Publications
Hallucination Reduction in LVLMs via Emphasizing Image-negative Tokens during Training [Under Review]— Meng Shen, Chengru Song, Minghao Wu, Xinming Hou, Deepu Rajan
Enhancing Modality Representation and Alignment for Multimodal Cold-start Active Learning [ACMMM Asia 2024]— Meng Shen, Yake Wei, Jianxiong Yin, Deepu Rajan, Di Hu, Simon See
Cross-modality and Within-modality Regularization for Auido-visual Deepfake Detection [ICASSP 2024]— Heqing Zou, Meng Shen, Yuchen Hu, Chen Chen, Eng Siong Chng, Deepu Rajan
Towards Balanced Active Learning for Multimodal Classification [ACMMM 2023]— Meng Shen, Yizheng Huang, Jianxiong Yin, Heqing Zou, Deepu Rajan, Simon See
UniS-MMC: Learning Unimodality-supervised Multimodal Contrastive Representations [ACL Findings 2023]— Heqing Zou, Meng Shen, Chen Chen, Yuchen Hu, Deepu Rajan, Eng Siong Chng
A Serverless Cloud-fog Platform for Dnn-based Video Analytics with Incremental Learning [Arxiv 2021]— Huaizheng Zhang, Meng Shen, Yizheng Huang, Yonggang Wen, Yong Luo, Guanyu Gao, Kyle Guan
Missing Data Imputation for Solar Yield Prediction using Temporal Multi-Modal Variational Auto-Encoder [ACMMM 2021]— Meng Shen, Huaizheng Zhang, Yixin Cao, Fan Yang, Yonggang Wen