Youhui Zhang
Professor
Works on processor microarchitecture and brain-inspired computing systems, including neuromorphic completeness and toolchains for the Tianjic chip.
Youhui Zhang's lab at Tsinghua works on accelerators, chips & architecture. 20 papers since 2023, 1 at top venues, mostly ASPLOS. 7 PhD students and 1 master's student. 13 alumni. Applications close .
At a glance
- papers, 2023–2026
- 5/ year
- at T1 venues
- 5%
- PhD students
- 7
- MS students
- 1
- alumni listed
- 13
Papers by yearfrom the lab homepage, 2023–2026
- 8 papers2026 · T1 0 · collecting
- 4 papers2025 · T1 1
- 4 papers2024 · T1 0
- 4 papers2023 · T1 0
T1 venuesOtherVenues: ASPLOS
Research focuspaper titles that use each topic's words
- Accelerators, chips & architecture2 papers
- brain-inspired computing2 papers
- computing systems1 paper
- processor0 papers
- chip0 papers
Paper list
From the lab homepage.
20268 papers
- OSDI ‘26Achieving Cloud-Grade SLOs for Local Mixture-of-Experts Inference through CPU–GPU Hybrid Design (opens in a new tab)
- CCS ‘26iEnFlow: Endogenous Control-Flow Attacks via Conditional Branch Prediction on Apple Silicon (opens in a new tab)
- ICS ‘26Look Before You Leap: Precision Instruction Supply via SmartScout (opens in a new tab)
- PPoPP ‘26PANA: A Fine-Grained Runtime-Adaptive Load Balancing for Parallel SpMV on multicore CPUs (opens in a new tab)
- PPoPP ‘26Root-Down Exposure for Maximal Clique Enumeration on GPUs (opens in a new tab)
- MICRO'Towards a Noise-Resilient TAGE via PURE (opens in a new tab)
- ICML ‘26Towards Feedback-to-Plan Decisions for Self-Evolving LLM Agents in CUDA Kernel Generation (opens in a new tab)
- PPoPP ‘26VDHA: Vector-Driven Hash Aggregation for Sparse Matrix–Sparse Vector Multiplication on GPUs (opens in a new tab)
20254 papers
- Euro-Par Best paper candidateAlphaSparseTensor: Discovering Faster Sparse Matrix Multiplication Algorithms on GPUs for LLM Inference (opens in a new tab)
- Journal of Software ‘25BIVM: Compilation Framework for Brain-inspired Computing and Prototype Research (opens in a new tab)
- ASPLOS (T1)Hierarchical Prefetching: A Software-Hardware Instruction Prefetcher for Server Applications (opens in a new tab)
- IEEE CCGrid ‘25SoftGuide: A Hardware-Software Co-design Predictor for Data-Dependent Branches (opens in a new tab)
20244 papers
- PPoPP ‘24A Row Decomposition-based Approach for Sparse Matrix Multiplication on GPUs (opens in a new tab)
- FPL'24DTrans: A Dataflow-transformation FPGA Accelerator with Nonlinear-operators fusion aiming for the Generative Model (opens in a new tab)
- JCST ‘24 Cover ArticleResearch on General-purpose Brain-Inspired Computing Systems (opens in a new tab)
- MICRO ’24Weimin Zheng
20234 papers
- IEEE TPDS ‘24ENLARGE: An Efficient SNN Simulation Framework on GPU Clusters (opens in a new tab)
- IJCNN ‘23FABLE: A Development and Computing Framework for Brain-inspired Learning Algorithms (opens in a new tab)
- MICRO ’23MAICC : A Lightweight Many-core Architecture with In-Cache Computing for Multi-DNN Parallel Inference (opens in a new tab)
- ISLPED ‘23 Best paper candidateMulti-objective optimization for Floating Point Mix-Precision Tuning (opens in a new tab)
Where alumni went13 listed
Apply to TsinghuaFall 2027
Computer Science PhD (international applicants)
- Round
- Main
- Opens
- GRE
- See program page
- English
- Per school catalog
- Fee
- RMB 800
Not yet confirmed for this intake.
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