 |
朱竞舸 Jingge Zhu, Dr ès sc. Department of Electrical and Electronic Engineering Office: EEE Building, Level 5, Room 5.7 Phone: +61390354708 Email: jingge.zhu at unimelb.edu.au |
News
07/2023 Paper Coded distributed image classification accepted to MLSP 2023.
04/2023 Two papers (Learning channel codes, CFMA for MIMO channel) accepted to ISIT 2023.
04/2023 Paper Design and Analysis of Hardware-limited Non-uniform Task-based Quantizers accepted to IEEE Transactions on Signal Processing.
03/2023 Paper On the tightness of information-theoretic bounds posted on arXiv.
03/2023 We are looking for a Research Fellow on Information Theory and Machine Learning. (Click here for more details).
02/2023 Two papers (paper on online learning, paper on task-based quantizers) accepted to ICCASP 2023.
02/2023 Paper Information-theoretic Analysis for Transfer Learning posted on arXiv.
02/2023 Two papers (Capacity-achieving Input with Polar Quantizaton, One-bit MIMO with Analog Combining) published in IEEE Trans. on Communications.
05/2022 Paper A Learning-Based Approach to Approximate Coded Computation posted on arXiv.
05/2022 Paper Fast Rate Generalization Error Bounds: Variations on a Theme posted on arXiv.
05/2022 Paper On Causality in Domain Adaptation and Semi-Supervised Learning: an Information-Theoretic Analysis posted on arXiv.
05/2022 Paper On the Capacity-Achieving Input of Channels with Phase Quantization appeared in IEEE Transactions on Information Theory.
11/2021 Two fully funded PhD positions available (Details, positions fulfilled).
09/2021 Paper A Bayesian Approach to (Online) Transfer Learning: Theory and Algorithms posted on arXiv.
08/2021 Paper On Minimizing Symbol Error Rate Over Fading Channels with Low-Resolution Quantization (accepted by IEEE Tran. on Communications) posted on arXiv.
05/2021 Two papers (Paper on transfer learning, Paper on capacity of quantized-output channels) accepted to ISIT 2021.
07/2020 I will be serving as a Social Media co-chair for ISIT 2021. Come join us in Melbourne in 2021!
05/2020 Paper Semi-supervised learning: the case when unlabeled data is equally useful (accepted to UAI 2020) is posted on arXiv.
05/2020 Paper Information-theoretic analysis for transfer learning (accepted to ISIT 2020) is posted on arXiv.
04/2020 We are organizing Australian Communication Theory Webinar (a new “AusCTW”). Sign up and give a talk here!
03/2019 Invited talk at AusCTW 2019 (slides).