Haochen Han

According to our database, Haochen Han authored at least 18 papers between 2021 and 2026.

Collaborative distances:

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

2026

When the Prompt Becomes Visual: Vision-Centric Jailbreak Attacks for Large Image Editing Models.

Jiacheng Hou, Yining Sun, Ruochong Jin, Haochen Han, Fangming Liu, Wai Kin Victor Chan, Alex Jinpeng Wang

CoRR, February, 2026

2025

TextEditBench: Evaluating Reasoning-aware Text Editing Beyond Rendering.

Rui Gui, Yang Wan, Haochen Han, Dongxing Mao, Fangming Liu, Min Li, Alex Jinpeng Wang

CoRR, December, 2025

A Unified Optimal Transport Framework for Cross-Modal Retrieval With Noisy Labels.

Haochen Han, Minnan Luo, Huan Liu, Fang Nan, Jun Liu

IEEE Trans. Neural Networks Learn. Syst., September, 2025

Negation-Aware Test-Time Adaptation for Vision-Language Models.

Haochen Han, Alex Jinpeng Wang, Fangming Liu

CoRR, July, 2025

Seeing is Not Reasoning: MVPBench for Graph-based Evaluation of Multi-path Visual Physical CoT.

Zhuobai Dong, Junchao Yi, Ziyuan Zheng, Haochen Han, Xiangxi Zheng, Alex Jinpeng Wang, Fangming Liu, Linjie Li

CoRR, May, 2025

Visual-guided human-object interaction detection.

Fang Nan, Ni Zhang, Nian Liu, Haochen Han, Binglu Wang

Vis. Intell., 2025

Disentangled Noisy Correspondence Learning.

Zhuohang Dang, Minnan Luo, Jihong Wang, Chengyou Jia, Haochen Han, Herun Wan, Guang Dai, Xiaojun Chang, Jingdong Wang

IEEE Trans. Image Process., 2025

Leveraging Homophily Under Local Differential Privacy for Effective Graph Neural Networks.

Yule Xie, Jiaxin Ding, Pengyu Xue, Xin Ding, Haochen Han, Luoyi Fu, Xinbing Wang

Proceedings of the Machine Learning and Knowledge Discovery in Databases. Research Track, 2025

Unlearning the Noisy Correspondence Makes CLIP More Robust.

Haochen Han, Alex Jinpeng Wang, Peijun Ye, Fangming Liu

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2025

RECALL: REpresentation-aligned Catastrophic-forgetting ALLeviation via Hierarchical Model Merging.

Bowen Wang, Haiyuan Wan, Liwen Shi, Chen Yang, Peng He, Yue Ma, Haochen Han, Wenhao Li, Tiao Tan, Yongjian Li, Fangming Liu, Yifan Gong, Sheng Zhang

Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing, 2025

CELLM: Curvature Enhanced Large Language Models for Graph Structure Learning.

Xin Ding, Jiaxin Ding, Haochen Han, Haoxiang Zhang, Yule Xie, Luoyi Fu, Xinbing Wang

Proceedings of the Database Systems for Advanced Applications, 2025

2024

Noise-Tolerant Learning for Audio-Visual Action Recognition.

Haochen Han, Qinghua Zheng, Minnan Luo, Kaiyao Miao, Feng Tian, Yan Chen

IEEE Trans. Multim., 2024

A Unified Optimal Transport Framework for Cross-Modal Retrieval with Noisy Labels.

Haochen Han, Minnan Luo, Huan Liu, Fang Nan

CoRR, 2024

Adversarial Reconstruction of Trajectories: Privacy Risks and Attack Models in Trajectory Embedding.

Haochen Han, Shuaiyu Yang, Jiaxin Ding, Luoyi Fu, Xinbing Wang, Chenghu Zhou

Proceedings of the 32nd ACM International Conference on Advances in Geographic Information Systems, 2024

Learning to Rematch Mismatched Pairs for Robust Cross-Modal Retrieval.

Haochen Han, Qinghua Zheng, Guang Dai, Minnan Luo, Jingdong Wang

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023

Robotic milling stability optimization based on robot functional redundancy.

Ke Gao, Xiaoqin Zhou, Rongqi Wang, Mingxu Fan, Haochen Han

Ind. Robot, 2023

Noisy Correspondence Learning with Meta Similarity Correction.

Haochen Han, Kaiyao Miao, Qinghua Zheng, Minnan Luo

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2021

Overflow warning and remote monitoring technology based on improved random forest.

Haibo Liang, Haochen Han, Pengbo Ni, Yingjun Jiang

Neural Comput. Appl., 2021