| 2026 | ACL | Towards IP Intelligence: Benchmarking Large Language Models on Intellectual Property Knowledge and Practice. | Qiyao Wang, Guhong Chen, Hongbo Wang, Huaren Liu, Minghui Zhu, Zhifei Qin, Linwei Li, Yilin Yue, Shiqiang Wang, Jiayan Li, Yihang Wu, Ziqiang Liu, Longze Chen, Run Luo, Liyang Fan, Jiaming Li, Lei Zhang, Kan Xu, Hamid Alinejad-Rokny, Chengming Li, Shiwen Ni, Yuan Lin, Min Yang |
| 2026 | Mobisys | Agentic Performance at the Edge: Insights from Benchmarking. | Shiqiang Wang, Herbert Woisetschlger |
| 2025 | ICLR | Dynamic Loss-Based Sample Reweighting for Improved Large Language Model Pretraining. | Daouda Sow, Herbert Woisetschlger, Saikiran Bulusu, Shiqiang Wang, Hans-Arno Jacobsen, Yingbin Liang |
| 2025 | ICLR | Vertical Federated Learning with Missing Features During Training and Inference. | Pedro Valdeira, Shiqiang Wang, Yuejie Chi |
| 2025 | MOBIHOC | Local-Cloud Inference Offloading for LLMs in Multi-Modal, Multi-Task, Multi-Dialogue Settings. | Liangqi Yuan, Dong-Jun Han, Shiqiang Wang, Christopher Brinton |
| 2024 | AAAI | DePRL: Achieving Linear Convergence Speedup in Personalized Decentralized Learning with Shared Representations. | Guojun Xiong, Gang Yan, Shiqiang Wang, Jian Li |
| 2024 | AISTATS | FedFisher: Leveraging Fisher Information for One-Shot Federated Learning. | Divyansh Jhunjhunwala, Shiqiang Wang, Gauri Joshi |
| 2024 | ICLR | A Lightweight Method for Tackling Unknown Participation Statistics in Federated Averaging. | Shiqiang Wang, Mingyue Ji |
| 2024 | ICML | A New Theoretical Perspective on Data Heterogeneity in Federated Optimization. | Jiayi Wang, Shiqiang Wang, Rong-Rong Chen, Mingyue Ji |
| 2024 | ICML | FADAS: Towards Federated Adaptive Asynchronous Optimization. | Yujia Wang, Shiqiang Wang, Songtao Lu, Jinghui Chen |
| 2024 | IJCAI | A Survey on Efficient Federated Learning Methods for Foundation Model Training. | Herbert Woisetschlger, Alexander Erben, Shiqiang Wang, Ruben Mayer, Hans-Arno Jacobsen |
| 2024 | INFOCOM | Taming Subnet-Drift in D2D-Enabled Fog Learning: A Hierarchical Gradient Tracking Approach. | Evan Chen, Shiqiang Wang, Christopher G. Brinton |
| 2024 | INFOCOM | Federated Learning While Providing Model as a Service: Joint Training and Inference Optimization. | Pengchao Han, Shiqiang Wang, Yang Jiao, Jianwei Huang |
| 2024 | ISIT | Erasure Coded Neural Network Inference via Fisher Averaging. | Divyansh Jhunjhunwala, Neharika Jali, Gauri Joshi, Shiqiang Wang |
| 2024 | ITW | Optimal Rate Region for Key Efficient Hierarchical Secure Aggregation with User Collusion. | Xiang Zhang, Kai Wan, Hua Sun, Shiqiang Wang, Mingyue Ji, Giuseppe Caire |
| 2024 | Middleware | FLEdge: Benchmarking Federated Learning Applications in Edge Computing Systems. | Herbert Woisetschlger, Alexander Erben, Ruben Mayer, Shiqiang Wang, Hans-Arno Jacobsen |
| 2024 | MOBIHOC | Active Learning for WBAN-based Health Monitoring. | Cho-Chun Chiu, Tuan Nguyen, Ting He, Shiqiang Wang, Beom-Su Kim, Ki-Il Kim |
| 2024 | MOBIHOC | Straggler-Resilient Decentralized Learning via Adaptive Asynchronous Updates. | Guojun Xiong, Gang Yan, Shiqiang Wang, Jian Li |
| 2024 | WCNC | Adaptive Model Pruning for Hierarchical Wireless Federated Learning. | Xiaonan Liu, Shiqiang Wang, Yansha Deng, Arumugam Nallanathan |
| 2023 | ACSSC | Rethinking the Data Heterogeneity in Federated Learning. | Jiayi Wang, Shiqiang Wang, Rong-Rong Chen, Mingyue Ji |
| 2023 | CVPR | Gradient-based Uncertainty Attribution for Explainable Bayesian Deep Learning. | Hanjing Wang, Dhiraj Joshi, Shiqiang Wang, Qiang Ji |
| 2023 | ICDCS | Incentive Mechanism Design for Unbiased Federated Learning with Randomized Client Participation. | Bing Luo, Yutong Feng, Shiqiang Wang, Jianwei Huang, Leandros Tassiulas |
| 2023 | ICLR | FedExP: Speeding Up Federated Averaging via Extrapolation. | Divyansh Jhunjhunwala, Shiqiang Wang, Gauri Joshi |
| 2023 | ICML | LESS-VFL: Communication-Efficient Feature Selection for Vertical Federated Learning. | Timothy Castiglia, Yi Zhou, Shiqiang Wang, Swanand Kadhe, Nathalie Baracaldo, Stacy Patterson |
| 2023 | INFOCOM | Federated Learning with Flexible Control. | Shiqiang Wang, Jake B. Perazzone, Mingyue Ji, Kevin S. Chan |
| 2022 | AAAI | KerGNNs: Interpretable Graph Neural Networks with Graph Kernels. | Aosong Feng, Chenyu You, Shiqiang Wang, Leandros Tassiulas |
| 2022 | AAAI | Demystifying Why Local Aggregation Helps: Convergence Analysis of Hierarchical SGD. | Jiayi Wang, Shiqiang Wang, Rong-Rong Chen, Mingyue Ji |
| 2022 | ICML | Compressed-VFL: Communication-Efficient Learning with Vertically Partitioned Data. | Timothy J. Castiglia, Anirban Das, Shiqiang Wang, Stacy Patterson |
| 2022 | IJCAI | Sketch to Skip and Select: Communication Efficient Federated Learning Using Locality Sensitive Hashing. | Georgios Kollias, Theodoros Salonidis, Shiqiang Wang |
| 2022 | INFOCOM | Tackling System and Statistical Heterogeneity for Federated Learning with Adaptive Client Sampling. | Bing Luo, Wenli Xiao, Shiqiang Wang, Jianwei Huang, Leandros Tassiulas |
| 2022 | INFOCOM | Communication-Efficient Device Scheduling for Federated Learning Using Stochastic Optimization. | Jake B. Perazzone, Shiqiang Wang, Mingyue Ji, Kevin S. Chan |
| 2021 | ALT | Online Learning of Facility Locations. | Stephen Pasteris, Ting He, Fabio Vitale, Shiqiang Wang, Mark Herbster |
| 2021 | ICASSP | Robustness and Diversity Seeking Data-Free Knowledge Distillation. | Pengchao Han, Jihong Park, Shiqiang Wang, Yejun Liu |
| 2021 | INFOCOM | Tailored Learning-Based Scheduling for Kubernetes-Oriented Edge-Cloud System. | Yiwen Han, Shihao Shen, Xiaofei Wang, Shiqiang Wang, Victor C. M. Leung |
| 2021 | INFOCOM | Cost-Effective Federated Learning Design. | Bing Luo, Xiang Li, Shiqiang Wang, Jianwei Huang, Leandros Tassiulas |
| 2020 | EuroSys | CoLearn: enabling federated learning in MUD-compliant IoT edge networks. | Angelo Feraudo, Poonam Yadav, Vadim Safronov, Diana Andreea Popescu, Richard Mortier, Shiqiang Wang, Paolo Bellavista, Jon Crowcroft |
| 2020 | ICDCS | Adaptive Gradient Sparsification for Efficient Federated Learning: An Online Learning Approach. | Pengchao Han, Shiqiang Wang, Kin K. Leung |
| 2020 | ICDCS | Communication-efficient k-Means for Edge-based Machine Learning. | Hanlin Lu, Ting He, Shiqiang Wang, Changchang Liu, Mehrdad Mahdavi, Vijaykrishnan Narayanan, Kevin S. Chan, Stephen Pasteris |
| 2020 | ICPR | Overcoming Noisy and Irrelevant Data in Federated Learning. | Tiffany Tuor, Shiqiang Wang, Bong Jun Ko, Changchang Liu, Kin K. Leung |
| 2020 | Networking | Joint Coreset Construction and Quantization for Distributed Machine Learning. | Hanlin Lu, Changchang Liu, Shiqiang Wang, Ting He, Vijaykrishnan Narayanan, Kevin S. Chan, Stephen Pasteris |
| 2020 | WCNC | Capacity Analysis of Distributed Computing Systems with Multiple Resource Types. | Pengchao Han, Shiqiang Wang, Kin K. Leung |
| 2019 | AISTATS | MaxHedge: Maximizing a Maximum Online. | Stephen Pasteris, Fabio Vitale, Kevin S. Chan, Shiqiang Wang, Mark Herbster |
| 2019 | GLOBECOM | Robust Coreset Construction for Distributed Machine Learning. | Hanlin Lu, Ming-Ju Li, Ting He, Shiqiang Wang, Vijaykrishnan Narayanan, Kevin S. Chan |
| 2019 | ICDCS | Online Collection and Forecasting of Resource Utilization in Large-Scale Distributed Systems. | Tiffany Tuor, Shiqiang Wang, Kin K. Leung, Bong Jun Ko |
| 2019 | ICIP | Exact Incremental and Decremental Learning for LS-SVM. | Wei-Han Lee, Bong Jun Ko, Shiqiang Wang, Changchang Liu, Kin K. Leung |
| 2019 | INFOCOM | Service Placement and Request Scheduling for Data-intensive Applications in Edge Clouds. | Vajiheh Farhadi, Fidan Mehmeti, Ting He, Tom La Porta, Hana Khamfroush, Shiqiang Wang, Kevin S. Chan |
| 2019 | INFOCOM | Looking Glass of NFV: Inferring the Structure and State of NFV Network from External Observations. | Yilei Lin, Ting He, Shiqiang Wang, Kevin S. Chan, Stephen Pasteris |
| 2019 | INFOCOM | Service Placement with Provable Guarantees in Heterogeneous Edge Computing Systems. | Stephen Pasteris, Shiqiang Wang, Mark Herbster, Ting He |
| 2019 | SENSYS | Acoustic anomaly detection system: demo abstract. | Jae-wook Ahn, Keith Grueneberg, Bong Jun Ko, Wei-Han Lee, Eduardo Morales, Shiqiang Wang, Xiping Wang, David Wood |
| 2019 | SmartComp | Demonstration of Federated Learning in a Resource-Constrained Networked Environment. | Dave Conway-Jones, Tiffany Tuor, Shiqiang Wang, Kin K. Leung |
| 2019 | SmartComp | On Data Summarization for Machine Learning in Multi-organization Federations. | Bong Jun Ko, Shiqiang Wang, Ting He, Dave Conway-Jones |
| 2018 | FUSION | Distributed Machine Learning in Coalition Environments: Overview of Techniques. | Tiffany Tuor, Shiqiang Wang, Kin K. Leung, Kevin Chan |
| 2018 | ICDCS | It's Hard to Share: Joint Service Placement and Request Scheduling in Edge Clouds with Sharable and Non-Sharable Resources. | Ting He, Hana Khamfroush, Shiqiang Wang, Tom La Porta, Sebastian Stein |
| 2018 | INFOCOM | Demo abstract: Distributed machine learning at resource-limited edge nodes. | Tiffany Tuor, Shiqiang Wang, Theodoros Salonidis, Bong Jun Ko, Kin K. Leung |
| 2018 | INFOCOM | When Edge Meets Learning: Adaptive Control for Resource-Constrained Distributed Machine Learning. | Shiqiang Wang, Tiffany Tuor, Theodoros Salonidis, Kin K. Leung, Christian Makaya, Ting He, Kevin Chan |
| 2018 | PRICAI | A Lazy One-Dependence Classification Algorithm Based on Selective Patterns. | Zhuoya Ju, Zhihai Wang, Shiqiang Wang |
| 2017 | ICASSP | Non-negative matrix factorization of signals with overlapping events for event detection applications. | Shiqiang Wang, Jorge Ortiz |
| 2017 | ICDCS | Location Privacy in Mobile Edge Clouds. | Ting He, Ertugrul N. Ciftcioglu, Shiqiang Wang, Kevin S. Chan |
| 2017 | UIC | Data distribution and scheduling for distributed analytics tasks. | Stephen Pasteris, Shiqiang Wang, Christian Makaya, Kevin Chan, Mark Herbster |
| 2016 | MOBICOM | Migrating running applications across mobile edge clouds: poster. | Andrew Machen, Shiqiang Wang, Kin K. Leung, Bong Jun Ko, Theodoros Salonidis |
| 2016 | MOBIHOC | Asymptotically optimal algorithm for online reconfiguration of edge-clouds. | I-Hong Hou, Tao Zhao, Shiqiang Wang, Kevin Chan |
| 2016 | SENSYS | Acoustic Signal Processing for Anomaly Detection in Machine Room Environments: Demo Abstract. | Bong Jun Ko, Jorge Ortiz, Theodoros Salonidis, Maroun Touma, Dinesh C. Verma, Shiqiang Wang, Xiping Wang, David Wood |
| 2015 | Networking | Dynamic service migration in mobile edge-clouds. | Shiqiang Wang, Rahul Urgaonkar, Murtaza Zafer, Ting He, Kevin S. Chan, Kin K. Leung |
| 2015 | PIMRC | Double auction and negotiation for dynamic resource allocation with elastic demands. | Yue Yang, Shiqiang Wang, Qingyang Song, Lei Guo, Abbas Jamalipour |
| 2014 | PIMRC | Deadline-aware adaptive packet scheduling and transmission in cooperative wireless networks. | Lu Zhang, Yao Yu, Fei Huang, Qingyang Song, Lei Guo, Shiqiang Wang |
| 2012 | GLOBECOM | Phase-level synchronization for physical-layer network coding. | Yang Huang, Qingyang Song, Shiqiang Wang, Abbas Jamalipour |
| 2012 | GLOBECOM | Constellation mapping for physical-layer network coding with M-QAM modulation. | Shiqiang Wang, Qingyang Song, Lei Guo, Abbas Jamalipour |
| 2012 | PIMRC | Symbol error rate analysis for M-QAM modulated physical-layer network coding with phase errors. | Yang Huang, Qingyang Song, Shiqiang Wang, Abbas Jamalipour |