Jing Wu

According to our database, Jing Wu authored at least 11 papers between 2022 and 2024.

Collaborative distances:

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

2024

Towards a Robust Retrieval-Based Summarization System.

Shengjie Liu, Jing Wu, Jingyuan Bao, Wenyi Wang, Naira Hovakimyan, Christopher G. Healey

CoRR, 2024

The New Agronomists: Language Models are Experts in Crop Management.

Jing Wu, Zhixin Lai, Suiyao Chen, Ran Tao, Pan Zhao, Naira Hovakimyan

CoRR, 2024

Residual-based Language Models are Free Boosters for Biomedical Imaging.

Zhixin Lai, Jing Wu, Suiyao Chen, Yucheng Zhou, Naira Hovakimyan

CoRR, 2024

2023

Extended Agriculture-Vision: An Extension of a Large Aerial Image Dataset for Agricultural Pattern Analysis.

Jing Wu, David Pichler, Daniel Marley, Naira Hovakimyan, David Wilson, Jennifer A. Hobbs

Trans. Mach. Learn. Res., 2023

ReConTab: Regularized Contrastive Representation Learning for Tabular Data.

Suiyao Chen, Jing Wu, Naira Hovakimyan, Handong Yao

CoRR, 2023

Double Dynamic Sparse Training for GANs.

Yite Wang, Jing Wu, Naira Hovakimyan, Ruoyu Sun

CoRR, 2023

Balanced Training for Sparse GANs.

Yite Wang, Jing Wu, Naira Hovakimyan, Ruoyu Sun

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Optimizing Crop Management with Reinforcement Learning and Imitation Learning.

Ran Tao, Pan Zhao, Jing Wu, Nicolas F. Martin, Matthew Tom Harrison, Carla Sofia Santos Ferreira, Zahra Kalantari, Naira Hovakimyan

Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

Hallucination Improves the Performance of Unsupervised Visual Representation Learning.

Jing Wu, Jennifer A. Hobbs, Naira Hovakimyan

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

GenCo: An Auxiliary Generator from Contrastive Learning for Enhanced Few-Shot Learning in Remote Sensing.

Jing Wu, Naira Hovakimyan, Jennifer A. Hobbs

Proceedings of the ECAI 2023 - 26th European Conference on Artificial Intelligence, September 30 - October 4, 2023, Kraków, Poland, 2023

2022

Optimizing Nitrogen Management with Deep Reinforcement Learning and Crop Simulations.

Jing Wu, Ran Tao, Pan Zhao, Nicolas F. Martin, Naira Hovakimyan

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