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Optimizing Crop Management with Reinforcement Learning and Imitation Learning


Sep 20, 2022
Ran Tao, Pan Zhao, Jing Wu, Nicolas F. Martin, Matthew T. Harrison, Carla Ferreira, Zahra Kalantari, Naira Hovakimyan


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Defense against Privacy Leakage in Federated Learning


Sep 13, 2022
Jing Wu, Munawar Hayat, Mingyi Zhou, Mehrtash Harandi

* Defence against model inversion attack in federated learning 

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Abstract Demonstrations and Adaptive Exploration for Efficient and Stable Multi-step Sparse Reward Reinforcement Learning


Jul 19, 2022
Xintong Yang, Ze Ji, Jing Wu, Yu-kun Lai

* Accepted by The 27th IEEE International Conference on Automation and Computing (ICAC2022) 

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A Unified Understanding of Deep NLP Models for Text Classification


Jun 19, 2022
Zhen Li, Xiting Wang, Weikai Yang, Jing Wu, Zhengyan Zhang, Zhiyuan Liu, Maosong Sun, Hui Zhang, Shixia Liu

* 14 pages, 10 figures 

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Exploring and Exploiting Hubness Priors for High-Quality GAN Latent Sampling


Jun 13, 2022
Yuanbang Liang, Jing Wu, Yu-Kun Lai, Yipeng Qin

* Accepted at ICML 2022. Our code is available at: https://github.com/Byronliang8/HubnessGANSampling 

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Optimizing Nitrogen Management with Deep Reinforcement Learning and Crop Simulations


Apr 21, 2022
Jing Wu, Ran Tao, Pan Zhao, Nicolas F. Martin, Naira Hovakimyan


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Playing Lottery Tickets in Style Transfer Models


Apr 10, 2022
Meihao Kong, Jing Huo, Wenbin Li, Jing Wu, Yu-Kun Lai, Yang Gao


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An Open-Source Multi-Goal Reinforcement Learning Environment for Robotic Manipulation with Pybullet


May 12, 2021
Xintong Yang, Ze Ji, Jing Wu, Yu-Kun Lai

* Submitted to Taros 2021 

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Performance Evaluation of Adversarial Attacks: Discrepancies and Solutions


Apr 22, 2021
Jing Wu, Mingyi Zhou, Ce Zhu, Yipeng Liu, Mehrtash Harandi, Li Li


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A Survey On Universal Adversarial Attack


Mar 02, 2021
Chaoning Zhang, Philipp Benz, Chenguo Lin, Adil Karjauv, Jing Wu, In So Kweon


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