Chaojian Li
11 papers · 2020–2026 · 6 venues · across top CS/AI venues
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.
Achievements
Jump to papers ↓+1 more ↓ Show less ↑
🌍 Conference Polyglot · Silver 🏃 Academic Marathon · Sprint 🌉 Interdisciplinary Bridge · Bronze 🗺️ Taxonomy Completionist (16) 🐣 Hot Topic Early Bird
💎
Century Club · Bronze
Top co-authors
Research topics
Machine Learning
(8)
Application Areas
(7)
Deep Learning
(6)
Artificial Intelligence
(4)
Optimization & Theory · Machine Learning
(4)
Techniques
(4)
Core AI
(3)
Optimization & Theory · Deep Learning
(2)
Computer Vision
(1)
Interdisciplinary
(1)
Analysis
(1)
Architectures
(1)
Education
(1)
Learning Paradigms
(1)
Learning Types
(1)
Keywords
efficient computing
(3)
early bird ticket
(2)
model compression
(2)
lottery ticket hypothesis
(1)
adversarial robustness
(1)
neural architecture search
(1)
efficient training
(1)
novel view synthesis
(1)
computational efficiency
(1)
model pruning
(1)
training efficiency
(1)
machine teaching
(1)
adaptive computation
(1)
diffusion model
(1)
3d gaussian splatting
(1)
model training
(1)
neural rendering
(1)
best-of-n sampling
(1)
personalized education
(1)
vision transformer
(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
3D Gaussian Rendering Can Be Sparser: Efficient Rendering via Learned Fragment Pruning
NeurIPS 2024
Omni-Recon: Harnessing Image-based Rendering for General-Purpose Neural Radiance Fields
ECCV 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
NeurIPS 2021
Drawing Early-Bird Tickets: Toward More Efficient Training of Deep Networks
ICLR 2020
FracTrain: Fractionally Squeezing Bit Savings Both Temporally and Spatially for Efficient DNN Training
NeurIPS 2020
HALO: Hardware-Aware Learning to Optimize
ECCV 2020
ShiftAddNet: A Hardware-Inspired Deep Network
NeurIPS 2020