北京邮电大学计算机学院 副教授,硕士生导师 。于2019年6月于中国人民大学获得博士学位, 师从信息检索专家 文继荣 教授 和 赵鑫 教授。研究方向是 个性化推荐系统，数据挖掘。 2017-2018年在加拿大蒙特利尔大学交换学习, 师从信息检索著名学者 聂建云 教授。 在国际重要会议与期刊发表论文三十余篇，其中有两篇一作论文获得国际会议CIKM, KDD-DLP 最佳论文/最佳论文候选奖 。长期担任国际期刊、会议TKDE, WWW, KDD, SIGIR、AAAI, IJCAI, WSDM, CIKM等审稿人。出版教材《网络科学与计算》、学术专著《知识图谱》。受邀担任国内外会议IEEE ICDM，IEEE ICKG, SIGIR-AP, CCIR领域主席。科研成果获评 中国中文信息学会 “优秀博士论文奖” ，中国电子学会 “科技进步一等奖” ，百度首届 “全球AI华人女性青年学者” 。

担任 IEEE ICDM Publicity Chair (2020)

担任 IEEE ICKG Publicity Chair (2022)

担任 SIGIR-AP Publicity Chair (2023)

担任 CCIR Publicity Chair (2023)

IPM'2024 GPR-OPT: A Practical Gaussian optimization criterion for implicit recommender systems. [Paper]

Ting Bai, Xiaotong Wang, Zhenhao Zhang, Wei Song, Bin Wu, Jian-Yun Nie

CIKM'2023 Targeted Shilling Attacks on GNN-based Recommender Systems. [Paper]

Sihan Guo, Ting Bai, Weihong Deng

SIGIR'2023 EulerNet: Adaptive Feature Interaction Learning via Euler's Formula for CTR Prediction. [Paper]

Zhen Tian, Ting Bai, Wayne Xin Zhao, Ji-Rong Wen, Zhao Cao

WSDM'2023 Directed Acyclic Graph Factorization Machines for CTR Prediction via Knowledge Distillation. [Paper]

Zhen Tian, Ting Bai , Zibin Zhang, Zhiyuan Xu, Kangyi Lin, Ji-Rong Wen, Wayne Xin Zhao

AI Open'2023 Information Retrieval Meets Large Language Models: a Strategic Report from Chinese IR Community. [Paper]

Qingyao Ai, Ting Bai , Zhao Cao, Yi Chang, Jiawei Chen, Zhumin Chen, Zhiyong Cheng, Shoubin Dong, Zhicheng Dou, Fuli Feng, Shen Gao, Jiafeng Guo, Xiangnan He, Yanyan Lan, Chenliang Li, Yiqun Liu, Ziyu Lyu, Weizhi Ma, Jun Ma, Zhaochun Ren, Pengjie Ren, Zhiqiang Wang, Mingwen Wang, Ji-Rong Wen, Le Wu, Xin Xin, Jun Xu, Dawei Yin, Peng Zhang, Fan Zhang, Weinan Zhang, Min Zhang, Xiaofei Zhu

FCS'2023 A Graph-based Contrastive Learning Framework for Medicare Insurance Fraud Detection. [Paper]

Song Xiao, Ting Bai, Xiangchong Cui, Bin Wu, Xinkai Meng, Bai Wang

EMNLP'22 A Multi-Modal Knowledge Graph for Classical Chinese Poetry. [Paper]

Fangtao Li,Ting Bai ,Chenyu Cao, Zihe Liu, Chenghao Yan, Bin Wu

WWW'22 A Contrastive Sharing Model for Multi-Task Recommendation. [Paper]

Ting Bai, Yudong Xiao, Bin Wu, Guojun Yang, Hongyong Yu, Jian-Yun Nie

DASFAA'22 Learning Social Influence from Network Structure for Recommender Systems. [Paper]

Ting Bai , Yanlong Huang, Bin Wu

DASFAA'22 Semi-Supervised Graph Learning with Few Labeled Nodes. [Paper]

Cong Zhang, Ting Bai, Bin Wu

ICMR'21 Relation-aware Hierarchical Attention Framework for Video Question Answering. [Paper]

Fangtao Li,Ting Bai ,Chenyu Cao, Zihe Liu, Chenghao Yan, Bin Wu

计算机学报'21 基于图像和视频信息的社交关系理解研究综述. [Paper]

王正, 吴斌,王文哲,滕一阳,帅杰,肖云鹏 白婷

IEEE Big Data'21 Temporal Graph Neural Networks for Social Recommendation. [Paper]

Ting Bai ,Youjie Zhang, Bin Wu, Jian-Yun Nie

KSEM'21 A Time Interval Aware Approach for Session-Based Social Recommendation. [Paper]

Youjie Zhang,Ting Bai ,Bin Wu, Bai Wang

WWW'20 Deep Adversarial Completion for Sparse Heterogeneous Information Network Embedding. [Paper]

Kai Zhao*,Ting Bai* , Bin Wu, Bai Wang, Youjie Zhang, Yuanyu Yang and Jian-Yun Nie

计算机研究与发展'20 古诗词图谱的构建及分析研究. [Paper]

刘昱彤，吴斌, 白婷

WSDM'20 Pseudo Dyna-Q: A Reinforcement Learning Framework for Interactive Recommendation. [Paper]

Lixin Zou，Long Xia, Pan Du, Zhuo Zhang, Ting Bai, Weidong Liu, Jian-Yun Nie, Dawei Yin.

KDD Workshop'19 An End-to-End Neighborhood-based Interaction Model for Knowledge-enhanced Recommendation. [ Best Paper Award] [Paper]

Yanru Qu,Ting Bai* (Co-First Author), Weinan Zhang, Jianyun Nie and Jian Tang.

SIGIR'19 CTRec: A Long-Short Demands Evolution Model for Continuous-Time Recommendation [Paper]

Ting Bai, Lixin Zou, Xin Zhao, Pan Du, Weidong Liu, Jian-Yun Nie and Ji-Rong Wen

CIKM'19 News Graph: An Enhanced Knowledge Graph for News Recommendation. [Paper]

Danyang Liu,Ting Bai* (Corresponding Author), Jianxun Lian, Guangzhong Sun, Wayne Xin Zhao, Ji-Rong Wen, Xing Xie.

NAACL'19 SC-LSTM: Learning Task-Specific Representations in Multi-Task Learning for Sequence Labeling [Paper]

Peng Lu,Ting Bai* (Co-First Author), Philippe Langlais

SIGIR'18 An Attribute-aware Neural Attentive Model for Next Basket Recommendation [Paper] [Code] [Poster]

Ting Bai, Jian-Yun Nie, Wayne Xin Zhao, Yutao Zhu, Pan Du, Ji-Rong Wen

TKDE'18 Predicting Early Reviewers for Effective Product Marketing on E-Commerce Websites [Paper] [Slides]

Ting Bai, Wayne Xin Zhao, Yulan He, Ji-Rong Wen

AIRS'18 A Neural Labeled Network Embedding Approach to Product Adopter Prediction

Qi Gu,Ting Bai, Wayne Xin Zhao,Ji-Rong Wen

CIKM'17 A Neural Collaborative Filtering Model with Interaction-based Neighborhood [ Best Short Paper Runner-up Award] [Paper] [Code(Pytorch)] [(Keras)] [Slides]

Ting Bai, Wayne Xin Zhao, Jun Zhang, Ji-Rong Wen

JCST'17 An Experimental Study of Text Representation Methods for Cross-Site Purchase Preference Prediction Using the Social Text Data [Paper]

Ting Bai, Hongjian Dou, Wayne Xin Zhao, Ji-Rong Wen

Journal of Chinese Processing'17 Connecting Social Media to E-commerce: Long-tail Purchase Behaviors using Multiple Additive Regression Tree (Chinese)

Ting Bai, Ji-Rong Wen, Wayne Xin Zhao, Bohua Yang

CCF BIG DATA'15 Leveraging Online Social Media Information for Predicting the Long-tail Purchase Behaviors [ Best Paper Runner-up Award ][Paper]

Ting Bai, Bohua Yang, Wayne Xin Zhao, Ji-Rong Wen

2023 百度首届 “全球AI华人女性青年学者”

2023中国电子学会 “科技进步一等奖”

2020 中国中文信息学会“优秀博士学位论文奖”

2019 KDD Workshop Best Paper Award

2017 CIKM Best Short Paper Runner Up Award

2015 CCF BigData 最佳论文候选

2018 加拿大魁北克省政府奖学金

2015, 2017，2018 博士生国家奖学金

2016, 2017，2018 连续三年入选中国人民大学拔尖人才计划

2016，2018 中国人民大学三好学生，优秀研究生

2014 宝钢优秀学生奖学金，5/38700.

2013 全国信息技术应用水平大赛 全国一等奖

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