Jinghan Huang

About

I am a Research Scientist at Meta, working on GPU-to-GPU communication for large-scale training and inference. I completed my Ph.D. in Electrical & Computer Engineering at the University of Illinois Urbana-Champaign, advised by Prof. Nam Sung Kim. I received dual bachelor's degrees from Zhejiang University and University of Illinois Urbana-Champaign.

Experience

• 
  Research ScientistMeta
  2025 – Present
• 
  Visiting ScholarIBM Research
  Summer 2022

Education

• 
  Ph.D., Electrical & Computer EngineeringUniversity of Illinois Urbana-Champaign
  2026
• 
  B.S., Electronic & Computer EngineeringZhejiang University
  2020
• 
  B.S., Computer EngineeringUniversity of Illinois Urbana-Champaign
  2020

Selected Publications Full list on Google Scholar →

• TiNA: Tiered Network Buffer Architecture for Fast Networking in Chiplet-based CPU
  Siddharth Agarwal*, Tianchen Wang*, Jinghan Huang, Saksham Agarwal, Nam Sung Kim
  ASPLOS 2026
• LILo: Harnessing the On-chip Accelerators in Intel CPUs for Compressed LLM Inference Acceleration
  Hyungyo Kim*, Qirong Xia*, Jinghan Huang, Nachuan Wang, Jung Ho Ahn, Younjoo Lee, Wajdi K. Feghali, Ren Wang, Nam Sung Kim
  HPCA 2026
• NetZIP: Algorithm/Hardware Co-design of In-network Lossless Compression for Distributed Large Model Training
  Jinghan Huang, Hyungyo Kim, Nachuan Wang, Jaeyoung Kang, Hrishi Shah, Eun Kyung Lee, Minjia Zhang, Fan Lai, Nam Sung Kim
  MICRO 2025
• LIA: A Single-GPU LLM Inference Acceleration with Cooperative AMX-Enabled CPU-GPU Computation and CXL Offloading
  Hyungyo Kim, Nachuan Wang, Qirong Xia, Jinghan Huang, Amir Yazdanbakhsh, Nam Sung Kim
  ISCA 2025
• UPP: Universal Predicate Pushdown to Smart Storage
  Ipoom Jeong, Jinghan Huang, Chuxuan Hu, Dohyun Park, Jaeyoung Kang, Nam Sung Kim, Yongjoo Park
  ISCA 2025
• Demystifying a CXL Type-2 Device: A Heterogeneous Cooperative Computing Perspective
  Houxiang Ji, Srikar Vanavasam, Yang Zhou, Qirong Xia, Jinghan Huang, Yifan Yuan, Ren Wang, Pekon Gupta, Bhushan Chitlur, Ipoom Jeong, Nam Sung Kim
  MICRO 2024
• HAL: Hardware-assisted Load Balancing for Energy-efficient SNIC-Host Cooperative Computing
  Jinghan Huang, Jiaqi Lou, Srikar Vanavasam, Xinhao Kong, Houxiang Ji, Ipoom Jeong, Eun Kyung Lee, Danyang Zhuo, Nam Sung Kim
  ISCA 2024
• TAROT: A CXL SmartNIC-Based Defense Against Multi-bit Errors by Row Hammer Attacks
  Chihun Song, Michael Jaemin Kim, Tianchen Wang, Houxiang Ji, Jinghan Huang, Ipoom Jeong, Jaehyun Park, Hwayong Nam, Minbok Wi, Jung Ho Ahn, Nam Sung Kim
  ASPLOS 2024
• Harmonic: Hardware-assisted RDMA Performance Isolation for Public Clouds
  Jiaqi Lou*, Xinhao Kong*, Jinghan Huang, Wei Bai, Nam Sung Kim, Danyang Zhuo
  NSDI 2024
• Demystifying CXL Memory with True CXL-Ready Systems and CXL Memory Devices
  Yan Sun, Yifan Yuan, Zeduo Yu, Reese Kuper, Chihun Song, Jinghan Huang, Houxiang Ji, Siddharth Agarwal, Jiaqi Lou, Ipoom Jeong, Ren Wang, Jung Ho Ahn, Tianyin Xu, Nam Sung Kim
  MICRO 2023
• Making Sense of Using a SmartNIC to Reduce Datacenter Tax from SLO and TCO Perspectives
  Jinghan Huang, Jiaqi Lou, Yan Sun, Tianchen Wang, Eun Kyung Lee, Nam Sung Kim
  IISWC 2023Best Paper Runner-Up
• STYX: Exploiting SmartNIC Capability to Reduce Datacenter Memory Tax
  Houxiang Ji, Mark Mansi*, Yan Sun*, Yifan Yuan, Jinghan Huang, Reese Kuper, Michael M. Swift, Nam Sung Kim
  ATC 2023
• RAMBDA: RDMA-driven Acceleration Framework for Memory-intensive µs-scale Datacenter Applications
  Yifan Yuan, Jinghan Huang, Yan Sun, Tianchen Wang, Jacob Nelson, Dan Ports, Yipeng Wang, Ren Wang, Charlie Tai, Nam Sung Kim
  HPCA 2023

Professional Services & Activities

• Artifact Evaluation Committee: ASPLOS 2025, MICRO 2024, SIGCOMM 2024, ATC 2024, OSDI 2024
• Reviewer: ICECCME 2025, AICAS 2025, ICECCME 2024, ICECET 2024, AICAS 2023