Yan Zhang

Orcid: 0000-0003-4003-0290

Affiliations:
  • Peking University, School of Intelligence Science and Technology, Beijing, China


According to our database1, Yan Zhang authored at least 26 papers between 2020 and 2025.

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Bibliography

2025
Advancing Session-Based Recommendations with Atten-Mixer+: Dynamic and Adaptive Multi-Level Intent Mining.
ACM Trans. Intell. Syst. Technol., October, 2025

DecoupleSearch: Decouple Planning and Search via Hierarchical Reward Modeling.
CoRR, October, 2025

ZeroSearch: Incentivize the Search Capability of LLMs without Searching.
CoRR, May, 2025

Unveil: Unified Visual-Textual Integration and Distillation for Multi-modal Document Retrieval.
Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

2024
LEAD: Liberal Feature-based Distillation for Dense Retrieval.
Proceedings of the 17th ACM International Conference on Web Search and Data Mining, 2024

Generative Auto-bidding via Conditional Diffusion Modeling.
Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

Retrieved In-Context Principles from Previous Mistakes.
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

Towards Verifiable Text Generation with Evolving Memory and Self-Reflection.
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

AdaSwitch: Adaptive Switching between Small and Large Agents for Effective Cloud-Local Collaborative Learning.
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

2023
BeamSearchQA: Large Language Models are Strong Zero-Shot QA Solver.
CoRR, 2023

Homophily-oriented Heterogeneous Graph Rewiring.
Proceedings of the ACM Web Conference 2023, 2023

Efficiently Leveraging Multi-level User Intent for Session-based Recommendation via Atten-Mixer Network.
Proceedings of the Sixteenth ACM International Conference on Web Search and Data Mining, 2023

On Manipulating Signals of User-Item Graph: A Jacobi Polynomial-based Graph Collaborative Filtering.
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

Allies: Prompting Large Language Model with Beam Search.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

History Semantic Graph Enhanced Conversational KBQA with Temporal Information Modeling.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

2022
LEAD: Liberal Feature-based Distillation for Dense Retrieval.
CoRR, 2022

Inferring Network Structure with Unobservable Nodes from Time Series Data.
CoRR, 2022

NEDMP: Neural Enhanced Dynamic Message Passing.
CoRR, 2022

ConLearn: Contextual-knowledge-aware Concept Prerequisite Relation Learning with Graph Neural Network.
Proceedings of the 2022 SIAM International Conference on Data Mining, 2022

Small Changes Make Big Differences: Improving Multi-turn Response Selection in Dialogue Systems via Fine-Grained Contrastive Learning.
Proceedings of the 23rd Annual Conference of the International Speech Communication Association, 2022

AMCAD: Adaptive Mixed-Curvature Representation based Advertisement Retrieval System.
Proceedings of the 38th IEEE International Conference on Data Engineering, 2022

Evolutionary Preference Learning via Graph Nested GRU ODE for Session-based Recommendation.
Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

Neural Enhanced Dynamic Message Passing.
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2022

2021
Keep the Structure: A Latent Shift-Reduce Parser for Semantic Parsing.
Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

SMAD: Scalable Multi-view Ad Retrieval System for E-Commerce Sponsored Search.
Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

2020
"What Do You Mean by That?" A Parser-Independent Interactive Approach for Enhancing Text-to-SQL.
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020


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