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Tao Jia

AAAI 2026×2ICLR 2026SIGIR 2026效率与系统推理评测与基准安全可解释性
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0 一作 · 4 篇 · AAAI 2026 / ICLR 2026 / SIGIR 2026

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2026 顶会论文

4
作者位次 #4/4ICLR 2026Poster· Applications / Neuroscience, Cognitive Science

Accelerating Benchmarking of Functional Connectivity Modeling via Structure-aware Core-set Selection

Ling Zhan · Zhen Li · Jun-Jie Huang · Tao Jia

评测与基准OpenReview
作者位次 #4/4SIGIR 2026Oral· Information Retrieval (Full)

Inductive Dual-Polarity Modeling via Static–Dynamic Disentanglement for Dynamic Signed Networks

Yikang Hou · Jun-Jie Huang · Yijun Ran · Tao Jia

摘要

Dynamic signed networks (DSNs) are common in online platforms, where time-stamped positive and negative relations evolve over time. A core task in DSNs is dynamic edge prediction, which forecasts future relations by jointly modeling edge existence and polarity (positive, negative, or non-existent...

安全可解释性效率与系统OpenReview
作者位次 #4/4AAAI 2026Poster· Artificial Intelligence

Learning to Compress Graphs via Dual Agents for Consistent Topological Robustness Evaluation

Qisen Chai · Yansong Wang · Jun-Jie Huang · Tao Jia

推理智能体与工具效率与系统OpenReview

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