Zhi Li
7 أوراق في مجموعة PaperMetrix
أوراق هذا المؤلف
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A Review on Personalized Academic Paper Recommendation
2019 · Computer and Information Science
With the advent of the era of big data, it has become extremely easy for scientific users to have to access academic papers, which has enhanced their efficiency and capacity to search or browse papers. …
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A Formal description for robots understanding knowledge
2016
In the research field of robotics, as can be seen from the description of the classification of the robot, the autonomous robots should have their own knowledge.Generally, a robot's knowledge refers to the knowledge in …
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KuiLeiXi: a Chinese Open-Ended Text Adventure Game
2021
Yadong Xi, Xiaoxi Mao, Le Li, Lei Lin, Yanjiang Chen, Shuhan Yang, Xuhan Chen, Kailun Tao, Zhi Li, Gongzheng Li, Lin Jiang, Siyan Liu, Zeng Zhao, Minlie Huang, Changjie Fan, Zhipeng Hu. Proceedings of the …
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Specific Search Engine Identification Model Based on Improved TF-IDF and SVM
2022
Search engines have become one of the indispensable tools on the Internet. A specific search engine identification model can effectively identify the types of search engines. The model constructs website feature vectors according to the …
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Harnessing the Power of LLM to Support Binary Taint Analysis
2023 · arXiv (Cornell University)
This paper proposes LATTE, the first static binary taint analysis that is powered by a large language model (LLM). LATTE is superior to the state of the art (e.g., Emtaint, Arbiter, Karonte) in three aspects. …
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Promoting Machine Abilities of Discovering and Utilizing Knowledge in a Unified Zero-Shot Learning Paradigm
2024 · ACM Transactions on Knowledge Discovery from Data
Knowledge discovery and utilization are two essential cognitive processes that enable humans to understand the world and extract new insights from their surroundings. These processes have motivated machine learning studies, particularly zero-shot (ZS) learning, which …
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Learning from History and Present
2018
In the modern e-commerce, the behaviors of customers contain rich information, e.g., consumption habits, the dynamics of preferences. Recently, session-based recommendationsare becoming popular to explore the temporal characteristics of customers' interactive behaviors. However, existing works …