Chuan-Sheng Foo · Agency for Science, Technology and Research

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Works115 from public data

TitleCited by

Expanded encyclopaedias of DNA elements in the human and mouse genomes
Jill E. Moore, M. Purcaro, Henry E. Pratt, C. Epstein, N. Shoresh, Jessika Adrian, Trupti Kawli, Carrie A. Davis, +22 more
Nature · 2020
2,381
Efficient GAN-Based Anomaly Detection
arXiv · 2018
477
Adversarially Learned Anomaly Detection
Houssam Zenati, Manon Romain, Chuan-Sheng Foo, Bruno Lecouat, V. Chandrasekhar
Proceedings · 2018
468
An Evaluation of Anomaly Detection and Diagnosis in Multivariate Time Series
Astha Garg, Wenyu Zhang, Jules Samaran, R. Savitha, Chuan-Sheng Foo
IEEE Transactions on Neural Networks and Learning Systems · 2021
364
Large-Scale Whole-Genome Sequencing of Three Diverse Asian Populations in Singapore
Degang Wu, Jin-Zhuang Dou, Xiaoran Chai, C. Bellis, A. Wilm, Chih-Chuan Shih, Wendy Weijia Soon, N. Bertin, +22 more
Cell · 2019
242
Perspectives on ENCODE
Michael P. Snyder, T. Gingeras, Jill E. Moore, Z. Weng, M. Gerstein, Bing Ren, R. Hardison, J. Stamatoyannopoulos, +13 more
Nature · 2020
214
Contrastive Adversarial Domain Adaptation for Machine Remaining Useful Life Prediction
Mohamed Ragab, Zheng-Hua Chen, Min Wu, Chuan-Sheng Foo, C. Kwoh, Ru-Qiang Yan, Xiaoli Li
IEEE Transactions on Industrial Informatics · 2020
199
Efficient multiple hyperparameter learning for log-linear models
Chuan-Sheng Foo, C. Do, A. Ng
neural information processing systems · 2007
120
Optimistic mirror descent in saddle-point problems: Going the extra (gradient) mile
arXiv · 2018
114
ADATIME: A Benchmarking Suite for Domain Adaptation on Time Series Data
Mohamed Ragab, Emadeldeen Eldele, Wee-Ling Tan, Chuan-Sheng Foo, Zheng-Hua Chen, Min Wu, C. Kwoh, Xiao-Li Li
ACM Transactions on Knowledge Discovery from Data · 2023
109
DISCOVERING PROTEIN COMPLEXES IN DENSE RELIABLE NEIGHBORHOODS OF PROTEIN INTERACTION NETWORKS
Xiao-Li Li, Chuan-Sheng Foo, See-Kiong Ng
Computational Systems Bioinformatics · 2007
107
The Unusual Effectiveness of Averaging in GAN Training
arXiv · 2018
101
On Representation Knowledge Distillation for Graph Neural Networks
Chaitanya K. Joshi, Fa-Yao Liu, Xu Xun, Jie Lin, Chuan-Sheng Foo
IEEE Transactions on Neural Networks and Learning Systems · 2022
99
A max-margin model for efficient simultaneous alignment and folding of RNA sequences
C. Do, Chuan-Sheng Foo, S. Batzoglou
Bioinformatics · 2008
89
Revisiting Superpixels for Active Learning in Semantic Segmentation with Realistic Annotation Costs
Li-Le Cai, Xun Xu, J. Liew, Chuan Sheng Foo
IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · 2021
82
PromptAD: Zero-shot Anomaly Detection using Text Prompts
Yiting Li, Adam Goodge David, Fa-Yao Liu, Chuan-Sheng Foo
IEEE/CVF Winter Conference on Applications of Computer Vision (WACV) · 2024
75
Searching for Rising Stars in Bibliography Networks
Xiaoli Li, Chuan-Sheng Foo, Kar Leong Tew, S. Ng
Lecture notes in computer science · 2009
67
Proximal regularization for online and batch learning
C. Do, Quoc V. Le, Chuan-Sheng Foo
International Conference on Machine Learning · 2009
56
REACTO: Reconstructing Articulated Objects from a Single Video
Chaoyue Song, Jiacheng Wei, Chuan-Sheng Foo, Guosheng Lin, Fa-Yao Liu
IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · 2024
54
CADCrafter: Generating Computer-Aided Design Models from Unconstrained Images
Cheng Chen, Jiacheng Wei, Tianrun Chen, Chi Zhang, Xiaofeng Yang, Shangzhan Zhang, Bingchen Yang, Chuan-Sheng Foo, +3 more
IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · 2025
48
Scalable and Practical Natural Gradient for Large-Scale Deep Learning
Kazuki Osawa, Yohei Tsuji, Yuichiro Ueno, Akira Naruse, Chuan-Sheng Foo, Rio Yokota
IEEE Transactions on Pattern Analysis and Machine Intelligence · 2020
48
Incentivizing Collaboration in Machine Learning via Synthetic Data Rewards
Sebastian Shenghong Tay, Xinyi Xu, Chuan-Sheng Foo, K. Low
Proceedings of the AAAI Conference on Artificial Intelligence · 2022
44
Using Punctuation as an Adversarial Attack on Deep Learning-Based NLP Systems: An Empirical Study
Brian Formento, Chuan-Sheng Foo, A. Lưu, S. Ng
Findings of the Association for Computational Linguistics: EACL · 2023
43
Source-Free Domain Adaptation with Temporal Imputation for Time Series Data
Mohamed Ragab, Emadeldeen Eldele, Min Wu, Chuan-Sheng Foo, Xiao-Li Li, Zheng-Hua Chen
ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD) · 2023
41
Empirical Analysis Of Overfitting And Mode Drop In Gan Training
Yasin Yazici, Chuan-Sheng Foo, Stefan Winkler, Kim-Hui Yap, V. Chandrasekhar
Proceedings - International Conference on Image Processing · 2020
39
COFT-AD: COntrastive Fine-Tuning for Few-Shot Anomaly Detection
Jingyi Liao, Xun Xu, Manh Cuong Nguyen, Adam Goodge, Chuan-Sheng Foo
IEEE Transactions on Image Processing · 2024
38
Towards Practical Unsupervised Anomaly Detection on Retinal Images
Khalil Ouardini, Huijuan Yang, Balagopal Unnikrishnan, Manon Romain, Camille Garcin, Houssam Zenati, J. Campbell, Michael F. Chiang, +4 more
Lecture notes in computer science · 2019
38
MaxpoolNMS: Getting Rid of NMS Bottlenecks in Two-Stage Object Detectors
Li-Le Cai, Bin Zhao, Zhe Wang, Jie Lin, Chuan-Sheng Foo, Mohamed M. Sabry Aly, V. Chandrasekhar
IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · 2019
33
Mirror descent in saddle-point problems: Going the extra (gradient) mile.
P. Mertikopoulos, Houssam Zenati, Bruno Lecouat, Chuan-Sheng Foo, V. Chandrasekhar, G. Piliouras
arXiv · 2018
33
Gradient Driven Rewards to Guarantee Fairness in Collaborative Machine Learning
neural information processing systems · 2021
31
Source-Free Domain Adaptation Guided by Vision and Vision-Language Pre-training
Wenyu Zhang, Li Shen, Chuan-Sheng Foo
International Journal of Computer Vision · 2024
30
Semi-Supervised Deep Learning for Abnormality Classification in Retinal Images
arXiv · 2018
30
Rethinking the Role of Pre-Trained Networks in Source-Free Domain Adaptation
Wenyu Zhang, Li Shen, Chuan-Sheng Foo
IEEE/CVF International Conference on Computer Vision (ICCV) · 2023
29
A majorization-minimization algorithm for (multiple) hyperparameter learning
Chuan-Sheng Foo, C. Do, A. Ng
International Conference on Machine Learning · 2009
26
Waterfall: Scalable Framework for Robust Text Watermarking and Provenance for LLMs
Gregory Kang Ruey Lau, Xinyuan Niu, Hieu Dao, Jiangwei Chen, Chuan-Sheng Foo, B. Low
Conference on Empirical Methods in Natural Language Processing (EMNLP) · 2024
25
Is Complexity Required for Neural Network Pruning? A Case Study on Global Magnitude Pruning
Manas Gupta, Efe Camci, Vishandi Rudy Keneta, A. Vaidyanathan, R. Kanodia, Ashish James, Chuan-Sheng Foo, Min Wu, +1 more
IEEE Conference on Artificial Intelligence (CAI) · 2024
25
High-Resolution Digital Phenotypes From Consumer Wearables and Their Applications in Machine Learning of Cardiometabolic Risk Markers: Cohort Study
Weizhuang Zhou, Yu-En Chan, Chuan-Sheng Foo, Jingxian Zhang, Jing-Xian Teo, S. Davila, Weiting Huang, J. Yap, +6 more
Journal of Medical Internet Research · 2022
25
Harmonizing Base and Novel Classes: A Class-Contrastive Approach for Generalized Few-Shot Segmentation
International Journal of Computer Vision · 2023
24
Author Correction: Expanded encyclopaedias of DNA elements in the human and mouse genomes
Jill E. Moore, M. Purcaro, Henry E. Pratt, C. Epstein, N. Shoresh, Jessika Adrian, Trupti Kawli, Carrie A. Davis, +22 more
Nature · 2022
23
SemiCurv: Semi-Supervised Curvilinear Structure Segmentation
Xun Xu, M. Nguyen, Yasin Yazici, Kangkang Lu, Hlaing Min, Chuan-Sheng Foo
IEEE Transactions on Image Processing · 2022
22
Source Attribution for Large Language Model-Generated Data
Jing-Tan Wang, Xinyang Lu, Zitong Zhao, Zhongxiang Dai, Chuan-Sheng Foo, See-Kiong Ng, K. Low
arXiv · 2023
21
Semi-Supervised Audio Classification with Consistency-Based Regularization
Kangkang Lu, Chuan-Sheng Foo, Kah Kuan Teh, H. D. Tran, V. Chandrasekhar
Interspeech (USB) · 2019
21
Waterfall: Framework for Robust and Scalable Text Watermarking and Provenance for LLMs
Gregory Kang Ruey Lau, Xinyuan Niu, Hieu Dao, Jiangwei Chen, Chuan-Sheng Foo, K. Low
arXiv · 2024
20
Holistic Multi-Modal Memory Network for Movie Question Answering
Anran Wang, Anh Tuan Luu, Chuan-Sheng Foo, Hongyuan Zhu, Yi Tay, V. Chandrasekhar
IEEE Transactions on Image Processing · 2019
20
TEA-DNN: the Quest for Time-Energy-Accuracy Co-optimized Deep Neural Networks
Li-Le Cai, Anne-Maelle Barneche, Arthur Herbout, Chuan-Sheng Foo, Jie Lin, V. Chandrasekhar, Mohamed M. Sabry Aly
IEEE/ACM International Symposium on Low Power Electronics and Design (ISLPED) · 2019
20
Helpful or Harmful Data? Fine-tuning-free Shapley Attribution for Explaining Language Model Predictions
Jing-Tan Wang, Xiaoqiang Lin, Rui Qiao, Chuan-Sheng Foo, K. Low
arXiv · 2024
19
Validation Free and Replication Robust Volume-based Data Valuation
neural information processing systems · 2021
19
Label-Efficient Point Cloud Semantic Segmentation: An Active Learning Approach
arXiv · 2021
18
Fair yet Asymptotically Equal Collaborative Learning
Xiaoqiang Lin, Xinyi Xu, S. Ng, Chuan-Sheng Foo, K. Low
arXiv · 2023
17
Automated Deep Learning Platform for Accelerated Analog Circuit Design
R. Dutta, Ashish James, S. Raju, Y. Jeon, Chuan-Sheng Foo, Kevin Tshun Chuan Chai
IEEE International System-on-Chip Conference (SOCC) · 2022
16
Semi-supervised Classification of Diagnostic Radiographs with NoTeacher: A Teacher that is Not Mean
Balagopal Unnikrishnan, C. Nguyen, Shafa Balaram, Chuan-Sheng Foo, Pavitra Krishnaswamy
Lecture notes in computer science · 2020
16
Semi-supervised classification of radiology images with NoTeacher: A teacher that is not mean
Balagopal Unnikrishnan, C. Nguyen, Shafa Balaram, Chao Li, Chuan-Sheng Foo, Pavitra Krishnaswamy
Medical Image Analysis · 2021
15
Exploring Spatial Diversity for Region-Based Active Learning
Li-Le Cai, Xun Xu, Li-Ning Zhang, Chuan-Sheng Foo
IEEE Transactions on Image Processing · 2021
15
Exploring Active Learning for Semiconductor Defect Segmentation
Li-Le Cai, R. Pahwa, Xun Xu, Jie Wang, Richard Chang, Li-Ning Zhang, Chuan-Sheng Foo
Proceedings - International Conference on Image Processing · 2022
14
Mahalanobis Distance Based Adversarial Network for Anomaly Detection
Yubo Hou, Zheng-Hua Chen, Min Wu, Chuan-Sheng Foo, Xiaoli Li, R. Shubair
IEEE International Conference on Acoustics Speech and Signal Processing · 2020
14
Semi-Supervised Learning with GANs: Revisiting Manifold Regularization
arXiv · 2018
14
Manifold regularization with GANs for semi-supervised learning
arXiv · 2018
13
Training neural networks with classification rules for incorporating domain knowledge
Wenyu Zhang, Fa-Yao Liu, C. Nguyen, Zhong-Liang Ou Yang, Savitha Ramasamy, Chuan-Sheng Foo
Knowledge-Based Systems · 2024
12
Revisiting pretraining for semi-supervised learning in the low-label regime
Neurocomputing · 2023
12
Few-Shot Adaptation of Pre-Trained Networks for Domain Shift
International Joint Conference on Artificial Intelligence · 2022
12
SemRoDe: Macro Adversarial Training to Learn Representations That are Robust to Word-Level Attacks
Brian Formento, Wen-Jie Feng, Chuan-Sheng Foo, A. Lưu, See-Kiong Ng
arXiv · 2024
11
Point Discriminative Learning for Data-efficient 3D Point Cloud Analysis
Fa-Yao Liu, Guosheng Lin, Chuan-Sheng Foo, Chaitanya K. Joshi, Jie Lin
International Conference on 3D Vision (3DV) · 2022
11
Neural network modeling of differential binding between wild-type and mutant CTCF reveals putative binding preferences for zinc fingers 1–2
Irene M. Kaplow, Abhimanyu Banerjee, Chuan-Sheng Foo
BMC Genomics · 2022
10
WaterDrum: Watermarking for Data-centric Unlearning Metric
Xinyang Lu, Xinyuan Niu, Gregory Kang Ruey Lau, N. Bui, Rachael Hwee Ling Sim, Fanyu Wen, Chuan-Sheng Foo, See-Kiong Ng, +1 more
arXiv · 2025
9
Multi-objective Bayesian optimisation on the textural properties of plant-based meat analogues through high-moisture extrusion
A. Theng, M. Lakshminarayanan, Dayna Shu Min Ong, Yi-Hua Xin, Chuan Sheng Foo, Edwin Khoo, Jie-Hong Chiang
Journal of Food Engineering · 2025
9
MA-GANet: A Multi-Attention Generative Adversarial Network for Defocus Blur Detection
Zeyu Jiang, Xun Xu, Le Zhang, Chao Zhang, Chuan-Sheng Foo, Ce Zhu
IEEE Transactions on Image Processing · 2022
9
Bayesian Deep Active Learning for Analog Circuit Performance Classification
Li-Ning Zhang, S. Raju, Ashish James, R. Dutta, G. Fournier, Damien Lancry, Kevin Chai Tshun Chuan, V. Chandrasekhar, +1 more
IEEE International Symposium on Circuits and Systems proceedings · 2022
9
Universal Semi-Supervised Domain Adaptation by Mitigating Common-Class Bias
Wenyu Zhang, Qingmu Liu, Felix Ong Wei Cong, Mohamed Ragab, Chuan-Sheng Foo
IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · 2024
8
Data Distribution Valuation
Xinyi Xu, Shuai-Qi Wang, Chuan-Sheng Foo, K. Low, Giulia Fanti
arXiv · 2024
8
Special Symbol Attacks On NLP Systems
Brian Formento, See-Kiong Ng, Chuan-Sheng Foo
2021 International Joint Conference on Neural Networks (IJCNN) · 2021
8
Learning to Impute: A General Framework for Semi-supervised Learning
arXiv · 2019
8
Probably Approximate Shapley Fairness with Applications in Machine Learning
Proceedings of the AAAI Conference on Artificial Intelligence · 2023
7
Evidentially Calibrated Source-Free Time-Series Domain Adaptation With Temporal Imputation
Mohamed Ragab, Pei-Liang Gong, Emadeldeen Eldele, Wenyu Zhang, Min Wu, Chuan-Sheng Foo, Dao-Qiang Zhang, Xiao-Li Li, +1 more
IEEE Transactions on Knowledge and Data Engineering · 2025
6
Confidence Elicitation: A New Attack Vector for Large Language Models
Brian Formento, Chuan-Sheng Foo, See-Kiong Ng
arXiv · 2025
6
FIND: Few-Shot Anomaly Inspection with Normal-Only Multi-Modal Data
Yiting Li, Fa-Yao Liu, Jingyi Liao, Sichao Tian, Chuan-Sheng Foo, Xulei Yang
IEEE/CVF International Conference on Computer Vision (ICCV) · 2025
6
On the Adversarial Risk of Test Time Adaptation: An Investigation into Realistic Test-Time Data Poisoning
Yong-Yi Su, Yushu Li, Nanqing Liu, K. Jia, Xulei Yang, Chuan-Sheng Foo, Xun Xu
arXiv · 2024
6
Open-Set Semi-Supervised Learning for 3D Point Cloud Understanding
Xian Shi, Xun Xu, Wanyue Zhang, Xiatian Zhu, Chuan-Sheng Foo, K. Jia
Proceedings - International Conference on Pattern Recognition/Proceedings/International Conference on Pattern Recognition · 2022
6
On Automatic Data Augmentation for 3D Point Cloud Classification
Wanyue Zhang, Xun Xu, Fa-Yao Liu, Le Zhang, Chuan-Sheng Foo
British Machine Vision Conference (BMVC) · 2021
6
AI-Powered Revolution
Zhi-Hui Kong, Anusha James, S. Ata, Khin Mi Mi Aung, Chuan-Sheng Foo, Ashish James, K. Yeo
IEEE Nanotechnology Magazine · 2025
5
Fine Structure-Aware Sampling: A New Sampling Training Scheme for Pixel-Aligned Implicit Models in Single-View Human Reconstruction
K. Chan, Fa-Yao Liu, Guosheng Lin, Chuan-Sheng Foo, Weisi Lin
Proceedings of the AAAI Conference on Artificial Intelligence · 2024
5
R-Cyclic Diffuser: Reductive and Cyclic Latent Diffusion for 3D Clothed Human Digitalization
K. Chan, Fa-Yao Liu, Guo-Sheng Lin, Chuan-Sheng Foo, Weisi Lin
IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · 2024
4
Label-Efficient Point Cloud Semantic Segmentation: A Holistic Active Learning Approach
Shi Xian, Li-Le Cai, Chen Ke, Chuan-Sheng Foo, Jia Kui, Xu Xun
World Scientific Annual Review of Artificial Intelligence · 2024
4
A Minimally Supervised Approach for Medical Image Quality Assessment in Domain Shift Settings
Huijuan Yang, Aaron S. Coyner, Feri Guretno, Ivan Ho Mien, Chuan Sheng Foo, J. Campbell, S. Ostmo, Michael F. Chiang, +1 more
IEEE International Conference on Acoustics Speech and Signal Processing · 2022
4
Classify and generate: Using classification latent space representations for image generations
S. Gopalakrishnan, Pranshu Ranjan Singh, Yasin Yazici, Chuan-Sheng Foo, V. Chandrasekhar, Arulmurugan Ambikapathi
Neurocomputing · 2021
4
Fourier Sensitivity and Regularization of Computer Vision Models
K. Krishnamachari, S. Ng, Chuan-Sheng Foo
arXiv · 2023
3
On Adversarial Robustness of Audio Classifiers
Kangkang Lu, Manh Cuong Nguyen, Xun Xu, Chuan-Sheng Foo
IEEE International Conference on Acoustics Speech and Signal Processing · 2023
3
Encoding Knowledge Graph with Graph CNN for Question Answering
Leo Laugier, Anran Wang, Chuan-Sheng Foo, Theo Guenais, V. Chandrasekhar
2019
3
Predicting thermoelectric properties from crystal graphs and material descriptors - first application for functional materials
arXiv · 2018
3
Learning RNA secondary structure (only) from structure probing data
Chuan-Sheng Foo, Cristina Pop
bioRxiv (Cold Spring Harbor Laboratory) · 2017
3
SRNet: Self-supervised structure regularization for stereo matching
Jun Cheng, Zai-Wang Gu, Wei-De Liu, Jiayuan Fan, Zhengguo Li, Chuan-Sheng Foo
Neurocomputing · 2025
2
Data valuation in federated learning
Elsevier eBooks · 2024
2
Towards Safe and Efficient Analog Circuit Design: Active Learning for Feasibility Region Exploration
S. Ata, Zhi-Hui Kong, Anusha James, Li-Le Cai, K. Yeo, Khin Mi Mi Aung, Chuan-Sheng Foo, Ashish James
IEEE Asia Pacific Conference on Circuits and Systems (APCCAS) · 2024
2
Incentives in federated learning
Elsevier eBooks · 2024
2
Mining Semantic Correlations Between Mispredictions and Corrections for Interactive Semantic Segmentation
Yutong Gao, Cong-Yan Lang, Fa-Yao Liu, Chuan-Sheng Foo, Yuanzhouhan Cao, Lijuan Sun, Yun-Chao Wei
IEEE Transactions on Neural Networks and Learning Systems · 2024
2
MoDA: Modeling Deformable 3D Objects from Casual Videos
arXiv · 2023
2
Diverse and consistent multi-view networks for semi-supervised regression
Cuong Manh Nguyen, Arun Raja, Le Zhang, Xun Xu, Balagopal Unnikrishnan, Mohamed Ragab, Kangkang Lu, Chuan-Sheng Foo
Machine Learning · 2023
2
Domain Generalization via Selective Consistency Regularization for Time Series Classification
Wenyu Zhang, Mohamed Ragab, Chuan-Sheng Foo
Proceedings - International Conference on Pattern Recognition/Proceedings/International Conference on Pattern Recognition · 2022
2
A*HAR: A New Benchmark towards Semi-supervised learning for Class-imbalanced Human Activity Recognition
arXiv · 2021
2
Learning of Multi-Dimensional Analog Circuits Through Generative Adversarial Network (GAN)
R. Dutta, S. Raju, Ashish James, C. J. Leo, Y. Jeon, Balagopal Unnikrishnan, Chuan-Sheng Foo, Zeng Zeng, +2 more
IEEE International System-on-Chip Conference (SOCC) · 2019
2
Unified genomic and chemical representations enable bidirectional biosynthetic gene cluster and natural product retrieval
Guimei Liu, Yiting Li, Gabriel Ong, F. Wong, Dillon W. P. Tay, Yee Hwee Lim, Chuan Sheng Foo, Winston Koh
Scientific Reports · 2026
1
The Initialization Effect: Refining Bayesian Optimization for Circuit Design
Anusha James, Zhi-Hui Kong, S. Ata, Khin Mi Mi Aung, K. Yeo, Chuan-Sheng Foo, Ashish James
IEEE transactions on circuits and systems for artificial intelligence. · 2025
1
Broaden your SCOPE! Efficient Multi-turn Conversation Planning for LLMs with Semantic Space
Zhiliang Chen, Xinyuan Niu, Chuan-Sheng Foo, K. Low
arXiv · 2025
1
The Initialization Factor: Understanding its Impact on Active Learning for Analog Circuit Design
S. Ata, Zhi-Hui Kong, Anusha James, Li-Le Cai, K. Yeo, Khin Mi Mi Aung, Chuan-Sheng Foo, Ashish James
IEEE International Symposium on Circuits and Systems proceedings · 2024
1
Exploring Diffusion Model for Semiconductor Defect Detection
Kangkang Lu, Li-Le Cai, Xun Xu, R. Pahwa, Jie Wang, Richard Chang, Xulei Yang, Chuan-Sheng Foo
IEEE Electronics Packaging Technology Conference (EPTC) · 2024
1
Fairness in federated learning
Elsevier eBooks · 2024
1
Classification Representations Can be Reused for Downstream Generations.
Saisubramaniam Gopalakrishnan, Pranshu Ranjan Singh, Yasin Yazici, Chuan-Sheng Foo, V. Chandrasekhar, Arulmurugan Ambikapathi
arXiv · 2020
1
Venn GAN: Discovering Commonalities and Particularities of Multiple Distributions
arXiv · 2019
1
STFAR: Test-time adaptive object detection through self-training and feature alignment regularization
Nanqing Liu, Yijin Chen, Yong-Yi Su, Haojie Zhang, Li-Le Cai, Heng-Chao Li, K. Jia, Tian-Rui Li, +2 more
Expert Systems with Applications · 2026
–
Sculpt3D: Multi-View Consistent Text-to-3D Generation with Sparse 3D Prior
arXiv · 2024
–
Contributors
Elsevier eBooks · 2024
–
3DFG-PIFu: 3D Feature Grids for Human Digitization from Sparse Views
K. Chan, Fa-Yao Liu, Guo-Sheng Lin, Chuan-Sheng Foo, Weisi Lin
Lecture notes in computer science · 2024
–
PseudoCal: A Source-Free Approach to Unsupervised Uncertainty Calibration in Domain Adaptation
Da-Peng Hu, Jian Liang, Xinchao Wang, Chuan-Sheng Foo
arXiv · 2023
–
Author Correction: Perspectives on ENCODE
M. P. Snyder, T. Gingeras, Jill E. Moore, Z. Weng, M. Gerstein, B. Ren, R. Hardison, J. Stamatoyannopoulos, +14 more
Nature · 2022
–
Mixed Membership Generative Adversarial Networks
Yasin Yazici, Bruno Lecouat, Kim-Hui Yap, Stefan Winkler, G. Piliouras, V. Chandrasekhar, Chuan-Sheng Foo
Proceedings - International Conference on Image Processing · 2022
–
ARMOURED: Adversarially Robust MOdels using Unlabeled data by REgularizing Diversity
International Conference on Learning Representations · 2021
–

Publication data from OpenAlex, with missing venues and authors filled in from Crossref; citation counts are the higher of OpenAlex and Semantic Scholar, last synced 2026-10-10. Citation counts may be lower than on Google Scholar, which indexes more sources.

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