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ORCIDMeng Wei 0006
Person information
- affiliation: China University of Mining and Technology, Xuzhou, Jiangsu, China
Other persons with the same name
- Meng Wei — disambiguation page
- Meng Wei 0001 — Tsinghua University, Institute of Microelectronics / TNList, Beijing, China
- Meng Wei 0002 — Hefei University of Technology, School of Electrical and Automation Engineering, China
- Meng Wei 0003
![[0000-0002-0743-7745]](https://devdomain4test.ir/img/orcid-mark.12x12.png "0000-0002-0743-7745")
— Chongqing University, College of Mechanical Engineering, China - Wei Meng 0005 (aka: Meng Wei 0005) — Chang'an University, Xian, China
- Meng Wei 0007 — ByteDance, Beijing, China
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2020 – today
- 2026
[c10]Kaijie Yang, Zhongnian Li, Meng Wei, Peng Ying, Xinzheng Xu:
GhostMarking: Embedding Invisible Textual Marks in VLM via Adversarial Trigger Learning. ICIC (12) 2026: 188-199- 2025
- [c9]Meng Wei, Zhongnian Li, Peng Ying, Ridong Han, Tongfeng Sun, Xinzheng Xu:
Determined Multi-Label Learning via Similarity-Based Prompt. ICME 2025: 1-6 - [c8]Meng Wei, Xinzheng Xu, Peng Ying, Renke Sun, Guanjun Wang, Zhongnian Li:
Learning from Stochastic Labels. ICME 2025: 1-6 - [c7]Zhongnian Li, Jinghao Xu, Peng Ying, Meng Wei, Xinzheng Xu:
Learning from True-False Labels via Multi-modal Prompt Retrieving. ICML 2025 - [c6]Peng Ying, Zhongnian Li, Meng Wei, Xinzheng Xu:
Reversible Privacy Preserving on Vision-Language Models via Adversarial Multimodal Key. ACM Multimedia 2025: 3380-3389 - [c5]Meng Wei, Zhongnian Li, Peng Ying, Xinzheng Xu:
Seeing the Undefined: Chain-of-Action for Generative Semantic Labels. ACM Multimedia 2025: 3702-3711 - [c4]Zhongnian Li, Meng Wei, Peng Ying, Xinzheng Xu:
ESA: Example Sieve Approach for Multi-Positive and Unlabeled Learning. WSDM 2025: 439-447 - [i9]Meng Wei, Zhongnian Li, Peng Ying, Xinzheng Xu:
Learning from Uncertain Similarity and Unlabeled Data. CoRR abs/2509.11984 (2025) - 2024
- [c3]Meng Wei, Zhongnian Li, Yong Zhou, Xinzheng Xu:
Learning from Reduced Labels for Long-Tailed Data. ICMR 2024: 111-119 - [c2]Zhongnian Li, Peng Ying, Meng Wei, Tongfeng Sun, Xinzheng Xu:
Prompt Expending for Single Positive Multi-Label Learning with Global Unannotated Categories. ICMR 2024: 561-569 - [c1]Zhongnian Li, Meng Wei, Peng Ying, Tongfeng Sun, Xinzheng Xu:
Learning from Concealed Labels. ACM Multimedia 2024: 7220-7228 - [i8]Meng Wei, Zhongnian Li, Yong Zhou, Xinzheng Xu:
Learning from Reduced Labels for Long-Tailed Data. CoRR abs/2403.16469 (2024) - [i7]Meng Wei, Zhongnian Li, Peng Ying, Yong Zhou, Xinzheng Xu:
Determined Multi-Label Learning via Similarity-Based Prompt. CoRR abs/2403.16482 (2024) - [i6]Zhongnian Li, Jinghao Xu, Peng Ying, Meng Wei, Tongfeng Sun, Xinzheng Xu:
Learning from True-False Labels via Multi-modal Prompt Retrieving. CoRR abs/2405.15228 (2024) - [i5]Meng Wei, Zhongnian Li, Peng Ying, Xinzheng Xu:
CoA: Chain-of-Action for Generative Semantic Labels. CoRR abs/2411.17406 (2024) - [i4]Zhongnian Li, Meng Wei, Peng Ying, Tongfeng Sun, Xinzheng Xu:
Learning from Concealed Labels. CoRR abs/2412.02230 (2024) - [i3]Zhongnian Li, Meng Wei, Peng Ying, Xinzheng Xu:
ESA: Example Sieve Approach for Multi-Positive and Unlabeled Learning. CoRR abs/2412.02240 (2024) - 2023
- [j1]Meng Wei, Yong Zhou, Zhongnian Li, Xinzheng Xu:
Class-imbalanced complementary-label learning via weighted loss. Neural Networks 166: 555-565 (2023) - [i2]Meng Wei, Zhongnian Li, Yong Zhou, Qiaoyu Guo, Xinzheng Xu:
Learning from Stochastic Labels. CoRR abs/2302.00299 (2023) - 2022
- [i1]Meng Wei, Yong Zhou, Zhongnian Li, Xinzheng Xu:
Class-Imbalanced Complementary-Label Learning via Weighted Loss. CoRR abs/2209.14189 (2022)
Coauthor Index
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