Xin Zhao

Orcid: 0000-0002-7660-9897

Affiliations:
  • Tsinghua University, School of Software, BNRist, Beijing, China


According to our database1, Xin Zhao authored at least 11 papers between 2017 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
Guest Editorial: Special Issue on Visual Datasets.
Int. J. Comput. Vis., January, 2026

2024
JDRec: Practical Actor-Critic Framework for Online Combinatorial Recommender System.
Proceedings of the 23rd International Conference on Autonomous Agents and Multiagent Systems, 2024

2022
JDRec: Practical Actor-Critic Framework for Online Combinatorial Recommender System.
CoRR, 2022

2020
Discrete Probability Distribution Prediction of Image Emotions with Shared Sparse Learning.
IEEE Trans. Affect. Comput., 2020

2019
MEIAH: Mixing explicit and implicit formulation of attributes in binary representation for person re-identification.
Multim. Tools Appl., 2019

Recurrent Attention Model for Pedestrian Attribute Recognition.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018
EmotionGAN: Unsupervised Domain Adaptation for Learning Discrete Probability Distributions of Image Emotions.
Proceedings of the 2018 ACM Multimedia Conference on Multimedia Conference, 2018

Grouping Attribute Recognition for Pedestrian with Joint Recurrent Learning.
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

On Trivial Solution and High Correlation Problems in Deep Supervised Hashing.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017
Query expansion for object retrieval with active learning using BoW and CNN feature.
Multim. Tools Appl., 2017

TUCH: Turning Cross-view Hashing into Single-view Hashing via Generative Adversarial Nets.
Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017


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