Contrasting Cases Enhance Transfer of Physics Knowledge from an Engineering Design Task. - Catherine C. Chase; Laura J. Malkiewich; Aakash Kumar (CogSci, 2018)

Using Feature Entropy to Guide Filter Pruning for Efficient Convolutional Networks. - Yun Li; Luyang Wang; Sifan Peng; Aakash Kumar; Baoqun Yin (ICANN (2), 2019)

Pruning filters with L1-norm and capped L1-norm for CNN compression. - Aakash Kumar; Ali Muhammad Shaikh; Yun Li; Hazrat Bilal; Baoqun Yin (Appl. Intell., 2021)

PC-DAN: Point Cloud based Deep Affinity Network for 3D Multi-Object Tracking (Accepted as an extended abstract in JRDB-ACT Workshop at CVPR21). - Aakash Kumar; Jyoti Kini; Mubarak Shah; Ajmal Mian (CoRR, 2021)

Depth and edge auxiliary learning for still image crowd density estimation. - Sifan Peng; Baoqun Yin; Xiaoliang Hao; Qianqian Yang; Aakash Kumar; Luyang Wang (Pattern Anal. Appl., 2021)

Self Supervised Learning for Multiple Object Tracking in 3D Point Clouds. - Aakash Kumar; Jyoti Kini; Ajmal Mian; Mubarak Shah (IROS, 2022)

Evaluation of Assocation Rule-based Routing Protocol for OppNet. - Renu Dalal; Manju Khari; Aakash Kumar; Deepak Kumar Sharma (Mechatron. Syst. Control., 2022)

Applying adversarial networks to increase the data efficiency and reliability of Self-Driving Cars. - Aakash Kumar (CoRR, 2022)

CorrNet: pearson correlation based pruning for efficient convolutional neural networks. - Aakash Kumar; Baoqun Yin; Ali Muhammad Shaikh; Munawar Ali; Wenyue Wei (Int. J. Mach. Learn. Cybern., 2022)

Jerk-bounded trajectory planning for rotary flexible joint manipulator: an experimental approach. - Hazrat Bilal; Baoqun Yin; Aakash Kumar; Munawar Ali; Jing Zhang 015; Jinfa Yao (Soft Comput., 2023)

FMIP: Feature Map Importance Pruning for Efficient CNN Optimization. - Ali Muhammad Shaikh; Yunbo Zhao; Yu Kang 001; Aakash Kumar (ACAI, 2024)

Sparse Points to Dense Clouds: Enhancing 3D Detection with Limited LiDAR Data. - Aakash Kumar; Chen Chen 001; Ajmal Mian; Neils Lobo; Mubarak Shah (IROS, 2024)

Revealing the impact of synthetic native samples and multi-tasking strategies in Hindi-English code-mixed humour and sarcasm detection. - Debajyoti Mazumder; Aakash Kumar; Jasabanta Patro (CoRR, 2024)

Advanced efficient strategy for detection of dark objects based on spiking network with multi-box detection. - Munawar Ali; Baoqun Yin; Hazrat Bilal; Aakash Kumar; Ali Muhammad Shaikh; Avinash Rohra (Multim. Tools Appl., 2024)

Efficient Bayesian CNN Model Compression using Bayes by Backprop and L1-Norm Regularization. - Ali Muhammad Shaikh; Yun-Bo Zhao; Aakash Kumar; Munawar Ali; Yu Kang 001 (Neural Process. Lett., 2024)

Building on prior lightweight CNN model combined with LSTM-AM framework to guide fault detection in fixed-wing UAVs. - Aakash Kumar; Shifeng Wang; Ali Muhammad Shaikh; Hazrat Bilal; Bo Lu; Shigeng Song (Int. J. Mach. Learn. Cybern., 2024)

Multi-modal brain image fusion using multi feature guided fusion network. - Tom Michael Shibu; Niranjan Madan; Nirmala Paramanandham; Aakash Kumar; Ashwin Santosh (Biomed. Signal Process. Control., 2025)

DSQN: Robust path planning of mobile robot based on deep spiking Q-network. - Aakash Kumar; Lei Zhang; Hazrat Bilal; Shifeng Wang; Ali Muhammad Shaikh; Bo Lu; Avinash Rohra; Alisha Khalid (Neurocomputing, 2025)

MSFFNet: multi-scale feature fusion network with semantic optimization for crowd counting. - Avinash Rohra; Baoqun Yin; Hazrat Bilal; Aakash Kumar; Munawar Ali; Yang Li (Pattern Anal. Appl., 2025)

Improving Code-Mixed Hate Detection by Native Sample Mixing: A Case Study for Hindi-English Code-Mixed Scenario. - Debajyoti Mazumder; Aakash Kumar; Jasabanta Patro (ACM Trans. Asian Low Resour. Lang. Inf. Process., 2025)