13 citations · 15 across the 7 of their papers we have counts for
7 papers
Beyond Independent Optimization: Compression, MoE Routing, and Quantization Interactions in Multimodal Edge Intelligence
Jay Gor, Karm Dave, Akshita Abrol +3
Efficient multimodal inference is increasingly constrained not only by model quality or FLOP count, but also by the cost of preserving, moving, routing, caching, and quantizing mul…
Enhancing Scientific Visual Question Answering via Vision-Caption aware Supervised Fine-Tuning
Janak Kapuriya, Anwar Shaikh, Arnav Goel +8
In this study, we introduce Vision-Caption aware Supervised FineTuning (VCASFT), a novel learning paradigm designed to enhance the performance of smaller Vision Language Models(VLM…
Nutrition Estimation for Dietary Management: A Transformer Approach with Depth Sensing
Zhengyi Kwan, Wei Zhang, Zhengkui Wang +2
Nutrition estimation is crucial for effective dietary management and overall health and well-being. Existing methods often struggle with sub-optimal accuracy and can be time-consum…
Towards Coarse and Fine-grained Multi-Graph Multi-Label Learning
Yejiang Wang, Yuhai Zhao, Zhengkui Wang +1
Multi-graph multi-label learning (\textsc{Mgml}) is a supervised learning framework, which aims to learn a multi-label classifier from a set of labeled bags each containing a numbe…
VCExplorer: A Interactive Graph Exploration Framework Based on Hub Vertices with Graph Consolidation
Huiju Wang, Zhengkui Wang, Kian-Lee Tan +3
Graphs have been widely used to model different information networks, such as the Web, biological networks and social networks (e.g. Twitter). Due to the size and complexity of the…
Supporting Window Analytics over Large-scale Dynamic Graphs
Qi Fan, Zhengkui Wang, Chee-Yong Chan +1
In relational DBMS, window functions have been widely used to facilitate data analytics. Surprisingly, while similar concepts have been employed for graph analytics, there has been…
Scalable Data Cube Analysis over Big Data
Zhengkui Wang, Yan Chu, Kian-Lee Tan +3
Data cubes are widely used as a powerful tool to provide multidimensional views in data warehousing and On-Line Analytical Processing (OLAP). However, with increasing data sizes, i…