Zaifeng Pan
Publications by Year
Research Areas
Parallel Computing and Optimization Techniques, Multi-Agent Systems and Negotiation, Graph Theory and Algorithms, Network Packet Processing and Optimization, Advanced Data Storage Technologies
Most-Cited Works
- → Exploring Data Analytics Without Decompression on Embedded GPU Systems(2021)35 cited
- → G-TADOC: Enabling Efficient GPU-Based Text Analytics without Decompression(2021)27 cited
- → BladeDISC: Optimizing Dynamic Shape Machine Learning Workloads via Compiler Approach(2023)10 cited
- → Compressed data direct computing for Chinese dataset on DCU(2023)9 cited
- → RECom: A Compiler Approach to Accelerating Recommendation Model Inference with Massive Embedding Columns(2023)5 cited
- → G-SLIDE: A GPU-Based Sub-Linear Deep Learning Engine via LSH Sparsification(2021)4 cited
- → RecFlex: Enabling Feature Heterogeneity-Aware Optimization for Deep Recommendation Models with Flexible Schedules(2024)
- ScaleSim: Serving Large-Scale Multi-Agent Simulation with Invocation Distance-Based Memory Management(2026)
- → Pancake: Hierarchical Memory System for Multi-Agent LLM Serving(2026)
- → Mercury: Unlocking Multi-GPU Operator Optimization for LLMs via Remote Memory Scheduling(2025)