视频简介

海报

工作经历

  • 中国人民大学高瓴人工智能学院，教授（长聘副教授）, 2020年10月-至今
  • 中国人民大学信息学院，教授, 2020年9月-2020年10月
  • 中国人民大学信息学院，副教授, 2017年8月-2020年8月
  • 中国人民大学信息学院，讲师, 2014年8月-2017年8月
  • 科大讯飞北京研究院，访问学者，2018年8月-至今
  • 百度人工智能部，访问学者，2018年1月-2018年3月
  • 微软亚洲研究院，铸星计划访问研究员， 2017年3月-2017年8月
  • 微软亚洲研究院，实习生, 2013年9月 - 2014年1月
  • 微软亚洲研究院，实习生, 2013年4月 - 2013年7月
  • 新加坡管理大学，访问学生, 2010年3月 - 2011年1月

研究方向

1. 大语言模型（类 ChatGPT）的训练、微调以及提示工程

推荐联系我组的同学 ，可以 阅读 《A Survey of Large Language Models》英文综述和《大语言模型 》中文书，了解我所从事的研究方向。

2. 自然语言处理
3. 信息检索与推荐系统


（2024年9月入学的考研硕士名额仍然有空缺，欢迎大家联系）

学生要求

小组主页：
http://aibox.ruc.edu.cn/

小组知乎：
https://zhuanlan.zhihu.com/RucAIBox

小组GitHub：
https://github.com/RUCAIBox/

小组微信号：
rucaibox

教授课程

  • 1、人工智能与python程序设计（本科）
  • 2、自然语言处理导论（本科）

科研项目

  • 受到国家自然科学基金以及多项横向企业资助

学术论文

2021
A Novel Macro-Micro Fusion Network for User Representation Learning on Mobile Apps
Shuqing Bian, Xin Zhao, Kun Zhou, Xu Chen, Jing Cai, Yancheng He, Xingji Luo and Ji-Rong Wen
WWW 
Dual Sparse Attention Network for Session-Based Recommendation
Jiahao Yuan, Mingyou Sun, Zihan Song, Xiaoling Wang, Wayne Xin Zhao
AAAI 
RocketQA: An Optimized Training Approach to Dense Passage Retrieval for Open-Domain Question Answering
Yingqi Qu, Yuchen Ding, Jing Liu, Kai Liu, Ruiyang Ren, Wayne Xin Zhao, Daxiang Dong, Hua Wu and Haifeng Wang
NAACL
Personalized Route Recommendation with Neural Network Enhanced A∗ Search Algorithm
Jingyuan Wang, Ning Wu, and Wayne Xin Zhao
IEEE TKDE
Knowledge-based Review Generation by Coherence Enhanced Text Planning
Junyi Li, Wayne Xin Zhao, Zhicheng Wei, Nicholas Jing Yuan and Ji-Rong Wen
SIGIR
Lighter and Better: Low-Rank Decomposed Self-Attention Networks for Next-Item Recommendation
Xinyan Fan, Zheng Liu, Jianxun Lian, Wayne Xin Zhao, Xing Xie, and Ji-Rong Wen
SIGIR (Short paper)
Pretrained Language Model for Text Generation: A Survey
Junyi Li∗, Tianyi Tang∗, Wayne Xin Zhao and Ji-Rong Wen
IJCAI (Survey Track)
A Survey on Complex Knowledge Base Question Answering: Methods, Challenges and Solutions
Yunshi Lan∗ , Gaole He∗ , Jinhao Jiang, Jing Jiang, Xin Zhao and Ji-Rong Wen
IJCAI (Survey Track)
Knowledge-Guided Disentangled Representation Learning for Recommender Systems
Shanlei Mu, Yaliang Li, Wayne Xin Zhao, Siqing Li and Ji-Rong Wen
TOIS 
Few-shot Knowledge Graph-to-Text Generation with Pretrained Language Models
Junyi Li, Tianyi Tang, Wayne Xin Zhao, Ji-Rong Wen
ACL (Findings)
Leveraging Passage-Centric Similarity Relation for Improving Dense Passage Retrieval
Ruiyang Ren*, Shangwen Lv*, Yingqi Qu, Jing Liu, Wayne Xin Zhao, Qiaoqiao She, Hua Wu, Haifeng Wang, Ji-Rong Wen
ACL (Findings)
Enabling Lightweight Fine-tuning for Pre-trained Language Model Compression based on Matrix Product Operators
Peiyu Liu*, Ze-Feng Gao*, Wayne Xin Zhao, Zhi-Yuan Xie, Zhong-Yi Lu and Ji-Rong Wen
ACL 
Data Poisoning Attack against Recommender System Using Incomplete and Perturbed Data
Hengtong Zhang*, Changxin Tian*, Yaliang Li, Lu Su, Jing Gao, Nan Yang, Wayne Xin Zhao
KDD 
RAPT: Pre-training of Time-Aware Transformer for Learning Robust Healthcare Representation
Houxing Ren, Jingyuan Wang, Wayne Xin Zhao, Ning Wu
KDD (Applied Data Science Track)
Learning Reliable User Representations from Volatile and Sparse Data to Accurately Predict Customer Lifetime Value
Mingzhe Xing, Shuqing Bian, Wayne Xin Zhao, Zhen Xiao, Xinji Luo, Cunxiang Yin, Jing Cai, Yancheng He
KDD (Applied Data Science Track)
Debiasing Learning based Cross-domain Recommendation
Siqing Li, Liuyi Yao, Shanlei Mu, Wayne Xin Zhao, Yaliang Li, Tonglei Guo, Bolin Ding and Ji-Rong Wen
KDD (Applied Data Science Track)
Interpretable Aspect-aware Capsule Network for Peer Review based Citation Count Prediction
Siqing Li, Yaliang Li, Wayne Xin Zhao, Bolin Ding and Ji-Rong Wen
TOIS 
CRSLab: An Open-Source Toolkit for Building Conversational Recommender System
Kun Zhou, Xiaolei Wang, Yuanhang Zhou, Chenzhan Shang, Yuan Cheng, Wayne Xin Zhao, Yaliang Li, Ji-Rong Wen
ACL (Demo)
TextBox: A Unified, Modularized, and Extensible Framework for Text Generation
Junyi Li, Tianyi Tang, Gaole He, Jinhao Jiang, Xiaoxuan Hu, Puzhao Xie, Zhipeng Chen, Zhuohao Yu, Wayne Xin Zhao, Ji-Rong Wen
ACL (Demo)
Generating Long and Coherent Text with Multi-Level Generative Adversarial Networks
Tianyi Tang, Junyi Li, Wayne Xin Zhao, Ji-Rong Wen
APWeb-WAIM
2020
Mining Implicit Entity Preference from User-Item Interaction Data for Knowledge Graph Completion via Adversarial Learning
Gaole He, Junyi Li, Wayne Xin Zhao, Peiju Liu, Ji-Rong Wen
WWW
Improving Multi-Turn Response Selection Models with Complementary Last-Utterance Selection by Instance Weighting
Kun Zhou, Wayne Xin Zhao, Yutao Zhu, Ji-Rong Wen, Jingsong Yu
PAKDD
KERL: A Knowledge-Guided Reinforcement Learning Model for Sequential Recommendation
Pengfei Wang, Yu Fan, Long Xia, Wayne Xin Zhao, Shaozhang Niu, Jimmy Huang
SIGIR
Sequential Recommendation with Self-Attentive Multi-Adversarial Network
Ruiyang Ren, Zhaoyang Liu, Yaliang Li, Wayne Xin Zhao, Hui Wang, Bolin Ding, Ji-Rong Wen
SIGIR
Improving Conversational Recommender Systems via Knowledge Graph based Semantic Fusion
Kun Zhou, Wayne Xin Zhao, Shuqing Bian, Yuanhang Zhou, Ji-Rong Wen, Jingsong Yu
KDD
Learning Effective Road Network Representation with Hierarchical Graph Neural Networks
Ning Wu, Wayne Xin Zhao, Jingyuan Wang, Dayan Pan
KDD
Leveraging Historical Interaction Data for Improving Conversational Recommender System
Kun Zhou, Xin Zhao, Hui Wang, Sirui Wang, Fuzheng Zhang, Zhongyuan Wang and Ji-Rong Wen
CIKM (Short paper)
Revisiting Alternative Experimental Settings for Evaluating Top-N Item Recommendation Algorithms
Wayne Xin Zhao, Junhua Chen, Pengfei Wang, Qi Gu and Ji-Rong Wen
CIKM (Short paper)
S^3-Rec: Self-Supervised Learning for Sequential Recommendation with Mutual Information Maximization
Kun Zhou, Hui Wang, Xin Zhao, Yutao Zhu, Sirui Wang, Fuzheng Zhang, Zhongyuan Wang and Ji-rong Wen
CIKM
Knowledge-Enhanced Personalized Review Generation with Capsule Graph Neural Network
Junyi Li, Siqing Li, Wayne Xin Zhao, Gaole He, Nicholas Jing Yuan, Zhicheng Wei and Ji-Rong Wen
CIKM
Learning to Match Jobs with Resumes from Sparse Interaction Data using Multi-View Co-Teaching Network
Shuqing Bian, Xu Chen, Xin Zhao, Kun Zhou, Yupeng Hou, Yang Song, Tao Zhang and Ji-Rong Wen
CIKM
Towards Topic-Guided Conversational Recommender System
Kun Zhou, Yuanhang Zhou, Wayne Xin Zhao, Xiaoke Wang and Ji-Rong Wen
COLING
Improving Multi-hop Knowledge Base Question Answering by Learning Intermediate Supervision Signals
Gaole He, Yunshi Lan, Jing Jiang, Wayne Xin Zhao, Ji-Rong Wen
WSDM
2019
Taxonomy-aware Multi-hop Reasoning Networks for Sequential Recommendation
Jin Huang, Zhaochun Ren, Wayne Xin Zhao, Gaole He, Ji-Rong Wen and Daxiang Dong
To appear in WSDM 2019, full paper (CCF B)
Neural Network based Popularity Prediction by Linking Online Content with Knowledge Bases
Wayne Xin zhao, Hongjian Dou, Yuanpei Zhao, Daxiang Dong, Ji-Rong Weng
To appear in PAKDD 2019. (CCF C)2019
KB4Rec: A Data Set for Linking Knowledge Bases with Recommender Systems
Wayne Xin Zhao, Gaole He, Kunlin Yang, Hongjian Dou, Jin Huang, Siqi Ouyang, Ji-Rong Wen
To appear in Data intelligence. Online first.
Supervised Hierarchical Cross-Modal Hashing
Changchang Sun, Xuemeng Song, Fuli Feng, Wayne Xin Zhao, Hao Zhang and Liqiang Nie
SIGIR 2019 （CCF A）
A Long-Short Demands-Aware Model for Next-Item Recommendation
Ting Bai, Pan Du, Wayne Xin Zhao, Ji-Rong Wen, Jian-Yun Nie
SIGIR 2019 （CCF A）
Empowering A* Search Algorithms with Neural Networks for Personalized Route Recommendation
Jingyuan Wang, Ning Wu, Xin Zhao, Fanzhang Peng and Xin Lin
SIGKDD 2019 （CCF A）
Generating Long and Informative Reviews with Aspect-Aware Coarse-to-Fine Decoding
Junyi Li, Wayne Xin Zhao, Ji-Rong Wen and Yang Song
ACL 2019 （CCF A）
2018
Joint Representation Learning for Location-based Social Networks with Multi-Grained Sequential Contexts
Zhao Xin, Feifan Fan, Ji-Rong Wen and Edward Y Chang
To appear in ACM TKDD 2018.******(CCF B, SCI).
Automatically Learning Topics and Diculty Levels of Problems in Online Judge Systems
Xin Zhao, Wenhui Zhang, Yulan He, Xing Xie and Ji-Rong Wen
To appear in ACM TOIS 2018.******(CCF A, SCI).
Characterizing and Predicting Early Reviewers for Effective Product Marketing on E-Commerce Websites
Ting Bai, Wanye Xin Zhao, Yulan He, Jian-Yun Nie, Ji-Rong Wen
To appear in IEEE TKDE 2018.******(CCF A, SCI).
An Attribute-aware Neural Attentive Model for Next Basket Recommendation
Ting Bai, Jian-Yun Nie, Xin Zhao, Yutao Zhu, Pan Du and Ji-Rong Wen
To appear in SIGIR 2018, short paper (CCF A).
Improving Sequential Recommendation with Knowledge-enhanced Memory Networks
Jin Huang, Wayne Xin Zhao, Hongjian Dou, Ji-Rong Wen and Edward Y. Chang
To appear in SIGIR 2018, full paper (CCF A).
Heterogeneous Information Network Embedding for Recommendation
Chuan Shi, Binbin Hu, Wayne Xin Zhao and Philip S. Yu
To appear in TKDE ******(CCF A, SCI).
-hyperdoc2vec: Distributed Representations of Hypertext Documents
Jialong Han, Yan Song, Wayne Xin Zhao, Shuming Shi and Haisong Zhang
To appear in ACL 2018 (CCF A).
Multi-Turn Response Selection for Chatbots with Deep Attention Matching Network
Xiangyang Zhou, Lu Li, Daxiang Dong, Yi Liu, Ying Chen, Wayne Xin Zhao, Dianhai Yu and Hua Wu
To appear in ACL 2018 (CCF A).
Leveraging Meta-path based Context for Top N recommendation with Co-attention mechanism
Binbin Hu, Chuan Shi, Xin Zhao and Philip S. Yu
To appear in KDD 2018 (CCF A).
Local and Global Information Fusion for Top-N Recommendation in Heterogeneous Information Network
Binbin Hu, Chuan Shi, Xin Zhao and Tianchi Yang
To appear in CIKM 2018 (CCF B, short paper)
2017
A Probabilistic Lifestyle-based Trajectory Model for Social Strength Inference from Human Trajectory Data
Zhao Xin, Zhang Wenhui, Wen Ji-Rong, Wang Shan, Chang Edward
To appear in TOIS. ******(CCF A, SCI)
Version-Aware Rating Prediction for Mobile App Recommendation
Yuan Yao, Zhao Xin, Yaojing Wang, Hanghang Tong, Feng Xu and Jian Lu
To appear in ACM TOIS. ******(CCF A, SCI)
A Neural Network Approach to Jointly Modeling Social Networks and Mobile Trajectories
Cheng Yang, Maosong Sun, Zhao Xin, Zhiyuan Liu and Edward Chang
To appear in ACM TOIS. ******(CCF A, SCI)
Learning to Diversify Search Results via Subtopic Attention
Zhengbao Jiang, Ji-Rong Wen, Zhicheng Dou, Wayne Xin Zhao, Jian-Yun Nie, Ming Yue
To appear in SIGIR 2017 ******(CCF A)
-A Correlated Topic Model Using Word Embeddings
Guangxu Xun, Yaliang Li,Xin Zhao, Jing Gao, Aidong Zhang
To appear in IJCAI 2017 ******(CCF A)
Start Recommendation
Lei Shi, Xin Zhao and Yi-Dong Shen
To appear in ACM TOIS. ******(CCF A, SCI)
Probabilistic Local Matrix Factorization based on User Reviews
Wenwen Ye, Xu Chen, Yongfeng Zhang, Wayne Xin Zhao and Zheng Qin
To appear in AIRS 2017.
A Collaborative Neural Model for Rating Prediction by Leveraging User Reviews and Product Images
Xu Chen, Yongfeng Zhang, Wayne Xin Zhao and Zheng Qin
To appear in AIRS 2017. (best paper award)
A Neural Collaborative Filtering Model with Interaction-based Neighborhood
Ting Bai, Ji-Rong Wen, Jun Zhang and Xiao Zhao
To appear in CIKM 2017 (short paper, best short paper runner-up).
A time-aware trajectory embedding model for next-location recommendation
WayneXin Zhao, Aixin Sun, Ji-Rong Wen, Jialong Han, Edward Y Chang
To appear in Knowledge and Information Systems, 2017..
2016
Mining Collective Knowledge: Inferring Functional Labels from Online Review Text For Business
Feifan Fan, Wayne Xin Zhao, Ji-Rong Wen and Edward Chang
To appear in Knowledge and Information Systems. ******(SCI)
Exploring Demographic Information in Social Media for Product Recommendation
Wayne Xin Zhao, Jinpeng Wang, Yulan He and Xiaoming Li
To appear in Knowledge and Information Systems. ******(SCI)
Mining Product Adopter Information from Online Reviews for Improving Product Recommendation
Wayne Xin Zhao, Jinpeng Wang, Yulan He and Xiaoming Li
To appear in Transactions on Knowledge Discovery from Data.******(SCI)
A computational approach to measuring the correlation between expertise and social media influence for celebrities on microblogs.
Wayne Xin Zhao, Jing Liu, Yulan He, Chin-Yew, Ji-Rong Wen, Xiaoming Li
To appear in World Wide Web Journal. ******(SCI)
Generating Timeline Summaries with Social Media Attention
Wayne Xin Zhao, Ji-Rong Wen, Xiaoming Li
To appear in Frontier of Computer Science. ******(SCI)
Ranking and Tagging Bursty Features in Text Streams with Context Language Models
Wayne Xin Zhao, Ji-Rong Wen, Xiaoming Li
To appear in Frontier of Computer Science. ******(SCI)
Type-Aware Question Answering over Knowledge Base with Attention-Based Tree-Structured Neural Networks
Jun Yin, Xin Zhao, Xiaoming Li
To appear in JOURNAL OF COMPUTER SCIENCE AND TECHNOLOGY ******(SCI).
An Experimental Study of Text Representation Methods for Cross-Site Purchase Preference Prediction Using the Social Text Data
ing Bai, Hong-Jian Dou, Wayne Xin Zhao, Ding-Yi Yang, Ji-Rong Wen
To appear in JOURNAL OF COMPUTER SCIENCE AND TECHNOLOGY ******(SCI).
Tweet Timeline Generation with Determinantal Point Processes
Jin-ge Yao, Feifan Fan, Wayne Xin Zhao, Xiaojun Wan, Edward Chang, Jianguo Xiao
To appear in AAAI 2016. ******(CCF A)
Connecting Social Media to E-Commerce: Cold-Start Product Recommendation On Microblogs
Wayne Xin Zhao, Sui Li, Yulan He, Edward Y. Chang, Ji-Rong Wen and Xiaoming Li
To appear in TKDE. ******(CCF A, SCI)
A General Multi-Context Embedding Model For Mining Human Trajectory Data
Ningnan Zhou, Wayne Xin Zhao,Ji-Rong Wen, Xiao Zhang, Shan Wang
To appear in TKDE. ******(CCF A, SCI)
Bayesian Probabilistic Multi-Topic Matrix Factorization For Rating Prediction
Keqiang Wang, Wayne Xin Zhao, Hongwei Peng, Xiaoling Wang
To appear in IJCAI 2016. ******(CCF A)
2015
Mining User Intents in Twitter: A Semi-Supervised Approach to Inferring Intent Categories for Tweets
Jinpeng Wang, Gao Cong, Wayne Xin Zhao, Xiaoming Li
In AAAI 2015. ******(CCF A)
A General SIMD-based Approach to Accelerating Compression Algorithms
Wayne Xin Zhao, Xudong Zhang, Daniel Lemire, Dongdong Shan, Jian-Yun Nie, Hongfei Yan, Ji-Rong Wen
In ACM TOIS 2015. ******(CCF A, SCI)
Leveraging Product Adopter Information from Online Reviews for Product Recommendation
Jinpeng Wang, Wayne Xin Zhao, Yulan He and Xiaoming Li
In ICWSM 2015.
2014
Origi- nator or Propagator? Incorporating Social Role Theory into Topic Models for Twitter Content Analysis. In CIKM’13, Short paper.
Xin Zhao, Jinpeng Wang, Yulan He, Jian-Yun Nie and Xiaoming Li
2013
Infer User Interests via Link Structure Regularization
Xin Zhao, Jinpeng Wang, Yulan He and Xiaoming Li
In ACM TIST 2014. ******(SCI)
Warming up social startups via social login: a case study of question answering site
Yang Xiao, Xin Zhao, Kun Wang and Zhen Xiao
In COLING 2014.
Group based Self Training for E-Commerce Product Record Linkage
Xin Zhao, Yuexin Wu, Hongfei Yan and XiaomingLi
In COLING 2014.
A Demographic-based System for Product Recommendation On Microblogs
Xin Zhao, YanweiGuo, Yulan He, Han Jiang, Yuexin Wu and Xiaoming Li
In KDD 2014. ******(CCF A)
Incorporating Social Role into Topic Models for Social Media Content Analysis
Xin Zhao, Jinpeng Wang, Yulan He, Jian-Yun Nie, Ji-Rong Wen and Xiaoming Li
In IEEE TKDE 2014. ******(CCF A, SCI)
2013
Mining New Business Opportu- nities: Identifying Trend related Products by Leveraging Commercial Intents from Microblogs
Jinpeng Wang, Xin Zhao and Xiaoming Li
In EMNLP’13.
A Metric Learning based approach for evaluating time series similarity
-Yang Lu, Xin Zhao, Hongfei Yan and Xiaoming Li
In WAIM 2013. Full Oral Presentation.
Timeline Generation with Social Attention
Xin Zhao, YanweiGuo, Rui Yan, Yulan He and Xiaoming Li
In SIGIR’13, Short paper. ******(CCF A)
2012
EventSearch: A System for Event Discovery and Retrieval on Multi-Type Historical Data
Dongdong Shan, Xin Zhao, Rishan Chen, BaihanShu, Hongfei Yan, Xi- aoming Li
In KDD’12, Demo.
Using Lexical and Thematic Knowledge for Name Disambiguation
Jinpeng Wang, Xin Zhao, Rui Yan, Haitian Wei, JianyunNie and Xiaoming Li
In AIRS’12, Full Oral Presentation.
A Novel Burst- based Text Representation Model for Scalable Event Detection
Xin Zhao, Rishan Chen, Kai Fan, Hongfei Yan, Xiaoming Li
In ACL’12, Short Oral Presentation. ******(CCF A)
Identifying Event-related Bursts via Social Media Activities
Xin Zhao, BaihanShu, Jing Jiang, Yang Song and Xiaoming Li
In EMNLP’12, Full Oral Presentation.
Joint Learning for Coreference Resolution with Markov Logic
Yang Song, Jing Jiang, Xin Zhao and Houfeng Wang
In EMNLP’12, Full Oral Presen- tation.
2011
Efficient Phrase Querying with Flat Position Index
Dongdong Shan, Xin Zhao, Jing He, Hongfei Yan, Xiaoming Li
In CIKM’11. Poster paper.
Efficiently Collecting Relevance Information from Clickthroughs for Web Retrieval Sys- tem
Jing He, Xin Zhao, BaihanShu, Hongfei Yan and Xiaoming Li
In SIGIR’11. Full Oral Presentation. ******(CCF A)
Topical Keyphrase Extraction from Twitter
Xin Zhao, Jing Jiang, Jing He, Yang Song, PalakornAchanauparp, Ee-PengLim and Xiaoming Li
In ACL- HLT’11. Full Oral Presentation. ******(CCF A)
Comparing Twitter and Traditional Media using Topic Models
Xin Zhao, Jing Jiang, JianshuWeng, Jing He, Ee-Peng Lim, Hongfei Yan and Xiaoming Li
In ECIR’11. Full Oral Presentation.
2010
Context Modeling for Ranking and Tagging Bursty Features in Text Streams
Xin Zhao, Jing Jiang, Jing He, Hongfei Yan, Xiaoming Li
In CIKM’10. Short paper.
Jointly Modeling Aspects and Opinions with a MaxEnt-LDA Hybrid
Xin Zhao, Jing Jiang, Hongfei Yan, Xiaoming Li.
In EMNLP’10. Full Oral Presentation.

荣誉奖励

  • ===========工作阶段============
  • CCF-IEEE CS青年科学家
  • 吴文俊人工智能优秀青年奖
  • 北京智源青年科学家
  • CCF自然语言处理与中文计算奖
  • 中国科协青年人才托举工程
  • ECIR时间检验奖(Test-of-Time-Award)
  • 爱思维尔2020中国高被引学者
  • CIKM最佳短文提名奖
  • AIRS最佳论文奖
  • 中国人民大学杰出青年学者
  • 中国人民大学优秀科研奖励
  • 中国人民大学信息学院科研先进工作者奖励
  • ===========博士阶段============
  • 微软亚洲学者奖学金,2012年
  • 谷歌中国博士奖学金,2011年
  • 北京大学优秀博士论文，2014年
  • 北京大学优秀毕业生，2014年
  • 北京大学三好学生标兵,2012-2013 年
  • 北京大学三好学生,2010-2011 年度、2012-2013 年度
  • 北京大学五四奖学金,2011-2012 年度
  • 搜狐奖学金,2010-2011 年度、2011-2012 年度、2012-2013 年度
  • ===========本科阶段============
  • 黑龙江省程序设计竞赛特等奖, 2007年
  • 美国大学生数学建模竞赛一等奖，2008年
  • 挑战杯大学生创业竞赛哈工大银奖，2008年

社会兼职

  • 中国中文信息学会青年工作委员会，副主任
  • 中国中文信息学会社会媒体处理专委会，常务委员
  • 中国计算机学会NOI科学委员会，委员
  • 资深程序委员包括如下：
  • -SIGIR 2020/2021 (CCF A类会议 信息检索顶级会议)
  • -AAAI 2021 (CCF A类会议 人工智能顶级会议)
  • -IJCAI 2021 (CCF A类会议 人工智能顶级会议)
  • -CIKM 2020/2021 (CCF B类会议 数据管理著名会议)
  • 共同领域主席
  • -NLPCC 2017 (CCF C类会议 自然语言处理知名会议)
  • -CCL 2017 (中国自然语言处理旗舰会议)
  • -EMNLP 2019 (CCF B类会议 自然语言处理著名会议)
  • 副主编
  • -ACM TALLIP期刊(亚洲语言信息处理著名期刊）
  • 书籍评阅人
  • -国际知名学术专著出版社Morgan & Claypool Publishers

联系

电话：--

邮箱：batmanfly(@)gmail.com; batmanfly(@)qq.com; batmanfly(@)ruc.edu.cn

个人网页：http://aibox.ruc.edu.cn/

办公地址：--