Ting Bai

Orcid: 0000-0001-9607-3551

Affiliations:
  • Beijing University of Posts and Telecommunications, Beijing, China


According to our database1, Ting Bai authored at least 39 papers between 2017 and 2025.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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Bibliography

2025
Self-Evolving LLMs via Continual Instruction Tuning.
CoRR, September, 2025

Efficient Multi-task Prompt Tuning for Recommendation.
ACM Trans. Inf. Syst., July, 2025

Graph Foundation Models: Concepts, Opportunities and Challenges.
IEEE Trans. Pattern Anal. Mach. Intell., June, 2025

Invariant debiasing learning for recommendation via biased imputation.
Inf. Process. Manag., 2025

2024
GPR-OPT: A Practical Gaussian optimization criterion for implicit recommender systems.
Inf. Process. Manag., January, 2024

A cross-temporal contrastive disentangled model for ancient Chinese understanding.
Neural Networks, 2024

GraphLoRA: Empowering LLMs Fine-Tuning via Graph Collaboration of MoE.
CoRR, 2024

KG-Retriever: Efficient Knowledge Indexing for Retrieval-Augmented Large Language Models.
CoRR, 2024

Emotional RAG: Enhancing Role-Playing Agents through Emotional Retrieval.
Proceedings of the IEEE International Conference on Knowledge Graph, 2024

Learning Social Graph for Inactive User Recommendation.
Proceedings of the Database Systems for Advanced Applications, 2024

2023
Information Retrieval meets Large Language Models: A strategic report from Chinese IR community.
AI Open, January, 2023

Towards Graph Foundation Models: A Survey and Beyond.
CoRR, 2023

Directed Acyclic Graph Factorization Machines for CTR Prediction via Knowledge Distillation.
Proceedings of the Sixteenth ACM International Conference on Web Search and Data Mining, 2023

EulerNet: Adaptive Feature Interaction Learning via Euler's Formula for CTR Prediction.
Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023

Targeted Shilling Attacks on GNN-based Recommender Systems.
Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

2022
A graph-based contrastive learning framework for medicare insurance fraud detection.
Frontiers Comput. Sci., April, 2022

A Contrastive Sharing Model for Multi-Task Recommendation.
Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 2022

Learning Advisor-Advisee Relationship from Multiplex Network Structure.
Proceedings of the Knowledge Science, Engineering and Management, 2022

FHGN: Frame-Level Heterogeneous Graph Networks for Video Question Answering.
Proceedings of the IEEE International Conference on Multimedia and Expo, 2022

Language Style Matters: Personality Prediction from Textual Styles Learning.
Proceedings of the IEEE International Conference on Knowledge Graph, 2022

A Multi-Modal Knowledge Graph for Classical Chinese Poetry.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022

PoetryBERT: Pre-training with Sememe Knowledge for Classical Chinese Poetry.
Proceedings of the Data Mining and Big Data - 7th International Conference, 2022

Semi-supervised Graph Learning with Few Labeled Nodes.
Proceedings of the Database Systems for Advanced Applications, 2022

Learning Social Influence from Network Structure for Recommender Systems.
Proceedings of the Database Systems for Advanced Applications, 2022

2021
Relation-aware Hierarchical Attention Framework for Video Question Answering.
Proceedings of the ICMR '21: International Conference on Multimedia Retrieval, 2021

2020
Deep Adversarial Completion for Sparse Heterogeneous Information Network Embedding.
Proceedings of the WWW '20: The Web Conference 2020, Taipei, Taiwan, April 20-24, 2020, 2020

Pseudo Dyna-Q: A Reinforcement Learning Framework for Interactive Recommendation.
Proceedings of the WSDM '20: The Thirteenth ACM International Conference on Web Search and Data Mining, 2020

A Time Interval Aware Approach for Session-Based Social Recommendation.
Proceedings of the Knowledge Science, Engineering and Management, 2020

Temporal Graph Neural Networks for Social Recommendation.
Proceedings of the 2020 IEEE International Conference on Big Data (IEEE BigData 2020), 2020

2019
Correction to "Characterizing and Predicting Early Reviewers for Effective Product Marketing on E-Commerce Websites".
IEEE Trans. Knowl. Data Eng., 2019

An End-to-End Neighborhood-based Interaction Model for Knowledge-enhanced Recommendation.
CoRR, 2019

A Long-Short Demands-Aware Model for Next-Item Recommendation.
CoRR, 2019

CTRec: A Long-Short Demands Evolution Model for Continuous-Time Recommendation.
Proceedings of the 42nd International ACM SIGIR Conference on Research and Development in Information Retrieval, 2019

News Graph: An Enhanced Knowledge Graph for News Recommendation.
Proceedings of the Second Workshop on Knowledge-aware and Conversational Recommender Systems, 2019

2018
Characterizing and Predicting Early Reviewers for Effective Product Marketing on E-Commerce Websites.
IEEE Trans. Knowl. Data Eng., 2018

An Attribute-aware Neural Attentive Model for Next Basket Recommendation.
Proceedings of the 41st International ACM SIGIR Conference on Research & Development in Information Retrieval, 2018

A Neural Labeled Network Embedding Approach to Product Adopter Prediction.
Proceedings of the Information Retrieval Technology, 2018

2017
An Experimental Study of Text Representation Methods for Cross-Site Purchase Preference Prediction Using the Social Text Data.
J. Comput. Sci. Technol., 2017

A Neural Collaborative Filtering Model with Interaction-based Neighborhood.
Proceedings of the 2017 ACM on Conference on Information and Knowledge Management, 2017


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