Zhangqi Jiang

According to our database, Zhangqi Jiang authored at least 10 papers between 2024 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

GEditBench v2: A Human-Aligned Benchmark for General Image Editing.

Zhangqi Jiang, Zheng Sun, Xianfang Zeng, Yufeng Yang, Xuanyang Zhang, Yongliang Wu, Wei Cheng, Gang Yu, Xu Yang, Bihan Wen

CoRR, March, 2026

RealRestorer: Towards Generalizable Real-World Image Restoration with Large-Scale Image Editing Models.

Yufeng Yang, Xianfang Zeng, Zhangqi Jiang, Fukun Yin, Jianzhuang Liu, Wei Cheng, Jinghong Lan, Shiyu Liu, Yuqi Peng, Gang Yu, Shifeng Chen

CoRR, March, 2026

Unaligned multi-view clustering via diversified anchor graph fusion.

Hongyu Jiang, Hong Tao, Zhangqi Jiang, Chenping Hou

Pattern Recognit., 2026

ESTIM: Efficient and Scalable Tensorial Incomplete Multi-view Semi-supervised Classification.

Tingjin Luo, XiangYao Li, Zhangqi Jiang, Shuanghui Zhang, Dewen Hu

Proceedings of the 32nd ACM SIGKDD Conference on Knowledge Discovery and Data Mining V.1, 2026

2025

Adversarial Graph Fusion for Incomplete Multi-view Semi-supervised Learning with Tensorial Imputation.

Zhangqi Jiang, Tingjin Luo, Xu Yang, Xinyan Liang

CoRR, September, 2025

Devils in Middle Layers of Large Vision-Language Models: Interpreting, Detecting and Mitigating Object Hallucinations via Attention Lens.

Zhangqi Jiang, Junkai Chen, Beier Zhu, Tingjin Luo, Yankun Shen, Xu Yang

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

Core-to-Global Reasoning for Compositional Visual Question Answering.

Hao Zhou, Tingjin Luo, Zhangqi Jiang

Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025

Semi-Supervised Multi-View Multi-Label Learning with View-Specific Transformer and Enhanced Pseudo-Label.

Quanjiang Li, Tingjin Luo, Mingdie Jiang, Zhangqi Jiang, Chenping Hou, Feijiang Li

Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025

2024

Deep Incomplete Multi-View Network Semi-Supervised Multi-Label Learning with Unbiased Loss.

Quanjiang Li, Tingjin Luo, Mingdie Jiang, Jiahui Liao, Zhangqi Jiang

Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024

Deep Incomplete Multi-View Learning Network with Insufficient Label Information.

Zhangqi Jiang, Tingjin Luo, Xinyan Liang

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024