Bingqian Liu
This page is a disambiguation page, it actually contains multiple papers from persons of the same or a similar name.
Bibliography
2026
Enhancing Intent Understanding and Preference Learning for Sequential Recommendation.
IEEE Trans. Knowl. Data Eng., May, 2026
IACR Cryptol. ePrint Arch., 2026
Proceedings of the Advances in Cryptology - EUROCRYPT 2026, 2026
Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026
VCGD: Visual Clue Guided Decoding with Caption Model for Mitigating Hallucination in Multimodal Large Language Models.
Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026
2025
Distributed Online Generalized Nash Equilibrium Learning in Multi-Cluster Games: A Delay-Tolerant Algorithm.
IEEE Trans. Circuits Syst. I Regul. Pap., October, 2025
Distributed Generalized Nash Equilibrium Learning for Online Multi-cluster Games with Bandit Feedback.
Proceedings of the Neural Information Processing - 32nd International Conference, 2025
Multi-Frequency Contrastive Decoding: Alleviating Hallucinations for Large Vision-Language Models.
Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing, 2025
2024
Integrating user short-term intentions and long-term preferences in heterogeneous hypergraph networks for sequential recommendation.
Inf. Process. Manag., March, 2024
A generalized Benders decomposition approach for the optimal design of a local multi-energy system.
Eur. J. Oper. Res., 2024
Enhancing Large Language Models with Graph-Based Node Sampling for Fault Attribution in Power Distribution Networks.
Proceedings of the Advanced Intelligent Computing Technology and Applications, 2024
TCEKG: A Temporal and Causal Event Knowledge Graph for Power Distribution Network Fault Diagnosis.
Proceedings of the Advanced Intelligent Computing Technology and Applications, 2024
2023
A Homogeneous Colorimetric Strategy Based on Rose-like CuS@Prussian Blue/Pt for Detection of Dopamine.
Sensors, November, 2023
2022
Optimal design of local multi-energy systems: mixed-integer linear programming models and bi-level decomposition approaches. (Conception optimale de systèmes multi-énergies locaux: modèles de programmation linéaire à nombre entier mixte et approches de décomposition à deux niveaux).
PhD thesis, 2022
Proceedings of the Pattern Recognition and Computer Vision - 5th Chinese Conference, 2022
2021
Minimization of maximum lateness in a flowshop learning effect scheduling with release dates.
Comput. Ind. Eng., 2021
A Transformer-Less Voltage Equalizer for Energy Storage Cells Based on Double-Tiered Multi-Stacked Converters.
IEEE Access, 2021
A Hierarchical Decomposition Approach for the Optimal Design of a District Cooling System.
Proceedings of the 10th International Conference on Operations Research and Enterprise Systems, 2021
2020
Optimizing the Post-Disaster Control of Islanded Microgrid: A Multi-Agent Deep Reinforcement Learning Approach.
IEEE Access, 2020
2019
2017
Permutation flow shop scheduling problem to minimize nonlinear objective function with release dates.
Comput. Ind. Eng., 2017
2016
Proceedings of the Intelligent Computing Theories and Application, 2016