Jianfei Chen

According to our database, Jianfei Chen authored at least 88 papers between 2013 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

KernelBenchX: A Comprehensive Benchmark for Evaluating LLM-Generated GPU Kernels.

Han Wang, Jintao Zhang, Kai Jiang, Haoxu Wang, Jianfei Chen, Jun Zhu

CoRR, May, 2026

Deterministic Differentiable Structured Pruning for Large Language Models.

Weiyu Huang, Pengle Zhang, Xiaolu Zhang, Jun Zhou, Jun Zhu, Jianfei Chen

CoRR, March, 2026

SageBwd: A Trainable Low-bit Attention.

Jintao Zhang, Marco Chen, Haoxu Wang, Kai Jiang, Ion Stoica, Joseph E. Gonzalez, Jianfei Chen, Jun Zhu

CoRR, March, 2026

SpargeAttention2: Trainable Sparse Attention via Hybrid Top-k+Top-p Masking and Distillation Fine-Tuning.

Jintao Zhang, Kai Jiang, Chendong Xiang, Weiqi Feng, Yuezhou Hu, Haocheng Xi, Jianfei Chen, Jun Zhu

CoRR, February, 2026

SLA2: Sparse-Linear Attention with Learnable Routing and QAT.

Jintao Zhang, Haoxu Wang, Kai Jiang, Kaiwen Zheng, Youhe Jiang, Ion Stoica, Jianfei Chen, Jun Zhu, Joseph E. Gonzalez

CoRR, February, 2026

2025

TurboDiffusion: Accelerating Video Diffusion Models by 100-200 Times.

Jintao Zhang, Kaiwen Zheng, Kai Jiang, Haoxu Wang, Ion Stoica, Joseph E. Gonzalez, Jianfei Chen, Jun Zhu

CoRR, December, 2025

TetraJet-v2: Accurate NVFP4 Training for Large Language Models with Oscillation Suppression and Outlier Control.

Yuxiang Chen, Xiaoming Xu, Pengle Zhang, Michael Beyer, Martin Rapp, Jun Zhu, Jianfei Chen

CoRR, October, 2025

Large Scale Diffusion Distillation via Score-Regularized Continuous-Time Consistency.

Kaiwen Zheng, Yuji Wang, Qianli Ma, Huayu Chen, Jintao Zhang, Yogesh Balaji, Jianfei Chen, Ming-Yu Liu, Jun Zhu, Qinsheng Zhang

CoRR, October, 2025

CAST: Continuous and Differentiable Semi-Structured Sparsity-Aware Training for Large Language Models.

Weiyu Huang, Yuezhou Hu, Jun Zhu, Jianfei Chen

CoRR, September, 2025

Efficient Hyperparameter Tuning via Trajectory Invariance Principle.

Bingrui Li, Jiaxin Wen, Zhanpeng Zhou, Jun Zhu, Jianfei Chen

CoRR, September, 2025

SLA: Beyond Sparsity in Diffusion Transformers via Fine-Tunable Sparse-Linear Attention.

Jintao Zhang, Haoxu Wang, Kai Jiang, Shuo Yang, Kaiwen Zheng, Haocheng Xi, Ziteng Wang, Hongzhou Zhu, Min Zhao, Ion Stoica, Joseph E. Gonzalez, Jun Zhu, Jianfei Chen

CoRR, September, 2025

DPM-Solver++: Fast Solver for Guided Sampling of Diffusion Probabilistic Models.

Cheng Lu, Yuhao Zhou, Fan Bao, Jianfei Chen, Chongxuan Li, Jun Zhu

Mach. Intell. Res., August, 2025

SageAttention2++: A More Efficient Implementation of SageAttention2.

Jintao Zhang, Xiaoming Xu, Jia Wei, Haofeng Huang, Pengle Zhang, Chendong Xiang, Jun Zhu, Jianfei Chen

CoRR, May, 2025

LLaDA 1.5: Variance-Reduced Preference Optimization for Large Language Diffusion Models.

Fengqi Zhu, Rongzhen Wang, Shen Nie, Xiaolu Zhang, Chunwei Wu, Jun Hu, Jun Zhou, Jianfei Chen, Yankai Lin, Ji-Rong Wen, Chongxuan Li

CoRR, May, 2025

SageAttention3: Microscaling FP4 Attention for Inference and An Exploration of 8-Bit Training.

Jintao Zhang, Jia Wei, Pengle Zhang, Xiaoming Xu, Haofeng Huang, Haoxu Wang, Kai Jiang, Jun Zhu, Jianfei Chen

CoRR, May, 2025

Accurate INT8 Training Through Dynamic Block-Level Fallback.

Pengle Zhang, Jia Wei, Jintao Zhang, Jun Zhu, Jianfei Chen

CoRR, March, 2025

Identifying Sensitive Weights via Post-quantization Integral.

Yuezhou Hu, Weiyu Huang, Zichen Liang, Chang Chen, Jintao Zhang, Jun Zhu, Jianfei Chen

CoRR, March, 2025

SpargeAttn: Accurate Sparse Attention Accelerating Any Model Inference.

Jintao Zhang, Chendong Xiang, Haofeng Huang, Jia Wei, Haocheng Xi, Jun Zhu, Jianfei Chen

CoRR, February, 2025

Sparse VideoGen: Accelerating Video Diffusion Transformers with Spatial-Temporal Sparsity.

Haocheng Xi, Shuo Yang, Yilong Zhao, Chenfeng Xu, Muyang Li, Xiuyu Li, Yujun Lin, Han Cai, Jintao Zhang, Dacheng Li, Jianfei Chen, Ion Stoica, Kurt Keutzer, Song Han

CoRR, February, 2025

Sparse VideoGen2: Accelerate Video Generation with Sparse Attention via Semantic-Aware Permutation.

Shuo Yang, Haocheng Xi, Yilong Zhao, Muyang Li, Jintao Zhang, Han Cai, Yujun Lin, Xiuyu Li, Chenfeng Xu, Kelly Peng, Jianfei Chen, Song Han, Kurt Keutzer, Ion Stoica

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 2025

Maximum Redundancy Pruning: A Principle-Driven Layerwise Sparsity Allocation for LLMs.

Chang Gao, Kang Zhao, Runqi Wang, Jianfei Chen, Liping Jing

Proceedings of the 33rd ACM International Conference on Multimedia, 2025

SpargeAttention: Accurate and Training-free Sparse Attention Accelerating Any Model Inference.

Jintao Zhang, Chendong Xiang, Haofeng Huang, Jia Wei, Haocheng Xi, Jun Zhu, Jianfei Chen

Proceedings of the Forty-second International Conference on Machine Learning, 2025

SageAttention2: Efficient Attention with Thorough Outlier Smoothing and Per-thread INT4 Quantization.

Jintao Zhang, Haofeng Huang, Pengle Zhang, Jia Wei, Jun Zhu, Jianfei Chen

Proceedings of the Forty-second International Conference on Machine Learning, 2025

Sparse Video-Gen: Accelerating Video Diffusion Transformers with Spatial-Temporal Sparsity.

Haocheng Xi, Shuo Yang, Yilong Zhao, Chenfeng Xu, Muyang Li, Xiuyu Li, Yujun Lin, Han Cai, Jintao Zhang, Dacheng Li, Jianfei Chen, Ion Stoica, Kurt Keutzer, Song Han

Proceedings of the Forty-second International Conference on Machine Learning, 2025

FrameBridge: Improving Image-to-Video Generation with Bridge Models.

Yuji Wang, Zehua Chen, Xiaoyu Chen, Yixiang Wei, Jun Zhu, Jianfei Chen

Proceedings of the Forty-second International Conference on Machine Learning, 2025

Oscillation-Reduced MXFP4 Training for Vision Transformers.

Yuxiang Chen, Haocheng Xi, Jun Zhu, Jianfei Chen

Proceedings of the Forty-second International Conference on Machine Learning, 2025

Visual Generation Without Guidance.

Huayu Chen, Kai Jiang, Kaiwen Zheng, Jianfei Chen, Hang Su, Jun Zhu

Proceedings of the Forty-second International Conference on Machine Learning, 2025

SparseDM: Toward Sparse Efficient Diffusion Models.

Kafeng Wang, Jianfei Chen, He Li, Zhenpeng Mi, Jun Zhu

Proceedings of the IEEE International Conference on Multimedia and Expo, 2025

Diffusion Bridge Implicit Models.

Kaiwen Zheng, Guande He, Jianfei Chen, Fan Bao, Jun Zhu

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

Elucidating the Preconditioning in Consistency Distillation.

Kaiwen Zheng, Guande He, Jianfei Chen, Fan Bao, Jun Zhu

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

SageAttention: Accurate 8-Bit Attention for Plug-and-play Inference Acceleration.

Jintao Zhang, Jia Wei, Pengle Zhang, Jun Zhu, Jianfei Chen

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

COAT: Compressing Optimizer states and Activations for Memory-Efficient FP8 Training.

Haocheng Xi, Han Cai, Ligeng Zhu, Yao Lu, Kurt Keutzer, Jianfei Chen, Song Han

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

ReMoE: Fully Differentiable Mixture-of-Experts with ReLU Routing.

Ziteng Wang, Jun Zhu, Jianfei Chen

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

On the Optimization and Generalization of Two-layer Transformers with Sign Gradient Descent.

Bingrui Li, Wei Huang, Andi Han, Zhanpeng Zhou, Taiji Suzuki, Jun Zhu, Jianfei Chen

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

Pruning Large Language Models with Semi-Structural Adaptive Sparse Training.

Weiyu Huang, Yuezhou Hu, Guohao Jian, Jun Zhu, Jianfei Chen

Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025

2024

Calibrating Deep Ensemble through Functional Variational Inference.

Zhijie Deng, Feng Zhou, Jianfei Chen, Guoqiang Wu, Jun Zhu

Trans. Mach. Learn. Res., 2024

SageAttention2 Technical Report: Accurate 4 Bit Attention for Plug-and-play Inference Acceleration.

Jintao Zhang, Haofeng Huang, Pengle Zhang, Jia Wei, Jun Zhu, Jianfei Chen

CoRR, 2024

COAT: Compressing Optimizer states and Activation for Memory-Efficient FP8 Training.

Haocheng Xi, Han Cai, Ligeng Zhu, Yao Lu, Kurt Keutzer, Jianfei Chen, Song Han

CoRR, 2024

FrameBridge: Improving Image-to-Video Generation with Bridge Models.

Yuji Wang, Zehua Chen, Xiaoyu Chen, Jun Zhu, Jianfei Chen

CoRR, 2024

Jetfire: Efficient and Accurate Transformer Pretraining with INT8 Data Flow and Per-Block Quantization.

Haocheng Xi, Yuxiang Chen, Kang Zhao, Kaijun Zheng, Jianfei Chen, Jun Zhu

CoRR, 2024

C-GAIL: Stabilizing Generative Adversarial Imitation Learning with Control Theory.

Tianjiao Luo, Tim Pearce, Huayu Chen, Jianfei Chen, Jun Zhu

Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

S-STE: Continuous Pruning Function for Efficient 2: 4 Sparse Pre-training.

Yuezhou Hu, Jun Zhu, Jianfei Chen

Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

Consistency Diffusion Bridge Models.

Guande He, Kaiwen Zheng, Jianfei Chen, Fan Bao, Jun Zhu

Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

Jetfire: Efficient and Accurate Transformer Pretraining with INT8 Data Flow and Per-Block Quantization.

Haocheng Xi, Yuxiang Chen, Kang Zhao, Kai Jun Teh, Jianfei Chen, Jun Zhu

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Accelerating Transformer Pre-training with 2: 4 Sparsity.

Yuezhou Hu, Kang Zhao, Weiyu Huang, Jianfei Chen, Jun Zhu

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Efficient Backpropagation with Variance Controlled Adaptive Sampling.

Ziteng Wang, Jianfei Chen, Jun Zhu

Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023

Parameter-efficient fine-tuning of large-scale pre-trained language models.

Ning Ding, Yujia Qin, Guang Yang, Fuchao Wei, Zonghan Yang, Yusheng Su, Shengding Hu, Yulin Chen, Chi-Min Chan, Weize Chen, Jing Yi, Weilin Zhao, Xiaozhi Wang, Zhiyuan Liu, Hai-Tao Zheng, Jianfei Chen, Yang Liu, Jie Tang, Juanzi Li, Maosong Sun

Nat. Mac. Intell., March, 2023

Investigating Uncertainty Calibration of Aligned Language Models under the Multiple-Choice Setting.

Guande He, Peng Cui, Jianfei Chen, Wenbo Hu, Jun Zhu

CoRR, 2023

DPM-Solver-v3: Improved Diffusion ODE Solver with Empirical Model Statistics.

Kaiwen Zheng, Cheng Lu, Jianfei Chen, Jun Zhu

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Training Transformers with 4-bit Integers.

Haocheng Xi, Changhao Li, Jianfei Chen, Jun Zhu

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Memory Efficient Optimizers with 4-bit States.

Bingrui Li, Jianfei Chen, Jun Zhu

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Improved Techniques for Maximum Likelihood Estimation for Diffusion ODEs.

Kaiwen Zheng, Cheng Lu, Jianfei Chen, Jun Zhu

Proceedings of the International Conference on Machine Learning, 2023

Stabilizing GANs' Training with Brownian Motion Controller.

Tianjiao Luo, Ziyu Zhu, Jianfei Chen, Jun Zhu

Proceedings of the International Conference on Machine Learning, 2023

Contrastive Energy Prediction for Exact Energy-Guided Diffusion Sampling in Offline Reinforcement Learning.

Cheng Lu, Huayu Chen, Jianfei Chen, Hang Su, Chongxuan Li, Jun Zhu

Proceedings of the International Conference on Machine Learning, 2023

Preserving Pre-trained Features Helps Calibrate Fine-tuned Language Models.

Guande He, Jianfei Chen, Jun Zhu

Proceedings of the Eleventh International Conference on Learning Representations, 2023

2022

GACT: Activation Compressed Training for General Architectures.

Xiaoxuan Liu, Lianmin Zheng, Dequan Wang, Yukuo Cen, Weize Chen, Xu Han, Jianfei Chen, Zhiyuan Liu, Jie Tang, Joey Gonzalez, Michael W. Mahoney, Alvin Cheung

CoRR, 2022

Deep Ensemble as a Gaussian Process Approximate Posterior.

Zhijie Deng, Feng Zhou, Jianfei Chen, Guoqiang Wu, Jun Zhu

CoRR, 2022

Delta Tuning: A Comprehensive Study of Parameter Efficient Methods for Pre-trained Language Models.

Ning Ding, Yujia Qin, Guang Yang, Fuchao Wei, Zonghan Yang, Yusheng Su, Shengding Hu, Yulin Chen, Chi-Min Chan, Weize Chen, Jing Yi, Weilin Zhao, Xiaozhi Wang, Zhiyuan Liu, Hai-Tao Zheng, Jianfei Chen, Yang Liu, Jie Tang, Juanzi Li, Maosong Sun

CoRR, 2022

DPM-Solver: A Fast ODE Solver for Diffusion Probabilistic Model Sampling in Around 10 Steps.

Cheng Lu, Yuhao Zhou, Fan Bao, Jianfei Chen, Chongxuan Li, Jun Zhu

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Fast Lossless Neural Compression with Integer-Only Discrete Flows.

Siyu Wang, Jianfei Chen, Chongxuan Li, Jun Zhu, Bo Zhang

Proceedings of the International Conference on Machine Learning, 2022

Maximum Likelihood Training for Score-based Diffusion ODEs by High Order Denoising Score Matching.

Cheng Lu, Kaiwen Zheng, Fan Bao, Jianfei Chen, Chongxuan Li, Jun Zhu

Proceedings of the International Conference on Machine Learning, 2022

GACT: Activation Compressed Training for Generic Network Architectures.

Xiaoxuan Liu, Lianmin Zheng, Dequan Wang, Yukuo Cen, Weize Chen, Xu Han, Jianfei Chen, Zhiyuan Liu, Jie Tang, Joey Gonzalez, Michael W. Mahoney, Alvin Cheung

Proceedings of the International Conference on Machine Learning, 2022

2021

ActNN: Reducing Training Memory Footprint via 2-Bit Activation Compressed Training.

Jianfei Chen, Lianmin Zheng, Zhewei Yao, Dequan Wang, Ion Stoica, Michael W. Mahoney, Joseph Gonzalez

Proceedings of the 38th International Conference on Machine Learning, 2021

Implicit Normalizing Flows.

Cheng Lu, Jianfei Chen, Chongxuan Li, Qiuhao Wang, Jun Zhu

Proceedings of the 9th International Conference on Learning Representations, 2021

2020

BEV-Seg: Bird's Eye View Semantic Segmentation Using Geometry and Semantic Point Cloud.

Mong H. Ng, Kaahan Radia, Jianfei Chen, Dequan Wang, Ionel Gog, Joseph E. Gonzalez

CoRR, 2020

A Statistical Framework for Low-bitwidth Training of Deep Neural Networks.

Jianfei Chen, Yu Gai, Zhewei Yao, Michael W. Mahoney, Joseph E. Gonzalez

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

VFlow: More Expressive Generative Flows with Variational Data Augmentation.

Jianfei Chen, Cheng Lu, Biqi Chenli, Jun Zhu, Tian Tian

Proceedings of the 37th International Conference on Machine Learning, 2020

2018

Scalable Training of Hierarchical Topic Models.

Jianfei Chen, Jun Zhu, Jie Lu, Shixia Liu

Proc. VLDB Endow., 2018

Dropout training for SVMs with data augmentation.

Ning Chen, Jun Zhu, Jianfei Chen, Ting Chen

Frontiers Comput. Sci., 2018

Stochastic Expectation Maximization with Variance Reduction.

Jianfei Chen, Jun Zhu, Yee Whye Teh, Tong Zhang

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

Stochastic Training of Graph Convolutional Networks with Variance Reduction.

Jianfei Chen, Jun Zhu, Le Song

Proceedings of the 35th International Conference on Machine Learning, 2018

Towards Training Probabilistic Topic Models on Neuromorphic Multi-Chip Systems.

Zihao Xiao, Jianfei Chen, Jun Zhu

Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017

Stochastic Training of Graph Convolutional Networks.

Jianfei Chen, Jun Zhu

CoRR, 2017

ZhuSuan: A Library for Bayesian Deep Learning.

Jiaxin Shi, Jianfei Chen, Jun Zhu, Shengyang Sun, Yucen Luo, Yihong Gu, Yuhao Zhou

CoRR, 2017

Scalable Inference for Nested Chinese Restaurant Process Topic Models.

Jianfei Chen, Jun Zhu, Jie Lu, Shixia Liu

CoRR, 2017

Population Matching Discrepancy and Applications in Deep Learning.

Jianfei Chen, Chongxuan Li, Yizhong Ru, Jun Zhu

Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

SaberLDA: Sparsity-Aware Learning of Topic Models on GPUs.

Kaiwei Li, Jianfei Chen, Wenguang Chen, Jun Zhu

Proceedings of the Twenty-Second International Conference on Architectural Support for Programming Languages and Operating Systems, 2017

2016

TopicPanorama: A Full Picture of Relevant Topics.

Xiting Wang, Shixia Liu, Junlin Liu, Jianfei Chen, Jun Zhu, Baining Guo

IEEE Trans. Vis. Comput. Graph., 2016

WarpLDA: a Cache Efficient O(1) Algorithm for Latent Dirichlet Allocation.

Jianfei Chen, Kaiwei Li, Jun Zhu, Wenguang Chen

Proc. VLDB Endow., 2016

Streaming Gibbs Sampling for LDA Model.

Yang Gao, Jianfei Chen, Jun Zhu

CoRR, 2016

Scaling up Dynamic Topic Models.

Arnab Bhadury, Jianfei Chen, Jun Zhu, Shixia Liu

Proceedings of the 25th International Conference on World Wide Web, 2016

Distributing the Stochastic Gradient Sampler for Large-Scale LDA.

Yuan Yang, Jianfei Chen, Jun Zhu

Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2016

2015

WarpLDA: a Simple and Efficient O(1) Algorithm for Latent Dirichlet Allocation.

Jianfei Chen, Kaiwei Li, Jun Zhu, Wenguang Chen

CoRR, 2015

2014

Big Learning with Bayesian Methods.

Jun Zhu, Jianfei Chen, Wenbo Hu

CoRR, 2014

TopicPanorama: A full picture of relevant topics.

Shixia Liu, Xiting Wang, Jianfei Chen, Jim Zhu, Baining Guo

Proceedings of the 9th IEEE Conference on Visual Analytics Science and Technology, 2014

Bayesian Max-margin Multi-Task Learning with Data Augmentation.

Chengtao Li, Jun Zhu, Jianfei Chen

Proceedings of the 31th International Conference on Machine Learning, 2014

Dropout Training for Support Vector Machines.

Ning Chen, Jun Zhu, Jianfei Chen, Bo Zhang

Proceedings of the Twenty-Eighth AAAI Conference on Artificial Intelligence, 2014

2013

Scalable Inference for Logistic-Normal Topic Models.

Jianfei Chen, Jun Zhu, Zi Wang, Xun Zheng, Bo Zhang

Proceedings of the Advances in Neural Information Processing Systems 26: 27th Annual Conference on Neural Information Processing Systems 2013. Proceedings of a meeting held December 5-8, 2013