Knowing Depth Quality In Advance: A Depth Quality Assessment Method For RGB-D Salient Object Detection. - Xuehao Wang; Shuai Li 001; Chenglizhao Chen; Aimin Hao; Hong Qin 001 (CoRR, 2020)

Depth quality-aware selective saliency fusion for RGB-D image salient object detection. - Xuehao Wang; Shuai Li 001; Chenglizhao Chen; Aimin Hao; Hong Qin 001 (Neurocomputing, 2021)

Data-Level Recombination and Lightweight Fusion Scheme for RGB-D Salient Object Detection. - Xuehao Wang; Shuai Li 001; Chenglizhao Chen; Yuming Fang; Aimin Hao; Hong Qin 001 (IEEE Trans. Image Process., 2021)

Multi-Task Learning via Time-Aware Neural ODE. - Feiyang Ye 001; Xuehao Wang; Yu Zhang 006; Ivor W. Tsang (IJCAI, 2023)

Modality Profile - A New Critical Aspect to be Considered When Generating RGB-D Salient Object Detection Training Set. - Xuehao Wang; Shuai Li 001; Chenglizhao Chen; Aimin Hao; Hong Qin 001 (ACM Multimedia, 2023)

Semi-Supervised Medical Image Segmentation with Cross-View Consistency and Contrastive Learning. - Bo Sun; Kexuan Li; Jingjuan Liu; Zhen Sun; Xuehao Wang; Huadan Xue; Aimin Hao; Shuai Li 001; Yi Xiao (BIBM, 2024)

Adaptive Stochastic Gradient Algorithm for Black-box Multi-Objective Learning. - Feiyang Ye 001; Yueming Lyu; Xuehao Wang; Yu Zhang 006; Ivor W. Tsang (ICLR, 2024)

Time-Varying LoRA: Towards Effective Cross-Domain Fine-Tuning of Diffusion Models. - Zhan Zhuang; Yulong Zhang; Xuehao Wang; Jiangang Lu; Ying Wei; Yu Zhang (NeurIPS, 2024)

Enhancing Sharpness-Aware Minimization by Learning Perturbation Radius. - Xuehao Wang; Weisen Jiang; Shuai Fu; Yu Zhang 006 (ECML/PKDD (2), 2024)

IG-Net: An Instrument-guided real-time semantic segmentation framework for prostate dissection during surgery for low rectal cancer. - Bo Sun; Zhen Sun; Kexuan Li; Xuehao Wang; Guotao Wang; Wenfeng Song; Shuai Li 001; Aimin Hao; Yi Xiao (Comput. Methods Programs Biomed., 2024)

Task-Aware Low-Rank Adaptation of Segment Anything Model. - Xuehao Wang; Feiyang Ye 001; Yu Zhang 006 (CoRR, 2024)

Sharpness-Aware Black-Box Optimization. - Feiyang Ye 001; Yueming Lyu; Xuehao Wang; Masashi Sugiyama; Yu Zhang 006; Ivor W. Tsang (ICLR, 2025)

HeadMap: Locating and Enhancing Knowledge Circuits in LLMs. - Xuehao Wang; Liyuan Wang; Binghuai Lin; Yu Zhang (ICLR, 2025)

MTSAM: Multi-Task Fine-Tuning for Segment Anything Model. - Xuehao Wang; Zhan Zhuang; Feiyang Ye 001; Yu Zhang 006 (ICLR, 2025)

Advancing MRI segmentation with CLIP-driven semi-supervised learning and semantic alignment. - Bo Sun; Kexuan Li; Jingjuan Liu; Zhen Sun; Xuehao Wang; Yuanbo He; Xin Zhao; Huadan Xue; Aimin Hao; Shuai Li 001; Yi Xiao (Neurocomputing, 2025)

Open the Eyes of MPNN: Vision Enhances MPNN in Link Prediction. - Yanbin Wei; Xuehao Wang; Zhan Zhuang; Yang Chen; Shuhao Chen; Yulong Zhang; Yu Zhang 006; James T. Kwok (CoRR, 2025)

MoPFormer: Motion-Primitive Transformer for Wearable-Sensor Activity Recognition. - Hao Zhang; Zhan Zhuang; Xuehao Wang; Xiaodong Yang; Yu Zhang (CoRR, 2025)

Come Together, But Not Right Now: A Progressive Strategy to Boost Low-Rank Adaptation. - Zhan Zhuang; Xiequn Wang; Wei Li; Yulong Zhang; Qiushi Huang; Shuhao Chen; Xuehao Wang; Yanbin Wei; Yuhe Nie; Kede Ma; Yu Zhang 006; Ying Wei 001 (CoRR, 2025)

A Compact Reconfigurable Terrestrial-Aerial Robot With Foldable Mechanisms for Rolling, Crawling, and Flying. - Qing Chang 002; Xiangyun Zhao; Hongsheng Ren; Haifeng Li; Xuehao Wang (IEEE Robotics Autom. Lett., 2025)