Cheng Tan
48 papers · 2019–2026 · 10 conferences · across top CS/AI conferences
Achievements
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π Conference Polyglot (9) π Academic Marathon (6) π Interdisciplinary Bridge π§ Keyword Pioneer π£ Hot Topic Early Bird
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(10)
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Taxonomy Completionist
(62)
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Conference Polyglot
(9)
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Dynamic Duo
(38)
π
Triple Crown
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Grand Slam
π¬
Deep Specialist
(13)
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Topic Evolution
β‘
Prolific Year
(10)
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Keyword Collector
(176)
π₯
Unstoppable
(7)
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Century Club
(47)
Conferences
ICLR (12)
NIPS (10)
CVPR (9)
AAAI (6)
ICML (4)
OSDI (3)
ACL (1)
ECCV (1)
IJCAI (1)
NSDI (1)
Top co-authors
Research topics
Keywords
protein structure
(6)
contrastive learning
(4)
graph neural network
(4)
antibody design
(3)
vector quantization
(3)
benchmark evaluation
(2)
sequence modeling
(2)
multi-agent system
(2)
image generation
(2)
protein design
(2)
recurrent neural network
(2)
domain adaptation
(2)
representation learning
(2)
semi-supervised learning
(2)
video prediction
(2)
protein representation
(2)
protein sequence
(2)
formal verification
(2)
drug discovery
(2)
spatiotemporal predictive learning
(2)
Papers
Chain-of-Thought Compression Should Not Be Blind: V-Skip for Efficient Multimodal Reasoning via Dual-Path Anchoring
ACL 2026
FoldToken: Learning Protein Language via Vector Quantization and Beyond
AAAI 2025
dyAb: Flow Matching for Flexible Antibody Design with AlphaFold-driven Pre-binding Antigen
AAAI 2025
Relation-Aware Equivariant Graph Networks for Epitope-Unknown Antibody Design and Specificity Optimization
AAAI 2025
EVA: Geometric Inverse Design for Fast Protein Motif-Scaffolding with Coupled Flow
ICLR 2025
ReNovo: Retrieval-Based \emph{De Novo} Mass Spectrometry Peptide Sequencing
ICLR 2025
CBGBench: Fill in the Blank of Protein-Molecule Complex Binding Graph
ICLR 2025
From Words to Structured Visuals: A Benchmark and Framework for Text-to-Diagram Generation and Editing
CVPR 2025
SketchAgent: Generating Structured Diagrams from Hand-Drawn Sketches
IJCAI 2025
MergeVQ: A Unified Framework for Visual Generation and Representation with Disentangled Token Merging and Quantization
CVPR 2025
MeToken: Uniform Micro-environment Token Boosts Post-Translational Modification Prediction
ICLR 2025
DaCapo: Score Distillation as Stacked Bridge for Fast and High-quality 3D Editing
CVPR 2025
RDesign: Hierarchical Data-efficient Representation Learning for Tertiary Structure-based RNA Design
ICLR 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
ProtGO: Function-Guided Protein Modeling for Unified Representation Learning
NIPS 2024
NN4SysBench: Characterizing Neural Network Verification for Computer Systems
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
Cross-Gate MLP with Protein Complex Invariant Embedding Is a One-Shot Antibody Designer
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
Decoupling Weighing and Selecting for Integrating Multiple Graph Pre-training Tasks
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
Deciphering RNA Secondary Structure Prediction: A Probabilistic K-Rook Matching Perspective
ICML 2024
Encrypted Databases Made Secure Yet Maintainable
OSDI 2023
CVT-SLR: Contrastive Visual-Textual Transformation for Sign Language Recognition With Variational Alignment
CVPR 2023
PiFold: Toward effective and efficient protein inverse folding
ICLR 2023
Harnessing Hard Mixed Samples with Decoupled Regularizer
NIPS 2023
OpenSTL: A Comprehensive Benchmark of Spatio-Temporal Predictive Learning
NIPS 2023
ProteinInvBench: Benchmarking Protein Inverse Folding on Diverse Tasks, Models, and Metrics
NIPS 2023
Temporal Attention Unit: Towards Efficient Spatiotemporal Predictive Learning
CVPR 2023
Understanding the Limitations of Deep Models for Molecular property prediction: Insights and Solutions
NIPS 2023
Mole-BERT: Rethinking Pre-training Graph Neural Networks for Molecules
ICLR 2023
Personalized Reward Learning with Interaction-Grounded Learning (IGL)
ICLR 2023
Hyperspherical Consistency Regularization
CVPR 2022
SimVP: Simpler Yet Better Video Prediction
CVPR 2022
Bringing Decentralized Search to Decentralized Services
OSDI 2021
Cobra: Making Transactional Key-Value Stores Verifiably Serializable
OSDI 2020
NetBouncer: Active Device and Link Failure Localization in Data Center Networks
NSDI 2019