Han Wang
where else to find them
linkedin:han-wang-97272610
what they talk about
all 9 in the filters
where they keep going back
all 9 in the filters
on a stage with
all 22 in the filters
who talks about the same things
- Kevin Kho7 talks
- Megan Yow2 talks
- Patrick Hoefler11 talks
- Matthew Rocklin13 talks
- Dean Wampler29 talks
- Holden Karau39 talks
| title | conference | date |
|---|---|---|
| PolicyCache: Intra-flow Learning in Congestion Control | NSDI '26 | 2026-05-04 |
PolicyCache claims intra‑flow learning that trains and runs a nonparametric Hoeffding Adaptive Tree (HAT) inside each flow, plus backup exploration and micro… | ||
| Interconnected Capital: Visualizing WAM, PE, RE, and HF Data with Neo4j | NODES 2025 | 2025-11-06 |
Neo4j plus a Snowflake-backed tax data warehouse models legal and investor relationships so queries that took minutes or timed out become fast and actionable… | ||
| What We Learned from Using LLMs in Pinterest | AI Engineer World's Fair 2025 | 2025-06-03 |
Pinterest integrates LLMs into search relevance, fine-tuning a cross-encoder teacher on human labels and using it to label daily logs for semi-supervised… | ||
| Speed is Not All You Need for Data Processing | PyCon US 2024 | 2024-05-15 |
Benchmarks compare Pandas, Polars, DuckDB, Spark and Dask across sizes and show context matters: synthetic TPCH/H2O numbers report DuckDB 80x improvement but… | ||
| Testing Big Data Applications (Spark, Dask, and Ray) | PyData Global 2022 | 2022-12-01 |
Compares Spark Dask and Ray testability, shows a reusable pattern: separate core computing logic from orchestration and cluster setup, unit-test pandas or… | ||
| Testing Big Data Applications (Spark, Dask, and Ray) | PyData NYC 2022 | 2022-11-09 |
Compares concrete testing techniques and a working tool: Spark Dask and Ray create brittle, cluster‑dependent tests while an abstraction — Fugue abstraction… | ||
| Comparing the Different Ways to Scale Python and Pandas Code | PyCon US 2022 | 2022-04-27 |
Fugue provides a concrete bridge: the transform() function runs a single Python/Pandas function on Pandas Spark or Dask by swapping an engine, and a benchmark… | ||
| Scaling Machine Learning Workflows to Big Data with Fugue | KubeCon + CloudNativeCon North America 2021 | 2021-10-11 |
Fugue lets native Python/Pandas logic run unchanged on Spark or Dask by translating a few calls into engine operations; demos convert a row-wise concat and a… | ||
| Simplifying Testing of Spark Applications | Open Source Summit + Embedded Linux Conference + OSPOCon 2021 | 2021-09-27 |
Shows that using Fugue and native Python lets the same tokenization and sentiment code run on pandas or Spark without changing logic, avoiding local cluster… | ||
| Shoal: A Network Architecture for Disaggregated Racks | NSDI 2019 | 2019-02-26 |
Shoal presents a rack fabric built from nanosecond circuit switches and a fully decentralized, traffic‑agnostic static cyclic schedule that forces every node… | ||
| SoNIC: Precise Realtime Software Access and Control of Wired Networks | NSDI 2013 | 2013-04-02 |
SoNIC implements the physical and data‑link layers in software using commodity multi‑core CPUs plus an FPGA transceiver board and PCIe Gen2 DMA (32 Gbps) to… | ||
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