Papers by Juyuan Zhang

2 papers
TopoDIM: One-shot Topology Generation of Diverse Interaction Modes for Multi-Agent Systems (2026.findings-acl)

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Challenge: Existing communication topologies rely on spatio-temporal dialogues, which incur high latency and computation.
Approach: They propose a framework for one-shot Topology generation with Diverse Interaction Modes that enables agents to construct heterogeneous communication without iterative coordination.
Outcome: The proposed framework reduces total token consumption by 46.41% while improving average performance by 1.50% over state-of-the-art methods.
Time-LlaMA: Adapting Large Language Models for Time Series Modeling via Dynamic Low-rank Adaptation (2025.acl-srw)

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Challenge: Recent studies have demonstrated that large language models possess robust pattern recognition and semantic understanding capabilities over time series data.
Approach: They propose a time series model that converts time series input into token embeddings and aligns time sequence embeddables with text prompts.
Outcome: The proposed framework achieves the state-of-the-art (SOTA) performance and has potentials for wide industrial usages.

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