Prof. Mo Li is a Professor at the Department of Computer Science and Engineering, the Hong Kong University of Science and Technology (HKUST). Before joining HKUST in 2023, he was a Professor at Nanyang Technological University. Prof. Li has been internationally recognized for his research in wireless and mobile computing.

Proceedings of the 20th annual international conference on Mobile computing … How long to wait?: Predicting bus arrival time with mobile phone based participatory sensing. Proceedings of the 10th...

Prof. Mo Li is a Professor at the Department of Computer Science and Engineering, the Hong Kong University of Science and Technology (HKUST). Before joining HKUST in 2023, he was a Professor at Nanyang Technological University. Prof. Li has been internationally recognized for his research in wireless and mobile computing.

Faculty Profiles serves as a directory for the university community and the external stakeholders to better understand our faculty.

李默（Mo Li），男，IEEE Fellow，毕业于清华大学、香港科技大学，现任南洋理工大学计算机工程学院教授。 研究兴趣包括移动与无线计算、网络化传感系统、smart city and urban computing。

Regeneration function analysis of GmESR1 in transgenic soybean.

2025年3月21日 · Li Xun. Associate Professor. Department of Mathematical Economics and Mathematical Finance. Email: [email protected]. Phone : +86-27-68755339. PhD, Economics, University of Connecticut, USA...

Dr. Li Xun Research interests include: • Stochastic Controls • Mean- Field Forward- Backward Systems • Time- Inconsistency Control Problems with Financial Applications On-going GRF project Selling Financial Assets at the Best Time Abstract: A primary decision-making problem in financial investment practice is to determine the best time to ...

2025年1月14日 · 利用人类反馈对大型语言模型进行微调的一种流行技术，称为基于人类反馈的强化学习，简称 RLHF。 RLHF 中的 LLM 权重更新由用户对 LLM 生成的完成给予的奖励（反馈）驱动。 确定奖励是一项复杂的任务。 一种方法是让人类根据某些对齐指标评估模型的所有完成情况，例如确定输出是否有用。 此反馈是一个缩放量。 然后迭代更新 LLM 权重，以最大化从人类分类器获得的奖励。 获取人工反馈既耗时又费钱。 作为一种解决方法，可以训练另一个称为奖励 …

XU Guang-yao1, LI Hong-yuan1*, MO Xun-qiang2, MENG Wei-qing2 . 摘要： 外来植物入侵对全球生态系统构成严重威胁，尽管入侵植物的管理与控制取得了一定进展，但要恢复被入侵生态系统、完成管控目标仍存在问题。 本文对入侵植物管控成效的制约因素进行了综述，发现入侵植物管控过程中存在以下问题：（1）预防为主的管理原则不完全适用入侵管理；（2）入侵植物管理存在缺乏公众支持、生态责任主体单一及多头管理等缺陷；（3）入侵植物管理目标与社会管理目标 …