On the Number of Ordinary Circles Determined by n Points. - Ruixiang Zhang (Discret. Comput. Geom., 2011)

Design and implementation of an autonomous climbing robot. - Ruixiang Zhang (2012)

Understanding Hidden Memories of Recurrent Neural Networks. - Yao Ming; Shaozu Cao; Ruixiang Zhang; Zhen Li 044; Yuanzhe Chen; Yangqiu Song; Huamin Qu (VAST, 2017)

Maximum-Likelihood Augmented Discrete Generative Adversarial Networks. - Tong Che; Yanran Li; Ruixiang Zhang; R. Devon Hjelm; Wenjie Li 002; Yangqiu Song; Yoshua Bengio (CoRR, 2017)

Highly incidental patterns on a quadratic hypersurface in R4. - Noam Solomon; Ruixiang Zhang (Discret. Math., 2017)

MetaGAN: An Adversarial Approach to Few-Shot Learning. - Ruixiang Zhang; Tong Che; Zoubin Ghahramani; Yoshua Bengio; Yangqiu Song (NeurIPS, 2018)

Mental Retrieval of Large-Scale Satellite Images Via Learned Sketch-Image Deep Features. - Fang Xu; Ruixiang Zhang; Wen Yang 001; Gui-Song Xia (IGARSS, 2019)

Learning Structured Latent Factors from Dependent Data:A Generative Model Framework from Information-Theoretic Perspective. - Ruixiang Zhang; Masanori Koyama; Katsuhiko Ishiguro (ICML, 2020)

Perceptual Generative Autoencoders. - Zijun Zhang; Ruixiang Zhang; Zongpeng Li; Yoshua Bengio; Liam Paull (ICML, 2020)

Tiny Object Detection in Aerial Images. - Jinwang Wang; Wen Yang 001; Haowen Guo; Ruixiang Zhang; Gui-Song Xia (ICPR, 2020)

Edge-Driven Object Matching for UAV Images and Satellite SAR Images. - Ruixiang Zhang; Fang Xu; Huai Yu; Wen Yang 001; Heng-Chao Li 001 (IGARSS, 2020)

Your GAN is Secretly an Energy-based Model and You Should Use Discriminator Driven Latent Sampling. - Tong Che; Ruixiang Zhang; Jascha Sohl-Dickstein; Hugo Larochelle; Liam Paull; Yuan Cao; Yoshua Bengio (NeurIPS, 2020)

Learning Structured Latent Factors from Dependent Data: A Generative Model Framework from Information-Theoretic Perspective. - Ruixiang Zhang; Masanori Koyama; Katsuhiko Ishiguro (CoRR, 2020)

Improving unsupervised anomaly localization by applying multi-scale memories to autoencoders. - Yifei Yang; Shibing Xiang; Ruixiang Zhang (CoRR, 2020)

Deep Verifier Networks: Verification of Deep Discriminative Models with Deep Generative Models. - Tong Che; Xiaofeng Liu 001; Site Li; Yubin Ge; Ruixiang Zhang; Caiming Xiong; Yoshua Bengio (AAAI, 2021)

RPVNet: A Deep and Efficient Range-Point-Voxel Fusion Network for LiDAR Point Cloud Segmentation. - Jianyun Xu; Ruixiang Zhang; Jian Dou; Yushi Zhu; Jie Sun; Shiliang Pu (ICCV, 2021)

An Attention Free Transformer. - Shuangfei Zhai; Walter Talbott; Nitish Srivastava; Chen Huang 001; Hanlin Goh; Ruixiang Zhang; Josh M. Susskind (CoRR, 2021)

Accurate Bridge Detection in Aerial Images With an Auxiliary Waterbody Extraction Task. - Haowen Guo; Ruixiang Zhang; Yuxuan Wang; Wen Yang 001; Heng-Chao Li 001; Gui-Song Xia (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2021)

Learning Representation from Neural Fisher Kernel with Low-rank Approximation. - Ruixiang Zhang; Shuangfei Zhai; Etai Littwin; Joshua M. Susskind (ICLR, 2022)

Meta-RangeSeg: LiDAR Sequence Semantic Segmentation Using Multiple Feature Aggregation. - Song Wang 002; Jianke Zhu; Ruixiang Zhang (CoRR, 2022)

HAVANA: Hard negAtiVe sAmples aware self-supervised coNtrastive leArning for Airborne laser scanning point clouds semantic segmentation. - Yunsheng Zhang; Jianguo Yao; Ruixiang Zhang; Siyang Chen; Haifeng Li 007 (CoRR, 2022)

Meta-RangeSeg: LiDAR Sequence Semantic Segmentation Using Multiple Feature Aggregation. - Song Wang 019; Jianke Zhu; Ruixiang Zhang (IEEE Robotics Autom. Lett., 2022)

Optical-Enhanced Oil Tank Detection in High-Resolution SAR Images. - Ruixiang Zhang; Haowen Guo; Fang Xu; Wen Yang 001; Huai Yu; Haijian Zhang; Gui-Song Xia (IEEE Trans. Geosci. Remote. Sens., 2022)

Hierarchical Prediction and Adversarial Learning For Conditional Response Generation. - Yanran Li; Ruixiang Zhang; Wenjie Li 002; Ziqiang Cao (IEEE Trans. Knowl. Data Eng., 2022)

Analog Bits: Generating Discrete Data using Diffusion Models with Self-Conditioning. - Ting Chen 007; Ruixiang Zhang; Geoffrey E. Hinton (ICLR, 2023)

Robust and Controllable Object-Centric Learning through Energy-based Models. - Ruixiang Zhang; Tong Che; Boris Ivanovic; Renhao Wang; Marco Pavone 001; Yoshua Bengio; Liam Paull (ICLR, 2023)

Rethinking Scale Imbalance in Semi-supervised Object Detection for Aerial Images. - Ruixiang Zhang; Chang Xu; Fang Xu; Wen Yang 001; Guangjun He; Huai Yu; Gui-Song Xia (CoRR, 2023)

Fine-Grained Ship Detection in High-Resolution Satellite Images With Shape-Aware Feature Learning. - Bo Guo; Ruixiang Zhang; Haowen Guo; Wen Yang 001; Huai Yu; Peng Zhang; Tongyuan Zou (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2023)

IPCONV: Convolution with Multiple Different Kernels for Point Cloud Semantic Segmentation. - Ruixiang Zhang; Siyang Chen; Xuying Wang; Yunsheng Zhang (Remote. Sens., 2023)

AODet: Anti-Occlusion for Enhanced Small Object Detection in Drone-Based RGBT Imagery. - Ziming Gui; Yan Zhang; Xu Lei 002; Ruixiang Zhang; Wen Yang 001 (IGARSS, 2024)

Cross-Resolution Distillation for Building Extraction in Medium-Resolution Satellite Imagery. - Yuxuan Wang; Shuailin Chen; Ruixiang Zhang; Fang Xu; Pingping Huang; Wen Yang (IGARSS, 2024)

Decoupled Multi-Teacher: Cross-Modal Learning Enhanced Object Detection in SAR Imagery. - Ruixiang Zhang; Yuxuan Wang; Haoyuan Li; Pingping Huang; Wen Yang (IGARSS, 2024)

Robust Tiny Object Detection in Aerial Images amidst Label Noise. - Haoran Zhu; Chang Xu; Wen Yang 001; Ruixiang Zhang; Yan Zhang; Gui-Song Xia (CoRR, 2024)

How Far Are We from Intelligent Visual Deductive Reasoning? - Yizhe Zhang 002; He Bai 002; Ruixiang Zhang; Jiatao Gu; Shuangfei Zhai; Josh M. Susskind; Navdeep Jaitly (CoRR, 2024)

dMel: Speech Tokenization made Simple. - He Bai 002; Tatiana Likhomanenko; Ruixiang Zhang; Zijin Gu; Zakaria Aldeneh; Navdeep Jaitly (CoRR, 2024)

Enhancing Fine-grained Object Detection in Aerial Images via Orthogonal Mapping. - Haoran Zhu; Yifan Zhou; Chang Xu; Ruixiang Zhang; Wen Yang 001 (CoRR, 2024)

TypeScore: A Text Fidelity Metric for Text-to-Image Generative Models. - Georgia Gabriela Sampaio; Ruixiang Zhang; Shuangfei Zhai; Jiatao Gu; Josh M. Susskind; Navdeep Jaitly; Yizhe Zhang 002 (CoRR, 2024)

Tiny Object Detection with Single Point Supervision. - Haoran Zhu; Chang Xu; Ruixiang Zhang; Fang Xu; Wen Yang 001; Haijian Zhang; Gui-Song Xia (CoRR, 2024)

Normalizing Flows are Capable Generative Models. - Shuangfei Zhai; Ruixiang Zhang; Preetum Nakkiran; David Berthelot; Jiatao Gu; Huangjie Zheng; Tianrong Chen; Miguel Ángel Bautista 001; Navdeep Jaitly; Joshua M. Susskind (CoRR, 2024)

Oriented Tiny Object Detection: A Dataset, Benchmark, and Dynamic Unbiased Learning. - Chang Xu; Ruixiang Zhang; Wen Yang 001; Haoran Zhu; Fang Xu; Jian Ding 001; Gui-Song Xia (CoRR, 2024)

BuildMon: Building Extraction and Change Monitoring in Time Series Remote Sensing Images. - Yuxuan Wang; Shuailin Chen; Ruixiang Zhang; Fang Xu; Shuo Liang; Yujing Wang; Wen Yang 001 (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2024)

Class-Incremental Novel Category Discovery in Remote Sensing Image Scene Classification via Contrastive Learning. - Yifan Zhou; Haoran Zhu; Chang Xu; Ruixiang Zhang; Guang Hua 001; Wen Yang 001 (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2024)

Beyond Dehazing: Learning Intrinsic Hazy Robustness for Aerial Object Detection. - Qian Hu; Yan Zhang; Ruixiang Zhang; Fang Xu; Wen Yang 001 (IEEE Trans. Geosci. Remote. Sens., 2024)

HAVANA: Hard Negative Sample-Aware Self-Supervised Contrastive Learning for Airborne Laser Scanning Point Cloud Semantic Segmentation. - Yunsheng Zhang; Jianguo Yao; Ruixiang Zhang; Xuying Wang; Siyang Chen; Han Fu (Remote. Sens., 2024)

Composition and Control with Distilled Energy Diffusion Models and Sequential Monte Carlo. - James Thornton; Louis Béthune; Ruixiang Zhang; Arwen Bradley; Preetum Nakkiran; Shuangfei Zhai (AISTATS, 2025)

A Dual Two-Stage Attention-based Model for interpretable hard landing prediction from flight data. - Jiaxing Shang; Xiaoquan Li; Ruixiang Zhang; Linjiang Zheng; Xu Li 014; Riquan Zhang; Xinbin Zhao; Fan Li; Hong Sun (Eng. Appl. Artif. Intell., 2025)

Minimizing Sample Redundancy for Label-Efficient Object Detection in Aerial Images. - Ruixiang Zhang; Chang Xu; Haoran Zhu; Fang Xu; Wen Yang 001; Haijian Zhang; Gui-Song Xia (IEEE Trans. Geosci. Remote. Sens., 2025)

Improving GFlowNets for Text-to-Image Diffusion Alignment. - Dinghuai Zhang; Yizhe Zhang 002; Jiatao Gu; Ruixiang Zhang; Joshua M. Susskind; Navdeep Jaitly; Shuangfei Zhai (Trans. Mach. Learn. Res., 2025)

Reversal Blessing: Thinking Backward May Outpace Thinking Forward in Multi-choice Questions. - Yizhe Zhang 002; Richard He Bai; Zijin Gu; Ruixiang Zhang; Jiatao Gu; Emmanuel Abbe; Samy Bengio; Navdeep Jaitly (CoRR, 2025)

Target Concrete Score Matching: A Holistic Framework for Discrete Diffusion. - Ruixiang Zhang; Shuangfei Zhai; Yizhe Zhang 002; James Thornton; Zijing Ou; Joshua M. Susskind; Navdeep Jaitly (CoRR, 2025)

Discrete Neural Flow Samplers with Locally Equivariant Transformer. - Zijing Ou; Ruixiang Zhang; Yingzhen Li (CoRR, 2025)

STARFlow: Scaling Latent Normalizing Flows for High-resolution Image Synthesis. - Jiatao Gu; Tianrong Chen; David Berthelot; Huangjie Zheng; Yuyang Wang; Ruixiang Zhang; Laurent Dinh; Miguel Ángel Bautista 001; Josh M. Susskind; Shuangfei Zhai (CoRR, 2025)

DiffuCoder: Understanding and Improving Masked Diffusion Models for Code Generation. - Shansan Gong; Ruixiang Zhang; Huangjie Zheng; Jiatao Gu; Navdeep Jaitly; Lingpeng Kong; Yizhe Zhang 002 (CoRR, 2025)

Flexible Language Modeling in Continuous Space with Transformer-based Autoregressive Flows. - Ruixiang Zhang; Shuangfei Zhai; Jiatao Gu; Yizhe Zhang 002; Huangjie Zheng; Tianrong Chen; Miguel Ángel Bautista 001; Joshua M. Susskind; Navdeep Jaitly (CoRR, 2025)