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ORCIDTing Bai 0004
Person information
- affiliation: Beijing University of Posts and Telecommunications, Beijing, China
Other persons with the same name
- Ting Bai — disambiguation page
- Ting Bai 0001
![[0000-0001-9488-9143]](https://dblp.org/img/orcid-mark.12x12.png "0000-0001-9488-9143")
— Cornell University, Ithaca, NY, USA - Ting Bai 0002 — Hubei University of Technology, Wuhan, Hubei, China
- Ting Bai 0003 — Beijing Institute of Technology, China
- Ting Bai 0005 — KTH Royal Institute of Technology, Stockholm, Sweden
- Ting Bai 0006 — Hefei University of Technology, Hefei, Anhui, China
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2020 – today
- 2025
[j10]Ting Bai, Weijie Chen, Cheng Yang, Chuan Shi:
Invariant debiasing learning for recommendation via biased imputation. Inf. Process. Manag. 62(3): 104028 (2025)- [j9]Jiawei Liu, Cheng Yang, Zhiyuan Lu, Junze Chen, Yibo Li, Mengmei Zhang, Ting Bai, Yuan Fang, Lichao Sun, Philip S. Yu, Chuan Shi:
Graph Foundation Models: Concepts, Opportunities and Challenges. IEEE Trans. Pattern Anal. Mach. Intell. 47(6): 5023-5044 (2025) - [j8]Ting Bai, Le Huang, Yue Yu, Cheng Yang, Cheng Hou, Zhe Zhao, Chuan Shi:
Efficient Multi-task Prompt Tuning for Recommendation. ACM Trans. Inf. Syst. 43(4): 104:1-104:21 (2025) - [i14]Jiazheng Kang, Le Huang, Cheng Hou, Zhe Zhao, Zhenxiang Yan, Chuan Shi, Ting Bai:
Self-Evolving LLMs via Continual Instruction Tuning. CoRR abs/2509.18133 (2025) - 2024
- [j7]Ting Bai, Xiaotong Wang, Zhenhao Zhang, Wei Song, Bin Wu, Jian-Yun Nie:
GPR-OPT: A Practical Gaussian optimization criterion for implicit recommender systems. Inf. Process. Manag. 61(1): 103525 (2024) - [j6]Yuting Wei, Yangfu Zhu, Ting Bai, Bin Wu:
A cross-temporal contrastive disentangled model for ancient Chinese understanding. Neural Networks 179: 106559 (2024) - [c23]Nian Liu, Shen Fan, Ting Bai, Peng Wang, Mingwei Sun, Yanhu Mo, Xiaoxiao Xu, Hong Liu, Chuan Shi:
Learning Social Graph for Inactive User Recommendation. DASFAA (6) 2024: 151-167 - [c22]Le Huang, Hengzhi Lan, Zijun Sun, Chuan Shi, Ting Bai:
Emotional RAG: Enhancing Role-Playing Agents through Emotional Retrieval. ICKG 2024: 120-127 - [i13]Nian Liu, Shen Fan, Ting Bai, Peng Wang, Mingwei Sun, Yanhu Mo, Xiaoxiao Xu, Hong Liu, Chuan Shi:
Learning Social Graph for Inactive User Recommendation. CoRR abs/2405.05288 (2024) - [i12]Ting Bai, Le Huang, Yue Yu, Cheng Yang, Cheng Hou, Zhe Zhao, Chuan Shi:
Efficient Multi-task Prompt Tuning for Recommendation. CoRR abs/2408.17214 (2024) - [i11]Le Huang, Hengzhi Lan, Zijun Sun, Chuan Shi, Ting Bai:
Emotional RAG: Enhancing Role-Playing Agents through Emotional Retrieval. CoRR abs/2410.23041 (2024) - [i10]Weijie Chen, Ting Bai, Jinbo Su, Jian Luan, Wei Liu, Chuan Shi:
KG-Retriever: Efficient Knowledge Indexing for Retrieval-Augmented Large Language Models. CoRR abs/2412.05547 (2024) - [i9]Ting Bai, Yue Yu, Le Huang, Zenan Xu, Zhe Zhao, Chuan Shi:
GraphLoRA: Empowering LLMs Fine-Tuning via Graph Collaboration of MoE. CoRR abs/2412.16216 (2024) - [i8]Ting Bai, Weijie Chen, Cheng Yang, Chuan Shi:
Invariant debiasing learning for recommendation via biased imputation. CoRR abs/2412.20036 (2024) - 2023
- [j5]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:
Information Retrieval meets Large Language Models: A strategic report from Chinese IR community. AI Open 4: 80-90 (2023) - [c21]Sihan Guo, Ting Bai, Weihong Deng:
Targeted Shilling Attacks on GNN-based Recommender Systems. CIKM 2023: 649-658 - [c20]Zhen Tian, Ting Bai, Wayne Xin Zhao, Ji-Rong Wen, Zhao Cao:
EulerNet: Adaptive Feature Interaction Learning via Euler's Formula for CTR Prediction. SIGIR 2023: 1376-1385 - [c19]Zhen Tian, Ting Bai, Zibin Zhang, Zhiyuan Xu, Kangyi Lin, Ji-Rong Wen, Wayne Xin Zhao:
Directed Acyclic Graph Factorization Machines for CTR Prediction via Knowledge Distillation. WSDM 2023: 715-723 - [i7]Zhen Tian, Ting Bai, Wayne Xin Zhao, Ji-Rong Wen, Zhao Cao:
EulerNet: Adaptive Feature Interaction Learning via Euler's Formula for CTR Prediction. CoRR abs/2304.10711 (2023) - [i6]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:
Information Retrieval Meets Large Language Models: A Strategic Report from Chinese IR Community. CoRR abs/2307.09751 (2023) - [i5]Jiawei Liu, Cheng Yang, Zhiyuan Lu, Junze Chen, Yibo Li, Mengmei Zhang, Ting Bai, Yuan Fang, Lichao Sun, Philip S. Yu, Chuan Shi:
Towards Graph Foundation Models: A Survey and Beyond. CoRR abs/2310.11829 (2023) - 2022
- [j4]Song Xiao, Ting Bai, Xiangchong Cui, Bin Wu, Xinkai Meng, Bai Wang:
A graph-based contrastive learning framework for medicare insurance fraud detection. Frontiers Comput. Sci. 17(2): 172341 (2022) - [c18]Ting Bai, Yanlong Huang, Bin Wu:
Learning Social Influence from Network Structure for Recommender Systems. DASFAA (2) 2022: 102-117 - [c17]Cong Zhang, Ting Bai, Bin Wu:
Semi-supervised Graph Learning with Few Labeled Nodes. DASFAA (2) 2022: 423-438 - [c16]Jiaqi Zhao, Ting Bai, Yuting Wei, Bin Wu:
PoetryBERT: Pre-training with Sememe Knowledge for Classical Chinese Poetry. DMBD (2) 2022: 369-384 - [c15]Yuqing Li, Yuxin Zhang, Bin Wu, Ji-Rong Wen, Ruihua Song, Ting Bai:
A Multi-Modal Knowledge Graph for Classical Chinese Poetry. EMNLP (Findings) 2022: 2318-2326 - [c14]Meiling Li, Hezi Liu, Bin Wu, Ting Bai:
Language Style Matters: Personality Prediction from Textual Styles Learning. ICKG 2022: 141-148 - [c13]Jinsheng Qi, Fangtao Li, Ting Bai, Chenyu Cao, Wei Song, Yibo Hu, Bin Wu:
FHGN: Frame-Level Heterogeneous Graph Networks for Video Question Answering. ICME 2022: 1-6 - [c12]Xiangchong Cui, Ting Bai, Bin Wu, Xinkai Meng:
Learning Advisor-Advisee Relationship from Multiplex Network Structure. KSEM (3) 2022: 104-115 - [c11]Ting Bai, Yudong Xiao, Bin Wu, Guojun Yang, Hongyong Yu, Jian-Yun Nie:
A Contrastive Sharing Model for Multi-Task Recommendation. WWW 2022: 3239-3247 - [i4]Zhen Tian, Ting Bai, Zibin Zhang, Zhiyuan Xu, Kangyi Lin, Ji-Rong Wen, Wayne Xin Zhao:
Directed Acyclic Graph Factorization Machines for CTR Prediction via Knowledge Distillation. CoRR abs/2211.11159 (2022) - 2021
- [c10]Fangtao Li, Ting Bai, Chenyu Cao, Zihe Liu, Chenghao Yan, Bin Wu:
Relation-aware Hierarchical Attention Framework for Video Question Answering. ICMR 2021: 164-172 - [i3]Fangtao Li, Ting Bai, Chenyu Cao, Zihe Liu, Chenghao Yan, Bin Wu:
Relation-aware Hierarchical Attention Framework for Video Question Answering. CoRR abs/2105.06160 (2021) - 2020
- [c9]Ting Bai, Youjie Zhang, Bin Wu, Jian-Yun Nie:
Temporal Graph Neural Networks for Social Recommendation. IEEE BigData 2020: 898-903 - [c8]Youjie Zhang, Ting Bai, Bin Wu, Bai Wang:
A Time Interval Aware Approach for Session-Based Social Recommendation. KSEM (2) 2020: 88-95 - [c7]Lixin Zou, Long Xia, Pan Du, Zhuo Zhang, Ting Bai, Weidong Liu, Jian-Yun Nie, Dawei Yin:
Pseudo Dyna-Q: A Reinforcement Learning Framework for Interactive Recommendation. WSDM 2020: 816-824 - [c6]Kai Zhao, Ting Bai, Bin Wu, Bai Wang, Youjie Zhang, Yuanyu Yang, Jian-Yun Nie:
Deep Adversarial Completion for Sparse Heterogeneous Information Network Embedding. WWW 2020: 508-518
2010 – 2019
- 2019
- [j3]Ting Bai, Wayne Xin Zhao, Yulan He, Jian-Yun Nie, Ji-Rong Wen:
Correction to "Characterizing and Predicting Early Reviewers for Effective Product Marketing on E-Commerce Websites". IEEE Trans. Knowl. Data Eng. 31(4): 818 (2019) - [c5]Danyang Liu, Ting Bai, Jianxun Lian, Xin Zhao, Guangzhong Sun, Ji-Rong Wen, Xing Xie:
News Graph: An Enhanced Knowledge Graph for News Recommendation. KaRS@CIKM 2019: 1-7 - [c4]Ting Bai, Lixin Zou, Wayne Xin Zhao, Pan Du, Weidong Liu, Jian-Yun Nie, Ji-Rong Wen:
CTRec: A Long-Short Demands Evolution Model for Continuous-Time Recommendation. SIGIR 2019: 675-684 - [i2]Ting Bai, Pan Du, Wayne Xin Zhao, Ji-Rong Wen, Jian-Yun Nie:
A Long-Short Demands-Aware Model for Next-Item Recommendation. CoRR abs/1903.00066 (2019) - [i1]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
- [j2]Ting Bai, Wayne Xin Zhao, Yulan He, Jian-Yun Nie, Ji-Rong Wen:
Characterizing and Predicting Early Reviewers for Effective Product Marketing on E-Commerce Websites. IEEE Trans. Knowl. Data Eng. 30(12): 2271-2284 (2018) - [c3]Qi Gu, Ting Bai, Wayne Xin Zhao, Ji-Rong Wen:
A Neural Labeled Network Embedding Approach to Product Adopter Prediction. AIRS 2018: 77-89 - [c2]Ting Bai, Jian-Yun Nie, Wayne Xin Zhao, Yutao Zhu, Pan Du, Ji-Rong Wen:
An Attribute-aware Neural Attentive Model for Next Basket Recommendation. SIGIR 2018: 1201-1204 - 2017
- [j1]Ting Bai, Hong-Jian Dou, Wayne Xin Zhao, Ding-Yi Yang, Ji-Rong Wen:
An Experimental Study of Text Representation Methods for Cross-Site Purchase Preference Prediction Using the Social Text Data. J. Comput. Sci. Technol. 32(4): 828-842 (2017) - [c1]Ting Bai, Ji-Rong Wen, Jun Zhang, Wayne Xin Zhao:
A Neural Collaborative Filtering Model with Interaction-based Neighborhood. CIKM 2017: 1979-1982
Coauthor Index
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