Ruixiang Zhang

74 papers A* 11A 1B 1C 6Journal 52Unranked 2

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	An Efficient and Explainable Multi-Task Learning Framework for Wireless Signal Recognition Tasks. IEEE Wirel. Commun. Lett. Ruixiang Zhang, Deguo Zeng, Yezhuo Zhang, Zinan Zhou, Guangyu Li, Xuanpeng Li
2026	J	`jnl`	DN-TOD: Robust tiny object detection amidst label noise. Pattern Recognit. Haoran Zhu, Chang Xu, Wen Yang, Ruixiang Zhang, Yan Zhang, Gui-Song Xia
2026	J	`jnl`	Oriented Tiny Object Detection: A Dataset, Benchmark, and Dynamic Unbiased Learning. IEEE Trans. Pattern Anal. Mach. Intell. Chang Xu, Ruixiang Zhang, Wen Yang, Haoran Zhu, Fang Xu, Jian Ding, Gui-Song Xia
2025	J	`jnl`	A Dual Two-Stage Attention-based Model for interpretable hard landing prediction from flight data. Eng. Appl. Artif. Intell. Jiaxing Shang, Xiaoquan Li, Ruixiang Zhang, Linjiang Zheng, Xu Li, Riquan Zhang, Xinbin Zhao, Fan Li, Hong Sun
2025	C	`conf`	ChipChat: Low-Latency Cascaded Conversational Agent in MLX. ASRU Tatiana Likhomanenko, Luke Carlson, Richard He Bai, Zijin Gu, Han Tran, Zakaria Aldeneh, Yizhe Zhang, Ruixiang Zhang, Huangjie Zheng, Navdeep Jaitly
2025	J	`jnl`	ChipChat: Low-Latency Cascaded Conversational Agent in MLX. CoRR Tatiana Likhomanenko, Luke Carlson, Richard He Bai, Zijin Gu, Han Tran, Zakaria Aldeneh, Yizhe Zhang, Ruixiang Zhang, Huangjie Zheng, Navdeep Jaitly
2025	A	`conf`	Composition and Control with Distilled Energy Diffusion Models and Sequential Monte Carlo. AISTATS James Thornton, Louis Béthune, Ruixiang Zhang, Arwen Bradley, Preetum Nakkiran, Shuangfei Zhai
2025	J	`jnl`	Composition and Control with Distilled Energy Diffusion Models and Sequential Monte Carlo. CoRR James Thornton, Louis Béthune, Ruixiang Zhang, Arwen Bradley, Preetum Nakkiran, Shuangfei Zhai
2025	J	`jnl`	Continuously Augmented Discrete Diffusion model for Categorical Generative Modeling. CoRR Huangjie Zheng, Shansan Gong, Ruixiang Zhang, Tianrong Chen, Jiatao Gu, Mingyuan Zhou, Navdeep Jaitly, Yizhe Zhang
2025	J	`jnl`	DiffuCoder: Understanding and Improving Masked Diffusion Models for Code Generation. CoRR Shansan Gong, Ruixiang Zhang, Huangjie Zheng, Jiatao Gu, Navdeep Jaitly, Lingpeng Kong, Yizhe Zhang
2025	J	`jnl`	Discrete Neural Flow Samplers with Locally Equivariant Transformer. CoRR Zijing Ou, Ruixiang Zhang, Yingzhen Li
2025	J	`jnl`	Flexible Language Modeling in Continuous Space with Transformer-based Autoregressive Flows. CoRR Ruixiang Zhang, Shuangfei Zhai, Jiatao Gu, Yizhe Zhang, Huangjie Zheng, Tianrong Chen, Miguel Ángel Bautista, Joshua M. Susskind, Navdeep Jaitly
2025	J	`jnl`	Improving GFlowNets for Text-to-Image Diffusion Alignment. Trans. Mach. Learn. Res. Dinghuai Zhang, Yizhe Zhang, Jiatao Gu, Ruixiang Zhang, Joshua M. Susskind, Navdeep Jaitly, Shuangfei Zhai
2025	J	`jnl`	Minimizing Sample Redundancy for Label-Efficient Object Detection in Aerial Images. IEEE Trans. Geosci. Remote. Sens. Ruixiang Zhang, Chang Xu, Haoran Zhu, Fang Xu, Wen Yang, Haijian Zhang, Gui-Song Xia
2025	A*	`conf`	Normalizing Flows are Capable Generative Models. ICML Shuangfei Zhai, Ruixiang Zhang, Preetum Nakkiran, David Berthelot, Jiatao Gu, Huangjie Zheng, Tianrong Chen, Miguel Ángel Bautista, Navdeep Jaitly, Joshua M. Susskind
2025	J	`jnl`	Reversal Blessing: Thinking Backward May Outpace Thinking Forward in Multi-choice Questions. CoRR Yizhe Zhang, Richard He Bai, Zijin Gu, Ruixiang Zhang, Jiatao Gu, Emmanuel Abbe, Samy Bengio, Navdeep Jaitly
2025	J	`jnl`	STARFlow: Scaling Latent Normalizing Flows for High-resolution Image Synthesis. CoRR Jiatao Gu, Tianrong Chen, David Berthelot, Huangjie Zheng, Yuyang Wang, Ruixiang Zhang, Laurent Dinh, Miguel Ángel Bautista, Josh M. Susskind, Shuangfei Zhai
2025	A*	`conf`	Target Concrete Score Matching: A Holistic Framework for Discrete Diffusion. ICML Ruixiang Zhang, Shuangfei Zhai, Yizhe Zhang, James Thornton, Zijing Ou, Joshua M. Susskind, Navdeep Jaitly
2025	J	`jnl`	Target Concrete Score Matching: A Holistic Framework for Discrete Diffusion. CoRR Ruixiang Zhang, Shuangfei Zhai, Yizhe Zhang, James Thornton, Zijing Ou, Joshua M. Susskind, Navdeep Jaitly
2024	C	`conf`	AODet: Anti-Occlusion for Enhanced Small Object Detection in Drone-Based RGBT Imagery. IGARSS Ziming Gui, Yan Zhang, Xu Lei, Ruixiang Zhang, Wen Yang
2024	J	`jnl`	Beyond Dehazing: Learning Intrinsic Hazy Robustness for Aerial Object Detection. IEEE Trans. Geosci. Remote. Sens. Qian Hu, Yan Zhang, Ruixiang Zhang, Fang Xu, Wen Yang
2024	J	`jnl`	BuildMon: Building Extraction and Change Monitoring in Time Series Remote Sensing Images. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. Yuxuan Wang, Shuailin Chen, Ruixiang Zhang, Fang Xu, Shuo Liang, Yujing Wang, Wen Yang
2024	J	`jnl`	Class-Incremental Novel Category Discovery in Remote Sensing Image Scene Classification via Contrastive Learning. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. Yifan Zhou, Haoran Zhu, Chang Xu, Ruixiang Zhang, Guang Hua, Wen Yang
2024	C	`conf`	Cross-Resolution Distillation for Building Extraction in Medium-Resolution Satellite Imagery. IGARSS Yuxuan Wang, Shuailin Chen, Ruixiang Zhang, Fang Xu, Pingping Huang, Wen Yang
2024	C	`conf`	Decoupled Multi-Teacher: Cross-Modal Learning Enhanced Object Detection in SAR Imagery. IGARSS Ruixiang Zhang, Yuxuan Wang, Haoyuan Li, Pingping Huang, Wen Yang
2024	J	`jnl`	Enhancing Fine-grained Object Detection in Aerial Images via Orthogonal Mapping. CoRR Haoran Zhu, Yifan Zhou, Chang Xu, Ruixiang Zhang, Wen Yang
2024	J	`jnl`	FHPE-Net: Pedestrian Intention Prediction Using Fusion with Head Pose Estimation Based on RNN. Inf. Technol. Control. Zhiyong Yang, Zihang Guo, Ruixiang Zhang, Jieru Guo, Yu Zhou
2024	J	`jnl`	HAVANA: Hard Negative Sample-Aware Self-Supervised Contrastive Learning for Airborne Laser Scanning Point Cloud Semantic Segmentation. Remote. Sens. Yunsheng Zhang, Jianguo Yao, Ruixiang Zhang, Xuying Wang, Siyang Chen, Han Fu
2024	J	`jnl`	How Far Are We from Intelligent Visual Deductive Reasoning? CoRR Yizhe Zhang, He Bai, Ruixiang Zhang, Jiatao Gu, Shuangfei Zhai, Josh M. Susskind, Navdeep Jaitly
2024	J	`jnl`	Improving GFlowNets for Text-to-Image Diffusion Alignment. CoRR Dinghuai Zhang, Yizhe Zhang, Jiatao Gu, Ruixiang Zhang, Josh M. Susskind, Navdeep Jaitly, Shuangfei Zhai
2024	J	`jnl`	Normalizing Flows are Capable Generative Models. CoRR Shuangfei Zhai, Ruixiang Zhang, Preetum Nakkiran, David Berthelot, Jiatao Gu, Huangjie Zheng, Tianrong Chen, Miguel Ángel Bautista, Navdeep Jaitly, Joshua M. Susskind
2024	J	`jnl`	Oriented Tiny Object Detection: A Dataset, Benchmark, and Dynamic Unbiased Learning. CoRR Chang Xu, Ruixiang Zhang, Wen Yang, Haoran Zhu, Fang Xu, Jian Ding, Gui-Song Xia
2024	J	`jnl`	Robust Tiny Object Detection in Aerial Images amidst Label Noise. CoRR Haoran Zhu, Chang Xu, Wen Yang, Ruixiang Zhang, Yan Zhang, Gui-Song Xia
2024	J	`jnl`	Tiny Object Detection with Single Point Supervision. CoRR Haoran Zhu, Chang Xu, Ruixiang Zhang, Fang Xu, Wen Yang, Haijian Zhang, Gui-Song Xia
2024	J	`jnl`	TypeScore: A Text Fidelity Metric for Text-to-Image Generative Models. CoRR Georgia Gabriela Sampaio, Ruixiang Zhang, Shuangfei Zhai, Jiatao Gu, Josh M. Susskind, Navdeep Jaitly, Yizhe Zhang
2024	J	`jnl`	dMel: Speech Tokenization made Simple. CoRR He Bai, Tatiana Likhomanenko, Ruixiang Zhang, Zijin Gu, Zakaria Aldeneh, Navdeep Jaitly
2023	A*	`conf`	Analog Bits: Generating Discrete Data using Diffusion Models with Self-Conditioning. ICLR Ting Chen, Ruixiang Zhang, Geoffrey E. Hinton
2023	J	`jnl`	Fine-Grained Ship Detection in High-Resolution Satellite Images With Shape-Aware Feature Learning. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. Bo Guo, Ruixiang Zhang, Haowen Guo, Wen Yang, Huai Yu, Peng Zhang, Tongyuan Zou
2023	J	`jnl`	IPCONV: Convolution with Multiple Different Kernels for Point Cloud Semantic Segmentation. Remote. Sens. Ruixiang Zhang, Siyang Chen, Xuying Wang, Yunsheng Zhang
2023	J	`jnl`	Rethinking Scale Imbalance in Semi-supervised Object Detection for Aerial Images. CoRR Ruixiang Zhang, Chang Xu, Fang Xu, Wen Yang, Guangjun He, Huai Yu, Gui-Song Xia
2023	A*	`conf`	Robust and Controllable Object-Centric Learning through Energy-based Models. ICLR Ruixiang Zhang, Tong Che, Boris Ivanovic, Renhao Wang, Marco Pavone, Yoshua Bengio, Liam Paull
2022	J	`jnl`	Analog Bits: Generating Discrete Data using Diffusion Models with Self-Conditioning. CoRR Ting Chen, Ruixiang Zhang, Geoffrey E. Hinton
2022	J	`jnl`	HAVANA: Hard negAtiVe sAmples aware self-supervised coNtrastive leArning for Airborne laser scanning point clouds semantic segmentation. CoRR Yunsheng Zhang, Jianguo Yao, Ruixiang Zhang, Siyang Chen, Haifeng Li
2022	J	`jnl`	Hierarchical Prediction and Adversarial Learning For Conditional Response Generation. IEEE Trans. Knowl. Data Eng. Yanran Li, Ruixiang Zhang, Wenjie Li, Ziqiang Cao
2022	A*	`conf`	Learning Representation from Neural Fisher Kernel with Low-rank Approximation. ICLR Ruixiang Zhang, Shuangfei Zhai, Etai Littwin, Joshua M. Susskind
2022	J	`jnl`	Learning Representation from Neural Fisher Kernel with Low-rank Approximation. CoRR Ruixiang Zhang, Shuangfei Zhai, Etai Littwin, Josh M. Susskind
2022	J	`jnl`	Meta-RangeSeg: LiDAR Sequence Semantic Segmentation Using Multiple Feature Aggregation. CoRR Song Wang, Jianke Zhu, Ruixiang Zhang
2022	J	`jnl`	Meta-RangeSeg: LiDAR Sequence Semantic Segmentation Using Multiple Feature Aggregation. IEEE Robotics Autom. Lett. Song Wang, Jianke Zhu, Ruixiang Zhang
2022	J	`jnl`	Optical-Enhanced Oil Tank Detection in High-Resolution SAR Images. IEEE Trans. Geosci. Remote. Sens. Ruixiang Zhang, Haowen Guo, Fang Xu, Wen Yang, Huai Yu, Haijian Zhang, Gui-Song Xia
2022	J	`jnl`	Robust and Controllable Object-Centric Learning through Energy-based Models. CoRR Ruixiang Zhang, Tong Che, Boris Ivanovic, Renhao Wang, Marco Pavone, Yoshua Bengio, Liam Paull
2021	J	`jnl`	Accurate Bridge Detection in Aerial Images With an Auxiliary Waterbody Extraction Task. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. Haowen Guo, Ruixiang Zhang, Yuxuan Wang, Wen Yang, Heng-Chao Li, Gui-Song Xia
2021	J	`jnl`	An Attention Free Transformer. CoRR Shuangfei Zhai, Walter Talbott, Nitish Srivastava, Chen Huang, Hanlin Goh, Ruixiang Zhang, Josh M. Susskind
2021	A*	`conf`	Deep Verifier Networks: Verification of Deep Discriminative Models with Deep Generative Models. AAAI Tong Che, Xiaofeng Liu, Site Li, Yubin Ge, Ruixiang Zhang, Caiming Xiong, Yoshua Bengio
2021	A*	`conf`	RPVNet: A Deep and Efficient Range-Point-Voxel Fusion Network for LiDAR Point Cloud Segmentation. ICCV Jianyun Xu, Ruixiang Zhang, Jian Dou, Yushi Zhu, Jie Sun, Shiliang Pu
2021	J	`jnl`	RPVNet: A Deep and Efficient Range-Point-Voxel Fusion Network for LiDAR Point Cloud Segmentation. CoRR Jianyun Xu, Ruixiang Zhang, Jian Dou, Yushi Zhu, Jie Sun, Shiliang Pu
2020	C	`conf`	Edge-Driven Object Matching for UAV Images and Satellite SAR Images. IGARSS Ruixiang Zhang, Fang Xu, Huai Yu, Wen Yang, Heng-Chao Li
2020	J	`jnl`	Improving unsupervised anomaly localization by applying multi-scale memories to autoencoders. CoRR Yifei Yang, Shibing Xiang, Ruixiang Zhang
2020	J	`jnl`	Learning Structured Latent Factors from Dependent Data: A Generative Model Framework from Information-Theoretic Perspective. CoRR Ruixiang Zhang, Masanori Koyama, Katsuhiko Ishiguro
2020	A*	`conf`	Learning Structured Latent Factors from Dependent Data:A Generative Model Framework from Information-Theoretic Perspective. ICML Ruixiang Zhang, Masanori Koyama, Katsuhiko Ishiguro
2020	A*	`conf`	Perceptual Generative Autoencoders. ICML Zijun Zhang, Ruixiang Zhang, Zongpeng Li, Yoshua Bengio, Liam Paull
2020	B	`conf`	Tiny Object Detection in Aerial Images. ICPR Jinwang Wang, Wen Yang, Haowen Guo, Ruixiang Zhang, Gui-Song Xia
2020	A*	`conf`	Your GAN is Secretly an Energy-based Model and You Should Use Discriminator Driven Latent Sampling. NeurIPS Tong Che, Ruixiang Zhang, Jascha Sohl-Dickstein, Hugo Larochelle, Liam Paull, Yuan Cao, Yoshua Bengio
2020	J	`jnl`	Your GAN is Secretly an Energy-based Model and You Should use Discriminator Driven Latent Sampling. CoRR Tong Che, Ruixiang Zhang, Jascha Sohl-Dickstein, Hugo Larochelle, Liam Paull, Yuan Cao, Yoshua Bengio
2019	J	`jnl`	Deep Verifier Networks: Verification of Deep Discriminative Models with Deep Generative Models. CoRR Tong Che, Xiaofeng Liu, Site Li, Yubin Ge, Ruixiang Zhang, Caiming Xiong, Yoshua Bengio
2019	C	`conf`	Mental Retrieval of Large-Scale Satellite Images Via Learned Sketch-Image Deep Features. IGARSS Fang Xu, Ruixiang Zhang, Wen Yang, Gui-Song Xia
2019	—	`conf`	Perceptual Generative Autoencoders. DGS@ICLR Zijun Zhang, Ruixiang Zhang, Zongpeng Li, Yoshua Bengio, Liam Paull
2019	J	`jnl`	Perceptual Generative Autoencoders. CoRR Zijun Zhang, Ruixiang Zhang, Zongpeng Li, Yoshua Bengio, Liam Paull
2018	A*	`conf`	MetaGAN: An Adversarial Approach to Few-Shot Learning. NeurIPS Ruixiang Zhang, Tong Che, Zoubin Ghahramani, Yoshua Bengio, Yangqiu Song
2017	J	`jnl`	Highly incidental patterns on a quadratic hypersurface in R Discret. Math. Noam Solomon, Ruixiang Zhang
2017	J	`jnl`	Maximum-Likelihood Augmented Discrete Generative Adversarial Networks. CoRR Tong Che, Yanran Li, Ruixiang Zhang, R. Devon Hjelm, Wenjie Li, Yangqiu Song, Yoshua Bengio
2017	—	`conf`	Understanding Hidden Memories of Recurrent Neural Networks. VAST Yao Ming, Shaozu Cao, Ruixiang Zhang, Zhen Li, Yuanzhe Chen, Yangqiu Song, Huamin Qu
2017	J	`jnl`	Understanding Hidden Memories of Recurrent Neural Networks. CoRR Yao Ming, Shaozu Cao, Ruixiang Zhang, Zhen Li, Yuanzhe Chen, Yangqiu Song, Huamin Qu
2012	—	`—`	Design and implementation of an autonomous climbing robot. Ruixiang Zhang
2011	J	`jnl`	On the Number of Ordinary Circles Determined by Discret. Comput. Geom. Ruixiang Zhang