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Conferences
Chuan-Sheng Foo
24 papers at tracked venues · 21 at CORE A* · active 2024–2025
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ORCID 0000-0002-4748-5792 ↗
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Venues
ICLR
×6
CVPR
×5
ICML
×4
NeurIPS
×3
AAAI
×1
ACL
×1
ECCV
×1
EMNLP
×1
ICCV
×1
NAACL
×1
Frequent coauthors
Kennard Yanting Chan
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×4
Zhiliang Chen
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×2
Cheng Chen
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×2
Brian Formento
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×2
Jingtan Wang
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×2
Dapeng Hu
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×2
Lile Cai
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×1
Yiting Li
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×1
Jiangwei Chen
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×1
Yongyi Su
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×1
Xinyang Lu
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×1
Sebastian Shenghong Tay
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×1
Papers
Broaden your SCOPE! Efficient Multi-turn Conversation Planning for LLMs with Semantic Space
ICLR 2025
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Zhiliang Chen
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CADCrafter: Generating Computer-Aided Design Models from Unconstrained Images
CVPR 2025
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Cheng Chen
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Confidence Elicitation: A New Attack Vector for Large Language Models
ICLR 2025
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Brian Formento
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Evidential Learning-based Certainty Estimation for Robust Dense Feature Matching
ICLR 2025
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Lile Cai
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FIND: Few-Shot Anomaly Inspection with Normal-Only Multi-Modal Data
ICCV 2025
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Yiting Li
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Incentivizing Time-Aware Fairness in Data Sharing
NeurIPS 2025
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Jiangwei Chen
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NICE Data Selection for Instruction Tuning in LLMs with Non-differentiable Evaluation Metric
ICML 2025
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Jingtan Wang
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On the Adversarial Risk of Test Time Adaptation: An Investigation into Realistic Test-Time Data Poisoning
ICLR 2025
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Yongyi Su
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Robust-PIFu: Robust Pixel-aligned Implicit Function for 3D Human Digitalization from a Single Image
ICLR 2025
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Kennard Yanting Chan
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WASA: WAtermark-based Source Attribution for Large Language Model-Generated Data
ACL 2025
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Xinyang Lu
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3DFG-PIFu: 3D Feature Grids for Human Digitization from Sparse Views
ECCV 2024
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Kennard Yanting Chan
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A Unified Framework for Bayesian Optimization under Contextual Uncertainty
ICLR 2024
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Sebastian Shenghong Tay
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Data Distribution Valuation
NeurIPS 2024
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Xinyi Xu
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Fine Structure-Aware Sampling: A New Sampling Training Scheme for Pixel-Aligned Implicit Models in Single-View Human Reconstruction
AAAI 2024
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Kennard Yanting Chan
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Helpful or Harmful Data? Fine-tuning-free Shapley Attribution for Explaining Language Model Predictions
ICML 2024
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Jingtan Wang
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Pseudo-Calibration: Improving Predictive Uncertainty Estimation in Unsupervised Domain Adaptation
ICML 2024
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Dapeng Hu
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R-Cyclic Diffuser: Reductive and Cyclic Latent Diffusion for 3D Clothed Human Digitalization
CVPR 2024
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Kennard Yanting Chan
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REACTO: Reconstructing Articulated Objects from a Single Video
CVPR 2024
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Chaoyue Song
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Sculpt3D: Multi-View Consistent Text-to-3D Generation with Sparse 3D Prior
CVPR 2024
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Cheng Chen
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SemRoDe: Macro Adversarial Training to Learn Representations that are Robust to Word-Level Attacks
NAACL 2024
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Brian Formento
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Towards AutoAI: Optimizing a Machine Learning System with Black-box and Differentiable Components
ICML 2024
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Zhiliang Chen
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Towards Reliable Model Selection for Unsupervised Domain Adaptation: An Empirical Study and A Certified Baseline
NeurIPS 2024
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Dapeng Hu
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Universal Semi-Supervised Domain Adaptation by Mitigating Common-Class Bias
CVPR 2024
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Wenyu Zhang
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Waterfall: Scalable Framework for Robust Text Watermarking and Provenance for LLMs
EMNLP 2024
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Gregory Kang Ruey Lau
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