]Ray Lim, Abhishek Gupta, Yew-Soon Ong, Liang Feng, Allan N. Zhang:
Non-linear Domain Adaptation in Transfer Evolutionary Optimization. Cogn. Comput. 13(2): 290-307 (2021) - [j166]Tiantian He, Yew-Soon Ong, Pengwei Hu:
Multi-source propagation aware network clustering☆. Neurocomputing 453: 119-130 (2021) - [j165]Ruwang Jiao, Sanyou Zeng, Changhe Li, Yew-Soon Ong:
Two-type weight adjustments in MOEA/D for highly constrained many-objective optimization. Inf. Sci. 578: 592-614 (2021) - [j164]Haitao Liu, Yew-Soon Ong, Xiaomo Jiang, Xiaofang Wang:
Modulating scalable Gaussian processes for expressive statistical learning. Pattern Recognit. 120: 108121 (2021) - [j163]Xinghua Qu, Zhu Sun, Yew-Soon Ong, Abhishek Gupta, Pengfei Wei:
Minimalistic Attacks: How Little It Takes to Fool Deep Reinforcement Learning Policies. IEEE Trans. Cogn. Dev. Syst. 13(4): 806-817 (2021) - [j162]Alan Tan Wei Min, Abhishek Gupta, Yew-Soon Ong:
Generalizing Transfer Bayesian Optimization to Source-Target Heterogeneity. IEEE Trans Autom. Sci. Eng. 18(4): 1754-1765 (2021) - [j161]Zhen Zhang, Yew-Soon Ong, Dongqing Wang, Binqiang Xue:
A Collaborative Multiagent Reinforcement Learning Method Based on Policy Gradient Potential. IEEE Trans. Cybern. 51(2): 1015-1027 (2021) - [j160]Kavitesh Kumar Bali, Abhishek Gupta, Yew-Soon Ong, Puay Siew Tan:
Cognizant Multitasking in Multiobjective Multifactorial Evolution: MO-MFEA-II. IEEE Trans. Cybern. 51(4): 1784-1796 (2021) - [j159]Ruwang Jiao, Sanyou Zeng, Changhe Li, Shengxiang Yang, Yew-Soon Ong:
Handling Constrained Many-Objective Optimization Problems via Problem Transformation. IEEE Trans. Cybern. 51(10): 4834-4847 (2021) - [j158]Lei Zhou, Liang Feng, Abhishek Gupta, Yew-Soon Ong:
Learnable Evolutionary Search Across Heterogeneous Problems via Kernelized Autoencoding. IEEE Trans. Evol. Comput. 25(3): 567-581 (2021) - [j157]Haitao Liu, Yew-Soon Ong, Jianfei Cai:
Large-Scale Heteroscedastic Regression via Gaussian Process. IEEE Trans. Neural Networks Learn. Syst. 32(2): 708-721 (2021) - [j156]Pengfei Wei, Ramón Sagarna, Yiping Ke, Yew-Soon Ong:
Practical Multisource Transfer Regression With Source-Target Similarity Captures. IEEE Trans. Neural Networks Learn. Syst. 32(8): 3498-3509 (2021) - [j155]Yaqing Hou, Yew-Soon Ong, Jing Tang, Yifeng Zeng:
Evolutionary Multiagent Transfer Learning With Model-Based Opponent Behavior Prediction. IEEE Trans. Syst. Man Cybern. Syst. 51(10): 5962-5976 (2021) - [c137]Alvin Chan, Anna Korsakova, Yew-Soon Ong, Fernaldo Richtia Winnerdy, Kah Wai Lim, Anh Tuan Phan:
RNA alternative splicing prediction with discrete compositional energy network. CHIL 2021: 193-203 - [c136]Alvin Chan, Yew-Soon Ong, Bill Pung, Aston Zhang, Jie Fu:
CoCon: A Self-Supervised Approach for Controlled Text Generation. ICLR 2021 - [c135]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: 1-5 - [c134]