| 2026 | AAAI | Exploring Non-Convex Discrete Energy Landscapes: An Efficient Langevin-Like Sampler with Replica Exchange. | Haoyang Zheng, Hengrong Du, Ruqi Zhang, Guang Lin |
| 2025 | AAAI | Adaptive Draft-Verification for Efficient Large Language Model Decoding. | Xukun Liu, Bowen Lei, Ruqi Zhang, Dongkuan Xu |
| 2025 | AAAI | Scalable and Efficient Probabilistic Inference for Bayesian Deep Learning and Generative Modeling. | Ruqi Zhang |
| 2025 | ACL | CoT-UQ: Improving Response-wise Uncertainty Quantification in LLMs with Chain-of-Thought. | Boxuan Zhang, Ruqi Zhang |
| 2025 | AISTATS | Optimal Stochastic Trace Estimation in Generative Modeling. | Xinyang Liu, Hengrong Du, Wei Deng, Ruqi Zhang |
| 2025 | EMNLP | Reward-Shifted Speculative Sampling Is An Efficient Test-Time Weak-to-Strong Aligner. | Bolian Li, Yanran Wu, Xinyu Luo, Ruqi Zhang |
| 2025 | ICLR | ETA: Evaluating Then Aligning Safety of Vision Language Models at Inference Time. | Yi Ding, Bolian Li, Ruqi Zhang |
| 2025 | ICLR | Controlled LLM Decoding via Discrete Auto-regressive Biasing. | Patrick Pynadath, Ruqi Zhang |
| 2025 | ICML | Stacey: Promoting Stochastic Steepest Descent via Accelerated ℓp-Smooth Nonconvex Optimization. | Xinyu Luo, Site Bai, Bolian Li, Petros Drineas, Ruqi Zhang, Brian Bullins |
| 2025 | IROS | On Learning Closed-Loop Probabilistic Multi-Agent Simulator. | Juanwu Lu, Rohit Gupta, Ahmadreza Moradipari, Kyungtae Han, Ruqi Zhang, Ziran Wang |
| 2025 | IROS | Dynamic Obstacle Avoidance through Uncertainty-Based Adaptive Planning with Diffusion. | Vineet Punyamoorty, Pascal Jutras-Dub, Ruqi Zhang, Vaneet Aggarwal, Damon Conover, Aniket Bera |
| 2024 | ICLR | Training Bayesian Neural Networks with Sparse Subspace Variational Inference. | Junbo Li, Zichen Miao, Qiang Qiu, Ruqi Zhang |
| 2024 | ICLR | Entropy-MCMC: Sampling from Flat Basins with Ease. | Bolian Li, Ruqi Zhang |
| 2024 | ICML | Position: Bayesian Deep Learning is Needed in the Age of Large-Scale AI. | Theodore Papamarkou, Maria Skoularidou, Konstantina Palla, Laurence Aitchison, Julyan Arbel, David B. Dunson, Maurizio Filippone, Vincent Fortuin, Philipp Hennig, Jos Miguel Hernndez-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 Rgamer, Yee Whye Teh, Max Welling, Andrew Gordon Wilson, Ruqi Zhang |
| 2024 | IROS | Adaptive Planning with Generative Models under Uncertainty. | Pascal Jutras-Dub, Ruqi Zhang, Aniket Bera |
| 2023 | AIES | Analysis of Climate Campaigns on Social Media using Bayesian Model Averaging. | Tunazzina Islam, Ruqi Zhang, Dan Goldwasser |
| 2023 | AISTATS | Efficient Informed Proposals for Discrete Distributions via Newton's Series Approximation. | Yue Xiang, Dongyao Zhu, Bowen Lei, Dongkuan Xu, Ruqi Zhang |
| 2023 | ICCV | Rethinking Data Distillation: Do Not Overlook Calibration. | Dongyao Zhu, Yanbo Fang, Bowen Lei, Yiqun Xie, Dongkuan Xu, Jie Zhang, Ruqi Zhang |
| 2023 | ICLR | Calibrating the Rigged Lottery: Making All Tickets Reliable. | Bowen Lei, Ruqi Zhang, Dongkuan Xu, Bani K. Mallick |
| 2023 | ICML | DP-Fast MH: Private, Fast, and Accurate Metropolis-Hastings for Large-Scale Bayesian Inference. | Wanrong Zhang, Ruqi Zhang |
| 2022 | ICML | A Langevin-like Sampler for Discrete Distributions. | Ruqi Zhang, Xingchao Liu, Qiang Liu |
| 2022 | ICML | Low-Precision Stochastic Gradient Langevin Dynamics. | Ruqi Zhang, Andrew Gordon Wilson, Christopher De Sa |
| 2021 | AISTATS | Meta-Learning Divergences for Variational Inference. | Ruqi Zhang, Yingzhen Li, Christopher De Sa, Sam Devlin, Cheng Zhang |
| 2020 | AISTATS | AMAGOLD: Amortized Metropolis Adjustment for Efficient Stochastic Gradient MCMC. | Ruqi Zhang, A. Feder Cooper, Christopher De Sa |
| 2020 | ICLR | Cyclical Stochastic Gradient MCMC for Bayesian Deep Learning. | Ruqi Zhang, Chunyuan Li, Jianyi Zhang, Changyou Chen, Andrew Gordon Wilson |
| 2016 | IJCAI | Large Scale Sparse Clustering. | Ruqi Zhang, Zhiwu Lu |
| 2015 | ICONIP | Denoising Cluster Analysis. | Ruqi Zhang, Zhirong Yang, Jukka Corander |