A Case Study of Online Retail Innovation System on Alibaba Taobao. - Yongquan Hu; Shukun Zhao (ICEE, 2010)

An application of a theorem of Emerton to mod p representations of GL 2. - Yongquan Hu (J. Lond. Math. Soc., 2017)

SDM: Semantic Distortion Measurement for Video Encryption. - Yongquan Hu; Wei Zhou 021; Shuxin Zhao; Zhibo Chen 001; Weiping Li (FG, 2018)

How do you Perceive Differently from an AI - A Database for Semantic Distortion Measurement. - Shuxin Zhao; Jiahua Xu 001; Yongquan Hu; Wei Zhou 021; Sen Liu 001; Zhibo Chen 001 (ISCAS, 2019)

CBFS: A Clustering-Based Feature Selection Mechanism for Network Anomaly Detection. - Jiewen Mao; Yongquan Hu; Dong Jiang; Tongquan Wei; Fuke Shen (IEEE Access, 2020)

Auth+Track: Enabling Authentication Free Interaction on Smartphone by Continuous User Tracking. - Chen Liang; Chun Yu; Xiaoying Wei; Xuhai Xu; Yongquan Hu; Yuntao Wang 001; Yuanchun Shi (CHI, 2021)

Towards On-the-wall Tangible Interaction: Using Walls as Interactive, Dynamic, and Responsive User Interface. - Zeyu Yan; Anup Sathya; Pedro Carvalho; Yongquan Hu; Annan Li; Huaishu Peng (CHI Extended Abstracts, 2021)

FootUI: Designing and Detecting Foot Gestures to Assist People with Upper Body Motor Impairments to Use Smartphones on the Bed. - Xiaozhu Hu; Jiting Wang; Weiwei Gao; Yongquan Hu (ASSETS, 2022)

Towards Using Generative AI for Facilitating Image Creation in Spatial Augmented Reality. - Yongquan Hu; Wen Hu 001; Aaron Quigley (ISMAR-Adjunct, 2023)

SmartRecorder: An IMU-based Video Tutorial Creation by Demonstration System for Smartphone Interaction Tasks. - Xiaozhu Hu; Yanwen Huang; Bo Liu 091; Ruolan Wu; Yongquan Hu; Aaron J. Quigley; Mingming Fan 001; Chun Yu; Yuanchun Shi (IUI, 2023)

Exploring the Adaptation of Mobile GUI to Human Motion Status. - Yongquan Hu; Zhaocheng Xiang; Lihang Pan; Xiaozhu Hu; Yinshuai Zhang; Aaron J. Quigley (IUI Companion, 2023)

GenAIR: Exploring Design Factor of Employing Generative AI for Augmented Reality. - Yongquan Hu; Dawen Zhang; Aaron Quigley (SUI, 2023)

RadarFoot: Fine-grain Ground Surface Context Awareness for Smart Shoes. - Don Samitha Elvitigala; Yunfan Wang; Yongquan Hu; Aaron J. Quigley (UIST, 2023)

Exploring the Design Space of Employing AI-Generated Content for Augmented Reality Display. - Yongquan Hu; Mingyue Yuan; Kaiqi Xian; Don Samitha Elvitigala; Aaron Quigley (CoRR, 2023)

Test-takers have a say: understanding the implications of the use of AI in language tests. - Dawen Zhang; Thong Hoang; Shidong Pan; Yongquan Hu; Zhenchang Xing; Mark Staples; Xiwei Xu 001; Qinghua Lu 001; Aaron Quigley (CoRR, 2023)

AcademicGPT: Empowering Academic Research. - Shufa Wei; Xiaolong Xu 002; Xianbiao Qi; Xi Yin 010; Jun Xia; Jingyi Ren; Peijun Tang; Yuxiang Zhong; Yihao Chen; Xiaoqin Ren; Yuxin Liang; Liankai Huang; et al. (CoRR, 2023)

MicroCam: Leveraging Smartphone Microscope Camera for Context-Aware Contact Surface Sensing. - Yongquan Hu; Hui-Shyong Yeo; Mingyue Yuan; Haoran Fan; Don Samitha Elvitigala; Wen Hu 001; Aaron Quigley (Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2023)

Exploring Device-Oriented Video Encryption for Hierarchical Privacy Protection in AR Content Sharing. - Yongquan Hu; Dongsheng Zheng; Kexin Nie; Junyan Zhang; Wen Hu 001; Aaron J. Quigley (ISMAR-Adjunct, 2024)

Towards Enhanced Context Awareness with Vision-based Multimodal Interfaces. - Yongquan Hu; Wen Hu 001; Aaron J. Quigley (MobileHCI (Companion), 2024)

MultiSurf-GPT: Facilitating Context-Aware Reasoning with Large-Scale Language Model Agents for Multimodal Surface Sensing. - Yongquan Hu; Black Sun; Pengcheng An; Zhuying Li; Wen Hu 001; Aaron J. Quigley (MobileHCI (Companion), 2024)

MultiSurf-GPT: Facilitating Context-Aware Reasoning with Large-Scale Language Models for Multimodal Surface Sensing. - Yongquan Hu; Black Sun; Pengcheng An; Zhuying Li; Wen Hu 001; Aaron J. Quigley (CoRR, 2024)

Exploring Large-Scale Language Models to Evaluate EEG-Based Multimodal Data for Mental Health. - Yongquan Hu; Shuning Zhang; Ting Dang; Hong Jia; Flora D. Salim; Wen Hu 001; Aaron J. Quigley (CoRR, 2024)

Adanonymizer: Interactively Navigating and Balancing the Duality of Privacy and Output Performance in Human-LLM Interaction. - Shuning Zhang; Xin Yi 001; Haobin Xing; Lyumanshan Ye; Yongquan Hu; Hewu Li (CoRR, 2024)

Towards Human-AI Synergy in UI Design: Enhancing Multi-Agent Based UI Generation with Intent Clarification and Alignment. - Mingyue Yuan; Jieshan Chen; Yongquan Hu; Sidong Feng; Mulong Xie; Gelareh Mohammadi; Zhenchang Xing; Aaron Quigley (CoRR, 2024)

Vision-Based Multimodal Interfaces: A Survey and Taxonomy for Enhanced Context-Aware System Design. - Yongquan 'Owen' Hu; Jingyu Tang; Xinya Gong; Zhongyi Zhou; Shuning Zhang; Don Samitha Elvitigala; Florian 'Floyd' Mueller; Wen Hu 001; Aaron J. Quigley (CHI, 2025)

Actual Achieved Gain and Optimal Perceived Gain: Modeling Human Take-over Decisions Towards Automated Vehicles' Suggestions. - Shuning Zhang; Xin Yi 001; Shixuan Li; Chuye Hong; Gujun Chen; Jiarui Liu; Xueyang Wang; Yongquan Hu; Yuntao Wang 001; Hewu Li (CHI, 2025)

Modeling the Intuitiveness of Mobile GUI Navigation by Understanding and Simulating Users' Attention Distribution. - Xiaozhu Hu; Xiaoyu Mo; Xiaofu Jin; Yongquan 'Owen' Hu; Mingming Fan 001; Tristan Braud (WWW (Companion Volume), 2025)

IntervEEG-LLM: Exploring EEG-Based Multimodal Data for Customized Mental Health Interventions. - Shuning Zhang; Yongquan 'Owen' Hu; Xin Yi 001; Suranga Nanayakkara; Xiaoming Chen 006 (WWW (Companion Volume), 2025)