← Authors

Stan Z. Li

116 papers · 2013–2026 · 11 conferences · across top CS/AI conferences

Achievements

🐣 Hot Topic Early Bird 🐝 Cross-Pollinator (10) 🌍 Conference Polyglot (11) πŸƒ Academic Marathon (12) πŸŒ‰ Interdisciplinary Bridge πŸ—ΊοΈ Taxonomy Completionist (14) 🌈 Renaissance Researcher (11) 🧭 Keyword Pioneer 🏠 Conference Loyalist (25) 🀝 Dynamic Duo (38) πŸ‘‘ Triple Crown πŸ† Keyword Champion (6) πŸ† Grand Slam πŸ”¬ Deep Specialist (27) 🧬 Topic Evolution πŸš€ Conference Pioneer ⚑ Prolific Year (34) πŸ—ƒοΈ Keyword Collector (407) πŸ“ˆ Trend Setter πŸ”₯ Unstoppable (13) πŸ’Ž Century Club (113)

Conferences

CVPR (25) AAAI (19) NIPS (17) ICML (16) ICLR (14) ECCV (7) ICCV (7) IJCAI (7) WACV (2) COLING (1) EMNLP (1)

Top co-authors

Cheng Tan (38) Lirong Wu (35) Siyuan Li (33) Zhangyang Gao (33) Zhen Lei (27) Jun Xia (24) Yufei Huang (23) Haitao Lin (20) Zicheng Liu (17) Bozhen Hu (13)

Keywords

graph neural network (19) object detection (9) convolutional neural network (8) representation learning (7) deep learning (7) protein structure (7) face recognition (6) contrastive learning (4) antibody design (4) pedestrian detection (4) semi-supervised learning (4) knowledge distillation (4) metric learning (3) diffusion model (3) face detection (3) generative model (3) domain adaptation (3) person re-identification (3) multi-task learning (3) few-shot learning (3)

Papers

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