Curriculum vitae

2026

1. Mingda Zhang, Wenjin Liu, Tiesunlong Shen^†, Qika Lin, Rui Mao, Erik Cambria, Xiaoying Tang, Haoran Luo. FlowSteer: Towards Agents Designing Agentic Workflows via Reinforced Progressive Canvas Editing. Advances in Neural Information Processing Systems 39 (NeurIPS 2026), 2026accepted
2. Ziyi Zhou, Xiaoming Zhang^†, Hui Pang, Yuting Zhang, Tiesunlong Shen, Bingyu Yan, Erik Cambria, Litian Zhang. Reasoning through Evolution: Automatic Meta-path Discovery for LLM-based Fake News Detection. Proceedings of the 34th ACM International Conference on Multimedia (MM '26), 2026accepted
3. Tiesunlong Shen, Jin Wang^†, Liang-Chih Yu^†, Xuejie Zhang, Rui Mao, Erik Cambria. Controllable Graph Diffusion for Community Search. Information Fusion, vol. 137, art. 104655, 2026
4. Wenjin Liu, Haoran Luo^†, Xueyuan Lin, Haoming Liu^†, Tiesunlong Shen, Jiapu Wang, Rui Mao, Erik Cambria. Prompt-R1: Collaborative Automatic Prompting Framework via End-to-end Reinforcement Learning. Findings of the Association for Computational Linguistics: ACL 2026, pp. 16260-16280, 2026
5. Erik Cambria, Rui Mao, Xulang Zhang, Luwei Xiao, Tiesunlong Shen, Avinash Anand. SenticNet 9: Generative Commonsense for Emotion AI via Conceptual Primitive Discovery and Time Shift Mechanism. IEEE Transactions on Computational Social Systems, vol. 13, no. 3, pp. 4086-4095, 2026
6. Tiesunlong Shen, Rui Mao, Jin Wang^†, Heming Sun, Jian Zhang, Xuejie Zhang, Erik Cambria. LLMdoctor: Token-Level Flow-Guided Preference Optimization for Efficient Test-Time Alignment of Large Language Models. Proceedings of the AAAI Conference on Artificial Intelligence, vol. 40, no. 39 (AAAI-26), pp. 32920-32928, 2026
7. Rui Pan, Haoran Luo, Quan Yuan, Guiyang Luo, Jinglin Li, Tiesunlong Shen, Rui Mao, Erik Cambria. Multitask Reinforcement Learning with Metadata-Guided Adaptive Routing. Information Fusion, vol. 129, art. 104068, 2026
8. Jian Zhang, Shihao Qi, Yuxuan Dong, Li Yuan, Tiesunlong Shen, Weiping Fu, Bifan Wei, Haiping Zhu, Jun Liu. GKG-LLM: A Unified Framework for Generalized Knowledge Graph Construction. Information Fusion, vol. 128, art. 103956, 2026

2025

9. Fei Ye, Mao Chen, Xiang Zhang, Tiesunlong Shen, Yixuan Huang, Ruihao Zhang, Xiao Liu. ResiKG-Mamba: Knowledge-Guided Hypergraph-Mamba with Residue-Level Pretrained Embeddings for TCR-Epitope Recognition. 2025 IEEE International Conference on Bioinformatics and Biomedicine (BIBM), pp. 6307-6314, 2025
10. Tiesunlong Shen, Rui Mao^†, Jin Wang, Xuejie Zhang, Erik Cambria. Flow-guided Direct Preference Optimization for Knowledge Graph Reasoning with Trees. Proceedings of the 48th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR '25), pp. 1165-1175, 2025
11. Tiesunlong Shen, Jin Wang, Xuejie Zhang, Erik Cambria. Hop-level Direct Preference Optimization for Knowledge Graph Reasoning with Trees. 2025 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2025), pp. 1-5, 2025
12. Tiesunlong Shen, Erik Cambria, Jin Wang^†, Yi Cai, Xuejie Zhang. Insight at the Right Spot: Provide Decisive Subgraph Information to Graph LLM with Reinforcement Learning. Information Fusion, vol. 117, art. 102860, 2025
13. Tiesunlong Shen, Jin Wang, Xuejie Zhang, Erik Cambria. Reasoning with Trees: Faithful Question Answering over Knowledge Graph. Proceedings of the 31st International Conference on Computational Linguistics (COLING 2025), pp. 3138-3157, 2025
14. Tiesunlong Shen, Jin Wang, Xuejie Zhang. Knowledge Distillation via Adaptive Meta-Learning for Graph Neural Network. Information Sciences, vol. 689, art. 121505, 2025

2023

15. Tiesunlong Shen, You Zhang, Jin Wang, Xuejie Zhang. Graphs Get Personal: Learning Representation with Contextual Pretraining for Collaborative Filtering. Applied Intelligence, vol. 53, no. 24, pp. 30416-30430, 2023
16. Tiesunlong Shen, Xiaodong Fu^†, Kun Yue, Li Liu, Lijun Liu. Probabilistic Recommendation Model Integrating Personality Features. Journal of Frontiers of Computer Science and Technology (计算机科学与探索), vol. 17, no. 1, pp. 251-262, 2023

Preprints

17. Mingda Zhang, Wenjin Liu, Tiesunlong Shen, Zikai Xiao, Zhenghong Lin, Qing Xu, Erik Cambria, Xiaoying Tang, Haoran Luo. ScienceClaw: Benchmarking Continual Self-Evolution of AI-for-Science Agents Across the Natural and Social Sciences. arXiv preprint arXiv:2610.08691, 2026
18. Mingda Zhang, Qiang Huang, Yanjin Li, Zijia Wang, Qika Lin, Xiaoying Tang, Tiesunlong Shen. R²Flow: Recursive Self-Improvement via Recursive Skill Evolution. arXiv preprint arXiv:2609.33867, 2026
19. Wenjin Liu, Shen Pang, Chenxi Wang, Tiesunlong Shen, Jiajie He, Zhe Cui, Xiaobao Wu, Anh Tuan Luu, Haoran Luo. TIEM: Temporal Integration of Hypergraph Evidence and Skill Memory for Event-Driven Financial Forecasting. arXiv preprint arXiv:2608.13024, 2026
20. Mingda Zhang, Tiesunlong Shen, Haoran Luo, Wenjin Liu, Zikai Xiao, Erik Cambria, Xiaoying Tang. SkillFlow: Flow-Driven Recursive Skill Evolution for Agentic Orchestration. arXiv preprint arXiv:2605.14089, 2026
21. Chenghui Zou, Ning Wang, Tiesunlong Shen, Luwei Xiao, Chuan Ma, Xiangpeng Li, Rui Mao, Erik Cambria. Affective Flow Language Model for Emotional Support Conversation. arXiv preprint arXiv:2602.08826, 2026