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ORCIDYanru Qu
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2020 – today
- 2024
[c15]Yanru Qu, Keyue Qiu, Yuxuan Song, Jingjing Gong, Jiawei Han, Mingyue Zheng, Hao Zhou, Wei-Ying Ma:
MolCRAFT: Structure-Based Drug Design in Continuous Parameter Space. ICML 2024- [c14]Jianghao Lin
, Bo Chen, Hangyu Wang, Yunjia Xi, Yanru Qu, Xinyi Dai, Kangning Zhang, Ruiming Tang, Yong Yu, Weinan Zhang:
ClickPrompt: CTR Models are Strong Prompt Generators for Adapting Language Models to CTR Prediction. WWW 2024: 3319-3330 - [i18]Yuxuan Song, Jingjing Gong, Yanru Qu, Hao Zhou, Mingyue Zheng, Jingjing Liu, Wei-Ying Ma:
Unified Generative Modeling of 3D Molecules via Bayesian Flow Networks. CoRR abs/2403.15441 (2024) - [i17]Yanru Qu, Keyue Qiu, Yuxuan Song, Jingjing Gong, Jiawei Han, Mingyue Zheng, Hao Zhou, Wei-Ying Ma:
MolCRAFT: Structure-Based Drug Design in Continuous Parameter Space. CoRR abs/2404.12141 (2024) - 2023
- [c13]Jianghao Lin, Yanru Qu, Wei Guo, Xinyi Dai, Ruiming Tang, Yong Yu, Weinan Zhang:
MAP: A Model-agnostic Pretraining Framework for Click-through Rate Prediction. KDD 2023: 1384-1395 - [i16]Jianghao Lin, Yanru Qu, Wei Guo, Xinyi Dai, Ruiming Tang, Yong Yu, Weinan Zhang:
MAP: A Model-agnostic Pretraining Framework for Click-through Rate Prediction. CoRR abs/2308.01737 (2023) - [i15]Jianghao Lin, Bo Chen, Hangyu Wang, Yunjia Xi, Yanru Qu, Xinyi Dai, Kangning Zhang, Ruiming Tang, Yong Yu, Weinan Zhang:
ClickPrompt: CTR Models are Strong Prompt Generators for Adapting Language Models to CTR Prediction. CoRR abs/2310.09234 (2023) - 2021
- [c12]Yanru Qu, Dinghan Shen, Yelong Shen, Sandra Sajeev, Weizhu Chen, Jiawei Han:
CoDA: Contrast-enhanced and Diversity-promoting Data Augmentation for Natural Language Understanding. ICLR 2021 - [c11]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:
Task-wise Split Gradient Boosting Trees for Multi-center Diabetes Prediction. KDD 2021: 2663-2673 - [c10]Haoyang Wen, Yanru Qu, Heng Ji, Qiang Ning, Jiawei Han, Avi Sil, Hanghang Tong, Dan Roth:
Event Time Extraction and Propagation via Graph Attention Networks. NAACL-HLT 2021: 62-73 - [i14]Mingcheng Chen, Zhenghui Wang, Zhiyun Zhao, Weinan Zhang, Xiawei Guo, Jian Shen, Yanru Qu, Jieli Lu, Min Xu, Yu Xu, Tiange Wang, Mian Li, Wei-Wei Tu, Yong Yu, Yufang Bi, Weiqing Wang, Guang Ning:
Task-wise Split Gradient Boosting Trees for Multi-center Diabetes Prediction. CoRR abs/2108.07107 (2021) - 2020
- [c9]Yuning Mao, Yanru Qu, Yiqing Xie, Xiang Ren, Jiawei Han:
Multi-document Summarization with Maximal Marginal Relevance-guided Reinforcement Learning. EMNLP (1) 2020: 1737-1751 - [c8]Yang Yang, Jian Shen, Yanru Qu, Yunfei Liu, Kerong Wang, Yaoming Zhu, Weinan Zhang, Yong Yu:
GIKT: A Graph-Based Interaction Model for Knowledge Tracing. ECML/PKDD (1) 2020: 299-315 - [i13]Yang Yang, Jian Shen, Yanru Qu, Yunfei Liu, Kerong Wang, Yaoming Zhu, Weinan Zhang, Yong Yu:
GIKT: A Graph-based Interaction Model for Knowledge Tracing. CoRR abs/2009.05991 (2020) - [i12]Dinghan Shen, Mingzhi Zheng, Yelong Shen, Yanru Qu, Weizhu Chen:
A Simple but Tough-to-Beat Data Augmentation Approach for Natural Language Understanding and Generation. CoRR abs/2009.13818 (2020) - [i11]Yuning Mao, Yanru Qu, Yiqing Xie, Xiang Ren, Jiawei Han:
Multi-document Summarization with Maximal Marginal Relevance-guided Reinforcement Learning. CoRR abs/2010.00117 (2020) - [i10]Yanru Qu, Dinghan Shen, Yelong Shen, Sandra Sajeev, Jiawei Han, Weizhu Chen:
CoDA: Contrast-enhanced and Diversity-promoting Data Augmentation for Natural Language Understanding. CoRR abs/2010.08670 (2020)
2010 – 2019
- 2019
- [j1]Yanru Qu, Bohui Fang, Weinan Zhang, Ruiming Tang, Minzhe Niu, Huifeng Guo, Yong Yu, Xiuqiang He:
Product-Based Neural Networks for User Response Prediction over Multi-Field Categorical Data. ACM Trans. Inf. Syst. 37(1): 5:1-5:35 (2019) - [c7]Lin Qiu, Yunxuan Xiao, Yanru Qu, Hao Zhou, Lei Li, Weinan Zhang, Yong Yu:
Dynamically Fused Graph Network for Multi-hop Reasoning. ACL (1) 2019: 6140-6150 - [c6]Liheng Chen, Yanru Qu, Zhenghui Wang, Lin Qiu, Weinan Zhang, Ken Chen, Shaodian Zhang, Yong Yu:
Sampled in Pairs and Driven by Text: A New Graph Embedding Framework. WWW 2019: 2644-2651 - [i9]Yunxuan Xiao, Yanru Qu, Lin Qiu, Hao Zhou, Lei Li, Weinan Zhang, Yong Yu:
Dynamically Fused Graph Network for Multi-hop Reasoning. CoRR abs/1905.06933 (2019) - [i8]Yanru Qu, Ting Bai, Weinan Zhang, Jian-Yun Nie, Jian Tang:
An End-to-End Neighborhood-based Interaction Model for Knowledge-enhanced Recommendation. CoRR abs/1908.04032 (2019) - 2018
- [c5]Jian Shen, Yanru Qu, Weinan Zhang, Yong Yu:
Wasserstein Distance Guided Representation Learning for Domain Adaptation. AAAI 2018: 4058-4065 - [c4]Zhenghui Wang, Yanru Qu, Liheng Chen, Jian Shen, Weinan Zhang, Shaodian Zhang, Yimei Gao, Gen Gu, Ken Chen, Yong Yu:
Label-Aware Double Transfer Learning for Cross-Specialty Medical Named Entity Recognition. NAACL-HLT 2018: 1-15 - [c3]Lin Qiu, Hao Zhou, Yanru Qu, Weinan Zhang, Suoheng Li, Shu Rong, Dongyu Ru, Lihua Qian, Kewei Tu, Yong Yu:
QA4IE: A Question Answering Based Framework for Information Extraction. ISWC (1) 2018: 198-216 - [i7]Minzhe Niu, Weinan Zhang, Yanru Qu, Xuezhi Cao, Ruiming Tang, Xiuqiang He, Yong Yu:
Collaborative Filtering with Graph-based Implicit Feedback. CoRR abs/1803.03502 (2018) - [i6]Lin Qiu, Hao Zhou, Yanru Qu, Weinan Zhang, Suoheng Li, Shu Rong, Dongyu Ru, Lihua Qian, Kewei Tu, Yong Yu:
QA4IE: A Question Answering based Framework for Information Extraction. CoRR abs/1804.03396 (2018) - [i5]Zhenghui Wang, Yanru Qu, Liheng Chen, Jian Shen, Weinan Zhang, Shaodian Zhang, Yimei Gao, Gen Gu, Ken Chen, Yong Yu:
Label-aware Double Transfer Learning for Cross-Specialty Medical Named Entity Recognition. CoRR abs/1804.09021 (2018) - [i4]Yanru Qu, Bohui Fang, Weinan Zhang, Ruiming Tang, Minzhe Niu, Huifeng Guo, Yong Yu, Xiuqiang He:
Product-based Neural Networks for User Response Prediction over Multi-field Categorical Data. CoRR abs/1807.00311 (2018) - [i3]Liheng Chen, Yanru Qu, Zhenghui Wang, Lin Qiu, Weinan Zhang, Ken Chen, Shaodian Zhang, Yong Yu:
TGE-PS: Text-driven Graph Embedding with Pairs Sampling. CoRR abs/1809.04234 (2018) - 2017
- [i2]Jian Shen, Yanru Qu, Weinan Zhang, Yong Yu:
Adversarial Representation Learning for Domain Adaptation. CoRR abs/1707.01217 (2017) - 2016
- [c2]Yanru Qu, Han Cai, Kan Ren, Weinan Zhang, Yong Yu, Ying Wen, Jun Wang:
Product-Based Neural Networks for User Response Prediction. ICDM 2016: 1149-1154 - [i1]Yanru Qu, Han Cai, Kan Ren, Weinan Zhang, Yong Yu, Ying Wen, Jun Wang:
Product-based Neural Networks for User Response Prediction. CoRR abs/1611.00144 (2016) - 2015
- [c1]Lang Wang, Jian Cao, Yanru Qu:
A Prediction Based Capacity Planning Strategy for Virtual Servers. DSDIS 2015: 46-52
Coauthor Index
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