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ORCIDXu Zheng 0002
Person information
- affiliation: AI Thrust, Hong Kong University of Science and Technology (HKUST), Guangzhou, China
Other persons with the same name
- Xu Zheng — disambiguation page
- Xu Zheng 0001 — University of Electronic Science and Technology of China, Chengdu, China
- Xu Zheng 0003
![[0000-0001-8442-0691]](https://dblp.dagstuhl.de/img/orcid-mark.12x12.png "0000-0001-8442-0691")
— Florida International University, FL, USA
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Journal Articles
- 2025
[j6]Xu Zheng, Peng Yuan Zhou, Athanasios V. Vasilakos, Lin Wang:
360SFUDA++: Towards Source-Free UDA for Panoramic Segmentation by Learning Reliable Category Prototypes. IEEE Trans. Pattern Anal. Mach. Intell. 47(2): 1190-1204 (2025)- [j5]Xu Zheng, Yunhao Luo, Pengyuan Zhou, Lin Wang:
Distilling efficient Vision Transformers from CNNs for semantic segmentation. Pattern Recognit. 158: 111029 (2025) - 2024
- [j4]Jialei Chen, Daisuke Deguchi, Chenkai Zhang, Xu Zheng, Hiroshi Murase:
Frozen is better than learning: A new design of prototype-based classifier for semantic segmentation. Pattern Recognit. 152: 110431 (2024) - 2023
- [j3]Haoyu Xie, Chong Fu, Xu Zheng, Yu Zheng, Chiu-Wing Sham, Xingwei Wang:
Adversarial co-training for semantic segmentation over medical images. Comput. Biol. Medicine 157: 106736 (2023) - 2022
- [j2]Jialei Chen, Chong Fu, Haoyu Xie, Xu Zheng, Rong Geng, Chiu-Wing Sham:
Uncertainty teacher with dense focal loss for semi-supervised medical image segmentation. Comput. Biol. Medicine 149: 106034 (2022) - [j1]Xu Zheng, Chong Fu, Haoyu Xie, Jialei Chen, Xingwei Wang, Chiu-Wing Sham:
Uncertainty-aware deep co-training for semi-supervised medical image segmentation. Comput. Biol. Medicine 149: 106051 (2022)
Conference and Workshop Papers
- 2025
- [c12]Jiahao Huo, Yibo Yan, Xu Zheng, Yuanhuiyi Lyu, Xin Zou, Zhihua Wei, Xuming Hu:
MMUnlearner: Reformulating Multimodal Machine Unlearning in the Era of Multimodal Large Language Models. ACL (Findings) 2025: 7190-7206 - [c11]Yibo Yan, Jiamin Su, Jianxiang He, Fangteng Fu, Xu Zheng, Yuanhuiyi Lyu, Kun Wang, Shen Wang, Qingsong Wen, Xuming Hu:
A Survey of Mathematical Reasoning in the Era of Multimodal Large Language Model: Benchmark, Method & Challenges. ACL (Findings) 2025: 11798-11827 - [c10]Chenfei Liao, Kaiyu Lei, Xu Zheng, Junha Moon, Zhixiong Wang, Yixuan Wang, Danda Pani Paudel, Luc Van Gool, Xuming Hu:
Benchmarking Multi-modal Semantic Segmentation under Sensor Failures: Missing and Noisy Modality Robustness. CVPR Workshops 2025: 1576-1586 - 2024
- [c9]Xu Zheng, Pengyuan Zhou, Athanasios V. Vasilakos, Lin Wang:
Semantics, Distortion, and Style Matter: Towards Source-Free UDA for Panoramic Segmentation. CVPR 2024: 27885-27895 - [c8]Xu Zheng, Yuanhuiyi Lyu, Lin Wang:
Learning Modality-Agnostic Representation for Semantic Segmentation from Any Modalities. ECCV (34) 2024: 146-165 - [c7]Xu Zheng, Yuanhuiyi Lyu, Jiazhou Zhou, Lin Wang:
Centering the Value of Every Modality: Towards Efficient and Resilient Modality-Agnostic Semantic Segmentation. ECCV (69) 2024: 192-212 - [c6]Jiazhou Zhou, Xu Zheng, Yuanhuiyi Lyu, Lin Wang:
EventBind: Learning a Unified Representation to Bind Them All for Event-Based Open-World Understanding. ECCV (70) 2024: 477-494 - [c5]Jiahang Cao, Xu Zheng, Yuanhuiyi Lyu, Jiaxu Wang, Renjing Xu, Lin Wang:
Chasing Day and Night: Towards Robust and Efficient All-Day Object Detection Guided by an Event Camera. ICRA 2024: 9026-9032 - [c4]Xu Zheng, Yunhao Luo, Chong Fu, Kangcheng Liu, Lin Wang:
Transformer-CNN Cohort: Semi-supervised Semantic Segmentation by the Best of Both Students. ICRA 2024: 11147-11154 - 2023
- [c3]Xu Zheng, Jinjing Zhu, Yexin Liu, Zidong Cao, Chong Fu, Lin Wang:
Both Style and Distortion Matter: Dual-Path Unsupervised Domain Adaptation for Panoramic Semantic Segmentation. CVPR 2023: 1285-1295 - [c2]Jinjing Zhu, Yunhao Luo, Xu Zheng, Hao Wang, Lin Wang:
A Good Student is Cooperative and Reliable: CNN-Transformer Collaborative Learning for Semantic Segmentation. ICCV 2023: 11686-11696 - [c1]Xu Zheng, Tianbo Pan, Yunhao Luo, Lin Wang:
Look at the Neighbor: Distortion-aware Unsupervised Domain Adaptation for Panoramic Semantic Segmentation. ICCV 2023: 18641-18652
Informal and Other Publications
- 2025
- [i44]Yuanhuiyi Lyu, Xu Zheng, Lutao Jiang, Yibo Yan, Xin Zou, Huiyu Zhou, Linfeng Zhang, Xuming Hu:
RealRAG: Retrieval-augmented Realistic Image Generation via Self-reflective Contrastive Learning. CoRR abs/2502.00848 (2025) - [i43]Jiahao Huo, Yibo Yan, Xu Zheng, Yuanhuiyi Lyu, Xin Zou, Zhihua Wei, Xuming Hu:
MMUnlearner: Reformulating Multimodal Machine Unlearning in the Era of Multimodal Large Language Models. CoRR abs/2502.11051 (2025) - [i42]Jiayi Zhao, Fei Teng, Kai Luo, Guoqiang Zhao, Zhiyong Li, Xu Zheng, Kailun Yang:
Unveiling the Potential of Segment Anything Model 2 for RGB-Thermal Semantic Segmentation with Language Guidance. CoRR abs/2503.02581 (2025) - [i41]Chenfei Liao, Xu Zheng, Yuanhuiyi Lyu, Haiwei Xue, Yihong Cao, Jiawen Wang, Kailun Yang, Xuming Hu:
MemorySAM: Memorize Modalities and Semantics with Segment Anything Model 2 for Multi-modal Semantic Segmentation. CoRR abs/2503.06700 (2025) - [i40]Ding Zhong, Xu Zheng, Chenfei Liao, Yuanhuiyi Lyu, Jialei Chen, Shengyang Wu, Linfeng Zhang, Xuming Hu:
OmniSAM: Omnidirectional Segment Anything Model for UDA in Panoramic Semantic Segmentation. CoRR abs/2503.07098 (2025) - [i39]Xu Zheng, Ziqiao Weng, Yuanhuiyi Lyu, Lutao Jiang, Haiwei Xue, Bin Ren, Danda Pani Paudel, Nicu Sebe, Luc Van Gool, Xuming Hu:
Retrieval Augmented Generation and Understanding in Vision: A Survey and New Outlook. CoRR abs/2503.18016 (2025) - [i38]Chenfei Liao, Kaiyu Lei, Xu Zheng, Junha Moon, Zhixiong Wang, Yixuan Wang, Danda Pani Paudel, Luc Van Gool, Xuming Hu:
Benchmarking Multi-modal Semantic Segmentation under Sensor Failures: Missing and Noisy Modality Robustness. CoRR abs/2503.18445 (2025) - [i37]Jialei Chen, Xu Zheng, Dongyue Li, Chong Yi, Seigo Ito, Danda Pani Paudel, Luc Van Gool, Hiroshi Murase, Daisuke Deguchi:
Split Matching for Inductive Zero-shot Semantic Segmentation. CoRR abs/2505.05023 (2025) - [i36]Xu Zheng, Yuanhuiyi Lyu, Lutao Jiang, Danda Pani Paudel, Luc Van Gool, Xuming Hu:
Reducing Unimodal Bias in Multi-Modal Semantic Segmentation with Multi-Scale Functional Entropy Regularization. CoRR abs/2505.06635 (2025) - [i35]Chih-Ting Liao, Bin Ren, Guofeng Mei, Xu Zheng:
Adversarial Robustness for Unified Multi-Modal Encoders via Efficient Calibration. CoRR abs/2505.11895 (2025) - [i34]Zihao Dongfang, Xu Zheng, Ziqiao Weng, Yuanhuiyi Lyu, Danda Pani Paudel, Luc Van Gool, Kailun Yang, Xuming Hu:
Are Multimodal Large Language Models Ready for Omnidirectional Spatial Reasoning? CoRR abs/2505.11907 (2025) - [i33]Xu Zheng, Chenfei Liao, Yuqian Fu, Kaiyu Lei, Yuanhuiyi Lyu, Lutao Jiang, Bin Ren, Jialei Chen, Jiawen Wang, Chengxin Li, Linfeng Zhang, Danda Pani Paudel, Xuanjing Huang, Yu-Gang Jiang, Nicu Sebe, Dacheng Tao, Luc Van Gool, Xuming Hu:
MLLMs are Deeply Affected by Modality Bias. CoRR abs/2505.18657 (2025) - [i32]Bin Ren, Yawei Li, Xu Zheng, Yuqian Fu, Danda Pani Paudel, Ming-Hsuan Yang, Luc Van Gool, Nicu Sebe:
Manifold-aware Representation Learning for Degradation-agnostic Image Restoration. CoRR abs/2505.18679 (2025) - [i31]Guofeng Mei, Bin Ren, Juan Liu, Luigi Riz, Xiaoshui Huang, Xu Zheng, Yongshun Gong, Ming-Hsuan Yang, Nicu Sebe, Fabio Poiesi:
Self-Supervised and Generalizable Tokenization for CLIP-Based 3D Understanding. CoRR abs/2505.18819 (2025) - [i30]Xuyang Liu, Zichen Wen, Shaobo Wang, Junjie Chen, Zhishan Tao, Yubo Wang, Xiangqi Jin, Chang Zou, Yiyu Wang, Chenfei Liao, Xu Zheng, Honggang Chen, Weijia Li, Xuming Hu, Conghui He, Linfeng Zhang:
Shifting AI Efficiency From Model-Centric to Data-Centric Compression. CoRR abs/2505.19147 (2025) - [i29]Jialei Chen, Xu Zheng, Danda Pani Paudel, Luc Van Gool, Hiroshi Murase, Daisuke Deguchi:
BiXFormer: A Robust Framework for Maximizing Modality Effectiveness in Multi-Modal Semantic Segmentation. CoRR abs/2506.03675 (2025) - [i28]Yu Li, Xingyu Qiu, Yuqian Fu, Jie Chen, Tianwen Qian, Xu Zheng, Danda Pani Paudel, Yanwei Fu, Xuanjing Huang, Luc Van Gool, Yu-Gang Jiang:
Domain-RAG: Retrieval-Guided Compositional Image Generation for Cross-Domain Few-Shot Object Detection. CoRR abs/2506.05872 (2025) - [i27]Yihong Cao, Jiaming Zhang, Xu Zheng, Hao Shi, Kunyu Peng, Hang Liu, Kailun Yang, Hui Zhang:
Unlocking Constraints: Source-Free Occlusion-Aware Seamless Segmentation. CoRR abs/2506.21198 (2025) - [i26]Jialei Chen, Xu Zheng, Danda Pani Paudel, Luc Van Gool, Hiroshi Murase, Daisuke Deguchi:
Partial CLIP is Enough: Chimera-Seg for Zero-shot Semantic Segmentation. CoRR abs/2506.22032 (2025) - 2024
- [i25]Yuanhuiyi Lyu, Xu Zheng, Lin Wang:
Image Anything: Towards Reasoning-coherent and Training-free Multi-modal Image Generation. CoRR abs/2401.17664 (2024) - [i24]Xu Zheng, Pengyuan Zhou, Athanasios V. Vasilakos, Lin Wang:
Semantics, Distortion, and Style Matter: Towards Source-free UDA for Panoramic Segmentation. CoRR abs/2403.12505 (2024) - [i23]Yuanhuiyi Lyu, Xu Zheng, Jiazhou Zhou, Lin Wang:
UniBind: LLM-Augmented Unified and Balanced Representation Space to Bind Them All. CoRR abs/2403.12532 (2024) - [i22]Jiazhou Zhou, Xu Zheng, Yuanhuiyi Lyu, Lin Wang:
ExACT: Language-guided Conceptual Reasoning and Uncertainty Estimation for Event-based Action Recognition and More. CoRR abs/2403.12534 (2024) - [i21]Xu Zheng, Lin Wang:
EventDance: Unsupervised Source-free Cross-modal Adaptation for Event-based Object Recognition. CoRR abs/2403.14082 (2024) - [i20]Weiming Zhang, Yexin Liu, Xu Zheng, Lin Wang:
GoodSAM: Bridging Domain and Capacity Gaps via Segment Anything Model for Distortion-aware Panoramic Semantic Segmentation. CoRR abs/2403.16370 (2024) - [i19]Xu Zheng, Pengyuan Zhou, Athanasios V. Vasilakos, Lin Wang:
360SFUDA++: Towards Source-free UDA for Panoramic Segmentation by Learning Reliable Category Prototypes. CoRR abs/2404.16501 (2024) - [i18]Yuanhuiyi Lyu, Xu Zheng, Dahun Kim, Lin Wang:
OmniBind: Teach to Build Unequal-Scale Modality Interaction for Omni-Bind of All. CoRR abs/2405.16108 (2024) - [i17]Xu Zheng, Ling Wang, Kanghao Chen, Yuanhuiyi Lyu, Jiazhou Zhou, Lin Wang:
EIT-1M: One Million EEG-Image-Text Pairs for Human Visual-textual Recognition and More. CoRR abs/2407.01884 (2024) - [i16]Xu Zheng, Yuanhuiyi Lyu, Jiazhou Zhou, Lin Wang:
Centering the Value of Every Modality: Towards Efficient and Resilient Modality-agnostic Semantic Segmentation. CoRR abs/2407.11344 (2024) - [i15]Xu Zheng, Yuanhuiyi Lyu, Lin Wang:
Learning Modality-agnostic Representation for Semantic Segmentation from Any Modalities. CoRR abs/2407.11351 (2024) - [i14]Xu Zheng, Haiwei Xue, Jialei Chen, Yibo Yan, Lutao Jiang, Yuanhuiyi Lyu, Kailun Yang, Linfeng Zhang, Xuming Hu:
Learning Robust Anymodal Segmentor with Unimodal and Cross-modal Distillation. CoRR abs/2411.17141 (2024) - [i13]Yibo Yan, Jiamin Su, Jianxiang He, Fangteng Fu, Xu Zheng, Yuanhuiyi Lyu, Kun Wang, Shen Wang, Qingsong Wen, Xuming Hu:
A Survey of Mathematical Reasoning in the Era of Multimodal Large Language Model: Benchmark, Method & Challenges. CoRR abs/2412.11936 (2024) - [i12]Xu Zheng, Yuanhuiyi Lyu, Lutao Jiang, Jiazhou Zhou, Lin Wang, Xuming Hu:
MAGIC++: Efficient and Resilient Modality-Agnostic Semantic Segmentation via Hierarchical Modality Selection. CoRR abs/2412.16876 (2024) - 2023
- [i11]Xu Zheng, Yexin Liu, Yunfan Lu, Tongyan Hua, Tianbo Pan, Weiming Zhang, Dacheng Tao, Lin Wang:
Deep Learning for Event-based Vision: A Comprehensive Survey and Benchmarks. CoRR abs/2302.08890 (2023) - [i10]Xu Zheng, Jinjing Zhu, Yexin Liu, Zidong Cao, Chong Fu, Lin Wang:
Both Style and Distortion Matter: Dual-Path Unsupervised Domain Adaptation for Panoramic Semantic Segmentation. CoRR abs/2303.14360 (2023) - [i9]Jinjing Zhu, Yunhao Luo, Xu Zheng, Hao Wang, Lin Wang:
A Good Student is Cooperative and Reliable: CNN-Transformer Collaborative Learning for Semantic Segmentation. CoRR abs/2307.12574 (2023) - [i8]Jiazhou Zhou, Xu Zheng, Yuanhuiyi Lyu, Lin Wang:
E-CLIP: Towards Label-efficient Event-based Open-world Understanding by CLIP. CoRR abs/2308.03135 (2023) - [i7]Xu Zheng, Tianbo Pan, Yunhao Luo, Lin Wang:
Look at the Neighbor: Distortion-aware Unsupervised Domain Adaptation for Panoramic Semantic Segmentation. CoRR abs/2308.05493 (2023) - [i6]Jiahang Cao, Xu Zheng, Yuanhuiyi Lyu, Jiaxu Wang, Renjing Xu, Lin Wang:
Chasing Day and Night: Towards Robust and Efficient All-Day Object Detection Guided by an Event Camera. CoRR abs/2309.09297 (2023) - [i5]Jialei Chen, Daisuke Deguchi, Chenkai Zhang, Xu Zheng, Hiroshi Murase:
CLIP Is Also a Good Teacher: A New Learning Framework for Inductive Zero-shot Semantic Segmentation. CoRR abs/2310.02296 (2023) - [i4]Xu Zheng, Yunhao Luo, Pengyuan Zhou, Lin Wang:
Distilling Efficient Vision Transformers from CNNs for Semantic Segmentation. CoRR abs/2310.07265 (2023) - 2022
- [i3]Yunfan Lu, Yiqi Lin, Hao Wu, Yunhao Luo, Xu Zheng, Lin Wang:
All One Needs to Know about Priors for Deep Image Restoration and Enhancement: A Survey. CoRR abs/2206.02070 (2022) - [i2]Xu Zheng, Yunhao Luo, Hao Wang, Chong Fu, Lin Wang:
Transformer-CNN Cohort: Semi-supervised Semantic Segmentation by the Best of Both Students. CoRR abs/2209.02178 (2022) - 2021
- [i1]Xu Zheng, Chong Fu, Haoyu Xie, Jialei Chen, Xingwei Wang, Chiu-Wing Sham:
Uncertainty-Aware Deep Co-training for Semi-supervised Medical Image Segmentation. CoRR abs/2111.11629 (2021)
Coauthor Index
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