Hai Jin
where else to find them
linkedin:hai-jin-24ab2664
what they talk about
all 8 in the filters
where they keep going back
no series more than once — all 7 in the filters
on a stage with
all 56 in the filters
who talks about the same things
- Long Zheng5 talks
- Yu Huang5 talks
- Xiaofei Liao11 talks
- Haifeng Liu4 talks
- Rui Mao4 talks
- Chenlin Ma5 talks
| title | conference | date |
|---|---|---|
| From Intention to Practice: Towards Systematic Validation of NIDS Rule Enforcement | NSDI '26 | 2026-05-04 |
NIDSFuzz reads deployed rules and converts signatures into buffer constraints to synthesize packets that guarantee semantic alignment with targets, then… | ||
| Fast Distributed Transactions for RDMA-based Disaggregated Memory | USENIX ATC '25 | 2025-07-07 |
HDTX is a distributed transaction system for RDMA disaggregated memory that claims up to 88.3% and 72.1% lower latency and up to 2.08× and 84.7% higher… | ||
| PopFetcher: Towards Accelerated Mixture-of-Experts Training Via Popularity... | USENIX ATC '25 | 2025-07-07 |
PopFetcher implements sliding-window popularity prediction to identify hot experts and does expert-wise prefetching of their parameters into local GPU memory… | ||
| Towards High-Performance Transactional Stateful Serverless Workflows with... | USENIX ATC '25 | 2025-07-07 |
RTSFaaS is an RDMA-capable FaaS framework that implements a lease-based concurrency protocol, builds a global task-precedence graph, and transfers leases with… | ||
| Towards High-throughput and Low-latency Billion-scale Vector Search via CPU/GPU... | FAST '25 | 2025-02-25 |
FusionANNS is a working SSD + single entry‑level GPU ANNS that uses CPU/GPU collaborative filtering to keep PQ‑compressed vectors in GPU memory, avoid… | ||
| AegonKV: A High Bandwidth, Low Tail Latency, and Low Storage Cost KV-Separated LSM Store | FAST '25 | 2025-02-25 |
AegonKV moves garbage-collection for KV-separated LSM storage onto a Samsung first-generation SmartSSD-based GC offloading, implementing a bitmap valid map and… | ||
| StreamBox: A Lightweight GPU SandBox for Serverless Inference Workflow | USENIX ATC 2024 | 2024-07-10 |
StreamBox replaces heavy per-function CUDA contexts with concurrent GPU streams plus an auto-scaling memory pool that profiles models offline, does lazy… | ||
| Scalable Billion-point Approximate Nearest Neighbor Search Using SmartSSDs | USENIX ATC 2024 | 2024-07-10 |
SmartANNS implements hierarchical indices on host plus Samsung SmartSSDs with FPGA acceleration, dynamic task scheduling and a gradient-boosted shard pruning… | ||
| Cyclosa: Redundancy-Free Graph Pattern Mining via Set Dataflowi | USENIX ATC '23 | 2023-07-10 |
Cyclosa implements a set dataflow prototype that rewrites pattern-centric mining into directed set operators (generator, combiner, reducer), runs on a single… | ||
| Machine Learning Acceleration in an Embedded World | CODES+ISSS 2022 | 2022-10-07 |
Four short systems with concrete claims and artifacts: a crossbar-friendly DNN pruning method that extracts reusable segment shapes to map many filters into… | ||
| Scaph: Scalable GPU-Accelerated Graph Processing with Value-Driven Differential... | USENIX ATC '20 | 2020-07-15 |
Scaph is a GPU-accelerated system that partitions graphs into host-resident subgraphs and adaptively classifies each iteration whether a subgraph is high-value… | ||
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