Demo Data from EDBT 2026 / reviewers in the wild / expert
Hanfeng Lu
dblp:367/3844
· DBLP profile ↗
3ranked-venue papers
0as first author
3since 2021 · last 2026
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Systems, architecture and hardware · 2 · 2 since 2021Computer networks · 1 · 1 since 2021
Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.
| Computer architecture, parallel and distributed computing, and storage systems
3 papers |
Distributed systems · 44% Cloud and datacenter computing · 29% Hardware accelerators and domain-specific architectures · 13% |
Topics — the 9 heaviest of 10, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Hardware accelerators and domain-specific architectures
machine learning accelerator |
1.1 | 2 | 2025 | Toppings: CPU-Assisted, Rank-Aware Adapter Serving for LLM Inference · USENIX ATC 2025 Katz: Efficient Workflow Serving for Diffusion Models with Many Adapters · USENIX ATC 2025 |
Distributed systems › distributed machine learning
distributed training |
1.0 | 1 | 2026 | Attack of the Bubbles: Straggler-Resilient Pipeline Parallelism for Large Model Training · NSDI 2026 |
Distributed systems
fault tolerance |
1.0 | 1 | 2026 | Attack of the Bubbles: Straggler-Resilient Pipeline Parallelism for Large Model Training · NSDI 2026 |
Parallel and multicore computing
pipeline parallelism |
1.0 | 1 | 2026 | Attack of the Bubbles: Straggler-Resilient Pipeline Parallelism for Large Model Training · NSDI 2026 |
Distributed systems › distributed data processing
straggler mitigation |
1.0 | 1 | 2026 | Attack of the Bubbles: Straggler-Resilient Pipeline Parallelism for Large Model Training · NSDI 2026 |
Distributed systems › distributed machine learning
straggler tolerance |
1.0 | 1 | 2026 | Attack of the Bubbles: Straggler-Resilient Pipeline Parallelism for Large Model Training · NSDI 2026 |
Cloud and datacenter computing › inference serving
diffusion model serving |
0.9 | 1 | 2025 | Katz: Efficient Workflow Serving for Diffusion Models with Many Adapters · USENIX ATC 2025 |
Cloud and datacenter computing
inference serving |
0.9 | 1 | 2025 | Katz: Efficient Workflow Serving for Diffusion Models with Many Adapters · USENIX ATC 2025 |
Cloud and datacenter computing › inference serving
LLM serving |
0.9 | 1 | 2025 | Toppings: CPU-Assisted, Rank-Aware Adapter Serving for LLM Inference · USENIX ATC 2025 |
Methods — techniques the papers use, named apart from their topics
pipeline parallelism · 1.0model parallelism · 1.0
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2026 | Attack of the Bubbles: Straggler-Resilient Pipeline Parallelism for Large Model Training
Tianyuan Wu, Lunxi Cao, Hanfeng Lu, Xiaoxiao Jiang, Yinghao Yu, Siran Yang, Jiamang Wang, Lin Qu, Liping Zhang 0013, Wei Wang 0030 |
NSDI | 3 |
| 2025 | Toppings: CPU-Assisted, Rank-Aware Adapter Serving for LLM Inference
Suyi Li 0002, Hanfeng Lu, Tianyuan Wu, Minchen Yu, Qizhen Weng 0001, Xusheng Chen, Yizhou Shan, Binhang Yuan, Wei Wang 0030 |
USENIX ATC | 2 |
| 2025 | Katz: Efficient Workflow Serving for Diffusion Models with Many Adapters
Suyi Li 0002, Lingyun Yang, Xiaoxiao Jiang, Hanfeng Lu, Dakai An, Zhipeng Di, Weiyi Lu, Yinghao Yu, Tao Lan, Lin Qu, Liping Zhang 0013, Wei Wang 0030 |
USENIX ATC | 4 |