Papers
- X. Liu, D. Saxena, J. Cao, Y. Zhao, P. Ruan, MG-DARTS: Multi-Granularity Differentiable Architecture Search for Trade-Off Between Model Effectiveness and Efficiency" accepted in IEEE Transactions on Neural Networks and Learning Systems (TNNLS).
- Y. Li, J. Cao, P. Ruan, D. Saxena, S. Zhu and Y. Cao, Geometry-Consistent 4D Gaussian Splatting for Sparse-Input Dynamic View Synthesis, IEEE Annual Congress on Artificial Intelligence of Things 2025 (IEEE AIoT 2025).
- J. Zheng, D. Saxena, J. Cao, COIN-GNN: Inductive Spatial-Temporal Prediction for Continuous Distribution Shifts via Graph Neural Networks, IEEE Transactions on Knowledge and Data Engineering (TKDE), 2025.
- D. Saxena, J. Cao, J. Xu, T. Kulshrestha, Re-GAN: Data-Efficient GANs training Via Architectural Reconfiguration, IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2025.
- D. Saxena, J. Cao, J. Xu, T. Kulshrestha, Y. Zhao, Dynamic Generative Adaptation for Data-Efficient GAN, International Joint Conference on Neural Networks (IJCNN 2025), Rome, Italy, 30 June–05 July 2025.
- D. Saxena, J. Cao, J. Xu, T. Kulshrestha, Data-Efficient Alignment in Medical Imaging via Reconfigurable Generative Networks, IEEE/CVF Winter Conference on Applications of Computer Vision (WACV 2025), Tucson, Arizona.
- D. Saxena, T. Kulshrestha, LS-GAN: Layer-Specific Pruning for Data-Efficient Generative Adversarial Networks, 9th International Conference on Information System Design & Intelligent Applications (ISDIA-2025), UOWD, Dubai, 03–04 Jan 2025 [Best Paper Award]
- S. Singh, A. Trivedi, D. Saxena, Channel Estimation for IRS-aided OTFS System using Dilated Attention GAN, Wiley Transactions on Emerging Telecommunications Technologies, 2025.
- P. Ruan, P. Wang, D. Saxena, J. Cao, Y. Shi, Enhancing Motion in Text-to-Video Generation with Decomposed Encoding and Conditioning, Neural Information Processing Systems (NeurIPS 2024), Vancouver, 09–15 Dec 2024.
- D. Saxena, J. Cao, J. Xu, T. Kulshrestha, Rg-gan: Dynamic regenerative pruning for data-efficient generative adversarial networks. In Proceedings of the AAAI conference on artificial intelligence, 2024.
- P. Ruan, D. Saxena, J. Cao, X. Liu, R. Wang, C.F. Cheung, NASPrecision: Neural Architecture Search-Driven Multi-Stage Learning for Surface Roughness Prediction in Ultra-Precision Machining, Expert Systems with Applications (ESWA), 2024.
- S. Singh, P. Sharma, A. Trivedi, M.K. Shukla, D. Saxena, Refining Channel Estimation in IRS-Assisted Communication via Diffusion Model, IEEE 8th Conference on Information and Communication Technology (CICT), 2024.
- J. Zheng, D. Saxena, J. Cao, H. Yang, P. Ruan, Inductive Spatial Temporal Prediction Under Data Drift with Informative Graph Neural Network, International Conference on Database Systems for Advanced Applications (DASFAA 2024).
- Z. Liang, J. Cao, S. Jiang, D. Saxena, R. Cao, H. Xu, From Agents to Robots: A Training and Evaluation Platform for Multi-robot Reinforcement Learning, 30th IEEE International Conference on Parallel and Distributed Systems (ICPADS), 2024.
- S. Singh, A. Trivedi, D. Saxena, Generative channel estimation for intelligent reflecting surface-aided wireless communication, Springer Wireless Networks, 2024.
- Y. Zhao, D. Saxena, J. Cao, AdaptCL: Adaptive Continual Learning for Tackling Heterogeneity in Sequential Datasets, IEEE Transactions on Neural Networks and Learning Systems, 2023.
- S. Singh, A. Trivedi, D. Saxena, Unsupervised LoS/NLoS identification in mmWave communication using two-stage machine learning framework, Physical Communication, 59(3), 2023.
- S. Singh, A. Trivedi, D. Saxena, Channel Estimation for Intelligent Reflecting Surface aided Communication via Graph Transformer, IEEE Transactions on Green Communications and Networking, 2023.
- D. Saxena, J. Cao, J. Xu, T. Kulshrestha, Re-GAN: Data-Efficient GANs Training via Architectural Reconfiguration, 34th IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), Vancouver, June 2023.
- S. Singh, A. Trivedi, D. Saxena, Channel Estimation in IRS-Assisted OTFS Communication via Residual Attention Network, IEEE 7th Conference on Information and Communication Technology (CICT), 2023.
- J. Zhu, J. Cao, D. Saxena, S. Jiang, H. Ferradi, Blockchain-empowered Federated Learning: Challenges, Solutions, and Future Directions, ACM Computing Surveys, 2022.
- D. Saxena, T. Kulshrestha, J. Cao, S-C Cheung, Multi-Constraint Adversarial Networks for Unsupervised Image-to-Image Translation, IEEE Transactions on Image Processing, 2022.
- D. Saxena, J. Cao, Multimodal Spatio-Temporal Prediction with Stochastic Adversarial Networks, ACM Transactions on Intelligent Systems and Technology, Vol. 13(2), 2022.
- Y. Zhao, D. Saxena, J. Cao, Memory-Efficient Domain Incremental Learning for Internet of Things, 4th Workshop on Continual and Multimodal Learning for IoT, Sensys, Boston, USA, Nov 2022.
- Z. Liang, J. Cao, S. Jiang, D. Saxena, H. Xu, Hierarchical Reinforcement Learning with Opponent Modeling for Distributed Multi-agent Cooperation, 42nd IEEE International Conference on Distributed Computing Systems (ICDCS), 2022.
- D. Saxena, J. Cao, Generative Adversarial Networks (GANs): Challenges, Solutions, and Future Directions, ACM Computing Survey, Vol. 54(3), 2021.
Patents
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A method and system for detecting food freshness, Hong Kong Patent, 2024.
Technical Reports
- Y. Zhao, D. Saxena, J. Cao, X. Liu, C. Song, SparseGrow: Addressing Growth-Induced Forgetting in Task-Agnostic Continual Learning, arXiv:2408.10566, 2024
- C. Song, D. Saxena, J. Cao, Y. Zhao, FedDistill: Global Model Distillation for Local Model De-Biasing in Non-IID Federated Learning, arXiv:2404.09210, 2024
- X. Liu, D. Saxena, J. Cao, Y. Zhao, P. Ruan, MGAS: Multi-Granularity Architecture Search for Trade-Off Between Model Effectiveness and Efficiency, arXiv:2310.15074, 2023
- H. Ferradi, J. Cao, S. Jiang, Y. Cao, D. Saxena, Security and Privacy in Big Data Sharing: State-of-the-Art and Research Directions, arXiv:2210.09230, 2022
- R. Kabra, D. Saxena, D. Patel, J. Cao, Time Series Clustering for Human Behavior Pattern Mining, arXiv:2110.07549, 2021
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