Deep Learning Based Sub-Nyquist Modulation Recognition. - Shuangning Li; Shaoqing Hu; Rajagopal Nilavalan (ICCMS, 2023)

Detecting Interference in Online Controlled Experiments with Increasing Allocation. - Kevin Han; Shuangning Li; Jialiang Mao; Han Wu (KDD, 2023)

Dyadic Reinforcement Learning. - Shuangning Li; Lluis Salvat Niell; Sung Won Choi; Inbal Nahum-Shani; Guy Shani; Susan A. Murphy (CoRR, 2023)

Covariate Shift Corrected Conditional Randomization Test. - Bowen Xu; Yiwen Huang; Chuan Hong; Shuangning Li; Molei Liu (NeurIPS, 2024)

Experimenting under Stochastic Congestion. - Shuangning Li; Ramesh Johari; Kuang Xu; Stefan Wager (EC, 2024)

Choosing the Better Bandit Algorithm under Data Sharing: When Do A/B Experiments Work? - Shuangning Li; Chonghuan Wang; Jingyan Wang (CoRR, 2025)