Cheng Tan

28

Papers

302

Total Citations

Papers (28)

MogaNet: Multi-order Gated Aggregation Network

Make RepVGG Greater Again: A Quantization-Aware Approach

FoldToken: Learning Protein Language via Vector Quantization and Beyond

PSC-CPI: Multi-Scale Protein Sequence-Structure Contrasting for Efficient and Generalizable Compound-Protein Interaction Prediction

SemiReward: A General Reward Model for Semi-supervised Learning

CBGBench: Fill in the Blank of Protein-Molecule Complex Binding Graph

From Words to Structured Visuals: A Benchmark and Framework for Text-to-Diagram Generation and Editing

General Point Model Pretraining with Autoencoding and Autoregressive

MergeVQ: A Unified Framework for Visual Generation and Representation with Disentangled Token Merging and Quantization

DaCapo: Score Distillation as Stacked Bridge for Fast and High-quality 3D Editing

MeToken: Uniform Micro-environment Token Boosts Post-Translational Modification Prediction

Relation-Aware Equivariant Graph Networks for Epitope-Unknown Antibody Design and Specificity Optimization

AlphaFold Database Debiasing for Robust Inverse Folding

dyAb: Flow Matching for Flexible Antibody Design with AlphaFold-driven Pre-binding Antigen

Re-Dock: Towards Flexible and Realistic Molecular Docking with Diffusion Bridge

SimVP: Simpler Yet Better Video Prediction

Hyperspherical Consistency Regularization

CVT-SLR: Contrastive Visual-Textual Transformation for Sign Language Recognition With Variational Alignment

Temporal Attention Unit: Towards Efficient Spatiotemporal Predictive Learning

Deciphering RNA Secondary Structure Prediction: A Probabilistic K-Rook Matching Perspective

Cross-Gate MLP with Protein Complex Invariant Embedding Is a One-Shot Antibody Designer

MLIP: Enhancing Medical Visual Representation with Divergence Encoder and Knowledge-guided Contrastive Learning

A Graph is Worth $K$ Words: Euclideanizing Graph using Pure Transformer

VQDNA: Unleashing the Power of Vector Quantization for Multi-Species Genomic Sequence Modeling

Harnessing Hard Mixed Samples with Decoupled Regularizer

Understanding the Limitations of Deep Models for Molecular property prediction: Insights and Solutions

ProteinInvBench: Benchmarking Protein Inverse Folding on Diverse Tasks, Models, and Metrics

OpenSTL: A Comprehensive Benchmark of Spatio-Temporal Predictive Learning