Zhijie Xie

ORCID: 0000-0002-2003-0472
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About
Contact & Profiles
Research Areas
  • RNA modifications and cancer
  • RNA Research and Splicing
  • Cancer-related molecular mechanisms research
  • Privacy-Preserving Technologies in Data
  • Age of Information Optimization
  • Spine and Intervertebral Disc Pathology
  • Anesthesia and Pain Management
  • Full-Duplex Wireless Communications
  • Orthopaedic implants and arthroplasty
  • Stochastic Gradient Optimization Techniques
  • Energy Harvesting in Wireless Networks
  • Software-Defined Networks and 5G
  • Mobile Crowdsensing and Crowdsourcing

Children's Hospital of Philadelphia
2022-2024

Hong Kong University of Science and Technology
2022-2023

University of Hong Kong
2022-2023

University of California, Los Angeles
2019-2020

Weihai Maternal and Child Health Hospital
2019

Qingdao University
2019

One of the fundamental issues for Federated Learning (FL) is data heterogeneity, which causes accuracy degradation, slow convergence, and communication bottleneck issue. Although impact heterogeneity on supervised FL has been widely studied, related investigation Reinforcement (FRL) still in its infancy. In this paper, we first define type level FRL systems. By inspecting connection between global local objective functions, prove that training can benefit objective, if update properly...

10.1109/jsac.2023.3242734 article EN IEEE Journal on Selected Areas in Communications 2023-02-06

We sought to define the landscape of alternative pre-mRNA splicing in prostate cancers and relationship exon choice known cancer driver alterations. To do so, we compiled a metadataset composed 876 RNA-sequencing (RNA-Seq) samples from five publicly available sources representing range phenotypes normal tissue drug-resistant metastases. subjected these exon-level analysis with rMATS-turbo, purpose-built software designed for large-scale analyses splicing, identified 13,149 high-confidence...

10.1073/pnas.1915975117 article EN cc-by-nc-nd Proceedings of the National Academy of Sciences 2020-02-21

Nucleus pulposus (NP) cell apoptosis is a classical cellular character during intervertebral disc degeneration (IDD). Previous studies have shown that inflammatory cytokine-induced NP plays an important role in degeneration. The present study was aimed to investigate whether resveratrol can suppress IL-1β-mediated and the potential signal transduction pathway. Experimental rat cells were treated with culture medium containing IL-1β (20 ng/ml) for 7 days. Control cultured baseline medium....

10.1042/bsr20190043 article EN Bioscience Reports 2019-03-01

Radio access network (RAN) slices can provide various customized services for next-generation wireless networks. Thus, multiple performance metrics of different types RAN need to be jointly optimized. However, existing efforts in multi-objective optimization problem (MOOP) slicing are only the scalar form, which is difficult achieve simultaneous optimization. In this paper, we consider a non-scalar MOOP with three slices, <italic xmlns:mml="http://www.w3.org/1998/Math/MathML"...

10.1109/tvt.2023.3268671 article EN IEEE Transactions on Vehicular Technology 2023-04-20

RNA sequencing (RNA-seq) is a powerful technology for studying human transcriptome variation. We introduce PAIRADISE (Paired Replicate Analysis of Allelic Differential Splicing Events), method detecting allele-specific alternative splicing (ASAS) from RNA-seq data. Unlike conventional approaches that detect ASAS events one sample at time, aggregates signals across multiple individuals in population. By treating the two alleles an individual as paired, and sharing heterozygous SNP replicates,...

10.1016/j.ajhg.2020.07.005 article EN cc-by-nc-nd The American Journal of Human Genetics 2020-08-10

As a distributed learning paradigm, Federated Learning (FL) faces the communication bottleneck issue due to many rounds of model synchronization and aggregation. Heterogeneous data further deteriorates situation by causing slow convergence. Although impact heterogeneity on supervised FL has been widely studied, related investigation for Reinforcement (FRL) is still in its infancy. In this paper, we first define type level policy gradient based FRL systems. By inspecting connection between...

10.48550/arxiv.2204.08125 preprint EN other-oa arXiv (Cornell University) 2022-01-01
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