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Books and Theses
- 2012
[b1]Ruixiang Zhang:
Design and implementation of an autonomous climbing robot. Stanford University, USA, 2012
Journal Articles
- 2024
- [j11]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): 485 (2024) - [j10]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: 9214-9225 (2024) - [j9]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: 10813-10826 (2024) - 2023
- [j8]Ruixiang Zhang, Siyang Chen, Xuying Wang, Yunsheng Zhang:
IPCONV: Convolution with Multiple Different Kernels for Point Cloud Semantic Segmentation. Remote. Sens. 15(21): 5136 (2023) - [j7]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: 1914-1926 (2023) - 2022
- [j6]Song Wang, Jianke Zhu, Ruixiang Zhang:
Meta-RangeSeg: LiDAR Sequence Semantic Segmentation Using Multiple Feature Aggregation. IEEE Robotics Autom. Lett. 7(4): 9739-9746 (2022) - [j5]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: 1-12 (2022) - [j4]Yanran Li, Ruixiang Zhang, Wenjie Li, Ziqiang Cao:
Hierarchical Prediction and Adversarial Learning For Conditional Response Generation. IEEE Trans. Knowl. Data Eng. 34(1): 314-327 (2022) - 2021
- [j3]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: 9651-9666 (2021) - 2017
- [j2]Noam Solomon, Ruixiang Zhang:
Highly incidental patterns on a quadratic hypersurface in R4. Discret. Math. 340(4): 585-590 (2017) - 2011
- [j1]Ruixiang Zhang:
On the Number of Ordinary Circles Determined by n Points. Discret. Comput. Geom. 46(2): 205-211 (2011)
Conference and Workshop Papers
- 2024
- [c17]Ziming Gui, Yan Zhang, Xu Lei, Ruixiang Zhang, Wen Yang:
AODet: Anti-Occlusion for Enhanced Small Object Detection in Drone-Based RGBT Imagery. IGARSS 2024: 954-958 - [c16]Ruixiang Zhang, Yuxuan Wang, Haoyuan Li, Pingping Huang, Wen Yang:
Decoupled Multi-Teacher: Cross-Modal Learning Enhanced Object Detection in SAR Imagery. IGARSS 2024: 7858-7862 - [c15]Yuxuan Wang, Shuailin Chen, Ruixiang Zhang, Fang Xu, Pingping Huang, Wen Yang:
Cross-Resolution Distillation for Building Extraction in Medium-Resolution Satellite Imagery. IGARSS 2024: 8122-8126 - 2023
- [c14]Ting Chen, Ruixiang Zhang, Geoffrey E. Hinton:
Analog Bits: Generating Discrete Data using Diffusion Models with Self-Conditioning. ICLR 2023 - [c13]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 - 2022
- [c12]Ruixiang Zhang, Shuangfei Zhai, Etai Littwin, Joshua M. Susskind:
Learning Representation from Neural Fisher Kernel with Low-rank Approximation. ICLR 2022 - 2021
- [c11]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: 7002-7010 - [c10]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: 16004-16013 - 2020
- [c9]Ruixiang Zhang, Masanori Koyama, Katsuhiko Ishiguro:
Learning Structured Latent Factors from Dependent Data:A Generative Model Framework from Information-Theoretic Perspective. ICML 2020: 11141-11152 - [c8]Zijun Zhang, Ruixiang Zhang, Zongpeng Li, Yoshua Bengio, Liam Paull:
Perceptual Generative Autoencoders. ICML 2020: 11298-11306 - [c7]Jinwang Wang, Wen Yang, Haowen Guo, Ruixiang Zhang, Gui-Song Xia:
Tiny Object Detection in Aerial Images. ICPR 2020: 3791-3798 - [c6]Ruixiang Zhang, Fang Xu, Huai Yu, Wen Yang, Heng-Chao Li:
Edge-Driven Object Matching for UAV Images and Satellite SAR Images. IGARSS 2020: 1663-1666 - [c5]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 - 2019
- [c4]Zijun Zhang, Ruixiang Zhang, Zongpeng Li, Yoshua Bengio, Liam Paull:
Perceptual Generative Autoencoders. DGS@ICLR 2019 - [c3]Fang Xu, Ruixiang Zhang, Wen Yang, Gui-Song Xia:
Mental Retrieval of Large-Scale Satellite Images Via Learned Sketch-Image Deep Features. IGARSS 2019: 3356-3359 - 2018
- [c2]Ruixiang Zhang, Tong Che, Zoubin Ghahramani, Yoshua Bengio, Yangqiu Song:
MetaGAN: An Adversarial Approach to Few-Shot Learning. NeurIPS 2018: 2371-2380 - 2017
- [c1]Yao Ming, Shaozu Cao, Ruixiang Zhang, Zhen Li, Yuanzhe Chen, Yangqiu Song, Huamin Qu:
Understanding Hidden Memories of Recurrent Neural Networks. VAST 2017: 13-24
Informal and Other Publications
- 2024
- [i20]Haoran Zhu, Chang Xu, Wen Yang, Ruixiang Zhang, Yan Zhang, Gui-Song Xia:
Robust Tiny Object Detection in Aerial Images amidst Label Noise. CoRR abs/2401.08056 (2024) - [i19]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 abs/2403.04732 (2024) - [i18]Dinghuai Zhang, Yizhe Zhang, Jiatao Gu, Ruixiang Zhang, Josh M. Susskind, Navdeep Jaitly, Shuangfei Zhai:
Improving GFlowNets for Text-to-Image Diffusion Alignment. CoRR abs/2406.00633 (2024) - [i17]He Bai, Tatiana Likhomanenko, Ruixiang Zhang, Zijin Gu, Zakaria Aldeneh, Navdeep Jaitly:
dMel: Speech Tokenization made Simple. CoRR abs/2407.15835 (2024) - [i16]Haoran Zhu, Yifan Zhou, Chang Xu, Ruixiang Zhang, Wen Yang:
Enhancing Fine-grained Object Detection in Aerial Images via Orthogonal Mapping. CoRR abs/2407.17738 (2024) - 2023
- [i15]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 abs/2310.14718 (2023) - 2022
- [i14]Ruixiang Zhang, Shuangfei Zhai, Etai Littwin, Josh M. Susskind:
Learning Representation from Neural Fisher Kernel with Low-rank Approximation. CoRR abs/2202.01944 (2022) - [i13]Song Wang, Jianke Zhu, Ruixiang Zhang:
Meta-RangeSeg: LiDAR Sequence Semantic Segmentation Using Multiple Feature Aggregation. CoRR abs/2202.13377 (2022) - [i12]Ting Chen, Ruixiang Zhang, Geoffrey E. Hinton:
Analog Bits: Generating Discrete Data using Diffusion Models with Self-Conditioning. CoRR abs/2208.04202 (2022) - [i11]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 abs/2210.05519 (2022) - [i10]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 abs/2210.10626 (2022) - 2021
- [i9]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 abs/2103.12978 (2021) - [i8]Shuangfei Zhai, Walter Talbott, Nitish Srivastava, Chen Huang, Hanlin Goh, Ruixiang Zhang, Josh M. Susskind:
An Attention Free Transformer. CoRR abs/2105.14103 (2021) - 2020
- [i7]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 abs/2003.06060 (2020) - [i6]Ruixiang Zhang, Masanori Koyama, Katsuhiko Ishiguro:
Learning Structured Latent Factors from Dependent Data: A Generative Model Framework from Information-Theoretic Perspective. CoRR abs/2007.10623 (2020) - [i5]Yifei Yang, Shibing Xiang, Ruixiang Zhang:
Improving unsupervised anomaly localization by applying multi-scale memories to autoencoders. CoRR abs/2012.11113 (2020) - 2019
- [i4]Zijun Zhang, Ruixiang Zhang, Zongpeng Li, Yoshua Bengio, Liam Paull:
Perceptual Generative Autoencoders. CoRR abs/1906.10335 (2019) - [i3]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 abs/1911.07421 (2019) - 2017
- [i2]Tong Che, Yanran Li, Ruixiang Zhang, R. Devon Hjelm, Wenjie Li, Yangqiu Song, Yoshua Bengio:
Maximum-Likelihood Augmented Discrete Generative Adversarial Networks. CoRR abs/1702.07983 (2017) - [i1]Yao Ming, Shaozu Cao, Ruixiang Zhang, Zhen Li, Yuanzhe Chen, Yangqiu Song, Huamin Qu:
Understanding Hidden Memories of Recurrent Neural Networks. CoRR abs/1710.10777 (2017)
Coauthor Index
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