Stan Z. Li

Departures: Distributional Transport for Single-Cell Perturbation Prediction with Neural Schrödinger Bridges AAAI 2026 Learning Cell-Aware Hierarchical Multi-Modal Representations for Robust Molecular Modeling AAAI 2026 MergeDNA: Context-Aware Genome Modeling with Dynamic Tokenization Through Token Merging AAAI 2026 A Comprehensive and Systematic Review for Deep Learning-Based De Novo Peptide Sequencing IJCAI 2025 A Simple yet Effective ΔΔ G Predictor is An Unsupervised Antibody Optimizer and Explainer ICLR 2025 Bridging the Gap between Database Search and \emph{De Novo} Peptide Sequencing with SearchNovo ICLR 2025 CBGBench: Fill in the Blank of Protein-Molecule Complex Binding Graph ICLR 2025 dyAb: Flow Matching for Flexible Antibody Design with AlphaFold-driven Pre-binding Antigen AAAI 2025 EVA: Geometric Inverse Design for Fast Protein Motif-Scaffolding with Coupled Flow ICLR 2025 FoldToken: Learning Protein Language via Vector Quantization and Beyond AAAI 2025 G2PDiffusion: Cross-Species Genotype-to-Phenotype Prediction via Evolutionary Diffusion ICCV 2025 Generalized Implicit Neural Representations for Dynamic Molecular Surface Modeling AAAI 2025 GRAPE: Heterogeneous Graph Representation Learning for Genetic Perturbation with Coding and Non-Coding Biotype IJCAI 2025 MeToken: Uniform Micro-environment Token Boosts Post-Translational Modification Prediction ICLR 2025 Relation-Aware Equivariant Graph Networks for Epitope-Unknown Antibody Design and Specificity Optimization AAAI 2025 ReNovo: Retrieval-Based \emph{De Novo} Mass Spectrometry Peptide Sequencing ICLR 2025 SketchAgent: Generating Structured Diagrams from Hand-Drawn Sketches IJCAI 2025 AdaNovo: Towards Robust \emph{De Novo} Peptide Sequencing in Proteomics against Data Biases NeurIPS 2024 A Graph is Worth K Words: Euclideanizing Graph using Pure Transformer ICML 2024 Boosting the Power of Small Multimodal Reasoning Models to Match Larger Models with Self-Consistency Training ECCV 2024 Cross-Gate MLP with Protein Complex Invariant Embedding Is a One-Shot Antibody Designer AAAI 2024 Deciphering RNA Secondary Structure Prediction: A Probabilistic K-Rook Matching Perspective ICML 2024 Decoupling Weighing and Selecting for Integrating Multiple Graph Pre-training Tasks ICLR 2024 Deep Graph Neural Networks via Posteriori-Sampling-based Node-Adaptative Residual Module NeurIPS 2024 DiffAug: Enhance Unsupervised Contrastive Learning with Domain-Knowledge-Free Diffusion-based Data Augmentation ICML 2024 FlexMol: A Flexible Toolkit for Benchmarking Molecular Relational Learning NeurIPS 2024 General Point Model Pretraining with Autoencoding and Autoregressive CVPR 2024 GeoAB: Towards Realistic Antibody Design and Reliable Affinity Maturation ICML 2024 InsertGNN: A Hierarchical Graph Neural Network for the TOEFL Sentence Insertion Problem EMNLP 2024 Instructor-inspired Machine Learning for Robust Molecular Property Prediction NeurIPS 2024 KW-Design: Pushing the Limit of Protein Design via Knowledge Refinement ICLR 2024 Learning Complete Protein Representation by Dynamically Coupling of Sequence and Structure NeurIPS 2024 Learning to Predict Mutational Effects of Protein-Protein Interactions by Microenvironment-aware Hierarchical Prompt Learning ICML 2024 LongVQ: Long Sequence Modeling with Vector Quantization on Structured Memory IJCAI 2024 MAPE-PPI: Towards Effective and Efficient Protein-Protein Interaction Prediction via Microenvironment-Aware Protein Embedding ICLR 2024 MLIP: Enhancing Medical Visual Representation with Divergence Encoder and Knowledge-guided Contrastive Learning CVPR 2024 MogaNet: Multi-order Gated Aggregation Network ICLR 2024 NovoBench: Benchmarking Deep Learning-based \emph{De Novo} Sequencing Methods in Proteomics NeurIPS 2024 PhyloGen: Language Model-Enhanced Phylogenetic Inference via Graph Structure Generation NeurIPS 2024 PPFLOW: Target-Aware Peptide Design with Torsional Flow Matching ICML 2024 Protein 3D Graph Structure Learning for Robust Structure-Based Protein Property Prediction AAAI 2024 ProtGO: Function-Guided Protein Modeling for Unified Representation Learning NeurIPS 2024 PSC-CPI: Multi-Scale Protein Sequence-Structure Contrasting for Efficient and Generalizable Compound-Protein Interaction Prediction AAAI 2024 RDesign: Hierarchical Data-efficient Representation Learning for Tertiary Structure-based RNA Design ICLR 2024 Re-Dock: Towards Flexible and Realistic Molecular Docking with Diffusion Bridge ICML 2024 SemiReward: A General Reward Model for Semi-supervised Learning ICLR 2024 Short-Long Convolutions Help Hardware-Efficient Linear Attention to Focus on Long Sequences ICML 2024 Surface-VQMAE: Vector-quantized Masked Auto-encoders on Molecular Surfaces ICML 2024 UniIF: Unified Molecule Inverse Folding NeurIPS 2024 VQDNA: Unleashing the Power of Vector Quantization for Multi-Species Genomic Sequence Modeling ICML 2024 Wavelet-Driven Spatiotemporal Predictive Learning: Bridging Frequency and Time Variations AAAI 2024 A Hierarchical Training Paradigm for Antibody Structure-sequence Co-design NeurIPS 2023 Architecture-Agnostic Masked Image Modeling -- From ViT back to CNN ICML 2023 A Systematic Survey of Chemical Pre-trained Models IJCAI 2023 Boosting Novel Category Discovery Over Domains with Soft Contrastive Learning and All in One Classifier ICCV 2023 CVT-SLR: Contrastive Visual-Textual Transformation for Sign Language Recognition With Variational Alignment CVPR 2023 DiffMD: A Geometric Diffusion Model for Molecular Dynamics Simulations AAAI 2023 Dink-Net: Neural Clustering on Large Graphs ICML 2023 Extracting Low-/High- Frequency Knowledge from Graph Neural Networks and Injecting It into MLPs: An Effective GNN-to-MLP Distillation Framework AAAI 2023 Functional-Group-Based Diffusion for Pocket-Specific Molecule Generation and Elaboration NeurIPS 2023 Harnessing Hard Mixed Samples with Decoupled Regularizer NeurIPS 2023 High-dimensional Clustering onto Hamiltonian Cycle ICML 2023 Mole-BERT: Rethinking Pre-training Graph Neural Networks for Molecules ICLR 2023 Molformer: Motif-Based Transformer on 3D Heterogeneous Molecular Graphs AAAI 2023 OpenSTL: A Comprehensive Benchmark of Spatio-Temporal Predictive Learning NeurIPS 2023 PiFold: Toward effective and efficient protein inverse folding ICLR 2023 ProteinInvBench: Benchmarking Protein Inverse Folding on Diverse Tasks, Models, and Metrics NeurIPS 2023 Quantifying the Knowledge in GNNs for Reliable Distillation into MLPs ICML 2023 Rethinking Explaining Graph Neural Networks via Non-parametric Subgraph Matching ICML 2023 Temporal Attention Unit: Towards Efficient Spatiotemporal Predictive Learning CVPR 2023 Understanding the Limitations of Deep Models for Molecular property prediction: Insights and Solutions NeurIPS 2023 AutoMix: Unveiling the Power of Mixup for Stronger Classifiers ECCV 2022 CAViT: Contextual Alignment Vision Transformer for Video Object Re-identification ECCV 2022 Conditional Local Convolution for Spatio-Temporal Meteorological Forecasting AAAI 2022 DLME: Deep Local-Flatness Manifold Embedding ECCV 2022 Exploiting Sentiment and Common Sense for Zero-shot Stance Detection COLING 2022 Generalized Clustering and Multi-Manifold Learning With Geometric Structure Preservation WACV 2022 Hyperspherical Consistency Regularization CVPR 2022 Knowledge Distillation Improves Graph Structure Augmentation for Graph Neural Networks NeurIPS 2022 ProGCL: Rethinking Hard Negative Mining in Graph Contrastive Learning ICML 2022 SimVP: Simpler Yet Better Video Prediction CVPR 2022 Towards Reasonable Budget Allocation in Untargeted Graph Structure Attacks via Gradient Debias NeurIPS 2022 CASIA-SURF CeFA: A Benchmark for Multi-Modal Cross-Ethnicity Face Anti-Spoofing WACV 2021 Face Forgery Detection by 3D Decomposition CVPR 2021 Beyond 3DMM Space: Towards Fine-grained 3D Face Reconstruction ECCV 2020 Bridging the Gap Between Anchor-Based and Anchor-Free Detection via Adaptive Training Sample Selection CVPR 2020 Context-Aware Attention Network for Image-Text Retrieval CVPR 2020 Learning Meta Face Recognition in Unseen Domains CVPR 2020 PedHunter: Occlusion Robust Pedestrian Detector in Crowded Scenes AAAI 2020 Relational Learning for Joint Head and Human Detection AAAI 2020 Relation-Aware Pedestrian Attribute Recognition with Graph Convolutional Networks AAAI 2020 Towards Fast, Accurate and Stable 3D Dense Face Alignment ECCV 2020 AdaptiveFace: Adaptive Margin and Sampling for Face Recognition CVPR 2019 A Dataset and Benchmark for Large-Scale Multi-Modal Face Anti-Spoofing CVPR 2019 Deeply-learned Hybrid Representations for Facial Age Estimation IJCAI 2019 Selective Refinement Network for High Performance Face Detection AAAI 2019 Unsupervised Graph Association for Person Re-Identification ICCV 2019 Ensemble Soft-Margin Softmax Loss for Image Classification IJCAI 2018 Occlusion-aware R-CNN: Detecting Pedestrians in a Crowd ECCV 2018 Single-Shot Refinement Neural Network for Object Detection CVPR 2018 Exclusivity-Consistency Regularized Multi-View Subspace Clustering CVPR 2017 S3FD: Single Shot Scale-Invariant Face Detector ICCV 2017 CRAFT Objects From Images CVPR 2016 Face Alignment Across Large Poses: A 3D Solution CVPR 2016 Adaptively Unified Semi-Supervised Dictionary Learning With Active Points ICCV 2015 Convolutional Channel Features ICCV 2015 Efficient PSD Constrained Asymmetric Metric Learning for Person Re-Identification ICCV 2015 High-Fidelity Pose and Expression Normalization for Face Recognition in the Wild CVPR 2015 JOTS: Joint Online Tracking and Segmentation CVPR 2015 Object Detection by Labeling Superpixels CVPR 2015 Person Re-Identification by Local Maximal Occurrence Representation and Metric Learning CVPR 2015 A Probabilistic Framework for Multitarget Tracking with Mutual Occlusions CVPR 2014 Multiple Target Tracking Based on Undirected Hierarchical Relation Hypergraph CVPR 2014 The Fastest Deformable Part Model for Object Detection CVPR 2014 Robust Multi-resolution Pedestrian Detection in Traffic Scenes CVPR 2013 Towards Pose Robust Face Recognition CVPR 2013