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Welcome! I am an associate professor in the Department of Computer Science at the University of Pittsburgh. My research spans computer architecture and systems, with a focus on multi-GPU architectures, high-performance LLM infrastructure and systems, edge AI, and quantum systems. I received my Ph.D. from Penn State and Master from USTC. Contact:
210 S. Bouquet Street, SENSQ 6115.
Department of Computer Science,
University of Pittsburgh, Pittsburgh, PA, 15213 |
I am looking for 2–3 self-motivated students to join my research group in Fall 2026. Potential research topics include: (i) multi-GPU infrastructure for LLMs, (ii) software–hardware co-design for edge AI, and (iii) fault-tolerant quantum compilers and systems. If you are interested, please send me a brief email along with your CV.
Pinned. Serving ASPLOS 2026 General Co-Chairs with Dr.Vijaykrishnan Narayanan from Penn State.
11/2025. Collaborating with URI Physics, CMU, PQI, and Pitt Physics on a 5M quantum project. Thanks to NSF. (Pitt News)
05/2025. Promoted to Associate Professor with Tenure from Sep 1st 2025 :-)
06/2025. One paper accepted ICCAD 2025.
05/2025. One paper accepted ICML 2025.
04/2025. Congrats to Bingyao Li, who will join CSE@UCRiverside as a Tenure-Track Assistant Professor!
04/2025. Congrats to Yue Dai, who will join CS@IIT as a Tenure-Track Assistant Professor!
Sheng Li,(Ph.D. candidate)
Yueqi Wang, (Ph.D. candidate)
Yingheng Li, (Ph.D. candidate)
Haoqing Yang, (Ph.D. candidate)
(ICML 2025) MemFreezing: A Novel Adversarial Attack on Temporal Graph Neural Networks under Limited Future Knowledge.
(ASPLOS 2025) Cascade: A Dependency-aware Efficient Training Framework for Temporal Graph Neural Network.
(ASPLOS 2025) Pruner: A Draft-then-Verify Exploration Mechanism to Accelerate Tensor Program Tuning.
(ICLR 2025) Mutual Effort for Efficiency: A Similarity-based Token Pruning for Vision Transformers in Self-Supervised Learning.
(MICRO 2024) STAR: Sub-Entry Sharing-Aware TLB for Multi-Instance GPU.
(ASPLOS 2024) QRCC: Evaluating Large Quantum Circuits on Small Quantum Computers through Integrated Qubit Reuse and Circuit Cutting.
(ICLR 2024) Waxing-and-Waning: a Generic Similarity-based Framework for Efficient Self-Supervised Learning.
(MICRO 2023) SupeRBNN: Randomized Binary Neural Network Using Adiabatic Superconductor Josephson Devices.
(ICLR 2023 Spotlight) SmartFRZ: An Efficient Training Framework using Attention-Based Layer Freezing.
(NeurIPS 2022) Layer Freezing & Data Sieving: Missing Pieces of a Generic Framework for Sparse Training.
(ECCV 2022) You Already Have It: A Generator-Free Low-Precision DNN Training Framework using Stochastic Rounding.
(SIGMETRICS 2021) Mix and Match: Reorganizing Tasks for Enhancing Data Locality.
(PLDI 2021) Distance-in-Time versus Distance-in-Space.
(AAAI 2021) YOLObile: Real-Time Object Detection on Mobile Devices via Compression-Compilation Co-Design.
(PPoPP 2021) Compiler Support for Near Data Computing .
(ISCA 2019) Opportunistic Computing in GPU Architectures.
(SIGMETRICS 2019) Architecture-Aware Approximate Computing.
(SIGMETRICS 2019) Quantifying Data Locality in Dynamic Parallelism in GPUs.
(SIGMETRICS 2019) Computing with Near Data.
(MICRO 2017) Data Movement Aware Computation Partitioning.
(PLDI 2015) Optimizing Off-Chip Accesses in Manycores.
(SIGMETRICS 2015) Memory Row Reuse Distance and its Role in Optimizing Application Performance.
Bingyao Li, (Ph.D. candidate, Next Move: TTAP in CSE@UCRiverside)
Yue Dai, (Ph.D. candidate, co-advise with Dr.Youtao Zhang, Next Move: TTAP in CS@IIT)
Tianao Ge, (Visiting Scholar from HKUST (GZ). Advisor: Dr.Hongyuan Liu)
Mehrnoosh Raoufi, (Ph.D, co-advise with Dr.Youtao Zhang), Next Move: Oracle
Zhongxuan Song (Master)
Weizheng Xu (Master)
Zachary Michael Smith (Master)
Thomas Matthew Dicarlo (Master)
Antony Paul (Master)
Yuan Yao (Master, Next move: Bloomberg LP)
Ziyu Zhang (Master, Next move: Apple)
Yilun Zhao (Ph.D. candidate, Next move: Ph.D.@ICT-CAS)
Qi Xue (Undergrad, Next move: MS at UPenn)
Updated 11/2025