Mingchen Li

Orcid: 0009-0007-3999-0450

According to our database1, Mingchen Li authored at least 44 papers between 2016 and 2024.

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Bibliography

2024
On the effectiveness of developer features in code smell prioritization: A replication study.
J. Syst. Softw., April, 2024

Aligning XAI explanations with software developers' expectations: A case study with code smell prioritization.
Expert Syst. Appl., March, 2024

Enhancing code summarization with action word prediction.
Neurocomputing, January, 2024

A new LASSO-BiLSTM-based ensemble learning approach for exchange rate forecasting.
Eng. Appl. Artif. Intell., January, 2024

A Condensed Transition Graph Framework for Zero-shot Link Prediction with Large Language Models.
CoRR, 2024

Class-Attribute Priors: Adapting Optimization to Heterogeneity and Fairness Objective.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
SESNet: sequence-structure feature-integrated deep learning method for data-efficient protein engineering.
J. Cheminformatics, December, 2023

Combating the COVID-19 infodemic using Prompt-Based curriculum learning.
Expert Syst. Appl., November, 2023

MC-GEN: Multi-level clustering for private synthetic data generation.
Knowl. Based Syst., March, 2023

ClassSum: a deep learning model for class-level code summarization.
Neural Comput. Appl., February, 2023

PeTailor: Improving Large Language Model by Tailored Chunk Scorer in Biomedical Triple Extraction.
CoRR, 2023

A Review of Reinforcement Learning for Natural Language Processing, and Applications in Healthcare.
CoRR, 2023

PETA: Evaluating the Impact of Protein Transfer Learning with Sub-word Tokenization on Downstream Applications.
CoRR, 2023

Epi-Curriculum: Episodic Curriculum Learning for Low-Resource Domain Adaptation in Neural Machine Translation.
CoRR, 2023

MedChatZH: a Better Medical Adviser Learns from Better Instructions.
CoRR, 2023

FedYolo: Augmenting Federated Learning with Pretrained Transformers.
CoRR, 2023

How far is Language Model from 100% Few-shot Named Entity Recognition in Medical Domain.
CoRR, 2023

Federated Multi-Sequence Stochastic Approximation with Local Hypergradient Estimation.
CoRR, 2023

W-procer: Weighted Prototypical Contrastive Learning for Medical Few-Shot Named Entity Recognition.
CoRR, 2023

Understand the Dynamic World: An End-to-End Knowledge Informed Framework for Open Domain Entity State Tracking.
Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023

A Computational Framework for Effective Representation and Extraction of Knowledge Graph for Power Plant Maintenance and Overhaul.
Proceedings of the 26th International Conference on Computer Supported Cooperative Work in Design, 2023

2022
Improving Just-In-Time Comment Updating via AST Edit Sequence.
Int. J. Softw. Eng. Knowl. Eng., 2022

Multi-step ahead tourism demand forecasting: The perspective of the learning using privileged information paradigm.
Expert Syst. Appl., 2022

Provable and Efficient Continual Representation Learning.
CoRR, 2022

Locally Differentially Private Distributed Deep Learning via Knowledge Distillation.
CoRR, 2022

FedNest: Federated Bilevel, Minimax, and Compositional Optimization.
Proceedings of the International Conference on Machine Learning, 2022

A Hierarchical N-Gram Framework for Zero-Shot Link Prediction.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022

Semantic Structure Based Query Graph Prediction for Question Answering over Knowledge Graph.
Proceedings of the 29th International Conference on Computational Linguistics, 2022

Deep Twin Support Vector Networks.
Proceedings of the Artificial Intelligence - Second CAAI International Conference, 2022

2021
DynaMo: Dynamic Community Detection by Incrementally Maximizing Modularity.
IEEE Trans. Knowl. Data Eng., 2021

Parameter Identification of Spatial-Temporal Varying Processes by a Multi-Robot System in Realistic Diffusion Fields.
Robotica, 2021

AutoBalance: Optimized Loss Functions for Imbalanced Data.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Generalization Guarantees for Neural Architecture Search with Train-Validation Split.
Proceedings of the 38th International Conference on Machine Learning, 2021

Learning Associative Representation for Facial Expression Recognition.
Proceedings of the 2021 IEEE International Conference on Image Processing, 2021

On the Marginal Benefit of Active Learning: Does Self-Supervision Eat its Cake?
Proceedings of the IEEE International Conference on Acoustics, 2021

2020
Exploring Weight Importance and Hessian Bias in Model Pruning.
CoRR, 2020

Multi-Fusion Chinese WordNet (MCW) : Compound of Machine Learning and Manual Correction.
CoRR, 2020

Gradient Descent with Early Stopping is Provably Robust to Label Noise for Overparameterized Neural Networks.
Proceedings of the 23rd International Conference on Artificial Intelligence and Statistics, 2020

2019
Generalization Guarantees for Neural Networks via Harnessing the Low-rank Structure of the Jacobian.
CoRR, 2019

Generalization, Adaptation and Low-Rank Representation in Neural Networks.
Proceedings of the 53rd Asilomar Conference on Signals, Systems, and Computers, 2019

2018
Robust 3-D Human Detection in Complex Environments With a Depth Camera.
IEEE Trans. Multim., 2018

2017
Robust human detection with super-pixel segmentation and random ferns classification using RGB-D camera.
Proceedings of the 2017 IEEE International Conference on Multimedia and Expo, 2017

Cooperative parameter identification of advection-diffusion processes using a mobile sensor network.
Proceedings of the 2017 American Control Conference, 2017

2016
Reliably detecting humans in crowded and dynamic environments using RGB-D camera.
Proceedings of the IEEE International Conference on Multimedia and Expo, 2016


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