PPaperPicks

Ruqi Zhang

18 papers at tracked venues · 13 at CORE A* · active 2024–2026

Venues

Frequent coauthors

Bolian Li
×4
Patrick Pynadath
×3
Hengrong Du
×2
Pascal Jutras-Dubé
×2
Aniket Bera
×2
Yi Ding
×2
Xinyu Luo
×2
Haoyang Zheng
×1
Guang Lin
×1
Xukun Liu
×1
Bowen Lei
×1
Dongkuan Xu
×1

Papers

  1. Exploring Non-Convex Discrete Energy Landscapes: An Efficient Langevin-Like Sampler with Replica Exchange
    AAAI 2026 ·
    Haoyang Zheng
    ,
    Hengrong Du
    , Ruqi Zhang,
    Guang Lin
  2. Adaptive Draft-Verification for Efficient Large Language Model Decoding
    AAAI 2025 ·
    Xukun Liu
    ,
    Bowen Lei
    , Ruqi Zhang,
    Dongkuan Xu
  3. CoT-UQ: Improving Response-wise Uncertainty Quantification in LLMs with Chain-of-Thought
    ACL 2025 ·
    Boxuan Zhang
    , Ruqi Zhang
  4. Controlled LLM Decoding via Discrete Auto-regressive Biasing
    ICLR 2025 ·
    Patrick Pynadath
    , Ruqi Zhang
  5. Dynamic Obstacle Avoidance through Uncertainty-Based Adaptive Planning with Diffusion
    IROS 2025 ·
    Vineet Punyamoorty
    ,
    Pascal Jutras-Dubé
    , Ruqi Zhang,
    Vaneet Aggarwal
    ,
    Damon Conover
    ,
    Aniket Bera
  6. ETA: Evaluating Then Aligning Safety of Vision Language Models at Inference Time
    ICLR 2025 ·
    Yi Ding
    ,
    Bolian Li
    , Ruqi Zhang
  7. On Learning Closed-Loop Probabilistic Multi-Agent Simulator
    IROS 2025 ·
    Juanwu Lu
    ,
    Rohit Gupta
    ,
    Ahmadreza Moradipari
    ,
    Kyungtae Han
    , Ruqi Zhang,
    Ziran Wang
  8. Optimal Stochastic Trace Estimation in Generative Modeling
    AISTATS 2025 ·
    Xinyang Liu
    ,
    Hengrong Du
    ,
    Wei Deng
    , Ruqi Zhang
  9. Reward-Shifted Speculative Sampling Is An Efficient Test-Time Weak-to-Strong Aligner
    EMNLP 2025 ·
    Bolian Li
    ,
    Yanran Wu
    ,
    Xinyu Luo
    , Ruqi Zhang
  10. Scalable and Efficient Probabilistic Inference for Bayesian Deep Learning and Generative Modeling
    AAAI 2025 · Ruqi Zhang
  11. Sherlock: Self-Correcting Reasoning in Vision-Language Models
    NeurIPS 2025 ·
    Yi Ding
    , Ruqi Zhang
  12. Stacey: Promoting Stochastic Steepest Descent via Accelerated ℓp-Smooth Nonconvex Optimization
    ICML 2025 ·
    Xinyu Luo
    ,
    Site Bai
    ,
    Bolian Li
    ,
    Petros Drineas
    , Ruqi Zhang,
    Brian Bullins
  13. VERA: Variational Inference Framework for Jailbreaking Large Language Models
    NeurIPS 2025 ·
    Anamika Lochab
    ,
    Lu Yan
    ,
    Patrick Pynadath
    ,
    Xiangyu Zhang
    , Ruqi Zhang
  14. Adaptive Planning with Generative Models under Uncertainty
    IROS 2024 ·
    Pascal Jutras-Dubé
    , Ruqi Zhang,
    Aniket Bera
  15. Entropy-MCMC: Sampling from Flat Basins with Ease
    ICLR 2024 ·
    Bolian Li
    , Ruqi Zhang
  16. Gradient-based Discrete Sampling with Automatic Cyclical Scheduling
    NeurIPS 2024 ·
    Patrick Pynadath
    ,
    Riddhiman Bhattacharya
    ,
    Arun Hariharan
    , Ruqi Zhang
  17. Position: Bayesian Deep Learning is Needed in the Age of Large-Scale AI
    ICML 2024 ·
    Theodore Papamarkou
    ,
    Maria Skoularidou
    ,
    Konstantina Palla
    ,
    Laurence Aitchison
    ,
    Julyan Arbel
    ,
    David B. Dunson
    ,
    Maurizio Filippone
    ,
    Vincent Fortuin
    ,
    Philipp Hennig
    ,
    José Miguel Hernández-Lobato
    ,
    Aliaksandr Hubin
    ,
    Alexander Immer
    ,
    Theofanis Karaletsos
    ,
    Mohammad Emtiyaz Khan
    ,
    Agustinus Kristiadi
    ,
    Yingzhen Li
    ,
    Stephan Mandt
    ,
    Christopher Nemeth
    ,
    Michael A. Osborne
    ,
    Tim G. J. Rudner
    ,
    David Rügamer
    ,
    Yee Whye Teh
    ,
    Max Welling
    ,
    Andrew Gordon Wilson
    , Ruqi Zhang
  18. Training Bayesian Neural Networks with Sparse Subspace Variational Inference
    ICLR 2024 ·
    Junbo Li
    ,
    Zichen Miao
    ,
    Qiang Qiu
    , Ruqi Zhang