Graphs get personal: learning representation with contextual pretraining for collaborative filtering. - Tiesunlong Shen; You Zhang 002; Jin Wang 008; Xuejie Zhang 002 (Appl. Intell., 2023)

Reasoning with Trees: Faithful Question Answering over Knowledge Graph. - Tiesunlong Shen; Jin Wang 008; Xuejie Zhang 002; Erik Cambria (COLING, 2025)

Hop-level Direct Preference Optimization for Knowledge Graph Reasoning with Trees. - Tiesunlong Shen; Jin Wang 008; Xuejie Zhang 002; Erik Cambria (ICASSP, 2025)

Flow-guided Direct Preference Optimization for Knowledge Graph Reasoning with Trees. - Tiesunlong Shen; Rui Mao 010; Jin Wang 008; Xuejie Zhang 002; Erik Cambria (SIGIR, 2025)

Insight at the right spot: Provide decisive subgraph information to Graph LLM with reinforcement learning. - Tiesunlong Shen; Erik Cambria; Jin Wang 008; Yi Cai; Xuejie Zhang 002 (Inf. Fusion, 2025)

Knowledge distillation via adaptive meta-learning for graph neural network. - Tiesunlong Shen; Jin Wang 008; Xuejie Zhang 002 (Inf. Sci., 2025)