| 2026 | ISIT | Low-Rank-Based Approximate Computation with Memristors. | Binyu Lu, Matthias Frey, Stark Draper, Jingge Zhu |
| 2026 | ISIT | Beyond Identification: Computing Boolean Functions via Channels. | Jingge Zhu, Matthias Frey |
| 2025 | ISIT | Towards Unified and Sharpened CMI Bounds for Generalization Errors. | Yang Lu, Margreta Kuijper, Jingge Zhu |
| 2025 | ITW | A DPI-PAC-Bayesian Framework for Generalization Bounds. | Muhan Guan, Farhad Farokhi, Jingge Zhu |
| 2025 | SP | TreePIR: Efficient Private Retrieval of Merkle Proofs via Tree Colorings with Fast Indexing and Zero Storage Overhead. | Quang Cao, Son Hoang Dau, Rinaldo Gagiano, Duy Huynh, Xun Yi, Phuc Lu Le, Quang-Hung Luu, Emanuele Viterbo, Yu-Chih Huang, Jingge Zhu, Mohammad M. Jalalzai, Chen Feng |
| 2024 | ISIT | Simultaneous Computation and Communication over MAC. | Matthias Frey, Igor Bjelakovic, Michael C. Gastpar, Jingge Zhu |
| 2024 | ISIT | Compute-Forward Multiple Access for Gaussian Fast Fading Channels. | Lanwei Zhang, Jingge Zhu, Jamie S. Evans |
| 2023 | ESORICS | Committed Private Information Retrieval. | Quang Cao, Hong-Yen Tran, Son Hoang Dau, Xun Yi, Emanuele Viterbo, Chen Feng, Yu-Chih Huang, Jingge Zhu, Stanislav Kruglik, Han Mao Kiah |
| 2023 | GLOBECOM | Accelerating Graph Neural Networks via Edge Pruning for Power Allocation in Wireless Networks. | Lili Chen, Jingge Zhu, Jamie S. Evans |
| 2023 | ICASSP | Hardware-Limited Non-Uniform Task-Based Quantizers. | Neil Irwin Bernardo, Jingge Zhu, Yonina C. Eldar, Jamie S. Evans |
| 2023 | ICASSP | On the Value of Stochastic Side Information in Online Learning. | Junzhang Jia, Xuetong Wu, Jamie S. Evans, Jingge Zhu |
| 2023 | ISIT | Learning Channel Codes from Data: Performance Guarantees in the Finite Blocklength Regime. | Neil Irwin Bernardo, Jingge Zhu, Jamie S. Evans |
| 2023 | ISIT | CFMA for Gaussian MIMO Multiple Access Channels. | Lanwei Zhang, Jamie S. Evans, Jingge Zhu |
| 2022 | ISIT | A Linear Physical-Layer Network Coding Based Multiple Access Approach. | Qiuzhuo Chen, Fangtao Yu, Tao Yang, Jingge Zhu, Rongke Liu |
| 2022 | ITW | A Learning-Based Approach to Approximate Coded Computation. | Navneet Agrawal, Yuqin Qiu, Matthias Frey, Igor Bjelakovic, Setareh Maghsudi, Slawomir Stanczak, Jingge Zhu |
| 2022 | ITW | Fast Rate Generalization Error Bounds: Variations on a Theme. | Xuetong Wu, Jonathan H. Manton, Uwe Aickelin, Jingge Zhu |
| 2021 | ISIT | Is Phase Shift Keying Optimal for Channels with Phase-Quantized Output? | Neil Irwin Bernardo, Jingge Zhu, Jamie S. Evans |
| 2021 | ISIT | Online Transfer Learning: Negative Transfer and Effect of Prior Knowledge. | Xuetong Wu, Jonathan H. Manton, Uwe Aickelin, Jingge Zhu |
| 2020 | ISIT | Information-theoretic analysis for transfer learning. | Xuetong Wu, Jonathan H. Manton, Uwe Aickelin, Jingge Zhu |
| 2020 | UAI | Semi-Supervised Learning: the Case When Unlabeled Data is Equally Useful. | Jingge Zhu |
| 2017 | ISIT | Compute-forward multiple access (CFMA) with nested LDPC codes. | Erixhen Sula, Jingge Zhu, Adriano Pastore, Sung Hoon Lim, Michael Gastpar |
| 2017 | ITA | On the duality between multiple-access codes and computation codes. | Jingge Zhu, Sung Hoon Lim, Michael Gastpar |
| 2016 | ACSSC | Typical sumsets of lattice points. | Jingge Zhu, Michael Gastpar |
| 2015 | ISIT | On lattice codes for Gaussian interference channels. | Jingge Zhu, Michael Gastpar |
| 2015 | ITW | Compute-and-forward using nested linear codes for the Gaussian MAC. | Jingge Zhu, Michael Gastpar |
| 2014 | ISIT | Gaussian (dirty) multiple access channels: A compute-and-forward perspective. | Jingge Zhu, Michael Gastpar |
| 2013 | ISIT | Lattice codes for many-to-one cognitive interference networks. | Jingge Zhu, Michael Gastpar |
| 2010 | CISS | Stabilization of linear dynamical systems with scalar quantizers under communication constraints. | Jingge Zhu, Slawomir Stanczak, Gunther Reiig |