Mingchen Li

Publication Activity (10 Years)

Years Active: 2016-2024
Publications (10 Years): 63

Top Topics

Parameter Identification

Top Venues

Expert Syst. Appl.

J. Cheminformatics

Publications

Zijie Huang, Huiqun Yu, Guisheng Fan, Zhiqing Shao, Ziyi Zhou, Mingchen Li
On the effectiveness of developer features in code smell prioritization: A replication study. J. Syst. Softw. 210 (2024)
Yang Tan, Zhixing Zhang, Mingchen Li, Fei Pan, Hao Duan, Zijie Huang, Hua Deng, Zhuohang Yu, Chen Yang, Guoyang Shen, Peng Qi, Chengyuan Yue, Yuxian Liu, Liang Hong, Huiqun Yu, Guisheng Fan, Yun Tang
MedChatZH: A tuning LLM for traditional Chinese medicine consultations. Comput. Biol. Medicine 172 (2024)
Mingchen Li, Kun Yang, Zishu Cheng, Yunjie Wei, Shouyang Wang
Adding double insurance to your investments: Evidence from the exchange rate market. Adv. Eng. Informatics 60 (2024)
Mingchen Li, Anne H. Blaes, Steven Johnson, Hongfang Liu, Hua Xu, Rui Zhang
CancerLLM: A Large Language Model in Cancer Domain. CoRR (2024)
Xuechen Zhang, Mingchen Li, Jiasi Chen, Christos Thrampoulidis, Samet Oymak
Class-attribute Priors: Adapting Optimization to Heterogeneity and Fairness Objective. CoRR (2024)
Mingchen Li, Chen Ling, Rui Zhang, Liang Zhao
A Condensed Transition Graph Framework for Zero-shot Link Prediction with Large Language Models. CoRR (2024)
Yang Tan, Mingchen Li, Bingxin Zhou, Bozitao Zhong, Lirong Zheng, Pan Tan, Ziyi Zhou, Huiqun Yu, Guisheng Fan, Liang Hong
Simple, Efficient and Scalable Structure-aware Adapter Boosts Protein Language Models. CoRR (2024)
Xuechen Zhang, Mingchen Li, Jiasi Chen, Christos Thrampoulidis, Samet Oymak
Class-Attribute Priors: Adapting Optimization to Heterogeneity and Fairness Objective. AAAI (2024)
Mingchen Li, Zaifu Zhan, Han Yang, Yongkang Xiao, Jiatan Huang, Rui Zhang
Benchmarking Retrieval-Augmented Large Language Models in Biomedical NLP: Application, Robustness, and Self-Awareness. CoRR (2024)
Mingchen Li, Huiqun Yu, Guisheng Fan, Ziyi Zhou, Zijie Huang
Enhancing code summarization with action word prediction. Neurocomputing 563 (2024)
Yang Tan, Mingchen Li, Ziyi Zhou, Pan Tan, Huiqun Yu, Guisheng Fan, Liang Hong
PETA: evaluating the impact of protein transfer learning with sub-word tokenization on downstream applications. J. Cheminformatics 16 (1) (2024)
Siyuan Liu, Qiqian Huang, Mingchen Li, Yunjie Wei
A new LASSO-BiLSTM-based ensemble learning approach for exchange rate forecasting. Eng. Appl. Artif. Intell. 127 (Part B) (2024)
Mingchen Li, Halil Kilicoglu, Hua Xu, Rui Zhang
BiomedRAG: A Retrieval Augmented Large Language Model for Biomedicine. CoRR (2024)
Mingchen Li, Xuechen Zhang, Yixiao Huang, Samet Oymak
On the Power of Convolution Augmented Transformer. CoRR (2024)
Zijie Huang, Huiqun Yu, Guisheng Fan, Zhiqing Shao, Mingchen Li, Yuguo Liang
Aligning XAI explanations with software developers' expectations: A case study with code smell prioritization. Expert Syst. Appl. 238 (Part A) (2024)
Chenghan Li, Mingchen Li, Hanzhen Lu, Jiabao Pan, Bo Qin, Hongwei Wang
A Computational Framework for Effective Representation and Extraction of Knowledge Graph for Power Plant Maintenance and Overhaul. CSCWD (2023)
Yang Tan, Mingchen Li, Zijie Huang, Huiqun Yu, Guisheng Fan
MedChatZH: a Better Medical Adviser Learns from Better Instructions. CoRR (2023)
Mingchen Li, Yang Ye, Jeremy Yeung, Huixue Zhou, Huaiyuan Chu, Rui Zhang
W-procer: Weighted Prototypical Contrastive Learning for Medical Few-Shot Named Entity Recognition. CoRR (2023)
Xuechen Zhang, Mingchen Li, Xiangyu Chang, Jiasi Chen, Amit K. Roy-Chowdhury, Ananda Theertha Suresh, Samet Oymak
FedYolo: Augmenting Federated Learning with Pretrained Transformers. CoRR (2023)
Mingchen Li, Liqi Kang, Yi Xiong, Yu Guang Wang, Guisheng Fan, Pan Tan, Liang Hong
SESNet: sequence-structure feature-integrated deep learning method for data-efficient protein engineering. CoRR (2023)
Mingchen Li, Di Zhuang, J. Morris Chang
MC-GEN: Multi-level clustering for private synthetic data generation. Knowl. Based Syst. 264 (2023)
Davoud Ataee Tarzanagh, Mingchen Li, Pranay Sharma, Samet Oymak
Federated Multi-Sequence Stochastic Approximation with Local Hypergradient Estimation. CoRR (2023)
Ying Liu, Haozhu Wang, Huixue Zhou, Mingchen Li, Yu Hou, Sicheng Zhou, Fang Wang, Rama Hoetzlein, Rui Zhang
A Review of Reinforcement Learning for Natural Language Processing, and Applications in Healthcare. CoRR (2023)
Mingchen Li, Lifu Huang
Understand the Dynamic World: An End-to-End Knowledge Informed Framework for Open Domain Entity State Tracking. SIGIR (2023)
Mingchen Li, Huiqun Yu, Guisheng Fan, Ziyi Zhou, Jiawen Huang
ClassSum: a deep learning model for class-level code summarization. Neural Comput. Appl. 35 (4) (2023)
Zifan Peng, Mingchen Li, Yue Wang, George T. S. Ho
Combating the COVID-19 infodemic using Prompt-Based curriculum learning. Expert Syst. Appl. 229 (Part A) (2023)
Keyu Chen, Di Zhuang, Mingchen Li, J. Morris Chang
Epi-Curriculum: Episodic Curriculum Learning for Low-Resource Domain Adaptation in Neural Machine Translation. CoRR (2023)
Yang Tan, Mingchen Li, Pan Tan, Ziyi Zhou, Huiqun Yu, Guisheng Fan, Liang Hong
PETA: Evaluating the Impact of Protein Transfer Learning with Sub-word Tokenization on Downstream Applications. CoRR (2023)
Mingchen Li, Lifu Huang
Understand the Dynamic World: An End-to-End Knowledge Informed Framework for Open Domain Entity State Tracking. CoRR (2023)
Mingchen Li, Ming Chen, Huixue Zhou, Rui Zhang
PeTailor: Improving Large Language Model by Tailored Chunk Scorer in Biomedical Triple Extraction. CoRR (2023)
Mingchen Li, Liqi Kang, Yi Xiong, Yu Guang Wang, Guisheng Fan, Pan Tan, Liang Hong
SESNet: sequence-structure feature-integrated deep learning method for data-efficient protein engineering. J. Cheminformatics 15 (1) (2023)
Mingchen Li, Rui Zhang
How far is Language Model from 100% Few-shot Named Entity Recognition in Medical Domain. CoRR (2023)
Yingcong Li, Mingchen Li, M. Salman Asif, Samet Oymak
Provable and Efficient Continual Representation Learning. CoRR (2022)
Mingchen Li, Zhiji Yang
Deep Twin Support Vector Networks. CICAI (3) (2022)
Jiawen Huang, Huiqun Yu, Guisheng Fan, Ziyi Zhou, Mingchen Li
Improving Just-In-Time Comment Updating via AST Edit Sequence. Int. J. Softw. Eng. Knowl. Eng. 32 (10) (2022)
Mingchen Li, Junfan Chen, Samuel Mensah, Nikolaos Aletras, Xiulong Yang, Yang Ye
A Hierarchical N-Gram Framework for Zero-Shot Link Prediction. EMNLP (Findings) (2022)
Mingchen Li, Junfan Chen, Samuel Mensah, Nikolaos Aletras, Xiulong Yang, Yang Ye
A Hierarchical N-Gram Framework for Zero-Shot Link Prediction. CoRR (2022)
Davoud Ataee Tarzanagh, Mingchen Li, Christos Thrampoulidis, Samet Oymak
FedNest: Federated Bilevel, Minimax, and Compositional Optimization. ICML (2022)
Davoud Ataee Tarzanagh, Mingchen Li, Christos Thrampoulidis, Samet Oymak
FEDNEST: Federated Bilevel, Minimax, and Compositional Optimization. CoRR (2022)
Di Zhuang, Mingchen Li, J. Morris Chang
Locally Differentially Private Distributed Deep Learning via Knowledge Distillation. CoRR (2022)
Shaolong Sun, Mingchen Li, Shouyang Wang, Chengyuan Zhang
Multi-step ahead tourism demand forecasting: The perspective of the learning using privileged information paradigm. Expert Syst. Appl. 210 (2022)
Mingchen Li, Xuechen Zhang, Christos Thrampoulidis, Jiasi Chen, Samet Oymak
AutoBalance: Optimized Loss Functions for Imbalanced Data. CoRR (2022)
Mingchen Li, Di Zhuang, J. Morris Chang
MC-GEN: Multi-level Clustering for Private Synthetic Data Generation. CoRR (2022)
Mingchen Li, Jonathan Shihao Ji
Semantic Structure Based Query Graph Prediction for Question Answering over Knowledge Graph. COLING (2022)
Mingchen Li, Jonathan Shihao Ji
Semantic Structure based Query Graph Prediction for Question Answering over Knowledge Graph. CoRR (2022)
Samet Oymak, Mingchen Li, Mahdi Soltanolkotabi
Generalization Guarantees for Neural Architecture Search with Train-Validation Split. ICML (2021)
Wencen Wu, Jie You, Yufei Zhang, Mingchen Li, Kun Su
Parameter Identification of Spatial-Temporal Varying Processes by a Multi-Robot System in Realistic Diffusion Fields. Robotica 39 (5) (2021)
Yangtao Du, Dingkang Yang, Peng Zhai, Mingchen Li, Lihua Zhang
Learning Associative Representation for Facial Expression Recognition. ICIP (2021)
Di Zhuang, J. Morris Chang, Mingchen Li
DynaMo: Dynamic Community Detection by Incrementally Maximizing Modularity. IEEE Trans. Knowl. Data Eng. 33 (5) (2021)
Yao-Chun Chan, Mingchen Li, Samet Oymak
On the Marginal Benefit of Active Learning: Does Self-Supervision Eat its Cake? ICASSP (2021)
Mingchen Li, Xuechen Zhang, Christos Thrampoulidis, Jiasi Chen, Samet Oymak
AutoBalance: Optimized Loss Functions for Imbalanced Data. NeurIPS (2021)
Samet Oymak, Mingchen Li, Mahdi Soltanolkotabi
Generalization Guarantees for Neural Architecture Search with Train-Validation Split. CoRR (2021)
Mingchen Li, Mahdi Soltanolkotabi, Samet Oymak
Gradient Descent with Early Stopping is Provably Robust to Label Noise for Overparameterized Neural Networks. AISTATS (2020)
Mingchen Li, Yahya Sattar, Christos Thrampoulidis, Samet Oymak
Exploring Weight Importance and Hessian Bias in Model Pruning. CoRR (2020)
Mingchen Li, Zili Zhou, Yanna Wang
Multi-Fusion Chinese WordNet (MCW) : Compound of Machine Learning and Manual Correction. CoRR (2020)
Yao-Chun Chan, Mingchen Li, Samet Oymak
On the Marginal Benefit of Active Learning: Does Self-Supervision Eat Its Cake? CoRR (2020)
Samet Oymak, Zalan Fabian, Mingchen Li, Mahdi Soltanolkotabi
Generalization Guarantees for Neural Networks via Harnessing the Low-rank Structure of the Jacobian. CoRR (2019)
Mingchen Li, Mahdi Soltanolkotabi, Samet Oymak
Gradient Descent with Early Stopping is Provably Robust to Label Noise for Overparameterized Neural Networks. CoRR (2019)
Samet Oymak, Zalan Fabian, Mingchen Li, Mahdi Soltanolkotabi
Generalization, Adaptation and Low-Rank Representation in Neural Networks. ACSSC (2019)
Luchao Tian, Mingchen Li, Yu Hao, Jun Liu, Guyue Zhang, Yan Qiu Chen
Robust 3-D Human Detection in Complex Environments With a Depth Camera. IEEE Trans. Multim. 20 (9) (2018)
Luchao Tian, Mingchen Li, Guyue Zhang, Jingwen Zhao, Yan Qiu Chen
Robust human detection with super-pixel segmentation and random ferns classification using RGB-D camera. ICME (2017)
Jie You, Yufei Zhang, Mingchen Li, Kun Su, Fumin Zhang, Wencen Wu
Cooperative parameter identification of advection-diffusion processes using a mobile sensor network. ACC (2017)
Luchao Tian, Guyue Zhang, Mingchen Li, Jun Liu, Yan Qiu Chen
Reliably detecting humans in crowded and dynamic environments using RGB-D camera. ICME (2016)