Yiying Zhang
Associate Professor
Builds data center and serverless systems, including infrastructure for serving and composing large language models.
Yiying Zhang's lab at UCSD works on efficient training & inference, distributed, cloud & edge systems and large language models. 18 papers since 2023, 9 at top venues, mostly NSDI and MLSys. 4 PhD students. 21 alumni, most often to Qualcomm and Apple. Applications close .
At a glance
- papers, 2023–2026
- 5/ year
- at T1 venues
- 50%
- PhD students
- 4
- MS students
- 0
- alumni listed
- 21
Papers by yearfrom the lab homepage, 2023–2026
- 5 papers2026 · T1 2 · collecting
- 6 papers2025 · T1 2
- 3 papers2024 · T1 2
- 4 papers2023 · T1 3
T1 venuesOtherVenues: NSDI, MLSys, ICLR, ICML, OSDI
Research focuspaper titles that use each topic's words
- Large language models5 papers
- Distributed, cloud & edge systems4 papers
- Efficient training & inference3 papers
- data center1 paper
- serverless0 papers
Paper list
From the lab homepage.
20265 papers
- MLSys (T1)Beat the long tail: Distribution-Aware Speculative Decoding for RL Training (opens in a new tab)
- to appear at the IEEE/ACM International Conference on Software EngineeringHow to Save My Gas Fees: Understanding and Detecting Real-world Gas Issues in Solidity Programs (opens in a new tab)
- MLSys (T1)OSWorld-Human: Benchmarking the Efficiency of Computer-Use Agents (opens in a new tab)
- to appear at The Fortieth Annual Conference on Neural Information Processing SystemsSourceBench: Can AI Answers Reference Quality Web Sources? (opens in a new tab)
- to appear at the the International Conference on Object-Oriented Programming Systems, Languages, and ApplicationsSymGPT: Auditing Smart Contracts via Combining Symbolic Execution with Large Language Model (opens in a new tab)
20256 papers
- the Workshop on Machine Learning for Systems Co-Located with NeurIPSAn Early Exploration of Deep-Learning-Driven Prefetching for Far Memory (opens in a new tab)
- Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data MiningCognify: Supercharging Gen-AI Workflows With Hierarchical Autotuning (opens in a new tab)
- the Workshop on Efficient Reasoning Co-Located with NeurIPSDemystifying Delays in Reasoning: A Pilot Temporal and Token Analysis of Reasoning Systems (opens in a new tab)
- NSDI (T1)Portable and High-Performance SmartNIC Programs with Alkali (opens in a new tab)
- ICLR (T1)Preble: Efficient Distributed Prompt Scheduling for LLM Serving (opens in a new tab)
- Second International Workshop on Large Language Models for CodeSC-Bench: A Large-Scale Dataset for Smart Contract Auditing (opens in a new tab)
20243 papers
- OSDI (T1)DRust: Language-Guided Distributed Shared Memory with Fine Granularity, Full Transparency, and Ultra Efficiency (opens in a new tab)
- ICML (T1)InferCept: Efficient Intercept Support for Augmented Large Language Model Inference (opens in a new tab)
- Proceedings of the ACM/SIGDA International Symposium on Field-Programmable Gate Arrays (FPGA '24)SuperNIC: An FPGA-Based, Cloud-Oriented SmartNIC (opens in a new tab)
20234 papers
- NSDI (T1)Canvas: Isolated and Adaptive Swapping for Multi-Applications on Remote Memory (opens in a new tab)
- NSDI (T1)Hermit: Low-Latency, High-Throughput, and Transparent Remote Memory via Feedback-Directed Asynchrony (opens in a new tab)
- ACM SIGOPS Operating Systems Review 57(1): 1-9Make It Real: An End-to-End Implementation of A Physically Disaggregated Data Center (opens in a new tab)
- SOSP (T1)Mira: A Program-Behavior-Guided Far Memory System (opens in a new tab)
Where alumni went21 listed, 67% to industry
Industry 10Academia 5
Most often to
- Qualcomm
- Apple
Also to
- Cornell University
- UC San Diego
- UIUC
Apply to UCSDFall 2027
UCSD CSE Computer Science PhD
- Round
- Single round
- Opens
- —
- GRE
- See program page
- English
- See program page
- Fee
- See program page
Not yet confirmed for this intake.
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