8 citations · 9 across the 8 of their papers we have counts for
9 papers
Wearable AR for Restorative Breaks: How Interactive Narrative Experiences Support Relaxation for Young Adults
Jindu Wang, Runze Cai, Shuchang Xu +4
Young adults often take breaks from screen-intensive work by consuming digital content on mobile phones, which undermines rest through visual fatigue and inactivity. We introduce a…
A Contact-Driven Framework for Manipulating in the Blind
Muhammad Suhail Saleem, Lai Yuan, Maxim Likhachev
Robots often face manipulation tasks in environments where vision is inadequate due to clutter, occlusions, or poor lighting--for example, reaching a shutoff valve at the back of a…
CUFG: Curriculum Unlearning Guided by the Forgetting Gradient
Jiaxing Miao, Liang Hu, Qi Zhang +2
As privacy and security take center stage in AI, machine unlearning, the ability to erase specific knowledge from models, has garnered increasing attention. However, existing metho…
FeynmanDD: Quantum Circuit Analysis with Classical Decision Diagrams
Ziyuan Wang, Bin Cheng, Longxiang Yuan +1
Applications of decision diagrams in quantum circuit analysis have been an active research area. Our work introduces FeynmanDD, a new method utilizing standard and multi-terminal d…
OmniGeo: Towards a Multimodal Large Language Models for Geospatial Artificial Intelligence
Long Yuan, Fengran Mo, Kaiyu Huang +6
The rapid advancement of multimodal large language models (LLMs) has opened new frontiers in artificial intelligence, enabling the integration of diverse large-scale data types suc…
The recurrence of groups inhibits the information spreading under higher-order interactions
Liang Yuan, Jiao Wu, Kesheng Xu +1
Modeling social systems as networks based on pairwise interactions between individuals offers valuable insights into the mechanisms underlying their dynamics. However, the majority…
ToMoE: Converting Dense Large Language Models to Mixture-of-Experts through Dynamic Structural Pruning
Shangqian Gao, Ting Hua, Reza Shirkavand +10
Large Language Models (LLMs) have demonstrated remarkable abilities in tackling a wide range of complex tasks. However, their huge computational and memory costs raise significant…
GITSR: Graph Interaction Transformer-based Scene Representation for Multi Vehicle Collaborative Decision-making
Xingyu Hu, Lijun Zhang, Dejian Meng +2
In this study, we propose GITSR, an effective framework for Graph Interaction Transformer-based Scene Representation for multi-vehicle collaborative decision-making in intelligent…
Is this pofma? Analysing public opinion and misinformation in a COVID-19 Telegram group chat
Lynnette Hui Xian Ng, Loke Jia Yuan
We analyse a Singapore-based COVID-19 Telegram group with more than 10,000 participants. First, we study the group's opinion over time, focusing on four dimensions: participation,…