Jian‐Yu Shi

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All published works

Action	Title	Year	Authors
+	TCM-GPT: Efficient pre-training of large language models for domain adaptation in Traditional Chinese Medicine	2024	Guoxing Yang Xiaohong Liu Jian‐Yu Shi Zan Wang Guangyu Wang
+ PDF Chat	Comprehensive evaluation of deep and graph learning on drug–drug interactions prediction	2023	Xuan Lin Lihua Dai Yafang Zhou Zu‐Guo Yu Wen Zhang Jian‐Yu Shi Dongsheng Cao Zeng Li Haowen Chen Bosheng Song
+	TCM-GPT: Efficient Pre-training of Large Language Models for Domain Adaptation in Traditional Chinese Medicine	2023	Guoxing Yang Jian‐Yu Shi Zan Wang Xiaohong Liu Guangyu Wang
+ PDF Chat	STNN-DDI: a Substructure-aware Tensor Neural Network to predict Drug–Drug Interactions	2022	Hui Yu Shiyu Zhao Jian‐Yu Shi
+ PDF Chat	STNN-DDI: A Substructure-aware Tensor Neural Network to Predict Drug-Drug Interactions	2021	Hui Yu ShiYu Zhao Jian‐Yu Shi
+	STNN-DDI: A Substructure-aware Tensor Neural Network to Predict Drug-Drug Interactions	2021	Hui Yu ShiYu Zhao Jian‐Yu Shi

Common Coauthors

Coauthor	Papers Together
Hui Yu	3
ShiYu Zhao	2
Zan Wang	2
Guoxing Yang	2
Bosheng Song	1
Philip S. Yu	1
Zeng Li	1
Shiyu Zhao	1
Lihua Dai	1
Dongsheng Cao	1
Xiaohong Liu	1
Xiaohong Liu	1
Wen Zhang	1
Guangyu Wang	1
Guangyu Wang	1
Yafang Zhou	1
Haowen Chen	1
Zu‐Guo Yu	1
Xiangxiang Zeng	1
Xuan Lin	1

Commonly Cited References

Action	Title	Year	Authors	# of times referenced
+	Language Models are Few-Shot Learners	2020	T. B. Brown Benjamin F. Mann Nick Ryder Melanie Subbiah Jared Kaplan Prafulla Dhariwal Arvind Neelakantan Pranav Shyam Girish Sastry Amanda Askell	2
+ PDF Chat	BioBERT: a pre-trained biomedical language representation model for biomedical text mining	2019	Jinhyuk Lee Wonjin Yoon Sungdong Kim Donghyeon Kim Sunkyu Kim Chan Ho So Jaewoo Kang	2
+ PDF Chat	Tensor factorization using auxiliary information	2012	Atsuhiro Narita Kohei Hayashi Ryota Tomioka Hisashi Kashima	1
+	A Three-Way Model for Collective Learning on Multi-Relational Data	2011	Maximilian Nickel Volker Tresp Hans‐Peter Kriegel	1
+	Sequence to Sequence Learning with Neural Networks	2014	Ilya Sutskever Oriol Vinyals Quoc V. Le	1
+	Simultaneous Modeling of Pharmacokinetics and Pharmacodynamics with a Nonparametric Pharmacodynamic Model	1984	Eliane Fuseau Lewis B. Sheiner	1
+	The reporting odds ratio and its advantages over the proportional reporting ratio	2004	Kenneth J. Rothman Stephan Lanes Susan T. Sacks	1
+	Tensor Decomposition for Signal Processing and Machine Learning	2017	Nicholas D. Sidiropoulos Lieven De Lathauwer Xiao Fu Kejun Huang Evangelos E. Papalexakis Christos Faloutsos	1
+ PDF Chat	<i>struc2vec</i>	2017	Leonardo F. R. Ribeiro Pedro H.P. Saverese Daniel R. Figueiredo	1
+	Introduction to Tensor Decompositions and their Applications in Machine Learning	2017	Stephan Rabanser Oleksandr Shchur Stephan Günnemann	1
+	Predicting Rich Drug-Drug Interactions via Biomedical Knowledge Graphs and Text Jointly Embedding	2017	Meng Wang Yihe Chen Buyue Qian Jun Liu Sen Wang Guodong Long Fei Wang	1
+ PDF Chat	Modeling polypharmacy side effects with graph convolutional networks	2018	Marinka Žitnik Monica Agrawal Jure Leskovec	1
+	BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding	2018	Jacob Devlin Ming‐Wei Chang Kenton Lee Kristina Toutanova	1
+	Drug-Drug Adverse Effect Prediction with Graph Co-Attention	2019	Andreea Deac Yu-Hsiang Huang Petar Veličković Píetro Lió Jian Tang	1
+	Semi-Supervised Classification with Graph Convolutional Networks	2016	Thomas Kipf Max Welling	1
+	Convolutional Networks on Graphs for Learning Molecular Fingerprints	2015	David Duvenaud Dougal Maclaurin Jorge Aguilera‐Iparraguirre Rafael Gómez‐Bombarelli Timothy Hirzel Alán Aspuru‐Guzik Ryan P. Adams	1
+ PDF Chat	Drug-Drug Interaction Prediction Based on Knowledge Graph Embeddings and Convolutional-LSTM Network	2019	Md. Rezaul Karim Michael Cochez Joao Jares Mamtaz Uddin Oya Beyan Stefan Decker	1
+ PDF Chat	Graph embedding on biomedical networks: methods, applications and evaluations	2019	Xiang Yue Zhen Wang Jingong Huang Srinivasan Parthasarathy Soheil Moosavinasab Yungui Huang Simon Lin Wen Zhang Ping Zhang Huan Sun	1
+	DistilBERT, a distilled version of BERT: smaller, faster, cheaper and lighter	2019	Victor Sanh Lysandre Debut Julien Chaumond Thomas Wolf	1
+	ALBERT: A Lite BERT for Self-supervised Learning of Language Representations	2019	Zhenzhong Lan Mingda Chen Sebastian Goodman Kevin Gimpel Piyush Sharma Radu Soricut	1
+ PDF Chat	CASTER: Predicting Drug Interactions with Chemical Substructure Representation	2020	Kexin Huang Cao Xiao Dô Trong Hoang Lucas M. Glass Jimeng Sun	1
+	A Survey on Knowledge Graphs: Representation, Acquisition, and Applications	2021	Shaoxiong Ji Shirui Pan Erik Cambria Pekka Marttinen Philip S. Yu	1
+ PDF Chat	FRnet-DTI: Deep convolutional neural network for drug-target interaction prediction	2020	Farshid Rayhan Sajid Ahmed Zaynab Mousavian Dewan Md. Farid Swakkhar Shatabda	1
+ PDF Chat	MolTrans: Molecular Interaction Transformer for drug–target interaction prediction	2020	Kexin Huang Cao Xiao Lucas M. Glass Jimeng Sun	1
+ PDF Chat	OpenBioLink: a benchmarking framework for large-scale biomedical link prediction	2020	Anna Breit Simon Ott Asan Agibetov Matthias Samwald	1
+	Don’t Stop Pretraining: Adapt Language Models to Domains and Tasks	2020	Suchin Gururangan Ana Marasović Swabha Swayamdipta Kyle Lo Iz Beltagy Doug Downey Noah A. Smith	1
+	Bidirectional Encoder Representations from Transformers (BERT): A sentiment analysis odyssey.	2020	Shivaji Alaparthi Manit Mishra	1
+ PDF Chat	SumGNN: multi-typed drug interaction prediction via efficient knowledge graph summarization	2021	Yue Yu Kexin Huang Chao Zhang Lucas M. Glass Jimeng Sun Cao Xiao	1
+ PDF Chat	Predicting Biomedical Interactions With Higher-Order Graph Convolutional Networks	2021	Kishan KC Rui Li Feng Cui Anne R. Haake	1
+	An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale	2020	Alexey Dosovitskiy Lucas Beyer Alexander Kolesnikov Dirk Weissenborn Xiaohua Zhai Thomas Unterthiner Mostafa Dehghani Matthias Minderer Georg Heigold Sylvain Gelly	1
+ PDF Chat	Drug–drug interaction prediction with Wasserstein Adversarial Autoencoder-based knowledge graph embeddings	2020	Yuanfei Dai Chenhao Guo Wenzhong Guo Carsten Eickhoff	1
+ PDF Chat	DTF: Deep Tensor Factorization for predicting anticancer drug synergy	2020	Zexuan Sun Shujun Huang Peiran Jiang Pingzhao Hu	1
+	An Empirical Investigation Towards Efficient Multi-Domain Language Model Pre-training	2020	Kristjan Arumae Qing Sun Parminder Bhatia	1
+ PDF Chat	DeepWalk	2014	Bryan Perozzi Rami Al‐Rfou Steven Skiena	1
+ PDF Chat	Knowledge Graph Convolutional Networks for Recommender Systems	2019	Hongwei Wang Miao Zhao Xing Xie Wenjie Li Minyi Guo	1
+ PDF Chat	A review of biomedical datasets relating to drug discovery: a knowledge graph perspective	2022	Stephen Bonner Ian P. Barrett Cheng Ye Rowan Swiers Ola Engkvist Andreas Bender Charles Tapley Hoyt William L. Hamilton	1
+	LoRA: Low-Rank Adaptation of Large Language Models	2021	J. Edward Hu Yelong Shen Phillip Wallis Zeyuan Allen-Zhu Yuanzhi Li Shean Wang Weizhu Chen	1
+	GeoMol: Torsional Geometric Generation of Molecular 3D Conformer Ensembles	2021	Octavian-Eugen Ganea Lagnajit Pattanaik Connor W. Coley Regina Barzilay Klavs F. Jensen William H. Green Tommi Jaakkola	1
+	Pre-trained models: Past, present and future	2021	Xu Han Zhengyan Zhang Ning Ding Yuxian Gu Xiao Liu Yuqi Huo Jiezhong Qiu Yuan Yao Ao Zhang Liang Zhang	1
+	Lifelong Pretraining: Continually Adapting Language Models to Emerging Corpora	2022	Xisen Jin Dejiao Zhang Henghui Zhu Wei Xiao Shang-Wen Li Xiaokai Wei Andrew Arnold Xiang Ren	1
+ PDF Chat	STNN-DDI: a Substructure-aware Tensor Neural Network to predict Drug–Drug Interactions	2022	Hui Yu Shiyu Zhao Jian‐Yu Shi	1
+ PDF Chat	Deep learning for drug repurposing: Methods, databases, and applications	2022	Xiaoqin Pan Xuan Lin Dongsheng Cao Xiangxiang Zeng Philip S. Yu Lifang He Ruth Nussinov Feixiong Cheng	1
+ PDF Chat	Geometry-enhanced molecular representation learning for property prediction	2022	Xiaomin Fang Lihang Liu Jieqiong Lei Donglong He Shanzhuo Zhang Jingbo Zhou Fan Wang Hua Wu Haifeng Wang	1
+ PDF Chat	Molecular contrastive learning of representations via graph neural networks	2022	Yuyang Wang Jianren Wang Zhonglin Cao Amir Barati Farimani	1
+	PaLM: Scaling Language Modeling with Pathways	2022	Aakanksha Chowdhery Sharan Narang Jacob Devlin Maarten Bosma Gaurav Mishra Adam Roberts Paul Barham Hyung Won Chung Charles Sutton Sebastian Gehrmann	1
+ PDF Chat	Lifelong Pretraining: Continually Adapting Language Models to Emerging Corpora	2022	Xisen Jin Dejiao Zhang Henghui Zhu Wei Xiao Shang-Wen Li Xiaokai Wei Andrew Arnold Xiang Ren	1
+	Inductive Representation Learning on Large Graphs	2017	William L. Hamilton Rex Ying Jure Leskovec	1
+ PDF Chat	Molecular Substructure-Aware Network for Drug-Drug Interaction Prediction	2022	Xinyu Zhu Yongliang Shen Weiming Lü	1
+	BLOOM: A 176B-Parameter Open-Access Multilingual Language Model	2022	Teven Le Scao Angela Fan Christopher Akiki Ellie Pavlick Suzana Ilić Daniel Hesslow Roman Castagné Alexandra Sasha Luccioni François Yvon Matthias Gallé	1
+	Rethinking with Retrieval: Faithful Large Language Model Inference	2023	Hangfeng He Hongming Zhang Dan Roth	1