Yan Gao

Orcid: 0000-0002-8012-1392

Affiliations:
  • Rochester Institute of Technology, Computing and Information Sciences, Rochester, NY, USA
  • Amazon, Seattle, WA, USA


According to our database1, Yan Gao authored at least 21 papers between 2022 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
STRUCTUREDAGENT: Planning with AND/OR Trees for Long-Horizon Web Tasks.
CoRR, March, 2026

Pix2Key: Controllable Open-Vocabulary Retrieval with Semantic Decomposition and Self-Supervised Visual Dictionary Learning.
CoRR, February, 2026

2025
Learning by Analogy: A Causal Framework for Composition Generalization.
CoRR, December, 2025

Enabling Pareto-Stationarity Exploration in Multi-Objective Reinforcement Learning: A Multi-Objective Weighted-Chebyshev Actor-Critic Approach.
CoRR, July, 2025

PCL: Prompt-based Continual Learning for User Modeling in Recommender Systems.
Proceedings of the Companion Proceedings of the ACM on Web Conference 2025, 2025

Generative Prompting for Complex Product Retrieval.
Proceedings of the Companion Proceedings of the ACM on Web Conference 2025, 2025

Divide and Orthogonalize: Efficient Continual Learning with Local Model Space Projection.
Proceedings of the Conference on Uncertainty in Artificial Intelligence, 2025

STIMULUS: Achieving Fast Convergence and Low Sample Complexity in Stochastic Multi-Objective Learning.
Proceedings of the Conference on Uncertainty in Artificial Intelligence, 2025

Learning Attribute as Explicit Relation for Sequential Recommendation.
Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining, V.1, 2025

Enabling Pareto-Stationarity Exploration in Multi-Objective Reinforcement Learning: A Multi-Objective Weighted-Chebyshev Actor-Critic Approach.
Proceedings of the 64th IEEE Conference on Decision and Control, 2025

2024
Rethinking Sequential Relationships: Improving Sequential Recommenders with Inter-Sequence Data Augmentation.
Proceedings of the Companion Proceedings of the ACM on Web Conference 2024, 2024

Explainable Uncertainty Attribution for Sequential Recommendation.
Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2024

Finite-Time Convergence and Sample Complexity of Actor-Critic Multi-Objective Reinforcement Learning.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

Transitivity-Encoded Graph Attention Networks for Complementary Item Recommendations.
Proceedings of the IEEE International Conference on Data Mining, 2024

2023
Bandit Learning to Rank with Position-Based Click Models: Personalized and Equal Treatments.
CoRR, 2023

AdaSelection: Accelerating Deep Learning Training through Data Subsampling.
CoRR, 2023

Improving Product Search with Season-Aware Query-Product Semantic Similarity.
Proceedings of the Companion Proceedings of the ACM Web Conference 2023, 2023

Learning Attribute and Class-Specific Representation Duet for Fine-Grained Fashion Analysis.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022
Personalized Complementary Product Recommendation.
Proceedings of the Companion of The Web Conference 2022, Virtual Event / Lyon, France, April 25, 2022

Multi-task GNN for Substitute Identification.
Proceedings of the Companion of The Web Conference 2022, Virtual Event / Lyon, France, April 25, 2022

Fine-Grained Fashion Representation Learning by Online Deep Clustering.
Proceedings of the Computer Vision - ECCV 2022, 2022


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