Search Results for author: Xiaoqian Li

Found 8 papers, 0 papers with code

From Classification to Generation: Insights into Crosslingual Retrieval Augmented ICL

no code implementations11 Nov 2023 Xiaoqian Li, Ercong Nie, Sheng Liang

The remarkable ability of Large Language Models (LLMs) to understand and follow instructions has sometimes been limited by their in-context learning (ICL) performance in low-resource languages.

In-Context Learning Retrieval

Crosslingual Retrieval Augmented In-context Learning for Bangla

no code implementations1 Nov 2023 Xiaoqian Li, Ercong Nie, Sheng Liang

The promise of Large Language Models (LLMs) in Natural Language Processing has often been overshadowed by their limited performance in low-resource languages such as Bangla.

In-Context Learning Retrieval

Joint User Association and Bandwidth Allocation in Semantic Communication Networks

no code implementations29 Dec 2022 Le Xia, Yao Sun, Dusit Niyato, Xiaoqian Li, Muhammad Ali Imran

Nevertheless, the unique demand for background knowledge matching makes it challenging to achieve efficient wireless resource management for multiple users in SemCom-enabled networks (SC-Nets).

Management

Fast Quasi-Optimal Power Flow of Flexible DC Traction Power Systems

no code implementations5 Nov 2022 Zhanhe Li, Xiaoqian Li, Yingdong Wei, Chao Lu, Xuelian Bai

Then, the analytical mapping from load information to near-optimal solutions is obtained inspired by the mechanism of conventional OPF, and the quasi-OPF algorithm is designed based on the mapping.

Computational Efficiency Mathematical Proofs

Wireless Resource Management in Intelligent Semantic Communication Networks

no code implementations15 Feb 2022 Le Xia, Yao Sun, Xiaoqian Li, Gang Feng, Muhammad Ali Imran

The prosperity of artificial intelligence (AI) has laid a promising paradigm of communication system, i. e., intelligent semantic communication (ISC), where semantic contents, instead of traditional bit sequences, are coded by AI models for efficient communication.

Management

Supervised Learning Achieves Human-Level Performance in MOBA Games: A Case Study of Honor of Kings

no code implementations25 Nov 2020 Deheng Ye, Guibin Chen, Peilin Zhao, Fuhao Qiu, Bo Yuan, Wen Zhang, Sheng Chen, Mingfei Sun, Xiaoqian Li, Siqin Li, Jing Liang, Zhenjie Lian, Bei Shi, Liang Wang, Tengfei Shi, Qiang Fu, Wei Yang, Lanxiao Huang

Unlike prior attempts, we integrate the macro-strategy and the micromanagement of MOBA-game-playing into neural networks in a supervised and end-to-end manner.

Learning to Predict More Accurate Text Instances for Scene Text Detection

no code implementations18 Nov 2019 XiaoQian Li, Jie Liu, Shuwu Zhang, GuiXuan Zhang

At present, multi-oriented text detection methods based on deep neural network have achieved promising performances on various benchmarks.

regression Scene Text Detection +1

Hierarchical Macro Strategy Model for MOBA Game AI

no code implementations19 Dec 2018 Bin Wu, Qiang Fu, Jing Liang, Peng Qu, Xiaoqian Li, Liang Wang, Wei Liu, Wei Yang, Yongsheng Liu

In this paper, we propose a novel learning-based Hierarchical Macro Strategy model for mastering MOBA games, a sub-genre of RTS games.

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