Chaojian Li
11 papers · 2020–2026 · 6 conferences · across top CS/AI conferences
Achievements
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π Cross-Pollinator (13) π Conference Polyglot (5) π Academic Marathon (5) π Renaissance Researcher (5) π Interdisciplinary Bridge
πΊοΈ
Taxonomy Completionist
(16)
π§
Keyword Pioneer
π£
Hot Topic Early Bird
π
Century Club
(10)
Conferences
NIPS (4)
ECCV (2)
ICLR (2)
AAAI (1)
CVPR (1)
EACL (1)
Top co-authors
Research topics
Keywords
efficient computing
(3)
model compression
(2)
vision transformer
(1)
efficient training
(1)
adversarial robustness
(1)
neural rendering
(1)
computational efficiency
(1)
machine teaching
(1)
adaptive computation
(1)
diffusion model
(1)
model training
(1)
3d gaussian splatting
(1)
novel view synthesis
(1)
best-of-n sampling
(1)
personalized education
(1)
low-precision training
(1)
beam search
(1)
gradient quantization
(1)
iterative machine teaching
(1)
process reward model
(1)
Papers
Think Hard Only When Needed: A Hybrid Best-of-N and Beam Search for Efficient Test-Time Compute
EACL 2026
Early-Bird Diffusion: Investigating and Leveraging Timestep-Aware Early-Bird Tickets in Diffusion Models for Efficient Training
CVPR 2025
Omni-Recon: Harnessing Image-based Rendering for General-Purpose Neural Radiance Fields
ECCV 2024
3D Gaussian Rendering Can Be Sparser: Efficient Rendering via Learned Fragment Pruning
NIPS 2024
MIA-Former: Efficient and Robust Vision Transformers via Multi-Grained Input-Adaptation
AAAI 2022
HW-NAS-Bench: Hardware-Aware Neural Architecture Search Benchmark
ICLR 2021
Locality Sensitive Teaching
NIPS 2021
FracTrain: Fractionally Squeezing Bit Savings Both Temporally and Spatially for Efficient DNN Training
NIPS 2020
ShiftAddNet: A Hardware-Inspired Deep Network
NIPS 2020
HALO: Hardware-Aware Learning to Optimize
ECCV 2020
Drawing Early-Bird Tickets: Toward More Efficient Training of Deep Networks
ICLR 2020