Yuhan Liu

Orcid: 0000-0003-2912-750X

Affiliations:
  • Xiaomi, Beijing, China


According to our database1, Yuhan Liu authored at least 22 papers between 2018 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
PatchCue: Enhancing Vision-Language Model Reasoning with Patch-Based Visual Cues.
CoRR, March, 2026

2025
ViPER: Empowering the Self-Evolution of Visual Perception Abilities in Vision-Language Model.
CoRR, October, 2025

Divide-Fuse-Conquer: Eliciting "Aha Moments" in Multi-Scenario Games.
CoRR, May, 2025

The Truth Becomes Clearer Through Debate! Multi-Agent Systems with Large Language Models Unmask Fake News.
CoRR, May, 2025

Thinking Before Running! Efficient Code Generation with Thorough Exploration and Optimal Refinement.
CoRR, February, 2025

Pastiche Novel Generation Creating: Fan Fiction You Love in Your Favorite Author's Style.
CoRR, February, 2025

More is not always better? Enhancing Many-Shot In-Context Learning with Differentiated and Reweighting Objectives.
CoRR, January, 2025

SAGraph: A Large-Scale Social Graph Dataset with Comprehensive Context for Influencer Selection in Marketing.
Proceedings of the 48th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2025

<i>The Truth Becomes Clearer Through Debate!</i> Multi-Agent Systems with Large Language Models Unmask Fake News.
Proceedings of the 48th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2025

Injecting Domain-Specific Knowledge into Large Language Models: A Comprehensive Survey.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2025, 2025

Beyond Static Testbeds: An Interaction-Centric Agent Simulation Platform for Dynamic Recommender Systems.
Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing, 2025

Thinking Before Running! Efficient Code Generation with Thorough Exploration and Optimal Refinement.
Proceedings of the Findings of the Association for Computational Linguistics, 2025

More is not always better? Enhancing Many-Shot In-Context Learning with Differentiated and Reweighting Objectives.
Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

Weaving Context Across Images: Improving Vision-Language Models through Focus-Centric Visual Chains.
Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

2024
A Large-scale Time-aware Agents Simulation for Influencer Selection in Digital Advertising Campaigns.
CoRR, 2024

From a Tiny Slip to a Giant Leap: An LLM-Based Simulation for Fake News Evolution.
CoRR, 2024

LLM-Driven Agents for Influencer Selection in Digital Advertising Campaigns.
CoRR, 2024

Bridging the Space Gap: Unifying Geometry Knowledge Graph Embedding with Optimal Transport.
Proceedings of the ACM on Web Conference 2024, 2024

From Skepticism to Acceptance: Simulating the Attitude Dynamics Toward Fake News.
Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

IAD: In-Context Learning Ability Decoupler of Large Language Models in Meta-Training.
Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024

2021
A quasi fractional order gradient descent method with adaptive stepsize and its application in system identification.
Appl. Math. Comput., 2021

2018
Clustering based on grid and local density with priority-based expansion for multi-density data.
Inf. Sci., 2018


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