Partial Relationship Aware Influence Diffusion via a Multi-channel Encoding Scheme for Social Recommendation. - Bo Jin 001; Ke Cheng 003; Liang Zhang 031; Yanjie Fu; Minghao Yin; Lu Jiang 007 (CIKM, 2020)

Simplifying Reinforced Feature Selection via Restructured Choice Strategy of Single Agent. - Xiaosa Zhao; Kunpeng Liu 001; Wei Fan 010; Lu Jiang 007; Xiaowei Zhao 004; Minghao Yin; Yanjie Fu (ICDM, 2020)

Incremental Mobile User Profiling: Reinforcement Learning with Spatial Knowledge Graph for Modeling Event Streams. - Pengyang Wang; Kunpeng Liu 001; Lu Jiang 007; Xiaolin Li; Yanjie Fu (KDD, 2020)

Local search for diversified Top-k clique search problem. - Jun Wu 020; Chu-Min Li 001; Lu Jiang 007; Junping Zhou; Minghao Yin (Comput. Oper. Res., 2020)

Augmenting Personalized Question Recommendation with Hierarchical Information for Online Test Platform. - Lu Jiang 007; Wanfei Zhang; Yibin Wang 007; Na Luo; Lin Yue (ADMA, 2021)

Heterogeneous Graph Convolutional Network integrates Multi-modal Similarities for Drug-Target Interaction Prediction. - Lu Jiang 007; Jiahao Sun; Yue Wang; Qiao Ning; Na Luo; Minghao Yin (BIBM, 2021)

EduHawkes: A Neural Hawkes Process Approach for Online Study Behavior Modeling. - Lu Jiang 007; Pengyang Wang; Ke Cheng 003; Kunpeng Liu 001; Minghao Yin; Bo Jin 001; Yanjie Fu (SDM, 2021)

A Multi-Source Information Learning Framework for Airbnb Price Prediction. - Lu Jiang 007; Yuanhan Li; Na Luo; Jianan Wang; Qiao Ning (ICDM (Workshops), 2022)

Streaming Traffic Flow Prediction Based on Continuous Reinforcement Learning. - Yanan Xiao; Minyu Liu; Zichen Zhang 014; Lu Jiang 007; Minghao Yin; Jianan Wang (ICDM (Workshops), 2022)

Identifying drug-target interactions via heterogeneous graph attention networks combined with cross-modal similarities. - Lu Jiang 007; Jiahao Sun; Yue Wang; Qiao Ning; Na Luo; Minghao Yin (Briefings Bioinform., 2022)

Multi-View MOOC Quality Evaluation via Information-Aware Graph Representation Learning. - Lu Jiang 007; Yibin Wang 007; Jianan Wang; Pengyang Wang; Minghao Yin (AAAI, 2023)

Reinforced Explainable Knowledge Concept Recommendation in MOOCs. - Lu Jiang 007; Kunpeng Liu 001; Yibin Wang 007; Dongjie Wang; Pengyang Wang; Yanjie Fu; Minghao Yin (ACM Trans. Intell. Syst. Technol., 2023)

Which courses to choose? recommending courses to groups of students in online tutoring platforms. - Lu Jiang 007; Yuqi Wang; Shasha Xie; Jun Wu 020; Minghao Yin; Jianan Wang (Appl. Intell., 2023)

Spatial-Temporal Interplay in Human Mobility: A Hierarchical Reinforcement Learning Approach with Hypergraph Representation. - Zhaofan Zhang; Yanan Xiao; Lu Jiang 007; Dingqi Yang; Minghao Yin; Pengyang Wang (AAAI, 2024)

Towards Dynamic University Course Timetabling Problem: An Automated Approach Augmented via Reinforcement Learning. - Yanan Xiao; XiangLin Li; Lu Jiang 007; Pengfei Wang 008; Kaidi Wang; Na Luo (ICDM, 2024)

Hierarchical Reinforcement Learning on Multi-Channel Hypergraph Neural Network for Course Recommendation. - Lu Jiang 007; Yanan Xiao; Xinxin Zhao; Yuanbo Xu; Shuli Hu; Pengyang Wang; Minghao Yin (IJCAI, 2024)

Hierarchical Reinforcement Learning for Point of Interest Recommendation. - Yanan Xiao; Lu Jiang 007; Kunpeng Liu 001; Yuanbo Xu; Pengyang Wang; Minghao Yin (IJCAI, 2024)

TFWT: Tabular Feature Weighting with Transformer. - Xinhao Zhang 001; Zaitian Wang; Lu Jiang 007; Wanfu Gao; Pengfei Wang 008; Kunpeng Liu 001 (IJCAI, 2024)

Is Precise Recovery Necessary? A Task-Oriented Imputation Approach for Time Series Forecasting on Variable Subset. - Qi Hao 001; Runchang Liang; Yue Gao 015; Hao Dong 010; Wei Fan 010; Lu Jiang 007; Pengyang Wang (CoRR, 2024)

RATT: A Thought Structure for Coherent and Correct LLM Reasoning. - Jinghan Zhang 002; Xiting Wang; Weijieying Ren; Lu Jiang 007; Dongjie Wang; Kunpeng Liu 001 (AAAI, 2025)

Beyond Prompt Engineering: A Reinforced Token-Level Input Refinement for Large Language Models. - Guang Huang; Yanan Xiao; Lu Jiang 007; Minghao Yin; Pengyang Wang (AAAI, 2025)

Reducing AUV Energy Consumption Through Dynamic Sensor Directions Switching via Deep Reinforcement Learning. - Jiawei Liu; Yuanbo Xu; Shanshan Song; Lu Jiang 007 (AAAI, 2025)

DMHGNN: Double multi-view heterogeneous graph neural network framework for drug-target interaction prediction. - Qiao Ning; Yue Wang; Yaomiao Zhao; Jiahao Sun; Lu Jiang 007; Kaidi Wang; Minghao Yin (Artif. Intell. Medicine, 2025)