Tianyu Hong — accepted AI-conference papers

2026

Benchmarking and Enhancing Relational Diagrams Reasoning for Multimodal Large Language Models

Tianyu Hong, Peng Wang, Wenjun Ke, Yao He, Hongao Wang

IJCAI 2026

Multimodal Large Language Models (MLLMs) have achieved strong performance on a wide range of vision--language tasks. However, their capabilities remain unclear in relational-diagram (RD) reasoning, where correct answers must satisfy diagram-defined constraints such as directed dependencies, branchin

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2025

Communication-Efficient Multi-Vehicle Collaborative Semantic Segmentation via Sparse 3D Gaussian Sharing

Tianyu Hong, Xiaobo Zhou, Wenkai Hu, Qi Xie, Zhihui Ke, Tie Qiu

ICCV 2025poster

Collaborative perception is considered a promising approach to address the inherent limitations of single-vehicle systems by sharing data among vehicles, thereby enhancing performance in perception tasks such as bird's-eye view (BEV) semantic segmentation. However, existing methods share the entire…

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