Fanxu Meng

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:

Bibliography

2025
Qubit mapping: the adaptive divide-and-conquer approach.
Quantum Inf. Process., July, 2025

LoRASuite: Efficient LoRA Adaptation Across Large Language Model Upgrades.
CoRR, May, 2025

LIFT: Improving Long Context Understanding of Large Language Models through Long Input Fine-Tuning.
CoRR, February, 2025

TransMLA: Multi-Head Latent Attention Is All You Need.
CoRR, February, 2025

Hierarchical graph contrastive learning framework based on quantum neural networks for sentiment analysis.
Inf. Sci., 2025

Hierarchically Encapsulated Representation for Protocol Design in Self-Driving Labs.
Proceedings of the Thirteenth International Conference on Learning Representations, 2025

2024
Hybrid Regret Minimization: A Submodular Approach.
IEEE Trans. Knowl. Data Eng., July, 2024

LIFT: Improving Long Context Understanding Through Long Input Fine-Tuning.
CoRR, 2024

CLOVER: Constrained Learning with Orthonormal Vectors for Eliminating Redundancy.
CoRR, 2024

Expert-level protocol translation for self-driving labs.
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

PiSSA: Principal Singular Values and Singular Vectors Adaptation of Large Language Models.
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

Abstract Hardware Grounding Towards the Automated Design of Automation Systems.
Proceedings of the Intelligent Robotics and Applications - 17th International Conference, 2024

Hybrid Regret Minimization: A Submodular Approach (Extended Abstract).
Proceedings of the 40th IEEE International Conference on Data Engineering, 2024

AutoDSL: Automated domain-specific language design for structural representation of procedures with constraints.
Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

2023
Text sentiment analysis based on BERT-CBLBGA.
Comput. Electr. Eng., December, 2023

Chain of Images for Intuitively Reasoning.
CoRR, 2023

Explaining the Complex Task Reasoning of Large Language Models with Template-Content Structure.
CoRR, 2023

Large Language Models are In-Context Semantic Reasoners rather than Symbolic Reasoners.
CoRR, 2023

Improved Algorithm for Regret Ratio Minimization in Multi-Objective Submodular Maximization.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2021
RMNet: Equivalently Removing Residual Connection from Networks.
CoRR, 2021

Quantum Algorithm for DOA Estimation in Hybrid Massive MIMO.
CoRR, 2021

On The Consistency Training for Open-Set Semi-Supervised Learning.
CoRR, 2021

2020
DGD: Densifying the Knowledge of Neural Networks with Filter Grafting and Knowledge Distillation.
CoRR, 2020

Pruning Filter in Filter.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Filter Grafting for Deep Neural Networks.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020


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