Jianfei Chen
40 papers · 2013–2025 · 5 conferences · across top CS/AI conferences
Achievements
Jump to papers ↓+13 more ↓ Show less ↑
πΊοΈ Taxonomy Completionist (10) π§ Keyword Pioneer π Renaissance Researcher (5) π Interdisciplinary Bridge π Conference Polyglot (5)
π
Cross-Pollinator
(15)
πΊοΈ
Taxonomy Completionist
(10)
π§
Keyword Pioneer
π
Grand Slam
π
Triple Crown
π€
Dynamic Duo
(34)
π¬
Deep Specialist
(11)
π
Keyword Champion
(2)
π
Trend Setter
ποΈ
Keyword Collector
(121)
β‘
Prolific Year
(7)
π
Century Club
(40)
π₯
Unstoppable
(6)
Conferences
ICML (18)
NIPS (11)
ICLR (9)
AAAI (1)
ICCV (1)
Top co-authors
Keywords
diffusion model
(5)
model compression
(4)
generative model
(4)
ode solver
(3)
data augmentation
(3)
gradient quantization
(2)
training stability
(2)
integer arithmetic
(2)
model quantization
(2)
likelihood estimation
(2)
image generation
(2)
control theory
(2)
sparse training
(2)
gibbs sampling
(2)
knowledge distillation
(2)
variance reduction
(2)
bayesian inference
(2)
maximum likelihood
(2)
normalizing flow
(2)
memory efficient training
(2)
Papers
SpargeAttention: Accurate and Training-free Sparse Attention Accelerating Any Model Inference
ICML 2025
Pruning Large Language Models with Semi-Structural Adaptive Sparse Training
AAAI 2025
Task-Specific Zero-shot Quantization-Aware Training for Object Detection
ICCV 2025
SageAttention: Accurate 8-Bit Attention for Plug-and-play Inference Acceleration
ICLR 2025
ReMoE: Fully Differentiable Mixture-of-Experts with ReLU Routing
ICLR 2025
On the Optimization and Generalization of Two-layer Transformers with Sign Gradient Descent
ICLR 2025
COAT: Compressing Optimizer states and Activations for Memory-Efficient FP8 Training
ICLR 2025
Elucidating the Preconditioning in Consistency Distillation
ICLR 2025
Diffusion Bridge Implicit Models
ICLR 2025
Visual Generation Without Guidance
ICML 2025
Oscillation-Reduced MXFP4 Training for Vision Transformers
ICML 2025
FrameBridge: Improving Image-to-Video Generation with Bridge Models
ICML 2025
Sparse Video-Gen: Accelerating Video Diffusion Transformers with Spatial-Temporal Sparsity
ICML 2025
SageAttention2: Efficient Attention with Thorough Outlier Smoothing and Per-thread INT4 Quantization
ICML 2025
C-GAIL: Stabilizing Generative Adversarial Imitation Learning with Control Theory
NIPS 2024
Consistency Diffusion Bridge Models
NIPS 2024
Accelerating Transformer Pre-training with 2:4 Sparsity
ICML 2024
Jetfire: Efficient and Accurate Transformer Pretraining with INT8 Data Flow and Per-Block Quantization
ICML 2024
S-STE: Continuous Pruning Function for Efficient 2:4 Sparse Pre-training
NIPS 2024
Efficient Backpropagation with Variance Controlled Adaptive Sampling
ICLR 2024
Stabilizing GANsβ Training with Brownian Motion Controller
ICML 2023
Preserving Pre-trained Features Helps Calibrate Fine-tuned Language Models
ICLR 2023
Training Transformers with 4-bit Integers
NIPS 2023
DPM-Solver-v3: Improved Diffusion ODE Solver with Empirical Model Statistics
NIPS 2023
Memory Efficient Optimizers with 4-bit States
NIPS 2023
Improved Techniques for Maximum Likelihood Estimation for Diffusion ODEs
ICML 2023
Contrastive Energy Prediction for Exact Energy-Guided Diffusion Sampling in Offline Reinforcement Learning
ICML 2023
DPM-Solver: A Fast ODE Solver for Diffusion Probabilistic Model Sampling in Around 10 Steps
NIPS 2022
Fast Lossless Neural Compression with Integer-Only Discrete Flows
ICML 2022
Maximum Likelihood Training for Score-based Diffusion ODEs by High Order Denoising Score Matching
ICML 2022
GACT: Activation Compressed Training for Generic Network Architectures
ICML 2022
Implicit Normalizing Flows
ICLR 2021
ActNN: Reducing Training Memory Footprint via 2-Bit Activation Compressed Training
ICML 2021
VFlow: More Expressive Generative Flows with Variational Data Augmentation
ICML 2020
A Statistical Framework for Low-bitwidth Training of Deep Neural Networks
NIPS 2020
Stochastic Training of Graph Convolutional Networks with Variance Reduction
ICML 2018
Stochastic Expectation Maximization with Variance Reduction
NIPS 2018
Population Matching Discrepancy and Applications in Deep Learning
NIPS 2017
Bayesian Max-margin Multi-Task Learning with Data Augmentation
ICML 2014
Scalable Inference for Logistic-Normal Topic Models
NIPS 2013