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Mingchen Li
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2020 – today
- 2024
- [j22]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: 102416 (2024) - [j21]Yang Tan
MedChatZH: A tuning LLM for traditional Chinese medicine consultations. Comput. Biol. Medicine 172: 108290 (2024) - [j20]Siyuan Liu, Qiqian Huang, Mingchen Li
A new LASSO-BiLSTM-based ensemble learning approach for exchange rate forecasting. Eng. Appl. Artif. Intell. 127(Part B): 107305 (2024) - [j19]Zijie Huang
Aligning XAI explanations with software developers' expectations: A case study with code smell prioritization. Expert Syst. Appl. 238(Part A): 121640 (2024) - [j18]Mingchen Li
Enhancing code summarization with action word prediction. Neurocomputing 563: 126777 (2024) - [j17]Mingchen Li, Huixue Zhou
RT: a Retrieving and Chain-of-Thought framework for few-shot medical named entity recognition. J. Am. Medical Informatics Assoc. 31(9): 1929-1938 (2024) - [j16]Huixue Zhou
LEAP: LLM instruction-example adaptive prompting framework for biomedical relation extraction. J. Am. Medical Informatics Assoc. 31(9): 2010-2018 (2024) - [j15]Ying Liu, Haozhu Wang, Huixue Zhou
A review of reinforcement learning for natural language processing and applications in healthcare. J. Am. Medical Informatics Assoc. 31(10): 2379-2393 (2024) - [j14]Yongkang Xiao, Sinian Zhang, Huixue Zhou, Mingchen Li, Han Yang, Rui Zhang:
FuseLinker: Leveraging LLM's pre-trained text embeddings and domain knowledge to enhance GNN-based link prediction on biomedical knowledge graphs. J. Biomed. Informatics 158: 104730 (2024) - [j13]Yang Tan
PETA: evaluating the impact of protein transfer learning with sub-word tokenization on downstream applications. J. Cheminformatics 16(1): 92 (2024) - [j12]Yang Tan
Simple, Efficient, and Scalable Structure-Aware Adapter Boosts Protein Language Models. J. Chem. Inf. Model. 64(16): 6338-6349 (2024) - [j11]Zijie Huang
On the effectiveness of developer features in code smell prioritization: A replication study. J. Syst. Softw. 210: 111968 (2024) - [j10]Ziyi Zhou
Learning to Generate Structured Code Summaries From Hybrid Code Context. IEEE Trans. Software Eng. 50(10): 2512-2528 (2024) - [c18]Xuechen Zhang, Mingchen Li, Jiasi Chen, Christos Thrampoulidis, Samet Oymak:
Class-Attribute Priors: Adapting Optimization to Heterogeneity and Fairness Objective. AAAI 2024: 16890-16898 - [c17]Zifan Peng, Mingchen Li, Yue Wang, Daniel Y. Mo:
Prompt-Based Contrastive Learning to Combat the COVID-19 Infodemic. DSAA 2024: 1 - [c16]Mingchen Li
A Statistical Model-Based Study of the Coupled Relationship between Labor Force Skill Complementarity and Economic Growth. ICIIP 2024: 382-393 - [i33]Xuechen Zhang, Mingchen Li, Jiasi Chen, Christos Thrampoulidis, Samet Oymak:
Class-attribute Priors: Adapting Optimization to Heterogeneity and Fairness Objective. CoRR abs/2401.14343 (2024) - [i32]Mingchen Li, Chen Ling, Rui Zhang, Liang Zhao:
A Condensed Transition Graph Framework for Zero-shot Link Prediction with Large Language Models. CoRR abs/2402.10779 (2024) - [i31]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 abs/2404.14850 (2024) - [i30]Mingchen Li, Halil Kilicoglu, Hua Xu, Rui Zhang:
BiomedRAG: A Retrieval Augmented Large Language Model for Biomedicine. CoRR abs/2405.00465 (2024) - [i29]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 abs/2405.08151 (2024) - [i28]Mingchen Li, Anne H. Blaes, Steven Johnson, Hongfang Liu, Hua Xu, Rui Zhang:
CancerLLM: A Large Language Model in Cancer Domain. CoRR abs/2406.10459 (2024) - [i27]Mingchen Li, Xuechen Zhang, Yixiao Huang, Samet Oymak:
On the Power of Convolution Augmented Transformer. CoRR abs/2407.05591 (2024) - [i26]Jiatan Huang, Mingchen Li, Zonghai Yao, Zhichao Yang, Yongkang Xiao, Feiyun Ouyang, Xiaohan Li, Shuo Han, Hong Yu:
RiTeK: A Dataset for Large Language Models Complex Reasoning over Textual Knowledge Graphs. CoRR abs/2410.13987 (2024) - [i25]Wenrui Gou, Wenhui Ge, Yang Tan, Mingchen Li, Guisheng Fan, Huiqun Yu:
CPE-Pro: A Structure-Sensitive Deep Learning Method for Protein Representation and Origin Evaluation. CoRR abs/2410.15592 (2024) - 2023
- [j9]Zifan Peng
Combating the COVID-19 infodemic using Prompt-Based curriculum learning. Expert Syst. Appl. 229(Part A): 120501 (2023) - [j8]Mingchen Li, Liqi Kang, Yi Xiong, Yu Guang Wang, Guisheng Fan, Pan Tan
SESNet: sequence-structure feature-integrated deep learning method for data-efficient protein engineering. J. Cheminformatics 15(1): 12 (2023) - [j7]Mingchen Li
MC-GEN: Multi-level clustering for private synthetic data generation. Knowl. Based Syst. 264: 110239 (2023) - [j6]Mingchen Li
ClassSum: a deep learning model for class-level code summarization. Neural Comput. Appl. 35(4): 3373-3393 (2023) - [c15]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: 1269-1274 - [c14]Mingchen Li
Understand the Dynamic World: An End-to-End Knowledge Informed Framework for Open Domain Entity State Tracking. SIGIR 2023: 842-851 - [i24]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 abs/2301.00004 (2023) - [i23]Mingchen Li, Lifu Huang:
Understand the Dynamic World: An End-to-End Knowledge Informed Framework for Open Domain Entity State Tracking. CoRR abs/2304.13854 (2023) - [i22]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 abs/2305.18624 (2023) - [i21]Davoud Ataee Tarzanagh, Mingchen Li, Pranay Sharma, Samet Oymak:
Federated Multi-Sequence Stochastic Approximation with Local Hypergradient Estimation. CoRR abs/2306.01648 (2023) - [i20]Mingchen Li, Rui Zhang:
How far is Language Model from 100% Few-shot Named Entity Recognition in Medical Domain. CoRR abs/2307.00186 (2023) - [i19]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 abs/2307.04905 (2023) - [i18]Yang Tan, Mingchen Li, Zijie Huang, Huiqun Yu, Guisheng Fan:
MedChatZH: a Better Medical Adviser Learns from Better Instructions. CoRR abs/2309.01114 (2023) - [i17]Keyu Chen, Di Zhuang, Mingchen Li, J. Morris Chang:
Epi-Curriculum: Episodic Curriculum Learning for Low-Resource Domain Adaptation in Neural Machine Translation. CoRR abs/2309.02640 (2023) - [i16]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 abs/2310.17415 (2023) - [i15]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 abs/2310.18354 (2023) - [i14]Mingchen Li, Ming Chen, Huixue Zhou, Rui Zhang:
PeTailor: Improving Large Language Model by Tailored Chunk Scorer in Biomedical Triple Extraction. CoRR abs/2310.18463 (2023) - 2022
- [j5]Shaolong Sun, Mingchen Li
Multi-step ahead tourism demand forecasting: The perspective of the learning using privileged information paradigm. Expert Syst. Appl. 210: 118502 (2022) - [j4]Jiawen Huang
Improving Just-In-Time Comment Updating via AST Edit Sequence. Int. J. Softw. Eng. Knowl. Eng. 32(10): 1455-1476 (2022) - [c13]Mingchen Li, Zhiji Yang:
Deep Twin Support Vector Networks. CICAI (3) 2022: 94-106 - [c12]Mingchen Li, Jonathan Shihao Ji:
Semantic Structure Based Query Graph Prediction for Question Answering over Knowledge Graph. COLING 2022: 1569-1579 - [c11]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: 2498-2509 - [c10]Davoud Ataee Tarzanagh, Mingchen Li, Christos Thrampoulidis, Samet Oymak:
FedNest: Federated Bilevel, Minimax, and Compositional Optimization. ICML 2022: 21146-21179 - [i13]Mingchen Li, Xuechen Zhang, Christos Thrampoulidis, Jiasi Chen, Samet Oymak:
AutoBalance: Optimized Loss Functions for Imbalanced Data. CoRR abs/2201.01212 (2022) - [i12]Di Zhuang, Mingchen Li, J. Morris Chang:
Locally Differentially Private Distributed Deep Learning via Knowledge Distillation. CoRR abs/2202.02971 (2022) - [i11]Yingcong Li, Mingchen Li, M. Salman Asif, Samet Oymak:
Provable and Efficient Continual Representation Learning. CoRR abs/2203.02026 (2022) - [i10]Mingchen Li, Jonathan Shihao Ji:
Semantic Structure based Query Graph Prediction for Question Answering over Knowledge Graph. CoRR abs/2204.10194 (2022) - [i9]Mingchen Li, Junfan Chen, Samuel Mensah, Nikolaos Aletras, Xiulong Yang
A Hierarchical N-Gram Framework for Zero-Shot Link Prediction. CoRR abs/2204.10293 (2022) - [i8]Davoud Ataee Tarzanagh, Mingchen Li, Christos Thrampoulidis, Samet Oymak:
FEDNEST: Federated Bilevel, Minimax, and Compositional Optimization. CoRR abs/2205.02215 (2022) - [i7]Mingchen Li, Di Zhuang, J. Morris Chang:
MC-GEN: Multi-level Clustering for Private Synthetic Data Generation. CoRR abs/2205.14298 (2022) - 2021
- [j3]Wencen Wu
Parameter Identification of Spatial-Temporal Varying Processes by a Multi-Robot System in Realistic Diffusion Fields. Robotica 39(5): 842-861 (2021) - [j2]Di Zhuang
DynaMo: Dynamic Community Detection by Incrementally Maximizing Modularity. IEEE Trans. Knowl. Data Eng. 33(5): 1934-1945 (2021) - [c9]Yao-Chun Chan, Mingchen Li, Samet Oymak:
On the Marginal Benefit of Active Learning: Does Self-Supervision Eat its Cake? ICASSP 2021: 3455-3459 - [c8]Yangtao Du, Dingkang Yang, Peng Zhai, Mingchen Li, Lihua Zhang:
Learning Associative Representation for Facial Expression Recognition. ICIP 2021: 889-893 - [c7]Samet Oymak, Mingchen Li, Mahdi Soltanolkotabi
Generalization Guarantees for Neural Architecture Search with Train-Validation Split. ICML 2021: 8291-8301 - [c6]Mingchen Li, Xuechen Zhang, Christos Thrampoulidis, Jiasi Chen, Samet Oymak:
AutoBalance: Optimized Loss Functions for Imbalanced Data. NeurIPS 2021: 3163-3177 - [i6]Samet Oymak, Mingchen Li, Mahdi Soltanolkotabi:
Generalization Guarantees for Neural Architecture Search with Train-Validation Split. CoRR abs/2104.14132 (2021) - 2020
- [c5]Mingchen Li, Mahdi Soltanolkotabi
Gradient Descent with Early Stopping is Provably Robust to Label Noise for Overparameterized Neural Networks. AISTATS 2020: 4313-4324 - [i5]Mingchen Li, Zili Zhou, Yanna Wang:
Multi-Fusion Chinese WordNet (MCW) : Compound of Machine Learning and Manual Correction. CoRR abs/2002.01761 (2020) - [i4]Mingchen Li, Yahya Sattar, Christos Thrampoulidis, Samet Oymak:
Exploring Weight Importance and Hessian Bias in Model Pruning. CoRR abs/2006.10903 (2020) - [i3]Yao-Chun Chan, Mingchen Li, Samet Oymak:
On the Marginal Benefit of Active Learning: Does Self-Supervision Eat Its Cake? CoRR abs/2011.08121 (2020)
2010 – 2019
- 2019
- [c4]Samet Oymak, Zalan Fabian, Mingchen Li, Mahdi Soltanolkotabi
Generalization, Adaptation and Low-Rank Representation in Neural Networks. ACSSC 2019: 581-585 - [i2]Mingchen Li, Mahdi Soltanolkotabi, Samet Oymak:
Gradient Descent with Early Stopping is Provably Robust to Label Noise for Overparameterized Neural Networks. CoRR abs/1903.11680 (2019) - [i1]Samet Oymak, Zalan Fabian, Mingchen Li, Mahdi Soltanolkotabi:
Generalization Guarantees for Neural Networks via Harnessing the Low-rank Structure of the Jacobian. CoRR abs/1906.05392 (2019) - 2018
- [j1]Luchao Tian
Robust 3-D Human Detection in Complex Environments With a Depth Camera. IEEE Trans. Multim. 20(9): 2249-2261 (2018) - 2017
- [c3]Jie You, Yufei Zhang, Mingchen Li, Kun Su, Fumin Zhang
Cooperative parameter identification of advection-diffusion processes using a mobile sensor network. ACC 2017: 3230-3236 - [c2]Luchao Tian, Mingchen Li, Guyue Zhang, Jingwen Zhao
Robust human detection with super-pixel segmentation and random ferns classification using RGB-D camera. ICME 2017: 1542-1547 - 2016
- [c1]Luchao Tian, Guyue Zhang, Mingchen Li, Jun Liu
Reliably detecting humans in crowded and dynamic environments using RGB-D camera. ICME 2016: 1-6
Coauthor Index
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last updated on 2024-12-10 21:43 CET by the dblp team
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