Yanru Qu

According to our database, Yanru Qu authored at least 21 papers between 2015 and 2024.

Collaborative distances:

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

2024

Unified Generative Modeling of 3D Molecules via Bayesian Flow Networks.

Yuxuan Song, Jingjing Gong, Yanru Qu, Hao Zhou, Mingyue Zheng, Jingjing Liu, Wei-Ying Ma

CoRR, 2024

2023

ClickPrompt: CTR Models are Strong Prompt Generators for Adapting Language Models to CTR Prediction.

Jianghao Lin, Bo Chen, Hangyu Wang, Yunjia Xi, Yanru Qu, Xinyi Dai, Kangning Zhang, Ruiming Tang, Yong Yu, Weinan Zhang

CoRR, 2023

MAP: A Model-agnostic Pretraining Framework for Click-through Rate Prediction.

Jianghao Lin, Yanru Qu, Wei Guo, Xinyi Dai, Ruiming Tang, Yong Yu, Weinan Zhang

Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

2021

Event Time Extraction and Propagation via Graph Attention Networks.

Haoyang Wen, Yanru Qu, Heng Ji, Qiang Ning, Jiawei Han, Avi Sil, Hanghang Tong, Dan Roth

Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021

Task-wise Split Gradient Boosting Trees for Multi-center Diabetes Prediction.

Mingcheng Chen, Zhenghui Wang, Zhiyun Zhao, Weinan Zhang, Xiawei Guo, Jian Shen, Yanru Qu, Jieli Lu, Min Xu, Yu Xu, Tiange Wang, Mian Li, Weiwei Tu, Yong Yu, Yufang Bi, Weiqing Wang, Guang Ning

Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

CoDA: Contrast-enhanced and Diversity-promoting Data Augmentation for Natural Language Understanding.

Yanru Qu, Dinghan Shen, Yelong Shen, Sandra Sajeev, Weizhu Chen, Jiawei Han

Proceedings of the 9th International Conference on Learning Representations, 2021

2020

A Simple but Tough-to-Beat Data Augmentation Approach for Natural Language Understanding and Generation.

Dinghan Shen, Mingzhi Zheng, Yelong Shen, Yanru Qu, Weizhu Chen

CoRR, 2020

GIKT: A Graph-Based Interaction Model for Knowledge Tracing.

Yang Yang, Jian Shen, Yanru Qu, Yunfei Liu, Kerong Wang, Yaoming Zhu, Weinan Zhang, Yong Yu

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2020

Multi-document Summarization with Maximal Marginal Relevance-guided Reinforcement Learning.

Yuning Mao, Yanru Qu, Yiqing Xie, Xiang Ren, Jiawei Han

Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

2019

Product-Based Neural Networks for User Response Prediction over Multi-Field Categorical Data.

Yanru Qu, Bohui Fang, Weinan Zhang, Ruiming Tang, Minzhe Niu, Huifeng Guo, Yong Yu, Xiuqiang He

ACM Trans. Inf. Syst., 2019

An End-to-End Neighborhood-based Interaction Model for Knowledge-enhanced Recommendation.

Yanru Qu, Ting Bai, Weinan Zhang, Jian-Yun Nie, Jian Tang

CoRR, 2019

Sampled in Pairs and Driven by Text: A New Graph Embedding Framework.

Liheng Chen, Yanru Qu, Zhenghui Wang, Lin Qiu, Weinan Zhang, Ken Chen, Shaodian Zhang, Yong Yu

Proceedings of the World Wide Web Conference, 2019

Dynamically Fused Graph Network for Multi-hop Reasoning.

Lin Qiu, Yunxuan Xiao, Yanru Qu, Hao Zhou, Lei Li, Weinan Zhang, Yong Yu

Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

2018

TGE-PS: Text-driven Graph Embedding with Pairs Sampling.

Liheng Chen, Yanru Qu, Zhenghui Wang, Lin Qiu, Weinan Zhang, Ken Chen, Shaodian Zhang, Yong Yu

CoRR, 2018

Collaborative Filtering with Graph-based Implicit Feedback.

Minzhe Niu, Weinan Zhang, Yanru Qu, Xuezhi Cao, Ruiming Tang, Xiuqiang He, Yong Yu

CoRR, 2018

QA4IE: A Question Answering Based Framework for Information Extraction.

Lin Qiu, Hao Zhou, Yanru Qu, Weinan Zhang, Suoheng Li, Shu Rong, Dongyu Ru, Lihua Qian, Kewei Tu, Yong Yu

Proceedings of the Semantic Web - ISWC 2018, 2018

Label-Aware Double Transfer Learning for Cross-Specialty Medical Named Entity Recognition.

Zhenghui Wang, Yanru Qu, Liheng Chen, Jian Shen, Weinan Zhang, Shaodian Zhang, Yimei Gao, Gen Gu, Ken Chen, Yong Yu

Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2018

Wasserstein Distance Guided Representation Learning for Domain Adaptation.

Jian Shen, Yanru Qu, Weinan Zhang, Yong Yu

Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017

Adversarial Representation Learning for Domain Adaptation.

Jian Shen, Yanru Qu, Weinan Zhang, Yong Yu

CoRR, 2017

2016

Product-Based Neural Networks for User Response Prediction.

Yanru Qu, Han Cai, Kan Ren, Weinan Zhang, Yong Yu, Ying Wen, Jun Wang

Proceedings of the IEEE 16th International Conference on Data Mining, 2016

2015

A Prediction Based Capacity Planning Strategy for Virtual Servers.

Lang Wang, Jian Cao, Yanru Qu

Proceedings of the IEEE International Conference on Data Science and Data Intensive Systems, 2015