• Unleashing Multi-GPU Computing to the Next-Level. University of California, Los Angeles
• Unleashing Multi-GPU Computing to the Next-Level. University of California, Irvine
• Unleashing Multi-GPU Computing to the Next-Level. University of Southern California
• Expediting Continual Online Learning on Edge Platforms through Software-Hardware Co-designs. NSF PI Meeting
• Toward Fault-tolerant and Scalable Quantum Computing. QCE 2025
• Unleashing Multi-GPU Computing to the Next-Level. ISCA 2025 Forum
• Reinforcement Learning-Guided Graph State Generation in Photonic Quantum Computers. ISCA 2025
• Towards High-Fidelity, Scalable, and Accessible Quantum Computing Systems. StableQ Workshop co-located with MICRO 2024
• Towards High-Fidelity, Scalable, and Accessible Quantum Computing Systems. Pitt SCI Dean's Spotlight
• Compilation in Measurement-Based Quantum Computing. Pitt Quantum Institute 2024
• Towards Efficient and Scalable Computing for Multi-GPUs. Shanghai Jiao Tong University
• Towards Efficient and Scalable Computing for Multi-GPUs. University of Science and Technology of China
• Towards Efficient and Scalable Computing for Multi-GPUs. Sun Yat-sen University
• Towards Efficient and Scalable Computing for Multi-GPUs. The Hong Kong University of Science and Technology
• CEGMA: Coordinated Elastic Graph Matching Acceleration for Graph Matching Networks. HPCA 2023
• Embracing Heterogeneity in Modern GPUs. Pitt Momentum 2021
• Mix and Match: Reorganizing Tasks for Enhancing Data Locality. SIGMETRICS 2021
• Optimizing Quantum Circuit Simulation/Emulation on HPC Platforms. Pitt Quantum Institute 2020
• Enhancing address translation in GPUs through compression. Intel
• Enhancing Address Translations in Throughput Processors via Compression. PACT 2020
• Co-Optimizing Memory-Level Parallelism and Cache-Level Parallelism. PLDI 2019
• Computing with Near Data. SIGMETRICS 2019
• Irregularity-aware Computation and Data Management in Manycore Systems. Job talk at multiple universities, Spring 2019
• Quantifying and Optimizing Data Access Parallelism on Manycores. MASCOTS 2018
• Scheduling in the cloud. MASCOTS 2018
• Enhancing Computation-to-Core Assignment with Physical Location Information. PLDI 2018
• Data Movement Aware Computation Partitioning. MICRO 2017
• DEMM: a Dynamic Energy-saving mechanism for Multicore. MASCOTS 2017
• Controlled Kernel Launch for Dynamic Parallelism in GPUs. HPCA 2017
• Improving Bank-Level Parallelism for Irregular Applications. MICRO 2016
• Memory Row Reuse Distance and its Role in Optimizing Application Performance. SIGMETRICS 2015