Overflow warning and remote monitoring technology based on improved random forest. - Haibo Liang; Haochen Han; Pengbo Ni; Yingjun Jiang (Neural Comput. Appl., 2021)

Noisy Correspondence Learning with Meta Similarity Correction. - Haochen Han; Kaiyao Miao; Qinghua Zheng; Minnan Luo (CVPR, 2023)

Robotic milling stability optimization based on robot functional redundancy. - Ke Gao; Xiaoqin Zhou; Rongqi Wang; Mingxu Fan; Haochen Han (Ind. Robot, 2023)

Learning to Rematch Mismatched Pairs for Robust Cross-Modal Retrieval. - Haochen Han; Qinghua Zheng; Guang Dai; Minnan Luo; Jingdong Wang 001 (CVPR, 2024)

Adversarial Reconstruction of Trajectories: Privacy Risks and Attack Models in Trajectory Embedding. - Haochen Han; Shuaiyu Yang; Jiaxin Ding 001; Luoyi Fu; Xinbing Wang; Chenghu Zhou (SIGSPATIAL/GIS, 2024)

A Unified Optimal Transport Framework for Cross-Modal Retrieval with Noisy Labels. - Haochen Han; Minnan Luo; Huan Liu; Fang Nan (CoRR, 2024)

Noise-Tolerant Learning for Audio-Visual Action Recognition. - Haochen Han; Qinghua Zheng; Minnan Luo; Kaiyao Miao; Feng Tian 002; Yan Chen 031 (IEEE Trans. Multim., 2024)

Disentangled Noisy Correspondence Learning. - Zhuohang Dang; Minnan Luo; Jihong Wang 003; Chengyou Jia; Haochen Han; Herun Wan; Guang Dai; Xiaojun Chang; Jingdong Wang 001 (IEEE Trans. Image Process., 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, 2025)

Unlearning the Noisy Correspondence Makes CLIP More Robust. - Haochen Han; Alex Jinpeng Wang; Peijun Ye 002; Fangming Liu (CoRR, 2025)

Negation-Aware Test-Time Adaptation for Vision-Language Models. - Haochen Han; Alex Jinpeng Wang; Fangming Liu (CoRR, 2025)