Zongyu Lin

According to our database1, Zongyu Lin authored at least 13 papers between 2020 and 2024.

Collaborative distances:

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2024
MM-Ego: Towards Building Egocentric Multimodal LLMs.
CoRR, 2024

SparseCL: Sparse Contrastive Learning for Contradiction Retrieval.
CoRR, 2024

VideoPhy: Evaluating Physical Commonsense for Video Generation.
CoRR, 2024

Survey of Bias In Text-to-Image Generation: Definition, Evaluation, and Mitigation.
CoRR, 2024

VDebugger: Harnessing Execution Feedback for Debugging Visual Programs.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

2023
Not All Tasks Are Born Equal: Understanding Zero-Shot Generalization.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

A Universal Discriminator for Zero-Shot Generalization.
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.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022

HAGEN: Homophily-Aware Graph Convolutional Recurrent Network for Crime Forecasting.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021
Vehicle Trajectory Recovery on Road Network Based on Traffic Camera Video Data.
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.
Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2020

HealthWalks: Sensing Fine-grained Individual Health Condition via Mobility Data.
Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2020

CrimeForecaster: Crime Prediction by Exploiting the Geographical Neighborhoods' Spatiotemporal Dependencies.
Proceedings of the Machine Learning and Knowledge Discovery in Databases. Applied Data Science and Demo Track, 2020


  Loading...