Optimize Recommendation System with Topic Modeling and Clustering. - Qianqiao Liang; Xiaolin Zheng; Menghan Wang; Haodong Chen; Pin Lu (ICEBE, 2017)

Adaptive Portfolio by Solving Multi-armed Bandit via Thompson Sampling. - Mengying Zhu; Xiaolin Zheng; Yan Wang 002; Yuyuan Li; Qianqiao Liang (CoRR, 2019)

Online Portfolio Selection with Cardinality Constraint and Transaction Costs based on Contextual Bandit. - Mengying Zhu; Xiaolin Zheng; Yan Wang 002; Qianqiao Liang; Wenfang Zhang (IJCAI, 2020)

An Adaptive News-Driven Method for CVaR-sensitive Online Portfolio Selection in Non-Stationary Financial Markets. - Qianqiao Liang; Mengying Zhu; Xiaolin Zheng; Yan Wang 002 (IJCAI, 2021)

A trust-aware latent space mapping approach for cross-domain recommendation. - Guofang Ma; Yuexuan Wang; Xiaolin Zheng; Xiaoye Miao; Qianqiao Liang (Neurocomputing, 2021)

O3ERS: An explainable recommendation system with online learning, online recommendation, and online explanation. - Qianqiao Liang; Xiaolin Zheng; Yan Wang 002; Mengying Zhu (Inf. Sci., 2021)

A Smart Trader for Portfolio Management based on Normalizing Flows. - Mengyuan Yang 002; Xiaolin Zheng; Qianqiao Liang; Bing Han; Mengying Zhu (IJCAI, 2022)

WISE: Wavelet based Interpretable Stock Embedding for Risk-Averse Portfolio Management. - Mengying Zhu; Yan Wang 002; Fei Wu 001; Mengyuan Yang 002; Cheng Chen 023; Qianqiao Liang; Xiaolin Zheng (WWW (Companion Volume), 2022)

Positive Distribution Pollution: Rethinking Positive Unlabeled Learning from a Unified Perspective. - Qianqiao Liang; Mengying Zhu; Yan Wang 002; Xiuyuan Wang 002; Wanjia Zhao; Mengyuan Yang 002; Hua Wei; Bing Han; Xiaolin Zheng (AAAI, 2023)

Spotlight News Driven Quantitative Trading Based on Trajectory Optimization. - Mengyuan Yang 002; Mengying Zhu; Qianqiao Liang; Xiaolin Zheng; Menghan Wang (IJCAI, 2023)

Exploring financially constrained small- and medium-sized enterprises based on a multi-relation translational graph attention network. - Qianqiao Liang; Hua Wei; Yaxi Wu; Feng Wei; Deng Zhao; Jianshan He; Xiaolin Zheng; Guofang Ma; Bing Han (Frontiers Inf. Technol. Electron. Eng., 2023)

Towards Open-World Cross-Domain Sequential Recommendation: A Model-Agnostic Contrastive Denoising Approach. - Wujiang Xu; Xuying Ning; Wenfang Lin; Mingming Ha; Qiongxu Ma; Qianqiao Liang; Xuewen Tao; Linxun Chen; Bing Han; Minnan Luo (ECML/PKDD (1), 2024)

Integrating Large Language Models with Graphical Session-Based Recommendation. - Naicheng Guo; Hongwei Cheng; Qianqiao Liang; Linxun Chen; Bing Han (CoRR, 2024)

SPIN: Sparse Portfolio Strategy With Irregular News in Fluctuating Markets. - Mengying Zhu; Mengyuan Yang 002; Yan Wang 002; Fei Wu 001; Qianqiao Liang; Chaochao Chen 001; Hua Wei; Xiaolin Zheng (IEEE Trans. Knowl. Data Eng., 2025)