Papers by Juwei Yue

3 papers
Adaptive Attentional Network for Few-Shot Knowledge Graph Completion (2020.emnlp-main)

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Challenge: Recent attempts to learn static representations of entities and references ignore their dynamic properties.
Approach: They propose to learn static representations of entities and references ignoring their dynamic properties . a neighbor encoder learns entities' roles while a query-aware aggregator learns references' contributions .
Outcome: The proposed approach achieves state-of-the-art results with different few-shot sizes.
ExpSeek: Self-Triggered Experience Seeking for Web Agents (2026.findings-acl)

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Challenge: Existing methods for integrating experience into web agents are struggling to adapt to dynamically changing contextual observations during agent-environment interaction.
Approach: They propose a model that shifts experience toward step-level proactive seeking by estimating step- level entropy thresholds and designing step-Level tailored experience content.
Outcome: The proposed model achieves 9.3% and 7.5% performance improvements on Qwen3-8B and 32B models across four challenging web agent benchmarks.
HyperMem: Hypergraph Memory for Long-Term Conversations (2026.acl-long)

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Challenge: Existing approaches to long-term memory management rely on pairwise relations, causing fragmented retrieval.
Approach: They propose a hypergraph-based hierarchical memory architecture that explicitly models high-order associations using hyperedges.
Outcome: Experiments show that HyperMem achieves state-of-the-art performance with 92.73% accuracy for long-term conversations.

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