Yu Lin

According to our database, Yu Lin authored at least 18 papers between 2019 and 2023.

Collaborative distances:

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

2023

Dual Contrastive Learning Framework for Incremental Text Classification.

Yigong Wang, Zhuoyi Wang, Yu Lin, Jinghui Guo, Sadaf Md. Halim, Latifur Khan

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

2022

Unified Spatio-Temporal Graph Neural Networks: Data-Driven Modeling for Social Science.

Yifan Li, Yu Lin, Yang Gao, Latifur Khan

Proceedings of the International Joint Conference on Neural Networks, 2022

Controllable Fake Document Infilling for Cyber Deception.

Yibo Hu, Yu Lin, Erick Skorupa Parolin, Latifur Khan, Kevin W. Hamlen

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022

2021

CLEAR: Contrastive-Prototype Learning with Drift Estimation for Resource Constrained Stream Mining.

Zhuoyi Wang, Yuqiao Chen, Chen Zhao, Yu Lin, Xujiang Zhao, Hemeng Tao, Yigong Wang, Latifur Khan

Proceedings of the WWW '21: The Web Conference 2021, 2021

Attention-Based Spatial Guidance for Image-to-Image Translation.

Yu Lin, Yigong Wang, Yifan Li, Yang Gao, Zhuoyi Wang, Latifur Khan

Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2021

CIFDM: Continual and Interactive Feature Distillation for Multi-Label Stream Learning.

Yigong Wang, Zhuoyi Wang, Yu Lin, Latifur Khan, Dingcheng Li

Proceedings of the SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2021

Generating Point Cloud from Single Image in The Few Shot Scenario.

Yu Lin, Jinghui Guo, Yang Gao, Yi-Fan Li, Zhuoyi Wang, Latifur Khan

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

Cross-Domain Sentiment Classification with Attention-Assisted GAN.

Yi-Fan Li, Yu Lin, Yang Gao, Latifur Khan

Proceedings of the Third IEEE International Conference on Cognitive Machine Intelligence, 2021

Unsupervised Perturbation based Self-Supervised Adversarial Training.

Zhuoyi Wang, Yu Lin, Yifan Li, Feng Mi, Zachary Tian, Latifur Khan, Bhavani Thuraisingham

Proceedings of the 7th IEEE International Conference on Big Data Security on Cloud, 2021

Single View Point Cloud Generation via Unified 3D Prototype.

Yu Lin, Yigong Wang, Yi-Fan Li, Zhuoyi Wang, Yang Gao, Latifur Khan

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

2020

Deep Learning on Knowledge Graph for Recommender System: A Survey.

Yang Gao, Yi-Fan Li, Yu Lin, Hang Gao, Latifur Khan

CoRR, 2020

Few-Sample and Adversarial Representation Learning for Continual Stream Mining.

Zhuoyi Wang, Yigong Wang, Yu Lin, Evan Delord, Latifur Khan

Proceedings of the WWW '20: The Web Conference 2020, Taipei, Taiwan, April 20-24, 2020, 2020

Prediction of Plantar Shear Stress Distribution by Conditional GAN with Attention Mechanism.

Jinghui Guo, Ali Ersen, Yang Gao, Yu Lin, Latifur Khan, Metin Yavuz

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020

SetConv: A New Approach for Learning from Imbalanced Data.

Yang Gao, Yi-Fan Li, Yu Lin, Charu C. Aggarwal, Latifur Khan

Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

A Simple, Effective and Extendible Approach to Deep Multi-task Learning.

Yang Gao, Yi-Fan Li, Yu Lin, Hemeng Tao, Latifur Khan

Proceedings of the 2020 IEEE International Conference on Big Data (IEEE BigData 2020), 2020

Few Sample Learning without Data Storage for Lifelong Stream Mining (Student Abstract).

Zhuoyi Wang, Yigong Wang, Yu Lin, Bo Dong, Hemeng Tao, Latifur Khan

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

2019

Co-Representation Learning Framework For the Open-Set Data Classification.

Zhuoyi Wang, Bo Dong, Yu Lin, Yigong Wang, Md Shihabul Islam, Latifur Khan

Proceedings of the 2019 IEEE International Conference on Big Data (IEEE BigData), 2019

SIM: Open-World Multi-Task Stream Classifier with Integral Similarity Metrics.

Yang Gao, Yi-Fan Li, Bo Dong, Yu Lin, Latifur Khan

Proceedings of the 2019 IEEE International Conference on Big Data (IEEE BigData), 2019