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张儒清  副研究员  


                                        
研究方向：

                                        
所属部门：网络数据科学与技术重点实验室

                                        
导师类别：

                                        
联系方式：zhangruqing@ict.ac.cn

                                        
个人网页：https://daqingchong.github.io/

                                    

                                

                            


                        

                    

                

            

            

                

                    

                        

                            

                                
简       历：

                                

                                    


2022年9月 — 今：中国科学院计算技术研究所，副研究员


2019年7月 — 2022年9月：中国科学院计算技术研究所，助理研究员


2014年9月 — 2019年7月：中国科学院计算技术研究所，博士生

2010年9月 — 2014年7月：北京邮电大学，计算机学院，本科生







                                

                            

                            

                                
主要论著：

                                

                                    
期刊文章:


[1] Ruqing Zhang, Jiafeng Guo, Yixing Fan, Yanyan Lan, and Xueqi Cheng.Dual-factor Generation Model for Conversation. ACM Transactions on Information Systems (TOIS). 


[2] Ruqing Zhang, Jiafeng Guo, Lu Chen, Yixing Fan, and Xueqi Cheng. A Review on Question Generation from Natural Language Text. ACM Transactions on Information Systems (TOIS). 


[3] Chen Wu, Ruqing Zhang, Jiafeng Guo, Yixing Fan, and Xueqi Cheng. Are Neural Ranking Models Robust?. ACM Transactions on Information Systems (TOIS)


[4] Jiafeng Guo, Yinqiong Cai, Yixing Fan, Fei Sun, Ruqing Zhang, Xueqi Cheng. Semantic Models for the First-stage Retrieval: A Comprehensive Review. ACM Transactions on Information Systems (TOIS).


[5] Yixing Fan, Xiaohui Xie, Yinqiong Cai, Jia Chen, Xinyu Ma, Xiangsheng Li, Ruqing Zhang, and Jiafeng Guo.？Pre-training Methods in Information Retrieval. Foundations and Trends in Information Retrieval (FnTIR)


 


会议文章：


[1] Wenxiang Sun, Yixing Fan, Jiafeng Guo, Ruqing Zhang and Xueqi Cheng. Visual Named Entity Linking: A New Dataset and A Baseline. The 2022 Conference on Empirical Methods in Natural Language Processing (EMNLP 2022 Findings). 


[2] Jiangui Chen, Ruqing Zhang, Jiafeng Guo, Yiqun Liu, Yixing Fan and Xueqi Cheng. CorpusBrain: Pre-train a Generative Retrieval Model for Knowledge-Intensive Language Tasks. The 31st ACM International Conference on Information and Knowledge Management (CIKM2022). 


[3] Chen Wu, Ruqing Zhang, Jiafeng Guo, Wei Chen, Yixing Fan, Maarten de Rijke and Xueqi Cheng. Certified Robustness to Word Substitution Ranking Attack for Neural Ranking Models. The 31st ACM International Conference on Information and Knowledge Management (CIKM2022). 


[4] Xinyu Ma, Jiafeng Guo, Ruqing Zhang, Yixing Fan and Xueqi Cheng. Scattered or Connected? An Optimized Parameter-efficient Tuning Approach for Information Retrieval. The 31st ACM International Conference on Information and Knowledge Management (CIKM2022). 


[5] Yinqiong Cai, Jiafeng Guo, Yixing Fan, Qingyao Ai, Ruqing Zhang and Xueqi Cheng. Hard Negatives or False Negatives: Correcting Pooling Bias in Training Neural Ranking Models. The 31st ACM International Conference on Information and Knowledge Management (CIKM2022). 


[6] Xinyu Ma, Ruqing Zhang, Jiafeng Guo, Yixing Fan and Xueqi Cheng. A Contrastive Pre-training Approach to Discriminative Autoencoder for Dense Retrieval. The 31st ACM International Conference on Information and Knowledge Management (CIKM2022). 


[7] Lu Chen, Ruqing Zhang, Jiafeng Guo, Yixing Fan and Xueqi Cheng. Discriminative Language Model via Self-Teaching for Dense Retrieval. The 31st ACM International Conference on Information and Knowledge Management (CIKM2022). 


[8] Jiangui Chen, Ruqing Zhang, Jiafeng Guo, Yixing Fan, Xueqi Cheng. GERE: Generative Evidence Retrieval for Fact Verification. The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR2022). 


[9] Xinyu Ma, Jiafeng Guo, Ruqing Zhang, Yixing Fan, Xueqi Cheng. Pre-train a Discriminative Text Encoder for Dense Retrieval via Contrastive Span Prediction. The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR2022). 


[10] Sihao Yu, Jiafeng Guo, Ruqing Zhang, Yixing Fan, Zizhen Wang and Xueqi Cheng. A Re-Balancing Strategy for Class-Imbalanced Classification Based on Instance Difficulty. 2022 Conference on Computer Vision and Pattern Recognition (CVPR2022). 


[11] Jiangui Chen, Ruqing Zhang, Jiafeng Guo, Yixing Fan, and Xueqi Cheng. FedMatch: Federated Learning Over Heterogeneous Question Answering Data. 30th ACM International Conference on Information and Knowledge Management (CIKM2021). 


[12] Yinqiong Cai, Yixing Fan, Jiafeng Guo, Ruqing Zhang, Yanyan Lan and Xueqi Cheng. A Discriminative Semantic Ranker for Question Retrieval. The 7th ACM SIGIR International Conference on the Theory of Information Retrieval (ICTIR2021).


[13] Xinyu Ma, Jiafeng Guo, Ruqing Zhang, Yixing Fan, Xiang Ji, and Xueqi Cheng. B-PROP: Bootstrapped Pre-training with Representative Words Prediction for Ad-hoc Retrieval. The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR2021). 


[14] Chen Wu, Ruqing Zhang, Jiafeng Guo, Yixing Fan, Yanyan Lan, and Xueqi Cheng. Learning to Truncate Ranked Lists for Information Retrieval. The Thirty-Fifth AAAI Conference on Artificial Intelligence (AAAI2021). 


[15] Lixin Su, Ruqing Zhang, Jiafeng Guo, Yixing Fan, Jiangui Chen, Yanyan Lan, and Xueqi Cheng. Beyond Relevance: Trustworthy Answer Selection via Consensus Verification. The 14th ACM International Conference on Web Search and Data Mining (WSDM2021). 


[16] Xinyu Ma, Jiafeng Guo, Ruqing Zhang, Yixing Fan, Xiang Ji, and Xueqi Cheng. PROP: Pre-training with Representative Words Prediction for Ad-hoc Retrieval. The 14th ACM International Conference on Web Search and Data Mining (WSDM2021). 


[17] Yixing Fan, Jiafeng Guo, Xinyu Ma, Ruqing Zhang, Yanyan Lan and Xueqi Cheng. A Linguistic Study on Relevance Modeling in Information Retrieval. 30th The Web Conference (WebConf2021). 


[18] Ruqing Zhang, Jiafeng Guo, Yixing Fan, Yanyan Lan, and Xueqi Cheng. Query Understanding via Intent Description Generation. The 29th ACM International Conference on Information and Knowledge Management (CIKM2020). 


[19] Lixin Su, Jiafeng Guo, Ruqing Zhang, Yixing Fan, Yanyan Lan, and Xueqi Cheng. Continual Domain Adaptation for Machine Reading Comprehension. The 29th ACM International Conference on Information and Knowledge Management (CIKM2020). 


[20] Ruqing Zhang, Jiafeng Guo, Yixing Fan, Yanyan Lan, and Xueqi Cheng. Structure Learning for Headline Generation. The Thirty-Fourth AAAI Conference on Artificial Intelligence (AAAI 2020). 


[21] Zizhen Wang, Yixing Fan, Jiafeng Guo, Liu Yang, Ruqing Zhang, Yanyan Lan, Xueqi Cheng, Hui Jiang and Xiaozhao Wang. Match^2: A Matching over Matching Model for Similar Question Identification. Proceedings of the 43nd International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2020). 


[22] Ruqing Zhang, Jiafeng Guo, Yixing Fan, Yanyan Lan, and Xueqi Cheng. Outline Generation: Understanding the Inherent Content Structure of Documents. Proceedings of the 42nd International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2019). 


[23] Lixin Su, Jiafeng Guo, Yixing Fan, Yanyan Lan, Ruqing Zhang, and Xueqi Cheng. An Adaptive Framework for Conversational Question Answering. The Thirty-Third AAAI Conference on Artificial Intelligence (AAAI 2019). 


[24] Ruqing Zhang, Jiafeng Guo, Yixing Fan, Yanyan Lan, Jun Xu, Huanhuan Cao, and Xueqi Cheng. Question Headline Generation for News Articles. The 27th ACM International Conference on Information and Knowledge Management (CIKM 2018). 


[25] Ruqing Zhang, Jiafeng Guo, Yixing Fan, Yanyan Lan, Jun Xu, and Xueqi Cheng. Learning to Control the Specificity in Neural Response Generation. The 56th Annual Meeting of the Association for Computational Linguistics (ACL 2018). 


[26] Ruqing Zhang, Jiafeng Guo, Yanyan Lan, Jun Xu, and Xueqi Cheng. Spherical Paragraph Model. The 40th European Conference on Information Retrieval (ECIR 2018).


[27] Ruqing Zhang, Jiafeng Guo, Yanyan Lan, Jun Xu, and Xueqi Cheng. Aggregating Neural Word Embeddings for Document Representation. The 40th European Conference on Information Retrieval (ECIR 2018). 


[28] Ruqing Zhang, Jiafeng Guo, Yanyan Lan, Jun Xu, and Xueqi Cheng. Generative Paragraph Vector. The 24th China Conference on Information Retrieval (CCIR 2018). (Excellent Paper Award)

                                

                            

                            

                                
科研项目：

                                

                                    


[1] NSFC青年基金项目项目：面向领域分析的智能调研技术，2021-2023，24万，项目负责人

[2] NSFC优秀青年项目：信息检索与评价，2018-2020，130万，主要参与人

                                

                            

                            

                                
获奖及荣誉：

                                

                                    
[1] 2021年，中科院计算所，学术新百星


[2] 2021年，中科院计算所，所级优秀研究人员


[3] 2020年，中国计算机学会（CCF），优秀博士学位论文奖提名


[4] 2019年，中国科学院，院长奖


[5] 2019年，中科院计算所，所长特别奖


[6] 2018年，博士研究生国家奖学金