| 2025 | AISTATS | Q-function Decomposition with Intervention Semantics for Factored Action Spaces. | Junkyu Lee, Tian Gao, Elliot Nelson, Miao Liu, Debarun Bhattacharjya, Songtao Lu |
| 2025 | ICASSP | Epigraph Based Multilevel Optimization (EMO) for Enhancing Chain-of-Thought Reasoning Capabilities. | Songtao Lu, Yanna Ding, Lior Horesh, Jianxi Gao, Malik Magdon-Ismail |
| 2025 | ICLR | Training Nonlinear Transformers for Chain-of-Thought Inference: A Theoretical Generalization Analysis. | Hongkang Li, Songtao Lu, Pin-Yu Chen, Xiaodong Cui, Meng Wang |
| 2025 | ICLR | DUET: Decentralized Bilevel Optimization without Lower-Level Strong Convexity. | Zhen Qin, Zhuqing Liu, Songtao Lu, Yingbin Liang, Jia Liu |
| 2025 | ICML | TSP: A Two-Sided Smoothed Primal-Dual Method for Nonconvex Bilevel Optimization. | Songtao Lu |
| 2024 | CCS | Byzantine-Robust Decentralized Federated Learning. | Minghong Fang, Zifan Zhang, Hairi, Prashant Khanduri, Jia Liu, Songtao Lu, Yuchen Liu, Neil Gong |
| 2024 | ICASSP | Variance Reduction Can Improve Trade-Off in Multi-Objective Learning. | Heshan Devaka Fernando, Lisha Chen, Songtao Lu, Pin-Yu Chen, Miao Liu, Subhajit Chaudhury, Keerthiram Murugesan, Gaowen Liu, Meng Wang, Tianyi Chen |
| 2024 | ICASSP | Signal Transformer: Complex-Valued Attention and Meta-Learning for Signal Recognition. | Ying Peng, Yihong Dong, Muqiao Yang, Songtao Lu, Qingjiang Shi |
| 2024 | ICASSP | Joint Unsupervised and Supervised Training for Automatic Speech Recognition via Bilevel Optimization. | A F M Saif, Xiaodong Cui, Han Shen, Songtao Lu, Brian Kingsbury, Tianyi Chen |
| 2024 | ICASSP | How Can Personalized Context Help? Exploring Joint Retrieval of Passage and Personalized Context. | Hui Wan, Hongkang Li, Songtao Lu, Xiaodong Cui, Marina Danilevsky |
| 2024 | ICLR | PILOT: An $\mathcal{O}(1/K)$-Convergent Approach for Policy Evaluation with Nonlinear Function Approximation. | Zhuqing Liu, Xin Zhang, Jia Liu, Zhengyuan Zhu, Songtao Lu |
| 2024 | ICML | SF-DQN: Provable Knowledge Transfer using Successor Feature for Deep Reinforcement Learning. | Shuai Zhang, Heshan Devaka Fernando, Miao Liu, Keerthiram Murugesan, Songtao Lu, Pin-Yu Chen, Tianyi Chen, Meng Wang |
| 2024 | ICML | Distributed Bilevel Optimization with Communication Compression. | Yutong He, Jie Hu, Xinmeng Huang, Songtao Lu, Bin Wang, Kun Yuan |
| 2024 | ICML | How Do Nonlinear Transformers Learn and Generalize in In-Context Learning? | Hongkang Li, Meng Wang, Songtao Lu, Xiaodong Cui, Pin-Yu Chen |
| 2024 | ICML | FADAS: Towards Federated Adaptive Asynchronous Optimization. | Yujia Wang, Shiqiang Wang, Songtao Lu, Jinghui Chen |
| 2024 | ICML | Federated Neuro-Symbolic Learning. | Pengwei Xing, Songtao Lu, Han Yu |
| 2024 | Interspeech | M2ASR: Multilingual Multi-task Automatic Speech Recognition via Multi-objective Optimization. | A F M Saif, Lisha Chen, Xiaodong Cui, Songtao Lu, Brian Kingsbury, Tianyi Chen |
| 2023 | AISTATS | Distributed Offline Policy Optimization Over Batch Data. | Han Shen, Songtao Lu, Xiaodong Cui, Tianyi Chen |
| 2023 | ICASSP | Meta-Dag: Meta Causal Discovery Via Bilevel Optimization. | Songtao Lu, Tian Gao |
| 2023 | ICLR | Joint Edge-Model Sparse Learning is Provably Efficient for Graph Neural Networks. | Shuai Zhang, Meng Wang, Pin-Yu Chen, Sijia Liu, Songtao Lu, Miao Liu |
| 2023 | ICLR | Min-Max Multi-objective Bilevel Optimization with Applications in Robust Machine Learning. | Alex Gu, Songtao Lu, Parikshit Ram, Tsui-Wei Weng |
| 2023 | ICML | Prometheus: Taming Sample and Communication Complexities in Constrained Decentralized Stochastic Bilevel Learning. | Zhuqing Liu, Xin Zhang, Prashant Khanduri, Songtao Lu, Jia Liu |
| 2023 | ICML | Bilevel Optimization with Coupled Decision-Dependent Distributions. | Songtao Lu |
| 2023 | ICML | Compressed Decentralized Proximal Stochastic Gradient Method for Nonconvex Composite Problems with Heterogeneous Data. | Yonggui Yan, Jie Chen, Pin-Yu Chen, Xiaodong Cui, Songtao Lu, Yangyang Xu |
| 2023 | MOBIHOC | PRECISION: Decentralized Constrained Min-Max Learning with Low Communication and Sample Complexities. | Zhuqing Liu, Xin Zhang, Songtao Lu, Jia Liu |
| 2022 | AAAI | Adversarial Examples Can Be Effective Data Augmentation for Unsupervised Machine Learning. | Chia-Yi Hsu, Pin-Yu Chen, Songtao Lu, Sijia Liu, Chia-Mu Yu |
| 2022 | AAAI | Zeroth-Order Optimization for Composite Problems with Functional Constraints. | Zichong Li, Pin-Yu Chen, Sijia Liu, Songtao Lu, Yangyang Xu |
| 2022 | ICASSP | Decentralized Bilevel Optimization for Personalized Client Learning. | Songtao Lu, Xiaodong Cui, Mark S. Squillante, Brian Kingsbury, Lior Horesh |
| 2022 | ICLR | Finite-Time Convergence and Sample Complexity of Multi-Agent Actor-Critic Reinforcement Learning with Average Reward. | Hairi, Jia Liu, Songtao Lu |
| 2022 | ICLR | Understanding Latent Correlation-Based Multiview Learning and Self-Supervision: An Identifiability Perspective. | Qi Lyu, Xiao Fu, Weiran Wang, Songtao Lu |
| 2022 | ICML | A Single-Loop Gradient Descent and Perturbed Ascent Algorithm for Nonconvex Functional Constrained Optimization. | Songtao Lu |
| 2022 | IJCAI | Learning to Generate Image Source-Agnostic Universal Adversarial Perturbations. | Pu Zhao, Parikshit Ram, Songtao Lu, Yuguang Yao, Djallel Bouneffouf, Xue Lin, Sijia Liu |
| 2022 | MOBIHOC | INTERACT: achieving low sample and communication complexities in decentralized bilevel learning over networks. | Zhuqing Liu, Xin Zhang, Prashant Khanduri, Songtao Lu, Jia Liu |
| 2022 | UAI | Distributed adversarial training to robustify deep neural networks at scale. | Gaoyuan Zhang, Songtao Lu, Yihua Zhang, Xiangyi Chen, Pin-Yu Chen, Quanfu Fan, Lee Martie, Lior Horesh, Mingyi Hong, Sijia Liu |
| 2021 | AAAI | Decentralized Policy Gradient Descent Ascent for Safe Multi-Agent Reinforcement Learning. | Songtao Lu, Kaiqing Zhang, Tianyi Chen, Tamer Basar, Lior Horesh |
| 2021 | AISTATS | Rate-improved inexact augmented Lagrangian method for constrained nonconvex optimization. | Zichong Li, Pin-Yu Chen, Sijia Liu, Songtao Lu, Yangyang Xu |
| 2021 | ICASSP | Federated Acoustic Modeling for Automatic Speech Recognition. | Xiaodong Cui, Songtao Lu, Brian Kingsbury |
| 2021 | ICASSP | On the Convergence of Randomized Bregman Coordinate Descent for Non-Lipschitz Composite Problems. | Tianxiang Gao, Songtao Lu, Jia Liu, Chris Chu |
| 2021 | ICASSP | Training Logical Neural Networks by Primal-Dual Methods for Neuro-Symbolic Reasoning. | Songtao Lu, Naweed Khan, Ismail Yunus Akhalwaya, Ryan Riegel, Lior Horesh, Alexander G. Gray |
| 2020 | CISS | Decentralized Federated Learning for Electronic Health Records. | Songtao Lu, Yawen Zhang, Yunlong Wang |
| 2020 | ICASSP | Decentralized Stochastic Non-Convex Optimization over Weakly Connected Time-Varying Digraphs. | Songtao Lu, Chai Wah Wu |
| 2020 | ICASSP | No-Regret Non-Convex Online Meta-Learning. | Zhenxun Zhuang, Yunlong Wang, Kezi Yu, Songtao Lu |
| 2020 | ICML | Min-Max Optimization without Gradients: Convergence and Applications to Black-Box Evasion and Poisoning Attacks. | Sijia Liu, Songtao Lu, Xiangyi Chen, Yao Feng, Kaidi Xu, Abdullah Al-Dujaili, Mingyi Hong, Una-May O'Reilly |
| 2020 | ICML | Improving the Sample and Communication Complexity for Decentralized Non-Convex Optimization: Joint Gradient Estimation and Tracking. | Haoran Sun, Songtao Lu, Mingyi Hong |
| 2019 | ACSSC | Alternating Gradient Descent Ascent for Nonconvex Min-Max Problems in Robust Learning and GANs. | Songtao Lu, Rahul Singh, Xiangyi Chen, Yongxin Chen, Mingyi Hong |
| 2019 | ICASSP | Fast and Global Optimal Nonconvex Matrix Factorization via Perturbed Alternating Proximal Point. | Songtao Lu, Mingyi Hong, Zhengdao Wang |
| 2019 | ICASSP | Block Alternating Optimization for Non-convex Min-max Problems: Algorithms and Applications in Signal Processing and Communications. | Songtao Lu, Ioannis C. Tsaknakis, Mingyi Hong |
| 2019 | ICASSP | Perturbed Projected Gradient Descent Converges to Approximate Second-order Points for Bound Constrained Nonconvex Problems. | Songtao Lu, Ziping Zhao, Kejun Huang, Mingyi Hong |
| 2019 | ICML | PA-GD: On the Convergence of Perturbed Alternating Gradient Descent to Second-Order Stationary Points for Structured Nonconvex Optimization. | Songtao Lu, Mingyi Hong, Zhengdao Wang |
| 2018 | ACSSC | Distributed optimization for Generalized Phase Retrieval Over Networks. | Ziping Zhao, Songtao Lu, Mingyi Hong, Daniel P. Palomar |
| 2018 | IECON | Power Market Price Forecasting via Deep Learning. | Yongli Zhu, Renchang Dai, Guangyi Liu, Zhiwei Wang, Songtao Lu |
| 2017 | AISTATS | A Stochastic Nonconvex Splitting Method for Symmetric Nonnegative Matrix Factorization. | Songtao Lu, Mingyi Hong, Zhengdao Wang |
| 2017 | ICASSP | A nonconvex splitting method for symmetric nonnegative matrix factorization: Convergence analysis and optimality. | Songtao Lu, Mingyi Hong, Zhengdao Wang |
| 2017 | ISADS | Overview of System Wide Information Management and Security Analysis. | Qi Ming, Songtao Lu |
| 2015 | ACSSC | Accelerated algorithms for Eigen-Value Decomposition with application to spectral clustering. | Songtao Lu, Zhengdao Wang |
| 2015 | ISADS | The Sender Controlled Security Model for Message Service. | Songtao Lu, Ming Qi |
| 2015 | WCNC | Joint optimization of power allocation and training duration for uplink multiuser MIMO communications. | Songtao Lu, Zhengdao Wang |
| 2015 | WCNC | Throughput maximization over frequency-selective communication networks. | Songtao Lu, Zhengdao Wang |
| 2014 | GLOBECOM | Achievable rates of uplink multiuser massive MIMO systems with estimated channels. | Songtao Lu, Zhengdao Wang |
| 2012 | ACSSC | A distributed adaptive GSC beamformer over coordinated antenna arrays network for interference mitigation. | Songtao Lu, Desheng Liu, Jinping Sun |
| 2012 | VTC | An Optimized Cooperative Transmission Scheme for Interference Mitigation in Heterogeneous Downlink Network. | Kai Huang, Songtao Lu, Jingbo Guo |
| 2010 | VTC | Beamforming for Per-Antenna Power Constrained Downlink SINR Optimization. | Tai Liu, Songtao Lu, Meng Zheng |
| 2010 | VTC | A Wideband Space Time Statistical Model for Characterization of Satellite Communication Channel in Dense Multipath Environment. | Songtao Lu, Tai Liu, Meng Zheng |