About Me
Na Zheng is a Research Fellow in the School of Computing, National University of Singapore (2022–present),
under the supervision of Prof. Roger Zimmermann.
She received her Ph.D. degree (2018–2022) from the Department of Computer Science and Technology at Shandong University,
under the supervision of Prof. Liqiang Nie and
Prof. Xuemeng Song.
She was a Visiting Scholar of Computer Science at Texas State University (2019–2020),
under the supervision by Prof. Yan Yan.
She obtained her M.S. degree (2015–2018) in Computer Science from Central South University. Her research interests are in multimedia computing and computer vision.
News
2025.09: One co-author paper accepted by NeurIPS 2025.
2025.06: One first-author paper accepted by IEEE TCSVT 2025.
2025.02: One first-author paper accepted by CVPR 2025.
Publications
Preprints
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Modality Reliability Guided Multimodal Recommendation
Xue Dong, Xuemeng Song, Na Zheng, Sicheng Zhao, Guiguang Ding.
ArXiv preprint. [PDF]
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TTOM: Test-Time Optimization and Memorization for Compositional Video Generation
Leigang Qu, Ziyang Wang, Na Zheng, Wenjie Wang, Liqiang Nie, Tat-Seng Chua.
ArXiv preprint. [PDF]
2025
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Mitigating Hallucination Through Theory-Consistent Symmetric Multimodal Preference Optimization
Wenqi Liu, Xuemeng Song, Jiaxi Li, Yinwei Wei, Na Zheng, Jianhua Yin, Liqiang Nie.
NeurIPS 2025. [PDF]
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Language-Assisted Debiasing and Smoothing for Foundation Model-Based Semi-Supervised Learning
Na Zheng, Xuemeng Song, Xue Dong, Aashish Nikhil Ghosh, Liqiang Nie, Roger Zimmermann.
CVPR 2025. [PDF]
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Unsupervised Few-shot Food Recognition with Intra-Class Variation and Inter-Class Similarity Modeling
Na Zheng, Xuemeng Song, Wai Teng Tang, See-Kiong Ng, Liqiang Nie, Roger Zimmermann.
IEEE TCSVT 2025. [PDF]
2024
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VK-G2T: Vision and Context Knowledge Enhanced Gloss2text
Liqiang Jing, Xuemeng Song, Xinxing Zu, Na Zheng, Zhongzhou Zhao, Liqiang Nie.
ICASSP 2024. [PDF]
2023
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Egocentric Early Action Prediction via Adversarial Knowledge Distillation
Na Zheng, Xuemeng Song, Tianyu Su, Weifeng Liu, Yan Yan, Liqiang Nie.
ACM TOMM, 2023.
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Dual Preference Distribution Learning for Item Recommendation
Xue Dong, Xuemeng Song, Na Zheng, Yinwei Wei, Zhongzhou Zhao.
ACM TOIS, 2023.
2022
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TryonCM2: Try-on-enhanced Fashion Compatibility Modeling Framework
Xue Dong, Xuemeng Song, Na Zheng, Jianlong Wu, Hongjun Dai, Liqiang Nie.
IEEE TNNLS, 2022.
2021
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Collocation and Try-On: Whether an Outfit is Compatible
Na Zheng, Xuemeng Song, Qingying Niu, Xue Dong, Yibing Zhan, Liqiang Nie.
ACM MM, 2021, Oral (8.8%).
[PDF]
[Code]
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Complementary Factorization Towards Outfit Compatibility Modeling
Tianyu Su, Xuemeng Song, Na Zheng, Weili Guan, Yan Li, Liqiang Nie.
ACM MM, 2021.
[PDF]
[Code]
2019
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Virtually Trying on New Clothing with Arbitrary Poses
Na Zheng, Xuemeng Song, Zhaozheng Chen, Linmei Hu, Da Cao, Liqiang Nie.
ACM MM, 2019, Oral (8.5%).
[PDF]
[Code]
Academic Services
Conference Reviewer
- ACM MM
- WWW
- ICML
- WSDM
- ICMR
- PRCV
- MMM
- Chian MM
- ACM MM Asia
Journal Reviewer
- IEEE TIP
- IEEE TKDE
- IEEE TMM
- IEEE TCSVT
- ACM TOIS
- ACM ToMM
- Information Sciences