Te Sun

According to our database, Te Sun authored at least 12 papers between 2019 and 2026.

Collaborative distances:

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

2026

StreamMeCo: Long-Term Agent Memory Compression for Efficient Streaming Video Understanding.

Junxi Wang, Te Sun, Jiayi Zhu, Junxian Li, Haowen Xu, Zichen Wen, Xuming Hu, Zhiyu Li, Linfeng Zhang

CoRR, April, 2026

Evolving Beyond Snapshots: Harmonizing Structure and Sequence via Entity State Tuning for Temporal Knowledge Graph Forecasting.

Siyuan Li, Yunjia Wu, Yiyong Xiao, Pingyang Huang, Peize Li, Ruitong Liu, Yan Wen, Te Sun, Fangyi Pei

CoRR, February, 2026

2025

Semantic-Condition Tuning: Fusing Graph Context with Large Language Models for Knowledge Graph Completion.

Ruitong Liu, Yan Wen, Te Sun, Yunjia Wu, Pingyang Huang, Zihang Yu, Siyuan Li

CoRR, October, 2025

Context-Driven Knowledge Graph Completion with Semantic-Aware Relational Message Passing.

Siyuan Li, Ruitong Liu, Yan Wen, Te Sun

CoRR, June, 2025

Flow-Modulated Scoring for Semantic-Aware Knowledge Graph Completion.

Siyuan Li, Ruitong Liu, Yan Wen, Te Sun

CoRR, June, 2025

Optimizing Symbolic Execution Path Exploration with a Transfer Learning-Based Strategy.

Te Sun, Dongqing Zhu, Lianying He, Dalin Zhang

Int. J. Comput. Commun. Control, 2025

Context-Driven Knowledge Graph Completion with Semantic-Aware Relational Message Passing.

Siyuan Li, Ruitong Liu, Te Sun, Yan Wen, Ruihao Zhou, Jingyi Kang, Yunjia Wu

Proceedings of the Neural Information Processing - 32nd International Conference, 2025

Multimodal Tactile Feedback System for Ankle and Knee Protection during Physical Exercise: A Ubiquitous Computing Approach.

Yibo Meng, Zhiming Liu, Siyuan Li, Te Sun

Proceedings of the Companion of the 2025 ACM International Joint Conference on Pervasive and Ubiquitous Computing, 2025

2021

Efficient State Representation Learning for Dynamic Robotic Scenarios.

Zhaorun Chen, Liang Gong, Te Sun, Binhao Chen, Shenghan Xie, David Filliat, Natalia Díaz Rodríguez

CoRR, 2021

2020

Exploration-efficient Deep Reinforcement Learning with Demonstration Guidance for Robot Control.

Ke Lin, Liang Gong, Xudong Li, Te Sun, Binhao Chen, Chengliang Liu, Zhengfeng Zhang, Jian Pu, Junping Zhang

CoRR, 2020

2019

DisCoRL: Continual Reinforcement Learning via Policy Distillation.

René Traoré, Hugo Caselles-Dupré, Timothée Lesort, Te Sun, Guanghang Cai, Natalia Díaz Rodríguez, David Filliat

CoRR, 2019

Continual Reinforcement Learning deployed in Real-life using Policy Distillation and Sim2Real Transfer.

René Traoré, Hugo Caselles-Dupré, Timothée Lesort, Te Sun, Natalia Díaz Rodríguez, David Filliat

CoRR, 2019