Jing Wu

20 papers A* 3A 2Journal 12Unranked 3
YearRankTypeTitle / Venue / Authors
2024 J jnl
CROPS: A Deployable Crop Management System Over All Possible State Availabilities.
CoRR
Jing Wu, Zhixin Lai, Shengjie Liu, Suiyao Chen, Ran Tao, Pan Zhao, Chuyuan Tao, Yikun Cheng, Naira Hovakimyan
2024 — conf
Residual-based Language Models are Free Boosters for Biomedical Imaging Tasks.
CVPR Workshops
Zhixin Lai, Jing Wu, Suiyao Chen, Yucheng Zhou, Naira Hovakimyan
2024 J jnl
Residual-based Language Models are Free Boosters for Biomedical Imaging.
CoRR
Zhixin Lai, Jing Wu, Suiyao Chen, Yucheng Zhou, Naira Hovakimyan
2024 — conf
The New Agronomists: Language Models are Experts in Crop Management.
CVPR Workshops
Jing Wu, Zhixin Lai, Suiyao Chen, Ran Tao, Pan Zhao, Naira Hovakimyan
2024 J jnl
The New Agronomists: Language Models are Experts in Crop Management.
CoRR
Jing Wu, Zhixin Lai, Suiyao Chen, Ran Tao, Pan Zhao, Naira Hovakimyan
2024 J jnl
Towards a Robust Retrieval-Based Summarization System.
CoRR
Shengjie Liu, Jing Wu, Jingyuan Bao, Wenyi Wang, Naira Hovakimyan, Christopher G. Healey
2023 A* conf
Balanced Training for Sparse GANs.
NeurIPS
Yite Wang, Jing Wu, Naira Hovakimyan, Ruoyu Sun
2023 J jnl
Double Dynamic Sparse Training for GANs.
CoRR
Yite Wang, Jing Wu, Naira Hovakimyan, Ruoyu Sun
2023 J jnl
Extended Agriculture-Vision: An Extension of a Large Aerial Image Dataset for Agricultural Pattern Analysis.
CoRR
Jing Wu, David Pichler, Daniel Marley, David Wilson, Naira Hovakimyan, Jennifer A. Hobbs
2023 J jnl
Extended Agriculture-Vision: An Extension of a Large Aerial Image Dataset for Agricultural Pattern Analysis.
Trans. Mach. Learn. Res.
Jing Wu, David Pichler, Daniel Marley, Naira Hovakimyan, David Wilson, Jennifer A. Hobbs
2023 A conf
GenCo: An Auxiliary Generator from Contrastive Learning for Enhanced Few-Shot Learning in Remote Sensing.
ECAI
Jing Wu, Naira Hovakimyan, Jennifer A. Hobbs
2023 J jnl
GenCo: An Auxiliary Generator from Contrastive Learning for Enhanced Few-Shot Learning in Remote Sensing.
CoRR
Jing Wu, Naira Hovakimyan, Jennifer A. Hobbs
2023 A* conf
Hallucination Improves the Performance of Unsupervised Visual Representation Learning.
ICCV
Jing Wu, Jennifer A. Hobbs, Naira Hovakimyan
2023 J jnl
Hallucination Improves the Performance of Unsupervised Visual Representation Learning.
CoRR
Jing Wu, Jennifer A. Hobbs, Naira Hovakimyan
2023 A conf
Optimizing Crop Management with Reinforcement Learning and Imitation Learning.
AAMAS
Ran Tao, Pan Zhao, Jing Wu, Nicolas F. Martin, Matthew Tom Harrison, Carla Sofia Santos Ferreira, Zahra Kalantari, Naira Hovakimyan
2023 A* conf
Optimizing Crop Management with Reinforcement Learning and Imitation Learning.
IJCAI
Ran Tao, Pan Zhao, Jing Wu, Nicolas F. Martin, Matthew Tom Harrison, Carla Sofia Santos Ferreira, Zahra Kalantari, Naira Hovakimyan
2023 J jnl
ReConTab: Regularized Contrastive Representation Learning for Tabular Data.
CoRR
Suiyao Chen, Jing Wu, Naira Hovakimyan, Handong Yao
2022 J jnl
Optimizing Crop Management with Reinforcement Learning and Imitation Learning.
CoRR
Ran Tao, Pan Zhao, Jing Wu, Nicolas F. Martin, Matthew Tom Harrison, Carla Sofia Santos Ferreira, Zahra Kalantari, Naira Hovakimyan
2022 — conf
Optimizing Nitrogen Management with Deep Reinforcement Learning and Crop Simulations.
CVPR Workshops
Jing Wu, Ran Tao, Pan Zhao, Nicolas F. Martin, Naira Hovakimyan
2022 J jnl
Optimizing Nitrogen Management with Deep Reinforcement Learning and Crop Simulations.
CoRR
Jing Wu, Ran Tao, Pan Zhao, Nicolas F. Martin, Naira Hovakimyan