Chuan-Sheng Foo

28 papers · 2007–2025 · 11 venues · across top CS/AI venues

Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.

Achievements

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🗺️ Taxonomy Completionist (61) 🏃 Academic Marathon · Full 🌍 Conference Polyglot · Gold 🌉 Interdisciplinary Bridge · Silver 🐣 Hot Topic Early Bird

👑 Triple Crown 🧭 Keyword Pioneer 🌈 Renaissance Researcher (6) 🔥 Unstoppable · Bronze ❓ The Questioner ⚡ Prolific Year · Prolific 💎 Century Club · Bronze 📈 Trend Setter 🗃️ Keyword Collector (152)

Venues

ICLR (9) ICML (5) CVPR (3) NeurIPS (3) ICCV (2) ACL (1) EMNLP (1) IJCAI (1) Interspeech (1) NAACL (1) WACV (1)

Top co-authors

Bryan Kian Hsiang Low (9) Fayao Liu (5) See-Kiong Ng (4) Wenyu Zhang (3) Xun Xu (3) Guosheng Lin (3) Xulei Yang (3) Jingtan Wang (3) Chuan Sheng Foo (3) Xiaoqiang Lin (3)

Research topics

Machine Learning (23) Artificial Intelligence (18) Learning Types · Machine Learning (15) Core AI (12) Deep Learning (9) Application Areas (9) Optimization & Theory (7) Computer Vision (5) Natural Language Processing (5) Analysis (5) Learning Paradigms (4) Learning Types · Deep Learning (4) Models (4) Resources & Methods (4) Bayesian & Probabilistic (2)

Keywords

large language model (4) adversarial robustness (3) semi-supervised learning (2) diffusion model (2) few-shot learning (2) test-time adaptation (2) unsupervised domain adaptation (2) knowledge distillation (2) bayesian optimization (2) adversarial attack (2) pretrained network (2) intellectual property (2) generative adversarial network (2) transfer learning (2) domain adaptation (2) domain generalization (1) adversarial learning (1) data poisoning (1) model security (1) sample efficiency (1)

Papers

Broaden your SCOPE! Efficient Multi-turn Conversation Planning for LLMs with Semantic Space 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 Evidential Learning-based Certainty Estimation for Robust Dense Feature Matching ICLR 2025 FIND: Few-Shot Anomaly Inspection with Normal-Only Multi-Modal Data ICCV 2025 NICE Data Selection for Instruction Tuning in LLMs with Non-differentiable Evaluation Metric ICML 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 WASA: WAtermark-based Source Attribution for Large Language Model-Generated Data ACL 2025 A Unified Framework for Bayesian Optimization under Contextual Uncertainty ICLR 2024 Data Distribution Valuation NeurIPS 2024 Helpful or Harmful Data? Fine-tuning-free Shapley Attribution for Explaining Language Model Predictions ICML 2024 PromptAD: Zero-Shot Anomaly Detection Using Text Prompts WACV 2024 Pseudo-Calibration: Improving Predictive Uncertainty Estimation in Unsupervised Domain Adaptation ICML 2024 Sculpt3D: Multi-View Consistent Text-to-3D Generation with Sparse 3D Prior CVPR 2024 SemRoDe: Macro Adversarial Training to Learn Representations that are Robust to Word-Level Attacks NAACL 2024 Towards AutoAI: Optimizing a Machine Learning System with Black-box and Differentiable Components ICML 2024 Towards Reliable Model Selection for Unsupervised Domain Adaptation: An Empirical Study and A Certified Baseline NeurIPS 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 Fair yet Asymptotically Equal Collaborative Learning ICML 2023 Rethinking the Role of Pre-Trained Networks in Source-Free Domain Adaptation ICCV 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 Optimistic mirror descent in saddle-point problems: Going the extra (gradient) mile ICLR 2019 Semi-Supervised Audio Classification with Consistency-Based Regularization Interspeech 2019 The Unusual Effectiveness of Averaging in GAN Training ICLR 2019 Efficient multiple hyperparameter learning for log-linear models NeurIPS 2007