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Hailin Chen
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2020 – today
- 2024
- [j15]Hailin Chen, Kuan Chen:
Predicting disease-associated microbes based on similarity fusion and deep learning. Briefings Bioinform. 25(6) (2024) - [j14]Hailin Chen, Jonathan Hale, Laura Hanks:
Archive or exhibition?: A comparative case study of the real and virtual Pitt Rivers Museum. Digit. Appl. Archaeol. Cult. Heritage 32: 00305 (2024) - [j13]Ruofan Zhang, Jialiang Peng, Hailin Chen, Hao Peng, Yi Wang, Ping Jiang:
Enhancing Aboveground Biomass Prediction through Integration of the SCDR Paradigm into the U-Like Hierarchical Residual Fusion Model. Sensors 24(8): 2464 (2024) - [c10]Hung Le, Hailin Chen, Amrita Saha, Akash Gokul, Doyen Sahoo, Shafiq Joty:
CodeChain: Towards Modular Code Generation Through Chain of Self-revisions with Representative Sub-modules. ICLR 2024 - [i9]Mathieu Ravaut, Bosheng Ding, Fangkai Jiao, Hailin Chen, Xingxuan Li, Ruochen Zhao, Chengwei Qin, Caiming Xiong, Shafiq Joty:
How Much are LLMs Contaminated? A Comprehensive Survey and the LLMSanitize Library. CoRR abs/2404.00699 (2024) - [i8]Xuan-Phi Nguyen, Shrey Pandit, Senthil Purushwalkam, Austin Xu, Hailin Chen, Yifei Ming, Zixuan Ke, Silvio Savarese, Caiming Xong, Shafiq Joty:
SFR-RAG: Towards Contextually Faithful LLMs. CoRR abs/2409.09916 (2024) - 2023
- [j12]Wengang Wang, Hailin Chen:
Predicting miRNA-disease associations based on lncRNA-miRNA interactions and graph convolution networks. Briefings Bioinform. 24(1) (2023) - [j11]Bo Yang, Hailin Chen:
Predicting circRNA-drug sensitivity associations by learning multimodal networks using graph auto-encoders and attention mechanism. Briefings Bioinform. 24(1) (2023) - [c9]Ruochen Zhao, Hailin Chen, Weishi Wang, Fangkai Jiao, Do Xuan Long, Chengwei Qin, Bosheng Ding, Xiaobao Guo, Minzhi Li, Xingxuan Li, Shafiq Joty:
Retrieving Multimodal Information for Augmented Generation: A Survey. EMNLP (Findings) 2023: 4736-4756 - [c8]Hailin Chen, Amrita Saha, Steven Chu-Hong Hoi, Shafiq Joty:
Personalized Distillation: Empowering Open-Sourced LLMs with Adaptive Learning for Code Generation. EMNLP 2023: 6737-6749 - [i7]Ruochen Zhao, Hailin Chen, Weishi Wang, Fangkai Jiao, Xuan Long Do, Chengwei Qin, Bosheng Ding, Xiaobao Guo, Minzhi Li, Xingxuan Li, Shafiq R. Joty:
Retrieving Multimodal Information for Augmented Generation: A Survey. CoRR abs/2303.10868 (2023) - [i6]Mathieu Ravaut, Hailin Chen, Ruochen Zhao, Chengwei Qin, Shafiq Joty, Nancy F. Chen:
PromptSum: Parameter-Efficient Controllable Abstractive Summarization. CoRR abs/2308.03117 (2023) - [i5]Hung Le, Hailin Chen, Amrita Saha, Akash Gokul, Doyen Sahoo, Shafiq Joty:
CodeChain: Towards Modular Code Generation Through Chain of Self-revisions with Representative Sub-modules. CoRR abs/2310.08992 (2023) - [i4]Hailin Chen, Amrita Saha, Steven C. H. Hoi, Shafiq Joty:
Personalised Distillation: Empowering Open-Sourced LLMs with Adaptive Learning for Code Generation. CoRR abs/2310.18628 (2023) - [i3]Hailin Chen, Fangkai Jiao, Xingxuan Li, Chengwei Qin, Mathieu Ravaut, Ruochen Zhao, Caiming Xiong, Shafiq Joty:
ChatGPT's One-year Anniversary: Are Open-Source Large Language Models Catching up? CoRR abs/2311.16989 (2023) - 2022
- [j10]Wengang Wang, Hailin Chen:
Predicting miRNA-disease associations based on graph attention networks and dual Laplacian regularized least squares. Briefings Bioinform. 23(5) (2022) - [j9]Ruiyu Guo, Hailin Chen, Wengang Wang, Guangsheng Wu, Fangliang Lv:
Predicting potential miRNA-disease associations based on more reliable negative sample selection. BMC Bioinform. 23(1): 432 (2022) - [c7]Hailin Chen, Amrita Saha, Shafiq R. Joty, Steven C. H. Hoi:
Learning Label Modular Prompts for Text Classification in the Wild. EMNLP 2022: 1677-1690 - [i2]Hailin Chen, Amrita Saha, Shafiq R. Joty, Steven C. H. Hoi:
Learning Label Modular Prompts for Text Classification in the Wild. CoRR abs/2211.17142 (2022) - 2021
- [j8]Hailin Chen, Zuping Zhang, Jingpu Zhang:
In silico drug repositioning based on the integration of chemical, genomic and pharmacological spaces. BMC Bioinform. 22(1): 52 (2021) - [c6]Ruikang Luo, Yicheng Zhang, Yao Zhou, Hailin Chen, Le Yang, Jianfei Yang, Rong Su:
Deep Learning Approach for Long- Term Prediction of Electric Vehicle (EV) Charging Station Availability. ITSC 2021: 3334-3339 - 2020
- [j7]Hailin Chen, Ruiyu Guo, Guanghui Li, Wei Zhang, Zuping Zhang:
Comparative analysis of similarity measurements in miRNAs with applications to miRNA-disease association predictions. BMC Bioinform. 21(1): 176 (2020) - [j6]Guanghui Li, Jiawei Luo, Diancheng Wang, Cheng Liang, Qiu Xiao, Pingjian Ding, Hailin Chen:
Potential circRNA-disease association prediction using DeepWalk and network consistency projection. J. Biomed. Informatics 112: 103624 (2020) - [c5]Jianfei Yang, Hailin Chen, Yuecong Xu, Ziji Shi, Ruikang Luo, Lihua Xie, Rong Su:
Domain Adaptation for Degraded Remote Scene Classification. ICARCV 2020: 111-117
2010 – 2019
- 2019
- [j5]Hailin Chen, Zuping Zhang, Guanghui Li:
Relating Disease-Gene Interaction Network With Disease-Associated ncRNAs. IEEE Access 7: 133521-133528 (2019) - [j4]Hailin Chen, Zuping Zhang, Dayi Feng:
Prediction and interpretation of miRNA-disease associations based on miRNA target genes using canonical correlation analysis. BMC Bioinform. 20(1): 404:1-404:8 (2019) - [c4]Feng Nie, Hailin Chen, Jinpeng Wang, Rong Pan, Chin-Yew Lin:
Beyond Word for Word: Fact Guided Training for Neural Data-to-Document Generation. NLPCC (1) 2019: 525-538 - 2018
- [j3]Hailin Chen, Zuping Zhang:
Prediction of Drug-Disease Associations for Drug Repositioning Through Drug-miRNA-Disease Heterogeneous Network. IEEE Access 6: 45281-45287 (2018) - [c3]Xiaofeng Liu, Hailin Chen, Chengcheng Wang, Fang Hu, Xianqiang Yang:
MPC Control and Path Planning of Omni-Directional Mobile Robot with Potential Field Method. ICIRA (2) 2018: 170-181 - [c2]Xiaofeng Liu, Hailin Chen, Chengcheng Wang, Fang Hu, Xianqiang Yang:
MPC Control and Path Planning of Omni-Directional Mobile Robot with Potential Field Method. RCAR 2018: 634-638 - 2017
- [i1]Hailin Chen, Shengping Cui, Sebastian Li:
Application of Transfer Learning Approaches in Multimodal Wearable Human Activity Recognition. CoRR abs/1707.02412 (2017) - 2015
- [j2]Hailin Chen, Heng Zhang, Zuping Zhang, Yiqin Cao, Wenliang Tang:
Network-Based Inference Methods for Drug Repositioning. Comput. Math. Methods Medicine 2015: 130620:1-130620:7 (2015) - 2011
- [c1]Hailin Chen, Zuping Zhang, Jing Xia:
A Refined and Heuristic Algorithm for LD tagSNPs Selection. TrustCom 2011: 1691-1694
2000 – 2009
- 2009
- [j1]Daniel Jupiter, Hailin Chen, Vincent VanBuren:
STARNET 2: a web-based tool for accelerating discovery of gene regulatory networks using microarray co-expression data. BMC Bioinform. 10: 332 (2009)
Coauthor Index
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last updated on 2024-12-02 21:30 CET by the dblp team
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