Possible advisorsa guess from early papers, not confirmed

• Liqiang Nie

  Possible advisor · last author on 3 of their early first-author papers, 2019–2022

  Suggested from co-authorship

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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 International Conference on Multimedia (ACM MM) · 2019

  This work proposes a pose-guided virtual try-on scheme based on the generative adversarial networks (GANs) with a bi-stage strategy, which jointly models the attentive clothing-person alignment and bidirectional generation consistency.

  75
• Egocentric Early Action Prediction via Adversarial Knowledge Distillation

  Na Zheng, Xuemeng Song, Tianyu Su, Weifeng Liu, Yan Yan, Liqiang Nie

  ACM Transactions on Multimedia Computing Communications and Applications · 2022

  This article proposes a novel multi-modal adversarial knowledge distillation framework that seamlessly integrate adversarial learning with latent and discriminative knowledge regularizations encouraging the learned representations of the partial video to be more informative and discrim inative toward the action prediction.

  42
• Collocation and Try-on Network

  Na Zheng, Xuemeng Song, Qingying Niu, Xue Dong, Yibing Zhan, Liqiang Nie

  ACM International Conference on Multimedia (ACM MM) · 2021

  A Collocation and Try-On Network (CTO-Net) for FCM is proposed, combining both the collocation and try-on compatibilities, and it is demonstrated that the proposed CTO-Net significantly outperforms the state-of-the-art methods.

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• Complementary Factorization towards Outfit Compatibility Modeling

  Tianyu Su, Xuemeng Song, Na Zheng, Weili Guan, Yan Li, Liqiang Nie

  ACM International Conference on Multimedia (ACM MM) · 2021

  In this part, a new orthogonality-based complementarity regularization is proposed to encourage the learned factors to complement each other and better characterize the outfit compatibility.

  20
• Dual Preference Distribution Learning for Item Recommendation

  Xue Dong, Xuemeng Song, Na Zheng, Yinwei Wei, Zhongzhou Zhao

  ACM Transactions on Information Systems · 2022

  A dual preference distribution learning framework (DUPLE) is proposed, which aims to jointly learn a general preference distribution and a specific preference distribution for a given user, where the former corresponds to the user’s general preference to items and the latter refers to the users’ specific preference to item attributes.

  7
• 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 Transactions on Circuits and Systems for Video Technology · 2025

  5
• Language-Assisted Debiasing and Smoothing for Foundation Model-Based Semi-Supervised Learning

  Na Zheng, Xuemeng Song, Xue Dong, Ashish Kumar Ghosh, Liqiang Nie, Roger Zimmermann

  IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · 2025

  3
• Video Corpus Moment Retrieval via Decoupled Multimodal Modeling and Unified Localization

  Yi Yang, Meng Liu, Xuemeng Song, Na Zheng, Ke Lü, Weili Guan

  IEEE Transactions on Circuits and Systems for Video Technology · 2026

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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

  neural information processing systems · 2025

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