Hailin Chen

According to our database, Hailin Chen authored at least 26 papers between 2009 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2023

Predicting circRNA-drug sensitivity associations by learning multimodal networks using graph auto-encoders and attention mechanism.

Bo Yang, Hailin Chen

Briefings Bioinform., January, 2023

Predicting miRNA-disease associations based on lncRNA-miRNA interactions and graph convolution networks.

Wengang Wang, Hailin Chen

Briefings Bioinform., January, 2023

ChatGPT's One-year Anniversary: Are Open-Source Large Language Models Catching up?

Hailin Chen, Fangkai Jiao, Xingxuan Li, Chengwei Qin, Mathieu Ravaut, Ruochen Zhao, Caiming Xiong, Shafiq Joty

CoRR, 2023

Personalised Distillation: Empowering Open-Sourced LLMs with Adaptive Learning for Code Generation.

Hailin Chen, Amrita Saha, Steven C. H. Hoi, Shafiq Joty

CoRR, 2023

CodeChain: Towards Modular Code Generation Through Chain of Self-revisions with Representative Sub-modules.

Hung Le, Hailin Chen, Amrita Saha, Akash Gokul, Doyen Sahoo, Shafiq Joty

CoRR, 2023

PromptSum: Parameter-Efficient Controllable Abstractive Summarization.

Mathieu Ravaut, Hailin Chen, Ruochen Zhao, Chengwei Qin, Shafiq Joty, Nancy F. Chen

CoRR, 2023

Retrieving Multimodal Information for Augmented Generation: A Survey.

Ruochen Zhao, Hailin Chen, Weishi Wang, Fangkai Jiao, Xuan Long Do, Chengwei Qin, Bosheng Ding, Xiaobao Guo, Minzhi Li, Xingxuan Li, Shafiq R. Joty

CoRR, 2023

Retrieving Multimodal Information for Augmented Generation: A Survey.

Ruochen Zhao, Hailin Chen, Weishi Wang, Fangkai Jiao, Do Xuan Long, Chengwei Qin, Bosheng Ding, Xiaobao Guo, Minzhi Li, Xingxuan Li, Shafiq Joty

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

Personalized Distillation: Empowering Open-Sourced LLMs with Adaptive Learning for Code Generation.

Hailin Chen, Amrita Saha, Steven Chu-Hong Hoi, Shafiq Joty

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

2022

Predicting potential miRNA-disease associations based on more reliable negative sample selection.

Ruiyu Guo, Hailin Chen, Wengang Wang, Guangsheng Wu, Fangliang Lv

BMC Bioinform., 2022

Predicting miRNA-disease associations based on graph attention networks and dual Laplacian regularized least squares.

Wengang Wang, Hailin Chen

Briefings Bioinform., 2022

Learning Label Modular Prompts for Text Classification in the Wild.

Hailin Chen, Amrita Saha, Shafiq R. Joty, Steven C. H. Hoi

Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

2021

In silico drug repositioning based on the integration of chemical, genomic and pharmacological spaces.

Hailin Chen, Zuping Zhang, Jingpu Zhang

BMC Bioinform., 2021

Deep Learning Approach for Long- Term Prediction of Electric Vehicle (EV) Charging Station Availability.

Ruikang Luo, Yicheng Zhang, Yao Zhou, Hailin Chen, Le Yang, Jianfei Yang, Rong Su

Proceedings of the 24th IEEE International Intelligent Transportation Systems Conference, 2021

2020

Potential circRNA-disease association prediction using DeepWalk and network consistency projection.

Guanghui Li, Jiawei Luo, Diancheng Wang, Cheng Liang, Qiu Xiao, Pingjian Ding, Hailin Chen

J. Biomed. Informatics, 2020

Comparative analysis of similarity measurements in miRNAs with applications to miRNA-disease association predictions.

Hailin Chen, Ruiyu Guo, Guanghui Li, Wei Zhang, Zuping Zhang

BMC Bioinform., 2020

Domain Adaptation for Degraded Remote Scene Classification.

Jianfei Yang, Hailin Chen, Yuecong Xu, Ziji Shi, Ruikang Luo, Lihua Xie, Rong Su

Proceedings of the 16th International Conference on Control, 2020

2019

Prediction and interpretation of miRNA-disease associations based on miRNA target genes using canonical correlation analysis.

Hailin Chen, Zuping Zhang, Dayi Feng

BMC Bioinform., 2019

Relating Disease-Gene Interaction Network With Disease-Associated ncRNAs.

Hailin Chen, Zuping Zhang, Guanghui Li

IEEE Access, 2019

Beyond Word for Word: Fact Guided Training for Neural Data-to-Document Generation.

Feng Nie, Hailin Chen, Jinpeng Wang, Rong Pan, Chin-Yew Lin

Proceedings of the Natural Language Processing and Chinese Computing, 2019

2018

Prediction of Drug-Disease Associations for Drug Repositioning Through Drug-miRNA-Disease Heterogeneous Network.

Hailin Chen, Zuping Zhang

IEEE Access, 2018

MPC Control and Path Planning of Omni-Directional Mobile Robot with Potential Field Method.

Xiaofeng Liu, Hailin Chen, Chengcheng Wang, Fang Hu, Xianqiang Yang

Proceedings of the IEEE International Conference on Real-time Computing and Robotics, 2018

2017

Application of Transfer Learning Approaches in Multimodal Wearable Human Activity Recognition.

Hailin Chen, Shengping Cui, Sebastian Li

CoRR, 2017

2015

Network-Based Inference Methods for Drug Repositioning.

Hailin Chen, Heng Zhang, Zuping Zhang, Yiqin Cao, Wenliang Tang

Comput. Math. Methods Medicine, 2015

2011

A Refined and Heuristic Algorithm for LD tagSNPs Selection.

Hailin Chen, Zuping Zhang, Jing Xia

Proceedings of the IEEE 10th International Conference on Trust, 2011

2009

STARNET 2: a web-based tool for accelerating discovery of gene regulatory networks using microarray co-expression data.

Daniel Jupiter, Hailin Chen, Vincent VanBuren

BMC Bioinform., 2009