| 2026 | GECCO | A Clustering Aided Multi-Operator Differential Evolution via Cluster-Level Adaptation. | Qi Lei, Zhihao Mao, Bangpu Chen, Zhuoming Yuan, Lei Peng |
| 2025 | AISTATS | Data Reconstruction Attacks and Defenses: A Systematic Evaluation. | Sheng Liu, Zihan Wang, Yuxiao Chen, Qi Lei |
| 2025 | AISTATS | Elastic Representation: Mitigating Spurious Correlations for Group Robustness. | Tao Wen, Zihan Wang, Quan Zhang, Qi Lei |
| 2025 | AISTATS | Bridging Domains with Approximately Shared Features. | Ziliang Samuel Zhong, Xiang Pan, Qi Lei |
| 2025 | CVPR | Mono3DVLT: Monocular-Video-Based 3D Visual Language Tracking. | Hongkai Wei, Yang Yang, Shijie Sun, Mingtao Feng, Xiangyu Song, Qi Lei, Hongli Hu, Rong Wang, Huansheng Song, Naveed Akhtar, Ajmal Saeed Mian |
| 2025 | EMNLP | Think Twice, Generate Once: Safeguarding by Progressive Self-Reflection. | Hoang Phan, Victor Li, Qi Lei |
| 2025 | ICCV | Beyond Losses Reweighting: Empowering Multi-Task Learning via the Generalization Perspective. | Hoang Phan, Lam Tran, Quyen Tran, Ngoc N. Tran, Tuan Truong, Qi Lei, Nhat Ho, Dinh Q. Phung, Trung Le |
| 2025 | ICLR | Beyond Interpretability: The Gains of Feature Monosemanticity on Model Robustness. | Qi Zhang, Yifei Wang, Jingyi Cui, Xiang Pan, Qi Lei, Stefanie Jegelka, Yisen Wang |
| 2025 | ICML | Discrepancies are Virtue: Weak-to-Strong Generalization through Lens of Intrinsic Dimension. | Yijun Dong, Yicheng Li, Yunai Li, Jason D. Lee, Qi Lei |
| 2025 | UAI | Beyond Invisibility: Learning Robust Visible Watermarks for Stronger Copyright Protection. | Tianci Liu, Tong Yang, Quan Zhang, Qi Lei |
| 2024 | ICML | An Information-Theoretic Analysis of In-Context Learning. | Hong Jun Jeon, Jason D. Lee, Qi Lei, Benjamin Van Roy |
| 2024 | ICML | Controllable Prompt Tuning For Balancing Group Distributional Robustness. | Hoang Phan, Andrew Gordon Wilson, Qi Lei |
| 2023 | AISTATS | Provable Hierarchy-Based Meta-Reinforcement Learning. | Kurtland Chua, Qi Lei, Jason D. Lee |
| 2023 | AISTATS | Reconstructing Training Data from Model Gradient, Provably. | Zihan Wang, Jason Lee, Qi Lei |
| 2023 | AISTATS | Sample Efficiency of Data Augmentation Consistency Regularization. | Shuo Yang, Yijun Dong, Rachel A. Ward, Inderjit S. Dhillon, Sujay Sanghavi, Qi Lei |
| 2023 | AISTATS | Optimal Sample Complexity Bounds for Non-convex Optimization under Kurdyka-Lojasiewicz Condition. | Qian Yu, Yining Wang, Baihe Huang, Qi Lei, Jason D. Lee |
| 2023 | EMNLP | Breaking through Deterministic Barriers: Randomized Pruning Mask Generation and Selection. | Jianwei Li, Weizhi Gao, Qi Lei, Dongkuan Xu |
| 2023 | EMNLP | Towards Robust Pruning: An Adaptive Knowledge-Retention Pruning Strategy for Language Models. | Jianwei Li, Qi Lei, Wei Cheng, Dongkuan Xu |
| 2023 | ICML | Optimization for Amortized Inverse Problems. | Tianci Liu, Tong Yang, Quan Zhang, Qi Lei |
| 2022 | ICICS | Autoencoder Assist: An Efficient Profiling Attack on High-Dimensional Datasets. | Qi Lei, Zijia Yang, Qin Wang, Yaoling Ding, Zhe Ma, An Wang |
| 2022 | IJCAI | CAT: Customized Adversarial Training for Improved Robustness. | Minhao Cheng, Qi Lei, Pin-Yu Chen, Inderjit S. Dhillon, Cho-Jui Hsieh |
| 2022 | MICCAI | Efficient Medical Image Assessment via Self-supervised Learning. | Chun-Yin Huang, Qi Lei, Xiaoxiao Li |
| 2021 | AISTATS | Last iterate convergence in no-regret learning: constrained min-max optimization for convex-concave landscapes. | Qi Lei, Sai Ganesh Nagarajan, Ioannis Panageas, Xiao Wang |
| 2021 | ICLR | Few-Shot Learning via Learning the Representation, Provably. | Simon Shaolei Du, Wei Hu, Sham M. Kakade, Jason D. Lee, Qi Lei |
| 2021 | ICML | A Theory of Label Propagation for Subpopulation Shift. | Tianle Cai, Ruiqi Gao, Jason D. Lee, Qi Lei |
| 2021 | ICML | Near-Optimal Linear Regression under Distribution Shift. | Qi Lei, Wei Hu, Jason D. Lee |
| 2021 | ICML | Solving Inverse Problems with a Flow-based Noise Model. | Jay Whang, Qi Lei, Alex Dimakis |
| 2020 | AISTATS | Communication-Efficient Asynchronous Stochastic Frank-Wolfe over Nuclear-norm Balls. | Jiacheng Zhuo, Qi Lei, Alex Dimakis, Constantine Caramanis |
| 2020 | ICML | SGD Learns One-Layer Networks in WGANs. | Qi Lei, Jason D. Lee, Alex Dimakis, Constantinos Daskalakis |
| 2020 | TrustCom | VGG-based side channel attack on RSA implementation. | Qi Lei, Chao Li, Kexin Qiao, Zhe Ma, Bo Yang |
| 2019 | IJCAI | Similarity Preserving Representation Learning for Time Series Clustering. | Qi Lei, Jinfeng Yi, Roman Vaculn, Lingfei Wu, Inderjit S. Dhillon |
| 2019 | SDM | Fast Unsupervised Location Category Inference from Highly Inaccurate Mobility Data. | Jinfeng Yi, Qi Lei, Wesley M. Gifford, Ji Liu, Junchi Yan, Bowen Zhou |
| 2018 | AISTATS | Random Warping Series: A Random Features Method for Time-Series Embedding. | Lingfei Wu, Ian En-Hsu Yen, Jinfeng Yi, Fangli Xu, Qi Lei, Michael Witbrock |
| 2018 | ICML | Stabilizing Gradients for Deep Neural Networks via Efficient SVD Parameterization. | Jiong Zhang, Qi Lei, Inderjit S. Dhillon |
| 2017 | ICML | Doubly Greedy Primal-Dual Coordinate Descent for Sparse Empirical Risk Minimization. | Qi Lei, Ian En-Hsu Yen, Chao-Yuan Wu, Inderjit S. Dhillon, Pradeep Ravikumar |
| 2017 | ICML | Gradient Coding: Avoiding Stragglers in Distributed Learning. | Rashish Tandon, Qi Lei, Alexandros G. Dimakis, Nikos Karampatziakis |