Lichen Wang

According to our database, Lichen Wang authored at least 46 papers between 2005 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

iBARLE: imBalance-Aware Room Layout Estimation.

Taotao Jing, Lichen Wang, Naji Khosravan, Zhiqiang Wan, Zachary Bessinger, Zhengming Ding, Sing Bing Kang

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024

ZInD-Tell: Towards Translating Indoor Panoramas into Descriptions.

Tonmoay Deb, Lichen Wang, Zachary Bessinger, Naji Khosravan, Eric Penner, Sing Bing Kang

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023

Generative Multi-Label Correlation Learning.

Lichen Wang, Zhengming Ding, Kasey Lee, Seungju Han, Jae-Joon Han, Changkyu Choi, Yun Fu

ACM Trans. Knowl. Discov. Data, February, 2023

Human Motion Segmentation via Velocity-Sensitive Dual-Side Auto-Encoder.

Yue Bai, Lichen Wang, Yunyu Liu, Yu Yin, Hang Di, Yun Fu

IEEE Trans. Image Process., 2023

Rethinking Neighborhood Consistency Learning on Unsupervised Domain Adaptation.

Chang Liu, Lichen Wang, Yun Fu

Proceedings of the 31st ACM International Conference on Multimedia, 2023

2022

Generic Multi-label Annotation via Adaptive Graph and Marginalized Augmentation.

Lichen Wang, Zhengming Ding, Yun Fu

ACM Trans. Knowl. Discov. Data, 2022

Semi-Supervised Domain Adaptive Structure Learning.

Can Qin, Lichen Wang, Qianqian Ma, Yu Yin, Huan Wang, Yun Fu

IEEE Trans. Image Process., 2022

Collaborative Attention Mechanism for Multi-Modal Time Series Classification.

Yue Bai, Zhiqiang Tao, Lichen Wang, Sheng Li, Yu Yin, Yun Fu

Proceedings of the 2022 SIAM International Conference on Data Mining, 2022

Meta Adversarial Weight for Unsupervised Domain Adaptation.

Chang Liu, Lichen Wang, Yun Fu

Proceedings of the 2022 SIAM International Conference on Data Mining, 2022

MemREIN: Rein the Domain Shift for Cross-Domain Few-Shot Learning.

Yi Xu, Lichen Wang, Yizhou Wang, Can Qin, Yulun Zhang, Yun Fu

Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

Adaptive Trajectory Prediction via Transferable GNN.

Yi Xu, Lichen Wang, Yizhou Wang, Yun Fu

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021

Semi-Supervised Dual Relation Learning for Multi-Label Classification.

Lichen Wang, Yunyu Liu, Hang Di, Can Qin, Gan Sun, Yun Fu

IEEE Trans. Image Process., 2021

Sign Language Recognition via Skeleton-Aware Multi-Model Ensemble.

Songyao Jiang, Bin Sun, Lichen Wang, Yue Bai, Kunpeng Li, Yun Fu

CoRR, 2021

Contradictory Structure Learning for Semi-supervised Domain Adaptation.

Can Qin, Lichen Wang, Qianqian Ma, Yu Yin, Huan Wang, Yun Fu

Proceedings of the 2021 SIAM International Conference on Data Mining, 2021

Slow Learning and Fast Inference: Efficient Graph Similarity Computation via Knowledge Distillation.

Can Qin, Handong Zhao, Lichen Wang, Huan Wang, Yulun Zhang, Yun Fu

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Domain Generalization via Feature Variation Decorrelation.

Chang Liu, Lichen Wang, Kai Li, Yun Fu

Proceedings of the MM '21: ACM Multimedia Conference, Virtual Event, China, October 20, 2021

Aspect-based Sentiment Classification via Reinforcement Learning.

Lichen Wang, Bo Zong, Yunyu Liu, Can Qin, Wei Cheng, Wenchao Yu, Xuchao Zhang, Haifeng Chen, Yun Fu

Proceedings of the IEEE International Conference on Data Mining, 2021

Skeleton Aware Multi-Modal Sign Language Recognition.

Songyao Jiang, Bin Sun, Lichen Wang, Yue Bai, Kunpeng Li, Yun Fu

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2021

I3DOL: Incremental 3D Object Learning without Catastrophic Forgetting.

Jiahua Dong, Yang Cong, Gan Sun, Bingtao Ma, Lichen Wang

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

Correlative Channel-Aware Fusion for Multi-View Time Series Classification.

Yue Bai, Lichen Wang, Zhiqiang Tao, Sheng Li, Yun Fu

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

Collaborative Attention Mechanism for Multi-View Action Recognition.

Yue Bai, Zhiqiang Tao, Lichen Wang, Sheng Li, Yu Yin, Yun Fu

CoRR, 2020

Opposite Structure Learning for Semi-supervised Domain Adaptation.

Can Qin, Lichen Wang, Qianqian Ma, Yu Yin, Huan Wang, Yun Fu

CoRR, 2020

On Efficient Monitoring of Weibull Lifetimes Using Censored Median Hybrid DEWMA Chart.

Syed Muhammad Muslim Raza, Sajid Ali, Ismail Shah, Lichen Wang, Zhen Yue

Complex., 2020

On the Effect of Estimation Error for the Risk-Adjusted Charts.

Sajid Ali, Naila Altaf, Ismail Shah, Lichen Wang, Syed Muhammad Muslim Raza

Complex., 2020

Forecasting One-Day-Ahead Electricity Prices for Italian Electricity Market Using Parametric and Nonparametric Approaches.

Ismail Shah, Hajra Bibi, Sajid Ali, Lichen Wang, Zhen Yue

IEEE Access, 2020

Cumulative Conforming Control Chart Assuming Discrete Weibull Distribution.

Sajid Ali, Tanzila Zafar, Ismail Shah, Lichen Wang

IEEE Access, 2020

A Comparison of Shewhart-Type Time-Between-Events Control Charts Based on the Renewal Process.

Sajid Ali, Ismail Shah, Lichen Wang, Zhen Yue

IEEE Access, 2020

Inductive and Unsupervised Representation Learning on Graph Structured Objects.

Lichen Wang, Bo Zong, Qianqian Ma, Wei Cheng, Jingchao Ni, Wenchao Yu, Yanchi Liu, Dongjin Song, Haifeng Chen, Yun Fu

Proceedings of the 8th International Conference on Learning Representations, 2020

Dual-Side Auto-Encoder for High-Dimensional Time Series Segmentation.

Yue Bai, Lichen Wang, Yunyu Liu, Yu Yin, Yun Fu

Proceedings of the 20th IEEE International Conference on Data Mining, 2020

EV-Action: Electromyography-Vision Multi-Modal Action Dataset.

Lichen Wang, Bin Sun, Joseph P. Robinson, Taotao Jing, Yun Fu

Proceedings of the 15th IEEE International Conference on Automatic Face and Gesture Recognition, 2020

Generative View-Correlation Adaptation for Semi-supervised Multi-view Learning.

Yunyu Liu, Lichen Wang, Yue Bai, Can Qin, Zhengming Ding, Yun Fu

Proceedings of the Computer Vision - ECCV 2020, 2020

Dual Relation Semi-Supervised Multi-Label Learning.

Lichen Wang, Yunyu Liu, Can Qin, Gan Sun, Yun Fu

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

Low-Rank Transfer Human Motion Segmentation.

Lichen Wang, Zhengming Ding, Yun Fu

IEEE Trans. Image Process., 2019

Multi-View Time Series Classification via Global-Local Correlative Channel-Aware Fusion Mechanism.

Yue Bai, Lichen Wang, Zhiqiang Tao, Sheng Li, Yun Fu

CoRR, 2019

PointDAN: A Multi-Scale 3D Domain Adaption Network for Point Cloud Representation.

Can Qin, Haoxuan You, Lichen Wang, C.-C. Jay Kuo, Yun Fu

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Generative Correlation Discovery Network for Multi-label Learning.

Lichen Wang, Zhengming Ding, Seungju Han, Jae-Joon Han, Changkyu Choi, Yun Fu

Proceedings of the 2019 IEEE International Conference on Data Mining, 2019

Online Multi-Task Clustering for Human Motion Segmentation.

Gan Sun, Yang Cong, Lichen Wang, Zhengming Ding, Yun Fu

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision Workshops, 2019

Generatively Inferential Co-Training for Unsupervised Domain Adaptation.

Can Qin, Lichen Wang, Yulun Zhang, Yun Fu

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision Workshops, 2019

Generative Multi-View Human Action Recognition.

Lichen Wang, Zhengming Ding, Zhiqiang Tao, Yunyu Liu, Yun Fu

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

Job2Vec: Job Title Benchmarking with Collective Multi-View Representation Learning.

Denghui Zhang, Junming Liu, Hengshu Zhu, Yanchi Liu, Lichen Wang, Pengyang Wang, Hui Xiong

Proceedings of the 28th ACM International Conference on Information and Knowledge Management, 2019

An Efficient Approach to Informative Feature Extraction from Multimodal Data.

Lichen Wang, Jiaxiang Wu, Shao-Lun Huang, Lizhong Zheng, Xiangxiang Xu, Lin Zhang, Junzhou Huang

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018

Adaptive Graph Guided Embedding for Multi-label Annotation.

Lichen Wang, Zhengming Ding, Yun Fu

Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

Image Super-Resolution Using Very Deep Residual Channel Attention Networks.

Yulun Zhang, Kunpeng Li, Kai Li, Lichen Wang, Bineng Zhong, Yun Fu

Proceedings of the Computer Vision - ECCV 2018, 2018

Learning Transferable Subspace for Human Motion Segmentation.

Lichen Wang, Zhengming Ding, Yun Fu

Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2005

Certificateless Threshold Signature Schemes.

Lichen Wang, Zhenfu Cao, Xiangxue Li, Haifeng Qian

Proceedings of the Computational Intelligence and Security, International Conference, 2005

Efficient Non-interactive Deniable Authentication Protocols.

Haifeng Qian, Zhenfu Cao, Lichen Wang, Qingshui Xue

Proceedings of the Fifth International Conference on Computer and Information Technology (CIT 2005), 2005