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Wei Xia 0001
Person information
- affiliation: Huawei Noah's Ark Lab, Shenzhen, China
Other persons with the same name
- Wei Xia — disambiguation page
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2020 – today
- 2024
- [c17]Lingyue Fu, Hao Guan, Kounianhua Du, Jianghao Lin, Wei Xia, Weinan Zhang, Ruiming Tang, Yasheng Wang, Yong Yu:
SINKT: A Structure-Aware Inductive Knowledge Tracing Model with Large Language Model. CIKM 2024: 632-642 - [c16]Qingyao Li, Wei Xia, Li'ang Yin, Jiarui Jin, Yong Yu:
Privileged Knowledge State Distillation for Reinforcement Learning-based Educational Path Recommendation. KDD 2024: 1621-1630 - [c15]Yifan Liu, Weiwen Liu, Wei Xia, Jieming Zhu, Weinan Zhang, Zhenhua Dong, Yang Wang, Ruiming Tang, Rui Zhang, Yong Yu:
Multi-sourced Integrated Ranking with Exposure Fairness. PAKDD (5) 2024: 207-218 - [c14]Yifan Liu, Wei Xia, Weiwen Liu, Menghui Zhu, Weinan Zhang, Ruiming Tang, Yong Yu:
HiFI: Hierarchical Fairness-aware Integrated Ranking with Constrained Reinforcement Learning. WWW (Companion Volume) 2024: 196-205 - [i8]Qingyao Li, Lingyue Fu, Weiming Zhang, Xianyu Chen, Jingwei Yu, Wei Xia, Weinan Zhang, Ruiming Tang, Yong Yu:
Adapting Large Language Models for Education: Foundational Capabilities, Potentials, and Challenges. CoRR abs/2401.08664 (2024) - [i7]Kounianhua Du, Renting Rui, Huacan Chai, Lingyue Fu, Wei Xia, Yasheng Wang, Ruiming Tang, Yong Yu, Weinan Zhang:
CodeGRAG: Extracting Composed Syntax Graphs for Retrieval Augmented Cross-Lingual Code Generation. CoRR abs/2405.02355 (2024) - [i6]Qingyao Li, Wei Xia, Kounianhua Du, Qiji Zhang, Weinan Zhang, Ruiming Tang, Yong Yu:
Learning Structure and Knowledge Aware Representation with Large Language Models for Concept Recommendation. CoRR abs/2405.12442 (2024) - [i5]Lingyue Fu, Hao Guan, Kounianhua Du, Jianghao Lin, Wei Xia, Weinan Zhang, Ruiming Tang, Yasheng Wang, Yong Yu:
SINKT: A Structure-Aware Inductive Knowledge Tracing Model with Large Language Model. CoRR abs/2407.01245 (2024) - [i4]Xiangyang Li, Kuicai Dong, Yi Quan Lee, Wei Xia, Yichun Yin, Hao Zhang, Yong Liu, Yasheng Wang, Ruiming Tang:
CoIR: A Comprehensive Benchmark for Code Information Retrieval Models. CoRR abs/2407.02883 (2024) - [i3]Qingyao Li, Wei Xia, Kounianhua Du, Xinyi Dai, Ruiming Tang, Yasheng Wang, Yong Yu, Weinan Zhang:
RethinkMCTS: Refining Erroneous Thoughts in Monte Carlo Tree Search for Code Generation. CoRR abs/2409.09584 (2024) - 2023
- [c13]Xianyu Chen, Jian Shen, Wei Xia, Jiarui Jin, Yakun Song, Weinan Zhang, Weiwen Liu, Menghui Zhu, Ruiming Tang, Kai Dong, Dingyin Xia, Yong Yu:
Set-to-Sequence Ranking-Based Concept-Aware Learning Path Recommendation. AAAI 2023: 5027-5035 - [c12]Qingyao Li, Wei Xia, Li'ang Yin, Jian Shen, Renting Rui, Weinan Zhang, Xianyu Chen, Ruiming Tang, Yong Yu:
Graph Enhanced Hierarchical Reinforcement Learning for Goal-oriented Learning Path Recommendation. CIKM 2023: 1318-1327 - [c11]Weitong Ou, Bo Chen, Weiwen Liu, Xinyi Dai, Weinan Zhang, Wei Xia, Xuan Li, Ruiming Tang, Yong Yu:
Optimal Real-Time Bidding Strategy for Position Auctions in Online Advertising. CIKM 2023: 4766-4772 - [c10]Jingwei Yu, Zhenyu Mu, Jiayi Lei, Liang Yin, Wei Xia, Yong Yu, Ting Long:
SACAT: Student-Adaptive Computerized Adaptive Testing. DAI 2023: 11:1-11:7 - [c9]Hangyu Wang, Ting Long, Liang Yin, Weinan Zhang, Wei Xia, Qichen Hong, Dingyin Xia, Ruiming Tang, Yong Yu:
GMOCAT: A Graph-Enhanced Multi-Objective Method for Computerized Adaptive Testing. KDD 2023: 2279-2289 - [c8]Jing Wang, Mengchen Zhao, Wei Xia, Zhenhua Dong, Ruiming Tang, Rui Zhang, Jianye Hao, Guangyong Chen, Pheng-Ann Heng:
RLMixer: A Reinforcement Learning Approach for Integrated Ranking with Contrastive User Preference Modeling. PAKDD (3) 2023: 400-413 - [c7]Menghui Zhu, Wei Xia, Weiwen Liu, Yifan Liu, Ruiming Tang, Weinan Zhang:
Integrated Ranking for News Feed with Reinforcement Learning. WWW (Companion Volume) 2023: 480-484 - [i2]Xianyu Chen, Jian Shen, Wei Xia, Jiarui Jin, Yakun Song, Weinan Zhang, Weiwen Liu, Menghui Zhu, Ruiming Tang, Kai Dong, Dingyin Xia, Yong Yu:
Set-to-Sequence Ranking-based Concept-aware Learning Path Recommendation. CoRR abs/2306.04234 (2023) - [i1]Hangyu Wang, Ting Long, Liang Yin, Weinan Zhang, Wei Xia, Qichen Hong, Dingyin Xia, Ruiming Tang, Yong Yu:
GMOCAT: A Graph-Enhanced Multi-Objective Method for Computerized Adaptive Testing. CoRR abs/2310.07477 (2023) - 2022
- [c6]Wei Xia, Weiwen Liu, Yifan Liu, Ruiming Tang:
Balancing Utility and Exposure Fairness for Integrated Ranking with Reinforcement Learning. CIKM 2022: 4590-4594 - [c5]Ting Long, Yunfei Liu, Weinan Zhang, Wei Xia, Zhicheng He, Ruiming Tang, Yong Yu:
Automatical Graph-based Knowledge Tracing. EDM 2022 - [c4]Zhicheng He, Wei Xia, Kai Dong, Huifeng Guo, Ruiming Tang, Dingyin Xia, Rui Zhang:
Unsupervised Learning Style Classification for Learning Path Generation in Online Education Platforms. KDD 2022: 2997-3006 - [c3]Ting Long, Jiarui Qin, Jian Shen, Weinan Zhang, Wei Xia, Ruiming Tang, Xiuqiang He, Yong Yu:
Improving Knowledge Tracing with Collaborative Information. WSDM 2022: 599-607
2010 – 2019
- 2016
- [c2]Baopu Li, Haoyang Jin, Qi Zhang, Wei Xia, Huiyun Li:
Indoor human detection using RGB-D images. ICIA 2016: 1354-1360 - [c1]Wei Xia, Huiyun Li, Baopu Li:
A Control Strategy of Autonomous Vehicles Based on Deep Reinforcement Learning. ISCID (2) 2016: 198-201
Coauthor Index
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