Last-year Ph.D. directed by
Prof. Huchuan Lu from
Dalian University of Technology.
Research Interests: Deep Learning, Machine Learning, Computer Vision. Specifically,
1. Vision-Language Retrieval:
SGRAF (AAAI'21),
RCAR (TIP'23),
DBL (TIP'24),
GSSF (TIP'24)
2. Efficient Transfer Learning:
UniPT (CVPR'24),
SHERL (ECCV'24),
SoLA (2024),
KARST (ICASSP'24)
3. Multi-Modality Perception:
EVE (NeurIPS'24),
EVEv2 (2024),
DenseFusion (NeurIPS'24),
Infinity-MM (2024)
4. Multi-Modality Generation:
NOVA (ICLR'25),
MoTrans (ACMMM'24)
5. Multi-Modality Unification:
ETT (2025)
Research Pursuits: Develop an efficient and reliable mechanism that can proficiently
recognize visual-semantic perception, contextualize fine-grained interaction across
modalities, and mimick human-like judgement and decision-making capabilities.
Open Resources:
[Awesome_Matching_Pretraining_Transfering]
[Awesome_Image_Text_Retrieval_Benchmark]
Sep. 2023 -- Present: Research intern at
BAAI with
Dr. Xinlong Wang
on Large Multimodality Model for Understanding and Generation.
Jan. 2023 -- Aug. 2023: Remote cooperation with
Ph.D. Bo Wan from
KU Leuven and
Asst. Prof. Long Chen from
HKUST
on Parameter-efficient Transfer Learning.
Jun. 2020 -- Mar. 2021: Research intern at
Tencent AI Lab with
Dr. Ying Zhang and
Dr. Lin Ma
on Image-Text Retrieval, Cross-modal Boosting and Metric Learning.
Sep. 2023: Start the research internship at BAAI.
Jun. 2020: Start the research internship at Tencent AI Lab.
