Wei Xia

According to our database, Wei Xia authored at least 22 papers between 2016 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

RethinkMCTS: Refining Erroneous Thoughts in Monte Carlo Tree Search for Code Generation.

Qingyao Li, Wei Xia, Kounianhua Du, Xinyi Dai, Ruiming Tang, Yasheng Wang, Yong Yu, Weinan Zhang

CoRR, 2024

CoIR: A Comprehensive Benchmark for Code Information Retrieval Models.

Xiangyang Li, Kuicai Dong, Yi Quan Lee, Wei Xia, Yichun Yin, Hao Zhang, Yong Liu, Yasheng Wang, Ruiming Tang

CoRR, 2024

Learning Structure and Knowledge Aware Representation with Large Language Models for Concept Recommendation.

Qingyao Li, Wei Xia, Kounianhua Du, Qiji Zhang, Weinan Zhang, Ruiming Tang, Yong Yu

CoRR, 2024

CodeGRAG: Extracting Composed Syntax Graphs for Retrieval Augmented Cross-Lingual Code Generation.

Kounianhua Du, Renting Rui, Huacan Chai, Lingyue Fu, Wei Xia, Yasheng Wang, Ruiming Tang, Yong Yu, Weinan Zhang

CoRR, 2024

Adapting Large Language Models for Education: Foundational Capabilities, Potentials, and Challenges.

Qingyao Li, Lingyue Fu, Weiming Zhang, Xianyu Chen, Jingwei Yu, Wei Xia, Weinan Zhang, Ruiming Tang, Yong Yu

CoRR, 2024

HiFI: Hierarchical Fairness-aware Integrated Ranking with Constrained Reinforcement Learning.

Yifan Liu, Wei Xia, Weiwen Liu, Menghui Zhu, Weinan Zhang, Ruiming Tang, Yong Yu

Proceedings of the Companion Proceedings of the ACM on Web Conference 2024, 2024

Multi-sourced Integrated Ranking with Exposure Fairness.

Yifan Liu, Weiwen Liu, Wei Xia, Jieming Zhu, Weinan Zhang, Zhenhua Dong, Yang Wang, Ruiming Tang, Rui Zhang, Yong Yu

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2024

Privileged Knowledge State Distillation for Reinforcement Learning-based Educational Path Recommendation.

Qingyao Li, Wei Xia, Li'ang Yin, Jiarui Jin, Yong Yu

Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

SINKT: A Structure-Aware Inductive Knowledge Tracing Model with Large Language Model.

Lingyue Fu, Hao Guan, Kounianhua Du, Jianghao Lin, Wei Xia, Weinan Zhang, Ruiming Tang, Yasheng Wang, Yong Yu

Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024

2023

Integrated Ranking for News Feed with Reinforcement Learning.

Menghui Zhu, Wei Xia, Weiwen Liu, Yifan Liu, Ruiming Tang, Weinan Zhang

Proceedings of the Companion Proceedings of the ACM Web Conference 2023, 2023

RLMixer: A Reinforcement Learning Approach for Integrated Ranking with Contrastive User Preference Modeling.

Jing Wang, Mengchen Zhao, Wei Xia, Zhenhua Dong, Ruiming Tang, Rui Zhang, Jianye Hao, Guangyong Chen, Pheng-Ann Heng

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2023

GMOCAT: A Graph-Enhanced Multi-Objective Method for Computerized Adaptive Testing.

Hangyu Wang, Ting Long, Liang Yin, Weinan Zhang, Wei Xia, Qichen Hong, Dingyin Xia, Ruiming Tang, Yong Yu

Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

SACAT: Student-Adaptive Computerized Adaptive Testing.

Jingwei Yu, Zhenyu Mu, Jiayi Lei, Liang Yin, Wei Xia, Yong Yu, Ting Long

Proceedings of the Fifth International Conference on Distributed Artificial Intelligence, 2023

Optimal Real-Time Bidding Strategy for Position Auctions in Online Advertising.

Weitong Ou, Bo Chen, Weiwen Liu, Xinyi Dai, Weinan Zhang, Wei Xia, Xuan Li, Ruiming Tang, Yong Yu

Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

Graph Enhanced Hierarchical Reinforcement Learning for Goal-oriented Learning Path Recommendation.

Qingyao Li, Wei Xia, Li'ang Yin, Jian Shen, Renting Rui, Weinan Zhang, Xianyu Chen, Ruiming Tang, Yong Yu

Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

Set-to-Sequence Ranking-Based Concept-Aware Learning Path Recommendation.

Xianyu Chen, Jian Shen, Wei Xia, Jiarui Jin, Yakun Song, Weinan Zhang, Weiwen Liu, Menghui Zhu, Ruiming Tang, Kai Dong, Dingyin Xia, Yong Yu

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

Improving Knowledge Tracing with Collaborative Information.

Ting Long, Jiarui Qin, Jian Shen, Weinan Zhang, Wei Xia, Ruiming Tang, Xiuqiang He, Yong Yu

Proceedings of the WSDM '22: The Fifteenth ACM International Conference on Web Search and Data Mining, Virtual Event / Tempe, AZ, USA, February 21, 2022

Unsupervised Learning Style Classification for Learning Path Generation in Online Education Platforms.

Zhicheng He, Wei Xia, Kai Dong, Huifeng Guo, Ruiming Tang, Dingyin Xia, Rui Zhang

Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

Automatical Graph-based Knowledge Tracing.

Ting Long, Yunfei Liu, Weinan Zhang, Wei Xia, Zhicheng He, Ruiming Tang, Yong Yu

Proceedings of the 15th International Conference on Educational Data Mining, 2022

Balancing Utility and Exposure Fairness for Integrated Ranking with Reinforcement Learning.

Wei Xia, Weiwen Liu, Yifan Liu, Ruiming Tang

Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

2016

A Control Strategy of Autonomous Vehicles Based on Deep Reinforcement Learning.

Wei Xia, Huiyun Li, Baopu Li

Proceedings of the 9th International Symposium on Computational Intelligence and Design, 2016

Indoor human detection using RGB-D images.

Baopu Li, Haoyang Jin, Qi Zhang, Wei Xia, Huiyun Li

Proceedings of the IEEE International Conference on Information and Automation, 2016