Deqing Wang
This page is a disambiguation page, it actually contains mutiple papers from persons of the same or a similar name.
Known people with the same name:
- Deqing Wang 001 (Beihang University, Beijing, China)
- Deqing Wang 002 (Beihang University, Beijing, China)
- Deqing Wang 003 (Shenyang Institute of Automation, Shenyang, Liaoning, China)
- Deqing Wang 004 (Xiamen University, Xiamen, Fujian, China)
Bibliography
2025
FLeW: Facet-Level and Adaptive Weighted Representation Learning of Scientific Documents.
CoRR, September, 2025
Mitigating Spurious Correlations Between Question and Answer via Chain-of-Thought Correctness Perception Distillation.
CoRR, September, 2025
PCRec: A Multi-Interest News Recommendation Framework with Prompt-Guided Cross-View Contrastive Learning.
J. Comput. Sci. Technol., July, 2025
AgriCHN: A Comprehensive Cross-domain Resource for Chinese Agricultural Named Entity Recognition.
CoRR, June, 2025
Effective Two-Stage Double Auction for Dynamic Resource Trading in Edge Networks via Overbooking.
CoRR, January, 2025
One for Dozens: Adaptive REcommendation for All Domains with Counterfactual Augmentation.
Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025
2024
Corrigendum to 'Accelerating regularized tensor decomposition using the alternating direction method of multipliers with multiple Nesterov's extrapolations' [Signal Processing 222 (2024) 109532].
Signal Process., 2024
Proceedings of the 2024 SIAM International Conference on Data Mining, 2024
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024
2023
Hierarchical Neural Topic Model with Embedding Cluster and Neural Variational Inference.
Proceedings of the 2023 SIAM International Conference on Data Mining, 2023
2022
Frontiers Comput. Sci., 2022
RHCO: A Relation-aware Heterogeneous Graph Neural Network with Contrastive Learning for Large-scale Graphs.
CoRR, 2022
SSL-DC: Improving Transductive Few-Shot Learning via Self-Supervised Learning and Distribution Calibration.
Proceedings of the 26th International Conference on Pattern Recognition, 2022
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022
2021
Inf. Process. Manag., 2021
LightXML: Transformer with Dynamic Negative Sampling for High-Performance Extreme Multi-label Text Classification.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021
2019
Proceedings of the 17th International Conference on High Performance Computing & Simulation, 2019
Aligning Domain-Specific Distribution and Classifier for Cross-Domain Classification from Multiple Sources.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019
2018
Proceedings of the Thirteenth ACM International Conference on Underwater Networks & Systems, 2018
A LFM-based adaptive wake-up signal detection approach for underwater acoustic communication system.
Proceedings of the Thirteenth ACM International Conference on Underwater Networks & Systems, 2018
Proceedings of the 2018 International Conference on Computing, 2018
Proceedings of the Fourth IEEE International Conference on Big Data Computing Service and Applications, 2018
2017
IET Commun., 2017
2016
Energy-Efficient Distributed Compressed Sensing Data Aggregation for Cluster-Based Underwater Acoustic Sensor Networks.
Int. J. Distributed Sens. Networks, 2016
Proceedings of the 11th ACM International Conference on Underwater Networks & Systems, 2016
Inverse Multicast Quality of Service Routing Problem with Bandwidth and Delay Under the Weighted l_1 Norm.
Proceedings of the Testbeds and Research Infrastructures for the Development of Networks and Communities, 2016
2015
Proceedings of the 10th International Conference on Underwater Networks & Systems, 2015
2008
Proceedings of the International Conference on Computer Science and Software Engineering, 2008