Linjie Xu

Orcid: 0000-0002-7152-5096

According to our database1, Linjie Xu authored at least 15 papers between 2018 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Relabeling Minimal Training Subset to Flip a Prediction.
Proceedings of the Findings of the Association for Computational Linguistics: EACL 2024, 2024

2023
Elastic Monte Carlo Tree Search.
IEEE Trans. Games, December, 2023

Two new classes of permutation trinomials over Fq3 with odd characteristic.
Discret. Math., December, 2023

The differential spectrum and boomerang spectrum of a class of locally-APN functions.
Des. Codes Cryptogr., May, 2023

Mildly Constrained Evaluation Policy for Offline Reinforcement Learning.
CoRR, 2023

2022
Two new classes of permutation trinomials over 픽<sub>q<sup>3</sup></sub> with odd characteristic.
IACR Cryptol. ePrint Arch., 2022

Several new classes of optimal ternary cyclic codes with minimum distance four.
Adv. Math. Commun., 2022

Elastic Monte Carlo Tree Search with State Abstraction for Strategy Game Playing.
Proceedings of the IEEE Conference on Games, CoG 2022, Beijing, 2022

2021
Generating Diverse and Competitive Play-Styles for Strategy Games.
CoRR, 2021

Deep Multi-task Augmented Feature Learning via Hierarchical Graph Neural Network.
Proceedings of the Machine Learning and Knowledge Discovery in Databases. Research Track, 2021

Generating Diverse and Competitive Play-Styles for Strategy Games.
Proceedings of the 2021 IEEE Conference on Games (CoG), 2021

Game State and Action Abstracting Monte Carlo Tree Search for General Strategy Game-Playing.
Proceedings of the 2021 IEEE Conference on Games (CoG), 2021

Portfolio Search and Optimization for General Strategy Game-Playing.
Proceedings of the IEEE Congress on Evolutionary Computation, 2021

2019
A Hierarchical Approach for MARLÖ Challenge.
Proceedings of the IEEE Conference on Games, 2019

2018
Data-Intensive Computing Acceleration with Python in Xilinx FPGA.
Proceedings of the Data Quality and Trust in Big Data - 5th International Workshop, 2018


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