Xilong Cheng (Hsi-lung Cheng)
Xilong Cheng received his Master’s degree from the School of Information and Communication Engineering, Communication University of China, in 2026, under the supervision of Yunxiao Qin. He currently works on multimodal large language models at Mininglamp Technology. He is also a remote visiting scholar with the X-NLP Lab at INSAIT, collaborating closely with Yuxia Wang. He is dedicated to making more intelligent, safer personalized AI accessible to more people.
His research interests include AI personalization, long-term memory, and learning from the real world through egocentric vision.
Publications
Personalization & Memory
-
TACL
Transactions of the Association for Computational Linguistics, 2026 -
arXiv
2026arXiv preprint -
arXiv
2026arXiv preprint -
ArcRole: Scene-Grounded Character Growth for Long-Horizon Role-Playing AgentsManuscriptPaper (not yet released) Code (not yet released) Weights (not yet released) -
AURA: Scope-Grounded Evidence Activation for Long-Term Conversational MemoryManuscriptPaper (not yet released) Code (not yet released) -
HiTaC-Mem: Enhancing Temporal and Causal Reasoning in Grounded LLM Systems with Hierarchical Graph MemoryManuscriptPaper (not yet released) Code (not yet released) -
arXiv
-
Survey
Egocentric Learning
-
CVPR 2026
In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2026
Other Research
-
EMNLP Main 2026
In Proceedings of the Conference on Empirical Methods in Natural Language Processing (Main Conference), 2026Paper Code (not yet released) -
ESWA
Meta-Tuner: Meta-Trained Node-Specific Transformations for Graph Few-Shot Class-Incremental LearningExpert Systems with Applications, 2025 -
IEEE SPL
IEEE Signal Processing Letters
* Equal contribution · † Corresponding author · § Project leader. Gray buttons indicate resources that have not yet been released. I plan to release resources for all accepted papers together as soon as possible. My recent heavy workload has delayed these releases.
Experience
Large Language Model Algorithm Engineer
Mininglamp Technology · Full-time
Reporting directly to @Chenxu Zhao (VP).
– Present
Post-training and capability optimization for Computer Use Agents (CUA).
Large Language Model Algorithm Engineer
Alibaba Group · Internship
–
Continual pre-training (CPT) of large language models for applications.
Research Assistant
Chinese Academy of Sciences · Internship
–
Algorithm optimization.
Education
-
🎓 M.S. in Information & Communication Engineering, 2023–2026
Communication University of China · Advisor: Yunxiao Qin -
🎓 B.S. in Information & Communication Engineering, 2018–2022
Communication University of China
Interests
Beyond my academic focus on Large Language Models and Role-Playing Language Agents, I also have a strong passion for sports, particularly football and, more recently, tennis. While I see sports as an essential form of relaxation, I equally enjoy streaming media and reading literature on modern psychology, which help me unwind and broaden my perspective.