Jia He | DeepAI

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Featured Co-authors

Chao Dong
90 publications
Risheng Liu
75 publications
Fuzhen Zhuang
63 publications
Yi Chen
52 publications
Qing He
52 publications
Long Ma
42 publications
Zhiwei Xu
42 publications
Junyu Liu
35 publications
Chong Han
31 publications
Qihui Wu
29 publications
Xiang Ao
23 publications

∙ 09/21/2023

UAV Swarm Deployment and Trajectory for 3D Area Coverage via Reinforcement Learning

Unmanned aerial vehicles (UAVs) are recognized as promising technologies...

0 Jia He, et al. ∙

∙ 09/02/2023

ASF-Net: Robust Video Deraining via Temporal Alignment and Online Adaptive Learning

In recent times, learning-based methods for video deraining have demonst...

0 Xinwei Xue, et al. ∙

∙ 05/25/2023

Generating Synergistic Formulaic Alpha Collections via Reinforcement Learning

In the field of quantitative trading, it is common practice to transform...

0 Shuo Yu, et al. ∙

∙ 03/21/2023

Style Miner: Find Significant and Stable Explanatory Factors in Time Series with Constrained Reinforcement Learning

In high-dimensional time-series analysis, it is essential to have a set ...

0 Dapeng Li, et al. ∙

∙ 11/14/2022

Functional Split of In-Network Deep Learning for 6G: A Feasibility Study

In existing mobile network systems, the data plane (DP) is mainly consid...

0 Jia He, et al. ∙

∙ 07/22/2022

Learn Continuously, Act Discretely: Hybrid Action-Space Reinforcement Learning For Optimal Execution

Optimal execution is a sequential decision-making problem for cost-savin...

6 Feiyang Pan, et al. ∙

∙ 12/07/2021

In-Network Processing for Low-Latency Industrial Anomaly Detection in Softwarized Networks

Modern manufacturers are currently undertaking the integration of novel ...

0 Huanzhuo Wu, et al. ∙

∙ 04/01/2021

Channel Measurement and Path-Loss Characterization for Low-Terahertz Indoor Scenarios

TeraHertz (THz) communications are envisioned as a promising technology,...

0 Jia He, et al. ∙

∙ 10/10/2020

Trust the Model When It Is Confident: Masked Model-based Actor-Critic

It is a popular belief that model-based Reinforcement Learning (RL) is m...

11 Feiyang Pan, et al. ∙

∙ 10/11/2019

Efficient and Adaptive Kernelization for Nonlinear Max-margin Multi-view Learning

Existing multi-view learning methods based on kernel function either req...

0 Changying Du, et al. ∙

∙ 10/10/2019

Learning beyond Predefined Label Space via Bayesian Nonparametric Topic Modelling

In real world machine learning applications, testing data may contain so...

14 Changying Du, et al. ∙

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