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Jianye Hao

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Out-of-distribution Detection with Implicit Outlier Transformation

Mar 09, 2023
Qizhou Wang, Junjie Ye, Feng Liu, Quanyu Dai, Marcus Kalander, Tongliang Liu, Jianye Hao, Bo Han

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DR-Label: Improving GNN Models for Catalysis Systems by Label Deconstruction and Reconstruction

Mar 06, 2023
Bowen Wang, Chen Liang, Jiaze Wang, Furui Liu, Shaogang Hao, Dong Li, Jianye Hao, Guangyong Chen, Xiaolong Zou, Pheng-Ann Heng

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DAG Matters! GFlowNets Enhanced Explainer For Graph Neural Networks

Mar 04, 2023
Wenqian Li, Yinchuan Li, Zhigang Li, Jianye Hao, Yan Pang

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CFlowNets: Continuous Control with Generative Flow Networks

Mar 04, 2023
Yinchuan Li, Shuang Luo, Haozhi Wang, Jianye Hao

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The Ladder in Chaos: A Simple and Effective Improvement to General DRL Algorithms by Policy Path Trimming and Boosting

Mar 02, 2023
Hongyao Tang, Min Zhang, Jianye Hao

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Spectral Augmentations for Graph Contrastive Learning

Feb 06, 2023
Amur Ghose, Yingxue Zhang, Jianye Hao, Mark Coates

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Reweighted Interacting Langevin Diffusions: an Accelerated Sampling Methodfor Optimization

Jan 30, 2023
Junlong Lyu, Zhitang Chen, Wenlong Lyu, Jianye Hao

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Plan To Predict: Learning an Uncertainty-Foreseeing Model for Model-Based Reinforcement Learning

Jan 20, 2023
Zifan Wu, Chao Yu, Chen Chen, Jianye Hao, Hankz Hankui Zhuo

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Transformer in Transformer as Backbone for Deep Reinforcement Learning

Jan 03, 2023
Hangyu Mao, Rui Zhao, Hao Chen, Jianye Hao, Yiqun Chen, Dong Li, Junge Zhang, Zhen Xiao

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Neighbor Auto-Grouping Graph Neural Networks for Handover Parameter Configuration in Cellular Network

Dec 29, 2022
Mehrtash Mehrabi, Walid Masoudimansour, Yingxue Zhang, Jie Chuai, Zhitang Chen, Mark Coates, Jianye Hao, Yanhui Geng

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