An Improved U-Net Infrared Small Target Detection Algorithm Based on Multi-Scale Feature Decomposition and Fusion and Attention Mechanism.
Sensors, July, 2024
Projectively and Weakly Simultaneously Diagonalizable Matrices and their Applications.
SIAM J. Matrix Anal. Appl., March, 2024
Adaptable and Precise: Enterprise-Scenario LLM Function-Calling Capability Training Pipeline.
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CoRR, 2024
Convergence analysis of the transformed gradient projection algorithms on compact matrix manifolds.
CoRR, 2024
Enhancing Complex Question Answering over Knowledge Graphs through Evidence Pattern Retrieval.
Proceedings of the ACM on Web Conference 2024, 2024
A Novel Exponential Dynamic Inertia Weight for Particle Swarm Optimization.
Proceedings of the International Joint Conference on Neural Networks, 2024
Timeline-based Sentence Decomposition with In Context Learning for Temporal Fact Extraction.
Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024
Time expression as update operations: Normalizing time expressions via a distantly supervised neural semantic parser.
Knowl. Based Syst., October, 2023
Fusing Self-Attention and CoordConv to Improve the YOLOv5s Algorithm for Infrared Weak Target Detection.
Sensors, August, 2023
Conflict Detection for Temporal Knowledge Graphs: A Fast Constraint Mining Algorithm and New Benchmarks.
CoRR, 2023
PaTeCon: A Pattern-Based Temporal Constraint Mining Method for Conflict Detection on Knowledge Graphs.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023
Decentralized Triple Proximal Splitting Algorithm With Uncoordinated Stepsizes for Nonsmooth Composite Optimization Problems.
IEEE Trans. Syst. Man Cybern. Syst., 2022
Decentralized Dual Operator Splitting for Nonsmooth Composite Optimization.
IEEE Trans. Netw. Sci. Eng., 2022
Decentralized Primal-Dual Proximal Operator Algorithm for Constrained Nonsmooth Composite Optimization Problems over Networks.
Entropy, 2022
Semantic Framework based Query Generation for Temporal Question Answering over Knowledge Graphs.
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022
A difference-of-convex programming approach with parallel branch-and-bound for sentence compression via a hybrid extractive model.
Optim. Lett., 2021
Spatio-Temporal Neural Network for Fitting and Forecasting COVID-19.
CoRR, 2021
Automatic rule generation for time expression normalization.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2021, 2021
A Difference-of-Convex Programming Approach With Parallel Branch-and-Bound For Sentence Compression Via A Hybrid Extractive Model.
CoRR, 2020
A Pattern-Based Approach to Recognizing Time Expressions.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019
Generating Illustrative Snippets for Open Data on the Web.
Proceedings of the Tenth ACM International Conference on Web Search and Data Mining, 2017
An EBMC-Based Approach to Selecting Types for Entity Filtering.
Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015