activity
20172022
most citedStudent Barriers to Active Learning in Synchronous Online Classes: Characterization, Reflections, and Suggestions

35 citations · 186 across the 23 of their papers we have counts for

collaborators

23 papers

cs.HC2022★ 8 cited

RoleSeer: Understanding Informal Social Role Changes in MMORPGs via Visual Analytics

Laixin Xie, Ziming Wu, Peng Xu +3

Massively multiplayer online role-playing games create virtual communities that support heterogeneous "social roles" determined by gameplay interaction behaviors under a specific s…

cs.HC2021★ 5 cited

Understanding Players' Interaction Patterns with Mobile Game App UI via Visualizations

Quan Li, Haipeng Zeng, Zhenhui Peng +1

Understanding how players interact with the mobile game app on smartphone devices is important for game experts to develop and refine their app products. Conventionally, the game e…

cs.LG2021★ 5 cited

Human-Centered AI for Data Science: A Systematic Approach

Dakuo Wang, Xiaojuan Ma, April Yi Wang

Human-Centered AI (HCAI) refers to the research effort that aims to design and implement AI techniques to support various human tasks, while taking human needs into consideration a…

cs.SI2021★ 1 cited

Know it to Defeat it: Exploring Health Rumor Characteristics and Debunking Efforts on Chinese Social Media during COVID-19 Crisis

Wenjie Yang, Sitong Wang, Zhenhui Peng +3

Health-related rumors spreading online during a public crisis may pose a serious threat to people's well-being. Existing crisis informatics research lacks in-depth insights into th…

cs.LG2021

Inspecting the Process of Bank Credit Rating via Visual Analytics

Qiangqiang Liu, Quan Li, Zhihua Zhu +2

Bank credit rating classifies banks into different levels based on publicly disclosed and internal information, serving as an important input in financial risk management. However,…

cs.HC2021★ 35 cited

Student Barriers to Active Learning in Synchronous Online Classes: Characterization, Reflections, and Suggestions

Reza Hadi Mogavi, Yankun Zhao, Ehsan Ul Haq +2

As more and more face-to-face classes move to online environments, it becomes increasingly important to explore any emerging barriers to students' learning. This work focuses on ch…

cs.HC2021★ 23 cited

CASS: Towards Building a Social-Support Chatbot for Online Health Community

Liuping Wang, Dakuo Wang, Feng Tian +7

Chatbots systems, despite their popularity in today's HCI and CSCW research, fall short for one of the two reasons: 1) many of the systems use a rule-based dialog flow, thus they c…

cs.HC2021★ 19 cited

Characterizing Student Engagement Moods for Dropout Prediction in Question Pool Websites

Reza Hadi Mogavi, Xiaojuan Ma, Pan Hui

Problem-Based Learning (PBL) is a popular approach to instruction that supports students to get hands-on training by solving problems. Question Pool websites (QPs) such as LeetCode…

cs.HC2020★ 2 cited

QLens: Visual Analytics of Multi-step Problem-solving Behaviors for Improving Question Design

Meng Xia, Reshika Palaniyappan Velumani, Yong Wang +2

With the rapid development of online education in recent years, there has been an increasing number of learning platforms that provide students with multi-step questions to cultiva…

cs.HC2020★ 1 cited

A Visual Analytics Approach to Scheduling Customized Shuttle Buses via Perceiving Passengers' Travel Demands

Qiangqiang Liu, Quan Li, Chunfeng Tang +3

Shuttle buses have been a popular means to move commuters sharing similar origins and destinations during periods of high travel demand. However, planning and deploying reasonable,…

cs.SI2020★ 2 cited

Friend Network as Gatekeeper: A Study of WeChat Users' Consumption of Friend-Curated Contents

Quan Li, Zhenhui Peng, Haipeng Zeng +5

Social media enables users to publish, disseminate, and access information easily. The downside is that it has fewer gatekeepers of what content is allowed to enter public circulat…

cs.HC2020

Investigating the Effects of Robot Engagement Communication on Learning from Demonstration

Mingfei Sun, Zhenhui Peng, Meng Xia +1

Robot Learning from Demonstration (RLfD) is a technique for robots to derive policies from instructors' examples. Although the reciprocal effects of student engagement on teacher b…

cs.HC2020★ 33 cited

VoiceCoach: Interactive Evidence-based Training for Voice Modulation Skills in Public Speaking

Xingbo Wang, Haipeng Zeng, Yong Wang +4

The modulation of voice properties, such as pitch, volume, and speed, is crucial for delivering a successful public speech. However, it is challenging to master different voice mod…

cs.HC2019

Jo: The Smart Journal

Vivian Li, Alon Halevy, Adi Zief-Balteriski Ph. D +9

We introduce Jo, a mobile application that attempts to improve user's well-being. Jo is a journaling application--users log their important moments via short texts and optionally a…

cs.LG2019★ 6 cited

Adversarial Imitation Learning from Incomplete Demonstrations

Mingfei Sun, Xiaojuan Ma

Imitation learning targets deriving a mapping from states to actions, a.k.a. policy, from expert demonstrations. Existing methods for imitation learning typically require any actio…

cs.HC2019★ 1 cited

Estimating Emotional Intensity from Body Poses for Human-Robot Interaction

Mingfei Sun, Yiqing Mou, Hongwen Xie +3

Equipping social and service robots with the ability to perceive human emotional intensities during an interaction is in increasing demand. Most of existing work focuses on determi…

cs.HC2018★ 7 cited

Manifest the Invisible: Design for Situational Awareness of Physical Environments in Virtual Reality

Zhenyi He, Fengyuan Zhu, Ken Perlin +1

Virtual Reality (VR) provides immersive experiences in the virtual world, but it may reduce users' awareness of physical surroundings and cause safety concerns and psychological di…

cs.HC2018★ 4 cited

EmbeddingVis: A Visual Analytics Approach to Comparative Network Embedding Inspection

Quan Li, Kristanto Sean Njotoprawiro, Hammad Haleem +3

Constructing latent vector representation for nodes in a network through embedding models has shown its practicality in many graph analysis applications, such as node classificatio…

cs.HC2018★ 2 cited

WeSeer: Visual Analysis for Better Information Cascade Prediction of WeChat Articles

Quan Li, Ziming Wu, Lingling Yi +3

Social media, such as Facebook and WeChat, empowers millions of users to create, consume, and disseminate online information on an unprecedented scale. The abundant information on…

cs.CV2018★ 4 cited

Coloring with Words: Guiding Image Colorization Through Text-based Palette Generation

Hyojin Bahng, Seungjoo Yoo, Wonwoong Cho +4

This paper proposes a novel approach to generate multiple color palettes that reflect the semantics of input text and then colorize a given grayscale image according to the generat…

cs.AI2018★ 19 cited

Cross-City Transfer Learning for Deep Spatio-Temporal Prediction

Leye Wang, Xu Geng, Xiaojuan Ma +2

Spatio-temporal prediction is a key type of tasks in urban computing, e.g., traffic flow and air quality. Adequate data is usually a prerequisite, especially when deep learning is…

cs.CR2017★ 2 cited

Geographic Differential Privacy for Mobile Crowd Coverage Maximization

Leye Wang, Gehua Qin, Dingqi Yang +2

For real-world mobile applications such as location-based advertising and spatial crowdsourcing, a key to success is targeting mobile users that can maximally cover certain locatio…

cs.LG2017★ 7 cited

Ridesourcing Car Detection by Transfer Learning

Leye Wang, Xu Geng, Jintao Ke +4

Ridesourcing platforms like Uber and Didi are getting more and more popular around the world. However, unauthorized ridesourcing activities taking advantages of the sharing economy…