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Chuan-Sheng Foo
24 papers at tracked venues · 21 at CORE A* · active 2024–2025
DBLP profile ↗
ORCID 0000-0002-4748-5792 ↗
Homepage ↗
Venues
ICLR
×6
CVPR
×5
ICML
×4
NeurIPS
×3
AAAI
×1
ACL
×1
ECCV
×1
EMNLP
×1
ICCV
×1
NAACL
×1
Frequent coauthors
Bryan Kian Hsiang Low
×9
Fayao Liu
×8
Guosheng Lin
×7
Kennard Yanting Chan
×4
Weisi Lin
×4
See-Kiong Ng
×3
Xulei Yang
×3
Jingtan Wang
×3
Zhiliang Chen
×2
Xinyuan Niu
×2
Cheng Chen
×2
Jiacheng Wei
×2
Papers
Broaden your SCOPE! Efficient Multi-turn Conversation Planning for LLMs with Semantic Space
BibTeX ⧉
ICLR 2025
·
Zhiliang Chen
,
Xinyuan Niu
,
Chuan-Sheng Foo
,
Bryan Kian Hsiang Low
CADCrafter: Generating Computer-Aided Design Models from Unconstrained Images
BibTeX ⧉
CVPR 2025
·
Cheng Chen
,
Jiacheng Wei
,
Tianrun Chen
,
Chi Zhang
,
Xiaofeng Yang
,
Shangzhan Zhang
,
Bingchen Yang
,
Chuan-Sheng Foo
,
Guosheng Lin
,
Qixing Huang
,
Fayao Liu
Confidence Elicitation: A New Attack Vector for Large Language Models
BibTeX ⧉
ICLR 2025
·
Brian Formento
,
Chuan-Sheng Foo
,
See-Kiong Ng
Evidential Learning-based Certainty Estimation for Robust Dense Feature Matching
BibTeX ⧉
ICLR 2025
·
Lile Cai
,
Chuan-Sheng Foo
,
Xun Xu
,
Zaiwang Gu
,
Jun Cheng
,
Xulei Yang
FIND: Few-Shot Anomaly Inspection with Normal-Only Multi-Modal Data
BibTeX ⧉
ICCV 2025
·
Yiting Li
,
Fayao Liu
,
Jingyi Liao
,
Sichao Tian
,
Chuan-Sheng Foo
,
Xulei Yang
Incentivizing Time-Aware Fairness in Data Sharing
BibTeX ⧉
NeurIPS 2025
·
Jiangwei Chen
,
Kieu Thao Nguyen Pham
,
Rachael Hwee Ling Sim
,
Arun Verma
,
Zhaoxuan Wu
,
Chuan Sheng Foo
,
Bryan Kian Hsiang Low
NICE Data Selection for Instruction Tuning in LLMs with Non-differentiable Evaluation Metric
BibTeX ⧉
ICML 2025
·
Jingtan Wang
,
Xiaoqiang Lin
,
Rui Qiao
,
Pang Wei Koh
,
Chuan-Sheng Foo
,
Bryan Kian Hsiang Low
On the Adversarial Risk of Test Time Adaptation: An Investigation into Realistic Test-Time Data Poisoning
BibTeX ⧉
ICLR 2025
·
Yongyi Su
,
Yushu Li
,
Nanqing Liu
,
Kui Jia
,
Xulei Yang
,
Chuan-Sheng Foo
,
Xun Xu
Robust-PIFu: Robust Pixel-aligned Implicit Function for 3D Human Digitalization from a Single Image
BibTeX ⧉
ICLR 2025
·
Kennard Yanting Chan
,
Fayao Liu
,
Guosheng Lin
,
Chuan-Sheng Foo
,
Weisi Lin
WASA: WAtermark-based Source Attribution for Large Language Model-Generated Data
BibTeX ⧉
ACL 2025
·
Xinyang Lu
,
Jingtan Wang
,
Zitong Zhao
,
Zhongxiang Dai
,
Chuan-Sheng Foo
,
See-Kiong Ng
,
Bryan Kian Hsiang Low
3DFG-PIFu: 3D Feature Grids for Human Digitization from Sparse Views
BibTeX ⧉
ECCV 2024
·
Kennard Yanting Chan
,
Fayao Liu
,
Guosheng Lin
,
Chuan Sheng Foo
,
Weisi Lin
A Unified Framework for Bayesian Optimization under Contextual Uncertainty
BibTeX ⧉
ICLR 2024
·
Sebastian Shenghong Tay
,
Chuan-Sheng Foo
,
Daisuke Urano
,
Richalynn Leong
,
Bryan Kian Hsiang Low
Data Distribution Valuation
BibTeX ⧉
NeurIPS 2024
·
Xinyi Xu
,
Shuaiqi Wang
,
Chuan Sheng Foo
,
Bryan Kian Hsiang Low
,
Giulia Fanti
Fine Structure-Aware Sampling: A New Sampling Training Scheme for Pixel-Aligned Implicit Models in Single-View Human Reconstruction
BibTeX ⧉
AAAI 2024
·
Kennard Yanting Chan
,
Fayao Liu
,
Guosheng Lin
,
Chuan Sheng Foo
,
Weisi Lin
Helpful or Harmful Data? Fine-tuning-free Shapley Attribution for Explaining Language Model Predictions
BibTeX ⧉
ICML 2024
·
Jingtan Wang
,
Xiaoqiang Lin
,
Rui Qiao
,
Chuan-Sheng Foo
,
Bryan Kian Hsiang Low
Pseudo-Calibration: Improving Predictive Uncertainty Estimation in Unsupervised Domain Adaptation
BibTeX ⧉
ICML 2024
·
Dapeng Hu
,
Jian Liang
,
Xinchao Wang
,
Chuan-Sheng Foo
R-Cyclic Diffuser: Reductive and Cyclic Latent Diffusion for 3D Clothed Human Digitalization
BibTeX ⧉
CVPR 2024
·
Kennard Yanting Chan
,
Fayao Liu
,
Guosheng Lin
,
Chuan Sheng Foo
,
Weisi Lin
REACTO: Reconstructing Articulated Objects from a Single Video
BibTeX ⧉
CVPR 2024
·
Chaoyue Song
,
Jiacheng Wei
,
Chuan Sheng Foo
,
Guosheng Lin
,
Fayao Liu
Sculpt3D: Multi-View Consistent Text-to-3D Generation with Sparse 3D Prior
BibTeX ⧉
CVPR 2024
·
Cheng Chen
,
Xiaofeng Yang
,
Fan Yang
,
Chengzeng Feng
,
Zhoujie Fu
,
Chuan-Sheng Foo
,
Guosheng Lin
,
Fayao Liu
SemRoDe: Macro Adversarial Training to Learn Representations that are Robust to Word-Level Attacks
BibTeX ⧉
NAACL 2024
·
Brian Formento
,
Wenjie Feng
,
Chuan-Sheng Foo
,
Anh Tuan Luu
,
See-Kiong Ng
Towards AutoAI: Optimizing a Machine Learning System with Black-box and Differentiable Components
BibTeX ⧉
ICML 2024
·
Zhiliang Chen
,
Chuan-Sheng Foo
,
Bryan Kian Hsiang Low
Towards Reliable Model Selection for Unsupervised Domain Adaptation: An Empirical Study and A Certified Baseline
BibTeX ⧉
NeurIPS 2024
·
Dapeng Hu
,
Romy Luo
,
Jian Liang
,
Chuan Sheng Foo
Universal Semi-Supervised Domain Adaptation by Mitigating Common-Class Bias
BibTeX ⧉
CVPR 2024
·
Wenyu Zhang
,
Qingmu Liu
,
Felix Ong Wei Cong
,
Mohamed Ragab
,
Chuan-Sheng Foo
Waterfall: Scalable Framework for Robust Text Watermarking and Provenance for LLMs
BibTeX ⧉
EMNLP 2024
·
Gregory Kang Ruey Lau
,
Xinyuan Niu
,
Hieu Dao
,
Jiangwei Chen
,
Chuan-Sheng Foo
,
Bryan Kian Hsiang Low