PPaperPicks

Chuan-Sheng Foo

24 papers at tracked venues · 21 at CORE A* · active 20242025

Venues

Frequent coauthors

Papers

  1. Broaden your SCOPE! Efficient Multi-turn Conversation Planning for LLMs with Semantic Space
  2. CADCrafter: Generating Computer-Aided Design Models from Unconstrained Images
  3. Confidence Elicitation: A New Attack Vector for Large Language Models
  4. Evidential Learning-based Certainty Estimation for Robust Dense Feature Matching
  5. FIND: Few-Shot Anomaly Inspection with Normal-Only Multi-Modal Data
  6. Incentivizing Time-Aware Fairness in Data Sharing
  7. NICE Data Selection for Instruction Tuning in LLMs with Non-differentiable Evaluation Metric
  8. On the Adversarial Risk of Test Time Adaptation: An Investigation into Realistic Test-Time Data Poisoning
  9. Robust-PIFu: Robust Pixel-aligned Implicit Function for 3D Human Digitalization from a Single Image
  10. WASA: WAtermark-based Source Attribution for Large Language Model-Generated Data
  11. 3DFG-PIFu: 3D Feature Grids for Human Digitization from Sparse Views
  12. A Unified Framework for Bayesian Optimization under Contextual Uncertainty
  13. Data Distribution Valuation
  14. Fine Structure-Aware Sampling: A New Sampling Training Scheme for Pixel-Aligned Implicit Models in Single-View Human Reconstruction
  15. Helpful or Harmful Data? Fine-tuning-free Shapley Attribution for Explaining Language Model Predictions
  16. Pseudo-Calibration: Improving Predictive Uncertainty Estimation in Unsupervised Domain Adaptation
  17. R-Cyclic Diffuser: Reductive and Cyclic Latent Diffusion for 3D Clothed Human Digitalization
  18. REACTO: Reconstructing Articulated Objects from a Single Video
  19. Sculpt3D: Multi-View Consistent Text-to-3D Generation with Sparse 3D Prior
  20. SemRoDe: Macro Adversarial Training to Learn Representations that are Robust to Word-Level Attacks
  21. Towards AutoAI: Optimizing a Machine Learning System with Black-box and Differentiable Components
  22. Towards Reliable Model Selection for Unsupervised Domain Adaptation: An Empirical Study and A Certified Baseline
  23. Universal Semi-Supervised Domain Adaptation by Mitigating Common-Class Bias
  24. Waterfall: Scalable Framework for Robust Text Watermarking and Provenance for LLMs