Indicator-Specific Recurrent Neural Networks with Co-teaching for Stock Trend Prediction. - Hongling Xu; Jingqian Zhao; Xiaoqi Yu; Yixue Dang; Yang Sun; Jianzhu Bao; Ruifeng Xu 001 (AIMS, 2022)

Stance Detection on Social Media with Background Knowledge. - Ang Li; Bin Liang 004; Jingqian Zhao; Bowen Zhang 005; Min Yang 007; Ruifeng Xu 001 (EMNLP, 2023)

Multi-modal Stance Detection: New Datasets and Model. - Bin Liang 004; Ang Li; Jingqian Zhao; Lin Gui 003; Min Yang 007; Yue Yu 001; Kam-Fai Wong; Ruifeng Xu 001 (ACL (Findings), 2024)

Mitigating Biases of Large Language Models in Stance Detection with Calibration. - Ang Li; Jingqian Zhao; Bin Liang 004; Lin Gui 003; Hui Wang 030; Xi Zeng; Kam-Fai Wong; Ruifeng Xu 001 (CoRR, 2024)

A flux weakening control algorithm for permanent magnet synchronous grinding electric spindle based on sliding mode controller. - Wentao Shan; Jidi Zhang; Zhenhua Han; Jingqian Zhao; Xin Wang (IEICE Electron. Express, 2024)

CoreEval: Automatically Building Contamination-Resilient Datasets with Real-World Knowledge toward Reliable LLM Evaluation. - Jingqian Zhao; Bingbing Wang; Geng Tu; Yice Zhang; Qianlong Wang; Bin Liang; Jing Li; Ruifeng Xu (ACL (1), 2025)

Mitigating Biases of Large Language Models in Stance Detection with Counterfactual Augmented Calibration. - Ang Li; Jingqian Zhao; Bin Liang 004; Lin Gui 003; Hui Wang 030; Xi Zeng; Xingwei Liang; Kam-Fai Wong; Ruifeng Xu 001 (NAACL (Long Papers), 2025)