Mingchen Li

This page is a disambiguation page, it actually contains mutiple papers from persons of the same or a similar name.

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Bibliography

2025
MS-TVNet:A Long-Term Time Series Prediction Method Based on Multi-Scale Dynamic Convolution.
CoRR, June, 2025

Sequence-Only Prediction of Binding Affinity Changes: A Robust and Interpretable Model for Antibody Engineering.
CoRR, May, 2025

JALMBench: Benchmarking Jailbreak Vulnerabilities in Audio Language Models.
CoRR, May, 2025

Exploiting Meta-Learning-based Poisoning Attacks for Graph Link Prediction.
CoRR, April, 2025

VenusFactory: A Unified Platform for Protein Engineering Data Retrieval and Language Model Fine-Tuning.
CoRR, March, 2025

DP-GTR: Differentially Private Prompt Protection via Group Text Rewriting.
CoRR, March, 2025

Automatic Code Summarization Using Abbreviation Expansion and Subword Segmentation.
Expert Syst. J. Knowl. Eng., February, 2025

Automatic Pruning via Structured Lasso with Class-wise Information.
CoRR, February, 2025

The Rising Threat to Emerging AI-Powered Search Engines.
CoRR, February, 2025

Prompt-based contrastive learning to combat the COVID-19 infodemic.
Mach. Learn., January, 2025

DBCF-Net: Enhanced Interactive Remote Sensing Image Segmentation With a Dual-Branch Network and Collaborative Feedback Integration.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2025

A Deep Retrieval-Enhanced Meta-Learning Framework for Enzyme Optimum pH Prediction.
J. Chem. Inf. Model., 2025

BiomedRAG: A retrieval augmented large language model for biomedicine.
J. Biomed. Informatics, 2025

RAMIE: retrieval-augmented multi-task information extraction with large language models on dietary supplements.
J. Am. Medical Informatics Assoc., 2025

Near-Duplicate Build Failure Detection from Continuous Integration Logs.
Proceedings of the 21st International Conference on Predictive Models and Data Analytics in Software Engineering, 2025

TVNet: A Novel Time Series Analysis Method Based on Dynamic Convolution and 3D-Variation.
Proceedings of the Thirteenth International Conference on Learning Representations, 2025

On the Power of Convolution-Augmented Transformer.
Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025

2024
Epi-Curriculum: Episodic Curriculum Learning for Low-Resource Domain Adaptation in Neural Machine Translation.
IEEE Trans. Artif. Intell., December, 2024

PETA: evaluating the impact of protein transfer learning with sub-word tokenization on downstream applications.
J. Cheminformatics, December, 2024

Learning to Generate Structured Code Summaries From Hybrid Code Context.
IEEE Trans. Software Eng., October, 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

Simple, Efficient, and Scalable Structure-Aware Adapter Boosts Protein Language Models.
J. Chem. Inf. Model., 2024

FuseLinker: Leveraging LLM's pre-trained text embeddings and domain knowledge to enhance GNN-based link prediction on biomedical knowledge graphs.
J. Biomed. Informatics, 2024

LEAP: LLM instruction-example adaptive prompting framework for biomedical relation extraction.
J. Am. Medical Informatics Assoc., 2024

A review of reinforcement learning for natural language processing and applications in healthcare.
J. Am. Medical Informatics Assoc., 2024

RT: a Retrieving and Chain-of-Thought framework for few-shot medical named entity recognition.
J. Am. Medical Informatics Assoc., 2024

CPE-Pro: A Structure-Sensitive Deep Learning Method for Protein Representation and Origin Evaluation.
CoRR, 2024

RiTeK: A Dataset for Large Language Models Complex Reasoning over Textual Knowledge Graphs.
CoRR, 2024

CancerLLM: A Large Language Model in Cancer Domain.
CoRR, 2024

Benchmarking Retrieval-Augmented Large Language Models in Biomedical NLP: Application, Robustness, and Self-Awareness.
CoRR, 2024

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

MedChatZH: A tuning LLM for traditional Chinese medicine consultations.
Comput. Biol. Medicine, 2024

Adding double insurance to your investments: Evidence from the exchange rate market.
Adv. Eng. Informatics, 2024

ProSST: Protein Language Modeling with Quantized Structure and Disentangled Attention.
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

Selective Attention: Enhancing Transformer through Principled Context Control.
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

A Statistical Model-Based Study of the Coupled Relationship between Labor Force Skill Complementarity and Economic Growth.
Proceedings of the 2024 9th International Conference on Intelligent Information Processing, 2024

Zero-Shot Link Prediction in Knowledge Graphs with Large Language Models.
Proceedings of the IEEE International Conference on Data Mining, 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

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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