736 citations · 1.2k across the 23 of their papers we have counts for
24 papers
Comparing Spatial Navigation and Human Environment Interaction in Virtual Reality vs. Identical Real Environments across the Adult Lifespan
Saleh Kalantari, Bill Tong Xu, Armin Mostafavi +2
Virtual reality (VR) is increasingly being used as a research platform for investigating human responses to environmental variables. While VR provides tremendous advantages in term…
Visual Flow-based Programming Plugin for Brain Computer Interface in Computer-Aided Design
Tong Bill Xu, Saleh Kalantari
Over the last half century, the main application of Brain Computer Interfaces, BCIs has been controlling wheelchairs and neural prostheses or generating text or commands for people…
Assessing the Effects of Illuminance and Correlated Color Temperature on Emotional Responses and Lighting Preferences Using Virtual Reality
Armin Mostafavi, Tong Bill Xu, Saleh Kalantari
This paper presents a novel approach to assessing human lighting adjustment behavior and preference in diverse lighting conditions through the evaluation of emotional feedback and…
A Solution to CVPR'2023 AQTC Challenge: Video Alignment for Multi-Step Inference
Chao Zhang, Shiwei Wu, Sirui Zhao +2
Affordance-centric Question-driven Task Completion (AQTC) for Egocentric Assistant introduces a groundbreaking scenario. In this scenario, through learning instructional videos, AI…
Multi-Temporal Relationship Inference in Urban Areas
Shuangli Li, Jingbo Zhou, Ji Liu +3
Finding multiple temporal relationships among locations can benefit a bunch of urban applications, such as dynamic offline advertising and smart public transport planning. While so…
A Survey on Multimodal Large Language Models
Shukang Yin, Chaoyou Fu, Sirui Zhao +4
Recently, Multimodal Large Language Model (MLLM) represented by GPT-4V has been a new rising research hotspot, which uses powerful Large Language Models (LLMs) as a brain to perfor…
Social Context-aware GCN for Video Character Search via Scene-prior Enhancement
Wenjun Peng, Weidong He, Derong Xu +3
With the increasing demand for intelligent services of online video platforms, video character search task has attracted wide attention to support downstream applications like fine…
Quantum Neural Network for Quantum Neural Computing
Min-Gang Zhou, Zhi-Ping Liu, Hua-Lei Yin +3
Neural networks have achieved impressive breakthroughs in both industry and academia. How to effectively develop neural networks on quantum computing devices is a challenging open…
AU-aware graph convolutional network for Macro- and Micro-expression spotting
Shukang Yin, Shiwei Wu, Tong Xu +3
Automatic Micro-Expression (ME) spotting in long videos is a crucial step in ME analysis but also a challenging task due to the short duration and low intensity of MEs. When solvin…
Federated Nearest Neighbor Machine Translation
Yichao Du, Zhirui Zhang, Bingzhe Wu +3
To protect user privacy and meet legal regulations, federated learning (FL) is attracting significant attention. Training neural machine translation (NMT) models with traditional F…
A Contextual Master-Slave Framework on Urban Region Graph for Urban Village Detection
Congxi Xiao, Jingbo Zhou, Jizhou Huang +4
Urban villages (UVs) refer to the underdeveloped informal settlement falling behind the rapid urbanization in a city. Since there are high levels of social inequality and social ri…
Using Immersive Virtual Reality to Enhance Social Interaction among Older Adults: A Multi-site Study
Saleh Kalantari, Tong Bill Xu, Armin Mostafavi +4
Research examining older adults interactions with Virtual Reality (VR) and the impact of social VR experiences on outcomes such as social engagement has been limited, especially am…
Designing Virtual Environments for Social Engagement in Older Adults
Tong Bill Xu, Armin Mostafavi, Benjamin Kim +4
Virtual reality (VR) is increasingly used as a platform for social interaction, including as a means for older adults to maintain engagement. However, there has been limited resear…
Winning the CVPR'2022 AQTC Challenge: A Two-stage Function-centric Approach
Shiwei Wu, Weidong He, Tong Xu +2
Affordance-centric Question-driven Task Completion for Egocentric Assistant(AQTC) is a novel task which helps AI assistant learn from instructional videos and scripts and guide the…
Efficient Inference of Spatially-varying Gaussian Markov Random Fields with Applications in Gene Regulatory Networks
Visweswaran Ravikumar, Tong Xu, Wajd N. Al-Holou +2
In this paper, we study the problem of inferring spatially-varying Gaussian Markov random fields (SV-GMRF) where the goal is to learn a network of sparse, context-specific GMRFs re…
Using a Nature-based Virtual Reality Environment for Improving Mood States and Cognitive Engagement in Older Adults: A Mixed-method Feasibility Study
Saleh Kalantari, Tong Bill Xu, Armin Mostafavi +4
Engaging with natural environments and representations of nature has been shown to improve mood states and reduce cognitive decline in older adults. The current study evaluated the…
VIRT: Improving Representation-based Models for Text Matching through Virtual Interaction
Dan Li, Yang Yang, Hongyin Tang +4
With the booming of pre-trained transformers, representation-based models based on Siamese transformer encoders have become mainstream techniques for efficient text matching. Howev…
Structure-aware Interactive Graph Neural Networks for the Prediction of Protein-Ligand Binding Affinity
Shuangli Li, Jingbo Zhou, Tong Xu +6
Drug discovery often relies on the successful prediction of protein-ligand binding affinity. Recent advances have shown great promise in applying graph neural networks (GNNs) for b…
Is Heuristic Sampling Necessary in Training Deep Object Detectors?
Joya Chen, Dong Liu, Tong Xu +3
To train accurate deep object detectors under the extreme foreground-background imbalance, heuristic sampling methods are always necessary, which either re-sample a subset of all t…
Chinese Embedding via Stroke and Glyph Information: A Dual-channel View
Hanqing Tao, Shiwei Tong, Tong Xu +2
Recent studies have consistently given positive hints that morphology is helpful in enriching word embeddings. In this paper, we argue that Chinese word embeddings can be substanti…
MCNE: An End-to-End Framework for Learning Multiple Conditional Network Representations of Social Network
Hao Wang, Tong Xu, Qi Liu +5
Recently, the Network Representation Learning (NRL) techniques, which represent graph structure via low-dimension vectors to support social-oriented application, have attracted wid…
Enhancing Person-Job Fit for Talent Recruitment: An Ability-aware Neural Network Approach
Chuan Qin, Hengshu Zhu, Tong Xu +4
The wide spread use of online recruitment services has led to information explosion in the job market. As a result, the recruiters have to seek the intelligent ways for Person Job…
A Response-Function-Based Coordination Method for Transmission-Distribution-Coupled AC OPF
Zhengshuo Li, Qinglai Guo, Hongbin Sun +2
With distributed generation highly integrated into the grid, the transmission-distribution-coupled AC OPF (TDOPF) becomes increasingly important. This paper proposes a response-fun…
Measuring the Popularity of Job Skills in Recruitment Market: A Multi-Criteria Approach
Tong Xu, Hengshu Zhu, Chen Zhu +2
To cope with the accelerating pace of technological changes, talents are urged to add and refresh their skills for staying in active and gainful employment. This raises a natural q…