Ziqi Jiang

I'm a PhD student at Long Group, HKUST, advised by Long Chen. Previouly I got my B.S. degree from ZheJiang University.

My research interests lie in computer vision, machine learning, with a special focus on grenative models, both their theory and applications.

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Publications

b3do CLIPDrag: Combining Text-based and Drag-based Instructions for Image Editing
Ziqi Jiang, Zhen Wang, Long Chen
ICLR, 2025
paper / code

We propose CLIPDrag, a solution that incorporates text signals into drag-based methods by using text signals as global information

b3do Causal Distillation for Alleviating Performance Heterogeneity in Recommender Systems
Shengyu Zhang, Ziqi Jiang, Jiangchao Yao, Fuli Feng, Kun Kuang, Zhou Zhao, Shuo Li, Hongxia Yang, Tat-Seng Chua, Fei Wu
TKDE, 2023
paper

We propose a causal multi-teacher distillation(CausalD) framework, which realizes FDA to estimate the causal effect and preserves the inference efficiency.

b3do Weakly-supervised Disentanglement Network for Video Fingerspelling Detection
Ziqi Jiang, Shengyu Zhang, Siyuan Yao, Wenqiao Zhang, Sihan Zhang, Juncheng Li, Zhou Zhao, Fei Wu
ACM MM, 2022
paper

We devise a novel WED framework that disentangles fingerspelling letter representations through VAE and masked reconstruction, followed by the DMM that leverages the disentangled knowledge for detection and recognition as humans do.