Kejing Xia

Kejing Xia

Ph.D. student @ Georgia Tech

Hello 👋 ! I am Kejing Xia (夏可敬), a first-year Ph.D. student in Computer Science at Georgia Tech, where I work in the GTISC Lab with Prof. Wenke Lee.

Prior to my Ph.D., I earned my B.Eng. in Communication Engineering (Artificial Intelligence Track) from Wuhan University. Before that, I studied at the No.1 Middle School Affiliated to Central China Normal University (华中师大一附中).

You can view my CV here. (Updated in Sept. 2025)

Research Interests

  • LLM Reasoning : Latent reasoning, LLM alignment.
  • Efficient LLMs : Long-context modeling, Training-free optimization.
  • 3D Vision : Neural Radiance Fields, Event-based vision, 3D Gaussian Splatting.

📢 News

  • 2025.09 Our paper D2GS is accepted by NeurIPS 2025.
  • 2025.05 Our paper LAMB is accepted by ACL 2025.
  • 2025.02 Our paper LongMamba is accepted by ICLR 2025.
  • 2024.06 Our paper A Spatio-temporal Event Transformer on Versatile Tasks for Human Behavior Analysis is accepted by IJCAI-W MiGA 2024.
  • 2024.05 I won National Second Prize and 5th Place (top 9%) in RoboCup China Open as team leader.
  • 2023.11 I won Province First Prize in China Undergraduate Mathematical Contest in Modeling.

📝 Publications

D²GS
D2GS: Dense Depth Regularization for LiDAR-free Urban Scene Reconstruction
NeurIPS 2025
Paper
LAMB
LAMB: A Training-Free Method to Enhance the Long-Context Understanding of SSMs via Attention-Guided Token Filtering
ACL 2025
Paper Code
LongMamba
LongMamba: Enhancing Mamba’s Long-Context Capabilities via Training-Free Receptive Field Enlargement
ICLR 2025
Paper Code

🔬 Research Experience

  • EIC Lab, Georgia Tech (2024-2025) - Co-led projects on LongMamba and LAMB, proposing training-free approaches to extend context length in state-space models.
  • Signal Processing Lab, Wuhan University (2023-2024) - Co-led BRS-E2NeRF, developing event-enhanced NeRFs to reconstruct sharp images from rolling shutter blur.
  • Center for Machine Vision and Signal Analysis (CMVS), University of Oulu (2023-2024) - Led research on event-based human behavior analysis with spatio-temporal transformers, presented at IJCAI 2024 (MiGA Workshop).

💼 Internship

  • Bosch Innovation Software Development (2024-2025) - Project leader for D2GS, combining diffusion depth enhancement with 3D Gaussian models for LiDAR-free scene reconstruction.

🏅 Competition

  • RoboCup China Open (2024) - Captain, National First Prize.
  • Student Innovation & Entrepreneurship Project (2023-2024) - National Prize for All-in-Focus Seeing Through Occlusions with Event and Frame.
  • China Undergraduate Mathematical Contest in Modeling (2023) - Hubei Province First Prize.
  • Huazhong Cup Mathematical Modeling Challenge (2023) - National First Prize.

🏆 Awards

  • Wuhan University First-Class Academic Scholarship (2023-2024).
  • “Luojia” Distinguished Exchange Student Scholarship (2023-2024).
  • Wuhan University Merit Students (2021-2022, 2023-2024).
  • Wuhan University Outstanding Student (2022-2023).
  • Wuhan University Merit and Outstanding Academic Scholarships (2021-2023).