| 2026 | SIGCOMM | Toward WAN-Aware LLM Training Across Heterogeneous, Geo-Distributed Sites. | Ziyue Luo, Jiaxuan Cai, Cedric Le Denmat, Srijith Nair, Fatemeh Nourzad, Rohith Krishnan Sudha, Qinhang Wu, Jifan Zhang, Sungjae Lee, Zhe Li, Peiwen Qiu, Siddharth Shah, Rishabh Sharma, Yinglun Xia, Xue Zheng, Zidong Liu, Bicheng Ying, Kaushik R. Chowdhury, Gauri Joshi, Yingbin Liang, Robert D. Nowak, Srinivasan Parthasarathy, Saurav Prakash, Balaraman Ravindran, Sanjay Shakkottai, Ness B. Shroff, Sundararajan Srinivasan, Haibo Yang, Aylin Yener, Jia Liu |
| 2026 | WiOpt | Monitoring State Transitions in Markovian Systems with Sampling Cost. | Kumar Saurav, Ness B. Shroff, Yingbin Liang |
| 2025 | ICLR | Theory on Mixture-of-Experts in Continual Learning. | Hongbo Li, Sen Lin, Lingjie Duan, Yingbin Liang, Ness B. Shroff |
| 2025 | ICLR | A Theoretical Analysis of Self-Supervised Learning for Vision Transformers. | Yu Huang, Zixin Wen, Yuejie Chi, Yingbin Liang |
| 2025 | ICLR | Broadening Target Distributions for Accelerated Diffusion Models via a Novel Analysis Approach. | Yuchen Liang, Peizhong Ju, Yingbin Liang, Ness B. Shroff |
| 2025 | ICLR | Theory on Score-Mismatched Diffusion Models and Zero-Shot Conditional Samplers. | Yuchen Liang, Peizhong Ju, Yingbin Liang, Ness B. Shroff |
| 2025 | ICLR | DUET: Decentralized Bilevel Optimization without Lower-Level Strong Convexity. | Zhen Qin, Zhuqing Liu, Songtao Lu, Yingbin Liang, Jia Liu |
| 2025 | ICLR | Dynamic Loss-Based Sample Reweighting for Improved Large Language Model Pretraining. | Daouda Sow, Herbert Woisetschlger, Saikiran Bulusu, Shiqiang Wang, Hans-Arno Jacobsen, Yingbin Liang |
| 2025 | ICLR | Transformers Provably Learn Two-Mixture of Linear Classification via Gradient Flow. | Hongru Yang, Zhangyang Wang, Jason D. Lee, Yingbin Liang |
| 2025 | ICML | Unlocking the Power of Rehearsal in Continual Learning: A Theoretical Perspective. | Junze Deng, Qinhang Wu, Peizhong Ju, Sen Lin, Yingbin Liang, Ness B. Shroff |
| 2025 | ICML | How Transformers Learn Regular Language Recognition: A Theoretical Study on Training Dynamics and Implicit Bias. | Ruiquan Huang, Yingbin Liang, Jing Yang |
| 2024 | AISTATS | Sample Complexity Characterization for Linear Contextual MDPs. | Junze Deng, Yuan Cheng, Shaofeng Zou, Yingbin Liang |
| 2024 | ICLR | On the Hardness of Online Nonconvex Optimization with Single Oracle Feedback. | Ziwei Guan, Yi Zhou, Yingbin Liang |
| 2024 | ICLR | Provable Benefits of Multi-task RL under Non-Markovian Decision Making Processes. | Ruiquan Huang, Yuan Cheng, Jing Yang, Vincent Tan, Yingbin Liang |
| 2024 | ICLR | Provably Efficient UCB-type Algorithms For Learning Predictive State Representations. | Ruiquan Huang, Yingbin Liang, Jing Yang |
| 2024 | ICLR | Doubly Robust Instance-Reweighted Adversarial Training. | Daouda Sow, Sen Lin, Zhangyang Wang, Yingbin Liang |
| 2024 | ICML | Improving Sample Efficiency of Model-Free Algorithms for Zero-Sum Markov Games. | Songtao Feng, Ming Yin, Yu-Xiang Wang, Jing Yang, Yingbin Liang |
| 2024 | ICML | In-context Convergence of Transformers. | Yu Huang, Yuan Cheng, Yingbin Liang |
| 2024 | ISIT | Towards General Function Approximation in Nonstationary Reinforcement Learning. | Songtao Feng, Ming Yin, Ruiquan Huang, Yu-Xiang Wang, Jing Yang, Yingbin Liang |
| 2024 | MOBIHOC | Can We Theoretically Quantify the Impacts of Local Updates on the Generalization Performance of Federated Learning? | Peizhong Ju, Haibo Yang, Jia Liu, Yingbin Liang, Ness B. Shroff |
| 2023 | AAAI | Global Convergence of Two-Timescale Actor-Critic for Solving Linear Quadratic Regulator. | Xuyang Chen, Jingliang Duan, Yingbin Liang, Lin Zhao |
| 2023 | AISTATS | Learning to Generalize Provably in Learning to Optimize. | Junjie Yang, Tianlong Chen, Mingkang Zhu, Fengxiang He, Dacheng Tao, Yingbin Liang, Zhangyang Wang |
| 2023 | COLT | Online Nonconvex Optimization with Limited Instantaneous Oracle Feedback. | Ziwei Guan, Yi Zhou, Yingbin Liang |
| 2023 | ICLR | Improved Sample Complexity for Reward-free Reinforcement Learning under Low-rank MDPs. | Yuan Cheng, Ruiquan Huang, Yingbin Liang, Jing Yang |
| 2023 | ICLR | Safe Exploration Incurs Nearly No Additional Sample Complexity for Reward-Free RL. | Ruiquan Huang, Jing Yang, Yingbin Liang |
| 2023 | ICLR | Theoretical Characterization of the Generalization Performance of Overfitted Meta-Learning. | Peizhong Ju, Yingbin Liang, Ness B. Shroff |
| 2023 | ICLR | Near-Optimal Adversarial Reinforcement Learning with Switching Costs. | Ming Shi, Yingbin Liang, Ness B. Shroff |
| 2023 | ICLR | M-L2O: Towards Generalizable Learning-to-Optimize by Test-Time Fast Self-Adaptation. | Junjie Yang, Xuxi Chen, Tianlong Chen, Zhangyang Wang, Yingbin Liang |
| 2023 | ICML | Generalized-Smooth Nonconvex Optimization is As Efficient As Smooth Nonconvex Optimization. | Ziyi Chen, Yi Zhou, Yingbin Liang, Zhaosong Lu |
| 2023 | ICML | Non-stationary Reinforcement Learning under General Function Approximation. | Songtao Feng, Ming Yin, Ruiquan Huang, Yu-Xiang Wang, Jing Yang, Yingbin Liang |
| 2023 | ICML | Theory on Forgetting and Generalization of Continual Learning. | Sen Lin, Peizhong Ju, Yingbin Liang, Ness B. Shroff |
| 2023 | ICML | A Near-Optimal Algorithm for Safe Reinforcement Learning Under Instantaneous Hard Constraints. | Ming Shi, Yingbin Liang, Ness B. Shroff |
| 2022 | ICLR | PER-ETD: A Polynomially Efficient Emphatic Temporal Difference Learning Method. | Ziwei Guan, Tengyu Xu, Yingbin Liang |
| 2022 | ICLR | Model-Based Offline Meta-Reinforcement Learning with Regularization. | Sen Lin, Jialin Wan, Tengyu Xu, Yingbin Liang, Junshan Zhang |
| 2022 | UAI | Data sampling affects the complexity of online SGD over dependent data. | Shaocong Ma, Ziyi Chen, Yi Zhou, Kaiyi Ji, Yingbin Liang |
| 2022 | UAI | Deterministic policy gradient: Convergence analysis. | Huaqing Xiong, Tengyu Xu, Lin Zhao, Yingbin Liang, Wei Zhang |
| 2021 | AAAI | Non-asymptotic Convergence of Adam-type Reinforcement Learning Algorithms under Markovian Sampling. | Huaqing Xiong, Tengyu Xu, Yingbin Liang, Wei Zhang |
| 2021 | AISTATS | When Will Generative Adversarial Imitation Learning Algorithms Attain Global Convergence. | Ziwei Guan, Tengyu Xu, Yingbin Liang |
| 2021 | AISTATS | Sample Complexity Bounds for Two Timescale Value-based Reinforcement Learning Algorithms. | Tengyu Xu, Yingbin Liang |
| 2021 | ICLR | Proximal Gradient Descent-Ascent: Variable Convergence under KŁ Geometry. | Ziyi Chen, Yi Zhou, Tengyu Xu, Yingbin Liang |
| 2021 | ICML | Bilevel Optimization: Convergence Analysis and Enhanced Design. | Kaiyi Ji, Junjie Yang, Yingbin Liang |
| 2021 | ICML | CRPO: A New Approach for Safe Reinforcement Learning with Convergence Guarantee. | Tengyu Xu, Yingbin Liang, Guanghui Lan |
| 2021 | ICML | Doubly Robust Off-Policy Actor-Critic: Convergence and Optimality. | Tengyu Xu, Zhuoran Yang, Zhaoran Wang, Yingbin Liang |
| 2021 | UAI | Finite-time theory for momentum Q-learning. | Bowen Weng, Huaqing Xiong, Lin Zhao, Yingbin Liang, Wei Zhang |
| 2020 | AAAI | Robust Stochastic Bandit Algorithms under Probabilistic Unbounded Adversarial Attack. | Ziwei Guan, Kaiyi Ji, Donald J. Bucci Jr., Timothy Y. Hu, Joseph Palombo, Michael Liston, Yingbin Liang |
| 2020 | ICLR | Reanalysis of Variance Reduced Temporal Difference Learning. | Tengyu Xu, Zhe Wang, Yi Zhou, Yingbin Liang |
| 2020 | ICML | History-Gradient Aided Batch Size Adaptation for Variance Reduced Algorithms. | Kaiyi Ji, Zhe Wang, Bowen Weng, Yi Zhou, Wei Zhang, Yingbin Liang |
| 2020 | IJCAI | Analysis of Q-learning with Adaptation and Momentum Restart for Gradient Descent. | Bowen Weng, Huaqing Xiong, Yingbin Liang, Wei Zhang |
| 2020 | IJCAI | Proximal Gradient Algorithm with Momentum and Flexible Parameter Restart for Nonconvex Optimization. | Yi Zhou, Zhe Wang, Kaiyi Ji, Yingbin Liang, Vahid Tarokh |
| 2020 | ISITA | On the Capacity of Gaussian Multiple-Access Wiretap Channels with Feedback. | Bin Dai, Chong Li, Yingbin Liang, Zheng Ma, Shlomo Shamai Shitz |
| 2020 | ITW | Feedback Capacity of Gaussian Multiple-Access Wiretap Channel with Degraded Message Sets. | Bin Dai, Chong Li, Yingbin Liang, Zheng Ma, Shlomo Shamai Shitz |
| 2019 | AISTATS | Stochastic Variance-Reduced Cubic Regularization for Nonconvex Optimization. | Zhe Wang, Yi Zhou, Yingbin Liang, Guanghui Lan |
| 2019 | ICLR | SGD Converges to Global Minimum in Deep Learning via Star-convex Path. | Yi Zhou, Junjie Yang, Huishuai Zhang, Yingbin Liang, Vahid Tarokh |
| 2019 | ICML | Improved Zeroth-Order Variance Reduced Algorithms and Analysis for Nonconvex Optimization. | Kaiyi Ji, Zhe Wang, Yi Zhou, Yingbin Liang |
| 2019 | ISIT | The Dirty Paper Wiretap Feedback Channel with or without Action on the State. | Bin Dai, Chong Li, Yingbin Liang, Zheng Ma, Shlomo Shamai Shitz |
| 2019 | ISIT | Local Geometry of Cross Entropy Loss in Learning One-Hidden-Layer Neural Networks. | Haoyu Fu, Yuejie Chi, Yingbin Liang |
| 2019 | UAI | Cubic Regularization with Momentum for Nonconvex Optimization. | Zhe Wang, Yi Zhou, Yingbin Liang, Guanghui Lan |
| 2018 | CISS | Clustering under composite generative models. | Tiexing Wang, Donald J. Bucci, Yingbin Liang, Biao Chen, Pramod K. Varshney |
| 2018 | ICASSP | Data-Driven Nonparametric Hypothesis Testing. | Yixian Liu, Yingbin Liang, Shuguang Cui |
| 2018 | ICASSP | Exponentially Consistent K-Means Clustering Algorithm Based on Kolmogrov-Smirnov Test. | Tiexing Wang, Donald J. Bucci, Yingbin Liang, Biao Chen, Pramod K. Varshney |
| 2018 | ICLR | Critical Points of Linear Neural Networks: Analytical Forms and Landscape Properties. | Yi Zhou, Yingbin Liang |
| 2018 | ISIT | A Coding Scheme for Colored Gaussian Wiretap Channels with Feedback. | Chong Li, Yingbin Liang, H. Vincent Poor, Shlomo Shamai |
| 2017 | ICASSP | Demixing sparse signals via convex optimization. | Yi Zhou, Yingbin Liang |
| 2017 | ICML | Convergence Analysis of Proximal Gradient with Momentum for Nonconvex Optimization. | Qunwei Li, Yi Zhou, Yingbin Liang, Pramod K. Varshney |
| 2017 | ISIT | Outer bounds for Gaussian multiple access channels with state known at one encoder. | Wei Yang, Yingbin Liang, Shlomo Shamai Shitz, H. Vincent Poor |
| 2017 | ISIT | Secrecy capacity of the first-order autoregressive moving average Gaussian channel with feedback. | Chong Li, Yingbin Liang |
| 2017 | ISIT | State-dependent Z-interference channel with correlated states. | Yunhao Sun, Yingbin Liang, Ruchen Duan, Shlomo Shamai Shitz |
| 2016 | ACSSC | Nonparametric composite outlier detection. | Weiguang Wang, Yingbin Liang, H. Vincent Poor |
| 2016 | AISTATS | On Convergence of Model Parallel Proximal Gradient Algorithm for Stale Synchronous Parallel System. | Yi Zhou, Yaoliang Yu, Wei Dai, Yingbin Liang, Eric P. Xing |
| 2016 | ICASSP | Universal outlying sequence detection for continuous observations. | Yuheng Bu, Shaofeng Zou, Yingbin Liang, Venugopal V. Veeravalli |
| 2016 | ICASSP | Nonparametric detection of an anomalous disk over a two-dimensional lattice network. | Shaofeng Zou, Yingbin Liang, H. Vincent Poor |
| 2016 | ICML | Provable Non-convex Phase Retrieval with Outliers: Median TruncatedWirtinger Flow. | Huishuai Zhang, Yuejie Chi, Yingbin Liang |
| 2016 | ISIT | On the sum-rate capacity of non-symmetric Poisson multiple access channel. | Ain Ul Aisha, Yingbin Liang, Lifeng Lai, Shlomo Shamai |
| 2016 | ISIT | Estimation of KL divergence between large-alphabet distributions. | Yuheng Bu, Shaofeng Zou, Yingbin Liang, Venugopal V. Veeravalli |
| 2016 | ISIT | Helper-assisted state cancelation for multiple access channels. | Yunhao Sun, Ruchen Duan, Yingbin Liang, Ashish Khisti, Shlomo Shamai |
| 2016 | ITW | K-user degraded broadcast channel with secrecy outside a bounded range. | Shaofeng Zou, Yingbin Liang, Lifeng Lai, H. Vincent Poor, Shlomo Shamai |
| 2015 | ISIT | State-dependent Gaussian Z-interference channel: Capacity results. | Ruchen Duan, Yingbin Liang, Shlomo Shamai |
| 2015 | ISIT | Secret key capacity: Talk or keep silent? | Huishuai Zhang, Yingbin Liang, Lifeng Lai |
| 2015 | ISIT | Two-key generation for a cellular model with a helper. | Huishuai Zhang, Yingbin Liang, Lifeng Lai, Shlomo Shamai |
| 2015 | ISIT | Rate splitting and sharing for degraded broadcast channel with secrecy outside a bounded range. | Shaofeng Zou, Yingbin Liang, Lifeng Lai, Shlomo Shamai |
| 2015 | ITW | Degraded broadcast channel: Secrecy outside of a bounded range. | Shaofeng Zou, Yingbin Liang, Lifeng Lai, Shlomo Shamai |
| 2014 | ACSSC | Helper-assisted asymmetric two key generation. | Huishuai Zhang, Yingbin Liang, Lifeng Lai |
| 2014 | CISS | On fading poisson channels with varying noise levels. | Ain Ul Aisha, Lifeng Lai, Yingbin Liang |
| 2014 | ISIT | State-dependent parallel Gaussian channels with a common helper in high power regime. | Ruchen Duan, Yingbin Liang, Ashish Khisti, Shlomo Shamai |
| 2014 | ISIT | Secret key-private key generation over three terminals: Capacity region. | Huishuai Zhang, Lifeng Lai, Yingbin Liang, Hua Wang |
| 2014 | ISIT | Layered secure broadcasting over MIMO channels and application in secret sharing. | Shaofeng Zou, Yingbin Liang, Lifeng Lai, Shlomo Shamai |
| 2014 | ISITA | Dirty interference cancelation for multiple access channels. | Ruchen Duan, Yingbin Liang, Ashish Khisti, Shlomo Shamai |
| 2014 | ITW | Dirty interference cancellation for Gaussian broadcast channels. | Ruchen Duan, Yingbin Liang, Ashish Khisti, Shlomo Shamai |
| 2014 | ITW | Key capacity region for a cellular source model. | Huishuai Zhang, Yingbin Liang, Lifeng Lai |
| 2013 | AISTATS | Block Regularized Lasso for Multivariate Multi-Response Linear Regression. | Weiguang Wang, Yingbin Liang, Eric P. Xing |
| 2013 | ISIT | On the capacity region of Gaussian interference channels with state. | Ruchen Duan, Yingbin Liang, Shlomo Shamai |
| 2013 | ISIT | Multiple access channel with state uncertainty at transmitters. | Shaofeng Zou, Yingbin Liang, Shlomo Shamai |
| 2013 | ITW | State-dependent Gaussian Z-channel with mismatched side-information and interference. | Ruchen Duan, Yingbin Liang, Ashish Khisti, Shlomo Shamai (Shitz) |
| 2012 | ISIT | Gaussian cognitive interference channels with state. | Ruchen Duan, Yingbin Liang |
| 2012 | ISIT | Nonparametric decentralized detection based on weighted count kernel. | Jiayao Hu, Yingbin Liang, Eric P. Xing |
| 2012 | ISIT | Broadcasting over fading wiretap channels. | Yingbin Liang, Lifeng Lai, H. Vincent Poor, Shlomo Shamai (Shitz) |
| 2011 | ISIT | Secret sharing via noisy broadcast channels. | Lifeng Lai, Yingbin Liang, Wenliang Du, Shlomo Shamai |
| 2010 | ISIT | On the capacity region of the Poisson interference channels. | Lifeng Lai, Yingbin Liang, Shlomo Shamai |
| 2009 | ISIT | On the compound MIMO broadcast channels with confidential messages. | Mari Kobayashi, Yingbin Liang, Shlomo Shamai, Mrouane Debbah |
| 2009 | ISIT | Secrecy throughput of MANETs with malicious nodes. | Yingbin Liang, H. Vincent Poor, Lei Ying |
| 2008 | ACSSC | Session MA3a: Relaying and cooperation I. | Yingbin Liang |
| 2008 | ISIT | Optimality of beamforming in MIMO multi-access channels via virtual representation. | Hong Wan, Rong-Rong Chen, Yingbin Liang |
| 2008 | ITW | Capacity outer bounds for broadcast channels. | Yingbin Liang, Gerhard Kramer, Shlomo Shamai |
| 2008 | PIMRC | Recent results on compound wire-tap channels. | Yingbin Liang, Gerhard Kramer, H. Vincent Poor, Shlomo Shamai |
| 2008 | PIMRC | Nested codes for secure transmission. | Ruoheng Liu, H. Vincent Poor, Predrag Spasojevic, Yingbin Liang |
| 2007 | ISIT | Secrecy Capacity Region of Fading Broadcast Channels. | Yingbin Liang, H. Vincent Poor, Shlomo Shamai |
| 2007 | ISIT | Opportunistic Communications in an Orthogonal Multiaccess Relay Channel. | Lalitha Sankar, Yingbin Liang, H. Vincent Poor, Narayan B. Mandayam |
| 2007 | ITW | Secrecy Capacity of Semi-deterministic Wire-tap Channels. | Jared Grubb, Sriram Vishwanath, Yingbin Liang, H. Vincent Poor |
| 2006 | CISS | Capacity Theorems for Cooperative Relay Broadcast Channels. | Yingbin Liang, Gerhard Kramer |
| 2006 | ISIT | Generalized Multiple Access Channels with Confidential Messages. | Yingbin Liang, H. Vincent Poor |
| 2004 | ISIT | The impact of relaying on the capacity of broadcast channels. | Yingbin Liang, Venugopal V. Veeravalli |