Peizhong Ju

Publication Activity (10 Years)

Years Active: 2015-2024
Publications (10 Years): 24

Top Topics

Markov Decision Process

Computationally Tractable

Space Reduction

Reinforcement Learning

Top Venues

Publications

Peizhong Ju, Chengzhang Li, Yingbin Liang, Ness B. Shroff
AI-EDGE: An NSF AI institute for future edge networks and distributed intelligence. AI Mag. 45 (1) (2024)
Yuchen Liang, Peizhong Ju, Yingbin Liang, Ness B. Shroff
Non-asymptotic Convergence of Discrete-time Diffusion Models: New Approach and Improved Rate. CoRR (2024)
Yining Li, Peizhong Ju, Ness B. Shroff
Achieving Sample and Computational Efficient Reinforcement Learning by Action Space Reduction via Grouping. ICLR (2024)
Peizhong Ju, Arnob Ghosh, Ness B. Shroff
Achieving Fairness in Multi-Agent MDP Using Reinforcement Learning. ICLR (2024)
Peizhong Ju, Arnob Ghosh, Ness B. Shroff
Achieving Fairness in Multi-Agent Markov Decision Processes Using Reinforcement Learning. CoRR (2023)
Sen Lin, Peizhong Ju, Yingbin Liang, Ness B. Shroff
Theory on Forgetting and Generalization of Continual Learning. ICML (2023)
Peizhong Ju, Sen Lin, Mark S. Squillante, Yingbin Liang, Ness B. Shroff
Generalization Performance of Transfer Learning: Overparameterized and Underparameterized Regimes. CoRR (2023)
Peizhong Ju, Yingbin Liang, Ness B. Shroff
Theoretical Characterization of the Generalization Performance of Overfitted Meta-Learning. CoRR (2023)
Yining Li, Peizhong Ju, Ness B. Shroff
Achieving Sample and Computational Efficient Reinforcement Learning by Action Space Reduction via Grouping. CoRR (2023)
Sen Lin, Peizhong Ju, Yingbin Liang, Ness B. Shroff
Theory on Forgetting and Generalization of Continual Learning. CoRR (2023)
Peizhong Ju, Yingbin Liang, Ness B. Shroff
Theoretical Characterization of the Generalization Performance of Overfitted Meta-Learning. ICLR (2023)
Peizhong Ju, Xiaojun Lin, Ness B. Shroff
On the Generalization Power of the Overfitted Three-Layer Neural Tangent Kernel Model. CoRR (2022)
Peizhong Ju, Xiaojun Lin, Ness B. Shroff
On the Generalization Power of the Overfitted Three-Layer Neural Tangent Kernel Model. NeurIPS (2022)
Peizhong Ju, Xiaojun Lin, Ness B. Shroff
Understanding the Generalization Power of Overfitted NTK Models: 3-layer vs. 2-layer (Extended Abstract). Allerton (2022)
Peizhong Ju, Xiaojun Lin, Jianwei Huang
Distribution-level markets under high renewable energy penetration. e-Energy (2022)
Peizhong Ju, Xiaojun Lin, Ness B. Shroff
On the Generalization Power of Overfitted Two-Layer Neural Tangent Kernel Models. CoRR (2021)
Peizhong Ju, Xiaojun Lin, Ness B. Shroff
On the Generalization Power of Overfitted Two-Layer Neural Tangent Kernel Models. ICML (2021)
Peizhong Ju, Xiaojun Lin, Jia Liu
Overfitting Can Be Harmless for Basis Pursuit: Only to a Degree. CoRR (2020)
Peizhong Ju, Xiaojun Lin, Jia Liu
Overfitting Can Be Harmless for Basis Pursuit, But Only to a Degree. NeurIPS (2020)
Peizhong Ju, Miaowen Wen, Xiang Cheng, Liuqing Yang
Achievable-Rate-Enhancing Self-Interference Cancellation for Full-Duplex Communications. IEEE Trans. Wirel. Commun. 17 (12) (2018)
Peizhong Ju, Xiaojun Lin
Adversarial Attacks to Distributed Voltage Control in Power Distribution Networks with DERs. e-Energy (2018)
Weilin Qu, Meng Zhang, Xiang Cheng, Peizhong Ju
Generalized Spatial Modulation With Transmit Antenna Grouping for Massive MIMO. IEEE Access 5 (2017)
Peizhong Ju, Meng Zhang, Xiang Cheng, Liuqing Yang
Generalized spatial modulation with transmit antenna grouping for massive MIMO. ICC (2017)
Peizhong Ju, Meng Zhang, Xiang Cheng, Cheng-Xiang Wang, Liuqing Yang
Generalized spatial modulation with transmit antenna grouping for correlated channels. ICC (2016)
Peizhong Ju, Miaowen Wen, Xiang Cheng, Liuqing Yang
An effective self-interference cancellation scheme for spatial modulated full duplex systems. ICC (2015)