Monitoring Access to User Defined Areas with Multi-Agent Team in Urban Environments. - Manas Gupta; Ming C. Lin; Dinesh Manocha; Huan Xu 002; Michael W. Otte (MRS, 2019)

Learning to Prune Deep Neural Networks via Reinforcement Learning. - Manas Gupta; Siddharth Aravindan; Aleksandra Kalisz; Vijay Chandrasekhar 001; Jie Lin 001 (CoRR, 2020)

Speech Emotion Recognition Using MFCC and Wide Residual Network. - Manas Gupta; Satish Chandra 003 (IC3, 2021)

HebbNet: A Simplified Hebbian Learning Framework to do Biologically Plausible Learning. - Manas Gupta; Arulmurugan Ambikapathi; Savitha Ramasamy (ICASSP, 2021)

Romadoro: Leveraging Nudge Techniques to Encourage Break-Taking. - Katarina Jurczyk; Christopher You; Mahsan Nourani; Manas Gupta; Lisa Anthony; Benjamin Lok (UIST (Adjunct Volume), 2021)

Investigating Robustness of Biological vs. Backprop Based Learning. - Yanpeng Zhou; Maosen Wang; Manas Gupta; Arulmurugan Ambikapathi; Ponnuthurai Nagaratnam Suganthan; Savitha Ramasamy (ICASSP, 2022)

PaRT: Parallel Learning Towards Robust and Transparent AI. - Mahsa Paknezhad; Hamsawardhini Rengarajan; Chenghao Yuan; Sujanya Suresh; Manas Gupta; Savitha Ramasamy; Hwee Kuan Lee (CoRR, 2022)

Is Complexity Required for Neural Network Pruning? A Case Study on Global Magnitude Pruning. - Manas Gupta; Efe Camci; Vishandi Rudy Keneta; Abhishek Vaidyanathan; Ritwik Kanodia; Chuan-Sheng Foo; Min Wu 008; Jie Lin 001 (CoRR, 2022)

Is Bio-Inspired Learning Better than Backprop? Benchmarking Bio Learning vs. Backprop. - Manas Gupta; Sarthak Ketanbhai Modi; Hang Zhang; Joon Hei Lee; Joo Hwee Lim (CoRR, 2022)

QLP: Deep Q-Learning for Pruning Deep Neural Networks. - Efe Camci; Manas Gupta; Min Wu 008; Jie Lin 001 (IEEE Trans. Circuits Syst. Video Technol., 2022)

Towards Explainable Recommendation Via Bert-Guided Explanation Generator. - Huijing Zhan; Ling Li 012; Shaohua Li; Weide Liu; Manas Gupta; Alex C. Kot (ICASSP, 2023)

Dynamic Facial Expression Recognition through Partial Label Learning and Federated Learning. - Mohammad Alif Daffa; Manas Gupta; Hao Chen; Cheryl Sze Yin Wong (ICCE, 2023)

Student Engagement Detection: Case Study on Using Peer-to-Peer Emotion Comparison with Context Regularization. - Geyu Lin; Manas Gupta; Cheryl Sze Yin Wong; Huayun Zhang (ICCE, 2023)

Resource Efficient Neural Networks Using Hessian Based Pruning. - Jack Chong; Manas Gupta; Lihui Chen (CoRR, 2023)

Improving transparency and representational generalizability through parallel continual learning. - Mahsa Paknezhad; Hamsawardhini Rengarajan; Chenghao Yuan; Sujanya Suresh; Manas Gupta; Savitha Ramasamy; Hwee Kuan Lee (Neural Networks, 2023)

From Algorithm to Hardware: A Survey on Efficient and Safe Deployment of Deep Neural Networks. - Xue Geng; Zhe Wang 019; Chunyun Chen; Qing Xu 015; Kaixin Xu; Chao Jin 002; Manas Gupta; Xulei Yang; Zhenghua Chen; Mohamed M. Sabry Aly; Jie Lin 001; Min Wu 008; et al. (CoRR, 2024)

Memory Networks: Towards Fully Biologically Plausible Learning. - Jacobo Ruiz; Manas Gupta (CoRR, 2024)

T-CBF: Traversability-based Control Barrier Function to Navigate Vertically Challenging Terrain. - Manas Gupta; Xuesu Xiao (CoRR, 2025)

From Algorithm to Hardware: A Survey on Efficient and Safe Deployment of Deep Neural Networks. - Xue Geng; Zhe Wang 019; Chunyun Chen; Qing Xu 015; Kaixin Xu; Jin Chao; Manas Gupta; Xulei Yang; Zhenghua Chen; Mohamed M. Sabry Aly; Jie Lin 001; Min Wu 008; et al. (IEEE Trans. Neural Networks Learn. Syst., 2025)