Songtao Lu - RankMe

169 papers A* 35A 6B 5C 4Misc 20Journal 86Unranked 13

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	A Framework for Quantifying How Pre-Training and Context Benefit In-Context Learning. CoRR Bingqing Song, Jiaxiang Li, Rong Wang, Songtao Lu, Mingyi Hong
2025	J	`jnl`	Aligning Frozen LLMs by Reinforcement Learning: An Iterative Reweight-then-Optimize Approach. CoRR Xinnan Zhang, Chenliang Li, Siliang Zeng, Jiaxiang Li, Zhongruo Wang, Kaixiang Lin, Songtao Lu, Alfredo García, Mingyi Hong
2025	J	`jnl`	Can Mamba Learn In Context with Outliers? A Theoretical Generalization Analysis. CoRR Hongkang Li, Songtao Lu, Xiaodong Cui, Pin-Yu Chen, Meng Wang
2025	—	`conf`	D-SOBA: A Single-Loop Decentralized Bilevel Algorithm with Transient Complexity Analysis. EUSIPCO Boao Kong, Shuchen Zhu, Songtao Lu, Xinmeng Huang, Kun Yuan
2025	A*	`conf`	DUET: Decentralized Bilevel Optimization without Lower-Level Strong Convexity. ICLR Zhen Qin, Zhuqing Liu, Songtao Lu, Yingbin Liang, Jia Liu
2025	J	`jnl`	Decentralized Bilevel Optimization: A Perspective from Transient Iteration Complexity. J. Mach. Learn. Res. Boao Kong, Shuchen Zhu, Songtao Lu, Xinmeng Huang, Kun Yuan
2025	Misc	`conf`	Epigraph Based Multilevel Optimization (EMO) for Enhancing Chain-of-Thought Reasoning Capabilities. ICASSP Songtao Lu, Yanna Ding, Lior Horesh, Jianxi Gao, Malik Magdon-Ismail
2025	J	`jnl`	Graph Neural Networks With Adaptive Structures. IEEE J. Sel. Top. Signal Process. Zepeng Zhang, Songtao Lu, Zengfeng Huang, Ziping Zhao
2025	J	`jnl`	Objective Soups: Multilingual Multi-Task Modeling for Speech Processing. CoRR A. F. M. Saif, Lisha Chen, Xiaodong Cui, Songtao Lu, Brian Kingsbury, Tianyi Chen
2025	J	`jnl`	Optimality and NP-Hardness of Transformers in Learning Markovian Dynamical Functions. CoRR Yanna Ding, Songtao Lu, Yingdong Lu, Tomasz Nowicki, Jianxi Gao
2025	A	`conf`	Q-function Decomposition with Intervention Semantics for Factored Action Spaces. AISTATS Junkyu Lee, Tian Gao, Elliot Nelson, Miao Liu, Debarun Bhattacharjya, Songtao Lu
2025	J	`jnl`	Q-function Decomposition with Intervention Semantics with Factored Action Spaces. CoRR Junkyu Lee, Tian Gao, Elliot Nelson, Miao Liu, Debarun Bhattacharjya, Songtao Lu
2025	A*	`conf`	TSP: A Two-Sided Smoothed Primal-Dual Method for Nonconvex Bilevel Optimization. ICML Songtao Lu
2025	A*	`conf`	Training Nonlinear Transformers for Chain-of-Thought Inference: A Theoretical Generalization Analysis. ICLR Hongkang Li, Songtao Lu, Pin-Yu Chen, Xiaodong Cui, Meng Wang
2024	J	`jnl`	BiG-Fed: Bilevel Optimization Enhanced Graph-Aided Federated Learning. IEEE Trans. Big Data Pengwei Xing, Songtao Lu, Lingfei Wu, Han Yu
2024	J	`jnl`	Bilevel Joint Unsupervised and Supervised Training for Automatic Speech Recognition. CoRR Xiaodong Cui, A. F. M. Saif, Songtao Lu, Lisha Chen, Tianyi Chen, Brian Kingsbury, George Saon
2024	A*	`conf`	Byzantine-Robust Decentralized Federated Learning. CCS Minghong Fang, Zifan Zhang, Hairi, Prashant Khanduri, Jia Liu, Songtao Lu, Yuchen Liu, Neil Gong
2024	J	`jnl`	Byzantine-Robust Decentralized Federated Learning. CoRR Minghong Fang, Zifan Zhang, Hairi, Prashant Khanduri, Jia Liu, Songtao Lu, Yuchen Liu, Neil Zhenqiang Gong
2024	J	`jnl`	Correction to: Stochastic inexact augmented Lagrangian method for nonconvex expectation constrained optimization. Comput. Optim. Appl. Zichong Li, Pin-Yu Chen, Sijia Liu, Songtao Lu, Yangyang Xu
2024	J	`jnl`	Decentralized Bilevel Optimization over Graphs: Loopless Algorithmic Update and Transient Iteration Complexity. CoRR Boao Kong, Shuchen Zhu, Songtao Lu, Xinmeng Huang, Kun Yuan
2024	A*	`conf`	Distributed Bilevel Optimization with Communication Compression. ICML Yutong He, Jie Hu, Xinmeng Huang, Songtao Lu, Bin Wang, Kun Yuan
2024	A*	`conf`	FADAS: Towards Federated Adaptive Asynchronous Optimization. ICML Yujia Wang, Shiqiang Wang, Songtao Lu, Jinghui Chen
2024	J	`jnl`	FADAS: Towards Federated Adaptive Asynchronous Optimization. CoRR Yujia Wang, Shiqiang Wang, Songtao Lu, Jinghui Chen
2024	A*	`conf`	Federated Neuro-Symbolic Learning. ICML Pengwei Xing, Songtao Lu, Han Yu
2024	Misc	`conf`	How Can Personalized Context Help? Exploring Joint Retrieval of Passage and Personalized Context. ICASSP Hui Wan, Hongkang Li, Songtao Lu, Xiaodong Cui, Marina Danilevsky
2024	A*	`conf`	How Do Nonlinear Transformers Learn and Generalize in In-Context Learning? ICML Hongkang Li, Meng Wang, Songtao Lu, Xiaodong Cui, Pin-Yu Chen
2024	Misc	`conf`	Joint Unsupervised and Supervised Training for Automatic Speech Recognition via Bilevel Optimization. ICASSP A. F. M. Saif, Xiaodong Cui, Han Shen, Songtao Lu, Brian Kingsbury, Tianyi Chen
2024	J	`jnl`	Joint Unsupervised and Supervised Training for Automatic Speech Recognition via Bilevel Optimization. CoRR A. F. M. Saif, Xiaodong Cui, Han Shen, Songtao Lu, Brian Kingsbury, Tianyi Chen
2024	A	`conf`	M2ASR: Multilingual Multi-task Automatic Speech Recognition via Multi-objective Optimization. INTERSPEECH A. F. M. Saif, Lisha Chen, Xiaodong Cui, Songtao Lu, Brian Kingsbury, Tianyi Chen
2024	A*	`conf`	PILOT: An $\mathcal{O}(1/K)$-Convergent Approach for Policy Evaluation with Nonlinear Function Approximation. ICLR Zhuqing Liu, Xin Zhang, Jia Liu, Zhengyuan Zhu, Songtao Lu
2024	A*	`conf`	SF-DQN: Provable Knowledge Transfer using Successor Feature for Deep Reinforcement Learning. ICML Shuai Zhang, Heshan Devaka Fernando, Miao Liu, Keerthiram Murugesan, Songtao Lu, Pin-Yu Chen, Tianyi Chen, Meng Wang
2024	J	`jnl`	SF-DQN: Provable Knowledge Transfer using Successor Feature for Deep Reinforcement Learning. CoRR Shuai Zhang, Heshan Devaka Fernando, Miao Liu, Keerthiram Murugesan, Songtao Lu, Pin-Yu Chen, Tianyi Chen, Meng Wang
2024	A*	`conf`	SPARKLE: A Unified Single-Loop Primal-Dual Framework for Decentralized Bilevel Optimization. NeurIPS Shuchen Zhu, Boao Kong, Songtao Lu, Xinmeng Huang, Kun Yuan
2024	J	`jnl`	SPARKLE: A Unified Single-Loop Primal-Dual Framework for Decentralized Bilevel Optimization. CoRR Shuchen Zhu, Boao Kong, Songtao Lu, Xinmeng Huang, Kun Yuan
2024	Misc	`conf`	Signal Transformer: Complex-Valued Attention and Meta-Learning for Signal Recognition. ICASSP Ying Peng, Yihong Dong, Muqiao Yang, Songtao Lu, Qingjiang Shi
2024	J	`jnl`	Stochastic inexact augmented Lagrangian method for nonconvex expectation constrained optimization. Comput. Optim. Appl. Zichong Li, Pin-Yu Chen, Sijia Liu, Songtao Lu, Yangyang Xu
2024	J	`jnl`	Training Nonlinear Transformers for Chain-of-Thought Inference: A Theoretical Generalization Analysis. CoRR Hongkang Li, Meng Wang, Songtao Lu, Xiaodong Cui, Pin-Yu Chen
2024	J	`jnl`	Training Nonlinear Transformers for Efficient In-Context Learning: A Theoretical Learning and Generalization Analysis. CoRR Hongkang Li, Meng Wang, Songtao Lu, Xiaodong Cui, Pin-Yu Chen
2024	Misc	`conf`	Variance Reduction Can Improve Trade-Off in Multi-Objective Learning. ICASSP Heshan Devaka Fernando, Lisha Chen, Songtao Lu, Pin-Yu Chen, Miao Liu, Subhajit Chaudhury, Keerthiram Murugesan, Gaowen Liu, Meng Wang, Tianyi Chen
2023	J	`jnl`	A Generalized Alternating Method for Bilevel Learning under the Polyak-Łojasiewicz Condition. CoRR Quan Xiao, Songtao Lu, Tianyi Chen
2023	A*	`conf`	An Alternating Optimization Method for Bilevel Problems under the Polyak-Łojasiewicz Condition. NeurIPS Quan Xiao, Songtao Lu, Tianyi Chen
2023	A*	`conf`	Bilevel Optimization with Coupled Decision-Dependent Distributions. ICML Songtao Lu
2023	A*	`conf`	Compressed Decentralized Proximal Stochastic Gradient Method for Nonconvex Composite Problems with Heterogeneous Data. ICML Yonggui Yan, Jie Chen, Pin-Yu Chen, Xiaodong Cui, Songtao Lu, Yangyang Xu
2023	A	`conf`	Distributed Offline Policy Optimization Over Batch Data. AISTATS Han Shen, Songtao Lu, Xiaodong Cui, Tianyi Chen
2023	J	`jnl`	FedLogic: Interpretable Federated Multi-Domain Chain-of-Thought Prompt Selection for Large Language Models. CoRR Pengwei Xing, Songtao Lu, Han Yu
2023	J	`jnl`	How Can Context Help? Exploring Joint Retrieval of Passage and Personalized Context. CoRR Hui Wan, Hongkang Li, Songtao Lu, Xiaodong Cui, Marina Danilevsky
2023	A*	`conf`	Joint Edge-Model Sparse Learning is Provably Efficient for Graph Neural Networks. ICLR Shuai Zhang, Meng Wang, Pin-Yu Chen, Sijia Liu, Songtao Lu, Miao Liu
2023	J	`jnl`	Joint Edge-Model Sparse Learning is Provably Efficient for Graph Neural Networks. CoRR Shuai Zhang, Meng Wang, Pin-Yu Chen, Sijia Liu, Songtao Lu, Miao Liu
2023	Misc	`conf`	Meta-Dag: Meta Causal Discovery Via Bilevel Optimization. ICASSP Songtao Lu, Tian Gao
2023	A*	`conf`	Min-Max Multi-objective Bilevel Optimization with Applications in Robust Machine Learning. ICLR Alex Gu, Songtao Lu, Parikshit Ram, Tsui-Wei Weng
2023	A*	`conf`	On the Convergence and Sample Complexity Analysis of Deep Q-Networks with ε-Greedy Exploration. NeurIPS Shuai Zhang, Hongkang Li, Meng Wang, Miao Liu, Pin-Yu Chen, Songtao Lu, Sijia Liu, Keerthiram Murugesan, Subhajit Chaudhury
2023	J	`jnl`	On the Convergence and Sample Complexity Analysis of Deep Q-Networks with ε-Greedy Exploration. CoRR Shuai Zhang, Hongkang Li, Meng Wang, Miao Liu, Pin-Yu Chen, Songtao Lu, Sijia Liu, Keerthiram Murugesan, Subhajit Chaudhury
2023	J	`jnl`	Ontology Revision based on Pre-trained Language Models. CoRR Qiu Ji, Guilin Qi, Yuxin Ye, Jiaye Li, Site Li, Jianjie Ren, Songtao Lu
2023	B	`conf`	PRECISION: Decentralized Constrained Min-Max Learning with Low Communication and Sample Complexities. MobiHoc Zhuqing Liu, Xin Zhang, Songtao Lu, Jia Liu
2023	J	`jnl`	PRECISION: Decentralized Constrained Min-Max Learning with Low Communication and Sample Complexities. CoRR Zhuqing Liu, Xin Zhang, Songtao Lu, Jia Liu
2023	A*	`conf`	Prometheus: Taming Sample and Communication Complexities in Constrained Decentralized Stochastic Bilevel Learning. ICML Zhuqing Liu, Xin Zhang, Prashant Khanduri, Songtao Lu, Jia Liu
2023	A*	`conf`	SLM: A Smoothed First-Order Lagrangian Method for Structured Constrained Nonconvex Optimization. NeurIPS Songtao Lu
2023	J	`jnl`	Soft Random Sampling: A Theoretical and Empirical Analysis. CoRR Xiaodong Cui, Ashish R. Mittal, Songtao Lu, Wei Zhang, George Saon, Brian Kingsbury
2023	J	`jnl`	Waveform Design and Optimization for Integrated Visible Light Positioning and Communication. IEEE Trans. Commun. Shuai Ma, Shiyu Cao, Hang Li, Songtao Lu, Tingting Yang, Youlong Wu, Naofal Al-Dhahir, Shiyin Li
2022	A*	`conf`	A Single-Loop Gradient Descent and Perturbed Ascent Algorithm for Nonconvex Functional Constrained Optimization. ICML Songtao Lu
2022	J	`jnl`	A Single-Loop Gradient Descent and Perturbed Ascent Algorithm for Nonconvex Functional Constrained Optimization. CoRR Songtao Lu
2022	A*	`conf`	A Stochastic Linearized Augmented Lagrangian Method for Decentralized Bilevel Optimization. NeurIPS Songtao Lu, Siliang Zeng, Xiaodong Cui, Mark S. Squillante, Lior Horesh, Brian Kingsbury, Jia Liu, Mingyi Hong
2022	J	`jnl`	ASGNN: Graph Neural Networks with Adaptive Structure. CoRR Zepeng Zhang, Songtao Lu, Zengfeng Huang, Ziping Zhao
2022	A*	`conf`	Adversarial Examples Can Be Effective Data Augmentation for Unsupervised Machine Learning. AAAI Chia-Yi Hsu, Pin-Yu Chen, Songtao Lu, Sijia Liu, Chia-Mu Yu
2022	J	`jnl`	An Efficient Learning Framework for Federated XGBoost Using Secret Sharing and Distributed Optimization. ACM Trans. Intell. Syst. Technol. Lunchen Xie, Jiaqi Liu, Songtao Lu, Tsung-Hui Chang, Qingjiang Shi
2022	Misc	`conf`	Decentralized Bilevel Optimization for Personalized Client Learning. ICASSP Songtao Lu, Xiaodong Cui, Mark S. Squillante, Brian Kingsbury, Lior Horesh
2022	J	`jnl`	Distributed Adversarial Training to Robustify Deep Neural Networks at Scale. CoRR Gaoyuan Zhang, Songtao Lu, Yihua Zhang, Xiangyi Chen, Pin-Yu Chen, Quanfu Fan, Lee Martie, Lior Horesh, Mingyi Hong, Sijia Liu
2022	A	`conf`	Distributed adversarial training to robustify deep neural networks at scale. UAI Gaoyuan Zhang, Songtao Lu, Yihua Zhang, Xiangyi Chen, Pin-Yu Chen, Quanfu Fan, Lee Martie, Lior Horesh, Mingyi Hong, Sijia Liu
2022	A*	`conf`	Finite-Time Convergence and Sample Complexity of Multi-Agent Actor-Critic Reinforcement Learning with Average Reward. ICLR Hairi, Jia Liu, Songtao Lu
2022	J	`jnl`	INTERACT: Achieving Low Sample and Communication Complexities in Decentralized Bilevel Learning over Networks. CoRR Zhuqing Liu, Xin Zhang, Prashant Khanduri, Songtao Lu, Jia Liu
2022	B	`conf`	INTERACT: achieving low sample and communication complexities in decentralized bilevel learning over networks. MobiHoc Zhuqing Liu, Xin Zhang, Prashant Khanduri, Songtao Lu, Jia Liu
2022	A*	`conf`	Learning to Generate Image Source-Agnostic Universal Adversarial Perturbations. IJCAI Pu Zhao, Parikshit Ram, Songtao Lu, Yuguang Yao, Djallel Bouneffouf, Xue Lin, Sijia Liu
2022	J	`jnl`	Min-Max Bilevel Multi-objective Optimization with Applications in Machine Learning. CoRR Alex Gu, Songtao Lu, Parikshit Ram, Lily Weng
2022	J	`jnl`	Optimal Discrete Constellation Inputs for Aggregated LiFi-WiFi Networks. IEEE Trans. Wirel. Commun. Shuai Ma, Fan Zhang, Songtao Lu, Hang Li, Ruixin Yang, Sihua Shao, Jiaheng Wang, Shiyin Li
2022	—	`conf`	Overcoming Catastrophic Forgetting via Direction-Constrained Optimization. ECML/PKDD (1) Yunfei Teng, Anna Choromanska, Murray Campbell, Songtao Lu, Parikshit Ram, Lior Horesh
2022	J	`jnl`	Stochastic Inexact Augmented Lagrangian Method for Nonconvex Expectation Constrained Optimization. CoRR Zichong Li, Pin-Yu Chen, Sijia Liu, Songtao Lu, Yangyang Xu
2022	A*	`conf`	Understanding Benign Overfitting in Gradient-Based Meta Learning. NeurIPS Lisha Chen, Songtao Lu, Tianyi Chen
2022	J	`jnl`	Understanding Benign Overfitting in Nested Meta Learning. CoRR Lisha Chen, Songtao Lu, Tianyi Chen
2022	A*	`conf`	Understanding Latent Correlation-Based Multiview Learning and Self-Supervision: An Identifiability Perspective. ICLR Qi Lyu, Xiao Fu, Weiran Wang, Songtao Lu
2022	A*	`conf`	Zeroth-Order Optimization for Composite Problems with Functional Constraints. AAAI Zichong Li, Pin-Yu Chen, Sijia Liu, Songtao Lu, Yangyang Xu
2021	J	`jnl`	Achieving Channel Capacity of Visible Light Communication. IEEE Syst. J. Shuai Ma, Ruixin Yang, Yang He, Songtao Lu, Fuhui Zhou, Naofal Al-Dhahir, Shiyin Li
2021	J	`jnl`	Adversarial Examples for Unsupervised Machine Learning Models. CoRR Chia-Yi Hsu, Pin-Yu Chen, Songtao Lu, Sijia Lu, Chia-Mu Yu
2021	J	`jnl`	An Efficient Learning Framework For Federated XGBoost Using Secret Sharing And Distributed Optimization. CoRR Lunchen Xie, Jiaqi Liu, Songtao Lu, Tsung-Hui Chang, Qingjiang Shi
2021	A*	`conf`	Decentralized Policy Gradient Descent Ascent for Safe Multi-Agent Reinforcement Learning. AAAI Songtao Lu, Kaiqing Zhang, Tianyi Chen, Tamer Basar, Lior Horesh
2021	J	`jnl`	Federated Acoustic Modeling For Automatic Speech Recognition. CoRR Xiaodong Cui, Songtao Lu, Brian Kingsbury
2021	Misc	`conf`	Federated Acoustic Modeling for Automatic Speech Recognition. ICASSP Xiaodong Cui, Songtao Lu, Brian Kingsbury
2021	J	`jnl`	Latent Correlation-Based Multiview Learning and Self-Supervision: A Unifying Perspective. CoRR Qi Lyu, Xiao Fu, Weiran Wang, Songtao Lu
2021	J	`jnl`	Linearized ADMM Converges to Second-Order Stationary Points for Non-Convex Problems. IEEE Trans. Signal Process. Songtao Lu, Jason D. Lee, Meisam Razaviyayn, Mingyi Hong
2021	Misc	`conf`	On the Convergence of Randomized Bregman Coordinate Descent for Non-Lipschitz Composite Problems. ICASSP Tianxiang Gao, Songtao Lu, Jia Liu, Chris Chu
2021	J	`jnl`	Optimal Discrete Constellation Inputs for Aggregated LiFi-WiFi Networks. CoRR Shuai Ma, Fan Zhang, Songtao Lu, Hang Li, Ruixin Yang, Sihua Shao, Jiaheng Wang, Shiyin Li
2021	A	`conf`	Rate-improved inexact augmented Lagrangian method for constrained nonconvex optimization. AISTATS Zichong Li, Pin-Yu Chen, Sijia Liu, Songtao Lu, Yangyang Xu
2021	J	`jnl`	Robust Beamforming Design for Covert Communications. CoRR Shuai Ma, Yunqi Zhang, Hang Li, Songtao Lu, Naofal Al-Dhahir, Sha Zhang, Shiyin Li
2021	J	`jnl`	Robust Beamforming Design for Covert Communications. IEEE Trans. Inf. Forensics Secur. Shuai Ma, Yunqi Zhang, Hang Li, Songtao Lu, Naofal Al-Dhahir, Sha Zhang, Shiyin Li
2021	J	`jnl`	ScaleCom: Scalable Sparsified Gradient Compression for Communication-Efficient Distributed Training. CoRR Chia-Yu Chen, Jiamin Ni, Songtao Lu, Xiaodong Cui, Pin-Yu Chen, Xiao Sun, Naigang Wang, Swagath Venkataramani, Vijayalakshmi Srinivasan, Wei Zhang, Kailash Gopalakrishnan
2021	J	`jnl`	Signal Transformer: Complex-valued Attention and Meta-Learning for Signal Recognition. CoRR Yihong Dong, Ying Peng, Muqiao Yang, Songtao Lu, Qingjiang Shi
2021	J	`jnl`	Spectrum Truncation Power Iteration for Agnostic Matrix Phase Retrieval. IEEE Trans. Signal Process. Lewis Liu, Songtao Lu, Tuo Zhao, Zhaoran Wang
2021	A*	`conf`	Taming Communication and Sample Complexities in Decentralized Policy Evaluation for Cooperative Multi-Agent Reinforcement Learning. NeurIPS Xin Zhang, Zhuqing Liu, Jia Liu, Zhengyuan Zhu, Songtao Lu
2021	Misc	`conf`	Training Logical Neural Networks by Primal-Dual Methods for Neuro-Symbolic Reasoning. ICASSP Songtao Lu, Naweed Khan, Ismail Yunus Akhalwaya, Ryan Riegel, Lior Horesh, Alexander G. Gray
2020	Misc	`conf`	Decentralized Federated Learning for Electronic Health Records. CISS Songtao Lu, Yawen Zhang, Yunlong Wang
2020	Misc	`conf`	Decentralized Stochastic Non-Convex Optimization over Weakly Connected Time-Varying Digraphs. ICASSP Songtao Lu, Chai Wah Wu
2020	A*	`conf`	Decentralized TD Tracking with Linear Function Approximation and its Finite-Time Analysis. NeurIPS Gang Wang, Songtao Lu, Georgios B. Giannakis, Gerald Tesauro, Jian Sun
2020	J	`jnl`	Distributed Learning in the Non-Convex World: From Batch to Streaming Data, and Beyond. CoRR Tsung-Hui Chang, Mingyi Hong, Hoi-To Wai, Xinwei Zhang, Songtao Lu
2020	J	`jnl`	Distributed Learning in the Nonconvex World: From batch data to streaming and beyond. IEEE Signal Process. Mag. Tsung-Hui Chang, Mingyi Hong, Hoi-To Wai, Xinwei Zhang, Songtao Lu
2020	A*	`conf`	Finding Second-Order Stationary Points Efficiently in Smooth Nonconvex Linearly Constrained Optimization Problems. NeurIPS Songtao Lu, Meisam Razaviyayn, Bo Yang, Kejun Huang, Mingyi Hong
2020	J	`jnl`	Hybrid Block Successive Approximation for One-Sided Non-Convex Min-Max Problems: Algorithms and Applications. IEEE Trans. Signal Process. Songtao Lu, Ioannis C. Tsaknakis, Mingyi Hong, Yongxin Chen
2020	A*	`conf`	Improving the Sample and Communication Complexity for Decentralized Non-Convex Optimization: Joint Gradient Estimation and Tracking. ICML Haoran Sun, Songtao Lu, Mingyi Hong
2020	J	`jnl`	Learned Fine-Tuner for Incongruous Few-Shot Learning. CoRR Pu Zhao, Sijia Liu, Parikshit Ram, Songtao Lu, Djallel Bouneffouf, Xue Lin
2020	A*	`conf`	Min-Max Optimization without Gradients: Convergence and Applications to Black-Box Evasion and Poisoning Attacks. ICML Sijia Liu, Songtao Lu, Xiangyi Chen, Yao Feng, Kaidi Xu, Abdullah Al-Dujaili, Mingyi Hong, Una-May O'Reilly
2020	Misc	`conf`	No-Regret Non-Convex Online Meta-Learning. ICASSP Zhenxun Zhuang, Yunlong Wang, Kezi Yu, Songtao Lu
2020	J	`jnl`	Non-convex Min-Max Optimization: Applications, Challenges, and Recent Theoretical Advances. CoRR Meisam Razaviyayn, Tianjian Huang, Songtao Lu, Maher Nouiehed, Maziar Sanjabi, Mingyi Hong
2020	J	`jnl`	Nonconvex Min-Max Optimization: Applications, Challenges, and Recent Theoretical Advances. IEEE Signal Process. Mag. Meisam Razaviyayn, Tianjian Huang, Songtao Lu, Maher Nouiehed, Maziar Sanjabi, Mingyi Hong
2020	J	`jnl`	Nonorthogonal Multiple Access for Visible Light Communication IoT Networks. Wirel. Commun. Mob. Comput. Chun Du, Shuai Ma, Yang He, Songtao Lu, Hang Li, Han Zhang, Shiyin Li
2020	J	`jnl`	Randomized Bregman Coordinate Descent Methods for Non-Lipschitz Optimization. CoRR Tianxiang Gao, Songtao Lu, Jia Liu, Chris Chu
2020	A*	`conf`	ScaleCom: Scalable Sparsified Gradient Compression for Communication-Efficient Distributed Training. NeurIPS Chia-Yu Chen, Jiamin Ni, Songtao Lu, Xiaodong Cui, Pin-Yu Chen, Xiao Sun, Naigang Wang, Swagath Venkataramani, Vijayalakshmi Srinivasan, Wei Zhang, Kailash Gopalakrishnan
2019	Misc	`conf`	Alternating Gradient Descent Ascent for Nonconvex Min-Max Problems in Robust Learning and GANs. ACSSC Songtao Lu, Rahul Singh, Xiangyi Chen, Yongxin Chen, Mingyi Hong
2019	Misc	`conf`	Block Alternating Optimization for Non-convex Min-max Problems: Algorithms and Applications in Signal Processing and Communications. ICASSP Songtao Lu, Ioannis C. Tsaknakis, Mingyi Hong
2019	J	`jnl`	Capacity Bounds and Interference Management for Interference Channel in Visible Light Communication Networks. IEEE Trans. Wirel. Commun. Shuai Ma, Hang Li, Yang He, Ruixin Yang, Songtao Lu, Wen Cao, Shiyin Li
2019	J	`jnl`	Deep Learning for Signal Demodulation in Physical Layer Wireless Communications: Prototype Platform, Open Dataset, and Analytics. IEEE Access Hongmei Wang, Zhenzhen Wu, Shuai Ma, Songtao Lu, Han Zhang, Guoru Ding, Shiyin Li
2019	J	`jnl`	Deep Learning for Signal Demodulation in Physical Layer Wireless Communications: Prototype Platform, Open Dataset, and Analytics. CoRR Hongmei Wang, Zhenzhen Wu, Shuai Ma, Songtao Lu, Han Zhang, Guoru Ding, Shiyin Li
2019	Misc	`conf`	Fast and Global Optimal Nonconvex Matrix Factorization via Perturbed Alternating Proximal Point. ICASSP Songtao Lu, Mingyi Hong, Zhengdao Wang
2019	—	`conf`	GNSD: a Gradient-Tracking Based Nonconvex Stochastic Algorithm for Decentralized Optimization. DSW Songtao Lu, Xinwei Zhang, Haoran Sun, Mingyi Hong
2019	J	`jnl`	Improving the Sample and Communication Complexity for Decentralized Non-Convex Optimization: A Joint Gradient Estimation and Tracking Approach. CoRR Haoran Sun, Songtao Lu, Mingyi Hong
2019	J	`jnl`	Learn Electronic Health Records by Fully Decentralized Federated Learning. CoRR Songtao Lu, Yawen Zhang, Yunlong Wang, Christina Mack
2019	J	`jnl`	Leveraging Two Reference Functions in Block Bregman Proximal Gradient Descent for Non-convex and Non-Lipschitz Problems. CoRR Tianxiang Gao, Songtao Lu, Jia Liu, Chris Chu
2019	J	`jnl`	Min-Max Optimization without Gradients: Convergence and Applications to Adversarial ML. CoRR Sijia Liu, Songtao Lu, Xiangyi Chen, Yao Feng, Kaidi Xu, Abdullah Al-Dujaili, Mingyi Hong, Una-May O'Reilly
2019	J	`jnl`	Online Meta-Learning on Non-convex Setting. CoRR Zhenxun Zhuang, Yunlong Wang, Kezi Yu, Songtao Lu
2019	J	`jnl`	Optimal Power Allocation for Mobile Users in Non-Orthogonal Multiple Access Visible Light Communication Networks. IEEE Trans. Commun. Shuai Ma, Yang He, Hang Li, Songtao Lu, Fan Zhang, Shiyin Li
2019	A*	`conf`	PA-GD: On the Convergence of Perturbed Alternating Gradient Descent to Second-Order Stationary Points for Structured Nonconvex Optimization. ICML Songtao Lu, Mingyi Hong, Zhengdao Wang
2019	Misc	`conf`	Perturbed Projected Gradient Descent Converges to Approximate Second-order Points for Bound Constrained Nonconvex Problems. ICASSP Songtao Lu, Ziping Zhao, Kejun Huang, Mingyi Hong
2019	J	`jnl`	SNAP: Finding Approximate Second-Order Stationary Solutions Efficiently for Non-convex Linearly Constrained Problems. CoRR Songtao Lu, Meisam Razaviyayn, Bo Yang, Kejun Huang, Mingyi Hong
2019	J	`jnl`	Signal Demodulation With Machine Learning Methods for Physical Layer Visible Light Communications: Prototype Platform, Open Dataset, and Algorithms. IEEE Access Shuai Ma, Jiahui Dai, Songtao Lu, Hang Li, Han Zhang, Chun Du, Shiyin Li
2019	J	`jnl`	Signal Demodulation with Machine Learning Methods for Physical Layer Visible Light Communications: Prototype Platform, Open Dataset and Algorithms. CoRR Shuai Ma, Jiahui Dai, Songtao Lu, Hang Li, Han Zhang, Chun Du, Shiyin Li
2019	J	`jnl`	Spatial Transmitter Density Allocation for Frequency-Selective Wireless Ad Hoc Networks. IEEE Trans. Wirel. Commun. Songtao Lu, Zhengdao Wang
2019	J	`jnl`	Training Optimization and Performance of Single Cell Uplink System With Massive-Antennas Base Station. IEEE Trans. Commun. Songtao Lu, Zhengdao Wang
2018	Misc	`conf`	Distributed optimization for Generalized Phase Retrieval Over Networks. ACSSC Ziping Zhao, Songtao Lu, Mingyi Hong, Daniel P. Palomar
2018	J	`jnl`	Exploiting the Persymmetric Property of Covariance Matrices for Knowledge-Aided Space-Time Adaptive Processing. IEEE Access Yu Zhao, Shaohua Wan, Songtao Lu, Jinping Sun, Peng Lei
2018	J	`jnl`	On the Sublinear Convergence of Randomly Perturbed Alternating Gradient Descent to Second Order Stationary Solutions. CoRR Songtao Lu, Mingyi Hong, Zhengdao Wang
2018	C	`conf`	Power Market Price Forecasting via Deep Learning. IECON Yongli Zhu, Renchang Dai, Guangyi Liu, Zhiwei Wang, Songtao Lu
2018	J	`jnl`	Power Market Price Forecasting via Deep Learning. CoRR Yongli Zhu, Songtao Lu, Renchang Dai, Guangyi Liu, Zhiwei Wang
2017	J	`jnl`	A Nonconvex Splitting Method for Symmetric Nonnegative Matrix Factorization: Convergence Analysis and Optimality. IEEE Trans. Signal Process. Songtao Lu, Mingyi Hong, Zhengdao Wang
2017	A	`conf`	A Stochastic Nonconvex Splitting Method for Symmetric Nonnegative Matrix Factorization. AISTATS Songtao Lu, Mingyi Hong, Zhengdao Wang
2017	Misc	`conf`	A nonconvex splitting method for symmetric nonnegative matrix factorization: Convergence analysis and optimality. ICASSP Songtao Lu, Mingyi Hong, Zhengdao Wang
2017	C	`conf`	A priority decision making-based bidding strategy for interactive aggregators. IAS Tianguang Lu, Wei-Jen Lee, Qian Ai, Songtao Lu
2017	J	`jnl`	Beampattern Optimization for Frequency Diverse Array With Sparse Frequency Waveforms. IEEE Access Chaoyun Mai, Songtao Lu, Jinping Sun, Guohua Wang
2017	C	`conf`	Overview of System Wide Information Management and Security Analysis. ISADS Qi Ming, Songtao Lu
2017	—	`conf`	Spectrum Zoom Processing for Low-Altitude and Slow-Speed Small Target Detection. GSKI (1) Xuwang Zhang, Jinping Sun, Songtao Lu
2016	J	`jnl`	H-PMHT track-before-detect processing with DP-based track initiation and termination. IET Signal Process. Xuwang Zhang, Jinping Sun, Yuxi Zhang, Songtao Lu, Chao Liu
2016	J	`jnl`	Inexact Block Coordinate Descent Methods For Symmetric Nonnegative Matrix Factorization. CoRR Qingjiang Shi, Haoran Sun, Songtao Lu, Mingyi Hong, Meisam Razaviyayn
2016	—	`conf`	Minimum-volume-regularized weighted symmetric nonnegative matrix factorization for clustering. GlobalSIP Tianxiang Gao, Sigurdur Olofsson, Songtao Lu
2016	J	`jnl`	Multiple hypothesis tracking based on the Shiryayev sequential probability ratio test. Sci. China Inf. Sci. Jinbin Fu, Jinping Sun, Songtao Lu, Yingjing Zhang
2015	Misc	`conf`	Accelerated algorithms for Eigen-Value Decomposition with application to spectral clustering. ACSSC Songtao Lu, Zhengdao Wang
2015	B	`conf`	Joint optimization of power allocation and training duration for uplink multiuser MIMO communications. WCNC Songtao Lu, Zhengdao Wang
2015	C	`conf`	The Sender Controlled Security Model for Message Service. ISADS Songtao Lu, Ming Qi
2015	B	`conf`	Throughput maximization over frequency-selective communication networks. WCNC Songtao Lu, Zhengdao Wang
2015	J	`jnl`	Throughput of Underwater Wireless Ad Hoc Networks With Random Access: A Physical Layer Perspective. IEEE Trans. Wirel. Commun. Songtao Lu, Zhengdao Wang, Zhaohui Wang, Shengli Zhou
2014	J	`jnl`	Achievable Rates and Training Optimization for Uplink Multiuser Massive MIMO Systems. CoRR Songtao Lu, Zhengdao Wang
2014	B	`conf`	Achievable rates of uplink multiuser massive MIMO systems with estimated channels. GLOBECOM Songtao Lu, Zhengdao Wang
2014	J	`jnl`	Joint Optimization of Power Allocation and Training Duration for Uplink Multiuser MIMO Communications. CoRR Songtao Lu, Zhengdao Wang
2013	J	`jnl`	Factor graph aided multiple hypothesis tracking. Sci. China Inf. Sci. Huan Wang, Jinping Sun, Songtao Lu, Shaoming Wei
2013	J	`jnl`	Macro-Pico Amplitude-Space Sharing with Optimized Han-Kobayashi Coding. IEEE Trans. Commun. Yafei Tian, Songtao Lu, Chenyang Yang
2013	—	`conf`	Underwater acoustic network with random access: a physical layer perspective. WUWNet Songtao Lu, Zhengdao Wang, Zhaohui Wang, Shengli Zhou
2012	—	`conf`	A distributed adaptive GSC beamformer over coordinated antenna arrays network for interference mitigation. ACSCC Songtao Lu, Desheng Liu, Jinping Sun
2012	J	`jnl`	Amplitude Space Sharing among the Macro-Cell and Small-Cell Users CoRR Yafei Tian, Songtao Lu, Chenyang Yang
2012	—	`conf`	An Optimized Cooperative Transmission Scheme for Interference Mitigation in Heterogeneous Downlink Network. VTC Fall Kai Huang, Songtao Lu, Jingbo Guo
2010	—	`conf`	A Wideband Space Time Statistical Model for Characterization of Satellite Communication Channel in Dense Multipath Environment. VTC Spring Songtao Lu, Tai Liu, Meng Zheng
2010	—	`conf`	A multipath mitigation algorithm in Global Navigation Satellite Systems arrays using Independent Component Analysis. WCNIS Songtao Lu, Yun Zhao
2010	—	`conf`	Beamforming for Per-Antenna Power Constrained Downlink SINR Optimization. VTC Spring Tai Liu, Songtao Lu, Meng Zheng
2006	—	`conf`	Application of SVD-Based Metabolite Quantification Methods in Magnetic Resonance Spectroscopic Imaging. MIAR Min Huang, Songtao Lu
2004	—	`conf`	Comparison of Phase-Encoded and Sensitivity-Encoded Spectroscopic Imaging. MIAR Min Huang, Songtao Lu, Jiarui Lin, Y. Zhan