Shiqiang Wang

Shiqiang Wang

Research Staff Member

IBM T. J. Watson Research Center, NY, USA

Shiqiang Wang received his Ph.D. from the Department of Electrical and Electronic Engineering, Imperial College London, United Kingdom, in 2015. He is a Research Staff Member at IBM T. J. Watson Research Center, NY, USA since 2016, where he was also a Graduate-level Co-op in the summers of 2014 and 2013. In the fall of 2012, he was at NEC Laboratories Europe, Heidelberg, Germany. His current research focuses on the interdisciplinary areas in machine learning, distributed systems, optimization, networking, and signal processing. Dr. Wang served as a technical program committee (TPC) member of several international conferences, including ICML, ICDCS, AISTATS, IJCAI, WWW, IFIP Networking, IEEE GLOBECOM, IEEE ICC, and as an associate editor of the IEEE Transactions on Mobile Computing (starting in 2021). He received the IBM Outstanding Technical Achievement Award (OTAA) in 2019, multiple Invention Achievement Awards from IBM since 2016, Best Paper Finalist of the IEEE International Conference on Image Processing (ICIP) 2019, and Best Student Paper Award of the Network and Information Sciences International Technology Alliance (NIS-ITA) in 2015.

Research Topics

(Selected)

Federated Learning and Beyond

  • Theory, algorithms, and systems for efficient model training from local data at distributed edge devices/servers, including federated learning and other techniques (e.g., coreset).
  • Highlights: communication interval adaptation [JSAC’19/INFOCOM’18], adaptive model pruning [SpicyFL@NeurIPS’20], gradient sparsification [ICDCS’20], relevant data selection [ICPR’20], robust coreset construction [JSAC’20]

Edge Computing

  • Theory and algorithms for online decision making in edge computing and related systems/applications, for problems including service placement and migration.
  • Highlights: dynamic service migration based on Markov decision process [ToN’19/Networking’15], online decision making with inaccurate predictions [TPDS’17, NeurIPS’20], placement and scheduling with heterogeneous resource types [ICDCS’18, INFOCOM’19], live migration implementation [Wireless’18]

Machine Learning Applications


wordcloud

Publications

Preprints
  1. J. Wang, S. Wang, R.-R. Chen, M. Ji, "Local averaging helps: hierarchical federated learning and convergence analysis".
Conferences (peer-reviewed, including workshops)
  1. P. Han, J. Park, S. Wang, Y. Liu, "Robustness and diversity seeking data-free knowledge distillation," in IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Jun. 2021. [Code]
  2. B. Luo, X. Li, S. Wang, J. Huang, L. Tassiulas, "Cost-effective federated learning design," in IEEE INFOCOM, May 2021 (acceptance rate: 19.9%).
  3. Y. Han, S. Shen, X. Wang, S. Wang, V. C. M. Leung, "Tailored learning-based scheduling for kubernetes-oriented edge-cloud system," in IEEE INFOCOM, May 2021 (acceptance rate: 19.9%). [Code]
  4. S. Pasteris, T. He, F. Vitale, S. Wang, M. Herbster, "Online learning of facility locations," in the 32nd International Conference on Algorithmic Learning Theory (ALT), Mar. 2021.
  5. T. Tuor, S. Wang, B. J. Ko, C. Liu, K. K. Leung, "Overcoming noisy and irrelevant data in federated learning," in the 25th International Conference on Pattern Recognition (ICPR), Jan. 2021.
  6. Y. Jiang, S. Wang, V. Valls, B. J. Ko, W.-H. Lee, K. K. Leung, L. Tassiulas, "Model pruning enables efficient federated learning on edge devices", in Workshop on Scalability, Privacy, and Security in Federated Learning (SpicyFL) in Conjunction with NeurIPS 2020, long talk, Dec. 2020. [Partial Code]
  7. S. Wang, J. Li, S. Wang, "Online algorithms for multi-shop ski rental with machine learned predictions," in the 34th Conference on Neural Information Processing Systems (NeurIPS), Dec. 2020 (acceptance rate: 20.1%). [Code]
  8. P. Han, S. Wang, K. K. Leung, "Adaptive gradient sparsification for efficient federated learning: An Online Learning Approach," in IEEE International Conference on Distributed Computing Systems (ICDCS), Nov. 2020 (acceptance rate: 18.0%). [Code]
  9. H. Lu, T. He, S. Wang, C. Liu, M. Mahdavi, V. Narayanan, K. Chan, S. Pasteris, "Communication-efficient k-means for edge-based machine learning," in IEEE International Conference on Distributed Computing Systems (ICDCS), Nov. 2020 (acceptance rate: 18.0%).
  10. T. Inoue, P. Vinayavekhin, S. Morikuni, S. Wang, T. H. Trong, D. Wood, M. Tatsubori, R. Tachibana, "Detection of anomalous sounds for machine condition monitoring using classification confidence," in Detection and Classification of Acoustic Scenes and Events (DCASE) Workshop 2020, Nov. 2020.
  11. H. Lu, C. Liu, T. He, S. Wang, K. Chan, "Sharing models or coresets: a study based on membership inference attack," in International Workshop on Federated Learning for User Privacy and Data Confidentiality in Conjunction with ICML 2020 (FL-ICML'20), long talk, Jul. 2020.
  12. H. Lu, C. Liu, S. Wang, T. He, V. Narayanan, K. Chan, S. Pasteris, "Joint coreset construction and quantization for distributed machine learning," in IFIP Networking, Jun. 2020 (acceptance rate: 27.5%).
  13. Y. Lin, T. He, S. Wang, K. Chan, "Waypoint-based topology inference," in IEEE International Conference on Communications (ICC), Jun. 2020. [DOI]
  14. P. Han, S. Wang, K. K. Leung, "Capacity analysis of distributed computing systems with multiple resource types," in IEEE Wireless Communications and Networking Conference (WCNC), May 2020. [DOI]
  15. A. Feraudo, P. Yadav, V. Safronov, D. A. Popescu, R. Mortier, S. Wang, P. Bellavista, J. Crowcroft, "CoLearn: Enabling Federated Learning in MUD compliant IoT Edge Networks," in International Workshop on Edge Systems, Analytics and Networking (EdgeSys), in conjunction with ACM EuroSys, Apr. 2020. [DOI]
  16. H. Lu, M.-J. Li, T. He, S. Wang, V. Narayanan, K. Chan, "Robust coreset construction for distributed machine learning," in IEEE Global Communications Conference (GLOBECOM), Dec. 2019. [DOI] [Journal Version]
  17. J.-W. Ahn, K. Grueneberg, B. J. Ko, W.-H. Lee, E. Morales, S. Wang, X. Wang, D. Wood, "Acoustic anomaly detection system: demo abstract," in ACM Conference on Embedded Networked Sensor Systems (SenSys), Nov. 2019. [DOI]
  18. T. Inoue, P. Vinayavekhin, S. Wang, D. Wood, A. Munawar, B. Ko, N. Greco, R. Tachibana, "Shuffling and Mixing Data Augmentation for Environmental Sound Classification", in Detection and Classification of Acoustic Scenes and Events (DCASE) Workshop, Oct. 2019. [DOI]
  19. A. Baughman, E. Morales, G. Reiss, N. Greco, S. Hammer, S. Wang, "Detection of tennis events from acoustic data," in ACM Workshop on Multimedia Content Analysis in Sports (MMSports), in conjunction with ACM International Conference on Multimedia (ACM Multimedia), Oct. 2019. [DOI]
  20. W.-H. Lee, B. J. Ko, S. Wang, C. Liu, K. K. Leung, "Exact incremental and decremental learning for LS-SVM," in the 26th IEEE International Conference on Image Processing (ICIP), Sept. 2019 (best paper finalist, top 20 out of 2,065 submitted papers). [DOI]
  21. C. Liu, X. He, T. Chanyaswad, S. Wang, P. Mittal, "Investigating statistical privacy frameworks from the perspective of hypothesis testing," in Privacy Enhancing Technologies Symposium (PETS), Jul. 2019 (acceptance rate: 22.3%). [DOI]
  22. T. Tuor, S. Wang, K. K. Leung, B. J. Ko, "Online collection and forecasting of resource utilization in large-scale distributed systems," in IEEE International Conference on Distributed Computing Systems (ICDCS), Jul. 2019 (acceptance rate: 19.6%). [DOI]
  23. B. J. Ko, S. Wang, T. He, D. Conway-Jones, "On data summarization for machine Learning in multi-organization federations," in Workshop on Distributed Analytics InfraStructure and Algorithms for Multi-Organization Federations (DAIS), Jun. 2019. [DOI]
  24. D. Conway-Jones, T. Tuor, S. Wang, K. K. Leung, "Demonstration of federated learning in a resource-constrained networked environment," in IEEE International Conference on Smart Computing (SMARTCOMP), Jun. 2019. [DOI]
  25. S. Vhaduri, T. Van Kessel, B. J. Ko, D. Wood, S. Wang, T. Brunschwiler, "Nocturnal cough and snore detection in noisy environments using smartphone-microphones," in IEEE International Conference on Healthcare Informatics (ICHI), Jun. 2019. [DOI]
  26. Y. Lin, T. He, S. Wang, K. Chan, S. Pasteris, "Multicast-based weight inference in general network topologies," in IEEE International Conference on Communications (ICC), May 2019. [DOI]
  27. S. Pasteris, S. Wang, M. Herbster, T. He, "Service placement with provable guarantees in heterogeneous edge computing systems," in IEEE INFOCOM, Apr. 2019 (acceptance rate: 19.7%). [DOI]
  28. Y. Lin, T. He, S. Wang, K. Chan, S. Pasteris, "Looking glass of NFV: inferring the structure and state of NFV network from external observations," in IEEE INFOCOM, Apr. 2019 (acceptance rate: 19.7%). [DOI] [Journal Version]
  29. V. Farhadi, F. Mehmeti, T. He, T. La Porta, H. Khamfroush, S. Wang, K. Chan, "Service placement and request scheduling for data-intensive applications in edge clouds," in IEEE INFOCOM, Apr. 2019 (acceptance rate: 19.7%). [DOI] [Journal Version]
  30. S. Pasteris, F. Vitale, K. Chan, S. Wang, M. Herbster, "MaxHedge: Maximising a Maximum Online," in International Conference on Artificial Intelligence and Statistics (AISTATS), Apr. 2019.
  31. T. Tuor, S. Wang, K. K. Leung, K. Chan, "Distributed machine learning in coalition environments: overview of techniques," in the 21st International Conference on Information Fusion (FUSION), July 2018. [DOI]
  32. T. He, H. Khamfroush, S. Wang, T. La Porta, S. Stein, "It's hard to share: joint service placement and request scheduling in edge clouds with sharable and non-sharable resources," in IEEE International Conference on Distributed Computing Systems (ICDCS), July 2018 (acceptance rate: 20%). [DOI]
  33. S. Wang, T. Tuor, T. Salonidis, K. K. Leung, C. Makaya, T. He, K. Chan, "When edge meets learning: adaptive control for resource-constrained distributed machine learning," in IEEE INFOCOM, Apr. 2018 (acceptance rate: 19.2%). [DOI] [Journal Version] [Code of Journal Version]
  34. T. Tuor, S. Wang, T. Salonidis, B. J. Ko, K. K. Leung, "Demo abstract: distributed machine learning at resource-limited edge nodes," in IEEE INFOCOM, Apr. 2018. [DOI]
  35. T. Tuor, S. Wang, K. K. Leung, B. J. Ko, "Understanding information leakage of distributed inference with deep neural networks: Overview of information theoretic approach and initial results," in Ground/Air Multisensor Interoperability, Integration, and Networking for Persistent ISR IX, Apr. 2018. [DOI]
  36. D. Wood, S. Wang, T. Salonidis, D. Conway-Jones, B. J. Ko, G. White, "Distributed analytics for audio sensing applications," in Ground/Air Multisensor Interoperability, Integration, and Networking for Persistent ISR IX, Apr. 2018. [DOI]
  37. S. Pasteris, S. Wang, C. Makaya, K. Chan, M. Herbster, "Data distribution and scheduling for distributed analytics tasks," in Workshop on Distributed Analytics InfraStructure and Algorithms for Multi-Organization Federations (DAIS), Aug. 2017. [DOI]
  38. T. He, E. N. Ciftcioglu, S. Wang, K. Chan, "Location privacy in mobile edge clouds," in Proc. of the 37th IEEE International Conference on Distributed Computing Systems (ICDCS), short paper, Jun. 2017. [DOI] [Journal Version]
  39. D. Verma, B. J. Ko, S. Wang, X. Wang, G. Bent, "Audio analysis as a control knob for social sensing," in Proc. of the 2nd International Workshop on Social Sensing (SocialSens'17), Apr. 2017. [DOI]
  40. S. Wang, J. Ortiz, "Non-negative matrix factorization of signals with overlapping events for event detection applications," in Proc. of IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Mar. 2017. [DOI]
  41. B. J. Ko, J. Ortiz, T. Salonidis, M. Touma, D. Verma, S. Wang, X. Wang, D. Wood, "Demo abstract: acoustic signal processing for anomaly detection in machine room environments," in Proc. of ACM BuildSys 2016. [DOI]
  42. A. Machen, S. Wang, K. K. Leung, B. J. Ko, T. Salonidis, "Poster: migrating running applications across mobile edge clouds," in Proc. of ACM MobiCom 2016. [DOI] [Journal Version]
  43. I.-H. Hou, T. Zhao, S. Wang, K. Chan, "Asymptotically optimal algorithm for online reconfiguration of edge-clouds," in Proc. of ACM MobiHoc 2016 (acceptance rate: 18.7%). [DOI] [Journal Version] [Code]
  44. S. Wang, K. Chan, R. Urgaonkar, T. He, K. K. Leung, "Emulation-based study of dynamic service placement in mobile micro-clouds," in Proc. of IEEE MILCOM 2015, Oct. 2015. [DOI]
  45. R. Urgaonkar, S. Wang, T. He, M. Zafer, K. Chan, K. K. Leung, "Dynamic service migration and workload scheduling in edge-clouds," in Proc. of IFIP Performance 2015, Oct. 2015 (acceptance rate: 28.40%). [DOI]
  46. Y. Yang, S. Wang, Q. Song, L. Guo, A. Jamalipour, "Double auction and negotiation for dynamic resource allocation with elastic demands," in Proc. of IEEE International Symposium on Personal, Indoor and Mobile Radio Communications (PIMRC) 2015, Aug. – Sept. 2015. [DOI]
  47. S. Wang, R. Urgaonkar, K. Chan, T. He, M. Zafer, K. K. Leung, "Dynamic service placement for mobile micro-clouds with predicted future costs," in Proc. of IEEE International Conference on Communications (ICC) 2015, Jun. 2015. [DOI] [Journal Version]
  48. F. Wang, L. Guo, S. Wang, Y. Yu, Q. Song, A. Jamalipour, "Almost as good as single-hop full-duplex: bidirectional end-To-end known interference cancellation," in Proc. of IEEE International Conference on Communications (ICC) 2015, Jun. 2015. [DOI]
  49. S. Wang, R. Urgaonkar, M. Zafer, T. He, K. Chan, K. K. Leung, "Dynamic service migration in mobile edge-clouds," in Proc. of IFIP Networking 2015, May 2015 (acceptance rate: 23.27%). [DOI] [Journal Version] [Code of Journal Version]
  50. S. Wang, R. Urgaonkar, T. He, M. Zafer, K. Chan, K. K. Leung, "Mobility-induced service migration in mobile micro-clouds," in Proc. of IEEE MILCOM 2014, Oct. 2014. [DOI]
  51. L. Zhang, Y. Yu, F. Huang, Q. Song, L. Guo, S. Wang, "Deadline-aware adaptive packet scheduling and transmission in cooperative wireless networks," in Proc. of IEEE International Symposium on Personal, Indoor and Mobile Radio Communications (PIMRC) 2014, Sept. 2014. [DOI]
  52. F. Wang, Q. Song, S. Wang, L. Guo, "Rate and power adaptation for physical-layer network coding with M-QAM modulation," in Proc. of IEEE International Conference on Communications (ICC) 2014, Jun. 2014. [DOI]
  53. S. Wang, L. Le, N. Zahariev, K. K. Leung, "Centralized rate control mechanism for cellular-based vehicular networks," in Proc. of IEEE Global Communications Conference (GLOBECOM) 2013, Dec. 2013. [DOI]
  54. F. Huang, S. Wang, Q. Song, L. Guo, A. Jamalipour, "Joint encoding and node-pair grouping for physical-layer network coding," in Proc. of IEEE Global Communications Conference (GLOBECOM) 2013, Dec. 2013. [DOI]
  55. F. Wang, Q. Song, S. Wang, L. Guo, A. Jamalipour, "MAC protocol supporting physical-layer network coding with overhearing," in Proc. of IEEE Global Communications Conference (GLOBECOM) 2013, Dec. 2013. [DOI]
  56. S. Wang, G.-H. Tu, R. Ganti, T. He, K. K. Leung, H. Tripp, K. Warr, Murtaza Zafer, "Mobile micro-cloud: application classification, mapping, and deployment," in Annual Fall Meeting of the ITA, Oct. 2013.
  57. S. Wang, Q. Song, L. Guo, A. Jamalipour, "Constellation mapping for physical-layer network coding with M-QAM modulation," in Proc. of IEEE Global Communications Conference (GLOBECOM) 2012, Dec. 2012. [DOI]
  58. Y. Huang, Q. Song, S. Wang, A. Jamalipour, "Phase-level synchronization for physical-layer network coding," in Proc. of IEEE Global Communications Conference (GLOBECOM) 2012, Dec. 2012. [DOI]
  59. Y. Huang, Q. Song, S. Wang, A. Jamalipour, "Symbol error rate analysis for M-QAM modulated physical-layer network coding with phase errors," in Proc. of IEEE International Symposium on Personal, Indoor and Mobile Radio Communications (PIMRC) 2012, Sept. 2012. [DOI]
  60. S. Wang, Q. Song, J. Feng, X. Wang, "Predicting the link stability based on link connectivity changes in mobile ad hoc networks," in Proc. of IEEE International Conference on Wireless Communications, Networking and Information Security (WCNIS) 2010, vol. 2, pp. 409 – 414, 2010.
  61. S. Wang, M. Wang, H. Hong, Y. Ma, "Environmental monitoring system based on sensor networks using multi-channel MAC protocol," in Proc. of International Conference on Wireless Communications, Networking and Mobile Computing (WiCOM) 2009, pp. 1 – 4, 2009.
  62. S. Wang, M. Wang, Y. Ma, H. Hong, "Series connected buck-boost type solar power converter based on microcontroller," in Proc. of IEEE International Conference on Mechatronics and Automation (ICMA) 2009, pp. 2642 – 2646, 2009.
  63. S. Wang, Y. He, Z. Liu, H. Wu, "Personalized web based English learning system using artificial neural networks," in Proc. of International Conference on Computer Science & Education (ICCSE) 2009, pp. 1263 – 1268, 2009.
Journals (peer-reviewed, including magazines)
  1. V. Farhadi, F. Mehmeti, T. He, T. La Porta, H. Khamfroush, S. Wang, K. Chan, K. Poularakis, "Service placement and request scheduling for data-intensive applications in edge clouds," IEEE/ACM Transactions on Networking, accepted for publication, Feb. 2021. [DOI]
  2. H. Lu, M.-J. Li, T. He, S. Wang, V. Narayanan, K. Chan, "Robust Coreset Construction for Distributed Machine Learning," IEEE Journal on Selected Areas in Communications, vol. 38, no. 10, Oct. 2020 (acceptance rate of this special issue of the journal: 20.8%). [DOI] [Code]
  3. Y. Lin, T. He, S. Wang, K. Chan, S. Pasteris, "Looking glass of NFV: Inferring the structure and state of NFV network from external observations," IEEE/ACM Transactions on Networking, vol. 28, no. 4, Aug. 2020. [DOI] [Code]
  4. S. Wang, T. Tuor, T. Salonidis, K. K. Leung, C. Makaya, T. He, K. Chan, "Adaptive federated learning in resource constrained edge computing systems," IEEE Journal on Selected Areas in Communications, vol. 37, no. 6, pp. 1205 – 1221, Jun. 2019 (acceptance rate of this special issue of the journal: 13%). [DOI] [Code]
  5. S. Wang, R. Urgaonkar, M. Zafer, T. He, K. Chan, K. K. Leung, "Dynamic service migration in mobile edge computing based on Markov decision process," IEEE/ACM Transactions on Networking, vol. 27, no. 3, pp. 1272 – 1288, Jun. 2019. [DOI] [Code]
  6. T. Zhao, I.-H. Hou, S. Wang, K. Chan, "ReD/LeD: An asymptotically optimal and scalable online algorithm for service caching at the edge," IEEE Journal on Selected Areas in Communications, vol. 36, no. 8, pp. 1857 – 1870, Aug. 2018. [DOI] [Code]
  7. A. Machen, S. Wang, K. K. Leung, B. J. Ko, T. Salonidis, "Live service migration in mobile edge clouds," IEEE Wireless Communications, vol. 25, no. 1, pp. 140 – 147, Feb. 2018. [DOI]
  8. T. He, E. N. Ciftcioglu, S. Wang, K. Chan, "Location privacy in mobile edge clouds: a chaff-based approach," IEEE Journal on Selected Areas in Communications, vol. 35, no. 11, pp. 2625 – 2636, Nov. 2017. [DOI]
  9. S. Wang, R. Urgaonkar, T. He, K. Chan, M. Zafer, K. K. Leung, "Dynamic service placement for mobile micro-clouds with predicted future costs," IEEE Transactions on Parallel and Distributed Systems, vol. 28, no. 4, pp. 1002 – 1016, Apr. 2017. [DOI]
  10. S. Wang, M. Zafer, K. K. Leung, "Online placement of multi-component applications in edge computing environments," IEEE Access, vol. 5, pp. 2514 – 2533, Feb. 2017. [DOI]
  11. F. Wang, L. Guo, S. Wang, Q. Song, A. Jamalipour, "Approaching single-hop performance in multi-hop networks: end-to-end known-interference cancellation (E2E-KIC)," IEEE Transactions on Vehicular Technology, vol. 65, no. 9, pp. 7606 – 7620, Sept. 2016. [DOI]
  12. R. Urgaonkar, S. Wang, T. He, M. Zafer, K. Chan, K. K. Leung, "Dynamic service migration and workload scheduling in edge-clouds," Performance Evaluation, vol. 91, pp. 205 – 228, Sept. 2015 (accepted directly through IFIP Performance 2015). [DOI]
  13. Q. Song, L. Guo, F. Wang, S. Wang, A. Jamalipour, "MAC-centric cross-layer collaboration: a case study on physical-layer network coding," IEEE Wireless Communications, vol. 21, no. 6, pp. 160 – 166, Dec. 2014. [DOI]
  14. Y. Huang, S. Wang, Q. Song, L. Guo, A. Jamalipour, "Synchronous physical-layer network coding: a feasibility study," IEEE Transactions on Wireless Communications, vol. 12, no. 8, pp. 4048 – 4057, Aug. 2013. [DOI]
  15. S. Wang, Q. Song, X. Wang, A. Jamalipour, "Distributed MAC protocol supporting physical-layer network coding," IEEE Transactions on Mobile Computing, vol. 12, no. 5, pp. 1023 – 1036, May 2013. [DOI]
  16. F. Wang, S. Wang, Q. Song, L. Guo, "Adaptive relaying method selection for multi-rate wireless networks with network coding," IEEE Communications Letters, vol. 16, no. 12, pp. 2004 – 2007, Dec. 2012. [DOI]
  17. Q. Song, Z. Ning, S. Wang, A. Jamalipour, "Link stability estimation based on link connectivity changes in mobile ad-hoc networks," Journal of Network and Computer Applications, vol. 35, no. 6, pp. 2051 – 2058, Nov. 2012. [DOI]
  18. S. Wang, Q. Song, X. Wang, A. Jamalipour, "Rate and power adaptation for analog network coding," IEEE Transactions on Vehicular Technology, vol. 60, no. 5, pp. 2302 – 2313, June 2011. [DOI]
Patents

Note: Only published patent applications and granted patents are listed. Some items list inventors in alphabetical order (by last name or first name).

  1. P. Novotny, S. Wang, Q. Zhang, V. Ramakrishna. Optimization of delivery of blocks, US20200374340A1, US20200374343A1, May 2019, filed.
  2. C. Liu, S. Wang, W.-H. Lee, S. B. Calo. Leveraging correlation across agents for enhanced distributed machine learning, US20200372380A1, May 2019, filed.
  3. M. Srivatsa, S. Wang, J. M. Rosenkranz, S. Chakraborty, B. J. Ko. Determining value of corpora for machine learning using coresets, US20200364613A1, May 2019, filed.
  4. S. Wang, I. L. M. Gutierrez, B. J. Ko, K. W. Grueneberg. User adapted data presentation for data labeling, US20200118042A1, Oct. 2018, filed.
  5. S. Wang, T. Salonidis. Collaborative distributed machine learning, US20200050951A1, Aug. 2018, filed.
  6. S. Wang, T. Tuor, T. Salonidis, C. Makaya, B. J. Ko. Distributed machine learning at edge nodes, US20190318268A1, Apr. 2018, filed.
  7. S. Rallapalli, M. Srivatsa, S. Wang. Method and apparatus for combining independently evolved neural networks in a distributed environment, US20190130261A1, Oct. 2017, filed.
  8. M. S. Beigi, S. B. Calo, D. C. Verma, S. Wang, D. A. Wood. Flexible and self-adaptive classification of received audio measurements in a network environment, US10121109B2, Apr. 2017, granted.
  9. L. Le, N. Zahariev, S. Wang. Adaptive rate control for cellular-based vehicular networks, US10044589B2, Jan. 2013, granted.
Thesis
  1. S. Wang, Dynamic service placement in mobile micro-clouds, Ph.D. Thesis, Imperial College London, 2015.
Technical Reports
  1. T. Inoue, P. Vinayavekhin, S. Morikuni, S. Wang, T. H. Trong, D. Wood, M. Tatsubori, R. Tachibana, "Detection of anomalous sounds for machine condition monitoring using classification confidence," in Detection and Classification of Acoustic Scenes and Events (DCASE) Challenge 2020, Jun. 2020 (ranked 4th out of 40 teams in DCASE Challenge 2020, Task 2).
  2. A. Imteaj, U. Thakker, S. Wang, J. Li, M. H. Amini, "Federated learning for resource-constrained IoT devices: Panoramas and state-of-the-art", Feb. 2020.
  3. J. Park, S. Wang, A. Elgabli, S. Oh, E. Jeong, H. Cha, H. Kim, S.-L. Kim, M. Bennis, "Distilling on-device intelligence at the network edge", Aug. 2019.
  4. T. Inoue, P. Vinayavekhin, S. Wang, D. Wood, N. Greco, R. Tachibana, "Domestic activities classification based on CNN using shuffling and mixing data augmentation," in Detection and Classification of Acoustic Scenes and Events (DCASE) Challenge 2018, Sept. 2018 (ranked number one in DCASE Challenge 2018, Task 5).
  5. S. Wang, Q. Song, K. Wu, F. Wang, L. Guo, "End-to-End Known-Interference Cancellation (E2E-KIC) with Multi-Hop Interference," Mar. 2016.
  6. F. Wang, L. Guo, S. Wang, Q. Song, A. Jamalipour, "Approaching single-hop performance in multi-hop networks: end-to-end known-interference cancellation (E2E-KIC) – long version," Sept. 2015.
  7. S. Wang, R. Urgaonkar, M. Zafer, T. He, K. Chan, K. K. Leung, "Supplementary materials for dynamic service migration in mobile edge-clouds," Mar. 2015.

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Awards

(Selected)

  • IBM Outstanding Technical Achievement Award (OTAA) in 2019
  • Best Paper Finalist of the IEEE International Conference on Image Processing (ICIP) 2019
  • Exemplary Reviewer (top 2%) of the IEEE Transactions on Communications in 2017
  • Multiple IBM Invention Achievement Awards in 2016 – 2020
  • Best Student Paper Award of Network and Information Sciences International Technology Alliance (NIS ITA) in 2015

Services

National Science Foundation (NSF) Panelist (Reviewer for grant proposals submitted to the NSF)

Workshop Organization

  • Co-Chair of the 2nd Workshop on Edge Machine Learning for 5G Mobile Networks and Beyond at IEEE ICC 2021
  • Chair (Lead) of AIChallengeIoT’20 – 2nd International Workshop on Challenges in Artificial Intelligence and Machine Learning for Internet of Things at ACM SenSys 2020
  • Chair (Lead) of FL-ICML'20 – International Workshop on Federated Learning for User Privacy and Data Confidentiality at ICML 2020
  • Chair (Lead) of AIChallengeIoT’19 – 1st International Workshop on Challenges in Artificial Intelligence and Machine Learning for Internet of Things at ACM SenSys 2019
  • General Co-Chair of FL-IJCAI'19 – International Workshop on Federated Learning for User Privacy and Data Confidentiality at IJCAI 2019

Technical Program Committee (TPC) Member

  • International Conference on Machine Learning (ICML) 2021
  • IEEE International Conference on Distributed Computing Systems (ICDCS) 2021, 2019
  • International Conference on Artificial Intelligence and Statistics (AISTATS) 2020
  • International Joint Conference on Artificial Intelligence (IJCAI) 2020
  • IFIP Networking 2021, 2020, 2019
  • IEEE International Conference on Communications (ICC) 2021, 2020, 2019
  • IEEE Global Communications Conference (Globecom) 2019, 2018, 2017, 2016

Associate Editor

  • IEEE Transactions on Mobile Computing (2021 – now)
  • IEEE Access (2017 – 2020)

Journal Reviewer for IEEE Journal on Selected Areas in Communications, IEEE Transactions on Cloud Computing, IEEE Transactions on Communications, IEEE Transactions on Mobile Computing, IEEE Transactions on Network Science and Engineering, IEEE/ACM Transactions on Networking, IEEE Transactions on Neural Networks and Learning Systems, IEEE Transactions on Parallel and Distributed Systems, IEEE Transactions on Signal Processing, IEEE Transactions on Vehicular Technology, IEEE Transactions on Wireless Communications, Nature Computational Science, Proceedings of the IEEE, etc.