He is a Ph.D. candidate at KU Leuven under the supervision of Prof. Tinne Tuytelaars and Dr. Minye Wu. He has a cooperation with Prof. José Oramas and Kaili Wang during master study at KU Leuven. Before that, He obtained his Bachelor's degree from the University of Macau. His research interests are Embodied AI and Neural Rendering.

Navigating the Nuances: A Fine-grained Evaluation of Vision-Language Navigation

Zehao Wang, Minye Wu, Yixin Cao, Yubo Ma, Meiqi Chen, Tinne Tuytelaars

EMNLP 2024 Findings

Project | Code | Paper

TeTriRF: Temporal Tri-Plane Radiance Fields for Efficient Free-Viewpoint Video

Minye Wu, Zehao Wang, Georgios Kouros, Tinne Tuytelaars

CVPR 2024 main conference

Project | Code | Paper

Few-shot Event Detection: An Empirical Study and a Unified View

Yubo Ma, Zehao Wang, Yixin Cao, Aixin Sun

ACL 2023 main conference

Code | Paper

Instruction-guided path planning with 3D semantic maps for vision-language navigation

Zehao Wang^*, Mingxiao Li^*, Minye Wu, Marie-Francine Moens, Tinne Tuytelaars

Neurocomputing

Code | Journal version | preprint v.2023 | arxiv v.2022

Layout-aware Dreamer for Embodied Referring Expression Grounding

Mingxiao Li^*, Zehao Wang^*, Tinne Tuytelaars, Marie-Francine Moens

AAAI 2023 main conference (Oral)

Code | Paper

Prompt for Extraction? PAIE: Prompting Argument Interaction for Event Argument Extraction

Yubo Ma^*, Zehao Wang^*, Mukai Li, Meiqi Chen, Kun Wang, Jing Shao, Yixin Cao

ACL 2022 main conference

Code | Paper

MMEKG: Multi-modal Event Knowledge Graph towards Universal Representation across Modalities

Yubo Ma^*, Zehao Wang^*, Mukai Li^*, Yixin Cao^*, Meiqi Chen^*, Zexin Li, Wenqi Sun, Kunquan Deng, Kun Wang, Aixin Sun, Jing Shao

ACL 2022 Demo track

Paper