Chuan-Sheng Foo - researchr alias

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Viewing Publication 1 - 63 from 63

2024

Revisiting pretraining for semi-supervised learning in the low-label regimeXun Xu 0002, Jingyi Liao, Lile Cai, Manh Cuong Nguyen, Kangkang Lu, Wanyue Zhang, Yasin Yazici, Chuan-Sheng Foo. ijon, 565:126971, January 2024. [doi]

Fine Structure-Aware Sampling: A New Sampling Training Scheme for Pixel-Aligned Implicit Models in Single-View Human ReconstructionKennard Yanting Chan, Fayao Liu, Guosheng Lin, Chuan-Sheng Foo, Weisi Lin. AAAI 2024: 964-971 [doi]

On Representation Knowledge Distillation for Graph Neural NetworksChaitanya K. Joshi, Fayao Liu, Xu Xun, Jie Lin 0001, Chuan-Sheng Foo. tnn, 35(4):4656-4667, April 2024. [doi]

PromptAD: Zero-shot Anomaly Detection using Text PromptsYiting Li, Adam David Goodge, Fayao Liu, Chuan-Sheng Foo. wacv 2024: 1082-1091 [doi]

COFT-AD: COntrastive Fine-Tuning for Few-Shot Anomaly DetectionJingyi Liao, Xun Xu 0002, Manh Cuong Nguyen, Adam Goodge, Chuan-Sheng Foo. TIP, 33:2090-2103, 2024. [doi]

Harmonizing Base and Novel Classes: A Class-Contrastive Approach for Generalized Few-Shot SegmentationWeide Liu, Zhonghua Wu, Yang Zhao, Yuming Fang, Chuan-Sheng Foo, Jun Cheng 0003, Guosheng Lin. ijcv, 132(4):1277-1291, April 2024. [doi]

2023

ADATIME: A Benchmarking Suite for Domain Adaptation on Time Series DataMohamed Ragab 0002, Emadeldeen Eldele, Wee Ling Tan, Chuan-Sheng Foo, Zhenghua Chen, Min Wu 0008, Chee-Keong Kwoh 0001, Xiaoli Li 0001. tkdd, 17(8), 2023. [doi]

Source-Free Domain Adaptation with Temporal Imputation for Time Series DataMohamed Ragab 0002, Emadeldeen Eldele, Min Wu 0008, Chuan-Sheng Foo, Xiaoli Li, Zhenghua Chen. kdd 2023: 1989-1998 [doi]

Rethinking the Role of Pre-Trained Networks in Source-Free Domain AdaptationWenyu Zhang 0003, Li Shen, Chuan-Sheng Foo. iccv 2023: 18795-18805 [doi]

Using Punctuation as an Adversarial Attack on Deep Learning-Based NLP Systems: An Empirical StudyBrian Formento, Chuan-Sheng Foo, Anh Tuan Luu, See-Kiong Ng. eacl 2023: 1-34 [doi]

Fair yet Asymptotically Equal Collaborative LearningXiaoqiang Lin, Xinyi Xu, See-Kiong Ng, Chuan-Sheng Foo, Bryan Kian Hsiang Low. icml 2023: 21223-21259 [doi]

On Adversarial Robustness of Audio ClassifiersKangkang Lu, Manh Cuong Nguyen, Xun Xu 0002, Chuan-Sheng Foo. icassp 2023: 1-5 [doi]

Diverse and consistent multi-view networks for semi-supervised regressionCuong Manh Nguyen, Arun Raja, Le Zhang, Xun Xu 0002, Balagopal Unnikrishnan, Mohamed Ragab 0002, Kangkang Lu, Chuan-Sheng Foo. ml, 112(7):2359-2395, July 2023. [doi]

Bayesian Optimization with Cost-varying Variable SubsetsSebastian Tay, Chuan-Sheng Foo, Daisuke Urano, Richalynn Leong, Bryan Kian Hsiang Low. nips 2023: [doi]

No-regret Sample-efficient Bayesian Optimization for Finding Nash Equilibria with Unknown UtilitiesSebastian Shenghong Tay, Quoc Phong Nguyen, Chuan-Sheng Foo, Bryan Kian Hsiang Low. aistats 2023: 3591-3619 [doi]

Model Shapley: Equitable Model Valuation with Black-box AccessXinyi Xu, Thanh Lam, Chuan-Sheng Foo, Bryan Kian Hsiang Low. nips 2023: [doi]

FAIR: Fair Collaborative Active Learning with Individual Rationality for Scientific DiscoveryXinyi Xu, Zhaoxuan Wu, Arun Verma, Chuan-Sheng Foo, Bryan Kian Hsiang Low. aistats 2023: 4033-4057 [doi]

Probably Approximate Shapley Fairness with Applications in Machine LearningZijian Zhou, Xinyi Xu, Rachael Hwee Ling Sim, Chuan-Sheng Foo, Bryan Kian Hsiang Low. AAAI 2023: 5910-5918 [doi]

2022

Domain Generalization via Selective Consistency Regularization for Time Series ClassificationWenyu Zhang 0003, Mohamed Ragab 0002, Chuan-Sheng Foo. icpr 2022: 2149-2156 [doi]

Exploring Active Learning for Semiconductor Defect SegmentationLile Cai, Ramanpreet Singh Pahwa, Xun Xu, Jie Wang, Richard Chang 0002, Lining Zhang, Chuan-Sheng Foo. icip 2022: 1796-1800 [doi]

Automated Deep Learning Platform for Accelerated Analog Circuit DesignRahul Dutta, Ashish James, Salahuddin Raju, Yong-Joon Jeon, Chuan-Sheng Foo, Kevin Tshun Chuan Chai. socc 2022: 1-5 [doi]

An Evaluation of Anomaly Detection and Diagnosis in Multivariate Time SeriesAstha Garg, Wenyu Zhang, Jules Samaran, Ramasamy Savitha, Chuan-Sheng Foo. tnn, 33(6):2508-2517, 2022. [doi]

Classify and generate: Using classification latent space representations for image generationsSaisubramaniam Gopalakrishnan, Pranshu Ranjan Singh, Yasin Yazici, Chuan-Sheng Foo, Vijay Chandrasekhar 0001, ArulMurugan Ambikapathi. ijon, 471:296-334, 2022. [doi]

MA-GANet: A Multi-Attention Generative Adversarial Network for Defocus Blur DetectionZeyu Jiang, Xun Xu, Le Zhang 0001, Chao Zhang, Chuan-Sheng Foo, Ce Zhu. TIP, 31:3494-3508, 2022. [doi]

Fourier Sensitivity and Regularization of Computer Vision ModelsKiran Krishnamachari, See-Kiong Ng, Chuan-Sheng Foo. tmlr, 2022, 2022. [doi]

Point Discriminative Learning for Data-efficient 3D Point Cloud AnalysisFayao Liu, Guosheng Lin, Chuan-Sheng Foo, Chaitanya K. Joshi, Jie Lin 0001. 3dim 2022: 42-51 [doi]

Scalable and Practical Natural Gradient for Large-Scale Deep LearningKazuki Osawa, Yohei Tsuji, Yuichiro Ueno, Akira Naruse, Chuan-Sheng Foo, Rio Yokota. pami, 44(1):404-415, 2022. [doi]

Open-Set Semi-Supervised Learning for 3D Point Cloud UnderstandingXian Shi, Xun Xu, Wanyue Zhang, Xiatian Zhu, Chuan-Sheng Foo, Kui Jia. icpr 2022: 5045-5051 [doi]

Efficient Distributionally Robust Bayesian Optimization with Worst-case SensitivitySebastian Shenghong Tay, Chuan-Sheng Foo, Urano Daisuke, Richalynn Leong, Bryan Kian Hsiang Low. icml 2022: 21180-21204 [doi]

Incentivizing Collaboration in Machine Learning via Synthetic Data RewardsSebastian Shenghong Tay, Xinyi Xu, Chuan-Sheng Foo, Bryan Kian Hsiang Low. AAAI 2022: 9448-9456 [doi]

SemiCurv: Semi-Supervised Curvilinear Structure SegmentationXun Xu, Cuong Manh Nguyen, Yasin Yazici, Kangkang Lu, Hlaing Min, Chuan-Sheng Foo. TIP, 31:5109-5120, 2022. [doi]

A Minimally Supervised Approach for Medical Image Quality Assessment in Domain Shift SettingsHuijuan Yang, Aaron S. Coyner, Feri Guretno, Ivan Ho Mien, Chuan-Sheng Foo, J. Peter Campbell, Susan Ostmo, Michael F. Chiang, Pavitra Krishnaswamy. icassp 2022: 1286-1290 [doi]

Mixed Membership Generative Adversarial NetworksYasin Yazici, Bruno Lecouat, Kim-Hui Yap, Stefan Winkler 0001, Georgios Piliouras, Vijay Chandrasekhar 0001, Chuan-Sheng Foo. icip 2022: 1026-1030 [doi]

Bayesian Deep Active Learning for Analog Circuit Performance ClassificationLining Zhang, Salahuddin Raju, Ashish James, Rahul Dutta, Gregoire Fournier, Damien Lancry, Kevin Chai Tshun Chuan, Vijay Ramaseshan Chandrasekhar, Chuan-Sheng Foo. iscas 2022: 3018-3022 [doi]

Few-Shot Adaptation of Pre-Trained Networks for Domain ShiftWenyu Zhang, Li Shen, Wanyue Zhang, Chuan-Sheng Foo. IJCAI 2022: 1665-1671 [doi]

2021

Contrastive Adversarial Domain Adaptation for Machine Remaining Useful Life PredictionMohamed Ragab 0002, Zhenghua Chen, Min Wu 0008, Chuan-Sheng Foo, Chee-Keong Kwoh 0001, Ruqiang Yan, Xiaoli Li 0001. tii, 17(8):5239-5249, 2021. [doi]

Revisiting Superpixels for Active Learning in Semantic Segmentation With Realistic Annotation CostsLile Cai, Xun Xu, Jun Hao Liew, Chuan-Sheng Foo. cvpr 2021: 10988-10997 [doi]

Exploring Spatial Diversity for Region-Based Active LearningLile Cai, Xun Xu, Lining Zhang, Chuan-Sheng Foo. TIP, 30:8702-8712, 2021. [doi]

Special Symbol Attacks On NLP SystemsBrian Formento, See-Kiong Ng, Chuan-Sheng Foo. ijcnn 2021: 1-8 [doi]

ARMOURED: Adversarially Robust MOdels using Unlabeled data by REgularizing DiversityKangkang Lu, Cuong Manh Nguyen, Xun Xu, Kiran Chari, Yu Jing Goh, Chuan-Sheng Foo. iclr 2021: [doi]

Semi-supervised classification of radiology images with NoTeacher: A teacher that is not meanBalagopal Unnikrishnan, Cuong Manh Nguyen, Shafa Balaram, Chao Li, Chuan-Sheng Foo, Pavitra Krishnaswamy. mia, 73:102148, 2021. [doi]

Validation Free and Replication Robust Volume-based Data ValuationXinyi Xu, Zhaoxuan Wu, Chuan-Sheng Foo, Bryan Kian Hsiang Low. nips 2021: 10837-10848 [doi]

Gradient Driven Rewards to Guarantee Fairness in Collaborative Machine LearningXinyi Xu, Lingjuan Lyu, Xingjun Ma, Chenglin Miao, Chuan-Sheng Foo, Bryan Kian Hsiang Low. nips 2021: 16104-16117 [doi]

On Automatic Data Augmentation for 3D Point Cloud ClassificationWanyue Zhang, Xun Xu, Fayao Liu, Le Zhang 0001, Chuan-Sheng Foo. bmvc 2021: 392 [doi]

2020

2019

TEA-DNN: the Quest for Time-Energy-Accuracy Co-optimized Deep Neural NetworksLile Cai, Anne-Maelle Barneche, Arthur Herbout, Chuan-Sheng Foo, Jie Lin, Vijay Ramaseshan Chandrasekhar, Mohamed M. Sabry Aly. islped 2019: 1-6 [doi]

MaxpoolNMS: Getting Rid of NMS Bottlenecks in Two-Stage Object DetectorsLile Cai, Bin Zhao, Zhe Wang, Jie Lin, Chuan-Sheng Foo, Mohamed M. Sabry Aly, Vijay Chandrasekhar 0001. cvpr 2018: 9356-9364 [doi]

Learning of Multi-Dimensional Analog Circuits Through Generative Adversarial Network (GAN)Rahul Dutta, Salahuddin Raju, Ashish James, Chemmanda John Leo, Yong-Joon Jeon, Balagopal Unnikrishnan, Chuan-Sheng Foo, Zeng Zeng, Kevin Tshun Chuan Chai, Vijay Ramaseshan Chandrasekhar. socc 2019: 394-399 [doi]

Semi-Supervised Audio Classification with Consistency-Based RegularizationKangkang Lu, Chuan-Sheng Foo, Kah Kuan Teh, Huy Dat Tran, Vijay Ramaseshan Chandrasekhar. interspeech 2019: 3654-3658 [doi]

Optimistic mirror descent in saddle-point problems: Going the extra (gradient) milePanayotis Mertikopoulos, Bruno Lecouat, Houssam Zenati, Chuan-Sheng Foo, Vijay Chandrasekhar 0001, Georgios Piliouras. iclr 2019: [doi]

Towards Practical Unsupervised Anomaly Detection on Retinal ImagesKhalil Ouardini, Huijuan Yang, Balagopal Unnikrishnan, Manon Romain, Camille Garcin, Houssam Zenati, J. Peter Campbell, Michael F. Chiang, Jayashree Kalpathy-Cramer, Vijay Chandrasekhar 0001, Pavitra Krishnaswamy, Chuan-Sheng Foo. miccai 2019: 225-234 [doi]

The Unusual Effectiveness of Averaging in GAN TrainingYasin Yazici, Chuan-Sheng Foo, Stefan Winkler 0001, Kim-Hui Yap, Georgios Piliouras, Vijay Chandrasekhar 0001. iclr 2019: [doi]

2018

Semi-Supervised Learning With GANs: Revisiting Manifold RegularizationBruno Lecouat, Chuan-Sheng Foo, Houssam Zenati, Vijay Ramaseshan Chandrasekhar. iclr 2018: [doi]

Adversarially Learned Anomaly DetectionHoussam Zenati, Manon Romain, Chuan-Sheng Foo, Bruno Lecouat, Vijay Chandrasekhar. icdm 2018: 727-736 [doi]

2017

Machine learning models for analyzing chromatin and RNA structure dataChuan-Sheng Foo. PhD thesis, Stanford University, USA, 2017. [doi]

2009

Proximal regularization for online and batch learningChuong B. Do, Quoc V. Le, Chuan-Sheng Foo. icml 2009: 33 [doi]

A majorization-minimization algorithm for (multiple) hyperparameter learningChuan-Sheng Foo, Chuong B. Do, Andrew Y. Ng. icml 2009: 41 [doi]

Searching for Rising Stars in Bibliography NetworksXiao-Li Li, Chuan-Sheng Foo, Kar Leong Tew, See-Kiong Ng. dasfaa 2009: 288-292 [doi]

2008

A max-margin model for efficient simultaneous alignment and folding of RNA sequencesChuong B. Do, Chuan-Sheng Foo, Serafim Batzoglou. ismb 2008: 68-76 [doi]

2007

Efficient multiple hyperparameter learning for log-linear modelsChuong B. Do, Chuan-Sheng Foo, Andrew Y. Ng. nips 2008: 377-384 [doi]

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