Molecule Generation for Target Protein Binding with Hierarchical Consistency Diffusion Model.
CoRR, March, 2025
Wind Farm Meteorological Prediction Model Based on Frequency Domain Feature Extraction Fusion Mechanism.
IEEE Access, 2025
MS-Glance: Bio-Inspired Non-Semantic Context Vectors and Their Applications in Supervising Image Reconstruction.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2025
InversionGNN: A Dual Path Network for Multi-Property Molecular Optimization.
Proceedings of the Thirteenth International Conference on Learning Representations, 2025
Generate Any Scene: Evaluating and Improving Text-to-Vision Generation with Scene Graph Programming.
CoRR, 2024
MS-Glance: Non-semantic context vectors and the applications in supervising image reconstruction.
CoRR, 2024
Parameter-Efficient Fine-Tuning via Circular Convolution.
CoRR, 2024
DuDoUniNeXt: Dual-domain unified hybrid model for single and multi-contrast undersampled MRI reconstruction.
CoRR, 2024
U<sup>2</sup>MRPD: Unsupervised undersampled MRI reconstruction by prompting a large latent diffusion model.
CoRR, 2024
3DFaceMAE: Pre-training of Masked Autoencoder Using Patch-Based Random Masking Reconstruction and Super-resolution for 3D Face Recognition.
Proceedings of the Pattern Recognition and Computer Vision - 7th Chinese Conference, 2024
Towards Stable Representations for Protein Interface Prediction.
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024
Rethinking Dual-Domain Undersampled MRI Reconstruction: Domain-Specific Design from the Perspective of the Receptive Field.
Proceedings of the IEEE International Symposium on Biomedical Imaging, 2024
Parameter-Efficient Fine-Tuning with Discrete Fourier Transform.
Proceedings of the Forty-first International Conference on Machine Learning, 2024
Protein Multimer Structure Prediction via Prompt Learning.
Proceedings of the Twelfth International Conference on Learning Representations, 2024
Deep Reinforcement Learning for Modelling Protein Complexes.
Proceedings of the Twelfth International Conference on Learning Representations, 2024
Enhancing Stock Market Forecasting: A Hybrid Machine Learning Approach Integrating LSTM and GRU Models.
Proceedings of the 2024 International Conference on Cloud Computing and Big Data, 2024
PointFaceFormer: Local and Global Attention Based Transformer for 3D Point Cloud Face Recognition.
Proceedings of the 18th IEEE International Conference on Automatic Face and Gesture Recognition, 2024
MMTSA: Multi-Modal Temporal Segment Attention Network for Efficient Human Activity Recognition.
Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., September, 2023
DuDoRNeXt: A hybrid model for dual-domain undersampled MRI reconstruction.
CoRR, 2023
The Accuracy Analysis of Tool Center Point Calibration via Condition Number and Minimum Eigenvalue.
Proceedings of the IEEE International Conference on Real-time Computing and Robotics, 2023
GADBench: Revisiting and Benchmarking Supervised Graph Anomaly Detection.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
Expectation Index Prediction System Based on LSTM Neural Network.
Proceedings of the 2023 7th International Conference on Innovation in Artificial Intelligence, 2023
Handling Missing Data via Max-Entropy Regularized Graph Autoencoder.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023
ImGCL: Revisiting Graph Contrastive Learning on Imbalanced Node Classification.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023
MMTSA: Multimodal Temporal Segment Attention Network for Efficient Human Activity Recognition.
CoRR, 2022
ImDrug: A Benchmark for Deep Imbalanced Learning in AI-aided Drug Discovery.
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CoRR, 2022
Rethinking Graph Neural Networks for Anomaly Detection.
Proceedings of the International Conference on Machine Learning, 2022
Establishment and Evaluation of Measurement and Control System Model Based on Data Analysis Optimization.
Proceedings of the 5th International Conference on Information Technologies and Electrical Engineering, 2022
STRAD: Network Intrusion Detection Algorithm Based on Zero-Positive Learning in Real Complex Network Environment.
Proceedings of the IEEE Symposium on Computers and Communications, 2021