A Priority-Aware NoC to Reduce Squashes in Thread Level Speculation for Chip Multiprocessors. - Wenbo Dai; Hong An; Qi Li 034; Gongming Li; Bobin Deng; Shilei Wu; Xiaomei Li; Yu Liu (ISPA, 2011)

Value Predicted LogSPoTM: Improve the Parallesim of Thread Level System by Using a Value Predictor. - Bobin Deng; Hong An; Qi Li 034; Gongming Li; Mengjie Mao (ACIS-ICIS, 2012)

Distributed Control Independence for Composable Multi-processors. - Mengjie Mao; Hong An; Tao Sun; Qi Li 034; Bobin Deng; Xuechao Wei; Junrui Zhou (ACIS-ICIS, 2012)

SeTM: Efficient Execution of Speculative Threads with Hardware Transactional Memory. - Gongming Li; Hong An; Qi Li 034; Bobin Deng; Wenbo Dai (ICPADS, 2012)

Distributed replay protocol for distributed uniprocessors. - Mengjie Mao; Hong An; Bobin Deng; Tao Sun; Xuechao Wei; Wei Zhou; Wenting Han (ICS, 2012)

Priority-based squash reducing methods in thread level speculation. - Qi Li 034; Hong An; Wenbo Dai; Gongming Li; Bobin Deng; Yu Liu; Xiaomei Li; Shilei Wu (Int. J. Inf. Technol. Commun. Convergence, 2012)

Efficient execution of speculative threads and transactions with hardware transactional memory. - Gongming Li; Hong An; Qi Li 034; Bobin Deng; Wenbo Dai (Future Gener. Comput. Syst., 2014)

Energy efficiency limits of logic and memory. - 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 (ICRC, 2016)

Computationally-redundant energy-efficient processing for y'all (CREEPY). - Bobin Deng; Sriseshan Srikanth; Eric R. Hein; Paul G. Rabbat; Thomas M. Conte; Erik DeBenedictis; Jeanine E. Cook (ICRC, 2016)

A Brief Survey of Non-Residue Based Computational Error Correction. - Sriseshan Srikanth; Bobin Deng; Thomas M. Conte (CoRR, 2016)

Memory System Design for Ultra Low Power, Computationally Error Resilient Processor Microarchitectures. - Sriseshan Srikanth; Paul G. Rabbat; Eric R. Hein; Bobin Deng; Thomas M. Conte; Erik DeBenedictis; Jeanine E. Cook; Michael P. Frank (HPCA, 2018)

Extending Moore's Law via Computationally Error-Tolerant Computing. - Bobin Deng; Sriseshan Srikanth; Eric R. Hein; Thomas M. Conte; Erik DeBenedictis; Jeanine E. Cook; Michael P. Frank (ACM Trans. Archit. Code Optim., 2018)

Scalable Energy-efficient Microarchitectures with Computational Error Tolerance. - Bobin Deng (2021)

Scalable Energy-Efficient Microarchitectures With Computational Error Tolerance Via Redundant Residue Number Systems. - Bobin Deng; Sriseshan Srikanth; Anirudh Jain; Thomas M. Conte; Erik DeBenedictis; Jeanine E. Cook (IEEE Trans. Computers, 2022)

Deep Machine Learning on Segmenting and Classifying Crop Images Taken by Unmanned Aerial Vehicle. - Dan Chia-Tien Lo; Bobin Deng; Yong Shi 002 (IEEE Big Data, 2023)

Serverless-DFS: Serverless Federated Learning with Dynamic Forest Strategy. - Bobin Deng; Xinyue Zhang 001; Dan Chia-Tien Lo (ICNCC, 2023)

An Empirical Analysis and Resource Footprint Study of Deploying Large Language Models on Edge Devices. - Nobel Dhar; Bobin Deng; Dan C. Lo; Xiaofeng Wu 002; Liang Zhao 024; Kun Suo (ACM Southeast Regional Conference, 2024)

Evaluation of Thermal Stress on IoT-based Federated Learning. - Yi Gu; Liang Zhao 024; Bobin Deng; Shaoen Wu (ACM Southeast Regional Conference, 2024)

Building a Resilient and Sustainable Grid: A Study of Challenges and Opportunities in AI for Smart Virtual Power Plants. - Md. Romyull Islam; Long Vu; Nobel Dhar; Bobin Deng; Kun Suo (ACM Southeast Regional Conference, 2024)

Practical Considerations of Fully Homomorphic Encryption in Privacy-Preserving Machine Learning. - Dan Chia-Tien Lo; Yong Shi 002; Hossain Shahriar; Bobin Deng; Xinyue Zhang 001; Mei-Lan Chen (IEEE Big Data, 2024)

Predicting Protein-Protein Binding Affinity with Deep Learning: A Comparative Analysis of CNN and Transformer Models. - Lingtao Chen; Kazi Fahim Ahmad Nasif; Bobin Deng; Shuteng Niu; Chloe Yixin Xie (ICTAI, 2024)

Activation Sparsity Opportunities for Compressing General Large Language Models. - Nobel Dhar; Bobin Deng; Md. Romyull Islam; Kazi Fahim Ahmad Nasif; Liang Zhao 024; Kun Suo (IPCCC, 2024)

Characterizing and Understanding the Performance of Small Language Models on Edge Devices. - Md. Romyull Islam; Nobel Dhar; Bobin Deng; Tu N. Nguyen 001; Selena He; Kun Suo (IPCCC, 2024)

The Robustness of Spiking Neural Networks in Communication and its Application towards Network Efficiency in Federated Learning. - Manh V. Nguyen; Liang Zhao; Bobin Deng; William Severa; Honghui Xu; Shaoen Wu (IPCCC, 2024)

Fixed-point Encoding and Architecture Exploration for Residue Number Systems. - Bobin Deng; Bhargava Nadendla; Kun Suo; Chloe Yixin Xie; Dan Chia-Tien Lo (ACM Trans. Archit. Code Optim., 2024)

A Sparsity Predicting Approach for Large Language Models via Activation Pattern Clustering. - Nobel Dhar; Bobin Deng; Md. Romyull Islam; Xinyue Zhang 001; Kazi Fahim Ahmad Nasif; Kun Suo (Euro-Par (1), 2025)

The Robustness of Spiking Neural Networks in Federated Learning with Compression Against Non-omniscient Byzantine Attacks. - Manh V. Nguyen; Liang Zhao; Bobin Deng; Shaoen Wu (CoRR, 2025)