Qiong Wu
Qiong Wu is a Senior Inventive Scientist at AT&T Labs Research. Her research focuses on developing robust machine learning algorithms under harsh conditions, such as an excessively large number of features and notoriously low signal-to-noise ratio.
Before joining AT&T, Qiong obtained her Ph.D. in computer science at William & Mary. She received her B.Eng degree from the Dalian University of Technology and M.Sc degree from the University of Hong Kong.
Research
GoPlaces: An App for Personalized Indoor Place Prediction
Pritam Sen, Xiaopeng Jiang, Qiong Wu, Manoop Talasila, Wen-Ling Hsu, Cristian Borcea
The 20th IEEE International Conference on Mobile Ad-Hoc and Smart Systems (MASS), 2023
Symphony in the Latent Space: Provably Integrating High-dimensional Techniques with Non-linear Machine Learning Models
Qiong Wu, Jian Li, Zhenming Liu, Yanhua Li, Mihai Cucuringu
AAAI Conference on Artificial Intelligence AAAI (AAAI), 2023
Demo: Indoor Place Prediction on Smart Phones
Pritam Sen, Xiaopeng Jiang, Qiong Wu, Manoop Talasila, Wen-Ling Hsu, Cristian Borcea
ACM Conference on Embedded Networked Sensor Systems (SenSys), 2022
Equity2Vec: End-to-end Deep Learning Framework for Cross-sectional Asset Pricing
Qiong Wu, Christopher G. Brinton, Zheng Zhang, Andrea Pizzoferrato, Zhenming Liu, Mihai Cucuringu
ACM International Conference on AI in Finance (ICAIF), 2021
Rosella: A Self-Driving Distributed Scheduler for Heterogeneous Clusters
Qiong Wu, Zhenming Liu
International Conference on Mobility, Sensing and Networking (MSN), 2021
BATS: A Spectral Biclustering Approach to Single Document Topic Modeling and Segmentation
Qiong Wu, Adam Hare, Sirui Wang, Yuwei Tu, Zhenming Liu, Christopher G. Brinton, Yanhua Li
ACM Transactions on Intelligent Systems and Technologies (TIST), 2021
Adaptive Reduced Rank Regression
Qiong Wu, Felix M. F. Wong, Zhenming Liu, Yanhua Li, Varun Kanade
Conference on Neural Information Processing Systems (NeurIPS), 2020
[Code][Full Version]
Extended Abstract: On Embedding Stocks
Qiong Wu, Zheng Zhang, Yanhua Li, Zhenming Liu, Mihai Cucuringu
ACM International Conference on AI in Finance (ICAIF), 2020
Extended Abstract: A Deep Learning Framework for Pricing Financial Instruments
Qiong Wu, Zheng Zhang, Andrea Pizzoferrato, Zhenming Liu, Mihai Cucuringu
ACM International Conference on AI in Finance (ICAIF), 2020
Speaking with Actions: Learning Customer Journey Behavior
Qiong Wu, Wen-Ling Hsu, Tan Xu, Zhenming Liu, Guang-Qin Ma, Guy Jacobson, Shuai Zhao
IEEE International Conference on Semantic Computing (ICSC), 2019
Near Neighbor Approach for Learning Random Preferences
Ao Liu, Qiong Wu, Lirong Xia, Zhenming Liu
AAAI Conference on Artificial Intelligence AAAI (AAAI), 2019 (Full Oral Presentation)
A Magic Cube based Information Hiding Scheme of Large Payload
Qiong Wu, Chen Zhu, Jianjun Li, Chin-Chen Chang, Zhi-Hui Wang
Journal of Information Security and Applications, 2016
Early Car Collision Prediction in VANET
Qiong Wu, Lucas Chi Kwong Hui, Cheuk Yu Yeung, Tat Wing Chim
International Conference on Connected Vehicles & Expo (ICCVE), 2015
Service
- Program Committee: AAAI 2023, ICAIF 2022, MSN 2022, ICAIF 2021, MSN 2021
- Reviewer: IEEE Transactions on Knowledge and Data Engineering (TKDE), IEEE Transactions on Neural Networks and Learning Systems (TNNLS), IEEE Transactions on Intelligent Transportation Systems (T-ITS), IEEE Transactions on Wireless Communications (TWC), INFORMS Journal of Computing, IEEE/ACM Transactions on Computational Biology and Bioinformatics, IEEE Transactions on Industrial Informatics