Lili Su - RankMe

122 papers A* 8A 3B 4C 8Misc 2Journal 79Unranked 17

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Fast and Robust State Estimation and Tracking via Hierarchical Learning. IEEE Trans. Autom. Control. Connor Mclaughlin, Matthew Ding, Deniz Erdogmus, Lili Su
2026	J	`jnl`	Latent Dynamics-Aware OOD Monitoring for Trajectory Prediction with Provable Guarantees. CoRR Tongfei Guo, Lili Su
2026	J	`jnl`	On the Power of Source Screening for Learning Shared Feature Extractors. CoRR Leo Wang, Connor Mclaughlin, Lili Su
2026	J	`jnl`	Personalized Multi-Agent Average Reward TD-Learning via Joint Linear Approximation. CoRR Leo Muxing Wang, Pengkun Yang, Lili Su
2026	J	`jnl`	Similarity-Aware Mixture-of-Experts for Data-Efficient Continual Learning. CoRR Connor Mclaughlin, Nigel Lee, Lili Su
2025	J	`jnl`	A Trajectory Generator for High-Density Traffic and Diverse Agent-Interaction Scenarios. CoRR Ruining Yang, Yi Xu, Yixiao Chen, Yun Fu, Lili Su
2025	J	`jnl`	A visual tracking algorithm based on context constraint and aberration suppression. Knowl. Based Syst. Yinqiang Su, Lili Su, Fang Xu, Hui Zhao
2025	J	`jnl`	Dynamic Aware: Adaptive Multi-Mode Out-of-Distribution Detection for Trajectory Prediction in Autonomous Vehicles. CoRR Tongfei Guo, Lili Su
2025	J	`jnl`	Empowering Federated Learning With Implicit Gossiping: Mitigating Connection Unreliability Amidst Unknown and Arbitrary Dynamics. IEEE Trans. Signal Process. Ming Xiang, Stratis Ioannidis, Edmund Yeh, Carlee Joe-Wong, Lili Su
2025	J	`jnl`	Fair Concurrent Training of Multiple Models in Federated Learning. IEEE Trans. Netw. Marie Siew, Haoran Zhang, Jong-Ik Park, Yuezhou Liu, Yichen Ruan, Lili Su, Stratis Ioannidis, Edmund Yeh, Carlee Joe-Wong
2025	J	`jnl`	Introduction to the Special Issue on Performance Evaluation of Federated Learning Systems Part 1. ACM Trans. Model. Perform. Evaluation Comput. Syst. Carlee Joe-Wong, Lili Su
2025	J	`jnl`	Introduction to the Special Issue on Performance Evaluation of Federated Learning Systems Part 2. ACM Trans. Model. Perform. Evaluation Comput. Syst. Carlee Joe-Wong, Lili Su
2025	J	`jnl`	Latency-optimized multi-task collaborative computing mechanism based on NOMA-D2D for AIoT. Comput. Commun. Sujie Shao, Lili Su, Shaoyong Guo, Siya Xu, Xuesong Qiu
2025	J	`jnl`	On the Convergence Rates of Federated Q-Learning across Heterogeneous Environments. Trans. Mach. Learn. Res. Muxing Wang, Pengkun Yang, Lili Su
2025	A*	`conf`	Probe-Me-Not: Protecting Pre-trained Encoders from Malicious Probing. NDSS Ruyi Ding, Tong Zhou, Lili Su, Aidong Adam Ding, Xiaolin Xu, Yunsi Fei
2025	J	`jnl`	Trajectory Prediction Meets Large Language Models: A Survey. CoRR Yi Xu, Ruining Yang, Yitian Zhang, Yizhou Wang, Jianglin Lu, Mingyuan Zhang, Lili Su, Yun Fu
2024	—	`conf`	An Evaluation Model of the Effectiveness of College Club Activities Based on Grey Relational Analysis. IMIS Qiong Li, Lili Su, Yanyan Zhao, Lixing Li, Xuan Wang
2024	J	`jnl`	Building Real-time Awareness of Out-of-distribution in Trajectory Prediction for Autonomous Vehicles. CoRR Tongfei Guo, Taposh Banerjee, Rui Liu, Lili Su
2024	—	`conf`	Byzantine-Resilient Collaborative Hierarchical Non-Bayesian Learning. IEEECONF Connor Mclaughlin, Matthew Ding, Deniz Erdogmus, Lili Su
2024	J	`jnl`	Collaborative Learning with Shared Linear Representations: Statistical Rates and Optimal Algorithms. CoRR Xiaochun Niu, Lili Su, Jiaming Xu, Pengkun Yang
2024	J	`jnl`	Data-efficient Trajectory Prediction via Coreset Selection. CoRR Ruining Yang, Lili Su
2024	A*	`conf`	Distributed Experimental Design Networks. INFOCOM YuanYuan Li, Lili Su, Carlee Joe-Wong, Edmund Yeh, Stratis Ioannidis
2024	J	`jnl`	Distributed Experimental Design Networks. CoRR YuanYuan Li, Lili Su, Carlee Joe-Wong, Edmund Yeh, Stratis Ioannidis
2024	A*	`conf`	Efficient Federated Learning against Heterogeneous and Non-stationary Client Unavailability. NeurIPS Ming Xiang, Stratis Ioannidis, Edmund Yeh, Carlee Joe-Wong, Lili Su
2024	J	`jnl`	Efficient Federated Learning against Heterogeneous and Non-stationary Client Unavailability. CoRR Ming Xiang, Stratis Ioannidis, Edmund Yeh, Carlee Joe-Wong, Lili Su
2024	J	`jnl`	Empowering Federated Learning with Implicit Gossiping: Mitigating Connection Unreliability Amidst Unknown and Arbitrary Dynamics. CoRR Ming Xiang, Stratis Ioannidis, Edmund Yeh, Carlee Joe-Wong, Lili Su
2024	J	`jnl`	Fair Concurrent Training of Multiple Models in Federated Learning. CoRR Marie Siew, Haoran Zhang, Jong-Ik Park, Yuezhou Liu, Yichen Ruan, Lili Su, Stratis Ioannidis, Edmund Yeh, Carlee Joe-Wong
2024	J	`jnl`	Global Convergence of Federated Learning for Mixed Regression. IEEE Trans. Inf. Theory Lili Su, Jiaming Xu, Pengkun Yang
2024	Misc	`conf`	Investigation of Location Problem in Logistics Centers Using ADMM Algorithm. CISIS Lili Su, Qiong Li, Xiaolong Ma, Xuan Wang
2024	—	`conf`	Non-transferable Pruning. ECCV (86) Ruyi Ding, Lili Su, Aidong Adam Ding, Yunsi Fei
2024	J	`jnl`	Non-transferable Pruning. CoRR Ruyi Ding, Lili Su, Aidong Adam Ding, Yunsi Fei
2024	J	`jnl`	On the Convergence Rates of Federated Q-Learning across Heterogeneous Environments. CoRR Muxing Wang, Pengkun Yang, Lili Su
2024	A*	`conf`	Personalized Federated Learning via Feature Distribution Adaptation. NeurIPS Connor Mclaughlin, Lili Su
2024	J	`jnl`	Personalized Federated Learning via Feature Distribution Adaptation. CoRR Connor J. McLaughlin, Lili Su
2024	J	`jnl`	Probe-Me-Not: Protecting Pre-trained Encoders from Malicious Probing. CoRR Ruyi Ding, Tong Zhou, Lili Su, Aidong Adam Ding, Xiaolin Xu, Yunsi Fei
2024	J	`jnl`	RSBuilding: Toward General Remote Sensing Image Building Extraction and Change Detection With Foundation Model. IEEE Trans. Geosci. Remote. Sens. Mingze Wang, Lili Su, Cilin Yan, Sheng Xu, Pengcheng Yuan, Xiaolong Jiang, Baochang Zhang
2024	J	`jnl`	RSBuilding: Towards General Remote Sensing Image Building Extraction and Change Detection with Foundation Model. CoRR Mingze Wang, Keyan Chen, Lili Su, Cilin Yan, Sheng Xu, Haotian Zhang, Pengcheng Yuan, Xiaolong Jiang, Baochang Zhang
2024	J	`jnl`	Reactive Multi-Robot Navigation in Outdoor Environments Through Uncertainty-Aware Active Learning of Human Preference Landscape. CoRR Chao Huang, Wenshuo Zang, Carlo Pinciroli, Zhi Jane Li, Taposh Banerjee, Lili Su, Rui Liu
2024	J	`jnl`	Towards Safe Autonomy in Hybrid Traffic: Detecting Unpredictable Abnormal Behaviors of Human Drivers via Information Sharing. ACM Trans. Cyber Phys. Syst. Jiangwei Wang, Lili Su, Songyang Han, Dongjin Song, Fei Miao
2023	J	`jnl`	A Non-parametric View of FedAvg and FedProx:Beyond Stationary Points. J. Mach. Learn. Res. Lili Su, Jiaming Xu, Pengkun Yang
2023	B	`conf`	Cache-Enabled Federated Learning Systems. MobiHoc Yuezhou Liu, Lili Su, Carlee Joe-Wong, Stratis Ioannidis, Edmund Yeh, Marie Siew
2023	J	`jnl`	Experimental Design Networks: A Paradigm for Serving Heterogeneous Learners Under Networking Constraints. IEEE/ACM Trans. Netw. YuanYuan Li, Yuezhou Liu, Lili Su, Edmund Yeh, Stratis Ioannidis
2023	J	`jnl`	Fast and Robust State Estimation and Tracking via Hierarchical Learning. CoRR Connor Mclaughlin, Matthew Ding, Deniz Edogmus, Lili Su
2023	J	`jnl`	Federated Learning in the Presence of Adversarial Client Unavailability. CoRR Lili Su, Jiaming Xu, Pengkun Yang
2023	J	`jnl`	Multi task dynamic edge-end computing collaboration for urban Internet of Vehicles. Comput. Networks Sujie Shao, Lili Su, Qinghang Zhang, Shuang Wu, Shaoyong Guo, Feng Qi
2023	J	`jnl`	Multi-Agent Cooperative Game Based Task Computing Mechanism for UAV-Assisted 6G NTN. Mob. Networks Appl. Sujie Shao, Lili Su, Shaoyong Guo, Peng Yu, Xuesong Qiu
2023	—	`conf`	Multi-level Intelligent Collaborative Computing Mechanism Based on DDQN for Smart Highways. BMSB Sujie Shao, Lili Su, Ruijun Chai, Shaoyong Guo, Siya Xu, Juntao Zheng
2023	J	`jnl`	Network Fault-tolerant and Byzantine-resilient Social Learning via Collaborative Hierarchical Non-Bayesian Learning. CoRR Connor Mclaughlin, Matthew Ding, Deniz Edogmus, Lili Su
2023	J	`jnl`	Nonlocalization of singular potentials in quantum dynamics. CoRR Sihong Shao, Lili Su
2023	—	`conf`	Poster Abstract: Fair Training of Multiple Federated Learning Models on Resource Constrained Network Devices. IPSN Marie Siew, Shoba Arunasalam, Yichen Ruan, Ziwei Zhu, Lili Su, Stratis Ioannidis, Edmund Yeh, Carlee Joe-Wong
2023	A	`conf`	Privacy-Preserving and Uncertainty-Aware Federated Trajectory Prediction for Connected Autonomous Vehicles. IROS Muzi Peng, Jiangwei Wang, Dongjin Song, Fei Miao, Lili Su
2023	J	`jnl`	Privacy-preserving and Uncertainty-aware Federated Trajectory Prediction for Connected Autonomous Vehicles. CoRR Muzi Peng, Jiangwei Wang, Dongjin Song, Fei Miao, Lili Su
2023	—	`conf`	Service Function Chain Scheduling Method for Power Wide Coverage 5G Multi-link Converged Networks. BMSB Qinghai Ou, Yanru Wang, Hong Zhu, Wendi Wang, Lili Su, Ying Wang
2023	—	`conf`	Teaching Method of Advanced Mathematics Combining PAD Classroom with ADDIE Model. EIDWT Yanyan Zhao, Qiong Li, Xuhui Fan, Lili Su, Jingtao Li, Xiaokang Liu
2023	—	`conf`	Towards Bias Correction of FedAvg over Nonuniform and Time-Varying Communications. CDC Ming Xiang, Stratis Ioannidis, Edmund Yeh, Carlee Joe-Wong, Lili Su
2023	J	`jnl`	Towards Bias Correction of FedAvg over Nonuniform and Time-Varying Communications. CoRR Ming Xiang, Stratis Ioannidis, Edmund Yeh, Carlee Joe-Wong, Lili Su
2023	J	`jnl`	Towards Safe Autonomy in Hybrid Traffic: Detecting Unpredictable Abnormal Behaviors of Human Drivers via Information Sharing. CoRR Jiangwei Wang, Lili Su, Songyang Han, Dongjin Song, Fei Miao
2022	A*	`conf`	Experimental Design Networks: A Paradigm for Serving Heterogeneous Learners under Networking Constraints. INFOCOM Yuezhou Liu, YuanYuan Li, Lili Su, Edmund Yeh, Stratis Ioannidis
2022	J	`jnl`	Experimental Design Networks: A Paradigm for Serving Heterogeneous Learners under Networking Constraints. CoRR Yuezhou Liu, YuanYuan Li, Lili Su, Edmund Yeh, Stratis Ioannidis
2022	A*	`conf`	Global Convergence of Federated Learning for Mixed Regression. NeurIPS Lili Su, Jiaming Xu, Pengkun Yang
2022	J	`jnl`	Global Convergence of Federated Learning for Mixed Regression. CoRR Lili Su, Jiaming Xu, Pengkun Yang
2022	J	`jnl`	β-Stochastic Sign SGD: A Byzantine Resilient and Differentially Private Gradient Compressor for Federated Learning. CoRR Ming Xiang, Lili Su
2021	J	`jnl`	Achieving Statistical Optimality of Federated Learning: Beyond Stationary Points. CoRR Lili Su, Jiaming Xu, Pengkun Yang
2021	J	`jnl`	Byzantine-Resilient Multiagent Optimization. IEEE Trans. Autom. Control. Lili Su, Nitin H. Vaidya
2021	C	`conf`	Lack of Quorum Sensing Leads to Failure of Consensus in Temnothorax Ant Emigration. SSS Jiajia Zhao, Lili Su, Nancy A. Lynch
2021	A	`conf`	The Power of Random Symmetry-Breaking in Nakamoto Consensus. DISC Lili Su, Quanquan C. Liu, Neha Narula
2021	J	`jnl`	The Power of Random Symmetry-Breaking in Nakamoto Consensus. CoRR Lili Su, Quanquan C. Liu, Neha Narula
2020	J	`jnl`	A new safe lane-change trajectory model and collision avoidance control method for automatic driving vehicles. Expert Syst. Appl. Tao Peng, Lili Su, Ronghui Zhang, Zhiwei Guan, Honglin Zhao, Zhijun Tony Qiu, Changfu Zong, Hongguo Xu
2020	J	`jnl`	Adaptive Active Vehicle Interior Noise Control Algorithm Based on Nonlinear Signal Reconstruction. Circuits Syst. Signal Process. Xiaolan Wang, Tongzhou Wang, Lili Su, Yansong Wang, Dongpo Yang, Chao Yang, Ningning Liu
2020	J	`jnl`	An improved evolution fruit fly optimization algorithm and its application. Neural Comput. Appl. Xuan Yang, Weide Li, Lili Su, Yaling Wang, Ailing Yang
2020	J	`jnl`	Finite-Time Guarantees for Byzantine-Resilient Distributed State Estimation With Noisy Measurements. IEEE Trans. Autom. Control. Lili Su, Shahin Shahrampour
2020	—	`conf`	Teaching Evaluation Index Based on Analytic Hierarchy Process. INCoS Qiong Li, Yanyan Zhao, Jiangtao Li, Lili Su
2020	—	`conf`	The Analysis of Higher Mathematics Teaching Strategy Based on the Innovative Teaching Mode. IMIS Xuhui Fan, Wei Li, Zhimin Wang, Yiyue Sun, Lili Su
2019	—	`conf`	Collaboratively Learning the Best Option on Graphs, Using Bounded Local Memory. SIGMETRICS (Abstracts) Lili Su, Martin Zubeldia, Nancy A. Lynch
2019	J	`jnl`	Collaboratively Learning the Best Option on Graphs, Using Bounded Local Memory. Proc. ACM Meas. Anal. Comput. Syst. Lili Su, Martin Zubeldia, Nancy A. Lynch
2019	J	`jnl`	Defending Distributed Systems Against Adversarial Attacks: Consensus, Consensusbased Learning, and Statistical Learning. SIGMETRICS Perform. Evaluation Rev. Lili Su
2019	J	`jnl`	Defending non-Bayesian learning against adversarial attacks. Distributed Comput. Lili Su, Nitin H. Vaidya
2019	C	`conf`	Distributed Learning over Time-Varying Graphs with Adversarial Agents. FUSION Pooja Vyavahare, Lili Su, Nitin H. Vaidya
2019	J	`jnl`	Distributed Learning with Adversarial Agents Under Relaxed Network Condition. CoRR Pooja Vyavahare, Lili Su, Nitin H. Vaidya
2019	A*	`conf`	On Learning Over-parameterized Neural Networks: A Functional Approximation Perspective. NeurIPS Lili Su, Pengkun Yang
2019	J	`jnl`	On Learning Over-parameterized Neural Networks: A Functional Approximation Prospective. CoRR Lili Su, Pengkun Yang
2019	—	`conf`	Securing Distributed Gradient Descent in High Dimensional Statistical Learning. SIGMETRICS (Abstracts) Lili Su, Jiaming Xu
2019	J	`jnl`	Securing Distributed Gradient Descent in High Dimensional Statistical Learning. Proc. ACM Meas. Anal. Comput. Syst. Lili Su, Jiaming Xu
2019	J	`jnl`	Spike-Based Winner-Take-All Computation: Fundamental Limits and Order-Optimal Circuits. CoRR Lili Su, Chia-Jung Chang, Nancy A. Lynch
2019	J	`jnl`	Spike-Based Winner-Take-All Computation: Fundamental Limits and Order-Optimal Circuits. Neural Comput. Lili Su, Chia-Jung Chang, Nancy A. Lynch
2018	J	`jnl`	Collaboratively Learning the Best Option on Graphs, Using Bounded Local Memory. CoRR Lili Su, Martin Zubeldia, Nancy A. Lynch
2018	J	`jnl`	Collaboratively Learning the Best Option, Using Bounded Memory. CoRR Lili Su, Martin Zubeldia, Nancy A. Lynch
2018	—	`conf`	Distributed Statistical Machine Learning in Adversarial Settings: Byzantine Gradient Descent. SIGMETRICS (Abstracts) Yudong Chen, Lili Su, Jiaming Xu
2018	J	`jnl`	Finite-time Guarantees for Byzantine-Resilient Distributed State Estimation with Noisy Measurements. CoRR Lili Su, Shahin Shahrampour
2018	Misc	`conf`	On the Convergence Rate of Average Consensus and Distributed optimization over Unreliable Networks. ACSSC Lili Su
2018	J	`jnl`	Securing Distributed Machine Learning in High Dimensions. CoRR Lili Su, Jiaming Xu
2017	C	`conf`	Ant-Inspired Dynamic Task Allocation via Gossiping. SSS Hsin-Hao Su, Lili Su, Anna R. Dornhaus, Nancy A. Lynch
2017	J	`jnl`	Computing similarity distances between rankings. Discret. Appl. Math. Farzad Farnoud Hassanzadeh, Olgica Milenkovic, Gregory J. Puleo, Lili Su
2017	—	`—`	Defending distributed systems against adversarial attacks: consensus, consensus-based learning, and statistical learning Lili Su
2017	J	`jnl`	Distributed Statistical Machine Learning in Adversarial Settings: Byzantine Gradient Descent. CoRR Yudong Chen, Lili Su, Jiaming Xu
2017	J	`jnl`	Distributed Statistical Machine Learning in Adversarial Settings: Byzantine Gradient Descent. Proc. ACM Meas. Anal. Comput. Syst. Yudong Chen, Lili Su, Jiaming Xu
2017	J	`jnl`	Reaching approximate Byzantine consensus with multi-hop communication. Inf. Comput. Lili Su, Nitin H. Vaidya
2016	J	`jnl`	Asynchronous Distributed Hypothesis Testing in the Presence of Crash Failures. CoRR Lili Su, Nitin H. Vaidya
2016	C	`conf`	Asynchronous Non-Bayesian Learning in the Presence of Crash Failures. SSS Lili Su, Nitin H. Vaidya
2016	J	`jnl`	DISC 2016 Review. SIGACT News Lili Su
2016	J	`jnl`	Defending Non-Bayesian Learning against Adversarial Attacks. CoRR Lili Su, Nitin H. Vaidya
2016	A*	`conf`	Fault-Tolerant Multi-Agent Optimization: Optimal Iterative Distributed Algorithms. PODC Lili Su, Nitin H. Vaidya
2016	C	`conf`	Multi-agent optimization in the presence of Byzantine adversaries: Fundamental limits. ACC Lili Su, Nitin H. Vaidya
2016	A	`conf`	Non-Bayesian Learning in the Presence of Byzantine Agents. DISC Lili Su, Nitin H. Vaidya
2016	J	`jnl`	Robust Multi-Agent Optimization: Coping with Packet-Dropping Link Failures. CoRR Lili Su, Nitin H. Vaidya
2016	C	`conf`	Robust Multi-agent Optimization: Coping with Byzantine Agents with Input Redundancy. SSS Lili Su, Nitin H. Vaidya
2015	J	`jnl`	Byzantine Multi-Agent Optimization: Part I. CoRR Lili Su, Nitin H. Vaidya
2015	J	`jnl`	Byzantine Multi-Agent Optimization: Part II. CoRR Lili Su, Nitin H. Vaidya
2015	J	`jnl`	Fault-Tolerant Distributed Optimization (Part IV): Constrained Optimization with Arbitrary Directed Networks. CoRR Lili Su, Nitin H. Vaidya
2015	J	`jnl`	Fault-Tolerant Multi-Agent Optimization: Part III. CoRR Lili Su, Nitin H. Vaidya
2015	C	`conf`	Multi-Label Emotion Tagging for Online News by Supervised Topic Model. APWeb Ying Zhang, Lili Su, Zhifan Yang, Xue Zhao, Xiaojie Yuan
2015	C	`conf`	Reaching Approximate Byzantine Consensus with Multi-hop Communication. SSS Lili Su, Nitin H. Vaidya
2014	—	`conf`	Application Performance Monitoring and Analyzing Based on Bayesian Network. IEEE WISA Chao Wang, Lili Su, Xue Zhao, Ying Zhang
2014	J	`jnl`	Reaching Approximate Byzantine Consensus with Multi-hop Communication. CoRR Lili Su, Nitin H. Vaidya
2014	B	`conf`	Similarity distances between permutations. ISIT Lili Su, Farzad Farnoud, Olgica Milenkovic
2014	—	`conf`	Social Advertisability Analysis on Twitter. IEEE WISA Ying Zhang, Xue Zhao, Chao Wang, Ya Wang, Lili Su, Xiaojie Yuan
2014	J	`jnl`	Synchronizing Rankings via Interactive Communication. CoRR Lili Su, Olgica Milenkovic
2014	B	`conf`	Synchronizing rankings via interactive communication. ISIT Lili Su, Olgica Milenkovic
2013	J	`jnl`	Computing Similarity Distances Between Rankings. CoRR Lili Su, Farzad Farnoud, Olgica Milenkovic
2010	—	`conf`	Simulation analysis of error correction method of headlamp detection based on driving direction. WCNIS Hongying Shan, Lili Su, Songyan Pan, Shubin Ge, Libin Zhang
2009	—	`conf`	FPGA-Accelerated Molecular Dynamics Simulations System. ScalCom-EmbeddedCom He Guo, Lili Su, Yuxin Wang, Zhu Long
2008	B	`conf`	Semantic-Oriented Ubiquitous Learning Object Management System SULOMS. COMPSAC Lili Su, Shenggang Yang, YuShun Li, Xiaochun Cheng, Ronghuai Huang