Lanyu Shang

Ph.D. Candidate in Information Sciences

University of Illinois Urbana-Champaign

Email: lshang3 [at] illinois [dot] edu

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Short Bio

I am currently a Ph.D. candidate in the School of Information Sciences (iSchool) at the University of Illinois Urbana-Champaign (UIUC) under the supervision of Dr. Dong Wang. I received an M.S. in Data Science from New York University (NYU) and a B.S. in Applied Mathematics from the University of California - Los Angeles (UCLA). My research interest lies in human-centric AI, human-AI collaboration, social media analysis, AI for social good, and applied AI.

Honors and Awards

Best Paper Award, IEEE/ACM ASONAM, 2022

Best Paper Honorable Mention, IEEE SMARTCOMP, 2022

N2Women Young Researcher Fellowship, IEEE SMARTCOMP, 2022

Outstanding Graduate Student Teaching Award, University of Notre Dame, 2020

Video Presentation Award, IEEE/ACM IWQoS, 2020

Student Travel Award, IEEE BigData, 2019, 2021

Selected Publications (Full List)

Note: * denotes equal contribution between first two authors.

Lanyu Shang, Yang Zhang, Zhenrui Yue, YeonJung Choi, Huimin Zeng, Dong Wang. A Domain Adaptive Graph Learning Framework to Early Detection of Emergent Healthcare Misinformation on Social Media, International AAAI Conference on Web and Social Media (ICWSM), 2024.

Lanyu Shang, Yang Zhang, Bozhang Chen, Ruohan Zong, Zhenrui Yue, Huimin Zeng, Na Wei, Dong Wang. MMAdapt: A Knowledge-Guided Multi-Source Multi-Class Domain Adaptive Framework for Early Health Misinformation Detection, ACM Web Conference (WWW), 2024.

Renjing Jiang*, Lanyu Shang*, Ruohan Wang, Dong Wang, Na Wei. Machine Learning Based Prediction of Enzymatic Degradation of Plastics Using Encoded Protein Sequence and Effective Feature Representation, Environmental Science & Technology Letters, 2023.

Lanyu Shang, Yang Zhang, Quanhui Ye, Shannon L Speir, Brett W Peters, Ying Wu, Casey J Stoffel, Diogo Bolster, Jennifer L Tank, Danielle M Wood, Na Wei, Dong Wang. CrowdWaterSens: An Uncertainty-aware Crowdsensing Approach to Groundwater Contamination Estimation, Pervasive and Mobile Computing (PMC), 2023.

Lanyu Shang, Yang Zhang, Zhenrui Yue, YeonJung Choi, Huimin Zeng, Dong Wang. A Knowledge-driven Domain Adaptive Approach to Early Misinformation Detection in an Emergent Health Domain on Social Media (Best Paper Award), IEEE/ACM International Conference on Advances in Social Network Analysis and Mining (ASONAM), 2022.

Lanyu Shang, Yang Zhang, Quanhui Ye, Na Wei, Dong Wang. SmartWaterSens: A Crowdsensing-based Approach to Groundwater Contamination Estimation (Best Paper Honorable Mention), IEEE International Conference on Smart Computing (SMARTCOMP), 2022.

Lanyu Shang*, Ziyi Kou*, Yang Zhang, Jin Chen, Dong Wang. A Privacy-aware Distributed Knowledge Graph Approach to QoIS-driven COVID-19 Misinformation Detection, IEEE/ACM International Symposium on Quality of Service (IWQoS), 2022.

Ziyi Kou*, Lanyu Shang*, Yang Zhang, Dong Wang. Can I only share my eyes? A Web Crowdsourcing based Face Partition Approach Towards Privacy-Aware Face Recognition, ACM Web Conference, 2022.

Lanyu Shang*, Ziyi Kou*, Yang Zhang, Dong Wang. A Duo-generative Approach to Explainable Multimodal COVID-19 Misinformation Detection, ACM Web Conference, 2022.

Ziyi Kou*, Lanyu Shang*, Yang Zhang, Dong Wang. HC-COVID: A Hierarchical Crowdsource Knowledge Graph Approach to Explainable COVID-19 Misinformation Detection, ACM International Conference on Supporting Group Work (GROUP), 2022.

Ziyi Kou*, Lanyu Shang*, Yang Zhang, Zhenrui Yue, Huimin Zeng, Dong Wang. Crowd, Expert & AI: A Human-AI Interactive Approach Towards Natural Language Explanation Based COVID-19 Misinformation Detection, International Joint Conference on Artificial Intelligence, 2022.

Lanyu Shang*, Yang Zhang*, Christina Youn, Dong Wang. SAT-Geo: A social sensing based content-only approach to geolocating abnormal traffic events using syntax-based probabilistic learning, Information Processing & Management, 2022.

Shannon L Speir, Lanyu Shang, Diogo Bolster, Jennifer L Tank, Casey J Stoffel, Danielle M Wood, Brett W Peters, Na Wei, Dong Wang. Solutions to Current Challenges in Widespread Monitoring of Groundwater Quality via Crowdsensing, Groundwater, 2022.

Lanyu Shang, Ziyi Kou, Yang Zhang, Dong Wang. A Multimodal Misinformation Detector for COVID-19 Short Videos on Tiktok, IEEE International Conference on Big Data (Big Data), 2021.

Lanyu Shang, Daniel Yue Zhang, Jialie Shen, Eamon Lopez Marmion, Dong Wang. CCMR: A Classic-enriched Connotation-aware Music Retrieval System on Social Media with Visual Inputs, Social Network Analysis and Mining (SNAM), 2021.

Yang Zhang, Lanyu Shang, Ruohan Zong, Zeng Wang, Ziyi Kou, Dong Wang. StreamCollab: A Streaming Crowd-AI Collaborative System to Smart Urban Infrastructure Monitoring in Social Sensing, Proceedings of the AAAI Conference on Human Computation and Crowdsourcing, 2021.

Lanyu Shang, Christina Youn, Yuheng Zha, Yang Zhang, Dong Wang. KnowMeme: A Knowledge-enriched Graph Neural Network Solution to Offensive Meme Detection, IEEE International Conference on eScience (eScience), 2021.

Ziyi Kou*, Lanyu Shang*, Yang Zhang, Christina Youn, Dong Wang. FakeSens: A Social Sensing Approach to COVID-19 Misinformation Detection on Social Media, IEEE International Conference on Distributed Computing in Sensor Systems (DCOSS), 2021.

Lanyu Shang, Yang Zhang, Yuheng Zha, Yingxi Chen, Christina Youn, Dong Wang. AOMD: An Analogy-aware Approach to Offensive Meme Detection on Social Media, Information Processing & Management, 2021.

Lanyu Shang, Daniel Zhang, Siamul Karim Khan, Jialie Shen, and Dong Wang. CaMR: Towards Connotation-aware Music Retrieval on Social Media with Visual Inputs, IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM), 2020.

Lanyu Shang, Yang Zhang, Daniel Zhang, and Dong Wang. FauxWard: A Graph Neural Network Approach to Fauxtography Detection Using Social Media Comments, Social Network Analysis and Mining (SNAM), 2020.

Lanyu Shang, Daniel Zhang, Michael Wang, and Dong Wang. VulnerCheck: A Content-agnostic Detector for Online Hatred-vulnerable Videos, IEEE International Conference on Big Data (Big Data), 2019.

Lanyu Shang, Daniel Zhang, Michael Wang, Shuyue Lai, and Dong Wang. Towards Reliable Online Clickbait Video Detection: A content-agnostic Approach, Knowledge-Based Systems (KBS), 2019.

Daniel Zhang*, Lanyu Shang*, Biao Geng, Shuyue Lai, Ke Li, Hongmin Zhu, Md Tanvir Amin, and Dong Wang. Fauxbuster: A Content-free Fauxtography Detector Using Social Media Comments, IEEE International Conference on Big Data (Big Data), 2018.