Skip to content
conftrace_

Xin Jin

119 papers · 2015–2026 · 14 venues · across top CS/AI venues

This profile combines several different researchers. Authors are keyed by name, and this name's papers fall into 24 separate collaboration groups - the largest holds only 45% of them. Pick the group below that matches the researcher you mean. How a shared name is split.

Achievements are not shown for a combined profile - each one describes a single researcher's record, which this is not.

Which Xin Jin?

11 groups of papers that share co-authors internally but none with each other - each most likely a different researcher. Pick one to see its papers.

with Xuanzhe Liu, Zili Zhang, Yinmin Zhong 26 papers · 2018–2026 · NSDI, OSDI, ICML Hide ▲
DistRS: Disaggregated Reward Service for RLVR with Batch-Level Constraint NSDI 2026 FastServe: Iteration-Level Preemptive Scheduling for Large Language Model Inference NSDI 2026 HydraServe: Minimizing Cold Start Latency for Serverless LLM Serving in Public Clouds NSDI 2026 Iceberg: Automated Verification of DNS Authoritative Engines via Just-in-Time Summarization NSDI 2026 KUBEDIRECT: Unleashing the Full Power of the Cluster Manager for Serverless Computing NSDI 2026 ServeGen: Workload Characterization and Generation of Large Language Model Serving in Production NSDI 2026 MeshTest: End-to-End Testing for Service Mesh Traffic Management NSDI 2025 Optimizing RLHF Training for Large Language Models with Stage Fusion NSDI 2025 Burstable Cloud Block Storage with Data Processing Units OSDI 2024 DistServe: Disaggregating Prefill and Decoding for Goodput-optimized Large Language Model Serving OSDI 2024 Fast Vector Query Processing for Large Datasets Beyond GPU Memory with Reordered Pipelining NSDI 2024 Jolteon: Unleashing the Promise of Serverless for Serverless Workflows NSDI 2024 MegaScale: Scaling Large Language Model Training to More Than 10,000 GPUs NSDI 2024 dLoRA: Dynamically Orchestrating Requests and Adapters for LoRA LLM Serving OSDI 2024 AlpaServe: Statistical Multiplexing with Model Parallelism for Deep Learning Serving OSDI 2023 Fast, Approximate Vector Queries on Very Large Unstructured Datasets NSDI 2023 Transparent GPU Sharing in Container Clouds for Deep Learning Workloads NSDI 2023 NetVRM: Virtual Register Memory for Programmable Networks NSDI 2022 Ship Compute or Ship Data? Why Not Both? NSDI 2021 Twenty Years After: Hierarchical Core-Stateless Fair Queueing NSDI 2021 On Efficient Constructions of Checkpoints ICML 2020 Pegasus: Tolerating Skewed Workloads in Distributed Storage with In-Network Coherence Directories OSDI 2020 PipeSwitch: Fast Pipelined Context Switching for Deep Learning Applications OSDI 2020 RackSched: A Microsecond-Scale Scheduler for Rack-Scale Computers OSDI 2020 ASAP: Fast, Approximate Graph Pattern Mining at Scale OSDI 2018 NetChain: Scale-Free Sub-RTT Coordination NSDI 2018
13 papers whose co-authors appear nowhere else under this name