Bobin Deng - RankMe

40 papers A* 1A 1B 9C 5Journal 12Unranked 11

Year	Rank	Type	Title / Venue / Authors
2026	—	`conf`	AgriSentinel: Privacy-Enhanced Embedded-LLM Crop Disease Alerting System. HICSS Chanti Raju Mylay, Bobin Deng, Taeyoeng Choi, Zhipeng Cai, Honghui Xu
2025	—	`conf`	A Sparsity Predicting Approach for Large Language Models via Activation Pattern Clustering. Euro-Par (1) Nobel Dhar, Bobin Deng, Md. Romyull Islam, Xinyue Zhang, Kazi Fahim Ahmad Nasif, Kun Suo
2025	J	`jnl`	A Sparsity Predicting Approach for Large Language Models via Activation Pattern Clustering. CoRR Nobel Dhar, Bobin Deng, Md. Romyull Islam, Xinyue Zhang, Kazi Fahim Ahmad Nasif, Kun Suo
2025	B	`conf`	AccelMD: A Self-Adaptive AI-Enabled Framework for Accelerating Molecular Dynamics Simulations. ICTAI Kazi Fahim Ahmad Nasif, Bobin Deng, Lingtao Chen, Yixin Xie, Shaolei Teng, Jiang Li, Liang Zhao, Syed Md Shamsul Alam, Nobel Dhar, Kun Suo, Dan Chia-Tien Lo
2025	J	`jnl`	AgriSentinel: Privacy-Enhanced Embedded-LLM Crop Disease Alerting System. CoRR Chanti Raju Mylay, Bobin Deng, Zhipeng Cai, Honghui Xu
2025	C	`conf`	Assessing and Visualizing Completeness, Co-Coverage, and Scalability in Multivariate Time-Series Data. IPCCC Long Vu, Madeline Frank, Honghui Xu, Sisi Chen, Tu N. Nguyen, Selena He, Bobin Deng, Kun Suo
2025	B	`conf`	Automatic Molecular Dynamics Simulation with Binding Affinity Prediction Using Deep Learning. ICTAI Lingtao Chen, Kazi Fahim Ahmad Nasif, Ming Yang, Shuteng Niu, Bobin Deng, Yixin Xie
2025	B	`conf`	Characterizing and Understanding Energy Footprint and Efficiency of Small Language Model on Edges. MASS Md. Romyull Islam, Bobin Deng, Nobel Dhar, Tu N. Nguyen, Selena He, Yong Shi, Kun Suo
2025	J	`jnl`	Characterizing and Understanding Energy Footprint and Efficiency of Small Language Model on Edges. CoRR Md Romyull Islam, Bobin Deng, Nobel Dhar, Tu N. Nguyen, Selena He, Yong Shi, Kun Suo
2025	B	`conf`	FL-SNNs: Benchmarking the Byzantine-Robustness of Uniquely-Shaped Surrogate Gradients. MASS Manh V. Nguyen, Liang Zhao, Bobin Deng, Shaoen Wu
2025	B	`conf`	Multimodal Deep Learning for Alzheimer's Disease Classification: A Practical Fusion Framework for Clinical Deployment. ICTAI Zakaria O. Elghazzali, Chen Zhao, Kewei Chen, Lingtao Chen, Bobin Deng, Kazi Fahim Ahmad Nasif, Yixin Xie
2025	—	`conf`	Sparsified Federated Learning With Spiking Neural Networks: Resistance Against Byzantine Attacks While Lowering Communication Traffics. VTC2025-Spring Manh V. Nguyen, Liang Zhao, Bobin Deng, Shaoen Wu
2025	J	`jnl`	The Robustness of Spiking Neural Networks in Federated Learning with Compression Against Non-omniscient Byzantine Attacks. CoRR Manh V. Nguyen, Liang Zhao, Bobin Deng, Shaoen Wu
2024	C	`conf`	Activation Sparsity Opportunities for Compressing General Large Language Models. IPCCC Nobel Dhar, Bobin Deng, Md. Romyull Islam, Kazi Fahim Ahmad Nasif, Liang Zhao, Kun Suo
2024	J	`jnl`	Activation Sparsity Opportunities for Compressing General Large Language Models. CoRR Nobel Dhar, Bobin Deng, Md. Romyull Islam, Kazi Fahim Ahmad Nasif, Liang Zhao, Kun Suo
2024	—	`conf`	An Empirical Analysis and Resource Footprint Study of Deploying Large Language Models on Edge Devices. ACM Southeast Regional Conference Nobel Dhar, Bobin Deng, Dan C. Lo, Xiaofeng Wu, Liang Zhao, Kun Suo
2024	—	`conf`	Building a Resilient and Sustainable Grid: A Study of Challenges and Opportunities in AI for Smart Virtual Power Plants. ACM Southeast Regional Conference Md. Romyull Islam, Long Vu, Nobel Dhar, Bobin Deng, Kun Suo
2024	C	`conf`	Characterizing and Understanding the Performance of Small Language Models on Edge Devices. IPCCC Md. Romyull Islam, Nobel Dhar, Bobin Deng, Tu N. Nguyen, Selena He, Kun Suo
2024	—	`conf`	Evaluation of Thermal Stress on IoT-based Federated Learning. ACM Southeast Regional Conference Yi Gu, Liang Zhao, Bobin Deng, Shaoen Wu
2024	J	`jnl`	Fixed-point Encoding and Architecture Exploration for Residue Number Systems. ACM Trans. Archit. Code Optim. Bobin Deng, Bhargava Nadendla, Kun Suo, Yixin Xie, Dan Chia-Tien Lo
2024	B	`conf`	Practical Considerations of Fully Homomorphic Encryption in Privacy-Preserving Machine Learning. IEEE Big Data Dan Chia-Tien Lo, Yong Shi, Hossain Shahriar, Bobin Deng, Xinyue Zhang, Mei-Lan Chen
2024	B	`conf`	Predicting Protein-Protein Binding Affinity with Deep Learning: A Comparative Analysis of CNN and Transformer Models. ICTAI Lingtao Chen, Kazi Fahim Ahmad Nasif, Bobin Deng, Shuteng Niu, Chloe Yixin Xie
2024	C	`conf`	The Robustness of Spiking Neural Networks in Communication and its Application towards Network Efficiency in Federated Learning. IPCCC Manh V. Nguyen, Liang Zhao, Bobin Deng, William Severa, Honghui Xu, Shaoen Wu
2024	J	`jnl`	The Robustness of Spiking Neural Networks in Communication and its Application towards Network Efficiency in Federated Learning. CoRR Manh V. Nguyen, Liang Zhao, Bobin Deng, William Severa, Honghui Xu, Shaoen Wu
2023	B	`conf`	Deep Machine Learning on Segmenting and Classifying Crop Images Taken by Unmanned Aerial Vehicle. IEEE Big Data Dan Chia-Tien Lo, Bobin Deng, Yong Shi
2023	—	`conf`	Serverless-DFS: Serverless Federated Learning with Dynamic Forest Strategy. ICNCC Bobin Deng, Xinyue Zhang, Dan Chia-Tien Lo
2022	J	`jnl`	Scalable Energy-Efficient Microarchitectures With Computational Error Tolerance Via Redundant Residue Number Systems. IEEE Trans. Computers Bobin Deng, Sriseshan Srikanth, Anirudh Jain, Thomas M. Conte, Erik DeBenedictis, Jeanine E. Cook
2021	—	`—`	Scalable Energy-efficient Microarchitectures with Computational Error Tolerance. Bobin Deng
2018	J	`jnl`	Extending Moore's Law via Computationally Error-Tolerant Computing. ACM Trans. Archit. Code Optim. Bobin Deng, Sriseshan Srikanth, Eric R. Hein, Thomas M. Conte, Erik DeBenedictis, Jeanine E. Cook, Michael P. Frank
2018	A*	`conf`	Memory System Design for Ultra Low Power, Computationally Error Resilient Processor Microarchitectures. HPCA Sriseshan Srikanth, Paul G. Rabbat, Eric R. Hein, Bobin Deng, Thomas M. Conte, Erik DeBenedictis, Jeanine E. Cook, Michael P. Frank
2016	J	`jnl`	A Brief Survey of Non-Residue Based Computational Error Correction. CoRR Sriseshan Srikanth, Bobin Deng, Thomas M. Conte
2016	—	`conf`	Computationally-redundant energy-efficient processing for y'all (CREEPY). ICRC Bobin Deng, Sriseshan Srikanth, Eric R. Hein, Paul G. Rabbat, Thomas M. Conte, Erik DeBenedictis, Jeanine E. Cook
2016	—	`conf`	Energy efficiency limits of logic and memory. ICRC Sapan Agarwal, Jeanine E. Cook, Erik DeBenedictis, Michael P. Frank, Gert Cauwenberghs, Sriseshan Srikanth, Bobin Deng, Eric R. Hein, Paul G. Rabbat, Thomas M. Conte
2014	J	`jnl`	Efficient execution of speculative threads and transactions with hardware transactional memory. Future Gener. Comput. Syst. Gongming Li, Hong An, Qi Li, Bobin Deng, Wenbo Dai
2012	—	`conf`	Distributed Control Independence for Composable Multi-processors. ACIS-ICIS Mengjie Mao, Hong An, Tao Sun, Qi Li, Bobin Deng, Xuechao Wei, Junrui Zhou
2012	A	`conf`	Distributed replay protocol for distributed uniprocessors. ICS Mengjie Mao, Hong An, Bobin Deng, Tao Sun, Xuechao Wei, Wei Zhou, Wenting Han
2012	J	`jnl`	Priority-based squash reducing methods in thread level speculation. Int. J. Inf. Technol. Commun. Convergence Qi Li, Hong An, Wenbo Dai, Gongming Li, Bobin Deng, Yu Liu, Xiaomei Li, Shilei Wu
2012	B	`conf`	SeTM: Efficient Execution of Speculative Threads with Hardware Transactional Memory. ICPADS Gongming Li, Hong An, Qi Li, Bobin Deng, Wenbo Dai
2012	—	`conf`	Value Predicted LogSPoTM: Improve the Parallesim of Thread Level System by Using a Value Predictor. ACIS-ICIS Bobin Deng, Hong An, Qi Li, Gongming Li, Mengjie Mao
2011	C	`conf`	A Priority-Aware NoC to Reduce Squashes in Thread Level Speculation for Chip Multiprocessors. ISPA Wenbo Dai, Hong An, Qi Li, Gongming Li, Bobin Deng, Shilei Wu, Xiaomei Li, Yu Liu