PPaperPicks

Cheng Tan

Westlake University, AI Lab, School of Engineering, Hangzhou, China

35 papers at tracked venues · 32 at CORE A* · active 20242025

Venues

Frequent coauthors

Papers

  1. AlphaFold Database Debiasing for Robust Inverse Folding
    NeurIPS 2025 · Cheng Tan
  2. CBGBench: Fill in the Blank of Protein-Molecule Complex Binding Graph
  3. DaCapo: Score Distillation as Stacked Bridge for Fast and High-quality 3D Editing
  4. EVA: Geometric Inverse Design for Fast Protein Motif-Scaffolding with Coupled Flow
  5. FoldToken: Learning Protein Language via Vector Quantization and Beyond
  6. From Words to Structured Visuals: A Benchmark and Framework for Text-to-Diagram Generation and Editing
  7. MeToken: Uniform Micro-environment Token Boosts Post-Translational Modification Prediction
    ICLR 2025 · Cheng Tan
  8. MergeVQ: A Unified Framework for Visual Generation and Representation with Disentangled Token Merging and Quantization
  9. ProtInvTree: Deliberate Protein Inverse Folding with Reward-guided Tree Search
  10. ReNovo: Retrieval-Based \emph{De Novo} Mass Spectrometry Peptide Sequencing
  11. Relation-Aware Equivariant Graph Networks for Epitope-Unknown Antibody Design and Specificity Optimization
  12. ResearchPulse: Building Method-Experiment Chains through Multi-Document Scientific Inference
  13. SketchAgent: Generating Structured Diagrams from Hand-Drawn Sketches
    IJCAI 2025 · Cheng Tan
  14. dyAb: Flow Matching for Flexible Antibody Design with AlphaFold-driven Pre-binding Antigen
    AAAI 2025 · Cheng Tan
  15. A Graph is Worth K Words: Euclideanizing Graph using Pure Transformer
  16. AdaNovo: Towards Robust \emph{De Novo} Peptide Sequencing in Proteomics against Data Biases
  17. Boosting the Power of Small Multimodal Reasoning Models to Match Larger Models with Self-consistency Training
    ECCV 2024 · Cheng Tan
  18. Cross-Gate MLP with Protein Complex Invariant Embedding Is a One-Shot Antibody Designer
    AAAI 2024 · Cheng Tan
  19. Deciphering RNA Secondary Structure Prediction: A Probabilistic K-Rook Matching Perspective
    ICML 2024 · Cheng Tan
  20. Decoupling Weighing and Selecting for Integrating Multiple Graph Pre-training Tasks
  21. FlexMol: A Flexible Toolkit for Benchmarking Molecular Relational Learning
  22. General Point Model Pretraining with Autoencoding and Autoregressive
  23. Interpretable and Generalizable Spatiotemporal Predictive Learning with Disentangled Consistency
  24. KW-Design: Pushing the Limit of Protein Design via Knowledge Refinement
  25. Learning Complete Protein Representation by Dynamically Coupling of Sequence and Structure
  26. MLIP: Enhancing Medical Visual Representation with Divergence Encoder and Knowledge-guided Contrastive Learning
  27. MogaNet: Multi-order Gated Aggregation Network
  28. PSC-CPI: Multi-Scale Protein Sequence-Structure Contrasting for Efficient and Generalizable Compound-Protein Interaction Prediction
  29. ProtGO: Function-Guided Protein Modeling for Unified Representation Learning
  30. RDesign: Hierarchical Data-efficient Representation Learning for Tertiary Structure-based RNA Design
    ICLR 2024 · Cheng Tan
  31. Re-Dock: Towards Flexible and Realistic Molecular Docking with Diffusion Bridge
  32. SemiReward: A General Reward Model for Semi-supervised Learning
  33. UniIF: Unified Molecule Inverse Folding
  34. VQDNA: Unleashing the Power of Vector Quantization for Multi-Species Genomic Sequence Modeling
  35. Wavelet-Driven Spatiotemporal Predictive Learning: Bridging Frequency and Time Variations