Divya Saxena

Divya Saxena

Research Assistant Professor

Department of Computing

The Hong Kong Polytechnic University

Address: Hung Hom, Kowloon, Hong Kong

Office: PQ740, Mong Man Wai Building

Office No.: (852) 2766 4547

Fax No.: (852) 2774 0842 

Email: divya.saxena@polyu.edu.hk / divsaxen@comp.polyu.edu.hk

Google Scholar 

ORCID ID: 0000-0002-6847-585X

Scopus Author ID: 58632319500

I am currently working as a Research Assistant Professor in the Department of Computing (COMP), The Hong Kong Polytechnic University (PolyU). Prior to that, I worked as a Research Fellow and Postdoctoral Fellow with the Department of Computing and UBDA at PolyU, under the supervision of Prof. Jiannong Cao, from Feb. 2018 to August 2021. I earned Ph.D. degree in Computer Science and Engineering from the Indian Institute of Technology (IIT), Roorkee in Sep. 2017.

Research Interests

Generative Adversarial Networks, Generative AI, Continual Learning, Spatio-temporal Data Mining

Recruitment

I am looking for strongly motivated Research Assistants (full-time/part-time) for deep learning related research. Please feel free to contact me with your CV for more information.

News

1. "RG-GAN: Dynamic Regenerative Pruning for Data-Efficient Generative Adversarial Networks" has been accepted in the 38th AAAI Conference on Artificial Intelligence (AAAI-24). 

2. "AdaptCL: Adaptive Continual Learning for Tackling Heterogeneity in Sequential Datasets,” accepted in IEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2023.

3. "Channel Estimation for Intelligent Reflecting Surface aided Communication via Graph Transformer,” accepted in IEEE Transactions on Green Communications and Networking (TGCN), 2023.

4. "Re-GAN: Data-Efficient GANs training Via Architectural Reconfiguration" has been accepted in the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2023

5. "Unsupervised LoS/NLoS Identification in MmWave Communication using Two-stage Machine Learning Framework", has been accepted in Elsevier Physical Communication, 2023.

Publications

Journal

1. [TNNLS IEEE] Y. Zhao, D. Saxena, J. Cao, “AdaptCL: Adaptive Continual Learning for Tackling Heterogeneity in Sequential Datasets,” accepted in IEEE Transactions on Neural Networks and Learning Systems, 2023.

2. [TGCN IEEE] S. Singh, A. Trivedi, D. Saxena, “Channel Estimation for Intelligent Reflecting Surface aided Communication via Graph Transformer,” accepted in IEEE Transactions on Green Communications and Networking, 2023.

3. [PHYCOM Elsevier] S. Singh, A. Trivedi, D. Saxena, "Unsupervised LoS/NLoS Identification in MmWave Communication using Two-stage Machine Learning Framework", has been accepted in Elsevier Physical Communication, 2023.

4. [TIP IEEE] D. Saxena, T. Kulshrestha, J. Cao, S-C Cheung, “Multi-Constraint Adversarial Networks for Unsupervised Image-to-Image Translation”, accepted in IEEE Transactions on Image Processing (TIP), 2021.

5. [JNCA Elsevier] H. Gauttam, K.K. Pattanaik, S. Bhadauria, and D. Saxena, "A cost aware topology formation scheme for latency sensitive applications in edge infrastructure-as-a-service paradigm." Journal of Network and Computer Applications, 2021.

6. [TIST ACM] D. Saxena, J. Cao, “Multimodal Spatio-Temporal Prediction with Stochastic Adversarial Networks”, accepted in ACM Transactions on Intelligent Systems and Technology, 2021

7. [CSUR ACM] D. Saxena, J. Cao, “Generative Adversarial Networks (GANs): Challenges, Solutions, and Future Directions”, ACM Computing Survey, Vol. 54(3), pp. 1-42, 2021.

8. [TOSN ACM] R. K. Verma, K. K. Pattanaik, S. Bharti, D. Saxena, J. Cao, “A Query Processing Framework for Efficient Network Resource Utilization in Shared Sensor Networks, ACM Transactions on Sensor Networks (TOSN), Vol. 16(4), pp. 1-28, 2020.

9. [TMC IEEE] T. Kulshrestha, D. Saxena, R. Niyogi, J. Cao, “Real-time Crowd Monitoring using Seamless Indoor-Outdoor Localization”, IEEE Transactions on Mobile Computing, Vol. 19(3), pp. 1-16, 2019.

10. [JNCA Elsevier] R. Verma, K.K. Patnaik, S. Bharti, D. Saxena, “In-network Context Inference in IoT Sensory Environment for Efficient Network Resource Utilization,” Elsevier Journal of Network and Computer Applications, Vol. 130, pp. 89-103, 2019.

11. [JNCA Elsevier] T. Kulshrestha, D. Saxena, R. Niyogi, V. Raychoudhury, M. Misra, “SmartITS: Smartphone-based Identification and Tracking using Seamless Indoor-Outdoor Localization,” Elsevier Journal of Network and Computer Applications, Vol. 98, pp. 97-113, Nov 2017.

12. [TSMC IEEE] D. Saxena and V. Raychoudhury, “Design and Verification of an NDN-based Safety-critical Application: A Case Study with Smart Healthcare,” IEEE Transactions on Systems, Man, and Cybernetics: Systems, Vol. 49(5), pp. 991-1005, 2017.

13. [JNCA Elsevier] D. Saxena and V. Raychoudhury, “N-FIB: Scalable, Memory Efficient Name-based forwarding,” Elsevier Journal of Network and Computer Applications, Vol. 76, pp. 101-109, September 2016.

14. [JNCA Elsevier] D. Saxena, V. Raychoudhury, “Radient: Scalable, Memory Efficient Name Lookup Algorithm for Named Data Networking," Elsevier Journal of Network and Computer Applications, Vol. 63, pp. 1-13, March 2016.

15. [Computer Science Review Elsevier] D. Saxena, V. Raychoudhury, N. Suri, C. Becker, J. Cao, “Named Data Networking: A Survey,” Elsevier Computer Science Review, Vol. 19, pp. 15-55, January 2016.

Conference

1. [AAAI'24] D. Saxena, J. Cao, J. Xu, T. Kulshrestha "RG-GAN: Dynamic Regenerative Pruning for Data-Efficient Generative Adversarial Networks" accepted in the 38th AAAI Conference on Artificial Intelligence (AAAI), 2024. 

2. [CVPR' 23] D. Saxena, J. Cao, J. Xu, T. Kulshrestha "Re-GAN: Data-Efficient GANs training Via Architectural Reconfiguration", In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), pp. 16230-16240. 2023.

3. [MASS’ 20] D. Saxena, V. Raychoudhury “Scalable, Memory-efficient Pending Interest Table of Named Data Networking”, In 17th IEEE International Conference on Mobile Ad Hoc and Sensor Systems (MASS), Roorkee, India, Dec., 10-13, 2020.

4. [ISPA’ 19] T. Kulshrestha, D. Saxena, R. Niyogi “A Learning Based Human Interaction Modeling Using Mobile Sensing”, In 17th IEEE International Conf. on Parallel & Distributed Proc. with Applications, Xiamen, China, Dec., 16-19, 2019.

5. [ICDCN’ 19] D. Saxena, S. Mahar, V. Raychoudhury, J. Cao, “Scalable, High-speed On-chip based NDN Name Forwarding using FPGA,” In Proceedings of 20th ACM International Conference on Distributed Computing and Networking (ICDCN), Bangalore, India, Jan., 4-7 2019.

6. [ITSC’ 18] K. Bathala, V. Raychoudhury, D. Saxena, A. Kshemkalyani, “Real Time Distributed Taxi Ride Sharing,” In Proceedings of 21st IEEE Intelligent Transportation Systems (ITSC), Maui, Hawaii, November 4-7, 2018.

7. [ITSC’ 18] A. Agrawal, V. Raychoudhury, D. Saxena, A. Kshemkalyani, “Efficient Taxi and Passenger Searching in Smart City using Distributed Coordination,” In Proceedings of 21st IEEE Intelligent Transportation Systems (ITSC), Maui, Hawaii, November 4-7, 2018.

8. [PerCom PerAwareCity’ 18] V. Kapoor, D. Saxena, V. Raychoudhury, and S. Kumar, “Real Time Building and Maintaining Causal Congestion Graph for Intelligent Traffic Management,” In Proceedings of 3rd IEEE PerCom PerAwareCity, Athens, Greece, March 19-23, 2018.

9. [EUC’ 17] T. Kulshrestha, D. Saxena, R. Niyogi, D. Patel and M. Misra “An Improved Smartphone-based Non-Participatory Crowd Monitoring System in Smart Environments,” in 15th IEEE/IFIP International Conference on Embedded and Ubiquitous Computing, July 22-23, 2017, Guangzhou, China.

10. [ICDCN’ 17] D. Saxena, V. Raychoudhury, and C. Becker “Implementation and Performance Evaluation of Name based Forwarding Schemes in V-NDN,” In Proceedings of 18th ACM International Conference on Distributed Computing and Networking, pp. 35-38, January 4-7, 2017, Hyderabad, India.

11. [ICDCN’ 17] D. Saxena, V. Raychoudhury, and C. Becker “An NDNoT based Efficient Object Searching Scheme for Smart Home using RFIDs,” In Proceedings of 18th ACM International Conference on Distributed Computing and Networking, pp. 29-34, January 4-7, 2017, Hyderabad, India.

12. [EUC’ 16] (Invited paper) D. Saxena, V. Raychoudhury, C. Becker and N. Suri. “Reliable Memory Efficient Name Forwarding in Named Data Networking,” In Proc. of 14th IEEE/IFIP International Conference on Embedded and Ubiquitous Computing, 2016, Paris, France.

13. [MobiHoc MobileHealth’ 15] D. Saxena, V. Raychoudhury, and N. SriMahathi, "SmartHealth-NDNoT: Named Data Network of Things for Healthcare Services," In Proceedings of the ACM International Workshop on Pervasive Wireless Healthcare, pp. 45-50, June 22-25, 2015, Hangzhou, China.

14. [COMSNETS Social Networking’ 15] V. Raychoudhury, D. Saxena, M. Chaudhary, S. Mangla, “Shahbag Movement: The Tweeted Perspective,” In Proceedings of the 7th ACM International Workshop on Communication Systems and Networks-Social networking, January 6-10, 2015, Bangalore, India.

15. [EAIT’ 12] D. Saxena, A. Trivedi, and T. Kulshrestha, “An Advanced uplink scheduling at Subscriber Station for real time services in WiMAX," In Proceedings of the 3rd IEEE International Conference on Emerging Applications of Information Technology, ISI, Kolkata, India.

Teaching

• COMP 1011 Programming Fundamentals, 2021 []

• COMP 3438 System Programming, 2022, 2023 []

Professional Services

Reviewer

• IEEE Transactions on Neural Networks and Learning Systems (TNNLS)

• IEEE Transactions on Mobile Computing (TMC)

• ACM TIST

• IEEE TKDE

• ACM Computing Surveys (CSUR)

• IEEE Transactions on Systems, Man and Cybernetics (TSMC)

• IEEE Internet of Things (IoTJ)

• IEEE Communications Surveys & Tutorials

• IEEE Communications Magazine

• Elsevier - Journal of Network and Computer Applications (JNCA)

• Elsevier – Pervasive and Mobile Computing (PMC)

© Copyright 2023 Divya Saxena. Last updated: Dec 15, 2023.