Jin Zhang

Orcid: 0000-0003-4199-5641

Affiliations:
  • University of Science and Technology of China, School of Artificial Intelligence and Data Science, Hefei, China


According to our database1, Jin Zhang authored at least 12 papers between 2021 and 2026.

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

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

Online presence:

On csauthors.net:

Bibliography

2026
Learning Deep Tree-Based Retriever for Efficient Recommendation: Theory and Method.
IEEE Trans. Pattern Anal. Mach. Intell., May, 2026

Interactive graph convolutional filtering.
Artif. Intell., 2026

2025
Adaptive Sampled Softmax with Inverted Multi-Index: Methods, Theory and Applications.
CoRR, January, 2025

Conflict-Buffering Optimization by Symmetry Teleportation for Deep Long-Tailed Recognition.
Proceedings of the 33rd ACM International Conference on Multimedia, 2025

2024
Deep Tree-based Retrieval for Efficient Recommendation: Theory and Method.
CoRR, 2024

Generalization Error Bounds for Two-stage Recommender Systems with Tree Structure.
Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

2023
Interactive Graph Convolutional Filtering.
CoRR, 2023

Differentiable Optimized Product Quantization and Beyond.
Proceedings of the ACM Web Conference 2023, 2023

Query-Aware Quantization for Maximum Inner Product Search.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022
Improving Implicit Alternating Least Squares with Ring-based Regularization.
Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022

Anisotropic Additive Quantization for Fast Inner Product Search.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021
Online Additive Quantization.
Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021


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