no code implementations • 18 May 2024 • Xingyu Wu, Yan Zhong, Jibin Wu, Yuxiao Huang, Sheng-hao Wu, Kay Chen Tan
In the algorithm selection research, the discussion surrounding algorithm features has been significantly overshadowed by the emphasis on problem features.
no code implementations • 9 Apr 2024 • Beichen Huang, Xingyu Wu, Yu Zhou, Jibin Wu, Liang Feng, Ran Cheng, Kay Chen Tan
To the best of our knowledge, this work presents the first systematic evaluation of LLMs for numerical optimization, offering a progressive, wide-coverage, and behavioral analysis.
no code implementations • 9 Apr 2024 • Yu Zhou, Xingyu Wu, Beicheng Huang, Jibin Wu, Liang Feng, Kay Chen Tan
To address these challenges, this paper proposes a comprehensive benchmark, namely CausalBench, to evaluate the causality understanding capabilities of LLMs.
no code implementations • 4 Mar 2024 • Yuxiao Huang, Wenjie Zhang, Liang Feng, Xingyu Wu, Kay Chen Tan
Recently, large language models (LLMs) have notably positioned them as capable tools for addressing complex optimization challenges.
1 code implementation • 18 Jan 2024 • Xingyu Wu, Sheng-hao Wu, Jibin Wu, Liang Feng, Kay Chen Tan
As the first comprehensive review focused on the EA research in the era of LLMs, this paper provides a foundational stepping stone for understanding the collaborative potential of LLMs and EAs.
1 code implementation • 22 Nov 2023 • Xingyu Wu, Yan Zhong, Jibin Wu, Bingbing Jiang, Kay Chen Tan
The high-dimensional algorithm representation extracted by LLM, after undergoing a feature selection module, is combined with the problem representation and passed to the similarity calculation module.
no code implementations • 15 Feb 2023 • Lei Zhang, Mingliang Wang, Xin Zhou, Xingyu Wu, Yiming Cao, Yonghui Xu, Lizhen Cui, Zhiqi Shen
To address the issue, we propose a novel Dual Graph Multitask framework for imbalanced Delivery Time Estimation (DGM-DTE).
1 code implementation • 5 Nov 2022 • Xin Zhou, Jinglong Wang, Yong liu, Xingyu Wu, Zhiqi Shen, Cyril Leung
Providing accurate estimated time of package delivery on users' purchasing pages for e-commerce platforms is of great importance to their purchasing decisions and post-purchase experiences.
no code implementations • 2 Jul 2022 • Xingyu Wu, Jinyang Li
The system mainly implements two functions based on the activity inference of the sensor data, which are real time abnormal activity monitoring and trend prediction of disease related activities.
1 code implementation • 19 May 2021 • Shengfei Lyu, Xingyu Wu, Jinlong Li, Qiuju Chen, Huanhuan Chen
Deep neural networks such as BERT have made great progress in relation classification.
no code implementations • 9 Nov 2020 • Xingyu Wu, Bingbing Jiang, Yan Zhong, Huanhuan Chen
Analyzing these mechanisms, we provide the theoretical property of common causal variables, based on which the discovery and distinguishing algorithm is designed to identify these two types of variables.
no code implementations • 5 Dec 2019 • Jiaxi Liu, Yidong Zhang, Xiaoqing Wang, Yuming Deng, Xingyu Wu
Field experiment results suggest that DRCR is a more appropriate reward function than revenue, which is widely used by current literature.
no code implementations • 27 Sep 2018 • Jiaxi Liu, Yidong Zhang, Xiaoqing Wang, Yuming Deng, Xingyu Wu, Miaolan Xie
We first extend the application of dynamic pricing to a continuous pricing action space.
no code implementations • 22 Jan 2015 • Xingyu Wu, Xia Mao, Lijiang Chen, Yuli Xue, Angelo Compare
Secondly, the shape context is nonlinearly mapped to a subspace by kernel nonparametric discriminant analysis (KNDA) to get a compact feature representation, and thus a trajectory is projected to a single point in a low-dimensional feature space.