PPaperPicks

Stan Z. Li

Chinese Academy of Sciences, Institute of Automation, Beijing, China

58 papers at tracked venues · 50 at CORE A* · active 2024–2026

DBLP profile ↗ORCID 0000-0002-2961-8096 ↗Google Scholar ↗Homepage ↗

Venues

ICLR ×12AAAI ×11NeurIPS ×11ICML ×10IJCAI ×4CVPR ×2ACM MM ×1CIKM ×1ECCV ×1ECML-PKDD ×1EMNLP ×1ICCV ×1ICDE ×1WWW ×1

Frequent coauthors

Cheng Tan
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Lirong Wu
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Siyuan Li
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Jun Xia
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Zhangyang Gao
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Fang Wu
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Jingbo Zhou
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Haitao Lin
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Yufei Huang
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Changxi Chi
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Zhe Li
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Bozhen Hu
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Papers

  1. Departures: Distributional Transport for Single-Cell Perturbation Prediction with Neural Schrödinger Bridges
    AAAI 2026 ·
    Changxi Chi
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  2. Learning Cell-Aware Hierarchical Multi-Modal Representations for Robust Molecular Modeling
    AAAI 2026 ·
    Mengran Li
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  3. MergeDNA: Context-Aware Genome Modeling with Dynamic Tokenization Through Token Merging
    AAAI 2026 ·
    Siyuan Li
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  4. VecFormer: Towards Efficient and Generalizable Graph Transformer with Graph Token Attention
    WWW 2026 ·
    Jingbo Zhou
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  5. A Comprehensive and Systematic Review for Deep Learning-Based De Novo Peptide Sequencing
    IJCAI 2025 ·
    Jun Xia
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  6. A Simple yet Effective ΔΔG Predictor is An Unsupervised Antibody Optimizer and Explainer
    ICLR 2025 ·
    Lirong Wu
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  7. AlphaFold Database Debiasing for Robust Inverse Folding
    NeurIPS 2025 ·
    Cheng Tan
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  8. Bridging the Gap between Database Search and De Novo Peptide Sequencing with SearchNovo
    ICLR 2025 ·
    Jun Xia
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  9. CBGBench: Fill in the Blank of Protein-Molecule Complex Binding Graph
    ICLR 2025 ·
    Haitao Lin
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  10. EVA: Geometric Inverse Design for Fast Protein Motif-Scaffolding with Coupled Flow
    ICLR 2025 ·
    Yufei Huang
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  11. FoldToken: Learning Protein Language via Vector Quantization and Beyond
    AAAI 2025 ·
    Zhangyang Gao
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  12. G2PDiffusion: Cross-Species Genotype-to-Phenotype Prediction Via Evolutionary Diffusion
    ICCV 2025 ·
    Mengdi Liu
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  13. GRAPE: Heterogeneous Graph Representation Learning for Genetic Perturbation with Coding and Non-Coding Biotype
    IJCAI 2025 ·
    Changxi Chi
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  14. Generalized Implicit Neural Representations for Dynamic Molecular Surface Modeling
    AAAI 2025 ·
    Fang Wu
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  15. MeToken: Uniform Micro-environment Token Boosts Post-Translational Modification Prediction
    ICLR 2025 ·
    Cheng Tan
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  16. PRING: Rethinking Protein-Protein Interaction Prediction from Pairs to Graphs
    NeurIPS 2025 ·
    Xinzhe Zheng
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  17. ReNovo: Retrieval-Based \emph{De Novo} Mass Spectrometry Peptide Sequencing
    ICLR 2025 ·
    Shaorong Chen
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  18. Relation-Aware Equivariant Graph Networks for Epitope-Unknown Antibody Design and Specificity Optimization
    AAAI 2025 ·
    Lirong Wu
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  19. SketchAgent: Generating Structured Diagrams from Hand-Drawn Sketches
    IJCAI 2025 ·
    Cheng Tan
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  20. dyAb: Flow Matching for Flexible Antibody Design with AlphaFold-driven Pre-binding Antigen
    AAAI 2025 ·
    Cheng Tan
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  21. A Graph is Worth K Words: Euclideanizing Graph using Pure Transformer
    ICML 2024 ·
    Zhangyang Gao
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  22. AdaNovo: Towards Robust \emph{De Novo} Peptide Sequencing in Proteomics against Data Biases
    NeurIPS 2024 ·
    Jun Xia
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  23. Boosting the Power of Small Multimodal Reasoning Models to Match Larger Models with Self-consistency Training
    ECCV 2024 ·
    Cheng Tan
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  24. Cross-Gate MLP with Protein Complex Invariant Embedding Is a One-Shot Antibody Designer
    AAAI 2024 ·
    Cheng Tan
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  25. Deciphering RNA Secondary Structure Prediction: A Probabilistic K-Rook Matching Perspective
    ICML 2024 ·
    Cheng Tan
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  26. Decoupling Weighing and Selecting for Integrating Multiple Graph Pre-training Tasks
    ICLR 2024 ·
    Tianyu Fan
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  27. Deep Graph Neural Networks via Posteriori-Sampling-based Node-Adaptative Residual Module
    NeurIPS 2024 ·
    Jingbo Zhou
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  28. DiffAug: Enhance Unsupervised Contrastive Learning with Domain-Knowledge-Free Diffusion-based Data Augmentation
    ICML 2024 ·
    Zelin Zang
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  29. DiscoGNN: A Sample-Efficient Framework for Self-Supervised Graph Representation Learning
    ICDE 2024 ·
    Jun Xia
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  30. FlexMol: A Flexible Toolkit for Benchmarking Molecular Relational Learning
    NeurIPS 2024 ·
    Sizhe Liu
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  31. General Point Model Pretraining with Autoencoding and Autoregressive
    CVPR 2024 ·
    Zhe Li
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  32. GeoAB: Towards Realistic Antibody Design and Reliable Affinity Maturation
    ICML 2024 ·
    Haitao Lin
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  33. InsertGNN: A Hierarchical Graph Neural Network for the TOEFL Sentence Insertion Problem
    EMNLP 2024 ·
    Fang Wu
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  34. Instructor-inspired Machine Learning for Robust Molecular Property Prediction
    NeurIPS 2024 ·
    Fang Wu
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  35. Interpretable and Generalizable Spatiotemporal Predictive Learning with Disentangled Consistency
    ECML-PKDD 2024 ·
    Jingxuan Wei
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  36. KW-Design: Pushing the Limit of Protein Design via Knowledge Refinement
    ICLR 2024 ·
    Zhangyang Gao
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  37. Learning Complete Protein Representation by Dynamically Coupling of Sequence and Structure
    NeurIPS 2024 ·
    Bozhen Hu
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  38. Learning to Predict Mutational Effects of Protein-Protein Interactions by Microenvironment-aware Hierarchical Prompt Learning
    ICML 2024 ·
    Lirong Wu
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  39. LongVQ: Long Sequence Modeling with Vector Quantization on Structured Memory
    IJCAI 2024 ·
    Zicheng Liu
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  40. MAPE-PPI: Towards Effective and Efficient Protein-Protein Interaction Prediction via Microenvironment-Aware Protein Embedding
    ICLR 2024 ·
    Lirong Wu
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  41. MLIP: Enhancing Medical Visual Representation with Divergence Encoder and Knowledge-guided Contrastive Learning
    CVPR 2024 ·
    Zhe Li
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  42. MetaEnzyme: Meta Pan-Enzyme Learning for Task-Adaptive Redesign
    ACM MM 2024 ·
    Jiangbin Zheng
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  43. MogaNet: Multi-order Gated Aggregation Network
    ICLR 2024 ·
    Siyuan Li
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  44. NovoBench: Benchmarking Deep Learning-based \emph{De Novo} Sequencing Methods in Proteomics
    NeurIPS 2024 ·
    Jingbo Zhou
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  45. PPFLOW: Target-Aware Peptide Design with Torsional Flow Matching
    ICML 2024 ·
    Haitao Lin
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  46. PSC-CPI: Multi-Scale Protein Sequence-Structure Contrasting for Efficient and Generalizable Compound-Protein Interaction Prediction
    AAAI 2024 ·
    Lirong Wu
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  47. PhyloGen: Language Model-Enhanced Phylogenetic Inference via Graph Structure Generation
    NeurIPS 2024 ·
    Chenrui Duan
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  48. ProtGO: Function-Guided Protein Modeling for Unified Representation Learning
    NeurIPS 2024 ·
    Bozhen Hu
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  49. Protein 3D Graph Structure Learning for Robust Structure-Based Protein Property Prediction
    AAAI 2024 ·
    Yufei Huang
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  50. RDesign: Hierarchical Data-efficient Representation Learning for Tertiary Structure-based RNA Design
    ICLR 2024 ·
    Cheng Tan
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  51. Re-Dock: Towards Flexible and Realistic Molecular Docking with Diffusion Bridge
    ICML 2024 ·
    Yufei Huang
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  52. SemiReward: A General Reward Model for Semi-supervised Learning
    ICLR 2024 ·
    Siyuan Li
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  53. Short-Long Convolutions Help Hardware-Efficient Linear Attention to Focus on Long Sequences
    ICML 2024 ·
    Zicheng Liu
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  54. Surface-VQMAE: Vector-quantized Masked Auto-encoders on Molecular Surfaces
    ICML 2024 ·
    Fang Wu
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  55. Teach Harder, Learn Poorer: Rethinking Hard Sample Distillation for GNN-to-MLP Knowledge Distillation
    CIKM 2024 ·
    Lirong Wu
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  56. UniIF: Unified Molecule Inverse Folding
    NeurIPS 2024 ·
    Zhangyang Gao
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  57. VQDNA: Unleashing the Power of Vector Quantization for Multi-Species Genomic Sequence Modeling
    ICML 2024 ·
    Siyuan Li
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  58. Wavelet-Driven Spatiotemporal Predictive Learning: Bridging Frequency and Time Variations
    AAAI 2024 ·
    Xuesong Nie
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