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Jiayu Xiao I am a third-year undergraduate student at Harbin Institute of Technology, Shenzhen. I am currently an intern at Alibaba Group, advised by Zhi Zhang, working on AI infrastructure. Previously, I was a research assistant at the Chinese University of Hong Kong, Shenzhen, advised by Minchen Yu. I am interested in systems for machine learning, efficient inference, and the low-level details that make large-scale AI systems work. I also led Chronix, a first-prize OS kernel project in the Computer System Development Capability Competition, under the guidance of Wen Xia. 
Selected Work
Janus: Disaggregating Attention and Experts for Scalable MoE Inference
Submitted to NSDI 2027 / arXiv / PDF JANUS disaggregates attention and MoE layers into independently provisioned GPU worker pools, couples them with adaptive two-phase communication, and uses microsecond-scale activation scheduling plus SLO-aware scaling. It improves per-GPU throughput by up to 4.7× while meeting token-level latency SLOs. 
Chronix: A Multicore Monolithic Operating System
First Prize, Computer System Development Capability Competition August 2025 / Code Chronix is a Rust multicore monolithic kernel for RISC-V 64 and LoongArch 64. Its key features include asynchronous stackless coroutines with multicore load balancing; demand loading, copy-on-write, lazy allocation, and a SLAB allocator; and a Linux-like VFS with dentry/page caches supporting Ext4, FAT32, tmpfs, procfs, and devfs. It also provides POSIX-style signals, PCI/MMIO drivers, and IPv4/IPv6 TCP/UDP networking. I led the team and worked on the file system, signal mechanism, and project build tooling.
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