2025
Motif-driven molecular graph representation learning.
Expert Syst. Appl., 2025
A biased edge coloring game.
Discret. Appl. Math., 2025
2024
An Efficient GCNs Accelerator Using 3D-Stacked Processing-in-Memory Architectures.
IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., May, 2024
MAIRNet: weakly supervised anatomy-aware multimodal articulated image registration network.
Int. J. Comput. Assist. Radiol. Surg., March, 2024
Exploring the Practicality of Differentially Private Federated Learning: A Local Iteration Tuning Approach.
IEEE Trans. Dependable Secur. Comput., 2024
ObjectRelator: Enabling Cross-View Object Relation Understanding in Ego-Centric and Exo-Centric Videos.
CoRR, 2024
Application based Evaluation of an Efficient Spike-Encoder, "Spiketrum".
CoRR, 2024
How Can Large Language Models Understand Spatial-Temporal Data?
CoRR, 2024
PFMNet: Prototype-based feature mapping network for few-shot domain adaptation in medical image segmentation.
Comput. Medical Imaging Graph., 2024
CycleSGAN: A cycle-consistent and semantics-preserving generative adversarial network for unpaired MR-to-CT image synthesis.
Comput. Medical Imaging Graph., 2024
A Scalable, Efficient, and Robust Dynamic Memory Management Library for HLS-based FPGAs.
Proceedings of the 57th IEEE/ACM International Symposium on Microarchitecture, 2024
Enabling Efficient Large Recommendation Model Training with Near CXL Memory Processing.
Proceedings of the 51st ACM/IEEE Annual International Symposium on Computer Architecture, 2024
CO3: Low-resource Contrastive Co-training for Generative Conversational Query Rewrite.
Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024
2023
EDRL: Entropy-guided disentangled representation learning for unsupervised domain adaptation in semantic segmentation.
Comput. Methods Programs Biomed., October, 2023
Accurate Electromagnetic Force Analysis of Offshore Wind Power Transformer Windings Based on Fractional Order Lumped Parameter Model.
Symmetry, September, 2023
MolHF: Molecular Heterogeneous Attributes Fusion for Drug-Target Affinity Prediction on Heterogeneity.
IEICE Trans. Inf. Syst., May, 2023
Hardness of Graph-Structured Algebraic and Symbolic Problems.
Proceedings of the Algorithms and Data Structures - 18th International Symposium, 2023
Investigation the Impact of Features on Malicious Traffic Identification Based on Different Machine Learning Algorithms Combined with Dimensionality Reduction.
Proceedings of the 4th International Conference on Machine Learning and Computer Application, 2023
Gradient-based Offset Compensation for Edge Corrections on 8K Video Transmission using 4K Tiles.
Proceedings of the 24th International Conference on Digital Signal Processing, 2023
2022
A 1-MHz GaN-Based $LCLC$ Resonant Step-Up Converter With Air-Core Transformer for Satellite Electric Propulsion Application.
IEEE Trans. Ind. Electron., 2022
Towards bridging the distribution gap: Instance to Prototype Earth Mover's Distance for distribution alignment.
Medical Image Anal., 2022
CyCMIS: Cycle-consistent Cross-domain Medical Image Segmentation via diverse image augmentation.
Medical Image Anal., 2022
Multi-scale Subgraph Contrastive Learning for Link Prediction.
Proceedings of the Rough Sets - International Joint Conference, 2022
Sparse Imbalanced Drug-Target Interaction Prediction via Heterogeneous Data Augmentation and Node Similarity.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2022
Few-shot Medical Image Segmentation Regularized with Self-reference and Contrastive Learning.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022
UASSR: Unsupervised Arbitrary Scale Super-Resolution Reconstruction of Single Anisotropic 3D Images via Disentangled Representation Learning.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022
A Computation-Efficient Neural Network for VAD using Multi-Channel Feature.
Proceedings of the 30th European Signal Processing Conference, 2022
McQueen: a Benchmark for Multimodal Conversational Query Rewrite.
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022
The construction of drought disaster early warning model in apple orchard.
Proceedings of the BIC 2022: 2nd International Conference on Bioinformatics and Intelligent Computing, Harbin, China, January 21, 2022
2021
A Multiple-Integration Encoder for Multi-Turn Text-to-SQL Semantic Parsing.
IEEE ACM Trans. Audio Speech Lang. Process., 2021
MGBN: Convolutional neural networks for automated benign and malignant breast masses classification.
Multim. Tools Appl., 2021
A new heterogeneous neural network model and its application in image enhancement.
Neurocomputing, 2021
BASCNet: Bilateral adaptive spatial and channel attention network for breast density classification in the mammogram.
Biomed. Signal Process. Control., 2021
Unsupervised Cross-modality Cardiac Image Segmentation via Disentangled Representation Learning and Consistency Regularization.
Proceedings of the Machine Learning in Medical Imaging - 12th International Workshop, 2021
Disentangled Representation Learning For Deep MR To CT Synthesis Using Unpaired Data.
Proceedings of the 2021 IEEE International Conference on Image Processing, 2021
Graph Attention and Interaction Network With Multi-Task Learning for Fact Verification.
Proceedings of the IEEE International Conference on Acoustics, 2021
Productive High-Performance k-Truss Decomposition on GPU Using Linear Algebra.
Proceedings of the 2021 IEEE High Performance Extreme Computing Conference, 2021
Tracking Interaction States for Multi-Turn Text-to-SQL Semantic Parsing.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021
2020
Can You be More Social? Injecting Politeness and Positivity into Task-Oriented Conversational Agents.
CoRR, 2020
Joint Contextual Modeling for ASR Correction and Language Understanding.
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Proceedings of the 2020 IEEE International Conference on Acoustics, 2020
Joint Intent Detection and Entity Linking on Spatial Domain Queries.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2020, 2020
2019
Multi-level nested pyramid network for mass segmentation in mammograms.
Neurocomputing, 2019
Knowledge Base Question Answering With Attentive Pooling for Question Representation.
IEEE Access, 2019
A New Mammography Lesion Classification Method Based on Convolutional Neural Network.
Proceedings of the 3rd International Conference on Machine Learning and Soft Computing, 2019
Bi-ResNet: Fully Automated Classification of Unregistered Contralateral Mammograms.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2019 - 28th International Conference on Artificial Neural Networks, Munich, Germany, September 17-19, 2019, Proceedings, 2019
2018
The Design of an Augmented Reality System for Urban Search and Rescue.
Proceedings of the IEEE International Conference on Intelligence and Safety for Robotics, 2018
2017
Optimal impedance control for an elbow rehabilitation robot.
Proceedings of the 14th International Conference on Ubiquitous Robots and Ambient Intelligence, 2017
Research on Multi Agent Manufacturing Process Optimization Method Based on QPSO.
Proceedings of the 10th International Symposium on Computational Intelligence and Design, 2017
Question Answering with Character-Level LSTM Encoders and Model-Based Data Augmentation.
Proceedings of the Chinese Computational Linguistics and Natural Language Processing Based on Naturally Annotated Big Data, 2017
2015
Energy-Efficient SLA Guarantees for Virtualized GPU in Cloud Gaming.
IEEE Trans. Parallel Distributed Syst., 2015