Zongyu Lin

According to our database, Zongyu Lin authored at least 8 papers between 2020 and 2023.

Collaborative distances:

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

2023

Not All Tasks Are Born Equal: Understanding Zero-Shot Generalization.

Jing Zhou, Zongyu Lin, Yanan Zheng, Jian Li, Zhilin Yang

Proceedings of the Eleventh International Conference on Learning Representations, 2023

A Universal Discriminator for Zero-Shot Generalization.

Haike Xu, Zongyu Lin, Jing Zhou, Yanan Zheng, Zhilin Yang

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

2022

Learning to Detect Noisy Labels Using Model-Based Features.

Zhihao Wang, Zongyu Lin, Junjie Wen, Xianxin Chen, Peiqi Liu, Guidong Zheng, Yujun Chen, Zhilin Yang

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

HAGEN: Homophily-Aware Graph Convolutional Recurrent Network for Crime Forecasting.

Chenyu Wang, Zongyu Lin, Xiaochen Yang, Jiao Sun, Mingxuan Yue, Cyrus Shahabi

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

Vehicle Trajectory Recovery on Road Network Based on Traffic Camera Video Data.

Zongyu Lin, Guozhen Zhang, Zhiqun He, Jie Feng, Wei Wu, Yong Li

Proceedings of the SIGSPATIAL '21: 29th International Conference on Advances in Geographic Information Systems, 2021

2020

SUME: Semantic-enhanced Urban Mobility Network Embedding for User Demographic Inference.

Fengli Xu, Zongyu Lin, Tong Xia, Diansheng Guo, Yong Li

Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2020

HealthWalks: Sensing Fine-grained Individual Health Condition via Mobility Data.

Zongyu Lin, Shiqing Lyu, Hancheng Cao, Fengli Xu, Yuqiong Wei, Hanan Samet, Yong Li

Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2020

CrimeForecaster: Crime Prediction by Exploiting the Geographical Neighborhoods' Spatiotemporal Dependencies.

Jiao Sun, Mingxuan Yue, Zongyu Lin, Xiaochen Yang, Luciano Nocera, Gabriel Kahn, Cyrus Shahabi

Proceedings of the Machine Learning and Knowledge Discovery in Databases. Applied Data Science and Demo Track, 2020