Paper '4KAgent: Agentic Any Image to 4K Super-Resolution' accepted by NeurIPS 2025
Paper 'Safeguarding Vision-Language Models: Mitigating Vulnerabilities to Gaussian Noise in Perturbation-based Attacks' accepted by ICCV 2025 (equal contribution)
Paper 'See In Detail: Enhancing Sparse-view 3D Gaussian Splatting with Local Depth and Semantic Regularization' accepted by ICASSP 2025
Paper 'Towards Multi-View Consistent Style Transfer with One-Step Diffusion via Vision Conditioning' accepted by AI4VA Workshop at ECCV 2024
1st place in NTIRE 2025 Challenge on Short-form UGC Image Super-Resolution (4x) at CVPR 2025
2nd place in AIM 2024 Challenge on Efficient Video Super-Resolution for AV1 Compressed Content at ECCV 2024; method FSMD featured in summary paper
Ranked 10/60 in NTIRE 2021 Challenge on Image Deblurring at CVPR 2021; method Visual Token Transformer included in summary paper
Paper 'Low-resolution palmprint image denoising by generative adversarial networks' published in Neurocomputing 2019
Received 'Stars-of-tomorrow' award from MSRA Internship Program in 2022
Research Experience
Jan 2025–present: Research Intern at Texas A&M University (TAMU), supervised by Prof. Zhengzhong Tu
Apr 2024–Jan 2025: Research Assistant at The Hong Kong Polytechnic University (PolyU), supervised by Prof. Kenneth K. M. Lam
Jul 2022 onward: Applied Scientist at Microsoft, working on recommendation systems and LLM applications in Bing
Jul 2021: Research Intern at Microsoft Research Asia (MSRA), Multi-Modal Interaction (MMI) Group (led by Dr. Qiang Huo), collaborating with Azure OCR team on multi-directional table detection in PDF images
Interned at Tencent Youtu Lab
Background
Research interests include image/video generation, vision-language models, low-level vision, Agentic AI, object detection and segmentation, and 3D vision.
Currently a research intern in the TACO group at Texas A&M University (TAMU), advised by Prof. Zhengzhong Tu, collaborating closely with Renjie Li.
Previously a research assistant at The Hong Kong Polytechnic University (PolyU), advised by Prof. Kenneth K. M. Lam, collaborating with Jun Xiao.
Former Applied Scientist at Microsoft, focusing on recommendation systems and LLM applications in Bing.
Interned at Microsoft Research Asia (MSRA) and Tencent Youtu Lab.
Actively seeking PhD and research positions worldwide.