Study on the Influence of Institutional Investors on Inefficient Investment in Mixed Ownership Enterprises. - Anhua Yang; Qingyao Li; Qing Li (IMMS, 2021)

Knowledge Graph Augmented Political Perspective Detection in News Media. - Shangbin Feng; Zilong Chen; Qingyao Li; Minnan Luo (CoRR, 2021)

I-WKNN: Fast-Speed and High-Accuracy WIFI Positioning for Intelligent Stadiums. - Zhangzhi Zhao; Zhengying Lou; Ruibo Wang; Qingyao Li; Xing Xu 001 (CoRR, 2021)

S3 AAL: Support Set Selection based on Adversarial Active Learning for Medical Few-Shot Relation Extraction. - Qingyao Li; Hui Xu; Hui Wang; Buzhou Tang (BIBM, 2022)

I-WKNN: Fast-speed and high-accuracy WIFI positioning for intelligent sports stadiums. - Zhangzhi Zhao; Zhengying Lou; Ruibo Wang; Qingyao Li; Xing Xu 001 (Comput. Electr. Eng., 2022)

Symbol Rate and Carries Estimation in OFDM Framework: A high Accuracy Technique under Low SNR. - Zetian Qin; Yubai Li; Benye Niu; Qingyao Li; Renhao Xue (CoRR, 2022)

Graph Enhanced Hierarchical Reinforcement Learning for Goal-oriented Learning Path Recommendation. - Qingyao Li; Wei Xia 001; Li'ang Yin; Jian Shen 003; Renting Rui; Weinan Zhang 001; Xianyu Chen; Ruiming Tang; Yong Yu 001 (CIKM, 2023)

Privileged Knowledge State Distillation for Reinforcement Learning-based Educational Path Recommendation. - Qingyao Li; Wei Xia 001; Li'ang Yin; Jiarui Jin; Yong Yu 001 (KDD, 2024)

Adapting Large Language Models for Education: Foundational Capabilities, Potentials, and Challenges. - Qingyao Li; Lingyue Fu; Weiming Zhang; Xianyu Chen; Jingwei Yu; Wei Xia 001; Weinan Zhang 001; Ruiming Tang; Yong Yu 001 (CoRR, 2024)

Learning Structure and Knowledge Aware Representation with Large Language Models for Concept Recommendation. - Qingyao Li; Wei Xia 001; Kounianhua Du; Qiji Zhang; Weinan Zhang 001; Ruiming Tang; Yong Yu 001 (CoRR, 2024)

RethinkMCTS: Refining Erroneous Thoughts in Monte Carlo Tree Search for Code Generation. - Qingyao Li; Wei Xia 001; Kounianhua Du; Xinyi Dai; Ruiming Tang; Yasheng Wang; Yong Yu 001; Weinan Zhang 001 (CoRR, 2024)

CodePRM: Execution Feedback-enhanced Process Reward Model for Code Generation. - Qingyao Li; Xinyi Dai; Xiangyang Li; Weinan Zhang 001; Yasheng Wang; Ruiming Tang; Yong Yu 001 (ACL (Findings), 2025)

LLM4CD: Leveraging Large Language Models for Open-World Knowledge Augmented Cognitive Diagnosis. - Weiming Zhang; Lingyue Fu; Qingyao Li; Kounianhua Du; Jianghao Lin; Jingwei Yu; Wei Xia 001; Weinan Zhang 001; Ruiming Tang; Yong Yu 001 (CoRR, 2025)

NL-Debugging: Exploiting Natural Language as an Intermediate Representation for Code Debugging. - Weiming Zhang; Qingyao Li; Xinyi Dai; Jizheng Chen; Kounianhua Du; Weinan Zhang 001; Weiwen Liu; Yasheng Wang; Ruiming Tang; Yong Yu 001 (CoRR, 2025)