Guangyong Chen
Orcid: 0000-0002-5892-8608
According to our database1,
Guangyong Chen
authored at least 86 papers
between 2015 and 2024.
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Bibliography
2024
BMC Bioinform., December, 2024
ACM Trans. Inf. Syst., March, 2024
SeaDAG: Semi-autoregressive Diffusion for Conditional Directed Acyclic Graph Generation.
CoRR, 2024
MagicTailor: Component-Controllable Personalization in Text-to-Image Diffusion Models.
CoRR, 2024
Unlocking Potential Binders: Multimodal Pretraining DEL-Fusion for Denoising DNA-Encoded Libraries.
CoRR, 2024
CoRR, 2024
SignVTCL: Multi-Modal Continuous Sign Language Recognition Enhanced by Visual-Textual Contrastive Learning.
CoRR, 2024
siRNADiscovery: a graph neural network for siRNA efficacy prediction via deep RNA sequence analysis.
Briefings Bioinform., 2024
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024
LLM-Assisted Multi-Teacher Continual Learning for Visual Question Answering in Robotic Surgery.
Proceedings of the IEEE International Conference on Robotics and Automation, 2024
Proceedings of the Forty-first International Conference on Machine Learning, 2024
Proceedings of the IEEE International Conference on Knowledge Graph, 2024
Text-Anchored Score Composition: Tackling Condition Misalignment in Text-to-Image Diffusion Models.
Proceedings of the Computer Vision - ECCV 2024, 2024
ANEDL: Adaptive Negative Evidential Deep Learning for Open-Set Semi-supervised Learning.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024
DR-Label: Label Deconstruction and Reconstruction of GNN Models for Catalysis Systems.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024
2023
MetaRF: attention-based random forest for reaction yield prediction with a few trails.
J. Cheminformatics, December, 2023
ResGen is a pocket-aware 3D molecular generation model based on parallel multiscale modelling.
Nat. Mac. Intell., September, 2023
IEEE Trans. Image Process., 2023
Nat. Comput. Sci., 2023
Nat. Comput. Sci., 2023
Towards an Automatic AI Agent for Reaction Condition Recommendation in Chemical Synthesis.
CoRR, 2023
CoRR, 2023
CoRR, 2023
DR-Label: Improving GNN Models for Catalysis Systems by Label Deconstruction and Reconstruction.
CoRR, 2023
RLMixer: A Reinforcement Learning Approach for Integrated Ranking with Contrastive User Preference Modeling.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2023
Learning Robust Classifier for Imbalanced Medical Image Dataset with Noisy Labels by Minimizing Invariant Risk.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023
Fast Non-Markovian Diffusion Model for Weakly Supervised Anomaly Detection in Brain MR Images.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023
Proceedings of the International Conference on Machine Learning, 2023
Proceedings of the 8th International Conference on Information Systems Engineering, 2023
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023
Investigations on Scientific Literature Meta Information Extraction Using Large Language Models.
Proceedings of the IEEE International Conference on Knowledge Graph, 2023
RepMode: Learning to Re-Parameterize Diverse Experts for Subcellular Structure Prediction.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023
2022
IEEE Trans. Vis. Comput. Graph., 2022
Multi-Task Mixture Density Graph Neural Networks for Predicting Cu-based Single-Atom Alloy Catalysts for CO2 Reduction Reaction.
CoRR, 2022
MetaRF: Differentiable Random Forest for Reaction Yield Prediction with a Few Trails.
CoRR, 2022
Proceedings of the SIGMOD '22: International Conference on Management of Data, Philadelphia, PA, USA, June 12, 2022
Transformer-based Working Memory for Multiagent Reinforcement Learning with Action Parsing.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022
Explore More Guidance: A Task-aware Instruction Network for Sign Language Translation Enhanced with Data Augmentation.
Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2022, 2022
Flat-Aware Cross-Stage Distilled Framework for Imbalanced Medical Image Classification.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022
Pseudo-label Guided Cross-video Pixel Contrast for Robotic Surgical Scene Segmentation with Limited Annotations.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2022
Heterogeneous Graph Neural Network-Based Imitation Learning for Gate Sizing Acceleration.
Proceedings of the 41st IEEE/ACM International Conference on Computer-Aided Design, 2022
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022
Proceedings of the Computer Vision, 2022
Proceedings of the DAC '22: 59th ACM/IEEE Design Automation Conference, San Francisco, California, USA, July 10, 2022
2021
Could graph neural networks learn better molecular representation for drug discovery? A comparison study of descriptor-based and graph-based models.
J. Cheminformatics, 2021
Balancing Accuracy and Fairness for Interactive Recommendation with Reinforcement Learning.
CoRR, 2021
Hyperbolic relational graph convolution networks plus: a simple but highly efficient QSAR-modeling method.
Briefings Bioinform., 2021
Flattening Sharpness for Dynamic Gradient Projection Memory Benefits Continual Learning.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021
Proceedings of the MM '21: ACM Multimedia Conference, Virtual Event, China, October 20, 2021
Proceedings of the 9th International Conference on Learning Representations, 2021
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021
Beyond Class-Conditional Assumption: A Primary Attempt to Combat Instance-Dependent Label Noise.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021
2020
CoRR, 2020
Balancing Between Accuracy and Fairness for Interactive Recommendation with Reinforcement Learning.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2020
Proceedings of the 37th International Conference on Machine Learning, 2020
Proceedings of the Advances in Information Retrieval, 2020
2019
Utilizing Edge Features in Graph Neural Networks via Variational Information Maximization.
CoRR, 2019
Understanding Adversarial Behavior of DNNs by Disentangling Non-Robust and Robust Components in Performance Metric.
CoRR, 2019
Disentangling Dynamics and Returns: Value Function Decomposition with Future Prediction.
CoRR, 2019
Rethinking the Usage of Batch Normalization and Dropout in the Training of Deep Neural Networks.
CoRR, 2019
Proceedings of the 36th International Conference on Machine Learning, 2019
2018
Large-Scale Bayesian Probabilistic Matrix Factorization with Memo-Free Distributed Variational Inference.
ACM Trans. Knowl. Discov. Data, 2018
ACM Trans. Auton. Adapt. Syst., 2018
Neural Comput. Appl., 2018
Proceedings of the 12th ACM Conference on Recommender Systems, 2018
2017
IEEE Trans. Pattern Anal. Mach. Intell., 2017
Proceedings of the 34th International Conference on Machine Learning, 2017
Proceedings of the IEEE International Conference on Computer Vision, 2017
2016
Proceedings of the IEEE 16th International Conference on Data Mining, 2016
Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition, 2016
2015
Proceedings of the 2015 IEEE International Conference on Computer Vision, 2015