Early car collision prediction in VANET. - Qiong Wu 008; Lucas C. K. Hui; Cheuk Yu Yeung; Tat Wing Chim (ICCVE, 2015)

A novel information hiding scheme based on line segments. - Zhihui Wang 001; Qiong Wu 008; Zhongxuan Luo; Chin-Chen Chang 001 (J. Inf. Hiding Multim. Signal Process., 2015)

A magic cube based information hiding scheme of large payload. - Qiong Wu 008; Chen Zhu; Jianjun Li; Chin-Chen Chang 001; Zhi-Hui Wang 001 (J. Inf. Secur. Appl., 2016)

Towards Non-Parametric Learning to Rank. - Ao Liu 001; Qiong Wu 008; Zhenming Liu; Lirong Xia (CoRR, 2018)

Near-Neighbor Methods in Random Preference Completion. - Ao Liu 001; Qiong Wu 008; Zhenming Liu; Lirong Xia (AAAI, 2019)

Speaking with Actions - Learning Customer Journey Behavior. - Qiong Wu 008; Wen-Ling Hsu; Tan Xu; Zhenming Liu; George Ma; Guy Jacobson; Shuai Zhao (ICSC, 2019)

A Deep Learning Framework for Pricing Financial Instruments. - Qiong Wu 008; Zheng Zhang 018; Andrea Pizzoferrato; Mihai Cucuringu; Zhenming Liu (CoRR, 2019)

Adaptive Reduced Rank Regression. - Qiong Wu 008; Felix Ming Fai Wong; Yanhua Li; Zhenming Liu; Varun Kanade (NeurIPS, 2020)

Rosella: A Self-Driving Distributed Scheduler for Heterogeneous Clusters. - Qiong Wu 008; Sunil Manandhar; Zhenming Liu (CoRR, 2020)

Equity2Vec: end-to-end deep learning framework for cross-sectional asset pricing. - Qiong Wu 008; Christopher G. Brinton; Zheng Zhang 018; Andrea Pizzoferrato; Zhenming Liu; Mihai Cucuringu (ICAIF, 2021)

Rosella: A Self-Driving Distributed Scheduler for Heterogeneous Clusters. - Qiong Wu 008; Zhenming Liu (MSN, 2021)

BATS: A Spectral Biclustering Approach to Single Document Topic Modeling and Segmentation. - Qiong Wu 008; Adam Hare; Sirui Wang; Yuwei Tu; Zhenming Liu; Christopher G. Brinton; Yanhua Li (ACM Trans. Intell. Syst. Technol., 2021)

Indoor Place Prediction on Smart Phones. - Pritam Sen; Xiaopeng Jiang; Qiong Wu 008; Manoop Talasila; Wen-Ling Hsu; Cristian Borcea (SenSys, 2022)

Symphony in the Latent Space: Provably Integrating High-Dimensional Techniques with Non-linear Machine Learning Models. - Qiong Wu 008; Jian Li; Zhenming Liu; Yanhua Li; Mihai Cucuringu (AAAI, 2023)

General-Purpose Multi-Modal OOD Detection Framework. - Viet Duong; Qiong Wu 008; Zhengyi Zhou; Eric Zavesky; Jiahe Chen; Xiangzhou Liu; Wen-Ling Hsu; Huajie Shao (CoRR, 2023)

CAT: Interpretable Concept-based Taylor Additive Models. - Viet Duong; Qiong Wu 008; Zhengyi Zhou; Hongjue Zhao; Chenxiang Luo; Eric Zavesky; Huaxiu Yao; Huajie Shao (KDD, 2024)

A General-Purpose Multi-Modal OOD Detection Framework. - Viet Duong; Qiong Wu 008; Zhengyi Zhou; Eric Zavesky; Wen-Ling Hsu; Han Zhao 002; Huajie Shao (Trans. Mach. Learn. Res., 2024)

Shapley-Guided Utility Learning for Effective Graph Inference Data Valuation. - Hongliang Chi; Qiong Wu 008; Zhengyi Zhou; Yao Ma 001 (ICLR, 2025)

Unifying and Optimizing Data Values for Selection via Sequential-Decision-Making. - Hongliang Chi; Qiong Wu 008; Zhengyi Zhou; Jonathan Light; Emily Dodwell; Yao Ma 001 (CoRR, 2025)

Diagnosing and Addressing Pitfalls in KG-RAG Datasets: Toward More Reliable Benchmarking. - Liangliang Zhang; Zhuorui Jiang; Hongliang Chi; Haoyang Chen; Mohammed Elkoumy; Fali Wang; Qiong Wu 008; Zhengyi Zhou; Shirui Pan; Suhang Wang; Yao Ma 001 (CoRR, 2025)