Cheng Tan
Orcid: 0000-0002-8639-923XAffiliations:
- Westlake University, AI Lab, School of Engineering, Hangzhou, China
- Northwest A&F University, College of Information Engineering, Xianyang, China (former)
According to our database1,
Cheng Tan
authored at least 85 papers
between 2020 and 2024.
Collaborative distances:
Collaborative distances:
Timeline
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Bibliography
2024
Enhancing human-like multimodal reasoning: a new challenging dataset and comprehensive framework.
Neural Comput. Appl., November, 2024
Beyond Homophily and Homogeneity Assumption: Relation-Based Frequency Adaptive Graph Neural Networks.
IEEE Trans. Neural Networks Learn. Syst., June, 2024
IEEE Trans. Knowl. Data Eng., February, 2024
Learning to Model Graph Structural Information on MLPs via Graph Structure Self-Contrasting.
CoRR, 2024
CoRR, 2024
CoRR, 2024
GenBench: A Benchmarking Suite for Systematic Evaluation of Genomic Foundation Models.
CoRR, 2024
Retrieval Meets Reasoning: Even High-school Textbook Knowledge Benefits Multimodal Reasoning.
CoRR, 2024
DCS-Net: Pioneering Leakage-Free Point Cloud Pretraining Framework with Global Insights.
CoRR, 2024
CoRR, 2024
Interpretable and Generalizable Spatiotemporal Predictive Learning with Disentangled Consistency.
Proceedings of the Machine Learning and Knowledge Discovery in Databases. Research Track, 2024
VQDNA: Unleashing the Power of Vector Quantization for Multi-Species Genomic Sequence Modeling.
Proceedings of the Forty-first International Conference on Machine Learning, 2024
Proceedings of the Forty-first International Conference on Machine Learning, 2024
Deciphering RNA Secondary Structure Prediction: A Probabilistic K-Rook Matching Perspective.
Proceedings of the Forty-first International Conference on Machine Learning, 2024
Proceedings of the Forty-first International Conference on Machine Learning, 2024
Proceedings of the Twelfth International Conference on Learning Representations, 2024
Proceedings of the Twelfth International Conference on Learning Representations, 2024
Proceedings of the Twelfth International Conference on Learning Representations, 2024
Proceedings of the Twelfth International Conference on Learning Representations, 2024
RDesign: Hierarchical Data-efficient Representation Learning for Tertiary Structure-based RNA Design.
Proceedings of the Twelfth International Conference on Learning Representations, 2024
Proceedings of the IEEE International Conference on Acoustics, 2024
MLIP: Enhancing Medical Visual Representation with Divergence Encoder and Knowledge-guided Contrastive Learning.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024
PSC-CPI: Multi-Scale Protein Sequence-Structure Contrasting for Efficient and Generalizable Compound-Protein Interaction Prediction.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024
Wavelet-Driven Spatiotemporal Predictive Learning: Bridging Frequency and Time Variations.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024
Cross-Gate MLP with Protein Complex Invariant Embedding Is a One-Shot Antibody Designer.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024
2023
IEEE Trans. Knowl. Data Eng., April, 2023
Efficiently Predicting Protein Stability Changes Upon Single-point Mutation with Large Language Models.
CoRR, 2023
Boosting the Power of Small Multimodal Reasoning Models to Match Larger Models with Self-Consistency Training.
CoRR, 2023
Revisiting the Temporal Modeling in Spatio-Temporal Predictive Learning under A Unified View.
CoRR, 2023
Enhancing Human-like Multi-Modal Reasoning: A New Challenging Dataset and Comprehensive Framework.
CoRR, 2023
MotifRetro: Exploring the Combinability-Consistency Trade-offs in retrosynthesis via Dynamic Motif Editing.
CoRR, 2023
CoRR, 2023
Cross-Gate MLP with Protein Complex Invariant Embedding is A One-Shot Antibody Designer.
CoRR, 2023
CoRR, 2023
DiffSDS: A language diffusion model for protein backbone inpainting under geometric conditions and constraints.
CoRR, 2023
Proceedings of the Machine Learning and Knowledge Discovery in Databases: Research Track, 2023
Proceedings of the Machine Learning and Knowledge Discovery in Databases: Applied Data Science and Demo Track, 2023
Proceedings of the Machine Learning and Knowledge Discovery in Databases: Research Track, 2023
Understanding the Limitations of Deep Models for Molecular property prediction: Insights and Solutions.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
ProteinInvBench: Benchmarking Protein Inverse Folding on Diverse Tasks, Models, and Metrics.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
Proceedings of the 31st ACM International Conference on Multimedia, 2023
Proceedings of the Eleventh International Conference on Learning Representations, 2023
Proceedings of the Eleventh International Conference on Learning Representations, 2023
Wordreg: Mitigating the Gap between Training and Inference with Worst-Case Drop Regularization.
Proceedings of the IEEE International Conference on Acoustics, 2023
Proceedings of the IEEE International Conference on Acoustics, 2023
Proceedings of the IEEE International Conference on Acoustics, 2023
CVT-SLR: Contrastive Visual-Textual Transformation for Sign Language Recognition with Variational Alignment.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023
2022
CoRR, 2022
Leveraging Graph-based Cross-modal Information Fusion for Neural Sign Language Translation.
CoRR, 2022
CoRR, 2022
GraphMixup: Improving Class-Imbalanced Node Classification by Reinforcement Mixup and Self-supervised Context Prediction.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2022
Proceedings of the IEEE International Conference on Acoustics, 2022
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022
2021
GraphMixup: Improving Class-Imbalanced Node Classification on Graphs by Self-supervised Context Prediction.
CoRR, 2021
Proceedings of the MM '21: ACM Multimedia Conference, Virtual Event, China, October 20, 2021
2020
A Data Augmentation Method Based on Generative Adversarial Networks for Grape Leaf Disease Identification.
IEEE Access, 2020