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Showing papers from Jilin University, China Show all papers

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NeurIPS 2026TianjinJilin University, ChinaBeijing University of Posts and Spatio-temporal forecasting

Learning Continuously Evolving Spatio-Temporal Explanations for Traffic Flow Forecasting

Cuiying Huo, Baoxu Wang, Lin Wu, Yu Mei and 3 more

Sydney Poster Session 5, Thu, Dec 10, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026

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45%Niche pick
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NeurIPS 2026TianjinHebei University of TechnologyJilin University, ChinaGraph neural networks

Adaptive Attribute Completion with Representation Space for Incomplete Graph Domain Adaptation

Niya Yang, Di Jin, Zhizhi Yu, Liang Yang and 3 more

Sydney Poster Session 4, Wed, Dec 9, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026

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NeurIPS 2026JilinJilin University, ChinaGraph transformers

DualSAT: A Dual-Branch GNN-Transformer Framework for SAT Solving

Wenzhu Yang, Zhanshan Li, Jingyao Li

Sydney Poster Session 4, Wed, Dec 9, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026

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57%Worth a look
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NeurIPS 2026TianjinHebei University of TechnologyJilin University, ChinaImage recognition

FC-DGCN: Deep Graph Convolutional Network for Face Clustering and Recognition

Ling Ding, Di Jin, Zhizhi Yu, Liang Yang and 1 more

Sydney Poster Session 4, Wed, Dec 9, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026

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AI panel: 1 of 20 reviewers recommend it
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71%Highly rated
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NeurIPS 2026Jilin University, ChinaJilinThe University of SydneyCity, University of London, UKAGH University of Science and TeFlow matching

Disentangled Representation Learning via Flow Matching

A flow matching framework learns disentangled representations via factor-conditioned flows and orthogonality regularization, improving disentanglement, controllability, and sample fidelity over diffusion baselines.

Jinjin Chi, Taoping Liu, Mengtao Yin, Ximing Li and 4 more

Sydney Poster Session 5, Thu, Dec 10, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026

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7/20 AI panelreviewers recommend it

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AI panel: 7 of 20 reviewers recommend it
lenient 4/5
medium 3/10
strict 0/5