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Yatao Bian

Identifiers

  • name variant Yatao Bian 0.60 · backfill

Papers (47)

  1. Do LLMs Truly Generalize in the Molecular Domain? A Perturbation-Based Analysis cs.LG · 2026 · author #5
  2. Social Structure Matters in 3D Human-Human Interaction Generation cs.CV · 2026 · author #3
  3. Unified Energy for Invariant and Independent Decoding in Diffusion Language Models cs.CL · 2026 · author #4
  4. MolViBench: Evaluating LLMs on Molecular Vibe Coding cs.CL · 2026 · author #7
  5. A Survey of Reinforcement Learning for Large Language Models under Data Scarcity: Challenges and Solutions cs.LG · 2026 · author #11
  6. StoryBlender: Inter-Shot Consistent and Editable 3D Storyboard with Spatial-temporal Dynamics cs.CV · 2026 · author #7
  7. Energy-Guided Generative Modeling for Low-Energy Molecular Structure Discovery cs.LG · 2025 · author #5
  8. Question-Adaptive Graph Learning for Multi-hop Retrieval Augmented Generation cs.LG · 2025 · author #5
  9. Speak-to-Structure: Evaluating LLMs in Open-domain Natural Language-Driven Molecule Generation cs.CL · 2024 · author #6
  10. Learning Invariant Molecular Representation in Latent Discrete Space cs.LG · 2023 · author #4
  11. Beyond Factuality: A Comprehensive Evaluation of Large Language Models as Knowledge Generators cs.CL · 2023 · author #3
  12. SAILOR: Structural Augmentation Based Tail Node Representation Learning cs.LG · 2023 · author #5
  13. SyNDock: N Rigid Protein Docking via Learnable Group Synchronization q-bio.BM · 2023 · author #2
  14. Reweighted Mixup for Subpopulation Shift cs.LG · 2023 · author #6
  15. Fairness-guided Few-shot Prompting for Large Language Models cs.CL · 2023 · author #3
  16. Activity Cliff Prediction: Dataset and Benchmark q-bio.BM · 2023 · author #4
  17. Hierarchical Few-Shot Object Detection: Problem, Benchmark and Method cs.CV · 2022 · author #7
  18. UMIX: Improving Importance Weighting for Subpopulation Shift via Uncertainty-Aware Mixup cs.LG · 2022 · author #6
  19. ImDrug: A Benchmark for Deep Imbalanced Learning in AI-aided Drug Discovery cs.LG · 2022 · author #5
  20. Can Pre-trained Models Really Learn Better Molecular Representations for AI-aided Drug Discovery? q-bio.BM · 2022 · author #2
  21. Diversity Boosted Learning for Domain Generalization with Large Number of Domains cs.LG · 2022 · author #3
  22. Pareto Invariant Risk Minimization: Towards Mitigating the Optimization Dilemma in Out-of-Distribution Generalization cs.LG · 2022 · author #3
  23. A Survey of Trustworthy Graph Learning: Reliability, Explainability, and Privacy Protection cs.LG · 2022 · author #4
  24. DRFLM: Distributionally Robust Federated Learning with Inter-client Noise via Local Mixup cs.LG · 2022 · author #4
  25. Hypergraph Convolutional Networks via Equivalency between Hypergraphs and Undirected Graphs cs.LG · 2022 · author #7
  26. Fine-Tuning Graph Neural Networks via Graph Topology induced Optimal Transport cs.LG · 2022 · author #5
  27. Learning Neural Set Functions Under the Optimal Subset Oracle cs.LG · 2022 · author #6
  28. Transformer for Graphs: An Overview from Architecture Perspective cs.LG · 2022 · author #3
  29. Recent Advances in Reliable Deep Graph Learning: Inherent Noise, Distribution Shift, and Adversarial Attack cs.LG · 2022 · author #5
  30. Learning Causally Invariant Representations for Out-of-Distribution Generalization on Graphs cs.LG · 2022 · author #3
  31. Neighbour Interaction based Click-Through Rate Prediction via Graph-masked Transformer cs.IR · 2022 · author #4
  32. DrugOOD: Out-of-Distribution (OOD) Dataset Curator and Benchmark for AI-aided Drug Discovery -- A Focus on Affinity Prediction Problems with Noise Annotations cs.LG · 2022 · author #19
  33. Generalization Bounds for Stochastic Gradient Langevin Dynamics: A Unified View via Information Leakage Analysis cs.LG · 2021 · author #3
  34. Independent SE(3)-Equivariant Models for End-to-End Rigid Protein Docking cs.AI · 2021 · author #4
  35. $p$-Laplacian Based Graph Neural Networks cs.LG · 2021 · author #3
  36. Energy-Based Learning for Cooperative Games, with Applications to Valuation Problems in Machine Learning cs.LG · 2021 · author #1
  37. Recognizing Predictive Substructures with Subgraph Information Bottleneck cs.LG · 2021 · author #4
  38. Diversified Multiscale Graph Learning with Graph Self-Correction cs.LG · 2021 · author #2
  39. On Self-Distilling Graph Neural Network cs.LG · 2020 · author #2
  40. Graph Information Bottleneck for Subgraph Recognition cs.LG · 2020 · author #4
  41. Continuous Submodular Function Maximization cs.LG · 2020 · author #1
  42. Self-Supervised Graph Transformer on Large-Scale Molecular Data q-bio.BM · 2020 · author #2
  43. From Sets to Multisets: Provable Variational Inference for Probabilistic Integer Submodular Models cs.LG · 2020 · author #2
  44. Multi-View Graph Neural Networks for Molecular Property Prediction q-bio.QM · 2020 · author #2
  45. Model Selection for Gaussian Process Regression by Approximation Set Coding stat.ML · 2016 · author #4
  46. Greedy MAXCUT Algorithms and their Information Content cs.DS · 2016 · author #1
  47. Digitize Your Body and Action in 3-D at Over 10 FPS: Real Time Dense Voxel Reconstruction and Marker-less Motion Tracking via GPU Acceleration cs.GR · 2013 · author #2

Mentions

  • 2310.14170 #4 · arxiv_oai · confidence 0.70 Yatao Bian
  • 2310.07289 #3 · arxiv_oai · confidence 0.70 Yatao Bian
  • 2308.06801 #5 · arxiv_oai · confidence 0.70 Yatao Bian
  • 2305.15156 #2 · arxiv_oai · confidence 0.70 Yatao Bian
  • 2203.01693 #6 · arxiv_oai · confidence 0.70 Yatao Bian
  • 2202.07114 #5 · arxiv_oai · confidence 0.70 Yatao Bian
  • 2304.04148 #6 · arxiv_oai · confidence 0.70 Yatao Bian
  • 2303.13217 #3 · arxiv_oai · confidence 0.70 Yatao Bian
  • 2206.07766 #3 · arxiv_oai · confidence 0.70 Yatao Bian
  • 2302.07541 #4 · arxiv_oai · confidence 0.70 Yatao Bian
  • 2209.08928 #6 · arxiv_oai · confidence 0.70 Yatao Bian
  • 2209.07921 #5 · arxiv_oai · confidence 0.70 Yatao Bian
  • 2202.05441 #3 · arxiv_oai · confidence 0.70 Yatao Bian
  • 2210.03940 #7 · arxiv_oai · confidence 0.70 Yatao Bian
  • 2209.07423 #2 · arxiv_oai · confidence 0.70 Yatao Bian
  • 2207.13865 #3 · arxiv_oai · confidence 0.70 Yatao Bian
  • 2203.16939 #7 · arxiv_oai · confidence 0.70 Yatao Bian
  • 2201.13311 #4 · arxiv_oai · confidence 0.70 Yatao Bian
  • 2111.07337 #3 · arxiv_oai · confidence 0.70 Yatao Bian
  • 2205.10014 #4 · arxiv_oai · confidence 0.70 Yatao Bian
  • 2106.02938 #1 · arxiv_oai · confidence 0.70 Yatao Bian
  • 2203.10453 #5 · arxiv_oai · confidence 0.70 Yatao Bian
  • 2204.07742 #4 · arxiv_oai · confidence 0.70 Yatao Bian
  • 2111.07786 #4 · arxiv_oai · confidence 0.70 Yatao Bian
  • 2202.08455 #3 · arxiv_oai · confidence 0.70 Yatao Bian
  • 2201.09637 #19 · arxiv_oai · confidence 0.70 Yatao Bian
  • 2112.08439 #3 · arxiv_oai · confidence 0.70 Yatao Bian
  • 2011.02255 #2 · arxiv_oai · confidence 0.70 Yatao Bian
  • 2103.11155 #4 · arxiv_oai · confidence 0.70 Yatao Bian
  • 2103.09754 #2 · arxiv_oai · confidence 0.70 Yatao Bian
  • 2007.02835 #2 · arxiv_oai · confidence 0.70 Yatao Bian
  • 2010.05563 #4 · arxiv_oai · confidence 0.70 Yatao Bian
  • 2006.13474 #1 · arxiv_oai · confidence 0.70 Yatao Bian
  • 2005.13607 #2 · arxiv_oai · confidence 0.70 Yatao Bian
  • 2006.01293 #2 · arxiv_oai · confidence 0.70 Yatao Bian
  • 1610.00907 #4 · arxiv_oai · confidence 0.70 Yatao Bian
  • 1609.00810 #1 · arxiv_oai · confidence 0.70 Yatao Bian
  • 1311.6811 #2 · arxiv_oai · confidence 0.70 Yatao Bian
  • 2607.01800 #5 · arxiv_oai · confidence 0.70 Yatao Bian
  • 2606.24255 #3 · arxiv_oai · confidence 0.70 Yatao Bian
  • 2606.09159 #4 · arxiv_oai · confidence 0.70 Yatao Bian
  • 1311.6811 #2 · backfill · confidence 0.70 Yatao Bian
  • 2512.22597 #5 · arxiv_oai · confidence 0.70 Yatao Bian
  • 2412.14642 #6 · arxiv_oai · confidence 0.70 Yatao Bian

Frequent Coauthors