Collaborations

Research partnerships, industrial research discussions, invited talks, and focused academic exchange.

Collaboration routes

The best exchanges start from a concrete research problem, benchmark, system question, or publication direction.

Academic

Joint research and resources

Paper collaboration, benchmark design, resource building, and student or lab exchange. Use dingjiandong2@huawei.com for university collaboration.

Industry

Production-scale research problems

Recommendation architecture, agent evaluation, retrieval systems, and data-intelligence problems at scale.

Talks

Invited talks and professional events

Focused talks on recommender systems, LLM agents, data mining, and applied AI systems.

Institutional collaboration history

Current and past institutional collaborations.

Institutions

Fudan University

Shanghai, China Bioinformatics and data mining
Current Ongoing collaboration

Nanjing University

Nanjing, China Recommender systems and efficient learning
Current Ongoing collaboration

Shanghai Jiao Tong University

Shanghai, China Recommendation and data intelligence
Current Ongoing collaboration

Tongji University

Shanghai, China Recommender systems and trustworthy prediction
Past Past collaboration

Tsinghua University

Beijing, China Data mining and trustworthy prediction
Past Past collaboration

Southeast University

Nanjing, China Text classification and data mining
Past Past collaboration

Duke University

Durham, NC, USA Bioinformatics
Past Past collaboration

Trinity College Dublin

Dublin, Ireland Business intelligence and service evaluation
Past Past collaboration

University of Houston

Houston, TX, USA Digital business experiments
Past Past collaboration

Hong Kong Baptist University

Hong Kong SAR Graph learning and text classification
Past Past collaboration