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Ruixiang Zhang

MetaGAN: an adversarial approach to few-shot learning
2018 · Ruixiang Zhang, Tong Che, et al. · Rare & Special e-Zone (The Hong Kong University of Science and Technology) · 311
Understanding Hidden Memories of Recurrent Neural Networks
2017 · Yao Ming, Shaozu Cao, et al. · IEEE Conference on Visual Analytics Science and Technology (VAST) · 214
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Maximum-Likelihood Augmented Discrete Generative Adversarial Networks
2017 · Che, Tong, Li, Yanran, et al. · arXiv (Cornell University) · 168
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Analog Bits: Generating Discrete Data using Diffusion Models with Self-Conditioning
2022 · Chen, Ting, Zhang, Ruixiang, et al. · arXiv (Cornell University) · 97
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An adversarial approach to few-shot learning
2018 · Ruixiang Zhang · 70
An Attention Free Transformer
2021 · Zhai, Shuangfei, Talbott, Walter, et al. · arXiv (Cornell University) · 57
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Deep Verifier Networks: Verification of Deep Discriminative Models with Deep Generative Models
2021 · Tong Che, Xiaofeng Liu, et al. · Proceedings of the AAAI Conference on Artificial Intelligence · 53
Your GAN is Secretly an Energy-based Model and You Should use Discriminator Driven Latent Sampling
2020 · Che, Tong, Zhang, Ruixiang, et al. · arXiv (Cornell University) · 49
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Perceptual Generative Autoencoders
2019 · Zhang, Zijun, Zhang, Ruixiang, et al. · arXiv (Cornell University) · 16
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Hierarchical Prediction and Adversarial Learning For Conditional Response Generation
2020 · Yanran Li, Ruixiang Zhang, et al. · IEEE Transactions on Knowledge and Data Engineering · 12
Normalizing Flows are Capable Generative Models
2024 · Zhai, Shuangfei, Zhang, Ruixiang, et al. · arXiv (Cornell University) · 5
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How Far Are We from Intelligent Visual Deductive Reasoning?
2024 · Zhang, Yizhe, Bai, He, et al. · arXiv (Cornell University) · 3
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STARFlow: Scaling Latent Normalizing Flows for High-resolution Image Synthesis
2025 · Jiatao Gu, Tianrong Chen, et al. · neural information processing systems · 2
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dMel: Speech Tokenization made Simple
2024 · Bai, Richard He, Likhomanenko, Tatiana, et al. · arXiv (Cornell University) · 2
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Learning Representation from Neural Fisher Kernel with Low-rank Approximation
2022 · Zhang, Ruixiang, Zhai, Shuangfei, et al. · arXiv (Cornell University) · 2
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Learning Structured Latent Factors from Dependent Data:A Generative Model Framework from Information-Theoretic Perspective
2020 · Zhang, Ruixiang, Koyama, Masanori, et al. · arXiv (Cornell University) · 2
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Decoding Looped Transformers Better for (Almost) Free
2026 · Liu, Weihao, Zheng, Huangjie, et al. · arXiv (Cornell University)
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Primal Generation, Dual Judgment: Self-Training from Test-Time Scaling
2026 · Jiao, Yizhu, Zhang, Ruixiang, et al. · arXiv (Cornell University)
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Embarrassingly Simple Self-Distillation Improves Code Generation
2026 · Zhang, Ruixiang, Bai, Richard He, et al. · arXiv (Cornell University)
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ChipChat: Low-Latency Cascaded Conversational Agent in MLX
2025 · Tatiana Likhomanenko, Luke Carlson, et al. · IEEE Automatic Speech Recognition and Understanding Workshop (ASRU)
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Continuously Augmented Discrete Diffusion model for Categorical Generative Modeling
2025 · Zheng, Huangjie, Gong, Shansan, et al. · arXiv (Cornell University)
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DiffuCoder: Understanding and Improving Masked Diffusion Models for Code Generation
2025 · Gong, Shansan, Zhang, Ruixiang, et al. · arXiv (Cornell University)
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Target Concrete Score Matching: A Holistic Framework for Discrete Diffusion
2025 · Zhang, Ruixiang, Zhai, Shuangfei, et al. · arXiv (Cornell University)
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What Makes the Preferred Thinking Direction for LLMs in Multiple-choice Questions?
2025 · Zhang, Yizhe, Bai, Richard, et al. · arXiv (Cornell University)
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Composition and Control with Distilled Energy Diffusion Models and Sequential Monte Carlo
2025 · Thornton, James, Bethune, Louis, et al. · arXiv (Cornell University)
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Works count: 34
Citation count: 1,063
H-index: 10
I10-index: 10
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