2 citations · 2 across the 4 of their papers we have counts for
5 papers
Towards Comprehensive Information-theoretic Multi-view Learning
Long Shi, Yunshan Ye, Wenjie Wang +4
Information theory has inspired numerous advancements in multi-view learning. Most multi-view methods incorporating information-theoretic principles rely an assumption called multi…
LiLIS: A Lightweight Distributed Learned Index Framework for Spatial Decision Analysis
Zhongpu Chen, Yikai Dong, Wanjun Hao
Spatial query and analysis results are often directly applied to decision-making processes such as facility location, proximity resource discovery, accessibility analysis, and risk…
MDEval: Evaluating and Enhancing Markdown Awareness in Large Language Models
Zhongpu Chen, Yinfeng Liu, Long Shi +3
Large language models (LLMs) are expected to offer structured Markdown responses for the sake of readability in web chatbots (e.g., ChatGPT). Although there are a myriad of metrics…
Tensor-based Graph Learning with Consistency and Specificity for Multi-view Clustering
Long Shi, Lei Cao, Yunshan Ye +2
In the context of multi-view clustering, graph learning is recognized as a crucial technique, which generally involves constructing an adaptive neighbor graph based on probabilisti…
Nonlinear subspace clustering by functional link neural networks
Long Shi, Lei Cao, Zhongpu Chen +2
Nonlinear subspace clustering based on a feed-forward neural network has been demonstrated to provide better clustering accuracy than some advanced subspace clustering algorithms.…