Compressive Sensing Improvement Based on Projection Replacement in Measurement Space. - Xingsong Hou; Zan Chen; Shenghe Xu (ICIMCS, 2014)

Exploiting network similarity for latency prediction of edge devices. - Shenghe Xu; Pei Liu 001; Shivendra S. Panwar (ICC, 2017)

Capacity Analysis for Full Duplex Self-Backhauled Small Cells. - Shenghe Xu; Pei Liu 001; Sanjay Goyal; Shivendra S. Panwar (GLOBECOM Workshops, 2018)

Realtime Scheduling and Power Allocation Using Deep Neural Networks. - Shenghe Xu; Pei Liu 001; Ran Wang; Shivendra S. Panwar (WCNC, 2019)

Deep Neural Network Approximated Dynamic Programming for Combinatorial Optimization. - Shenghe Xu; Shivendra S. Panwar; Murali S. Kodialam; T. V. Lakshman (AAAI, 2020)

Learning Based Methods for Traffic Matrix Estimation From Link Measurements. - Shenghe Xu; Murali S. Kodialam; T. V. Lakshman; Shivendra S. Panwar (IEEE Open J. Commun. Soc., 2021)

Tomography Based Learning for Load Distribution Through Opaque Networks. - Shenghe Xu; Murali S. Kodialam; T. V. Lakshman; Shivendra S. Panwar (IEEE Open J. Commun. Soc., 2021)

An Application of Causal Bandit to Content Optimization. - Sameer Kanase; Yan Zhao; Shenghe Xu; Mitchell Goodman; Manohar Mandalapu; Benjamyn Ward; Chan Jeon; Shreya Kamath; Ben Cohen; Yujia Liu; Hengjia Zhang; Yannick Kimmel; et al. (ORSUM@RecSys, 2022)

Mitigating Targeting Bias in Content Recommendation with Causal Bandits. - Yan Zhao; Mitchell Goodman; Sameer Kanase; Shenghe Xu; Yannick Kimmel; Brent Payne; Saad Khan 009; Patricia Grao (MORS@RecSys, 2022)