Haochen You
Orcid: 0009-0008-9178-2912
According to our database1,
Haochen You
authored at least 21 papers
between 2024 and 2025.
Collaborative distances:
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Bibliography
2025
CoRR, November, 2025
GraphGeo: Multi-Agent Debate Framework for Visual Geo-localization with Heterogeneous Graph Neural Networks.
CoRR, November, 2025
CoRR, November, 2025
CoRR, October, 2025
GraphShaper: Geometry-aware Alignment for Improving Transfer Learning in Text-Attributed Graphs.
CoRR, October, 2025
HyperAgent: Leveraging Hypergraphs for Topology Optimization in Multi-Agent Communication.
CoRR, October, 2025
D3MAS: Decompose, Deduce, and Distribute for Enhanced Knowledge Sharing in Multi-Agent Systems.
CoRR, October, 2025
GraphTracer: Graph-Guided Failure Tracing in LLM Agents for Robust Multi-Turn Deep Search.
CoRR, October, 2025
ReSSFormer: A Recursive Sparse Structured Transformer for Scalable and Long-Context Reasoning.
CoRR, October, 2025
Gradient Shaping Beyond Clipping: A Functional Perspective on Update Magnitude Control.
CoRR, October, 2025
CoRR, September, 2025
AsyMoE: Leveraging Modal Asymmetry for Enhanced Expert Specialization in Large Vision-Language Models.
CoRR, September, 2025
FinSentLLM: Multi-LLM and Structured Semantic Signals for Enhanced Financial Sentiment Forecasting.
CoRR, September, 2025
FinZero: Launching Multi-modal Financial Time Series Forecast with Large Reasoning Model.
CoRR, September, 2025
CoRR, September, 2025
CoRR, August, 2025
Metric Embedding Initialization-Based Differentially Private and Explainable Graph Clustering.
Proceedings of the Knowledge Science, Engineering and Management, 2025
Proceedings of the International Joint Conference on Neural Networks, 2025
4S-Classifier: Empowering Conservation through Semi-Supervised Learning for Rare and Endangered Species.
Proceedings of the International Joint Conference on Neural Networks, 2025
Proceedings of the 34th ACM International Conference on Information and Knowledge Management, 2025
2024
Application of Pseudometric Functions in Clustering and a Novel Similarity Measure Based on Path Information Discrepancy.
Proceedings of the Neural Information Processing - 31st International Conference, 2024