Tiesunlong Shen

According to our database, Tiesunlong Shen authored at least 15 papers between 2023 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2026

SenticNet 9: Generative Commonsense for Emotion AI via Conceptual Primitive Discovery and Time Shift Mechanism.

Erik Cambria, Rui Mao, Xulang Zhang, Luwei Xiao, Tiesunlong Shen, Avinash Anand

IEEE Trans. Comput. Soc. Syst., June, 2026

SkillFlow: Flow-Driven Recursive Skill Evolution for Agentic Orchestration.

Mingda Zhang, Tiesunlong Shen, Haoran Luo, Wenjin Liu, Zikai Xiao, Erik Cambria, Xiaoying Tang

CoRR, May, 2026

Affective Flow Language Model for Emotional Support Conversation.

Chenghui Zou, Ning Wang, Tiesunlong Shen, Luwei Xiao, Chuan Ma, Xiangpeng Li, Rui Mao, Erik Cambria

CoRR, February, 2026

FlowSteer: Interactive Agentic Workflow Orchestration via End-to-End Reinforcement Learning.

Mingda Zhang, Haoran Luo, Tiesunlong Shen, Qika Lin, Xiaoying Tang, Rui Mao, Erik Cambria

CoRR, February, 2026

GKG-LLM: A unified framework for generalized knowledge graph construction.

Jian Zhang, Shihao Qi, Yuxuan Dong, Li Yuan, Tiesunlong Shen, Weiping Fu, Bifan Wei, Haiping Zhu, Jun Liu

Inf. Fusion, 2026

Multitask reinforcement learning with metadata-guided adaptive routing.

Rui Pan, Haoran Luo, Quan Yuan, Guiyang Luo, Jinglin Li, Tiesunlong Shen, Rui Mao, Erik Cambria

Inf. Fusion, 2026

LLMdoctor: Token-Level Flow-Guided Preference Optimization for Efficient Test-Time Alignment of Large Language Models.

Tiesunlong Shen, Rui Mao, Jin Wang, Heming Sun, Jian Zhang, Xuejie Zhang, Erik Cambria

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025

Prompt-R1: Collaborative Automatic Prompting Framework via End-to-end Reinforcement Learning.

Wenjin Liu, Haoran Luo, Xueyuan Lin, Haoming Liu, Tiesunlong Shen, Jiapu Wang, Rui Mao, Erik Cambria

CoRR, November, 2025

Knowledge distillation via adaptive meta-learning for graph neural network.

Tiesunlong Shen, Jin Wang, Xuejie Zhang

Inf. Sci., 2025

Insight at the right spot: Provide decisive subgraph information to Graph LLM with reinforcement learning.

Tiesunlong Shen, Erik Cambria, Jin Wang, Yi Cai, Xuejie Zhang

Inf. Fusion, 2025

Flow-guided Direct Preference Optimization for Knowledge Graph Reasoning with Trees.

Tiesunlong Shen, Rui Mao, Jin Wang, Xuejie Zhang, Erik Cambria

Proceedings of the 48th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2025

Hop-level Direct Preference Optimization for Knowledge Graph Reasoning with Trees.

Tiesunlong Shen, Jin Wang, Xuejie Zhang, Erik Cambria

Proceedings of the 2025 IEEE International Conference on Acoustics, 2025

Reasoning with Trees: Faithful Question Answering over Knowledge Graph.

Tiesunlong Shen, Jin Wang, Xuejie Zhang, Erik Cambria

Proceedings of the 31st International Conference on Computational Linguistics, 2025

ResiKG-Mamba: Knowledge-Guided Hypergraph-Mamba with Residue-Level Pretrained Embeddings for TCR-Epitope Recognition.

Fei Ye, Mao Chen, Xiang Zhang, Tiesunlong Shen, Yixuan Huang, Ruihao Zhang, Xiao Liu

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2025

2023

Graphs get personal: learning representation with contextual pretraining for collaborative filtering.

Tiesunlong Shen, You Zhang, Jin Wang, Xuejie Zhang

Appl. Intell., December, 2023