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Lin Zhang 0001
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Publications
- 2022
- [c106]Mingyang Li, Shao-Lun Huang, Lin Zhang:
A General Framework For Incomplete Cross-Modal Retrieval With Missing Labels And Missing Modalities. ICASSP 2022: 4763-4767 - [i7]Yajie Bao, Yang Li, Shao-Lun Huang, Lin Zhang, Lizhong Zheng, Amir Zamir, Leonidas J. Guibas:
An Information-Theoretic Approach to Transferability in Task Transfer Learning. CoRR abs/2212.10082 (2022) - 2021
- [c102]Mingyang Li, Shao-Lun Huang, Lin Zhang:
OTCMR: Bridging Heterogeneity Gap with Optimal Transport for Cross-modal Retrieval. CIKM 2021: 3216-3220 - [c100]Wangbin Sun, Fei Ma, Yang Li, Shao-Lun Huang, Shiguang Ni, Lin Zhang:
Semi-Supervised Multimodal Image Translation for Missing Modality Imputation. ICASSP 2021: 4320-4324 - [c99]Fei Ma, Shao-Lun Huang, Lin Zhang:
An Efficient Approach for Audio-Visual Emotion Recognition With Missing Labels And Missing Modalities. ICME 2021: 1-6 - [c98]Mingyang Li, Xiangxiang Xu, Shao-Lun Huang, Lin Zhang:
Dual Feature Distributional Regularization for Defending Against Adversarial Attacks. ICONIP (6) 2021: 377-386 - [i6]Fei Ma, Xiangxiang Xu, Shao-Lun Huang, Lin Zhang:
Maximum Likelihood Estimation for Multimodal Learning with Missing Modality. CoRR abs/2108.10513 (2021) - 2020
- [j28]Jing Lian, Yang Li, Weixi Gu, Shao-Lun Huang, Lin Zhang:
Mining Regional Mobility Patterns for Urban Dynamic Analytics. Mob. Networks Appl. 25(2): 459-473 (2020) - [c95]Mingyang Li, Yang Li, Shao-Lun Huang, Lin Zhang:
Semantically Supervised Maximal Correlation For Cross-Modal Retrieval. ICIP 2020: 2291-2295 - [c93]Feng Zhao, Xingzhi Niu, Shao-Lun Huang, Lin Zhang:
Reproducing Scientific Experiment with Cloud DevOps. SERVICES 2020: 259-264 - 2019
- [c92]Lichen Wang, Jiaxiang Wu, Shao-Lun Huang, Lizhong Zheng, Xiangxiang Xu, Lin Zhang, Junzhou Huang:
An Efficient Approach to Informative Feature Extraction from Multimodal Data. AAAI 2019: 5281-5288 - [c84]Yajie Bao, Yang Li, Shao-Lun Huang, Lin Zhang, Lizhong Zheng, Amir Zamir, Leonidas J. Guibas:
An Information-Theoretic Approach to Transferability in Task Transfer Learning. ICIP 2019: 2309-2313 - [c83]Lu Li, Yang Li, Xiangxiang Xu, Shao-Lun Huang, Lin Zhang:
Maximal Correlation Embedding Network for Multilabel Learning with Missing Labels. ICME 2019: 393-398 - [c82]Fei Ma, Wei Zhang, Yang Li, Shao-Lun Huang, Lin Zhang:
An End-to-End Learning Approach for Multimodal Emotion Recognition: Extracting Common and Private Information. ICME 2019: 1144-1149 - [c81]Feng Zhao, Fei Ma, Yang Li, Shao-Lun Huang, Lin Zhang:
Info-Detection: An Information-Theoretic Approach to Detect Outlier. ICONIP (5) 2019: 489-496 - [c79]Hanling Wang, Mingyang Li, Fei Ma, Shao-Lun Huang, Lin Zhang:
Unsupervised anomaly detection via generative adversarial networks: poster abstract. IPSN 2019: 313-314 - [c78]Jing Lian, Yang Li, Shao-Lun Huang, Lin Zhang:
Mining Mobility Patterns with Trip-Based Traffic Analysis Zones: A Deep Feature Embedding Approach. ITSC 2019: 1650-1657 - [c75]Mingyang Li, Hanling Wang, Yue Zhang, Shao-Lun Huang, Lin Zhang:
Anomaly detection in surface mount technology process using multi-modal data: poster abstract. SenSys 2019: 412-413 - [i5]Feng Zhao, Xingzhi Niu, Shao-Lun Huang, Lin Zhang:
Reproducing Scientific Experiment with Cloud DevOps. CoRR abs/1910.13397 (2019) - 2018
- [j24]Shang Zhang, Yuhan Dong, Hongyan Fu, Shao-Lun Huang, Lin Zhang:
A Spectral Reconstruction Algorithm of Miniature Spectrometer Based on Sparse Optimization and Dictionary Learning. Sensors 18(2): 644 (2018) - [c69]Xiangxiang Xu, Shao-Lun Huang, Lizhong Zheng, Lin Zhang:
The Geometric Structure of Generalized Softmax Learning. ITW 2018: 1-5 - [c68]Jing Lian, Yang Li, Weixi Gu, Shao-Lun Huang, Lin Zhang:
Joint Mobility Pattern Mining with Urban Region Partitions. MobiQuitous 2018: 362-371 - [c63]Fei Ma, Weixi Gu, Wei Zhang, Shiguang Ni, Shao-Lun Huang, Lin Zhang:
Speech Emotion Recognition via Attention-based DNN from Multi-Task Learning. SenSys 2018: 363-364 - [c62]Wei Zhang, Weixi Gu, Fei Ma, Shiguang Ni, Lin Zhang, Shao-Lun Huang:
Multimodal Emotion Recognition by extracting common and modality-specific information. SenSys 2018: 396-397 - [c60]Qianjin Du, Weixi Gu, Lin Zhang, Shao-Lun Huang:
Attention-based LSTM-CNNs For Time-series Classification. SenSys 2018: 410-411 - [i4]Lichen Wang, Jiaxiang Wu, Shao-Lun Huang, Lizhong Zheng, Xiangxiang Xu, Lin Zhang, Junzhou Huang:
An Efficient Approach to Informative Feature Extraction from Multimodal Data. CoRR abs/1811.08979 (2018) - 2017
- [c56]Liandong Zhou, Shao-Lun Huang, Lin Zhang:
Zoning by mobility: evaluating city administrative regions by taxi data: poster abstract. IPSN 2017: 289-290 - [c55]Wangjing Cao, Xin Lin, Kai Zhang, Yuhan Dong, Shao-Lun Huang, Lin Zhang:
Analysis and evaluation of driving behavior recognition based on a 3-axis accelerometer using a random forest approach: poster abstract. IPSN 2017: 303-304 - [c52]Shao-Lun Huang, Lin Zhang, Lizhong Zheng:
An information-theoretic approach to unsupervised feature selection for high-dimensional data. ITW 2017: 434-438
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