| 2026 | EACL | Evaluating Sparse Autoencoders for Monosemantic Representation. | Moghis Fereidouni, Muhammad Umair Haider, Peizhong Ju, A. B. Siddique |
| 2026 | WiOpt | Priority-Aware Encoding for Bandwidth-Efficient Real-Time Classification in 5G Networks. | Chengzhang Li, Peizhong Ju, Atilla Eryilmaz, Ness B. Shroff |
| 2026 | WiOpt | An LP-based Sampling Policy for Multi-Armed Bandits with Side-Observations and Stochastic Availability. | Ashutosh Soni, Peizhong Ju, Atilla Eryilmaz, Ness B. Shroff |
| 2025 | AAAI | PSMGD: Periodic Stochastic Multi-Gradient Descent for Fast Multi-Objective Optimization. | Mingjing Xu, Peizhong Ju, Jia Liu, Haibo Yang |
| 2025 | ICLR | Broadening Target Distributions for Accelerated Diffusion Models via a Novel Analysis Approach. | Yuchen Liang, Peizhong Ju, Yingbin Liang, Ness B. Shroff |
| 2025 | ICLR | Theory on Score-Mismatched Diffusion Models and Zero-Shot Conditional Samplers. | Yuchen Liang, Peizhong Ju, Yingbin Liang, Ness B. Shroff |
| 2025 | ICLR | How to Find the Exact Pareto Front for Multi-Objective MDPs? | Yining Li, Peizhong Ju, Ness B. Shroff |
| 2025 | ICML | Unlocking the Power of Rehearsal in Continual Learning: A Theoretical Perspective. | Junze Deng, Qinhang Wu, Peizhong Ju, Sen Lin, Yingbin Liang, Ness B. Shroff |
| 2025 | ICML | FSL-SAGE: Accelerating Federated Split Learning via Smashed Activation Gradient Estimation. | Srijith Nair, Michael Lin, Peizhong Ju, Amirreza Talebi, Elizabeth Serena Bentley, Jia Liu |
| 2025 | MOBIHOC | Two Levels Are All You Need: Simplifying Data Compression for Timely Edge Classification. | Chengzhang Li, Peizhong Ju, Atilla Eryilmaz, Ness B. Shroff |
| 2024 | ICLR | Achieving Fairness in Multi-Agent MDP Using Reinforcement Learning. | Peizhong Ju, Arnob Ghosh, Ness B. Shroff |
| 2024 | ICLR | Achieving Sample and Computational Efficient Reinforcement Learning by Action Space Reduction via Grouping. | Yining Li, Peizhong Ju, Ness B. Shroff |
| 2024 | MOBIHOC | Can We Theoretically Quantify the Impacts of Local Updates on the Generalization Performance of Federated Learning? | Peizhong Ju, Haibo Yang, Jia Liu, Yingbin Liang, Ness B. Shroff |
| 2024 | MOBIHOC | Efficient Multi-dimensional Compression for Network-edge Classification. | Chengzhang Li, Peizhong Ju, Atilla Eryilmaz, Ness B. Shroff |
| 2023 | ICLR | Theoretical Characterization of the Generalization Performance of Overfitted Meta-Learning. | Peizhong Ju, Yingbin Liang, Ness B. Shroff |
| 2023 | ICML | Theory on Forgetting and Generalization of Continual Learning. | Sen Lin, Peizhong Ju, Yingbin Liang, Ness B. Shroff |
| 2021 | ICML | On the Generalization Power of Overfitted Two-Layer Neural Tangent Kernel Models. | Peizhong Ju, Xiaojun Lin, Ness B. Shroff |