Uncertainty teacher with dense focal loss for semi-supervised medical image segmentation. - Jialei Chen 001; Chong Fu 001; Haoyu Xie; Xu Zheng 002; Rong Geng; Chiu-Wing Sham (Comput. Biol. Medicine, 2022)

Uncertainty-aware deep co-training for semi-supervised medical image segmentation. - Xu Zheng 002; Chong Fu 001; Haoyu Xie; Jialei Chen 001; Xingwei Wang 001; Chiu-Wing Sham (Comput. Biol. Medicine, 2022)

All One Needs to Know about Priors for Deep Image Restoration and Enhancement: A Survey. - Yunfan Lu; Yiqi Lin; Hao Wu 094; Yunhao Luo 001; Xu Zheng 002; Lin Wang 025 (CoRR, 2022)

Transformer-CNN Cohort: Semi-supervised Semantic Segmentation by the Best of Both Students. - Xu Zheng 002; Yunhao Luo 001; Hao Wang 005; Chong Fu 001; Lin Wang 025 (CoRR, 2022)

Both Style and Distortion Matter: Dual-Path Unsupervised Domain Adaptation for Panoramic Semantic Segmentation. - Xu Zheng 002; Jinjing Zhu; Yexin Liu; Zidong Cao; Chong Fu 001; Lin Wang 025 (CVPR, 2023)

Look at the Neighbor: Distortion-aware Unsupervised Domain Adaptation for Panoramic Semantic Segmentation. - Xu Zheng 002; Tianbo Pan; Yunhao Luo 001; Lin Wang 025 (ICCV, 2023)

A Good Student is Cooperative and Reliable: CNN-Transformer Collaborative Learning for Semantic Segmentation. - Jinjing Zhu; Yunhao Luo 001; Xu Zheng 002; Hao Wang 005; Lin Wang 025 (ICCV, 2023)

Deep Learning for Event-based Vision: A Comprehensive Survey and Benchmarks. - Xu Zheng 002; Yexin Liu; Yunfan Lu; Tongyan Hua; Tianbo Pan; Weiming Zhang 001; Dacheng Tao; Lin Wang 025 (CoRR, 2023)

E-CLIP: Towards Label-efficient Event-based Open-world Understanding by CLIP. - Jiazhou Zhou; Xu Zheng 002; Yuanhuiyi Lyu; Lin Wang 025 (CoRR, 2023)

CLIP Is Also a Good Teacher: A New Learning Framework for Inductive Zero-shot Semantic Segmentation. - Jialei Chen 001; Daisuke Deguchi; Chenkai Zhang; Xu Zheng 002; Hiroshi Murase (CoRR, 2023)

Adversarial co-training for semantic segmentation over medical images. - Haoyu Xie; Chong Fu 001; Xu Zheng 002; Yu Zheng 021; Chiu-Wing Sham; Xingwei Wang 001 (Comput. Biol. Medicine, 2023)

Semantics, Distortion, and Style Matter: Towards Source-Free UDA for Panoramic Segmentation. - Xu Zheng 002; Pengyuan Zhou; Athanasios V. Vasilakos; Lin Wang 025 (CVPR, 2024)

Learning Modality-Agnostic Representation for Semantic Segmentation from Any Modalities. - Xu Zheng 002; Yuanhuiyi Lyu; Lin Wang 025 (ECCV (34), 2024)

Centering the Value of Every Modality: Towards Efficient and Resilient Modality-Agnostic Semantic Segmentation. - Xu Zheng 002; Yuanhuiyi Lyu; Jiazhou Zhou; Lin Wang 025 (ECCV (69), 2024)

EventBind: Learning a Unified Representation to Bind Them All for Event-Based Open-World Understanding. - Jiazhou Zhou; Xu Zheng 002; Yuanhuiyi Lyu; Lin Wang 025 (ECCV (70), 2024)

Transformer-CNN Cohort: Semi-supervised Semantic Segmentation by the Best of Both Students. - Xu Zheng 002; Yunhao Luo 001; Chong Fu 001; Kangcheng Liu; Lin Wang 025 (ICRA, 2024)

Chasing Day and Night: Towards Robust and Efficient All-Day Object Detection Guided by an Event Camera. - Jiahang Cao; Xu Zheng 002; Yuanhuiyi Lyu; Jiaxu Wang; Renjing Xu; Lin Wang 025 (ICRA, 2024)

Image Anything: Towards Reasoning-coherent and Training-free Multi-modal Image Generation. - Yuanhuiyi Lyu; Xu Zheng 002; Lin Wang 025 (CoRR, 2024)

UniBind: LLM-Augmented Unified and Balanced Representation Space to Bind Them All. - Yuanhuiyi Lyu; Xu Zheng 002; Jiazhou Zhou; Lin Wang 025 (CoRR, 2024)

ExACT: Language-guided Conceptual Reasoning and Uncertainty Estimation for Event-based Action Recognition and More. - Jiazhou Zhou; Xu Zheng 002; Yuanhuiyi Lyu; Lin Wang 025 (CoRR, 2024)

EventDance: Unsupervised Source-free Cross-modal Adaptation for Event-based Object Recognition. - Xu Zheng 002; Lin Wang 025 (CoRR, 2024)

GoodSAM: Bridging Domain and Capacity Gaps via Segment Anything Model for Distortion-aware Panoramic Semantic Segmentation. - Weiming Zhang 001; Yexin Liu; Xu Zheng 002; Lin Wang 025 (CoRR, 2024)

OmniBind: Teach to Build Unequal-Scale Modality Interaction for Omni-Bind of All. - Yuanhuiyi Lyu; Xu Zheng 002; Dahun Kim; Lin Wang 025 (CoRR, 2024)

EIT-1M: One Million EEG-Image-Text Pairs for Human Visual-textual Recognition and More. - Xu Zheng 002; Ling Wang; Kanghao Chen; Yuanhuiyi Lyu; Jiazhou Zhou; Lin Wang 025 (CoRR, 2024)

Learning Robust Anymodal Segmentor with Unimodal and Cross-modal Distillation. - Xu Zheng 002; Haiwei Xue; Jialei Chen 001; Yibo Yan; Lutao Jiang; Yuanhuiyi Lyu; Kailun Yang 001; Linfeng Zhang 001; Xuming Hu (CoRR, 2024)

A Survey of Mathematical Reasoning in the Era of Multimodal Large Language Model: Benchmark, Method & Challenges. - Yibo Yan; Jiamin Su; Jianxiang He; Fangteng Fu; Xu Zheng 002; Yuanhuiyi Lyu; Kun Wang 042; Shen Wang 005; Qingsong Wen; Xuming Hu (CoRR, 2024)

MAGIC++: Efficient and Resilient Modality-Agnostic Semantic Segmentation via Hierarchical Modality Selection. - Xu Zheng 002; Yuanhuiyi Lyu; Lutao Jiang; Jiazhou Zhou; Lin Wang 025; Xuming Hu (CoRR, 2024)

Frozen is better than learning: A new design of prototype-based classifier for semantic segmentation. - Jialei Chen 001; Daisuke Deguchi; Chenkai Zhang; Xu Zheng 002; Hiroshi Murase (Pattern Recognit., 2024)

MMUnlearner: Reformulating Multimodal Machine Unlearning in the Era of Multimodal Large Language Models. - Jiahao Huo; Yibo Yan; Xu Zheng 002; Yuanhuiyi Lyu; Xin Zou 001; Zhihua Wei; Xuming Hu (ACL (Findings), 2025)

A Survey of Mathematical Reasoning in the Era of Multimodal Large Language Model: Benchmark, Method & Challenges. - Yibo Yan; Jiamin Su; Jianxiang He; Fangteng Fu; Xu Zheng 002; Yuanhuiyi Lyu; Kun Wang 056; Shen Wang 005; Qingsong Wen; Xuming Hu (ACL (Findings), 2025)

Benchmarking Multi-modal Semantic Segmentation under Sensor Failures: Missing and Noisy Modality Robustness. - Chenfei Liao; Kaiyu Lei; Xu Zheng 002; Junha Moon; Zhixiong Wang; Yixuan Wang; Danda Pani Paudel; Luc Van Gool; Xuming Hu (CVPR Workshops, 2025)

Distilling efficient Vision Transformers from CNNs for semantic segmentation. - Xu Zheng 002; Yunhao Luo 001; Pengyuan Zhou; Lin Wang 025 (Pattern Recognit., 2025)

RealRAG: Retrieval-augmented Realistic Image Generation via Self-reflective Contrastive Learning. - Yuanhuiyi Lyu; Xu Zheng 002; Lutao Jiang; Yibo Yan; Xin Zou 001; Huiyu Zhou 005; Linfeng Zhang 001; Xuming Hu (CoRR, 2025)

360SFUDA++: Towards Source-Free UDA for Panoramic Segmentation by Learning Reliable Category Prototypes. - Xu Zheng 002; Peng Yuan Zhou; Athanasios V. Vasilakos; Lin Wang 025 (IEEE Trans. Pattern Anal. Mach. Intell., 2025)

Unveiling the Potential of Segment Anything Model 2 for RGB-Thermal Semantic Segmentation with Language Guidance. - Jiayi Zhao; Fei Teng; Kai Luo; Guoqiang Zhao; Zhiyong Li 001; Xu Zheng 002; Kailun Yang 001 (CoRR, 2025)

MemorySAM: Memorize Modalities and Semantics with Segment Anything Model 2 for Multi-modal Semantic Segmentation. - Chenfei Liao; Xu Zheng 002; Yuanhuiyi Lyu; Haiwei Xue; Yihong Cao; Jiawen Wang; Kailun Yang 001; Xuming Hu (CoRR, 2025)

OmniSAM: Omnidirectional Segment Anything Model for UDA in Panoramic Semantic Segmentation. - Ding Zhong; Xu Zheng 002; Chenfei Liao; Yuanhuiyi Lyu; Jialei Chen 001; Shengyang Wu; Linfeng Zhang 001; Xuming Hu (CoRR, 2025)

Retrieval Augmented Generation and Understanding in Vision: A Survey and New Outlook. - Xu Zheng 002; Ziqiao Weng; Yuanhuiyi Lyu; Lutao Jiang; Haiwei Xue; Bin Ren; Danda Pani Paudel; Nicu Sebe; Luc Van Gool; Xuming Hu (CoRR, 2025)

Split Matching for Inductive Zero-shot Semantic Segmentation. - Jialei Chen 001; Xu Zheng 002; Dongyue Li; Chong Yi; Seigo Ito; Danda Pani Paudel; Luc Van Gool; Hiroshi Murase; Daisuke Deguchi (CoRR, 2025)

Reducing Unimodal Bias in Multi-Modal Semantic Segmentation with Multi-Scale Functional Entropy Regularization. - Xu Zheng 002; Yuanhuiyi Lyu; Lutao Jiang; Danda Pani Paudel; Luc Van Gool; Xuming Hu (CoRR, 2025)

Adversarial Robustness for Unified Multi-Modal Encoders via Efficient Calibration. - Chih-Ting Liao; Bin Ren; Guofeng Mei; Xu Zheng 002 (CoRR, 2025)

Are Multimodal Large Language Models Ready for Omnidirectional Spatial Reasoning? - Zihao Dongfang; Xu Zheng 002; Ziqiao Weng; Yuanhuiyi Lyu; Danda Pani Paudel; Luc Van Gool; Kailun Yang 001; Xuming Hu (CoRR, 2025)

MLLMs are Deeply Affected by Modality Bias. - Xu Zheng 002; Chenfei Liao; Yuqian Fu; Kaiyu Lei; Yuanhuiyi Lyu; Lutao Jiang; Bin Ren; Jialei Chen 001; Jiawen Wang; Chengxin Li; Linfeng Zhang 001; Danda Pani Paudel; et al. (CoRR, 2025)

Manifold-aware Representation Learning for Degradation-agnostic Image Restoration. - Bin Ren; Yawei Li 001; Xu Zheng 002; Yuqian Fu; Danda Pani Paudel; Ming-Hsuan Yang 001; Luc Van Gool; Nicu Sebe (CoRR, 2025)

Self-Supervised and Generalizable Tokenization for CLIP-Based 3D Understanding. - Guofeng Mei; Bin Ren; Juan Liu 006; Luigi Riz; Xiaoshui Huang; Xu Zheng 002; Yongshun Gong; Ming-Hsuan Yang 001; Nicu Sebe; Fabio Poiesi (CoRR, 2025)

Shifting AI Efficiency From Model-Centric to Data-Centric Compression. - Xuyang Liu; Zichen Wen; Shaobo Wang 001; Junjie Chen; Zhishan Tao; Yubo Wang; Xiangqi Jin; Chang Zou; Yiyu Wang; Chenfei Liao; Xu Zheng 002; Honggang Chen; et al. (CoRR, 2025)

BiXFormer: A Robust Framework for Maximizing Modality Effectiveness in Multi-Modal Semantic Segmentation. - Jialei Chen 001; Xu Zheng 002; Danda Pani Paudel; Luc Van Gool; Hiroshi Murase; Daisuke Deguchi (CoRR, 2025)

Domain-RAG: Retrieval-Guided Compositional Image Generation for Cross-Domain Few-Shot Object Detection. - Yu Li; Xingyu Qiu; Yuqian Fu; Jie Chen; Tianwen Qian; Xu Zheng 002; Danda Pani Paudel; Yanwei Fu 001; Xuanjing Huang 001; Luc Van Gool; Yu-Gang Jiang 001 (CoRR, 2025)

Unlocking Constraints: Source-Free Occlusion-Aware Seamless Segmentation. - Yihong Cao; Jiaming Zhang 001; Xu Zheng 002; Hao Shi 004; Kunyu Peng; Hang Liu; Kailun Yang 001; Hui Zhang 023 (CoRR, 2025)

Partial CLIP is Enough: Chimera-Seg for Zero-shot Semantic Segmentation. - Jialei Chen 001; Xu Zheng 002; Danda Pani Paudel; Luc Van Gool; Hiroshi Murase; Daisuke Deguchi (CoRR, 2025)