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Lili Su
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2020 – today
- 2024
- [j21]Jiangwei Wang
, Lili Su
Towards Safe Autonomy in Hybrid Traffic: Detecting Unpredictable Abnormal Behaviors of Human Drivers via Information Sharing. ACM Trans. Cyber Phys. Syst. 8(2): 16 (2024) - [j20]Mingze Wang, Lili Su, Cilin Yan
RSBuilding: Toward General Remote Sensing Image Building Extraction and Change Detection With Foundation Model. IEEE Trans. Geosci. Remote. Sens. 62: 1-17 (2024) - [j19]Lili Su
Global Convergence of Federated Learning for Mixed Regression. IEEE Trans. Inf. Theory 70(9): 6391-6411 (2024) - [c37]Ruyi Ding, Lili Su, Aidong Adam Ding, Yunsi Fei:
Non-transferable Pruning. ECCV (86) 2024: 375-393 - [c36]Qiong Li, Lili Su, Yanyan Zhao, Lixing Li, Xuan Wang:
An Evaluation Model of the Effectiveness of College Club Activities Based on Grey Relational Analysis. IMIS 2024: 47-57 - [c35]Yuanyuan Li, Lili Su, Carlee Joe-Wong, Edmund Yeh, Stratis Ioannidis:
Distributed Experimental Design Networks. INFOCOM 2024: 2368-2377 - [i41]Yuanyuan Li, Lili Su, Carlee Joe-Wong, Edmund Yeh, Stratis Ioannidis:
Distributed Experimental Design Networks. CoRR abs/2401.04996 (2024) - [i40]Mingze Wang, Keyan Chen, Lili Su, Cilin Yan, Sheng Xu, Haotian Zhang, Pengcheng Yuan, Xiaolong Jiang, Baochang Zhang:
RSBuilding: Towards General Remote Sensing Image Building Extraction and Change Detection with Foundation Model. CoRR abs/2403.07564 (2024) - [i39]Ming Xiang, Stratis Ioannidis, Edmund Yeh, Carlee Joe-Wong, Lili Su:
Empowering Federated Learning with Implicit Gossiping: Mitigating Connection Unreliability Amidst Unknown and Arbitrary Dynamics. CoRR abs/2404.10091 (2024) - [i38]Marie Siew, Haoran Zhang, Jong-Ik Park, Yuezhou Liu, Yichen Ruan, Lili Su, Stratis Ioannidis, Edmund Yeh, Carlee Joe-Wong:
Fair Concurrent Training of Multiple Models in Federated Learning. CoRR abs/2404.13841 (2024) - [i37]Muxing Wang, Pengkun Yang, Lili Su:
On the Convergence Rates of Federated Q-Learning across Heterogeneous Environments. CoRR abs/2409.03897 (2024) - [i36]Xiaochun Niu, Lili Su, Jiaming Xu, Pengkun Yang:
Collaborative Learning with Shared Linear Representations: Statistical Rates and Optimal Algorithms. CoRR abs/2409.04919 (2024) - [i35]Chao Huang, Wenshuo Zang, Carlo Pinciroli, Zhi Jane Li, Taposh Banerjee, Lili Su, Rui Liu:
Reactive Multi-Robot Navigation in Outdoor Environments Through Uncertainty-Aware Active Learning of Human Preference Landscape. CoRR abs/2409.16577 (2024) - [i34]Tongfei Guo, Taposh Banerjee, Rui Liu, Lili Su:
Building Real-time Awareness of Out-of-distribution in Trajectory Prediction for Autonomous Vehicles. CoRR abs/2409.17277 (2024) - [i33]Ruining Yang, Lili Su:
Data-efficient Trajectory Prediction via Coreset Selection. CoRR abs/2409.17385 (2024) - [i32]Ming Xiang, Stratis Ioannidis, Edmund Yeh, Carlee Joe-Wong, Lili Su:
Efficient Federated Learning against Heterogeneous and Non-stationary Client Unavailability. CoRR abs/2409.17446 (2024) - [i31]Ruyi Ding, Lili Su, Aidong Adam Ding, Yunsi Fei:
Non-transferable Pruning. CoRR abs/2410.08015 (2024) - 2023
- [j18]Sujie Shao, Lili Su, Qinghang Zhang
Multi task dynamic edge-end computing collaboration for urban Internet of Vehicles. Comput. Networks 227: 109690 (2023) - [j17]Lili Su, Jiaming Xu, Pengkun Yang:
A Non-parametric View of FedAvg and FedProx:Beyond Stationary Points. J. Mach. Learn. Res. 24: 203:1-203:48 (2023) - [j16]Sujie Shao, Lili Su, Shaoyong Guo, Peng Yu, Xuesong Qiu:
Multi-Agent Cooperative Game Based Task Computing Mechanism for UAV-Assisted 6G NTN. Mob. Networks Appl. 28(4): 1510-1518 (2023) - [j15]Yuanyuan Li
Experimental Design Networks: A Paradigm for Serving Heterogeneous Learners Under Networking Constraints. IEEE/ACM Trans. Netw. 31(5): 2236-2250 (2023) - [c34]Qinghai Ou, Yanru Wang, Hong Zhu, Wendi Wang, Lili Su, Ying Wang:
Service Function Chain Scheduling Method for Power Wide Coverage 5G Multi-link Converged Networks. BMSB 2023: 1-6 - [c33]Sujie Shao, Lili Su, Ruijun Chai, Shaoyong Guo, Siya Xu, Juntao Zheng:
Multi-level Intelligent Collaborative Computing Mechanism Based on DDQN for Smart Highways. BMSB 2023: 1-6 - [c32]Ming Xiang, Stratis Ioannidis, Edmund Yeh, Carlee Joe-Wong, Lili Su:
Towards Bias Correction of FedAvg over Nonuniform and Time-Varying Communications. CDC 2023: 6719-6724 - [c31]Yanyan Zhao, Qiong Li, Xuhui Fan, Lili Su, Jingtao Li, Xiaokang Liu:
Teaching Method of Advanced Mathematics Combining PAD Classroom with ADDIE Model. EIDWT 2023: 98-107 - [c30]Marie Siew
Poster Abstract: Fair Training of Multiple Federated Learning Models on Resource Constrained Network Devices. IPSN 2023: 330-331 - [c29]Muzi Peng, Jiangwei Wang, Dongjin Song, Fei Miao, Lili Su:
Privacy-Preserving and Uncertainty-Aware Federated Trajectory Prediction for Connected Autonomous Vehicles. IROS 2023: 11141-11147 - [c28]Yuezhou Liu
Cache-Enabled Federated Learning Systems. MobiHoc 2023: 1-11 - [i30]Sihong Shao, Lili Su:
Nonlocalization of singular potentials in quantum dynamics. CoRR abs/2301.07298 (2023) - [i29]Muzi Peng, Jiangwei Wang, Dongjin Song, Fei Miao, Lili Su:
Privacy-preserving and Uncertainty-aware Federated Trajectory Prediction for Connected Autonomous Vehicles. CoRR abs/2303.04340 (2023) - [i28]Lili Su, Jiaming Xu, Pengkun Yang:
Federated Learning in the Presence of Adversarial Client Unavailability. CoRR abs/2305.19971 (2023) - [i27]Ming Xiang, Stratis Ioannidis, Edmund Yeh, Carlee Joe-Wong, Lili Su:
Towards Bias Correction of FedAvg over Nonuniform and Time-Varying Communications. CoRR abs/2306.00280 (2023) - [i26]Connor Mclaughlin, Matthew Ding
Fast and Robust State Estimation and Tracking via Hierarchical Learning. CoRR abs/2306.17267 (2023) - [i25]Connor Mclaughlin, Matthew Ding
Network Fault-tolerant and Byzantine-resilient Social Learning via Collaborative Hierarchical Non-Bayesian Learning. CoRR abs/2307.14952 (2023) - [i24]Jiangwei Wang, Lili Su, Songyang Han, Dongjin Song, Fei Miao:
Towards Safe Autonomy in Hybrid Traffic: Detecting Unpredictable Abnormal Behaviors of Human Drivers via Information Sharing. CoRR abs/2309.16716 (2023) - 2022
- [c27]Yuezhou Liu, Yuanyuan Li, Lili Su, Edmund Yeh, Stratis Ioannidis
Experimental Design Networks: A Paradigm for Serving Heterogeneous Learners under Networking Constraints. INFOCOM 2022: 210-219 - [c26]Lili Su, Jiaming Xu, Pengkun Yang:
Global Convergence of Federated Learning for Mixed Regression. NeurIPS 2022 - [i23]Yuezhou Liu, Yuanyuan Li, Lili Su, Edmund Yeh, Stratis Ioannidis:
Experimental Design Networks: A Paradigm for Serving Heterogeneous Learners under Networking Constraints. CoRR abs/2201.04830 (2022) - [i22]Lili Su, Jiaming Xu, Pengkun Yang:
Global Convergence of Federated Learning for Mixed Regression. CoRR abs/2206.07279 (2022) - [i21]Ming Xiang, Lili Su:
β-Stochastic Sign SGD: A Byzantine Resilient and Differentially Private Gradient Compressor for Federated Learning. CoRR abs/2210.00665 (2022) - 2021
- [j14]Lili Su
Byzantine-Resilient Multiagent Optimization. IEEE Trans. Autom. Control. 66(5): 2227-2233 (2021) - [c25]Jiajia Zhao
Lack of Quorum Sensing Leads to Failure of Consensus in Temnothorax Ant Emigration. SSS 2021: 209-228 - [c24]Lili Su, Quanquan C. Liu, Neha Narula:
The Power of Random Symmetry-Breaking in Nakamoto Consensus. DISC 2021: 39:1-39:19 - [i20]Lili Su, Jiaming Xu, Pengkun Yang:
Achieving Statistical Optimality of Federated Learning: Beyond Stationary Points. CoRR abs/2106.15216 (2021) - [i19]Lili Su, Quanquan C. Liu, Neha Narula:
The Power of Random Symmetry-Breaking in Nakamoto Consensus. CoRR abs/2108.09604 (2021) - 2020
- [j13]Xiaolan Wang, Tongzhou Wang, Lili Su, Yansong Wang, Dongpo Yang, Chao Yang, Ningning Liu:
Adaptive Active Vehicle Interior Noise Control Algorithm Based on Nonlinear Signal Reconstruction. Circuits Syst. Signal Process. 39(10): 5226-5246 (2020) - [j12]Tao Peng, Lili Su, Ronghui Zhang
A new safe lane-change trajectory model and collision avoidance control method for automatic driving vehicles. Expert Syst. Appl. 141 (2020) - [j11]Xuan Yang, Weide Li
An improved evolution fruit fly optimization algorithm and its application. Neural Comput. Appl. 32(14): 9897-9914 (2020) - [j10]Lili Su
Finite-Time Guarantees for Byzantine-Resilient Distributed State Estimation With Noisy Measurements. IEEE Trans. Autom. Control. 65(9): 3758-3771 (2020) - [c23]Xuhui Fan, Wei Li, Zhimin Wang, Yiyue Sun, Lili Su:
The Analysis of Higher Mathematics Teaching Strategy Based on the Innovative Teaching Mode. IMIS 2020: 344-353 - [c22]Qiong Li, Yanyan Zhao, Jiangtao Li, Lili Su:
Teaching Evaluation Index Based on Analytic Hierarchy Process. INCoS 2020: 382-390
2010 – 2019
- 2019
- [j9]Lili Su, Nitin H. Vaidya:
Defending non-Bayesian learning against adversarial attacks. Distributed Comput. 32(4): 277-289 (2019) - [j8]Lili Su, Chia-Jung Chang, Nancy A. Lynch:
Spike-Based Winner-Take-All Computation: Fundamental Limits and Order-Optimal Circuits. Neural Comput. 31(12): 2523-2561 (2019) - [j7]Lili Su, Martin Zubeldia, Nancy A. Lynch:
Collaboratively Learning the Best Option on Graphs, Using Bounded Local Memory. Proc. ACM Meas. Anal. Comput. Syst. 3(1): 11:1-11:32 (2019) - [j6]Lili Su, Jiaming Xu:
Securing Distributed Gradient Descent in High Dimensional Statistical Learning. Proc. ACM Meas. Anal. Comput. Syst. 3(1): 12:1-12:41 (2019) - [j5]Lili Su:
Defending Distributed Systems Against Adversarial Attacks: Consensus, Consensusbased Learning, and Statistical Learning. SIGMETRICS Perform. Evaluation Rev. 47(3): 24-27 (2019) - [c21]Pooja Vyavahare, Lili Su, Nitin H. Vaidya:
Distributed Learning over Time-Varying Graphs with Adversarial Agents. FUSION 2019: 1-8 - [c20]Lili Su, Pengkun Yang:
On Learning Over-parameterized Neural Networks: A Functional Approximation Perspective. NeurIPS 2019: 2637-2646 - [c19]Lili Su, Martin Zubeldia, Nancy A. Lynch:
Collaboratively Learning the Best Option on Graphs, Using Bounded Local Memory. SIGMETRICS (Abstracts) 2019: 1-2 - [c18]Lili Su, Jiaming Xu:
Securing Distributed Gradient Descent in High Dimensional Statistical Learning. SIGMETRICS (Abstracts) 2019: 83-84 - [i18]Pooja Vyavahare, Lili Su, Nitin H. Vaidya:
Distributed Learning with Adversarial Agents Under Relaxed Network Condition. CoRR abs/1901.01943 (2019) - [i17]Lili Su, Chia-Jung Chang, Nancy A. Lynch:
Spike-Based Winner-Take-All Computation: Fundamental Limits and Order-Optimal Circuits. CoRR abs/1904.10399 (2019) - [i16]Lili Su, Pengkun Yang:
On Learning Over-parameterized Neural Networks: A Functional Approximation Prospective. CoRR abs/1905.10826 (2019) - 2018
- [c17]Lili Su:
On the Convergence Rate of Average Consensus and Distributed optimization over Unreliable Networks. ACSSC 2018: 43-47 - [c16]Yudong Chen, Lili Su, Jiaming Xu:
Distributed Statistical Machine Learning in Adversarial Settings: Byzantine Gradient Descent. SIGMETRICS (Abstracts) 2018: 96 - [i15]Lili Su, Martin Zubeldia, Nancy A. Lynch:
Collaboratively Learning the Best Option, Using Bounded Memory. CoRR abs/1802.08159 (2018) - [i14]Lili Su, Jiaming Xu:
Securing Distributed Machine Learning in High Dimensions. CoRR abs/1804.10140 (2018) - [i13]Lili Su, Shahin Shahrampour:
Finite-time Guarantees for Byzantine-Resilient Distributed State Estimation with Noisy Measurements. CoRR abs/1810.10086 (2018) - [i12]Lili Su, Martin Zubeldia, Nancy A. Lynch:
Collaboratively Learning the Best Option on Graphs, Using Bounded Local Memory. CoRR abs/1811.03968 (2018) - 2017
- [b1]Lili Su:
Defending distributed systems against adversarial attacks: consensus, consensus-based learning, and statistical learning. University of Illinois Urbana-Champaign, USA, 2017 - [j4]Farzad Farnoud Hassanzadeh
Computing similarity distances between rankings. Discret. Appl. Math. 232: 157-175 (2017) - [j3]Lili Su, Nitin H. Vaidya:
Reaching approximate Byzantine consensus with multi-hop communication. Inf. Comput. 255: 352-368 (2017) - [j2]Yudong Chen, Lili Su, Jiaming Xu:
Distributed Statistical Machine Learning in Adversarial Settings: Byzantine Gradient Descent. Proc. ACM Meas. Anal. Comput. Syst. 1(2): 44:1-44:25 (2017) - [c15]Hsin-Hao Su, Lili Su, Anna R. Dornhaus, Nancy A. Lynch:
Ant-Inspired Dynamic Task Allocation via Gossiping. SSS 2017: 157-171 - [i11]Yudong Chen, Lili Su, Jiaming Xu:
Distributed Statistical Machine Learning in Adversarial Settings: Byzantine Gradient Descent. CoRR abs/1705.05491 (2017) - 2016
- [j1]Lili Su:
DISC 2016 Review. SIGACT News 47(4): 39-43 (2016) - [c14]Lili Su, Nitin H. Vaidya:
Multi-agent optimization in the presence of Byzantine adversaries: Fundamental limits. ACC 2016: 7183-7188 - [c13]Lili Su, Nitin H. Vaidya:
Fault-Tolerant Multi-Agent Optimization: Optimal Iterative Distributed Algorithms. PODC 2016: 425-434 - [c12]Lili Su, Nitin H. Vaidya:
Asynchronous Non-Bayesian Learning in the Presence of Crash Failures. SSS 2016: 352-367 - [c11]Lili Su, Nitin H. Vaidya:
Robust Multi-agent Optimization: Coping with Byzantine Agents with Input Redundancy. SSS 2016: 368-382 - [c10]Lili Su, Nitin H. Vaidya:
Non-Bayesian Learning in the Presence of Byzantine Agents. DISC 2016: 414-427 - [i10]Lili Su, Nitin H. Vaidya:
Asynchronous Distributed Hypothesis Testing in the Presence of Crash Failures. CoRR abs/1606.03418 (2016) - [i9]Lili Su, Nitin H. Vaidya:
Defending Non-Bayesian Learning against Adversarial Attacks. CoRR abs/1606.08883 (2016) - [i8]Lili Su, Nitin H. Vaidya:
Robust Multi-Agent Optimization: Coping with Packet-Dropping Link Failures. CoRR abs/1606.08904 (2016) - 2015
- [c9]Ying Zhang, Lili Su, Zhifan Yang, Xue Zhao, Xiaojie Yuan:
Multi-Label Emotion Tagging for Online News by Supervised Topic Model. APWeb 2015: 67-79 - [c8]Lili Su, Nitin H. Vaidya:
Reaching Approximate Byzantine Consensus with Multi-hop Communication. SSS 2015: 21-35 - [i7]Lili Su, Nitin H. Vaidya:
Byzantine Multi-Agent Optimization: Part I. CoRR abs/1506.04681 (2015) - [i6]Lili Su, Nitin H. Vaidya:
Byzantine Multi-Agent Optimization: Part II. CoRR abs/1507.01845 (2015) - [i5]Lili Su, Nitin H. Vaidya:
Fault-Tolerant Multi-Agent Optimization: Part III. CoRR abs/1509.01864 (2015) - [i4]Lili Su, Nitin H. Vaidya:
Fault-Tolerant Distributed Optimization (Part IV): Constrained Optimization with Arbitrary Directed Networks. CoRR abs/1511.01821 (2015) - 2014
- [c7]Chao Wang, Lili Su, Xue Zhao, Ying Zhang:
Application Performance Monitoring and Analyzing Based on Bayesian Network. IEEE WISA 2014: 61-64 - [c6]Ying Zhang, Xue Zhao, Chao Wang, Ya Wang, Lili Su, Xiaojie Yuan:
Social Advertisability Analysis on Twitter. IEEE WISA 2014: 119-124 - [c5]Lili Su, Olgica Milenkovic:
Synchronizing rankings via interactive communication. ISIT 2014: 1056-1060 - [c4]Lili Su, Farzad Farnoud, Olgica Milenkovic:
Similarity distances between permutations. ISIT 2014: 2267-2271 - [i3]Lili Su, Olgica Milenkovic:
Synchronizing Rankings via Interactive Communication. CoRR abs/1401.8022 (2014) - [i2]Lili Su, Nitin H. Vaidya:
Reaching Approximate Byzantine Consensus with Multi-hop Communication. CoRR abs/1411.5282 (2014) - 2013
- [i1]Lili Su, Farzad Farnoud, Olgica Milenkovic:
Computing Similarity Distances Between Rankings. CoRR abs/1307.4339 (2013) - 2010
- [c3]Hongying Shan, Lili Su, Songyan Pan, Shubin Ge, Libin Zhang:
Simulation analysis of error correction method of headlamp detection based on driving direction. WCNIS 2010: 290-294
2000 – 2009
- 2009
- [c2]He Guo, Lili Su, Yuxin Wang, Zhu Long:
FPGA-Accelerated Molecular Dynamics Simulations System. ScalCom-EmbeddedCom 2009: 360-365 - 2008
- [c1]Lili Su, Shenggang Yang, Yushun Li, Xiaochun Cheng
Semantic-Oriented Ubiquitous Learning Object Management System SULOMS. COMPSAC 2008: 801-806
Coauthor Index
Edmund M. Yeh
aka: Edmund Yeh
aka: Edmund Yeh
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last updated on 2024-11-19 21:43 CET by the dblp team
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