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Zhang, Ruqi

  1. Cyclical Stochastic Gradient MCMC for Bayesian Deep Learning
    2019/02/11 by Ruqi Zhang, Zhang, Ruqi, Chunyuan Li +7 · 17 citations
    Computer Science · Mathematics · #Artificial Intelligence (cs.AI) #Computer Vision and Pattern Recognition (cs.CV) #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and Algorithms #Markov Chains and Monte Carlo Methods #Methodology (stat.ME)
  2. Cascade Reward Sampling for Efficient Decoding-Time Alignment
    2024/06/24 by Bolian Li, Yifan Wang, Li, Bolian +7 · 1 voice · 10 citations
    Computer Science · Mathematics · #Advanced Data Compression Techniques #Anomaly Detection Techniques and Applications #Blind Source Separation Techniques #Computation and Language (cs.CL) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #cs.CL #cs.LG #stat.ML
  3. Position: Bayesian Deep Learning is Needed in the Age of Large-Scale AI
    2024/02/01 by Theodore Papamarkou, Maria Skoularidou, Papamarkou, Theodore +48 · 1 voice · 15 citations
    Computer Science · #Anomaly Detection Techniques and Applications #Machine Learning and Data Classification #cs.LG #stat.ML
  4. ETA: Evaluating Then Aligning Safety of Vision Language Models at Inference Time
    2024/10/09 by Yijie Ding, Ding, Yi, Bolian Li +3 · 24 citations
    Computer Science · #Multimodal Machine Learning Applications #Natural Language Processing Techniques #Topic Modeling
  5. A Langevin-like Sampler for Discrete Distributions
    2022/06/20 by Ruqi Zhang, Xingchao Liu, Zhang, Ruqi +3 · 1 voice · 5 citations
    #cs.LG #stat.ML
  6. Sampling in Constrained Domains with Orthogonal-Space Variational Gradient Descent
    2022/10/12 by Zhang, Ruqi, Liu, Qiang, Tong, Xin T. · 2 citations
    #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
  7. Rethinking Data Distillation: Do Not Overlook Calibration
    2023/07/24 by Dongyao Zhu, Zhu, Dongyao, Bowen Lei +11 · 2 citations
    Computer Science · #Adversarial Robustness in Machine Learning #Anomaly Detection Techniques and Applications #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning and Data Classification
  8. LLM4AD: Large Language Models for Autonomous Driving -- Concept, Review, Benchmark, Experiments, and Future Trends
    2024/10/20 by Cui, Can, Ma, Yunsheng, Park, Sung-Yeon +13 · 3 citations
    #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #FOS: Computer and information sciences #Human-Computer Interaction (cs.HC) #Robotics (cs.RO)
  9. CoT-UQ: Improving Response-wise Uncertainty Quantification in LLMs with Chain-of-Thought
    2025/02/24 by Zhang, Boxuan, Zhang, Ruqi · 4 citations
    #Computation and Language (cs.CL) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
  10. Sherlock: Self-Correcting Reasoning in Vision-Language Models
    2025/05/28 by Yijie Ding, Ding, Yi, Zhang, Ruqi · 4 citations
    Computer Science · #Computation and Language (cs.CL) #Computer Vision and Pattern Recognition (cs.CV) #Domain Adaptation and Few-Shot Learning #Explainable Artificial Intelligence (XAI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Multimodal Machine Learning Applications
  11. Reheated Gradient-based Discrete Sampling for Combinatorial Optimization
    2025/03/06 by Muheng Li, Li, Muheng, Ruqi Zhang +1 · 3 citations
    Computer Science · #Advanced Multi-Objective Optimization Algorithms #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Metaheuristic Optimization Algorithms Research #Optimization and Control (math.OC) #Stochastic Gradient Optimization Techniques
  12. Low-Precision Stochastic Gradient Langevin Dynamics
    2022/06/20 by Zhang, Ruqi, Wilson, Andrew Gordon, De Sa, Christopher · 1 citation
    #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
  13. CANDI: Hybrid Discrete-Continuous Diffusion Models
    2025/10/26 by Pynadath, Patrick, Shi, Jiaxin, Zhang, Ruqi · 5 citations
    #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
  14. ViLaD: A Large Vision Language Diffusion Framework for End-to-End Autonomous Driving
    2025/08/18 by Can Cui, Yupeng Zhou, Cui, Can +15 · 5 citations
    Computer Science · #Advanced Image and Video Retrieval Techniques #Advanced Neural Network Applications #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Robotic Path Planning Algorithms
  15. Embracing Unknown Step by Step: Towards Reliable Sparse Training in Real World
    2024/03/29 by Bowen Lei, Lei, Bowen, Dongkuan Xu +5 · 1 citation
    Computer Science · #Augmented Reality Applications #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Machine Learning (cs.LG)
  16. Bayesian Computation in Deep Learning
    2025/02/25 by Chen, Wenlong, Li, Bolian, Zhang, Ruqi +1 · 1 citation
    #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
  17. Gradient GA: Gradient Genetic Algorithm for Drug Molecular Design
    2025/02/14 by Zhuang, Chris, Mukherjee, Debadyuti, Lu, Yingzhou +2 · 2 citations
    #Biomolecules (q-bio.BM) #Computational Engineering #FOS: Biological sciences #FOS: Computer and information sciences #Finance #Machine Learning (cs.LG) #Machine Learning (stat.ML) #and Science (cs.CE)
  18. More is Less: The Pitfalls of Multi-Model Synthetic Preference Data in DPO Safety Alignment
    2025/04/03 by Yifan Wang, Wang, Yifan, Runjin Chen +17 · 2 citations
    Computer Science · Decision Sciences · Engineering · #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Risk and Safety Analysis #Safety Systems Engineering in Autonomy #Software Reliability and Analysis Research