Ruixiang Zhang

Publication Activity (10 Years)

Years Active: 2011-2024
Publications (10 Years): 44

Top Topics

Diffusion Model

Top Venues

IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens.

Publications

Yifan Zhou, Haoran Zhu, Chang Xu, Ruixiang Zhang, Guang Hua, Wen Yang
Class-Incremental Novel Category Discovery in Remote Sensing Image Scene Classification via Contrastive Learning. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 17 (2024)
Haoran Zhu, Chang Xu, Wen Yang, Ruixiang Zhang, Yan Zhang, Gui-Song Xia
Robust Tiny Object Detection in Aerial Images amidst Label Noise. CoRR (2024)
Haoran Zhu, Yifan Zhou, Chang Xu, Ruixiang Zhang, Wen Yang
Enhancing Fine-grained Object Detection in Aerial Images via Orthogonal Mapping. CoRR (2024)
Yunsheng Zhang, Jianguo Yao, Ruixiang Zhang, Xuying Wang, Siyang Chen, Han Fu
HAVANA: Hard Negative Sample-Aware Self-Supervised Contrastive Learning for Airborne Laser Scanning Point Cloud Semantic Segmentation. Remote. Sens. 16 (3) (2024)
Dinghuai Zhang, Yizhe Zhang, Jiatao Gu, Ruixiang Zhang, Josh M. Susskind, Navdeep Jaitly, Shuangfei Zhai
Improving GFlowNets for Text-to-Image Diffusion Alignment. CoRR (2024)
Yizhe Zhang, He Bai, Ruixiang Zhang, Jiatao Gu, Shuangfei Zhai, Josh M. Susskind, Navdeep Jaitly
How Far Are We from Intelligent Visual Deductive Reasoning? CoRR (2024)
He Bai, Tatiana Likhomanenko, Ruixiang Zhang, Zijin Gu, Zakaria Aldeneh, Navdeep Jaitly
dMel: Speech Tokenization made Simple. CoRR (2024)
Yuxuan Wang, Shuailin Chen, Ruixiang Zhang, Fang Xu, Shuo Liang, Yujing Wang, Wen Yang
BuildMon: Building Extraction and Change Monitoring in Time Series Remote Sensing Images. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 17 (2024)
Ruixiang Zhang, Siyang Chen, Xuying Wang, Yunsheng Zhang
IPCONV: Convolution with Multiple Different Kernels for Point Cloud Semantic Segmentation. Remote. Sens. 15 (21) (2023)
Ting Chen, Ruixiang Zhang, Geoffrey E. Hinton
Analog Bits: Generating Discrete Data using Diffusion Models with Self-Conditioning. ICLR (2023)
Ruixiang Zhang, Chang Xu, Fang Xu, Wen Yang, Guangjun He, Huai Yu, Gui-Song Xia
Rethinking Scale Imbalance in Semi-supervised Object Detection for Aerial Images. CoRR (2023)
Ruixiang Zhang, Tong Che, Boris Ivanovic, Renhao Wang, Marco Pavone, Yoshua Bengio, Liam Paull
Robust and Controllable Object-Centric Learning through Energy-based Models. ICLR (2023)
Bo Guo, Ruixiang Zhang, Haowen Guo, Wen Yang, Huai Yu, Peng Zhang, Tongyuan Zou
Fine-Grained Ship Detection in High-Resolution Satellite Images With Shape-Aware Feature Learning. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 16 (2023)
Ting Chen, Ruixiang Zhang, Geoffrey E. Hinton
Analog Bits: Generating Discrete Data using Diffusion Models with Self-Conditioning. CoRR (2022)
Ruixiang Zhang, Shuangfei Zhai, Etai Littwin, Josh M. Susskind
Learning Representation from Neural Fisher Kernel with Low-rank Approximation. CoRR (2022)
Song Wang, Jianke Zhu, Ruixiang Zhang
Meta-RangeSeg: LiDAR Sequence Semantic Segmentation Using Multiple Feature Aggregation. CoRR (2022)
Ruixiang Zhang, Tong Che, Boris Ivanovic, Renhao Wang, Marco Pavone, Yoshua Bengio, Liam Paull
Robust and Controllable Object-Centric Learning through Energy-based Models. CoRR (2022)
Yunsheng Zhang, Jianguo Yao, Ruixiang Zhang, Siyang Chen, Haifeng Li
HAVANA: Hard negAtiVe sAmples aware self-supervised coNtrastive leArning for Airborne laser scanning point clouds semantic segmentation. CoRR (2022)
Ruixiang Zhang, Shuangfei Zhai, Etai Littwin, Joshua M. Susskind
Learning Representation from Neural Fisher Kernel with Low-rank Approximation. ICLR (2022)
Ruixiang Zhang, Haowen Guo, Fang Xu, Wen Yang, Huai Yu, Haijian Zhang, Gui-Song Xia
Optical-Enhanced Oil Tank Detection in High-Resolution SAR Images. IEEE Trans. Geosci. Remote. Sens. 60 (2022)
Yanran Li, Ruixiang Zhang, Wenjie Li, Ziqiang Cao
Hierarchical Prediction and Adversarial Learning For Conditional Response Generation. IEEE Trans. Knowl. Data Eng. 34 (1) (2022)
Song Wang, Jianke Zhu, Ruixiang Zhang
Meta-RangeSeg: LiDAR Sequence Semantic Segmentation Using Multiple Feature Aggregation. IEEE Robotics Autom. Lett. 7 (4) (2022)
Shuangfei Zhai, Walter Talbott, Nitish Srivastava, Chen Huang, Hanlin Goh, Ruixiang Zhang, Josh M. Susskind
An Attention Free Transformer. CoRR (2021)
Jianyun Xu, Ruixiang Zhang, Jian Dou, Yushi Zhu, Jie Sun, Shiliang Pu
RPVNet: A Deep and Efficient Range-Point-Voxel Fusion Network for LiDAR Point Cloud Segmentation. ICCV (2021)
Tong Che, Xiaofeng Liu, Site Li, Yubin Ge, Ruixiang Zhang, Caiming Xiong, Yoshua Bengio
Deep Verifier Networks: Verification of Deep Discriminative Models with Deep Generative Models. AAAI (2021)
Jianyun Xu, Ruixiang Zhang, Jian Dou, Yushi Zhu, Jie Sun, Shiliang Pu
RPVNet: A Deep and Efficient Range-Point-Voxel Fusion Network for LiDAR Point Cloud Segmentation. CoRR (2021)
Haowen Guo, Ruixiang Zhang, Yuxuan Wang, Wen Yang, Heng-Chao Li, Gui-Song Xia
Accurate Bridge Detection in Aerial Images With an Auxiliary Waterbody Extraction Task. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 14 (2021)
Tong Che, Ruixiang Zhang, Jascha Sohl-Dickstein, Hugo Larochelle, Liam Paull, Yuan Cao, Yoshua Bengio
Your GAN is Secretly an Energy-based Model and You Should use Discriminator Driven Latent Sampling. CoRR (2020)
Ruixiang Zhang, Masanori Koyama, Katsuhiko Ishiguro
Learning Structured Latent Factors from Dependent Data:A Generative Model Framework from Information-Theoretic Perspective. ICML (2020)
Jinwang Wang, Wen Yang, Haowen Guo, Ruixiang Zhang, Gui-Song Xia
Tiny Object Detection in Aerial Images. ICPR (2020)
Ruixiang Zhang, Fang Xu, Huai Yu, Wen Yang, Heng-Chao Li
Edge-Driven Object Matching for UAV Images and Satellite SAR Images. IGARSS (2020)
Tong Che, Ruixiang Zhang, Jascha Sohl-Dickstein, Hugo Larochelle, Liam Paull, Yuan Cao, Yoshua Bengio
Your GAN is Secretly an Energy-based Model and You Should Use Discriminator Driven Latent Sampling. NeurIPS (2020)
Zijun Zhang, Ruixiang Zhang, Zongpeng Li, Yoshua Bengio, Liam Paull
Perceptual Generative Autoencoders. ICML (2020)
Yifei Yang, Shibing Xiang, Ruixiang Zhang
Improving unsupervised anomaly localization by applying multi-scale memories to autoencoders. CoRR (2020)
Ruixiang Zhang, Masanori Koyama, Katsuhiko Ishiguro
Learning Structured Latent Factors from Dependent Data: A Generative Model Framework from Information-Theoretic Perspective. CoRR (2020)
Zijun Zhang, Ruixiang Zhang, Zongpeng Li, Yoshua Bengio, Liam Paull
Perceptual Generative Autoencoders. DGS@ICLR (2019)
Tong Che, Xiaofeng Liu, Site Li, Yubin Ge, Ruixiang Zhang, Caiming Xiong, Yoshua Bengio
Deep Verifier Networks: Verification of Deep Discriminative Models with Deep Generative Models. CoRR (2019)
Fang Xu, Ruixiang Zhang, Wen Yang, Gui-Song Xia
Mental Retrieval of Large-Scale Satellite Images Via Learned Sketch-Image Deep Features. IGARSS (2019)
Zijun Zhang, Ruixiang Zhang, Zongpeng Li, Yoshua Bengio, Liam Paull
Perceptual Generative Autoencoders. CoRR (2019)
Ruixiang Zhang, Tong Che, Zoubin Ghahramani, Yoshua Bengio, Yangqiu Song
MetaGAN: An Adversarial Approach to Few-Shot Learning. NeurIPS (2018)
Tong Che, Yanran Li, Ruixiang Zhang, R. Devon Hjelm, Wenjie Li, Yangqiu Song, Yoshua Bengio
Maximum-Likelihood Augmented Discrete Generative Adversarial Networks. CoRR (2017)
Yao Ming, Shaozu Cao, Ruixiang Zhang, Zhen Li, Yuanzhe Chen, Yangqiu Song, Huamin Qu
Understanding Hidden Memories of Recurrent Neural Networks. VAST (2017)
Yao Ming, Shaozu Cao, Ruixiang Zhang, Zhen Li, Yuanzhe Chen, Yangqiu Song, Huamin Qu
Understanding Hidden Memories of Recurrent Neural Networks. CoRR (2017)
Noam Solomon, Ruixiang Zhang
. Discret. Math. 340 (4) (2017)
Ruixiang Zhang
Points. Discret. Comput. Geom. 46 (2) (2011)