Ruixiang Zhang
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
18
Venues
8
Active years
2019–2025
Best venue rank
A*
Where they publish
Papers
18 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2025 | AISTATS | Composition and Control with Distilled Energy Diffusion Models and Sequential Monte Carlo. | James Thornton, Louis Bthune, Ruixiang Zhang, Arwen Bradley, Preetum Nakkiran, Shuangfei Zhai |
| 2025 | ASRU | ChipChat: Low-Latency Cascaded Conversational Agent in MLX. | Tatiana Likhomanenko, Luke Carlson, Richard He Bai, Zijin Gu, Han Tran, Zakaria Aldeneh, Yizhe Zhang, Ruixiang Zhang, Huangjie Zheng, Navdeep Jaitly |
| 2025 | ICML | Normalizing Flows are Capable Generative Models. | Shuangfei Zhai, Ruixiang Zhang, Preetum Nakkiran, David Berthelot, Jiatao Gu, Huangjie Zheng, Tianrong Chen, Miguel ngel Bautista, Navdeep Jaitly, Joshua M. Susskind |
| 2025 | ICML | Target Concrete Score Matching: A Holistic Framework for Discrete Diffusion. | Ruixiang Zhang, Shuangfei Zhai, Yizhe Zhang, James Thornton, Zijing Ou, Joshua M. Susskind, Navdeep Jaitly |
| 2024 | IGARSS | Cross-Resolution Distillation for Building Extraction in Medium-Resolution Satellite Imagery. | Yuxuan Wang, Shuailin Chen, Ruixiang Zhang, Fang Xu, Pingping Huang, Wen Yang |
| 2024 | IGARSS | Decoupled Multi-Teacher: Cross-Modal Learning Enhanced Object Detection in SAR Imagery. | Ruixiang Zhang, Yuxuan Wang, Haoyuan Li, Pingping Huang, Wen Yang |
| 2024 | IGARSS | AODet: Anti-Occlusion for Enhanced Small Object Detection in Drone-Based RGBT Imagery. | Ziming Gui, Yan Zhang, Xu Lei, Ruixiang Zhang, Wen Yang |
| 2023 | ICLR | Analog Bits: Generating Discrete Data using Diffusion Models with Self-Conditioning. | Ting Chen, Ruixiang Zhang, Geoffrey E. Hinton |
| 2023 | ICLR | Robust and Controllable Object-Centric Learning through Energy-based Models. | Ruixiang Zhang, Tong Che, Boris Ivanovic, Renhao Wang, Marco Pavone, Yoshua Bengio, Liam Paull |
| 2022 | ICLR | Learning Representation from Neural Fisher Kernel with Low-rank Approximation. | Ruixiang Zhang, Shuangfei Zhai, Etai Littwin, Joshua M. Susskind |
| 2021 | AAAI | Deep Verifier Networks: Verification of Deep Discriminative Models with Deep Generative Models. | Tong Che, Xiaofeng Liu, Site Li, Yubin Ge, Ruixiang Zhang, Caiming Xiong, Yoshua Bengio |
| 2021 | ICCV | 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 |
| 2020 | ICML | Learning Structured Latent Factors from Dependent Data:A Generative Model Framework from Information-Theoretic Perspective. | Ruixiang Zhang, Masanori Koyama, Katsuhiko Ishiguro |
| 2020 | ICML | Perceptual Generative Autoencoders. | Zijun Zhang, Ruixiang Zhang, Zongpeng Li, Yoshua Bengio, Liam Paull |
| 2020 | IGARSS | Edge-Driven Object Matching for UAV Images and Satellite SAR Images. | Ruixiang Zhang, Fang Xu, Huai Yu, Wen Yang, Heng-Chao Li |
| 2020 | ICPR | Tiny Object Detection in Aerial Images. | Jinwang Wang, Wen Yang, Haowen Guo, Ruixiang Zhang, Gui-Song Xia |
| 2019 | ICLR | Perceptual Generative Autoencoders. | Zijun Zhang, Ruixiang Zhang, Zongpeng Li, Yoshua Bengio, Liam Paull |
| 2019 | IGARSS | Mental Retrieval of Large-Scale Satellite Images Via Learned Sketch-Image Deep Features. | Fang Xu, Ruixiang Zhang, Wen Yang, Gui-Song Xia |