Chuan-Sheng Foo
28 papers · 2007–2025 · 11 conferences · across top CS/AI conferences
Achievements
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π Academic Marathon (18) π Conference Polyglot (11) π Interdisciplinary Bridge π§ Keyword Pioneer π Cross-Pollinator (14)
π
Cross-Pollinator
(14)
π
Renaissance Researcher
(7)
πΊοΈ
Taxonomy Completionist
(52)
π
Triple Crown
β‘
Prolific Year
(9)
π₯
Unstoppable
(5)
β
The Questioner
π
Century Club
(28)
ποΈ
Keyword Collector
(89)
π
Trend Setter
Conferences
ICLR (9)
ICML (5)
CVPR (3)
NIPS (3)
ICCV (2)
ACL (1)
EMNLP (1)
IJCAI (1)
INTERSPEECH (1)
NAACL (1)
WACV (1)
Top co-authors
Keywords
intellectual property
(2)
large language model
(2)
knowledge distillation
(2)
few-shot learning
(2)
pre-trained network
(2)
transfer learning
(2)
model selection
(1)
structured prediction
(1)
contrastive learning
(1)
anomaly detection
(1)
domain adaptation
(1)
hyperparameter learning
(1)
sparse representation
(1)
hyperparameter optimization
(1)
semi-supervised learning
(1)
batch normalization
(1)
direct preference optimization
(1)
gradient-based optimization
(1)
source-free domain adaptation
(1)
domain generalization
(1)
Papers
FIND: Few-Shot Anomaly Inspection with Normal-Only Multi-Modal Data
ICCV 2025
On the Adversarial Risk of Test Time Adaptation: An Investigation into Realistic Test-Time Data Poisoning
ICLR 2025
Robust-PIFu: Robust Pixel-aligned Implicit Function for 3D Human Digitalization from a Single Image
ICLR 2025
Evidential Learning-based Certainty Estimation for Robust Dense Feature Matching
ICLR 2025
CADCrafter: Generating Computer-Aided Design Models from Unconstrained Images
CVPR 2025
Confidence Elicitation: A New Attack Vector for Large Language Models
ICLR 2025
Broaden your SCOPE! Efficient Multi-turn Conversation Planning for LLMs with Semantic Space
ICLR 2025
WASA: WAtermark-based Source Attribution for Large Language Model-Generated Data
ACL 2025
NICE Data Selection for Instruction Tuning in LLMs with Non-differentiable Evaluation Metric
ICML 2025
PromptAD: Zero-Shot Anomaly Detection Using Text Prompts
WACV 2024
Data Distribution Valuation
NIPS 2024
Towards Reliable Model Selection for Unsupervised Domain Adaptation: An Empirical Study and A Certified Baseline
NIPS 2024
Sculpt3D: Multi-View Consistent Text-to-3D Generation with Sparse 3D Prior
CVPR 2024
Universal Semi-Supervised Domain Adaptation by Mitigating Common-Class Bias
CVPR 2024
Waterfall: Scalable Framework for Robust Text Watermarking and Provenance for LLMs
EMNLP 2024
A Unified Framework for Bayesian Optimization under Contextual Uncertainty
ICLR 2024
Towards AutoAI: Optimizing a Machine Learning System with Black-box and Differentiable Components
ICML 2024
Pseudo-Calibration: Improving Predictive Uncertainty Estimation in Unsupervised Domain Adaptation
ICML 2024
Helpful or Harmful Data? Fine-tuning-free Shapley Attribution for Explaining Language Model Predictions
ICML 2024
SemRoDe: Macro Adversarial Training to Learn Representations that are Robust to Word-Level Attacks
NAACL 2024
Rethinking the Role of Pre-Trained Networks in Source-Free Domain Adaptation
ICCV 2023
Fair yet Asymptotically Equal Collaborative Learning
ICML 2023
Few-Shot Adaptation of Pre-Trained Networks for Domain Shift
IJCAI 2022
ARMOURED: Adversarially Robust MOdels using Unlabeled data by REgularizing Diversity
ICLR 2021
The Unusual Effectiveness of Averaging in GAN Training
ICLR 2019
Optimistic mirror descent in saddle-point problems: Going the extra (gradient) mile
ICLR 2019
Semi-Supervised Audio Classification with Consistency-Based Regularization
INTERSPEECH 2019
Efficient multiple hyperparameter learning for log-linear models
NIPS 2007