Mingyang Li
thulimy AT 163.com
I am a Ph.D. student in Tsinghua-Berkeley Shenzhen Institute(TBSI), Tsinghua University, advised by Prof.Shao-Lun Huang and Prof.Lin Zhang of Tsinghua University and Prof.Yi Ma of UC Berkeley.
My research interests lying on multi-modal learning, representation learning and model robustness.
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Selected Publication (* means equal contribution)
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Revisiting Sparse Convolutional Model for Visual Recognition
Xili Dai*, Mingyang Li*, Pengyuan Zhai, Peter(Shengbang) Tong, Xingjian Gao, Shao-Lun Huang, Zhihui Zhu, Chong You, Yi Ma
NeurIPS 2022
[code] [paper]
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Closed-Loop Data Transcription to an LDR via Minimaxing Rate Reduction
Xili Dai*, Peter(Shengbang) Tong*, Mingyang Li*, Ziyang Wu*, Kwan Ho Ryan Chan, Pengyuan Zhai, Yaodong Yu, Michael Psenka, Xiaojun Yuan, Heung Yeung Shum, Yi Ma
Entropy(SCI)
[code] [paper]
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A General Framework for Incomplete Cross-modal Retrieval with Missing Labels and Missing Modalities
Mingyang Li, Shao-Lun Huang, Lin Zhang
ICASSP 2022
[code] [paper]
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OTCMR: Bridging Heterogeneity Gap with Optimal Transport for Cross-modal Retrieval
Mingyang Li, Shao-Lun Huang, Lin Zhang
CIKM 2021
[code] [paper]
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Semantically Supervised Maximal Correlation for Cross-modal Retrieval
Mingyang Li, Yang Li, Shao-Lun Huang, Lin Zhang
ICIP 2020
[code] [paper]
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Incremental Learning of Structured Memory via Closed-Loop Transcription
Peter(Shengbang) Tong, Xili Dai, Ziyang Wu, Mingyang Li, Brent Yi, Yi Ma
Arxiv
[code] [paper]
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