About
I am now an Associate Professor at Research Center for Advanced Computer System (ACS), Institute of Computing Technology, Chinese Academy of Sciences (ICT-CAS).
I got my Ph.D. degree in January 2016 in Institute of Software, Chinese Academy of Sciences,
advised by Prof. Tao Huang.
I received my bachelor degree in Computer Science from University of Sciences and Technology of China in 2009.
Research interests:
My research interests include operating systems, distributed systems, cloud computing, with a current focus on software-defined cloud computing.
Selected Publications
2027
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Towards Leveraging the Software Ecosystem to Facilitate Hardware Verification.
2026
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SieveServe: Adaptive Visual Token Pruning for Reliable and Efficient Multimodal LLM Inference.
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LiveResize: Runtime Dynamic GPU Reallocation for LLM Post-Training.
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HOLA: A Hostless Co-Simulation Architecture for Hardware-Accelerated CPU Verification.
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Democratizing and Accelerating Hardware Verification with Software-Native Optimization.
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Lyra: A Hardware-Accelerated RISC-V Verification Framework with Generative Model-Based Processor Fuzzing.
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RaidenSwap: A Multi-Swap Remote System for Multi-core Applications.
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TraceRTL: Agile Performance Evaluation for Microarchitecture Exploration.
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TurboFuzz: FPGA Accelerated Hardware Fuzzing for Processor Agile Verification.
2025
2024
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INS: Identifying and Mitigating Performance Interference in Clouds via Interference-Sensitive Paths.
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Chaos: Function Granularity Runtime Address Layout Space Randomization for Kernel Module.
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MemServe: Context Caching for Disaggregated LLM Serving with Elastic Memory Pool.
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Inference without Interference: Disaggregate LLM Inference for Mixed Downstream Workloads.
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PathFuzz: Broadening Fuzzing Horizons with Footprint Memory for CPUs.
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PP-Stream: Toward High-Performance Privacy-Preserving Neural Network Inference via Distributed Stream Processing.
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Aceso: Efficient Parallel DNN Training through Iterative Bottleneck Alleviation.
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Function Interaction Risks in Robot Apps: Analysis and Policy-based Solution.
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Panoptic Segmentation with Convex Object Representation.
2023
2022
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Towards Developing High Performance RISC-V Processors Using Agile Methodology.
Selected in IEEE Micro's Top Picks special issue of "most significant papers in computer architecture based on novelty and long-term impact" for 2022
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A Labeled Architecture for Low-Entropy Clouds: Theory, Practice, and Lessons.
2021
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SEER: A Time Prediction Model for CNNs from GPU Kernel’s View.
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PR-Sketch: Monitoring Per-key Aggregation of Streaming Data with Nearly Full Accuracy.
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Omegaflow: A High-Performance Dependency-based Architecture.
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Towards Practical Cloud Offloading for Low-cost Ground Vehicle Workloads.
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Oops! It's Too Late. Your Autonomous Driving System Needs a Faster Middleware.
2020
2019
Earlier
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CryptZip: Squeezing out the Redundancy in Homomorphically Encrypted Backup Data.
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Labeled von Neumann Architecture for Software-Defined Cloud.
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Hug the Elephant: Migrating a Legacy Data Analytics Application to Hadoop Ecosystem.
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VMon: Monitoring and Quantifying Virtual Machine Interference via Hardware Performance Counter.
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Bench4Q: A QoS-Oriented E-Commerce Benchmark.
Awards
- Youth Innovation Promotion Association of Chinese Academy of Sciences, 2019
- 100-Academic-Stars Program, ICT, 2017
