Jingwen Leng
Distinguished Professor
Works on computing system design for AI and blockchain workloads, including DNN accelerators.
Jingwen Leng's lab at SJTU works on accelerators, chips & architecture. 15 papers since 2023, 12 at top venues, mostly ASPLOS and ISCA. 7 PhD students and 5 master's students. 11 alumni. Applications close .
At a glance
- papers, 2023–2026
- 4/ year
- at T1 venues
- 80%
- PhD students
- 7
- MS students
- 5
- alumni listed
- 11
Papers by yearfrom the lab homepage, 2023–2026
- 0 papers2026 · T1 0 · collecting
- 2 papers2025 · T1 2
- 9 papers2024 · T1 6
- 4 papers2023 · T1 4
T1 venuesOtherVenues: ASPLOS, ISCA, HPCA, NeurIPS
Research focuspaper titles that use each topic's words
- Accelerators, chips & architecture3 papers
- dnn1 paper
- computing system0 papers
- blockchain0 papers
- workloads0 papers
Paper list
From the lab homepage.
20252 papers
- HPCA (T1)MANT: Efficient Low-bit Group Quantization for LLMs via Mathematically Adaptive Numerical Type
- HPCA (T1)VQ-LLM: High-performance Code Generation for Vector Quantization Augmented LLM Inference
20249 papers
- ISCA (T1)A Tale Of Two Domains: Exploring Efficient Architecture Design for Truly Autonomous ThingsBest Paper Nomination (opens in a new tab)
- TCAccelerating Sparse DNNs based on Tiled GEMM (opens in a new tab)
- ASPLOS (T1)Amanda: Unified Instrumentation Framework for Deep Neural Networks (opens in a new tab)
- ISCA (T1)Cicero: Addressing Algorithmic and Architectural Bottlenecks in Neural Rendering by Radiance Warping and Memory Optimizations (opens in a new tab)
- TCDSTC: Dual-Side Sparsity Tensor Core for DNNs Acceleration On Modern GPU Architectures (opens in a new tab)
- ASPLOS (T1)GMLake: Efficient and Transparent GPU Memory Defragmentation for Large-scale DNN Training with Virtual Memory Stitching (opens in a new tab)
- ASPLOS (T1)JUNO: Optimizing High-Dimensional Approximate Nearest Neighbour Search with Sparsity-Aware Algorithm and Ray-Tracing Core Mapping (opens in a new tab)
- NeurIPS (T1)Nimbus: Secure and Efficient Two-Party Inference for Transformers (opens in a new tab)
- TACOPotamoi: Accelerating Neural Rendering via a Unified Streaming Architecture (opens in a new tab)
20234 papers
- HPCA (T1)Chimera: An Analytical Optimizing Framework for Effective Compute-intensive Operators Fusion (opens in a new tab)
- ISCA (T1)ImaGen: A General Framework for Generating Memory- and Power-Efficient Image Processing Accelerators (opens in a new tab)
- ISCA (T1)OliVe: Accelerating Large Language Models via Hardware-friendly Outlier-Victim Pair Quantization (opens in a new tab)
- ASPLOS (T1)uGrapher: High-performance Graph Operator Computation via Unified Abstraction for Graph Neural Networks (opens in a new tab)
Where alumni went11 listed
Apply to SJTUFall 2027
Computer Science PhD (international applicants)
- Round
- Self-funded
- Opens
- —
- GRE
- See program page
- English
- See program page
- Fee
- See program page
Not yet confirmed for this intake.
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- Papers
- The lab homepage
- Members
- Lab homepage
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