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Liang, Yuchen

  1. Can a Fruit Fly Learn Word Embeddings?
    2021/01/18 by Yuchen Liang, Chaitanya K. Ryali, Liang, Yuchen +11 · 3 voices · 2 citations
    Agricultural and Biological Sciences · Biochemistry, Genetics and Molecular Biology · Computer Science · Mathematics · Neuroscience · #Advanced Text Analysis Techniques #Computation and Language (cs.CL) #FOS: Biological sciences #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Neural and Evolutionary Computing (cs.NE) #Neurobiology and Insect Physiology Research #Neurons and Cognition (q-bio.NC) #Plant and animal studies #cs.CL #cs.LG #cs.NE #q-bio.NC #stat.ML
  2. YouTube-VOS: A Large-Scale Video Object Segmentation Benchmark
    2018/09/06 by Ning Xu, Linjie Yang, Xu, Ning +10 · 47 citations
    Computer Science · #Visual Attention and Saliency Detection #Advanced Image and Video Retrieval Techniques #Video Analysis and Summarization
  3. YouTube-VOS: Sequence-to-Sequence Video Object Segmentation
    2018/09/03 by Ning Xu, Xu, Ning, Linjie Yang +14 · 20 citations
    Computer Science · #Advanced Image and Video Retrieval Techniques #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Video Surveillance and Tracking Methods #Visual Attention and Saliency Detection
  4. U-REPA: Aligning Diffusion U-Nets to ViTs
    2025/03/24 by Tian, Yuchuan, Chen, Hanting, Zheng, Mengyu +3 · 6 citations
    #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences
  5. DiC: Rethinking Conv3x3 Designs in Diffusion Models
    2024/12/31 by Tian, Yuchuan, Jing Han, Chengcheng Wang +8 · 3 citations
    Engineering · #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Machine Learning (cs.LG) #VLSI and FPGA Design Techniques
  6. Absorb and Converge: Provable Convergence Guarantee for Absorbing Discrete Diffusion Models
    2025/06/02 by Yuchen Liang, Liang, Yuchen, Huang, Renxiang +6 · 6 citations
    Computer Science · Engineering · #Advanced Mathematical Modeling in Engineering #Advanced Numerical Methods in Computational Mathematics #FOS: Computer and information sciences #FOS: Electrical engineering #FOS: Mathematics #Machine Learning (cs.LG) #Signal Processing (eess.SP) #Statistics Theory (math.ST) #electronic engineering #information engineering
  7. Non-Parametric Quickest Mean Change Detection
    2021/08/25 by Liang, Yuchen, Veeravalli, Venugopal V. · 1 citation
    #FOS: Electrical engineering #FOS: Mathematics #Signal Processing (eess.SP) #Statistics Theory (math.ST) #electronic engineering #information engineering
  8. Quickest Change Detection with Non-Stationary Post-Change Observations
    2021/10/04 by Liang, Yuchen, Tartakovsky, Alexander G., Veeravalli, Venugopal V. · 1 citation
    #Applications (stat.AP) #FOS: Computer and information sciences #FOS: Electrical engineering #FOS: Mathematics #Signal Processing (eess.SP) #Statistics Theory (math.ST) #electronic engineering #information engineering
  9. From Next-Token to Next-Block: A Principled Adaptation Path for Diffusion LLMs
    2025/12/07 by Tian, Yuchuan, Liang, Yuchen, Sun, Jiacheng +11 · 3 citations
    Computer Science · Medicine · #Artificial Intelligence (cs.AI) #Artificial Intelligence in Healthcare and Education #Computation and Language (cs.CL) #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Topic Modeling
  10. Broadening Target Distributions for Accelerated Diffusion Models via a Novel Analysis Approach
    2024/02/21 by Liang, Yuchen, Ju, Peizhong, Liang, Yingbin +1 · 1 citation
    #FOS: Computer and information sciences #FOS: Electrical engineering #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Signal Processing (eess.SP) #electronic engineering #information engineering
  11. Theory on Score-Mismatched Diffusion Models and Zero-Shot Conditional Samplers
    2024/10/17 by Yuchen Liang, Liang, Yuchen, Peizhong Ju +5 · 2 citations
    Mathematics · #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Statistical Methods and Inference