Peizhong Ju

According to our database, Peizhong Ju authored at least 19 papers between 2015 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Non-asymptotic Convergence of Discrete-time Diffusion Models: New Approach and Improved Rate.

Yuchen Liang, Peizhong Ju, Yingbin Liang, Ness B. Shroff

CoRR, 2024

AI-EDGE: An NSF AI institute for future edge networks and distributed intelligence.

Peizhong Ju, Chengzhang Li, Yingbin Liang, Ness B. Shroff

AI Mag., 2024

2023

Achieving Sample and Computational Efficient Reinforcement Learning by Action Space Reduction via Grouping.

Yining Li, Peizhong Ju, Ness B. Shroff

CoRR, 2023

Generalization Performance of Transfer Learning: Overparameterized and Underparameterized Regimes.

Peizhong Ju, Sen Lin, Mark S. Squillante, Yingbin Liang, Ness B. Shroff

CoRR, 2023

Achieving Fairness in Multi-Agent Markov Decision Processes Using Reinforcement Learning.

Peizhong Ju, Arnob Ghosh, Ness B. Shroff

CoRR, 2023

Theory on Forgetting and Generalization of Continual Learning.

Sen Lin, Peizhong Ju, Yingbin Liang, Ness B. Shroff

Proceedings of the International Conference on Machine Learning, 2023

Theoretical Characterization of the Generalization Performance of Overfitted Meta-Learning.

Peizhong Ju, Yingbin Liang, Ness B. Shroff

Proceedings of the Eleventh International Conference on Learning Representations, 2023

2022

On the Generalization Power of the Overfitted Three-Layer Neural Tangent Kernel Model.

Peizhong Ju, Xiaojun Lin, Ness B. Shroff

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Distribution-level markets under high renewable energy penetration.

Peizhong Ju, Xiaojun Lin, Jianwei Huang

Proceedings of the e-Energy '22: The Thirteenth ACM International Conference on Future Energy Systems, Virtual Event, 28 June 2022, 2022

Understanding the Generalization Power of Overfitted NTK Models: 3-layer vs. 2-layer (Extended Abstract).

Peizhong Ju, Xiaojun Lin, Ness B. Shroff

Proceedings of the 58th Annual Allerton Conference on Communication, 2022

2021

On the Generalization Power of Overfitted Two-Layer Neural Tangent Kernel Models.

Peizhong Ju, Xiaojun Lin, Ness B. Shroff

Proceedings of the 38th International Conference on Machine Learning, 2021

2020

Overfitting Can Be Harmless for Basis Pursuit: Only to a Degree.

Peizhong Ju, Xiaojun Lin, Jia Liu

CoRR, 2020

Overfitting Can Be Harmless for Basis Pursuit, But Only to a Degree.

Peizhong Ju, Xiaojun Lin, Jia Liu

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

2018

Achievable-Rate-Enhancing Self-Interference Cancellation for Full-Duplex Communications.

Peizhong Ju, Miaowen Wen, Xiang Cheng, Liuqing Yang

IEEE Trans. Wirel. Commun., 2018

Adversarial Attacks to Distributed Voltage Control in Power Distribution Networks with DERs.

Peizhong Ju, Xiaojun Lin

Proceedings of the Ninth International Conference on Future Energy Systems, 2018

2017

Generalized Spatial Modulation With Transmit Antenna Grouping for Massive MIMO.

Weilin Qu, Meng Zhang, Xiang Cheng, Peizhong Ju

IEEE Access, 2017

Generalized spatial modulation with transmit antenna grouping for massive MIMO.

Peizhong Ju, Meng Zhang, Xiang Cheng, Liuqing Yang

Proceedings of the IEEE International Conference on Communications, 2017

2016

Generalized spatial modulation with transmit antenna grouping for correlated channels.

Peizhong Ju, Meng Zhang, Xiang Cheng, Cheng-Xiang Wang, Liuqing Yang

Proceedings of the 2016 IEEE International Conference on Communications, 2016

2015

An effective self-interference cancellation scheme for spatial modulated full duplex systems.

Peizhong Ju, Miaowen Wen, Xiang Cheng, Liuqing Yang

Proceedings of the 2015 IEEE International Conference on Communications, 2015