Shiqiang Wang - RankMe

200 papers A* 27A 9B 21C 1Misc 4Journal 110Unranked 26

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Adaptive Rank Allocation for Federated Parameter-Efficient Fine-Tuning of Language Models. IEEE Trans. Computers Fei Wu, Jia Hu, Geyong Min, Shiqiang Wang
2026	J	`jnl`	Joint Continual Learning of Local Language Models and Cloud Offloading Decisions with Budget Constraints. CoRR Evan Chen, Wenzhi Fang, Shiqiang Wang, Christopher Brinton
2026	J	`jnl`	Optimal Communication and Key Rate Region for Hierarchical Secure Aggregation With User Collusion. IEEE Trans. Inf. Theory Xiang Zhang, Kai Wan, Hua Sun, Shiqiang Wang, Mingyue Ji, Giuseppe Caire
2026	J	`jnl`	Preventing Rank Collapse in Federated Low-Rank Adaptation with Client Heterogeneity. CoRR Fei Wu, Jia Hu, Geyong Min, Shiqiang Wang
2025	J	`jnl`	Adaptive Rank Allocation for Federated Parameter-Efficient Fine-Tuning of Language Models. CoRR Fei Wu, Jia Hu, Geyong Min, Shiqiang Wang
2025	J	`jnl`	Communication-Efficient Device Scheduling for Federated Learning Using Lyapunov Optimization. CoRR Jake B. Perazzone, Shiqiang Wang, Mingyue Ji, Kevin S. Chan
2025	J	`jnl`	Communication-Efficient Device Scheduling for Federated Learning Using Lyapunov Optimization. IEEE Trans. Netw. Jake B. Perazzone, Shiqiang Wang, Mingyue Ji, Kevin Chan
2025	J	`jnl`	Communication-Efficient Hybrid Federated Learning for E-Health With Horizontal and Vertical Data Partitioning. IEEE Trans. Neural Networks Learn. Syst. Chong Yu, Shuaiqi Shen, Shiqiang Wang, Kuan Zhang, Hai Zhao
2025	A*	`conf`	Dynamic Loss-Based Sample Reweighting for Improved Large Language Model Pretraining. ICLR Daouda Sow, Herbert Woisetschläger, Saikiran Bulusu, Shiqiang Wang, Hans-Arno Jacobsen, Yingbin Liang
2025	J	`jnl`	Dynamic Loss-Based Sample Reweighting for Improved Large Language Model Pretraining. CoRR Daouda Sow, Herbert Woisetschläger, Saikiran Bulusu, Shiqiang Wang, Hans-Arno Jacobsen, Yingbin Liang
2025	J	`jnl`	Dynamically Learned Test-Time Model Routing in Language Model Zoos with Service Level Guarantees. CoRR Herbert Woisetschläger, Ryan Zhang, Shiqiang Wang, Hans-Arno Jacobsen
2025	J	`jnl`	GneissWeb: Preparing High Quality Data for LLMs at Scale. CoRR Hajar Emami-Gohari, Swanand Ravindra Kadhe, Syed Yousaf Shah, Constantin Adam, Abdulhamid Adebayo, Praneet Adusumilli, Farhan Ahmed, Nathalie Baracaldo Angel, Santosh Borse, Yuan Chi Chang, Xuan-Hong Dang, Nirmit Desai, Revital Eres, Ran Iwamoto, Alexei Karve, Yan Koyfman, Wei-Han Lee, Changchang Liu, Boris Lublinsky, Takuya Ohko, Pablo Pesce, Maroun Touma, Shiqiang Wang, Shalisha Witherspoon, Herbert Woisetschlaeger, David Wood, Kun-Lung Wu, Issei Yoshida, Syed Zawad, Petros Zerfos, Yi Zhou, Bishwaranjan Bhattacharjee
2025	B	`conf`	Local-Cloud Inference Offloading for LLMs in Multi-Modal, Multi-Task, Multi-Dialogue Settings. MobiHoc Liangqi Yuan, Dong-Jun Han, Shiqiang Wang, Christopher Brinton
2025	J	`jnl`	Local-Cloud Inference Offloading for LLMs in Multi-Modal, Multi-Task, Multi-Dialogue Settings. CoRR Liangqi Yuan, Dong-Jun Han, Shiqiang Wang, Christopher G. Brinton
2025	J	`jnl`	Memory-Efficient Orthogonal Fine-Tuning with Principal Subspace Adaptation. CoRR Fei Wu, Jia Hu, Geyong Min, Shiqiang Wang
2025	J	`jnl`	Multi-policy reinforcement learning for network resource allocation with periodic behaviors. Comput. Networks Zheyu Chen, Kin K. Leung, Shiqiang Wang, Leandros Tassiulas, Kevin S. Chan, Patrick J. Baker
2025	J	`jnl`	Parameter Tracking in Federated Learning with Adaptive Optimization. CoRR Evan Chen, Jianing Zhang, Shiqiang Wang, Chaoyue Liu, Christopher G. Brinton
2025	J	`jnl`	RCCDA: Adaptive Model Updates in the Presence of Concept Drift under a Constrained Resource Budget. CoRR Adam Piaseczny, Md Kamran Chowdhury Shisher, Shiqiang Wang, Christopher G. Brinton
2024	J	`jnl`	A Hierarchical Gradient Tracking Algorithm for Mitigating Subnet-Drift in Fog Learning Networks. CoRR Evan Chen, Shiqiang Wang, Christopher G. Brinton
2024	A*	`conf`	A Lightweight Method for Tackling Unknown Participation Statistics in Federated Averaging. ICLR Shiqiang Wang, Mingyue Ji
2024	A*	`conf`	A New Theoretical Perspective on Data Heterogeneity in Federated Optimization. ICML Jiayi Wang, Shiqiang Wang, Rong-Rong Chen, Mingyue Ji
2024	J	`jnl`	A New Theoretical Perspective on Data Heterogeneity in Federated Optimization. CoRR Jiayi Wang, Shiqiang Wang, Rong-Rong Chen, Mingyue Ji
2024	A*	`conf`	A Survey on Efficient Federated Learning Methods for Foundation Model Training. IJCAI Herbert Woisetschläger, Alexander Erben, Shiqiang Wang, Ruben Mayer, Hans-Arno Jacobsen
2024	J	`jnl`	A Survey on Efficient Federated Learning Methods for Foundation Model Training. CoRR Herbert Woisetschläger, Alexander Isenko, Shiqiang Wang, Ruben Mayer, Hans-Arno Jacobsen
2024	B	`conf`	Active Learning for WBAN-based Health Monitoring. MobiHoc Cho-Chun Chiu, Tuan Nguyen, Ting He, Shiqiang Wang, Beom-Su Kim, Ki-Il Kim
2024	J	`jnl`	Active Learning for WBAN-based Health Monitoring. CoRR Cho-Chun Chiu, Tuan Nguyen, Ting He, Shiqiang Wang, Beom-Su Kim, Ki-Il Kim
2024	J	`jnl`	Adaptive Federated Pruning in Hierarchical Wireless Networks. IEEE Trans. Wirel. Commun. Xiaonan Liu, Shiqiang Wang, Yansha Deng, Arumugam Nallanathan
2024	J	`jnl`	Adaptive Heterogeneous Client Sampling for Federated Learning Over Wireless Networks. IEEE Trans. Mob. Comput. Bing Luo, Wenli Xiao, Shiqiang Wang, Jianwei Huang, Leandros Tassiulas
2024	J	`jnl`	Adaptive Heterogeneous Client Sampling for Federated Learning over Wireless Networks. CoRR Bing Luo, Wenli Xiao, Shiqiang Wang, Jianwei Huang, Leandros Tassiulas
2024	B	`conf`	Adaptive Model Pruning for Hierarchical Wireless Federated Learning. WCNC Xiaonan Liu, Shiqiang Wang, Yansha Deng, Arumugam Nallanathan
2024	J	`jnl`	Communication-Efficient Hybrid Federated Learning for E-health with Horizontal and Vertical Data Partitioning. CoRR Chong Yu, Shuaiqi Shen, Shiqiang Wang, Kuan Zhang, Hai Zhao
2024	A*	`conf`	DePRL: Achieving Linear Convergence Speedup in Personalized Decentralized Learning with Shared Representations. AAAI Guojun Xiong, Gang Yan, Shiqiang Wang, Jian Li
2024	B	`conf`	Erasure Coded Neural Network Inference via Fisher Averaging. ISIT Divyansh Jhunjhunwala, Neharika Jali, Gauri Joshi, Shiqiang Wang
2024	J	`jnl`	Erasure Coded Neural Network Inference via Fisher Averaging. CoRR Divyansh Jhunjhunwala, Neharika Jali, Gauri Joshi, Shiqiang Wang
2024	A	`conf`	FLEdge: Benchmarking Federated Learning Applications in Edge Computing Systems. Middleware Herbert Woisetschläger, Alexander Erben, Ruben Mayer, Shiqiang Wang, Hans-Arno Jacobsen
2024	A	`conf`	FedFisher: Leveraging Fisher Information for One-Shot Federated Learning. AISTATS Divyansh Jhunjhunwala, Shiqiang Wang, Gauri Joshi
2024	J	`jnl`	FedFisher: Leveraging Fisher Information for One-Shot Federated Learning. CoRR Divyansh Jhunjhunwala, Shiqiang Wang, Gauri Joshi
2024	—	`conf`	Federated Fine-Tuning of LLMs on the Very Edge: The Good, the Bad, the Ugly. DEEM@SIGMOD Herbert Woisetschläger, Alexander Erben, Shiqiang Wang, Ruben Mayer, Hans-Arno Jacobsen
2024	J	`jnl`	Federated Learning Priorities Under the European Union Artificial Intelligence Act. CoRR Herbert Woisetschläger, Alexander Erben, Bill Marino, Shiqiang Wang, Nicholas D. Lane, Ruben Mayer, Hans-Arno Jacobsen
2024	A*	`conf`	Federated Learning While Providing Model as a Service: Joint Training and Inference Optimization. INFOCOM Pengchao Han, Shiqiang Wang, Yang Jiao, Jianwei Huang
2024	J	`jnl`	Flexible Vertical Federated Learning With Heterogeneous Parties. IEEE Trans. Neural Networks Learn. Syst. Timothy Castiglia, Shiqiang Wang, Stacy Patterson
2024	A*	`conf`	Hierarchical Federated Learning with Multi-Timescale Gradient Correction. NeurIPS Wenzhi Fang, Dong-Jun Han, Evan Chen, Shiqiang Wang, Christopher G. Brinton
2024	J	`jnl`	Hierarchical Federated Learning with Multi-Timescale Gradient Correction. CoRR Wenzhi Fang, Dong-Jun Han, Evan Chen, Shiqiang Wang, Christopher G. Brinton
2024	—	`ed.`	IEEE International Conference on Edge Computing and Communications, EDGE 2024, Shenzhen, China, July 7-13, 2024 EDGE Rong N. Chang, Carl K. Chang, Jingwei Yang, Zhi Jin, Michael Sheng, Jing Fan, Kenneth Fletcher, Qiang He, Nimanthi L. Atukorala, Hongyue Wu, Shiqiang Wang, Shuiguang Deng, Nirmit Desai, Gopal Pingali, Javid Taheri, K. V. Subramaniam, Feras M. Awaysheh, Kaoutar El Maghaouri, Yingjie Wang
2024	J	`jnl`	MESS+: Energy-Optimal Inferencing in Language Model Zoos with Service Level Guarantees. CoRR Ryan Zhang, Herbert Woisetschläger, Shiqiang Wang, Hans-Arno Jacobsen
2024	J	`jnl`	Optimal Communication and Key Rate Region for Hierarchical Secure Aggregation with User Collusion. CoRR Xiang Zhang, Kai Wan, Hua Sun, Shiqiang Wang, Mingyue Ji, Giuseppe Caire
2024	B	`conf`	Optimal Rate Region for Key Efficient Hierarchical Secure Aggregation with User Collusion. ITW Xiang Zhang, Kai Wan, Hua Sun, Shiqiang Wang, Mingyue Ji, Giuseppe Caire
2024	—	`conf`	Semantic Attribution for Explainable Uncertainty Quantification. Epi UAI Hanjing Wang, Shiqiang Wang, Qiang Ji
2024	B	`conf`	Straggler-Resilient Decentralized Learning via Adaptive Asynchronous Updates. MobiHoc Guojun Xiong, Gang Yan, Shiqiang Wang, Jian Li
2024	A*	`conf`	Taming Subnet-Drift in D2D-Enabled Fog Learning: A Hierarchical Gradient Tracking Approach. INFOCOM Evan Chen, Shiqiang Wang, Christopher G. Brinton
2023	J	`jnl`	A Lightweight Method for Tackling Unknown Participation Probabilities in Federated Averaging. CoRR Shiqiang Wang, Mingyue Ji
2023	J	`jnl`	Adaptive Federated Pruning in Hierarchical Wireless Networks. CoRR Xiaonan Liu, Shiqiang Wang, Yansha Deng, Arumugam Nallanathan
2023	J	`jnl`	Collaborative Learning-Based Scheduling for Kubernetes-Oriented Edge-Cloud Network. CoRR Shihao Shen, Yiwen Han, Xiaofei Wang, Shiqiang Wang, Victor C. M. Leung
2023	J	`jnl`	Collaborative Learning-Based Scheduling for Kubernetes-Oriented Edge-Cloud Network. IEEE/ACM Trans. Netw. Shihao Shen, Yiwen Han, Xiaofei Wang, Shiqiang Wang, Victor C. M. Leung
2023	J	`jnl`	DePRL: Achieving Linear Convergence Speedup in Personalized Decentralized Learning with Shared Representations. CoRR Guojun Xiong, Gang Yan, Shiqiang Wang, Jian Li
2023	A*	`conf`	FedExP: Speeding Up Federated Averaging via Extrapolation. ICLR Divyansh Jhunjhunwala, Shiqiang Wang, Gauri Joshi
2023	J	`jnl`	FedExP: Speeding up Federated Averaging Via Extrapolation. CoRR Divyansh Jhunjhunwala, Shiqiang Wang, Gauri Joshi
2023	J	`jnl`	Federated Fine-Tuning of LLMs on the Very Edge: The Good, the Bad, the Ugly. CoRR Herbert Woisetschläger, Alexander Isenko, Shiqiang Wang, Ruben Mayer, Hans-Arno Jacobsen
2023	J	`jnl`	Federated Learning While Providing Model as a Service: Joint Training and Inference Optimization. CoRR Pengchao Han, Shiqiang Wang, Yang Jiao, Jianwei Huang
2023	A*	`conf`	Federated Learning with Flexible Control. INFOCOM Shiqiang Wang, Jake B. Perazzone, Mingyue Ji, Kevin S. Chan
2023	A*	`conf`	Gradient-based Uncertainty Attribution for Explainable Bayesian Deep Learning. CVPR Hanjing Wang, Dhiraj Joshi, Shiqiang Wang, Qiang Ji
2023	J	`jnl`	Gradient-based Uncertainty Attribution for Explainable Bayesian Deep Learning. CoRR Hanjing Wang, Dhiraj Joshi, Shiqiang Wang, Qiang Ji
2023	A	`conf`	Incentive Mechanism Design for Unbiased Federated Learning with Randomized Client Participation. ICDCS Bing Luo, Yutong Feng, Shiqiang Wang, Jianwei Huang, Leandros Tassiulas
2023	J	`jnl`	Incentive Mechanism Design for Unbiased Federated Learning with Randomized Client Participation. CoRR Bing Luo, Yutong Feng, Shiqiang Wang, Jianwei Huang, Leandros Tassiulas
2023	A*	`conf`	LESS-VFL: Communication-Efficient Feature Selection for Vertical Federated Learning. ICML Timothy Castiglia, Yi Zhou, Shiqiang Wang, Swanand Kadhe, Nathalie Baracaldo, Stacy Patterson
2023	J	`jnl`	LESS-VFL: Communication-Efficient Feature Selection for Vertical Federated Learning. CoRR Timothy Castiglia, Yi Zhou, Shiqiang Wang, Swanand Kadhe, Nathalie Baracaldo, Stacy Patterson
2023	J	`jnl`	Laplacian Matrix Sampling for Communication- Efficient Decentralized Learning. IEEE J. Sel. Areas Commun. Cho-Chun Chiu, Xusheng Zhang, Ting He, Shiqiang Wang, Ananthram Swami
2023	—	`conf`	Learning Technique to Solve Periodic Markov Decision Process for Network Resource Allocation. MILCOM Zheyu Chen, Kin K. Leung, Shiqiang Wang, Leandros Tassiulas, Kevin S. Chan, Patrick J. Baker
2023	J	`jnl`	Model Pruning Enables Efficient Federated Learning on Edge Devices. IEEE Trans. Neural Networks Learn. Syst. Yuang Jiang, Shiqiang Wang, Víctor Valls, Bong Jun Ko, Wei-Han Lee, Kin K. Leung, Leandros Tassiulas
2023	—	`conf`	Reinforcement Learning for Resource Allocation with Periodic Traffic Patterns. ICC Workshops Zheyu Chen, Kin K. Leung, Shiqiang Wang, Leandros Tassiulas, Kevin S. Chan, Patrick J. Baker
2023	Misc	`conf`	Rethinking the Data Heterogeneity in Federated Learning. ACSSC Jiayi Wang, Shiqiang Wang, Rong-Rong Chen, Mingyue Ji
2023	A*	`conf`	StableFDG: Style and Attention Based Learning for Federated Domain Generalization. NeurIPS Jungwuk Park, Dong-Jun Han, Jinho Kim, Shiqiang Wang, Christopher G. Brinton, Jaekyun Moon
2023	J	`jnl`	StableFDG: Style and Attention Based Learning for Federated Domain Generalization. CoRR Jungwuk Park, Dong-Jun Han, Jinho Kim, Shiqiang Wang, Christopher G. Brinton, Jaekyun Moon
2023	J	`jnl`	Straggler-Resilient Decentralized Learning via Adaptive Asynchronous Updates. CoRR Guojun Xiong, Gang Yan, Shiqiang Wang, Jian Li
2023	J	`jnl`	Taming Subnet-Drift in D2D-Enabled Fog Learning: A Hierarchical Gradient Tracking Approach. CoRR Evan Chen, Shiqiang Wang, Christopher G. Brinton
2023	J	`jnl`	Use Coupled LSTM Networks to Solve Constrained Optimization Problems. IEEE Trans. Cogn. Commun. Netw. Zheyu Chen, Kin K. Leung, Shiqiang Wang, Leandros Tassiulas, Kevin S. Chan, Don Towsley
2022	J	`jnl`	A Survey on Federated Learning for Resource-Constrained IoT Devices. IEEE Internet Things J. Ahmed Imteaj, Urmish Thakker, Shiqiang Wang, Jian Li, M. Hadi Amini
2022	A*	`conf`	A Unified Analysis of Federated Learning with Arbitrary Client Participation. NeurIPS Shiqiang Wang, Mingyue Ji
2022	J	`jnl`	A Unified Analysis of Federated Learning with Arbitrary Client Participation. CoRR Shiqiang Wang, Mingyue Ji
2022	J	`jnl`	Communication-Efficient $k$k-Means for Edge-Based Machine Learning. IEEE Trans. Parallel Distributed Syst. Hanlin Lu, Ting He, Shiqiang Wang, Changchang Liu, Mehrdad Mahdavi, Vijaykrishnan Narayanan, Kevin S. Chan, Stephen Pasteris
2022	A*	`conf`	Communication-Efficient Device Scheduling for Federated Learning Using Stochastic Optimization. INFOCOM Jake B. Perazzone, Shiqiang Wang, Mingyue Ji, Kevin S. Chan
2022	J	`jnl`	Communication-Efficient Device Scheduling for Federated Learning Using Stochastic Optimization. CoRR Jake B. Perazzone, Shiqiang Wang, Mingyue Ji, Kevin Chan
2022	—	`ch.`	Communication-Efficient Distributed Optimization Algorithms. Federated Learning Gauri Joshi, Shiqiang Wang
2022	A*	`conf`	Compressed-VFL: Communication-Efficient Learning with Vertically Partitioned Data. ICML Timothy J. Castiglia, Anirban Das, Shiqiang Wang, Stacy Patterson
2022	J	`jnl`	Compressed-VFL: Communication-Efficient Learning with Vertically Partitioned Data. CoRR Timothy Castiglia, Anirban Das, Shiqiang Wang, Stacy Patterson
2022	J	`jnl`	Cross-Silo Federated Learning for Multi-Tier Networks with Vertical and Horizontal Data Partitioning. ACM Trans. Intell. Syst. Technol. Anirban Das, Timothy Castiglia, Shiqiang Wang, Stacy Patterson
2022	A*	`conf`	Demystifying Why Local Aggregation Helps: Convergence Analysis of Hierarchical SGD. AAAI Jiayi Wang, Shiqiang Wang, Rong-Rong Chen, Mingyue Ji
2022	—	`conf`	Efficient Multi-Layer Stochastic Gradient Descent Algorithm for Federated Learning in E-health. ICC Chong Yu, Shuaiqi Shen, Shiqiang Wang, Kuan Zhang, Hai Zhao
2022	J	`jnl`	Federated Learning with Flexible Control. CoRR Shiqiang Wang, Jake B. Perazzone, Mingyue Ji, Kevin S. Chan
2022	J	`jnl`	Flexible Vertical Federated Learning with Heterogeneous Parties. CoRR Timothy Castiglia, Shiqiang Wang, Stacy Patterson
2022	J	`jnl`	Joint Coreset Construction and Quantization for Distributed Machine Learning. CoRR Hanlin Lu, Changchang Liu, Shiqiang Wang, Ting He, Vijay Narayanan, Kevin S. Chan, Stephen Pasteris
2022	A*	`conf`	KerGNNs: Interpretable Graph Neural Networks with Graph Kernels. AAAI Aosong Feng, Chenyu You, Shiqiang Wang, Leandros Tassiulas
2022	J	`jnl`	KerGNNs: Interpretable Graph Neural Networks with Graph Kernels. CoRR Aosong Feng, Chenyu You, Shiqiang Wang, Leandros Tassiulas
2022	—	`conf`	Sketch to Skip and Select: Communication Efficient Federated Learning Using Locality Sensitive Hashing. FL@IJCAI Georgios Kollias, Theodoros Salonidis, Shiqiang Wang
2022	A*	`conf`	Tackling System and Statistical Heterogeneity for Federated Learning with Adaptive Client Sampling. INFOCOM Bing Luo, Wenli Xiao, Shiqiang Wang, Jianwei Huang, Leandros Tassiulas
2021	J	`jnl`	Communication-efficient k-Means for Edge-based Machine Learning. CoRR Hanlin Lu, Ting He, Shiqiang Wang, Changchang Liu, Mehrdad Mahdavi, Vijaykrishnan Narayanan, Kevin S. Chan, Stephen Pasteris
2021	A*	`conf`	Cost-Effective Federated Learning Design. INFOCOM Bing Luo, Xiang Li, Shiqiang Wang, Jianwei Huang, Leandros Tassiulas
2021	J	`jnl`	Cost-Effective Federated Learning in Mobile Edge Networks. CoRR Bing Luo, Xiang Li, Shiqiang Wang, Jianwei Huang, Leandros Tassiulas
2021	J	`jnl`	Cost-Effective Federated Learning in Mobile Edge Networks. IEEE J. Sel. Areas Commun. Bing Luo, Xiang Li, Shiqiang Wang, Jianwei Huang, Leandros Tassiulas
2021	J	`jnl`	Cross-Silo Federated Learning for Multi-Tier Networks with Vertical and Horizontal Data Partitioning. CoRR Anirban Das, Timothy Castiglia, Shiqiang Wang, Stacy Patterson
2021	J	`jnl`	Efficient deep learning. Nat. Comput. Sci. Shiqiang Wang
2021	J	`jnl`	Guest Editorial: AI-Empowered Mobile Edge Computing in the Internet of Vehicles. IEEE Netw. Jun Huang, Jalel Ben-Othman, Shiqiang Wang, Ricky Yu-Kwong Kwok, Victor C. M. Leung, Wei Sun
2021	B	`conf`	Online Learning of Facility Locations. ALT Stephen Pasteris, Ting He, Fabio Vitale, Shiqiang Wang, Mark Herbster
2021	—	`conf`	PrivacyGuard: Enhancing Smart Home User Privacy. IPSN Keyang Yu, Qi Li, Dong Chen, Mohammad Rahman, Shiqiang Wang
2021	—	`conf`	Robust Solutions to Constrained Optimization Problems by LSTM Networks. MILCOM Zheyu Chen, Kin K. Leung, Shiqiang Wang, Leandros Tassiulas, Kevin Chan
2021	Misc	`conf`	Robustness and Diversity Seeking Data-Free Knowledge Distillation. ICASSP Pengchao Han, Jihong Park, Shiqiang Wang, Yejun Liu
2021	J	`jnl`	Service Placement and Request Scheduling for Data-Intensive Applications in Edge Clouds. IEEE/ACM Trans. Netw. Vajiheh Farhadi, Fidan Mehmeti, Ting He, Thomas F. La Porta, Hana Khamfroush, Shiqiang Wang, Kevin S. Chan, Konstantinos Poularakis
2021	J	`jnl`	Tackling System and Statistical Heterogeneity for Federated Learning with Adaptive Client Sampling. CoRR Bing Luo, Wenli Xiao, Shiqiang Wang, Jianwei Huang, Leandros Tassiulas
2021	A*	`conf`	Tailored Learning-Based Scheduling for Kubernetes-Oriented Edge-Cloud System. INFOCOM Yiwen Han, Shihao Shen, Xiaofei Wang, Shiqiang Wang, Victor C. M. Leung
2021	J	`jnl`	Tailored Learning-Based Scheduling for Kubernetes-Oriented Edge-Cloud System. CoRR Yiwen Han, Shihao Shen, Xiaofei Wang, Shiqiang Wang, Victor C. M. Leung
2020	A	`conf`	Adaptive Gradient Sparsification for Efficient Federated Learning: An Online Learning Approach. ICDCS Pengchao Han, Shiqiang Wang, Kin K. Leung
2020	J	`jnl`	Adaptive Gradient Sparsification for Efficient Federated Learning: An Online Learning Approach. CoRR Pengchao Han, Shiqiang Wang, Kin K. Leung
2020	B	`conf`	Capacity Analysis of Distributed Computing Systems with Multiple Resource Types. WCNC Pengchao Han, Shiqiang Wang, Kin K. Leung
2020	—	`conf`	CoLearn: enabling federated learning in MUD-compliant IoT edge networks. EdgeSys@EuroSys Angelo Feraudo, Poonam Yadav, Vadim Safronov, Diana Andreea Popescu, Richard Mortier, Shiqiang Wang, Paolo Bellavista, Jon Crowcroft
2020	A	`conf`	Communication-efficient k-Means for Edge-based Machine Learning. ICDCS Hanlin Lu, Ting He, Shiqiang Wang, Changchang Liu, Mehrdad Mahdavi, Vijaykrishnan Narayanan, Kevin S. Chan, Stephen Pasteris
2020	J	`jnl`	Cost-Effective Federated Learning Design. CoRR Bing Luo, Xiang Li, Shiqiang Wang, Jianwei Huang, Leandros Tassiulas
2020	J	`jnl`	Data Selection for Federated Learning with Relevant and Irrelevant Data at Clients. CoRR Tiffany Tuor, Shiqiang Wang, Bong Jun Ko, Changchang Liu, Kin K. Leung
2020	—	`conf`	Detection of Anomalous Sounds for Machine Condition Monitoring using Classification Confidence. DCASE Tadanobu Inoue, Phongtharin Vinayavekhin, Shu Morikuni, Shiqiang Wang, Tuan Hoang Trong, David Wood, Michiaki Tatsubori, Ryuki Tachibana
2020	J	`jnl`	Federated Learning for Resource-Constrained IoT Devices: Panoramas and State-of-the-art. CoRR Ahmed Imteaj, Urmish Thakker, Shiqiang Wang, Jian Li, M. Hadi Amini
2020	B	`conf`	Joint Coreset Construction and Quantization for Distributed Machine Learning. Networking Hanlin Lu, Changchang Liu, Shiqiang Wang, Ting He, Vijaykrishnan Narayanan, Kevin S. Chan, Stephen Pasteris
2020	J	`jnl`	Local Averaging Helps: Hierarchical Federated Learning and Convergence Analysis. CoRR Jiayi Wang, Shiqiang Wang, Rong-Rong Chen, Mingyue Ji
2020	J	`jnl`	Looking Glass of NFV: Inferring the Structure and State of NFV Network From External Observations. IEEE/ACM Trans. Netw. Yilei Lin, Ting He, Shiqiang Wang, Kevin Chan, Stephen Pasteris
2020	A*	`conf`	Online Algorithms for Multi-shop Ski Rental with Machine Learned Advice. NeurIPS Shufan Wang, Jian Li, Shiqiang Wang
2020	J	`jnl`	Online Algorithms for Multi-shop Ski Rental with Machine Learned Predictions. CoRR Shufan Wang, Jian Li, Shiqiang Wang
2020	J	`jnl`	Online Learning of Facility Locations. CoRR Stephen Pasteris, Ting He, Fabio Vitale, Shiqiang Wang, Mark Herbster
2020	B	`conf`	Overcoming Noisy and Irrelevant Data in Federated Learning. ICPR Tiffany Tuor, Shiqiang Wang, Bong Jun Ko, Changchang Liu, Kin K. Leung
2020	J	`jnl`	Robust Coreset Construction for Distributed Machine Learning. IEEE J. Sel. Areas Commun. Hanlin Lu, Ming-Ju Li, Ting He, Shiqiang Wang, Vijaykrishnan Narayanan, Kevin S. Chan
2020	J	`jnl`	Robustness and Diversity Seeking Data-Free Knowledge Distillation. CoRR Pengchao Han, Jihong Park, Shiqiang Wang, Yejun Liu
2020	J	`jnl`	Sharing Models or Coresets: A Study based on Membership Inference Attack. CoRR Hanlin Lu, Changchang Liu, Ting He, Shiqiang Wang, Kevin S. Chan
2020	—	`conf`	Waypoint-based Topology Inference. ICC Yilei Lin, Ting He, Shiqiang Wang, Kevin S. Chan
2019	Misc	`conf`	Acoustic anomaly detection system: demo abstract. SenSys Jae-wook Ahn, Keith Grueneberg, Bong Jun Ko, Wei-Han Lee, Eduardo Morales, Shiqiang Wang, Xiping Wang, David Wood
2019	J	`jnl`	Adaptive Federated Learning in Resource Constrained Edge Computing Systems. IEEE J. Sel. Areas Commun. Shiqiang Wang, Tiffany Tuor, Theodoros Salonidis, Kin K. Leung, Christian Makaya, Ting He, Kevin Chan
2019	B	`conf`	Demonstration of Federated Learning in a Resource-Constrained Networked Environment. SMARTCOMP Dave Conway-Jones, Tiffany Tuor, Shiqiang Wang, Kin K. Leung
2019	—	`conf`	Detection of Tennis Events from Acoustic Data. MMSports@MM Aaron K. Baughman, Eduardo Morales, Gary Reiss, Nancy Greco, Stephen Hammer, Shiqiang Wang
2019	J	`jnl`	Dynamic Service Migration in Mobile Edge Computing Based on Markov Decision Process. IEEE/ACM Trans. Netw. Shiqiang Wang, Rahul Urgaonkar, Murtaza Zafer, Ting He, Kevin Chan, Kin K. Leung
2019	B	`conf`	Exact Incremental and Decremental Learning for LS-SVM. ICIP Wei-Han Lee, Bong Jun Ko, Shiqiang Wang, Changchang Liu, Kin K. Leung
2019	J	`jnl`	Investigating Statistical Privacy Frameworks from the Perspective of Hypothesis Testing. Proc. Priv. Enhancing Technol. Changchang Liu, Xi He, Thee Chanyaswad, Shiqiang Wang, Prateek Mittal
2019	A*	`conf`	Looking Glass of NFV: Inferring the Structure and State of NFV Network from External Observations. INFOCOM Yilei Lin, Ting He, Shiqiang Wang, Kevin S. Chan, Stephen Pasteris
2019	A	`conf`	MaxHedge: Maximizing a Maximum Online. AISTATS Stephen Pasteris, Fabio Vitale, Kevin S. Chan, Shiqiang Wang, Mark Herbster
2019	J	`jnl`	Model Pruning Enables Efficient Federated Learning on Edge Devices. CoRR Yuang Jiang, Shiqiang Wang, Bong Jun Ko, Wei-Han Lee, Leandros Tassiulas
2019	—	`conf`	Multicast-Based Weight Inference in General Network Topologies. ICC Yilei Lin, Ting He, Shiqiang Wang, Kevin S. Chan, Stephen Pasteris
2019	—	`conf`	Nocturnal Cough and Snore Detection in Noisy Environments Using Smartphone-Microphones. ICHI Sudip Vhaduri, Theodore G. van Kessel, Bongjun Ko, David Wood, Shiqiang Wang, Thomas Brunschwiler
2019	B	`conf`	On Data Summarization for Machine Learning in Multi-organization Federations. SMARTCOMP Bong Jun Ko, Shiqiang Wang, Ting He, Dave Conway-Jones
2019	A	`conf`	Online Collection and Forecasting of Resource Utilization in Large-Scale Distributed Systems. ICDCS Tiffany Tuor, Shiqiang Wang, Kin K. Leung, Bong Jun Ko
2019	J	`jnl`	Online Collection and Forecasting of Resource Utilization in Large-Scale Distributed Systems. CoRR Tiffany Tuor, Shiqiang Wang, Kin K. Leung, Bong Jun Ko
2019	B	`conf`	Robust Coreset Construction for Distributed Machine Learning. GLOBECOM Hanlin Lu, Ming-Ju Li, Ting He, Shiqiang Wang, Vijaykrishnan Narayanan, Kevin S. Chan
2019	J	`jnl`	Robust Coreset Construction for Distributed Machine Learning. CoRR Hanlin Lu, Ming-Ju Li, Ting He, Shiqiang Wang, Vijay Narayanan, Kevin S. Chan
2019	A*	`conf`	Service Placement and Request Scheduling for Data-intensive Applications in Edge Clouds. INFOCOM Vajiheh Farhadi, Fidan Mehmeti, Ting He, Tom La Porta, Hana Khamfroush, Shiqiang Wang, Kevin S. Chan
2019	A*	`conf`	Service Placement with Provable Guarantees in Heterogeneous Edge Computing Systems. INFOCOM Stephen Pasteris, Shiqiang Wang, Mark Herbster, Ting He
2019	J	`jnl`	Service Placement with Provable Guarantees in Heterogeneous Edge Computing Systems. CoRR Stephen Pasteris, Shiqiang Wang, Mark Herbster, Ting He
2019	—	`conf`	Shuffling and Mixing Data Augmentation for Environmental Sound Classification. DCASE Tadanobu Inoue, Phongtharin Vinayavekhin, Shiqiang Wang, David Wood, Asim Munawar, Bong Jun Ko, Nancy Greco, Ryuki Tachibana
2018	—	`conf`	Demo abstract: Distributed machine learning at resource-limited edge nodes. INFOCOM Workshops Tiffany Tuor, Shiqiang Wang, Theodoros Salonidis, Bong Jun Ko, Kin K. Leung
2018	C	`conf`	Distributed Machine Learning in Coalition Environments: Overview of Techniques. FUSION Tiffany Tuor, Shiqiang Wang, Kin K. Leung, Kevin Chan
2018	A	`conf`	It's Hard to Share: Joint Service Placement and Request Scheduling in Edge Clouds with Sharable and Non-Sharable Resources. ICDCS Ting He, Hana Khamfroush, Shiqiang Wang, Tom La Porta, Sebastian Stein
2018	J	`jnl`	Live Service Migration in Mobile Edge Clouds. IEEE Wirel. Commun. Andrew Machen, Shiqiang Wang, Kin K. Leung, Bong Jun Ko, Theodoros Salonidis
2018	J	`jnl`	MaxHedge: Maximising a Maximum Online with Theoretical Performance Guarantees. CoRR Stephen Pasteris, Fabio Vitale, Kevin Chan, Shiqiang Wang
2018	J	`jnl`	Red/LeD: An Asymptotically Optimal and Scalable Online Algorithm for Service Caching at the Edge. IEEE J. Sel. Areas Commun. Tao Zhao, I-Hong Hou, Shiqiang Wang, Kevin Chan
2018	A*	`conf`	When Edge Meets Learning: Adaptive Control for Resource-Constrained Distributed Machine Learning. INFOCOM Shiqiang Wang, Tiffany Tuor, Theodoros Salonidis, Kin K. Leung, Christian Makaya, Ting He, Kevin Chan
2018	J	`jnl`	When Edge Meets Learning: Adaptive Control for Resource-Constrained Distributed Machine Learning. CoRR Shiqiang Wang, Tiffany Tuor, Theodoros Salonidis, Kin K. Leung, Christian Makaya, Ting He, Kevin Chan
2017	—	`conf`	Audio Analysis as a Control Knob for Social Sensing. SocialSens@CPSWeek Dinesh C. Verma, Bong Jun Ko, Shiqiang Wang, Xiping Wang, Graham A. Bent
2017	—	`conf`	Data distribution and scheduling for distributed analytics tasks. SmartWorld/SCALCOM/UIC/ATC/CBDCom/IOP/SCI Stephen Pasteris, Shiqiang Wang, Christian Makaya, Kevin Chan, Mark Herbster
2017	J	`jnl`	Dynamic Service Placement for Mobile Micro-Clouds with Predicted Future Costs. IEEE Trans. Parallel Distributed Syst. Shiqiang Wang, Rahul Urgaonkar, Ting He, Kevin Chan, Murtaza Zafer, Kin K. Leung
2017	J	`jnl`	Live Service Migration in Mobile Edge Clouds. CoRR Andrew Machen, Shiqiang Wang, Kin K. Leung, Bong Jun Ko, Theodoros Salonidis
2017	A	`conf`	Location Privacy in Mobile Edge Clouds. ICDCS Ting He, Ertugrul N. Ciftcioglu, Shiqiang Wang, Kevin S. Chan
2017	J	`jnl`	Location Privacy in Mobile Edge Clouds: A Chaff-Based Approach. IEEE J. Sel. Areas Commun. Ting He, Ertugrul Necdet Ciftcioglu, Shiqiang Wang, Kevin S. Chan
2017	J	`jnl`	Location Privacy in Mobile Edge Clouds: A Chaff-based Approach. CoRR Ting He, Ertugrul N. Ciftcioglu, Shiqiang Wang, Kevin S. Chan
2017	Misc	`conf`	Non-negative matrix factorization of signals with overlapping events for event detection applications. ICASSP Shiqiang Wang, Jorge Ortiz
2017	J	`jnl`	Online Placement of Multi-Component Applications in Edge Computing Environments. IEEE Access Shiqiang Wang, Murtaza Zafer, Kin K. Leung
2016	—	`conf`	Acoustic Signal Processing for Anomaly Detection in Machine Room Environments: Demo Abstract. BuildSys Bong Jun Ko, Jorge Ortiz, Theodoros Salonidis, Maroun Touma, Dinesh C. Verma, Shiqiang Wang, Xiping Wang, David Wood
2016	J	`jnl`	Approaching Single-Hop Performance in Multihop Networks: End-to-End Known-Interference Cancelation (E2E-KIC). IEEE Trans. Veh. Technol. Fanzhao Wang, Lei Guo, Shiqiang Wang, Qingyang Song, Abbas Jamalipour
2016	B	`conf`	Asymptotically optimal algorithm for online reconfiguration of edge-clouds. MobiHoc I-Hong Hou, Tao Zhao, Shiqiang Wang, Kevin Chan
2016	J	`jnl`	End-to-End Known-Interference Cancellation (E2E-KIC) with Multi-Hop Interference. CoRR Shiqiang Wang, Qingyang Song, Kailai Wu, Fanzhao Wang, Lei Guo
2016	A*	`conf`	Migrating running applications across mobile edge clouds: poster. MobiCom Andrew Machen, Shiqiang Wang, Kin K. Leung, Bong Jun Ko, Theodoros Salonidis
2016	J	`jnl`	Online Placement of Multi-Component Applications in Edge Computing Environments. CoRR Shiqiang Wang, Murtaza Zafer, Kin K. Leung
2015	—	`conf`	Almost as good as single-hop full-duplex: bidirectional end-to-end known interference cancellation. ICC Fanzhao Wang, Lei Guo, Shiqiang Wang, Yao Yu, Qingyang Song, Abbas Jamalipour
2015	J	`jnl`	Approaching Single-Hop Performance in Multi-Hop Networks: End-To-End Known-Interference Cancellation (E2E-KIC). CoRR Fanzhao Wang, Lei Guo, Shiqiang Wang, Qingyang Song, Abbas Jamalipour
2015	B	`conf`	Double auction and negotiation for dynamic resource allocation with elastic demands. PIMRC Yue Yang, Shiqiang Wang, Qingyang Song, Lei Guo, Abbas Jamalipour
2015	J	`jnl`	Dynamic Service Migration in Mobile Edge-Clouds. CoRR Shiqiang Wang, Rahul Urgaonkar, Murtaza Zafer, Ting He, Kevin S. Chan, Kin K. Leung
2015	J	`jnl`	Dynamic Service Placement for Mobile Micro-Clouds with Predicted Future Costs. CoRR Shiqiang Wang, Rahul Urgaonkar, Kevin S. Chan, Ting He, Murtaza Zafer, Kin K. Leung
2015	J	`jnl`	Dynamic service migration and workload scheduling in edge-clouds. Perform. Evaluation Rahul Urgaonkar, Shiqiang Wang, Ting He, Murtaza Zafer, Kevin S. Chan, Kin K. Leung
2015	B	`conf`	Dynamic service migration in mobile edge-clouds. Networking Shiqiang Wang, Rahul Urgaonkar, Murtaza Zafer, Ting He, Kevin S. Chan, Kin K. Leung
2015	—	`conf`	Dynamic service placement for mobile micro-clouds with predicted future costs. ICC Shiqiang Wang, Rahul Urgaonkar, Kevin S. Chan, Ting He, Murtaza Zafer, Kin K. Leung
2015	—	`conf`	Emulation-based study of dynamic service placement in mobile micro-clouds. MILCOM Shiqiang Wang, Kevin S. Chan, Rahul Urgaonkar, Ting He, Kin K. Leung
2015	J	`jnl`	Mobility-Induced Service Migration in Mobile Micro-Clouds. CoRR Shiqiang Wang, Rahul Urgaonkar, Ting He, Murtaza Zafer, Kevin S. Chan, Kin K. Leung
2015	—	`conf`	Security-aware service migration for tactical mobile micro-clouds. MILCOM Ertugrul N. Ciftcioglu, Kevin S. Chan, Rahul Urgaonkar, Shiqiang Wang, Ting He
2014	B	`conf`	Deadline-aware adaptive packet scheduling and transmission in cooperative wireless networks. PIMRC Lu Zhang, Yao Yu, Fei Huang, Qingyang Song, Lei Guo, Shiqiang Wang
2014	J	`jnl`	MAC-centric cross-layer collaboration: a case study on physical-layer network coding. IEEE Wirel. Commun. Qingyang Song, Lei Guo, Fanzhao Wang, Shiqiang Wang, Abbas Jamalipour
2014	—	`conf`	Mobility-Induced Service Migration in Mobile Micro-clouds. MILCOM Shiqiang Wang, Rahul Urgaonkar, Ting He, Murtaza Zafer, Kevin S. Chan, Kin K. Leung
2014	—	`conf`	Rate and power adaptation for physical-layer network coding with M-QAM modulation. ICC Fanzhao Wang, Qingyang Song, Shiqiang Wang, Lei Guo
2013	J	`jnl`	Distributed MAC Protocol Supporting Physical-Layer Network Coding. IEEE Trans. Mob. Comput. Shiqiang Wang, Qingyang Song, Xingwei Wang, Abbas Jamalipour
2013	J	`jnl`	Synchronous Physical-Layer Network Coding: A Feasibility Study. IEEE Trans. Wirel. Commun. Yang Huang, Shiqiang Wang, Qingyang Song, Lei Guo, Abbas Jamalipour
2012	J	`jnl`	Adaptive Relaying Method Selection for Multi-Rate Wireless Networks with Network Coding. IEEE Commun. Lett. Fanzhao Wang, Shiqiang Wang, Qingyang Song, Lei Guo
2012	B	`conf`	Constellation mapping for physical-layer network coding with M-QAM modulation. GLOBECOM Shiqiang Wang, Qingyang Song, Lei Guo, Abbas Jamalipour
2012	J	`jnl`	Link stability estimation based on link connectivity changes in mobile ad-hoc networks. J. Netw. Comput. Appl. Qingyang Song, Zhaolong Ning, Shiqiang Wang, Abbas Jamalipour
2012	B	`conf`	Phase-level synchronization for physical-layer network coding. GLOBECOM Yang Huang, Qingyang Song, Shiqiang Wang, Abbas Jamalipour
2012	B	`conf`	Symbol error rate analysis for M-QAM modulated physical-layer network coding with phase errors. PIMRC Yang Huang, Qingyang Song, Shiqiang Wang, Abbas Jamalipour
2011	J	`jnl`	Distributed MAC Protocol Supporting Physical-Layer Network Coding CoRR Shiqiang Wang, Qingyang Song, Xingwei Wang, Abbas Jamalipour
2011	J	`jnl`	Physical-Layer Network Coding with M-QAM Modulation CoRR Shiqiang Wang, Qingyang Song, Lei Guo, Abbas Jamalipour
2011	J	`jnl`	Rate and Power Adaptation for Analog Network Coding. IEEE Trans. Veh. Technol. Shiqiang Wang, Qingyang Song, Xingwei Wang, Abbas Jamalipour
2010	—	`conf`	Predicting the link stability based on link connectivity changes in mobile ad hoc networks. WCNIS Shiqiang Wang, Qingyang Song, Jianxin Feng, Xingwei Wang