% Publications of Tiesunlong Shen
% Generated from https://tiesunlong.github.io/publications/

@inproceedings{zhang2026flowsteer,
  title         = {{FlowSteer: Towards Agents Designing Agentic Workflows via Reinforced Progressive Canvas Editing}},
  author        = {Mingda Zhang and Wenjin Liu and Tiesunlong Shen and Qika Lin and Rui Mao and Erik Cambria and Xiaoying Tang and Haoran Luo},
  booktitle     = {Advances in Neural Information Processing Systems 39 (NeurIPS 2026)},
  year          = {2026},
  eprint        = {2602.01664},
  archivePrefix = {arXiv},
  url           = {http://flowsteer.org/},
  note          = {Accepted}
}

@inproceedings{zhou2026metapath,
  title         = {{Reasoning through Evolution: Automatic Meta-path Discovery for LLM-based Fake News Detection}},
  author        = {Ziyi Zhou and Xiaoming Zhang and Hui Pang and Yuting Zhang and Tiesunlong Shen and Bingyu Yan and Erik Cambria and Litian Zhang},
  booktitle     = {Proceedings of the 34th ACM International Conference on Multimedia (MM '26)},
  year          = {2026},
  eprint        = {2609.18597},
  archivePrefix = {arXiv},
  note          = {Accepted}
}

@article{shen2026cgd,
  title         = {{Controllable Graph Diffusion for Community Search}},
  author        = {Tiesunlong Shen and Jin Wang and Liang-Chih Yu and Xuejie Zhang and Rui Mao and Erik Cambria},
  journal       = {Information Fusion, vol. 137, art. 104655},
  year          = {2026},
  volume        = {137},
  pages         = {104655},
  publisher     = {Elsevier BV},
  doi           = {10.1016/j.inffus.2026.104655},
  url           = {https://doi.org/10.1016/j.inffus.2026.104655}
}

@inproceedings{liu2026promptr1,
  title         = {{Prompt-R1: Collaborative Automatic Prompting Framework via End-to-end Reinforcement Learning}},
  author        = {Wenjin Liu and Haoran Luo and Xueyuan Lin and Haoming Liu and Tiesunlong Shen and Jiapu Wang and Rui Mao and Erik Cambria},
  booktitle     = {Findings of the Association for Computational Linguistics: ACL 2026, pp. 16260-16280},
  year          = {2026},
  pages         = {16260--16280},
  publisher     = {Association for Computational Linguistics},
  doi           = {10.18653/v1/2026.findings-acl.799},
  eprint        = {2511.01016},
  archivePrefix = {arXiv},
  url           = {https://aclanthology.org/2026.findings-acl.799.pdf}
}

@article{cambria2026senticnet9,
  title         = {{SenticNet 9: Generative Commonsense for Emotion AI via Conceptual Primitive Discovery and Time Shift Mechanism}},
  author        = {Erik Cambria and Rui Mao and Xulang Zhang and Luwei Xiao and Tiesunlong Shen and Avinash Anand},
  journal       = {IEEE Transactions on Computational Social Systems, vol. 13, no. 3, pp. 4086-4095},
  year          = {2026},
  volume        = {13},
  pages         = {4086--4095},
  publisher     = {Institute of Electrical and Electronics Engineers (IEEE)},
  doi           = {10.1109/TCSS.2026.3677113},
  url           = {https://doi.org/10.1109/TCSS.2026.3677113}
}

@inproceedings{shen2026llmdoctor,
  title         = {{LLMdoctor: Token-Level Flow-Guided Preference Optimization for Efficient Test-Time Alignment of Large Language Models}},
  author        = {Tiesunlong Shen and Rui Mao and Jin Wang and Heming Sun and Jian Zhang and Xuejie Zhang and Erik Cambria},
  booktitle     = {Proceedings of the AAAI Conference on Artificial Intelligence, vol. 40, no. 39 (AAAI-26), pp. 32920-32928},
  year          = {2026},
  volume        = {40},
  pages         = {32920--32928},
  publisher     = {Association for the Advancement of Artificial Intelligence (AAAI)},
  doi           = {10.1609/aaai.v40i39.40573},
  eprint        = {2601.10416},
  archivePrefix = {arXiv},
  url           = {https://ojs.aaai.org/index.php/AAAI/article/view/40573}
}

@article{pan2026multitask,
  title         = {{Multitask Reinforcement Learning with Metadata-Guided Adaptive Routing}},
  author        = {Rui Pan and Haoran Luo and Quan Yuan and Guiyang Luo and Jinglin Li and Tiesunlong Shen and Rui Mao and Erik Cambria},
  journal       = {Information Fusion, vol. 129, art. 104068},
  year          = {2026},
  volume        = {129},
  pages         = {104068},
  publisher     = {Elsevier BV},
  doi           = {10.1016/j.inffus.2025.104068},
  url           = {https://doi.org/10.1016/j.inffus.2025.104068}
}

@article{zhang2026gkgllm,
  title         = {{GKG-LLM: A Unified Framework for Generalized Knowledge Graph Construction}},
  author        = {Jian Zhang and Shihao Qi and Yuxuan Dong and Li Yuan and Tiesunlong Shen and Weiping Fu and Bifan Wei and Haiping Zhu and Jun Liu},
  journal       = {Information Fusion, vol. 128, art. 103956},
  year          = {2026},
  volume        = {128},
  pages         = {103956},
  publisher     = {Elsevier BV},
  doi           = {10.1016/j.inffus.2025.103956},
  url           = {https://doi.org/10.1016/j.inffus.2025.103956}
}

@misc{zhang2026scienceclaw,
  title         = {{ScienceClaw: Benchmarking Continual Self-Evolution of AI-for-Science Agents Across the Natural and Social Sciences}},
  author        = {Mingda Zhang and Wenjin Liu and Tiesunlong Shen and Zikai Xiao and Zhenghong Lin and Qing Xu and Erik Cambria and Xiaoying Tang and Haoran Luo},
  howpublished  = {arXiv preprint arXiv:2610.08691},
  year          = {2026},
  eprint        = {2610.08691},
  archivePrefix = {arXiv}
}

@misc{zhang2026r2flow,
  title         = {{R²Flow: Recursive Self-Improvement via Recursive Skill Evolution}},
  author        = {Mingda Zhang and Qiang Huang and Yanjin Li and Zijia Wang and Qika Lin and Xiaoying Tang and Tiesunlong Shen},
  howpublished  = {arXiv preprint arXiv:2609.33867},
  year          = {2026},
  eprint        = {2609.33867},
  archivePrefix = {arXiv}
}

@misc{liu2026tiem,
  title         = {{TIEM: Temporal Integration of Hypergraph Evidence and Skill Memory for Event-Driven Financial Forecasting}},
  author        = {Wenjin Liu and Shen Pang and Chenxi Wang and Tiesunlong Shen and Jiajie He and Zhe Cui and Xiaobao Wu and Anh Tuan Luu and Haoran Luo},
  howpublished  = {arXiv preprint arXiv:2608.13024},
  year          = {2026},
  eprint        = {2608.13024},
  archivePrefix = {arXiv}
}

@misc{zhang2026skillflow,
  title         = {{SkillFlow: Flow-Driven Recursive Skill Evolution for Agentic Orchestration}},
  author        = {Mingda Zhang and Tiesunlong Shen and Haoran Luo and Wenjin Liu and Zikai Xiao and Erik Cambria and Xiaoying Tang},
  howpublished  = {arXiv preprint arXiv:2605.14089},
  year          = {2026},
  eprint        = {2605.14089},
  archivePrefix = {arXiv}
}

@misc{zou2026aflow,
  title         = {{Affective Flow Language Model for Emotional Support Conversation}},
  author        = {Chenghui Zou and Ning Wang and Tiesunlong Shen and Luwei Xiao and Chuan Ma and Xiangpeng Li and Rui Mao and Erik Cambria},
  howpublished  = {arXiv preprint arXiv:2602.08826},
  year          = {2026},
  eprint        = {2602.08826},
  archivePrefix = {arXiv}
}

@inproceedings{ye2025resikgmamba,
  title         = {{ResiKG-Mamba: Knowledge-Guided Hypergraph-Mamba with Residue-Level Pretrained Embeddings for TCR-Epitope Recognition}},
  author        = {Fei Ye and Mao Chen and Xiang Zhang and Tiesunlong Shen and Yixuan Huang and Ruihao Zhang and Xiao Liu},
  booktitle     = {2025 IEEE International Conference on Bioinformatics and Biomedicine (BIBM), pp. 6307-6314},
  year          = {2025},
  pages         = {6307--6314},
  publisher     = {IEEE},
  doi           = {10.1109/BIBM66473.2025.11355984},
  url           = {https://doi.org/10.1109/BIBM66473.2025.11355984}
}

@inproceedings{shen2025sigir,
  title         = {{Flow-guided Direct Preference Optimization for Knowledge Graph Reasoning with Trees}},
  author        = {Tiesunlong Shen and Rui Mao and Jin Wang and Xuejie Zhang and Erik Cambria},
  booktitle     = {Proceedings of the 48th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR '25), pp. 1165-1175},
  year          = {2025},
  pages         = {1165--1175},
  publisher     = {ACM},
  doi           = {10.1145/3726302.3729980},
  url           = {https://doi.org/10.1145/3726302.3729980}
}

@inproceedings{shen2025icassp,
  title         = {{Hop-level Direct Preference Optimization for Knowledge Graph Reasoning with Trees}},
  author        = {Tiesunlong Shen and Jin Wang and Xuejie Zhang and Erik Cambria},
  booktitle     = {2025 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2025), pp. 1-5},
  year          = {2025},
  pages         = {1--5},
  publisher     = {IEEE},
  doi           = {10.1109/ICASSP49660.2025.10888261},
  url           = {https://doi.org/10.1109/ICASSP49660.2025.10888261}
}

@article{shen2025infofusion,
  title         = {{Insight at the Right Spot: Provide Decisive Subgraph Information to Graph LLM with Reinforcement Learning}},
  author        = {Tiesunlong Shen and Erik Cambria and Jin Wang and Yi Cai and Xuejie Zhang},
  journal       = {Information Fusion, vol. 117, art. 102860},
  year          = {2025},
  volume        = {117},
  pages         = {102860},
  publisher     = {Elsevier BV},
  doi           = {10.1016/j.inffus.2024.102860},
  url           = {https://doi.org/10.1016/j.inffus.2024.102860}
}

@inproceedings{shen2025coling,
  title         = {{Reasoning with Trees: Faithful Question Answering over Knowledge Graph}},
  author        = {Tiesunlong Shen and Jin Wang and Xuejie Zhang and Erik Cambria},
  booktitle     = {Proceedings of the 31st International Conference on Computational Linguistics (COLING 2025), pp. 3138-3157},
  year          = {2025},
  url           = {https://aclanthology.org/2025.coling-main.211.pdf}
}

@article{shen2025infosci,
  title         = {{Knowledge Distillation via Adaptive Meta-Learning for Graph Neural Network}},
  author        = {Tiesunlong Shen and Jin Wang and Xuejie Zhang},
  journal       = {Information Sciences, vol. 689, art. 121505},
  year          = {2025},
  volume        = {689},
  pages         = {121505},
  publisher     = {Elsevier BV},
  doi           = {10.1016/j.ins.2024.121505},
  url           = {https://doi.org/10.1016/j.ins.2024.121505}
}

@article{shen2023applintel,
  title         = {{Graphs Get Personal: Learning Representation with Contextual Pretraining for Collaborative Filtering}},
  author        = {Tiesunlong Shen and You Zhang and Jin Wang and Xuejie Zhang},
  journal       = {Applied Intelligence, vol. 53, no. 24, pp. 30416-30430},
  year          = {2023},
  volume        = {53},
  pages         = {30416--30430},
  publisher     = {Springer Science and Business Media LLC},
  doi           = {10.1007/s10489-023-05144-9},
  url           = {https://doi.org/10.1007/s10489-023-05144-9}
}

@article{shen2023fcst,
  title         = {{Probabilistic Recommendation Model Integrating Personality Features}},
  author        = {Tiesunlong Shen and Xiaodong Fu and Kun Yue and Li Liu and Lijun Liu},
  journal       = {Journal of Frontiers of Computer Science and Technology (计算机科学与探索), vol. 17, no. 1, pp. 251-262},
  year          = {2023},
  volume        = {17},
  pages         = {251--262},
  doi           = {10.3778/j.issn.1673-9418.2106111},
  url           = {https://doi.org/10.3778/j.issn.1673-9418.2106111}
}