Wei Xia

34 papers A* 6A 6B 1Journal 12Unranked 9
YearRankTypeTitle / Venue / Authors
2025 J jnl
A Comprehensive Survey on Deep Learning Techniques in Educational Data Mining.
Data Sci. Eng.
Yuanguo Lin, Hong Chen, Wei Xia, Fan Lin, Zongyue Wang, Yong Liu
2025 J jnl
AdvKT: An Adversarial Multi-Step Training Framework for Knowledge Tracing.
CoRR
Lingyue Fu, Ting Long, Jianghao Lin, Wei Xia, Xinyi Dai, Ruiming Tang, Yasheng Wang, Weinan Zhang, Yong Yu
2025 — conf
AdvKT: An Adversarial Multi-step Training Framework for Knowledge Tracing.
ECML/PKDD (7)
Lingyue Fu, Ting Long, Jianghao Lin, Wei Xia, Xinyi Dai, Ruiming Tang, Yasheng Wang, Weinan Zhang, Yong Yu
2025 — conf
CoIR: A Comprehensive Benchmark for Code Information Retrieval Models.
ACL (1)
Xiangyang Li, Kuicai Dong, Yi Quan Lee, Wei Xia, Hao Zhang, Xinyi Dai, Yasheng Wang, Ruiming Tang
2025 A conf
LLM4CD: Leveraging Large Language Models for Open-World Knowledge Augmented Cognitive Diagnosis.
CIKM
Weiming Zhang, Lingyue Fu, Qingyao Li, Kounianhua Du, Jianghao Lin, Jingwei Yu, Wei Xia, Weinan Zhang, Ruiming Tang, Yong Yu
2025 J jnl
LLM4CD: Leveraging Large Language Models for Open-World Knowledge Augmented Cognitive Diagnosis.
CoRR
Weiming Zhang, Lingyue Fu, Qingyao Li, Kounianhua Du, Jianghao Lin, Jingwei Yu, Wei Xia, Weinan Zhang, Ruiming Tang, Yong Yu
2025 A* conf
RethinkMCTS: Refining Erroneous Thoughts in Monte Carlo Tree Search for Code Generation.
EMNLP
Qingyao Li, Wei Xia, Xinyi Dai, Kounianhua Du, Weiwen Liu, Yasheng Wang, Ruiming Tang, Yong Yu, Weinan Zhang
2025 A* conf
Simulating Question-answering Correctness with a Conditional Diffusion.
WWW
Ting Long, Li'ang Yin, Yi Chang, Wei Xia, Yong Yu
2024 J jnl
Adapting Large Language Models for Education: Foundational Capabilities, Potentials, and Challenges.
CoRR
Qingyao Li, Lingyue Fu, Weiming Zhang, Xianyu Chen, Jingwei Yu, Wei Xia, Weinan Zhang, Ruiming Tang, Yong Yu
2024 J jnl
CoIR: A Comprehensive Benchmark for Code Information Retrieval Models.
CoRR
Xiangyang Li, Kuicai Dong, Yi Quan Lee, Wei Xia, Yichun Yin, Hao Zhang, Yong Liu, Yasheng Wang, Ruiming Tang
2024 J jnl
CodeGRAG: Extracting Composed Syntax Graphs for Retrieval Augmented Cross-Lingual Code Generation.
CoRR
Kounianhua Du, Renting Rui, Huacan Chai, Lingyue Fu, Wei Xia, Yasheng Wang, Ruiming Tang, Yong Yu, Weinan Zhang
2024 — conf
HiFI: Hierarchical Fairness-aware Integrated Ranking with Constrained Reinforcement Learning.
WWW (Companion Volume)
Yifan Liu, Wei Xia, Weiwen Liu, Menghui Zhu, Weinan Zhang, Ruiming Tang, Yong Yu
2024 J jnl
Learning Structure and Knowledge Aware Representation with Large Language Models for Concept Recommendation.
CoRR
Qingyao Li, Wei Xia, Kounianhua Du, Qiji Zhang, Weinan Zhang, Ruiming Tang, Yong Yu
2024 — conf
Multi-sourced Integrated Ranking with Exposure Fairness.
PAKDD (5)
Yifan Liu, Weiwen Liu, Wei Xia, Jieming Zhu, Weinan Zhang, Zhenhua Dong, Yang Wang, Ruiming Tang, Rui Zhang, Yong Yu
2024 A* conf
Privileged Knowledge State Distillation for Reinforcement Learning-based Educational Path Recommendation.
KDD
Qingyao Li, Wei Xia, Li'ang Yin, Jiarui Jin, Yong Yu
2024 J jnl
RethinkMCTS: Refining Erroneous Thoughts in Monte Carlo Tree Search for Code Generation.
CoRR
Qingyao Li, Wei Xia, Kounianhua Du, Xinyi Dai, Ruiming Tang, Yasheng Wang, Yong Yu, Weinan Zhang
2024 A conf
SINKT: A Structure-Aware Inductive Knowledge Tracing Model with Large Language Model.
CIKM
Lingyue Fu, Hao Guan, Kounianhua Du, Jianghao Lin, Wei Xia, Weinan Zhang, Ruiming Tang, Yasheng Wang, Yong Yu
2024 J jnl
SINKT: A Structure-Aware Inductive Knowledge Tracing Model with Large Language Model.
CoRR
Lingyue Fu, Hao Guan, Kounianhua Du, Jianghao Lin, Wei Xia, Weinan Zhang, Ruiming Tang, Yasheng Wang, Yong Yu
2023 J jnl
A Comprehensive Survey on Deep Learning Techniques in Educational Data Mining.
CoRR
Yuanguo Lin, Hong Chen, Wei Xia, Fan Lin, Pengcheng Wu, Zongyue Wang, Yong Li
2023 A* conf
GMOCAT: A Graph-Enhanced Multi-Objective Method for Computerized Adaptive Testing.
KDD
Hangyu Wang, Ting Long, Liang Yin, Weinan Zhang, Wei Xia, Qichen Hong, Dingyin Xia, Ruiming Tang, Yong Yu
2023 J jnl
GMOCAT: A Graph-Enhanced Multi-Objective Method for Computerized Adaptive Testing.
CoRR
Hangyu Wang, Ting Long, Liang Yin, Weinan Zhang, Wei Xia, Qichen Hong, Dingyin Xia, Ruiming Tang, Yong Yu
2023 A conf
Graph Enhanced Hierarchical Reinforcement Learning for Goal-oriented Learning Path Recommendation.
CIKM
Qingyao Li, Wei Xia, Li'ang Yin, Jian Shen, Renting Rui, Weinan Zhang, Xianyu Chen, Ruiming Tang, Yong Yu
2023 — conf
Integrated Ranking for News Feed with Reinforcement Learning.
WWW (Companion Volume)
Menghui Zhu, Wei Xia, Weiwen Liu, Yifan Liu, Ruiming Tang, Weinan Zhang
2023 A conf
Optimal Real-Time Bidding Strategy for Position Auctions in Online Advertising.
CIKM
Weitong Ou, Bo Chen, Weiwen Liu, Xinyi Dai, Weinan Zhang, Wei Xia, Xuan Li, Ruiming Tang, Yong Yu
2023 — conf
RLMixer: A Reinforcement Learning Approach for Integrated Ranking with Contrastive User Preference Modeling.
PAKDD (3)
Jing Wang, Mengchen Zhao, Wei Xia, Zhenhua Dong, Ruiming Tang, Rui Zhang, Jianye Hao, Guangyong Chen, Pheng-Ann Heng
2023 — conf
SACAT: Student-Adaptive Computerized Adaptive Testing.
DAI
Jingwei Yu, Zhenyu Mu, Jiayi Lei, Liang Yin, Wei Xia, Yong Yu, Ting Long
2023 A* conf
Set-to-Sequence Ranking-Based Concept-Aware Learning Path Recommendation.
AAAI
Xianyu Chen, Jian Shen, Wei Xia, Jiarui Jin, Yakun Song, Weinan Zhang, Weiwen Liu, Menghui Zhu, Ruiming Tang, Kai Dong, Dingyin Xia, Yong Yu
2023 J jnl
Set-to-Sequence Ranking-based Concept-aware Learning Path Recommendation.
CoRR
Xianyu Chen, Jian Shen, Wei Xia, Jiarui Jin, Yakun Song, Weinan Zhang, Weiwen Liu, Menghui Zhu, Ruiming Tang, Kai Dong, Dingyin Xia, Yong Yu
2022 B conf
Automatical Graph-based Knowledge Tracing.
EDM
Ting Long, Yunfei Liu, Weinan Zhang, Wei Xia, Zhicheng He, Ruiming Tang, Yong Yu
2022 A conf
Balancing Utility and Exposure Fairness for Integrated Ranking with Reinforcement Learning.
CIKM
Wei Xia, Weiwen Liu, Yifan Liu, Ruiming Tang
2022 A conf
Improving Knowledge Tracing with Collaborative Information.
WSDM
Ting Long, Jiarui Qin, Jian Shen, Weinan Zhang, Wei Xia, Ruiming Tang, Xiuqiang He, Yong Yu
2022 A* conf
Unsupervised Learning Style Classification for Learning Path Generation in Online Education Platforms.
KDD
Zhicheng He, Wei Xia, Kai Dong, Huifeng Guo, Ruiming Tang, Dingyin Xia, Rui Zhang
2016 — conf
A Control Strategy of Autonomous Vehicles Based on Deep Reinforcement Learning.
ISCID (2)
Wei Xia, Huiyun Li, Baopu Li
2016 — conf
Indoor human detection using RGB-D images.
ICIA
Baopu Li, Haoyang Jin, Qi Zhang, Wei Xia, Huiyun Li