Jianfei Chen - RankMe

121 papers A* 43A 1Journal 74Unranked 3

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Deterministic Differentiable Structured Pruning for Large Language Models. CoRR Weiyu Huang, Pengle Zhang, Xiaolu Zhang, Jun Zhou, Jun Zhu, Jianfei Chen
2026	J	`jnl`	SLA2: Sparse-Linear Attention with Learnable Routing and QAT. CoRR Jintao Zhang, Haoxu Wang, Kai Jiang, Kaiwen Zheng, Youhe Jiang, Ion Stoica, Jianfei Chen, Jun Zhu, Joseph E. Gonzalez
2026	J	`jnl`	SageBwd: A Trainable Low-bit Attention. CoRR Jintao Zhang, Marco Chen, Haoxu Wang, Kai Jiang, Ion Stoica, Joseph E. Gonzalez, Jianfei Chen, Jun Zhu
2026	J	`jnl`	SpargeAttention2: Trainable Sparse Attention via Hybrid Top-k+Top-p Masking and Distillation Fine-Tuning. CoRR Jintao Zhang, Kai Jiang, Chendong Xiang, Weiqi Feng, Yuezhou Hu, Haocheng Xi, Jianfei Chen, Jun Zhu
2025	J	`jnl`	Accurate INT8 Training Through Dynamic Block-Level Fallback. CoRR Pengle Zhang, Jia Wei, Jintao Zhang, Jun Zhu, Jianfei Chen
2025	J	`jnl`	CAST: Continuous and Differentiable Semi-Structured Sparsity-Aware Training for Large Language Models. CoRR Weiyu Huang, Yuezhou Hu, Jun Zhu, Jianfei Chen
2025	A*	`conf`	COAT: Compressing Optimizer states and Activations for Memory-Efficient FP8 Training. ICLR Haocheng Xi, Han Cai, Ligeng Zhu, Yao Lu, Kurt Keutzer, Jianfei Chen, Song Han
2025	J	`jnl`	DPM-Solver++: Fast Solver for Guided Sampling of Diffusion Probabilistic Models. Mach. Intell. Res. Cheng Lu, Yuhao Zhou, Fan Bao, Jianfei Chen, Chongxuan Li, Jun Zhu
2025	A*	`conf`	Diffusion Bridge Implicit Models. ICLR Kaiwen Zheng, Guande He, Jianfei Chen, Fan Bao, Jun Zhu
2025	J	`jnl`	Efficient Hyperparameter Tuning via Trajectory Invariance Principle. CoRR Bingrui Li, Jiaxin Wen, Zhanpeng Zhou, Jun Zhu, Jianfei Chen
2025	A*	`conf`	Elucidating the Preconditioning in Consistency Distillation. ICLR Kaiwen Zheng, Guande He, Jianfei Chen, Fan Bao, Jun Zhu
2025	J	`jnl`	Elucidating the Preconditioning in Consistency Distillation. CoRR Kaiwen Zheng, Guande He, Jianfei Chen, Fan Bao, Jun Zhu
2025	A*	`conf`	FrameBridge: Improving Image-to-Video Generation with Bridge Models. ICML Yuji Wang, Zehua Chen, Xiaoyu Chen, Yixiang Wei, Jun Zhu, Jianfei Chen
2025	J	`jnl`	Identifying Sensitive Weights via Post-quantization Integral. CoRR Yuezhou Hu, Weiyu Huang, Zichen Liang, Chang Chen, Jintao Zhang, Jun Zhu, Jianfei Chen
2025	J	`jnl`	LLaDA 1.5: Variance-Reduced Preference Optimization for Large Language Diffusion Models. CoRR Fengqi Zhu, Rongzhen Wang, Shen Nie, Xiaolu Zhang, Chunwei Wu, Jun Hu, Jun Zhou, Jianfei Chen, Yankai Lin, Ji-Rong Wen, Chongxuan Li
2025	J	`jnl`	Large Scale Diffusion Distillation via Score-Regularized Continuous-Time Consistency. CoRR Kaiwen Zheng, Yuji Wang, Qianli Ma, Huayu Chen, Jintao Zhang, Yogesh Balaji, Jianfei Chen, Ming-Yu Liu, Jun Zhu, Qinsheng Zhang
2025	A*	`conf`	Maximum Redundancy Pruning: A Principle-Driven Layerwise Sparsity Allocation for LLMs. ACM Multimedia Chang Gao, Kang Zhao, Runqi Wang, Jianfei Chen, Liping Jing
2025	A*	`conf`	On the Optimization and Generalization of Two-layer Transformers with Sign Gradient Descent. ICLR Bingrui Li, Wei Huang, Andi Han, Zhanpeng Zhou, Taiji Suzuki, Jun Zhu, Jianfei Chen
2025	A*	`conf`	Oscillation-Reduced MXFP4 Training for Vision Transformers. ICML Yuxiang Chen, Haocheng Xi, Jun Zhu, Jianfei Chen
2025	J	`jnl`	Oscillation-Reduced MXFP4 Training for Vision Transformers. CoRR Yuxiang Chen, Haocheng Xi, Jun Zhu, Jianfei Chen
2025	A*	`conf`	Pruning Large Language Models with Semi-Structural Adaptive Sparse Training. AAAI Weiyu Huang, Yuezhou Hu, Guohao Jian, Jun Zhu, Jianfei Chen
2025	A*	`conf`	ReMoE: Fully Differentiable Mixture-of-Experts with ReLU Routing. ICLR Ziteng Wang, Jun Zhu, Jianfei Chen
2025	J	`jnl`	SLA: Beyond Sparsity in Diffusion Transformers via Fine-Tunable Sparse-Linear Attention. CoRR 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
2025	J	`jnl`	SageAttention2++: A More Efficient Implementation of SageAttention2. CoRR Jintao Zhang, Xiaoming Xu, Jia Wei, Haofeng Huang, Pengle Zhang, Chendong Xiang, Jun Zhu, Jianfei Chen
2025	A*	`conf`	SageAttention2: Efficient Attention with Thorough Outlier Smoothing and Per-thread INT4 Quantization. ICML Jintao Zhang, Haofeng Huang, Pengle Zhang, Jia Wei, Jun Zhu, Jianfei Chen
2025	J	`jnl`	SageAttention3: Microscaling FP4 Attention for Inference and An Exploration of 8-Bit Training. CoRR Jintao Zhang, Jia Wei, Pengle Zhang, Xiaoming Xu, Haofeng Huang, Haoxu Wang, Kai Jiang, Jun Zhu, Jianfei Chen
2025	A*	`conf`	SageAttention: Accurate 8-Bit Attention for Plug-and-play Inference Acceleration. ICLR Jintao Zhang, Jia Wei, Pengle Zhang, Jun Zhu, Jianfei Chen
2025	A*	`conf`	SpargeAttention: Accurate and Training-free Sparse Attention Accelerating Any Model Inference. ICML Jintao Zhang, Chendong Xiang, Haofeng Huang, Jia Wei, Haocheng Xi, Jun Zhu, Jianfei Chen
2025	J	`jnl`	SpargeAttn: Accurate Sparse Attention Accelerating Any Model Inference. CoRR Jintao Zhang, Chendong Xiang, Haofeng Huang, Jia Wei, Haocheng Xi, Jun Zhu, Jianfei Chen
2025	A*	`conf`	Sparse Video-Gen: Accelerating Video Diffusion Transformers with Spatial-Temporal Sparsity. ICML 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
2025	J	`jnl`	Sparse VideoGen2: Accelerate Video Generation with Sparse Attention via Semantic-Aware Permutation. CoRR 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
2025	J	`jnl`	Sparse VideoGen: Accelerating Video Diffusion Transformers with Spatial-Temporal Sparsity. CoRR 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
2025	A	`conf`	SparseDM: Toward Sparse Efficient Diffusion Models. ICME Kafeng Wang, Jianfei Chen, He Li, Zhenpeng Mi, Jun Zhu
2025	J	`jnl`	TetraJet-v2: Accurate NVFP4 Training for Large Language Models with Oscillation Suppression and Outlier Control. CoRR Yuxiang Chen, Xiaoming Xu, Pengle Zhang, Michael Beyer, Martin Rapp, Jun Zhu, Jianfei Chen
2025	J	`jnl`	TurboDiffusion: Accelerating Video Diffusion Models by 100-200 Times. CoRR Jintao Zhang, Kaiwen Zheng, Kai Jiang, Haoxu Wang, Ion Stoica, Joseph E. Gonzalez, Jianfei Chen, Jun Zhu
2025	A*	`conf`	Visual Generation Without Guidance. ICML Huayu Chen, Kai Jiang, Kaiwen Zheng, Jianfei Chen, Hang Su, Jun Zhu
2025	J	`jnl`	Visual Generation Without Guidance. CoRR Huayu Chen, Kai Jiang, Kaiwen Zheng, Jianfei Chen, Hang Su, Jun Zhu
2024	J	`jnl`	Accelerating Transformer Pre-Training with 2: 4 Sparsity. CoRR Yuezhou Hu, Kang Zhao, Weiyu Huang, Jianfei Chen, Jun Zhu
2024	A*	`conf`	Accelerating Transformer Pre-training with 2: 4 Sparsity. ICML Yuezhou Hu, Kang Zhao, Weiyu Huang, Jianfei Chen, Jun Zhu
2024	A*	`conf`	C-GAIL: Stabilizing Generative Adversarial Imitation Learning with Control Theory. NeurIPS Tianjiao Luo, Tim Pearce, Huayu Chen, Jianfei Chen, Jun Zhu
2024	J	`jnl`	C-GAIL: Stabilizing Generative Adversarial Imitation Learning with Control Theory. CoRR Tianjiao Luo, Tim Pearce, Huayu Chen, Jianfei Chen, Jun Zhu
2024	J	`jnl`	COAT: Compressing Optimizer states and Activation for Memory-Efficient FP8 Training. CoRR Haocheng Xi, Han Cai, Ligeng Zhu, Yao Lu, Kurt Keutzer, Jianfei Chen, Song Han
2024	J	`jnl`	Calibrating Deep Ensemble through Functional Variational Inference. Trans. Mach. Learn. Res. Zhijie Deng, Feng Zhou, Jianfei Chen, Guoqiang Wu, Jun Zhu
2024	A*	`conf`	Consistency Diffusion Bridge Models. NeurIPS Guande He, Kaiwen Zheng, Jianfei Chen, Fan Bao, Jun Zhu
2024	J	`jnl`	Consistency Diffusion Bridge Models. CoRR Guande He, Kaiwen Zheng, Jianfei Chen, Fan Bao, Jun Zhu
2024	J	`jnl`	Diffusion Bridge Implicit Models. CoRR Kaiwen Zheng, Guande He, Jianfei Chen, Fan Bao, Jun Zhu
2024	A*	`conf`	Efficient Backpropagation with Variance Controlled Adaptive Sampling. ICLR Ziteng Wang, Jianfei Chen, Jun Zhu
2024	J	`jnl`	Efficient Backpropagation with Variance-Controlled Adaptive Sampling. CoRR Ziteng Wang, Jianfei Chen, Jun Zhu
2024	J	`jnl`	FrameBridge: Improving Image-to-Video Generation with Bridge Models. CoRR Yuji Wang, Zehua Chen, Xiaoyu Chen, Jun Zhu, Jianfei Chen
2024	A*	`conf`	Jetfire: Efficient and Accurate Transformer Pretraining with INT8 Data Flow and Per-Block Quantization. ICML Haocheng Xi, Yuxiang Chen, Kang Zhao, Kai Jun Teh, Jianfei Chen, Jun Zhu
2024	J	`jnl`	Jetfire: Efficient and Accurate Transformer Pretraining with INT8 Data Flow and Per-Block Quantization. CoRR Haocheng Xi, Yuxiang Chen, Kang Zhao, Kaijun Zheng, Jianfei Chen, Jun Zhu
2024	J	`jnl`	On the Optimization and Generalization of Two-layer Transformers with Sign Gradient Descent. CoRR Bingrui Li, Wei Huang, Andi Han, Zhanpeng Zhou, Taiji Suzuki, Jun Zhu, Jianfei Chen
2024	J	`jnl`	Pruning Large Language Models with Semi-Structural Adaptive Sparse Training. CoRR Weiyu Huang, Guohao Jian, Yuezhou Hu, Jun Zhu, Jianfei Chen
2024	J	`jnl`	ReMoE: Fully Differentiable Mixture-of-Experts with ReLU Routing. CoRR Ziteng Wang, Jianfei Chen, Jun Zhu
2024	A*	`conf`	S-STE: Continuous Pruning Function for Efficient 2: 4 Sparse Pre-training. NeurIPS Yuezhou Hu, Jun Zhu, Jianfei Chen
2024	J	`jnl`	S-STE: Continuous Pruning Function for Efficient 2:4 Sparse Pre-training. CoRR Yuezhou Hu, Jun Zhu, Jianfei Chen
2024	J	`jnl`	SageAttention2 Technical Report: Accurate 4 Bit Attention for Plug-and-play Inference Acceleration. CoRR Jintao Zhang, Haofeng Huang, Pengle Zhang, Jia Wei, Jun Zhu, Jianfei Chen
2024	J	`jnl`	SageAttention: Accurate 8-Bit Attention for Plug-and-play Inference Acceleration. CoRR Jintao Zhang, Jia Wei, Pengle Zhang, Jun Zhu, Jianfei Chen
2024	J	`jnl`	SparseDM: Toward Sparse Efficient Diffusion Models. CoRR Kafeng Wang, Jianfei Chen, He Li, Zhenpeng Mi, Jun Zhu
2023	A*	`conf`	Contrastive Energy Prediction for Exact Energy-Guided Diffusion Sampling in Offline Reinforcement Learning. ICML Cheng Lu, Huayu Chen, Jianfei Chen, Hang Su, Chongxuan Li, Jun Zhu
2023	J	`jnl`	Contrastive Energy Prediction for Exact Energy-Guided Diffusion Sampling in Offline Reinforcement Learning. CoRR Cheng Lu, Huayu Chen, Jianfei Chen, Hang Su, Chongxuan Li, Jun Zhu
2023	A*	`conf`	DPM-Solver-v3: Improved Diffusion ODE Solver with Empirical Model Statistics. NeurIPS Kaiwen Zheng, Cheng Lu, Jianfei Chen, Jun Zhu
2023	J	`jnl`	DPM-Solver-v3: Improved Diffusion ODE Solver with Empirical Model Statistics. CoRR Kaiwen Zheng, Cheng Lu, Jianfei Chen, Jun Zhu
2023	A*	`conf`	Improved Techniques for Maximum Likelihood Estimation for Diffusion ODEs. ICML Kaiwen Zheng, Cheng Lu, Jianfei Chen, Jun Zhu
2023	J	`jnl`	Improved Techniques for Maximum Likelihood Estimation for Diffusion ODEs. CoRR Kaiwen Zheng, Cheng Lu, Jianfei Chen, Jun Zhu
2023	J	`jnl`	Investigating Uncertainty Calibration of Aligned Language Models under the Multiple-Choice Setting. CoRR Guande He, Peng Cui, Jianfei Chen, Wenbo Hu, Jun Zhu
2023	A*	`conf`	Memory Efficient Optimizers with 4-bit States. NeurIPS Bingrui Li, Jianfei Chen, Jun Zhu
2023	J	`jnl`	Memory Efficient Optimizers with 4-bit States. CoRR Bingrui Li, Jianfei Chen, Jun Zhu
2023	J	`jnl`	Parameter-efficient fine-tuning of large-scale pre-trained language models. Nat. Mac. Intell. 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
2023	A*	`conf`	Preserving Pre-trained Features Helps Calibrate Fine-tuned Language Models. ICLR Guande He, Jianfei Chen, Jun Zhu
2023	J	`jnl`	Preserving Pre-trained Features Helps Calibrate Fine-tuned Language Models. CoRR Guande He, Jianfei Chen, Jun Zhu
2023	A*	`conf`	Stabilizing GANs' Training with Brownian Motion Controller. ICML Tianjiao Luo, Ziyu Zhu, Jianfei Chen, Jun Zhu
2023	J	`jnl`	Stabilizing GANs' Training with Brownian Motion Controller. CoRR Tianjiao Luo, Ziyu Zhu, Jianfei Chen, Jun Zhu
2023	A*	`conf`	Training Transformers with 4-bit Integers. NeurIPS Haocheng Xi, Changhao Li, Jianfei Chen, Jun Zhu
2023	J	`jnl`	Training Transformers with 4-bit Integers. CoRR Haocheng Xi, Changhao Li, Jianfei Chen, Jun Zhu
2022	J	`jnl`	DPM-Solver++: Fast Solver for Guided Sampling of Diffusion Probabilistic Models. CoRR Cheng Lu, Yuhao Zhou, Fan Bao, Jianfei Chen, Chongxuan Li, Jun Zhu
2022	A*	`conf`	DPM-Solver: A Fast ODE Solver for Diffusion Probabilistic Model Sampling in Around 10 Steps. NeurIPS Cheng Lu, Yuhao Zhou, Fan Bao, Jianfei Chen, Chongxuan Li, Jun Zhu
2022	J	`jnl`	DPM-Solver: A Fast ODE Solver for Diffusion Probabilistic Model Sampling in Around 10 Steps. CoRR Cheng Lu, Yuhao Zhou, Fan Bao, Jianfei Chen, Chongxuan Li, Jun Zhu
2022	J	`jnl`	Deep Ensemble as a Gaussian Process Approximate Posterior. CoRR Zhijie Deng, Feng Zhou, Jianfei Chen, Guoqiang Wu, Jun Zhu
2022	J	`jnl`	Delta Tuning: A Comprehensive Study of Parameter Efficient Methods for Pre-trained Language Models. CoRR 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
2022	A*	`conf`	Fast Lossless Neural Compression with Integer-Only Discrete Flows. ICML Siyu Wang, Jianfei Chen, Chongxuan Li, Jun Zhu, Bo Zhang
2022	J	`jnl`	Fast Lossless Neural Compression with Integer-Only Discrete Flows. CoRR Siyu Wang, Jianfei Chen, Chongxuan Li, Jun Zhu, Bo Zhang
2022	J	`jnl`	GACT: Activation Compressed Training for General Architectures. CoRR 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
2022	A*	`conf`	GACT: Activation Compressed Training for Generic Network Architectures. ICML 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
2022	J	`jnl`	Maximum Likelihood Training for Score-Based Diffusion ODEs by High-Order Denoising Score Matching. CoRR Cheng Lu, Kaiwen Zheng, Fan Bao, Jianfei Chen, Chongxuan Li, Jun Zhu
2022	A*	`conf`	Maximum Likelihood Training for Score-based Diffusion ODEs by High Order Denoising Score Matching. ICML Cheng Lu, Kaiwen Zheng, Fan Bao, Jianfei Chen, Chongxuan Li, Jun Zhu
2021	A*	`conf`	ActNN: Reducing Training Memory Footprint via 2-Bit Activation Compressed Training. ICML Jianfei Chen, Lianmin Zheng, Zhewei Yao, Dequan Wang, Ion Stoica, Michael W. Mahoney, Joseph Gonzalez
2021	J	`jnl`	ActNN: Reducing Training Memory Footprint via 2-Bit Activation Compressed Training. CoRR Jianfei Chen, Lianmin Zheng, Zhewei Yao, Dequan Wang, Ion Stoica, Michael W. Mahoney, Joseph E. Gonzalez
2021	A*	`conf`	Implicit Normalizing Flows. ICLR Cheng Lu, Jianfei Chen, Chongxuan Li, Qiuhao Wang, Jun Zhu
2021	J	`jnl`	Implicit Normalizing Flows. CoRR Cheng Lu, Jianfei Chen, Chongxuan Li, Qiuhao Wang, Jun Zhu
2020	A*	`conf`	A Statistical Framework for Low-bitwidth Training of Deep Neural Networks. NeurIPS Jianfei Chen, Yu Gai, Zhewei Yao, Michael W. Mahoney, Joseph E. Gonzalez
2020	J	`jnl`	A Statistical Framework for Low-bitwidth Training of Deep Neural Networks. CoRR Jianfei Chen, Yu Gai, Zhewei Yao, Michael W. Mahoney, Joseph E. Gonzalez
2020	J	`jnl`	BEV-Seg: Bird's Eye View Semantic Segmentation Using Geometry and Semantic Point Cloud. CoRR Mong H. Ng, Kaahan Radia, Jianfei Chen, Dequan Wang, Ionel Gog, Joseph E. Gonzalez
2020	J	`jnl`	SaberLDA: Sparsity-Aware Learning of Topic Models on GPUs. IEEE Trans. Parallel Distributed Syst. Kaiwei Li, Jianfei Chen, Wenguang Chen, Jun Zhu
2020	A*	`conf`	VFlow: More Expressive Generative Flows with Variational Data Augmentation. ICML Jianfei Chen, Cheng Lu, Biqi Chenli, Jun Zhu, Tian Tian
2020	J	`jnl`	VFlow: More Expressive Generative Flows with Variational Data Augmentation. CoRR Jianfei Chen, Cheng Lu, Biqi Chenli, Jun Zhu, Tian Tian
2018	J	`jnl`	Dropout training for SVMs with data augmentation. Frontiers Comput. Sci. Ning Chen, Jun Zhu, Jianfei Chen, Ting Chen
2018	J	`jnl`	Scalable Training of Hierarchical Topic Models. Proc. VLDB Endow. Jianfei Chen, Jun Zhu, Jie Lu, Shixia Liu
2018	A*	`conf`	Stochastic Expectation Maximization with Variance Reduction. NeurIPS Jianfei Chen, Jun Zhu, Yee Whye Teh, Tong Zhang
2018	A*	`conf`	Stochastic Training of Graph Convolutional Networks with Variance Reduction. ICML Jianfei Chen, Jun Zhu, Le Song
2018	A*	`conf`	Towards Training Probabilistic Topic Models on Neuromorphic Multi-Chip Systems. AAAI Zihao Xiao, Jianfei Chen, Jun Zhu
2018	J	`jnl`	Towards Training Probabilistic Topic Models on Neuromorphic Multi-chip Systems. CoRR Zihao Xiao, Jianfei Chen, Jun Zhu
2017	—	`conf`	Population Matching Discrepancy and Applications in Deep Learning. NIPS Jianfei Chen, Chongxuan Li, Yizhong Ru, Jun Zhu
2017	A*	`conf`	SaberLDA: Sparsity-Aware Learning of Topic Models on GPUs. ASPLOS Kaiwei Li, Jianfei Chen, Wenguang Chen, Jun Zhu
2017	J	`jnl`	Scalable Inference for Nested Chinese Restaurant Process Topic Models. CoRR Jianfei Chen, Jun Zhu, Jie Lu, Shixia Liu
2017	J	`jnl`	Stochastic Training of Graph Convolutional Networks. CoRR Jianfei Chen, Jun Zhu
2017	J	`jnl`	ZhuSuan: A Library for Bayesian Deep Learning. CoRR Jiaxin Shi, Jianfei Chen, Jun Zhu, Shengyang Sun, Yucen Luo, Yihong Gu, Yuhao Zhou
2016	A*	`conf`	Distributing the Stochastic Gradient Sampler for Large-Scale LDA. KDD Yuan Yang, Jianfei Chen, Jun Zhu
2016	J	`jnl`	SaberLDA: Sparsity-Aware Learning of Topic Models on GPUs. CoRR Kaiwei Li, Jianfei Chen, Wenguang Chen, Jun Zhu
2016	A*	`conf`	Scaling up Dynamic Topic Models. WWW Arnab Bhadury, Jianfei Chen, Jun Zhu, Shixia Liu
2016	J	`jnl`	Streaming Gibbs Sampling for LDA Model. CoRR Yang Gao, Jianfei Chen, Jun Zhu
2016	J	`jnl`	TopicPanorama: A Full Picture of Relevant Topics. IEEE Trans. Vis. Comput. Graph. Xiting Wang, Shixia Liu, Junlin Liu, Jianfei Chen, Jun Zhu, Baining Guo
2016	J	`jnl`	WarpLDA: a Cache Efficient O(1) Algorithm for Latent Dirichlet Allocation. Proc. VLDB Endow. Jianfei Chen, Kaiwei Li, Jun Zhu, Wenguang Chen
2015	J	`jnl`	Dropout Training for SVMs with Data Augmentation. CoRR Ning Chen, Jun Zhu, Jianfei Chen, Ting Chen
2015	J	`jnl`	WarpLDA: a Simple and Efficient O(1) Algorithm for Latent Dirichlet Allocation. CoRR Jianfei Chen, Kaiwei Li, Jun Zhu, Wenguang Chen
2014	A*	`conf`	Bayesian Max-margin Multi-Task Learning with Data Augmentation. ICML Chengtao Li, Jun Zhu, Jianfei Chen
2014	J	`jnl`	Big Learning with Bayesian Methods. CoRR Jun Zhu, Jianfei Chen, Wenbo Hu
2014	A*	`conf`	Dropout Training for Support Vector Machines. AAAI Ning Chen, Jun Zhu, Jianfei Chen, Bo Zhang
2014	J	`jnl`	Dropout Training for Support Vector Machines. CoRR Ning Chen, Jun Zhu, Jianfei Chen, Bo Zhang
2014	—	`conf`	TopicPanorama: A full picture of relevant topics. IEEE VAST Shixia Liu, Xiting Wang, Jianfei Chen, Jim Zhu, Baining Guo
2013	—	`conf`	Scalable Inference for Logistic-Normal Topic Models. NIPS Jianfei Chen, Jun Zhu, Zi Wang, Xun Zheng, Bo Zhang