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Ph.D.

The University of Hong Kong (HKU)

Computational Imaging and Computer Vision

M.S.

Northwestern University (NU)

Computer Science

B.S.

Wake Forest University (WFU)

Computer Science and Finance

Best Paper Award (Third Place)

IEEE 34th International Workshop on Machine Learning for Signal Processing (MLSP)

Hong Kong PhD Fellowship Scheme 2024 Nomination

Research Grants Council (RGC) of Hong Kong

Poster Presentation Acceptance at MMLS 2023

Midwest Machine Learning Symposium (MMLS)

Wake Forest University CS Honor Student

Wake Forest University

Third Place in DCASE 2021 Challenge (Task 6: Automated Audio Captioning)

IEEE AASP Challenge on Detection and Classification of Acoustic Scenes and Events (DCASE)

URECA Research Scholar Award

Wake Forest University

Third Prize in China Region and Special Award, Imagine Cup 2017

Microsoft Imagine Cup

All-in-focus Fourier Ptychographic Microscopy via 3D Implicit Neural Representation

Advanced Devices and Instrumentation

Jingqian Wu, Chutian Wang, Shuo Zhu, Yunfei Tian, and Edmund Y. Lam.

SweepEvGS: Event-Based 3D Gaussian Splatting for Macro and Micro Radiance Field Rendering from a Single Sweep

IEEE Transactions on Circuits and Systems for Video Technology

Jingqian Wu, Shuo Zhu, Chutian Wang, Boxin Shi, and Edmund Y. Lam.

Segment Anything Model Is a Good Teacher for Local Feature Learning

IEEE Transactions on Image Processing

Jingqian Wu, Rongtao Xu, Zach Wood-Doughty, Changwei Wang, Shibiao Xu, and Edmund Y. Lam.

EV-GS: Event-based Gaussian Splatting for Efficient and Accurate Radiance Field Rendering

IEEE 34th International Workshop on Machine Learning for Signal Processing (MLSP) (🏆 Best Paper Award 🏆)

Jingqian Wu, Shuo Zhu, Chutian Wang, and Edmund Y. Lam.