default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCIDJianfei Chen 0001
Chris Jianfei Chen – 陈键飞
Person information
- unicode name: 陈键飞
- affiliation: Tsinghua University, Beijing, China
Other persons with the same name
- Jianfei Chen — disambiguation page
- Jianfei Chen 0002 — Xi'an Jiaotong University, China
- Jianfei Chen 0003
![[0000-0003-4107-5706]](https://dblp.uni-trier.de/img/orcid-mark.12x12.png "0000-0003-4107-5706")
— Nanjing University of Posts and Telecommunications, School of Optoelectronic Engineering, China - Jianfei Chen 0004 — University of Missouri-Kansas City, Department of Computer Science Electrical Engineering, Kansas City, MO, USA
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
showing all ?? records
2020 – today
- 2025
[j8]Cheng Lu, Yuhao Zhou, Fan Bao, Jianfei Chen, Chongxuan Li, Jun Zhu:
DPM-Solver++: Fast Solver for Guided Sampling of Diffusion Probabilistic Models. Mach. Intell. Res. 22(4): 730-751 (2025)- [c47]Weiyu Huang, Yuezhou Hu, Guohao Jian, Jun Zhu, Jianfei Chen:
Pruning Large Language Models with Semi-Structural Adaptive Sparse Training. AAAI 2025: 24167-24175 - [c46]Bingrui Li, Wei Huang, Andi Han, Zhanpeng Zhou, Taiji Suzuki, Jun Zhu, Jianfei Chen:
On the Optimization and Generalization of Two-layer Transformers with Sign Gradient Descent. ICLR 2025 - [c45]Ziteng Wang, Jun Zhu, Jianfei Chen:
ReMoE: Fully Differentiable Mixture-of-Experts with ReLU Routing. ICLR 2025 - [c44]Haocheng Xi, Han Cai, Ligeng Zhu, Yao Lu, Kurt Keutzer, Jianfei Chen, Song Han:
COAT: Compressing Optimizer states and Activations for Memory-Efficient FP8 Training. ICLR 2025 - [c43]Jintao Zhang, Jia Wei, Pengle Zhang, Jun Zhu, Jianfei Chen:
SageAttention: Accurate 8-Bit Attention for Plug-and-play Inference Acceleration. ICLR 2025 - [c42]Kaiwen Zheng, Guande He, Jianfei Chen, Fan Bao, Jun Zhu:
Elucidating the Preconditioning in Consistency Distillation. ICLR 2025 - [c41]Kaiwen Zheng, Guande He, Jianfei Chen, Fan Bao, Jun Zhu:
Diffusion Bridge Implicit Models. ICLR 2025 - [c40]Kafeng Wang, Jianfei Chen, He Li, Zhenpeng Mi, Jun Zhu:
SparseDM: Toward Sparse Efficient Diffusion Models. ICME 2025: 1-7 - [c39]Huayu Chen, Kai Jiang, Kaiwen Zheng, Jianfei Chen, Hang Su, Jun Zhu:
Visual Generation Without Guidance. ICML 2025 - [c38]Yuxiang Chen, Haocheng Xi, Jun Zhu, Jianfei Chen:
Oscillation-Reduced MXFP4 Training for Vision Transformers. ICML 2025 - [c37]Yuji Wang, Zehua Chen, Xiaoyu Chen, Yixiang Wei, Jun Zhu, Jianfei Chen:
FrameBridge: Improving Image-to-Video Generation with Bridge Models. ICML 2025 - [c36]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:
Sparse Video-Gen: Accelerating Video Diffusion Transformers with Spatial-Temporal Sparsity. ICML 2025 - [c35]Jintao Zhang, Haofeng Huang, Pengle Zhang, Jia Wei, Jun Zhu, Jianfei Chen:
SageAttention2: Efficient Attention with Thorough Outlier Smoothing and Per-thread INT4 Quantization. ICML 2025 - [c34]Jintao Zhang, Chendong Xiang, Haofeng Huang, Jia Wei, Haocheng Xi, Jun Zhu, Jianfei Chen:
SpargeAttention: Accurate and Training-free Sparse Attention Accelerating Any Model Inference. ICML 2025 - [c33]Chang Gao, Kang Zhao, Runqi Wang, Jianfei Chen, Liping Jing:
Maximum Redundancy Pruning: A Principle-Driven Layerwise Sparsity Allocation for LLMs. ACM Multimedia 2025: 11062-11070 - [i61]Huayu Chen, Kai Jiang, Kaiwen Zheng, Jianfei Chen, Hang Su, Jun Zhu:
Visual Generation Without Guidance. CoRR abs/2501.15420 (2025) - [i60]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:
Sparse VideoGen: Accelerating Video Diffusion Transformers with Spatial-Temporal Sparsity. CoRR abs/2502.01776 (2025) - [i59]Kaiwen Zheng, Guande He, Jianfei Chen, Fan Bao, Jun Zhu:
Elucidating the Preconditioning in Consistency Distillation. CoRR abs/2502.02922 (2025) - [i58]Jintao Zhang, Chendong Xiang, Haofeng Huang, Jia Wei, Haocheng Xi, Jun Zhu, Jianfei Chen:
SpargeAttn: Accurate Sparse Attention Accelerating Any Model Inference. CoRR abs/2502.18137 (2025) - [i57]Yuxiang Chen, Haocheng Xi, Jun Zhu, Jianfei Chen:
Oscillation-Reduced MXFP4 Training for Vision Transformers. CoRR abs/2502.20853 (2025) - [i56]Yuezhou Hu, Weiyu Huang, Zichen Liang, Chang Chen, Jintao Zhang, Jun Zhu, Jianfei Chen:
Identifying Sensitive Weights via Post-quantization Integral. CoRR abs/2503.01901 (2025) - [i55]Pengle Zhang, Jia Wei, Jintao Zhang, Jun Zhu, Jianfei Chen:
Accurate INT8 Training Through Dynamic Block-Level Fallback. CoRR abs/2503.08040 (2025) - [i54]Jintao Zhang, Jia Wei, Pengle Zhang, Xiaoming Xu, Haofeng Huang, Haoxu Wang, Kai Jiang, Jun Zhu, Jianfei Chen:
SageAttention3: Microscaling FP4 Attention for Inference and An Exploration of 8-Bit Training. CoRR abs/2505.11594 (2025) - [i53]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:
Sparse VideoGen2: Accelerate Video Generation with Sparse Attention via Semantic-Aware Permutation. CoRR abs/2505.18875 (2025) - [i52]Jintao Zhang, Xiaoming Xu, Jia Wei, Haofeng Huang, Pengle Zhang, Chendong Xiang, Jun Zhu, Jianfei Chen:
SageAttention2++: A More Efficient Implementation of SageAttention2. CoRR abs/2505.21136 (2025) - [i51]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:
SLA: Beyond Sparsity in Diffusion Transformers via Fine-Tunable Sparse-Linear Attention. CoRR abs/2509.24006 (2025) - [i50]Bingrui Li, Jiaxin Wen, Zhanpeng Zhou, Jun Zhu, Jianfei Chen:
Efficient Hyperparameter Tuning via Trajectory Invariance Principle. CoRR abs/2509.25049 (2025) - [i49]Weiyu Huang, Yuezhou Hu, Jun Zhu, Jianfei Chen:
CAST: Continuous and Differentiable Semi-Structured Sparsity-Aware Training for Large Language Models. CoRR abs/2509.25996 (2025) - [i48]Kaiwen Zheng, Yuji Wang, Qianli Ma, Huayu Chen, Jintao Zhang, Yogesh Balaji, Jianfei Chen, Ming-Yu Liu, Jun Zhu, Qinsheng Zhang:
Large Scale Diffusion Distillation via Score-Regularized Continuous-Time Consistency. CoRR abs/2510.08431 (2025) - [i47]Yuxiang Chen, Xiaoming Xu, Pengle Zhang, Michael Beyer, Martin Rapp, Jun Zhu, Jianfei Chen:
TetraJet-v2: Accurate NVFP4 Training for Large Language Models with Oscillation Suppression and Outlier Control. CoRR abs/2510.27527 (2025) - [i46]Jintao Zhang, Kaiwen Zheng, Kai Jiang, Haoxu Wang, Ion Stoica, Joseph E. Gonzalez, Jianfei Chen, Jun Zhu:
TurboDiffusion: Accelerating Video Diffusion Models by 100-200 Times. CoRR abs/2512.16093 (2025) - 2024
- [j7]Zhijie Deng, Feng Zhou, Jianfei Chen, Guoqiang Wu, Jun Zhu:
Calibrating Deep Ensemble through Functional Variational Inference. Trans. Mach. Learn. Res. 2024 (2024) - [c32]Ziteng Wang, Jianfei Chen, Jun Zhu:
Efficient Backpropagation with Variance Controlled Adaptive Sampling. ICLR 2024 - [c31]Yuezhou Hu, Kang Zhao, Weiyu Huang, Jianfei Chen, Jun Zhu:
Accelerating Transformer Pre-training with 2: 4 Sparsity. ICML 2024: 19531-19543 - [c30]Haocheng Xi, Yuxiang Chen, Kang Zhao, Kai Jun Teh, Jianfei Chen, Jun Zhu:
Jetfire: Efficient and Accurate Transformer Pretraining with INT8 Data Flow and Per-Block Quantization. ICML 2024: 54049-54063 - [c29]Guande He, Kaiwen Zheng, Jianfei Chen, Fan Bao, Jun Zhu:
Consistency Diffusion Bridge Models. NeurIPS 2024 - [c28]Yuezhou Hu, Jun Zhu, Jianfei Chen:
S-STE: Continuous Pruning Function for Efficient 2: 4 Sparse Pre-training. NeurIPS 2024 - [c27]Tianjiao Luo, Tim Pearce, Huayu Chen, Jianfei Chen, Jun Zhu:
C-GAIL: Stabilizing Generative Adversarial Imitation Learning with Control Theory. NeurIPS 2024 - [i45]Tianjiao Luo, Tim Pearce, Huayu Chen, Jianfei Chen, Jun Zhu:
C-GAIL: Stabilizing Generative Adversarial Imitation Learning with Control Theory. CoRR abs/2402.16349 (2024) - [i44]Ziteng Wang, Jianfei Chen, Jun Zhu:
Efficient Backpropagation with Variance-Controlled Adaptive Sampling. CoRR abs/2402.17227 (2024) - [i43]Haocheng Xi, Yuxiang Chen, Kang Zhao, Kaijun Zheng, Jianfei Chen, Jun Zhu:
Jetfire: Efficient and Accurate Transformer Pretraining with INT8 Data Flow and Per-Block Quantization. CoRR abs/2403.12422 (2024) - [i42]Yuezhou Hu, Kang Zhao, Weiyu Huang, Jianfei Chen, Jun Zhu:
Accelerating Transformer Pre-Training with 2: 4 Sparsity. CoRR abs/2404.01847 (2024) - [i41]Kafeng Wang, Jianfei Chen, He Li, Zhenpeng Mi, Jun Zhu:
SparseDM: Toward Sparse Efficient Diffusion Models. CoRR abs/2404.10445 (2024) - [i40]Kaiwen Zheng, Guande He, Jianfei Chen, Fan Bao, Jun Zhu:
Diffusion Bridge Implicit Models. CoRR abs/2405.15885 (2024) - [i39]Weiyu Huang, Guohao Jian, Yuezhou Hu, Jun Zhu, Jianfei Chen:
Pruning Large Language Models with Semi-Structural Adaptive Sparse Training. CoRR abs/2407.20584 (2024) - [i38]Yuezhou Hu, Jun Zhu, Jianfei Chen:
S-STE: Continuous Pruning Function for Efficient 2:4 Sparse Pre-training. CoRR abs/2409.09099 (2024) - [i37]Jintao Zhang, Jia Wei, Pengle Zhang, Jun Zhu, Jianfei Chen:
SageAttention: Accurate 8-Bit Attention for Plug-and-play Inference Acceleration. CoRR abs/2410.02367 (2024) - [i36]Bingrui Li, Wei Huang, Andi Han, Zhanpeng Zhou, Taiji Suzuki, Jun Zhu, Jianfei Chen:
On the Optimization and Generalization of Two-layer Transformers with Sign Gradient Descent. CoRR abs/2410.04870 (2024) - [i35]Yuji Wang, Zehua Chen, Xiaoyu Chen, Jun Zhu, Jianfei Chen:
FrameBridge: Improving Image-to-Video Generation with Bridge Models. CoRR abs/2410.15371 (2024) - [i34]Haocheng Xi, Han Cai, Ligeng Zhu, Yao Lu, Kurt Keutzer, Jianfei Chen, Song Han:
COAT: Compressing Optimizer states and Activation for Memory-Efficient FP8 Training. CoRR abs/2410.19313 (2024) - [i33]Guande He, Kaiwen Zheng, Jianfei Chen, Fan Bao, Jun Zhu:
Consistency Diffusion Bridge Models. CoRR abs/2410.22637 (2024) - [i32]Jintao Zhang, Haofeng Huang, Pengle Zhang, Jia Wei, Jun Zhu, Jianfei Chen:
SageAttention2 Technical Report: Accurate 4 Bit Attention for Plug-and-play Inference Acceleration. CoRR abs/2411.10958 (2024) - [i31]Ziteng Wang, Jianfei Chen, Jun Zhu:
ReMoE: Fully Differentiable Mixture-of-Experts with ReLU Routing. CoRR abs/2412.14711 (2024) - 2023
- [j6]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:
Parameter-efficient fine-tuning of large-scale pre-trained language models. Nat. Mac. Intell. 5(3): 220-235 (2023) - [c26]Guande He, Jianfei Chen, Jun Zhu:
Preserving Pre-trained Features Helps Calibrate Fine-tuned Language Models. ICLR 2023 - [c25]Cheng Lu, Huayu Chen, Jianfei Chen, Hang Su, Chongxuan Li, Jun Zhu:
Contrastive Energy Prediction for Exact Energy-Guided Diffusion Sampling in Offline Reinforcement Learning. ICML 2023: 22825-22855 - [c24]Tianjiao Luo, Ziyu Zhu, Jianfei Chen, Jun Zhu:
Stabilizing GANs' Training with Brownian Motion Controller. ICML 2023: 23140-23156 - [c23]Kaiwen Zheng, Cheng Lu, Jianfei Chen, Jun Zhu:
Improved Techniques for Maximum Likelihood Estimation for Diffusion ODEs. ICML 2023: 42363-42389 - [c22]Bingrui Li, Jianfei Chen, Jun Zhu:
Memory Efficient Optimizers with 4-bit States. NeurIPS 2023 - [c21]Haocheng Xi, Changhao Li, Jianfei Chen, Jun Zhu:
Training Transformers with 4-bit Integers. NeurIPS 2023 - [c20]Kaiwen Zheng, Cheng Lu, Jianfei Chen, Jun Zhu:
DPM-Solver-v3: Improved Diffusion ODE Solver with Empirical Model Statistics. NeurIPS 2023 - [i30]Cheng Lu, Huayu Chen, Jianfei Chen, Hang Su, Chongxuan Li, Jun Zhu:
Contrastive Energy Prediction for Exact Energy-Guided Diffusion Sampling in Offline Reinforcement Learning. CoRR abs/2304.12824 (2023) - [i29]Kaiwen Zheng, Cheng Lu, Jianfei Chen, Jun Zhu:
Improved Techniques for Maximum Likelihood Estimation for Diffusion ODEs. CoRR abs/2305.03935 (2023) - [i28]Guande He, Jianfei Chen, Jun Zhu:
Preserving Pre-trained Features Helps Calibrate Fine-tuned Language Models. CoRR abs/2305.19249 (2023) - [i27]Tianjiao Luo, Ziyu Zhu, Jianfei Chen, Jun Zhu:
Stabilizing GANs' Training with Brownian Motion Controller. CoRR abs/2306.10468 (2023) - [i26]Haocheng Xi, Changhao Li, Jianfei Chen, Jun Zhu:
Training Transformers with 4-bit Integers. CoRR abs/2306.11987 (2023) - [i25]Bingrui Li, Jianfei Chen, Jun Zhu:
Memory Efficient Optimizers with 4-bit States. CoRR abs/2309.01507 (2023) - [i24]Guande He, Peng Cui, Jianfei Chen, Wenbo Hu, Jun Zhu:
Investigating Uncertainty Calibration of Aligned Language Models under the Multiple-Choice Setting. CoRR abs/2310.11732 (2023) - [i23]Kaiwen Zheng, Cheng Lu, Jianfei Chen, Jun Zhu:
DPM-Solver-v3: Improved Diffusion ODE Solver with Empirical Model Statistics. CoRR abs/2310.13268 (2023) - 2022
- [c19]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:
GACT: Activation Compressed Training for Generic Network Architectures. ICML 2022: 14139-14152 - [c18]Cheng Lu, Kaiwen Zheng, Fan Bao, Jianfei Chen, Chongxuan Li, Jun Zhu:
Maximum Likelihood Training for Score-based Diffusion ODEs by High Order Denoising Score Matching. ICML 2022: 14429-14460 - [c17]Siyu Wang, Jianfei Chen, Chongxuan Li, Jun Zhu, Bo Zhang:
Fast Lossless Neural Compression with Integer-Only Discrete Flows. ICML 2022: 22562-22575 - [c16]Cheng Lu, Yuhao Zhou, Fan Bao, Jianfei Chen, Chongxuan Li, Jun Zhu:
DPM-Solver: A Fast ODE Solver for Diffusion Probabilistic Model Sampling in Around 10 Steps. NeurIPS 2022 - [i22]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:
Delta Tuning: A Comprehensive Study of Parameter Efficient Methods for Pre-trained Language Models. CoRR abs/2203.06904 (2022) - [i21]Zhijie Deng, Feng Zhou, Jianfei Chen, Guoqiang Wu, Jun Zhu:
Deep Ensemble as a Gaussian Process Approximate Posterior. CoRR abs/2205.00163 (2022) - [i20]Cheng Lu, Yuhao Zhou, Fan Bao, Jianfei Chen, Chongxuan Li, Jun Zhu:
DPM-Solver: A Fast ODE Solver for Diffusion Probabilistic Model Sampling in Around 10 Steps. CoRR abs/2206.00927 (2022) - [i19]Cheng Lu, Kaiwen Zheng, Fan Bao, Jianfei Chen, Chongxuan Li, Jun Zhu:
Maximum Likelihood Training for Score-Based Diffusion ODEs by High-Order Denoising Score Matching. CoRR abs/2206.08265 (2022) - [i18]Siyu Wang, Jianfei Chen, Chongxuan Li, Jun Zhu, Bo Zhang:
Fast Lossless Neural Compression with Integer-Only Discrete Flows. CoRR abs/2206.08869 (2022) - [i17]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:
GACT: Activation Compressed Training for General Architectures. CoRR abs/2206.11357 (2022) - [i16]Cheng Lu, Yuhao Zhou, Fan Bao, Jianfei Chen, Chongxuan Li, Jun Zhu:
DPM-Solver++: Fast Solver for Guided Sampling of Diffusion Probabilistic Models. CoRR abs/2211.01095 (2022) - 2021
- [c15]Cheng Lu, Jianfei Chen, Chongxuan Li, Qiuhao Wang, Jun Zhu:
Implicit Normalizing Flows. ICLR 2021 - [c14]Jianfei Chen, Lianmin Zheng, Zhewei Yao, Dequan Wang, Ion Stoica, Michael W. Mahoney, Joseph Gonzalez:
ActNN: Reducing Training Memory Footprint via 2-Bit Activation Compressed Training. ICML 2021: 1803-1813 - [i15]Cheng Lu, Jianfei Chen, Chongxuan Li, Qiuhao Wang, Jun Zhu:
Implicit Normalizing Flows. CoRR abs/2103.09527 (2021) - [i14]Jianfei Chen, Lianmin Zheng, Zhewei Yao, Dequan Wang, Ion Stoica, Michael W. Mahoney, Joseph E. Gonzalez:
ActNN: Reducing Training Memory Footprint via 2-Bit Activation Compressed Training. CoRR abs/2104.14129 (2021) - 2020
- [j5]Kaiwei Li, Jianfei Chen, Wenguang Chen, Jun Zhu:
SaberLDA: Sparsity-Aware Learning of Topic Models on GPUs. IEEE Trans. Parallel Distributed Syst. 31(9): 2112-2124 (2020) - [c13]Jianfei Chen, Cheng Lu, Biqi Chenli, Jun Zhu, Tian Tian:
VFlow: More Expressive Generative Flows with Variational Data Augmentation. ICML 2020: 1660-1669 - [c12]Jianfei Chen, Yu Gai, Zhewei Yao, Michael W. Mahoney, Joseph E. Gonzalez:
A Statistical Framework for Low-bitwidth Training of Deep Neural Networks. NeurIPS 2020 - [i13]Jianfei Chen, Cheng Lu, Biqi Chenli, Jun Zhu, Tian Tian:
VFlow: More Expressive Generative Flows with Variational Data Augmentation. CoRR abs/2002.09741 (2020) - [i12]Mong H. Ng, Kaahan Radia, Jianfei Chen, Dequan Wang, Ionel Gog, Joseph E. Gonzalez:
BEV-Seg: Bird's Eye View Semantic Segmentation Using Geometry and Semantic Point Cloud. CoRR abs/2006.11436 (2020) - [i11]Jianfei Chen, Yu Gai, Zhewei Yao, Michael W. Mahoney, Joseph E. Gonzalez:
A Statistical Framework for Low-bitwidth Training of Deep Neural Networks. CoRR abs/2010.14298 (2020)
2010 – 2019
- 2018
- [j4]Ning Chen, Jun Zhu, Jianfei Chen, Ting Chen:
Dropout training for SVMs with data augmentation. Frontiers Comput. Sci. 12(4): 694-713 (2018) - [j3]Jianfei Chen, Jun Zhu, Jie Lu, Shixia Liu:
Scalable Training of Hierarchical Topic Models. Proc. VLDB Endow. 11(7): 826-839 (2018) - [c11]Zihao Xiao, Jianfei Chen, Jun Zhu:
Towards Training Probabilistic Topic Models on Neuromorphic Multi-Chip Systems. AAAI 2018: 6459-6467 - [c10]Jianfei Chen, Jun Zhu, Le Song:
Stochastic Training of Graph Convolutional Networks with Variance Reduction. ICML 2018: 941-949 - [c9]Jianfei Chen, Jun Zhu, Yee Whye Teh, Tong Zhang:
Stochastic Expectation Maximization with Variance Reduction. NeurIPS 2018: 7978-7988 - [i10]Zihao Xiao, Jianfei Chen, Jun Zhu:
Towards Training Probabilistic Topic Models on Neuromorphic Multi-chip Systems. CoRR abs/1804.03578 (2018) - 2017
- [c8]Kaiwei Li, Jianfei Chen, Wenguang Chen, Jun Zhu:
SaberLDA: Sparsity-Aware Learning of Topic Models on GPUs. ASPLOS 2017: 497-509 - [c7]Jianfei Chen, Chongxuan Li, Yizhong Ru, Jun Zhu:
Population Matching Discrepancy and Applications in Deep Learning. NIPS 2017: 6262-6272 - [i9]Jianfei Chen, Jun Zhu, Jie Lu, Shixia Liu:
Scalable Inference for Nested Chinese Restaurant Process Topic Models. CoRR abs/1702.07083 (2017) - [i8]Jiaxin Shi, Jianfei Chen, Jun Zhu, Shengyang Sun, Yucen Luo, Yihong Gu, Yuhao Zhou:
ZhuSuan: A Library for Bayesian Deep Learning. CoRR abs/1709.05870 (2017) - [i7]Jianfei Chen, Jun Zhu:
Stochastic Training of Graph Convolutional Networks. CoRR abs/1710.10568 (2017) - 2016
- [j2]Jianfei Chen, Kaiwei Li, Jun Zhu, Wenguang Chen:
WarpLDA: a Cache Efficient O(1) Algorithm for Latent Dirichlet Allocation. Proc. VLDB Endow. 9(10): 744-755 (2016) - [j1]Xiting Wang, Shixia Liu, Junlin Liu, Jianfei Chen, Jun Zhu, Baining Guo:
TopicPanorama: A Full Picture of Relevant Topics. IEEE Trans. Vis. Comput. Graph. 22(12): 2508-2521 (2016) - [c6]Yuan Yang, Jianfei Chen, Jun Zhu:
Distributing the Stochastic Gradient Sampler for Large-Scale LDA. KDD 2016: 1975-1984 - [c5]Arnab Bhadury, Jianfei Chen, Jun Zhu, Shixia Liu:
Scaling up Dynamic Topic Models. WWW 2016: 381-390 - [i6]Yang Gao, Jianfei Chen, Jun Zhu:
Streaming Gibbs Sampling for LDA Model. CoRR abs/1601.01142 (2016) - [i5]Kaiwei Li, Jianfei Chen, Wenguang Chen, Jun Zhu:
SaberLDA: Sparsity-Aware Learning of Topic Models on GPUs. CoRR abs/1610.02496 (2016) - 2015
- [i4]Ning Chen, Jun Zhu, Jianfei Chen, Ting Chen:
Dropout Training for SVMs with Data Augmentation. CoRR abs/1508.02268 (2015) - [i3]Jianfei Chen, Kaiwei Li, Jun Zhu, Wenguang Chen:
WarpLDA: a Simple and Efficient O(1) Algorithm for Latent Dirichlet Allocation. CoRR abs/1510.08628 (2015) - 2014
- [c4]Ning Chen, Jun Zhu, Jianfei Chen, Bo Zhang:
Dropout Training for Support Vector Machines. AAAI 2014: 1752-1759 - [c3]Chengtao Li, Jun Zhu, Jianfei Chen:
Bayesian Max-margin Multi-Task Learning with Data Augmentation. ICML 2014: 415-423 - [c2]Shixia Liu, Xiting Wang, Jianfei Chen, Jim Zhu, Baining Guo:
TopicPanorama: A full picture of relevant topics. IEEE VAST 2014: 183-192 - [i2]Ning Chen, Jun Zhu, Jianfei Chen, Bo Zhang:
Dropout Training for Support Vector Machines. CoRR abs/1404.4171 (2014) - [i1]Jun Zhu, Jianfei Chen, Wenbo Hu:
Big Learning with Bayesian Methods. CoRR abs/1411.6370 (2014) - 2013
- [c1]Jianfei Chen, Jun Zhu, Zi Wang, Xun Zheng, Bo Zhang:
Scalable Inference for Logistic-Normal Topic Models. NIPS 2013: 2445-2453
Coauthor Index
[j8] [c47] [c46] [c45] [c43] [c42] [c41] [c40] [c39] [c38] [c37] [c35] [c34] [i61] [i59] [i58] [i57] [i56] [i55] [i54] [i52] [i51] [i50] [i49] [i48] [i47] [i46] [j7] [c32] [c31] [c30] [c29] [c28] [c27] [i45] [i44] [i43] [i42] [i41] [i40] [i39] [i38] [i37] [i36] [i35] [i33] [i32] [i31] [c26] [c25] [c24] [c23] [c22] [c21] [c20] [i30] [i29] [i28] [i27] [i26] [i25] [i24] [i23] [c18] [c17] [c16] [i21] [i20] [i19] [i18] [i16] [c15] [i15] [j5] [c13] [i13] [j4] [j3] [c11] [c10] [c9] [i10] [c8] [c7] [i9] [i8] [i7] [j2] [j1] [c6] [c5] [i6] [i5] [i4] [i3] [c4] [c3] [i2] [i1] [c1]
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from 
to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the 
of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from 
, 
, and 
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from 
.
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2026-03-15 23:10 CET by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by:
