Bradley McDanel

43 papers A* 3A 3B 5C 6Journal 17Unranked 9

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	CLAA: Cross-Layer Attention Aggregation for Accelerating LLM Prefill. CoRR Bradley McDanel, Steven Li, Harshit Khaitan
2026	—	`conf`	Individualized Quizzes From Student Code with LLMs. SIGCSE (2) Ed Novak, Bradley McDanel
2026	J	`jnl`	MoE-Spec: Expert Budgeting for Efficient Speculative Decoding. CoRR Bradley McDanel, Steven Li, Sruthikesh Surineni, Harshit Khaitan
2025	C	`conf`	AMUSD: Asynchronous Multi-Device Speculative Decoding for LLM Acceleration. ISCAS Bradley McDanel
2025	J	`jnl`	Beyond Trusting Trust: Multi-Model Validation for Robust Code Generation. CoRR Bradley McDanel
2025	—	`conf`	Designing LLM-Resistant Programming Assignments: Insights and Strategies for CS Educators. SIGCSE (1) Bradley McDanel, Ed Novak
2025	—	`conf`	Mitigating Sequential Dependencies: A Survey of Algorithms and Systems for Generation-Refinement Frameworks in Autoregressive Models. EMNLP (Findings) Yunhai Hu, Zining Liu, Zhenyuan Dong, Tianfan Peng, Bradley McDanel, Sai Qian Zhang
2025	—	`conf`	PipeSpec: Breaking Stage Dependencies in Hierarchical LLM Decoding. ACL (Findings) Bradley McDanel, Sai Qian Zhang, Yunhai Hu, Zining Liu
2025	J	`jnl`	PipeSpec: Breaking Stage Dependencies in Hierarchical LLM Decoding. CoRR Bradley McDanel, Sai Qian Zhang, Yunhai Hu, Zining Liu
2025	J	`jnl`	Speculative Decoding and Beyond: An In-Depth Survey of Techniques. CoRR Yunhai Hu, Zining Liu, Zhenyuan Dong, Tianfan Peng, Bradley McDanel, Sai Qian Zhang
2024	J	`jnl`	AMUSD: Asynchronous Multi-Device Speculative Decoding for LLM Acceleration. CoRR Bradley McDanel
2023	C	`conf`	Dynamic Patch Sampling for Efficient Training and Dynamic Inference in Vision Transformers. ICMLA Bradley McDanel, Chi Phuong Ngoc Huynh
2023	C	`conf`	StitchNet: Composing Neural Networks from Pre-Trained Fragments. ICMLA Surat Teerapittayanon, Marcus Z. Comiter, Bradley McDanel, H. T. Kung
2023	J	`jnl`	StitchNet: Composing Neural Networks from Pre-Trained Fragments. CoRR Surat Teerapittayanon, Marcus Z. Comiter, Bradley McDanel, H. T. Kung
2022	B	`conf`	Accelerating DNN Training with Structured Data Gradient Pruning. ICPR Bradley McDanel, Helia Dinh, John Magallanes
2022	J	`jnl`	Accelerating DNN Training with Structured Data Gradient Pruning. CoRR Bradley McDanel, Helia Dinh, John Magallanes
2022	J	`jnl`	Accelerating Vision Transformer Training via a Patch Sampling Schedule. CoRR Bradley McDanel, Chi Phuong Huynh
2022	A*	`conf`	FAST: DNN Training Under Variable Precision Block Floating Point with Stochastic Rounding. HPCA Sai Qian Zhang, Bradley McDanel, H. T. Kung
2021	J	`jnl`	FAST: DNN Training Under Variable Precision Block Floating Point with Stochastic Rounding. CoRR Sai Qian Zhang, Bradley McDanel, H. T. Kung
2021	C	`conf`	Saturation RRAM Leveraging Bit-Level Sparsity Resulting from Term Quantization. ISCAS Bradley McDanel, Sai Qian Zhang, H. T. Kung
2021	A*	`conf`	Training for multi-resolution inference using reusable quantization terms. ASPLOS Sai Qian Zhang, Bradley McDanel, H. T. Kung, Xin Dong
2020	J	`jnl`	Term Revealing: Furthering Quantization at Run Time on Quantized DNNs. CoRR H. T. Kung, Bradley McDanel, Sai Qian Zhang
2020	A	`conf`	Term quantization: furthering quantization at run time. SC Hsiang-Tsung Kung, Bradley McDanel, Sai Qian Zhang
2019	J	`jnl`	Full-stack Optimization for Accelerating CNNs with FPGA Validation. CoRR Bradley McDanel, Sai Qian Zhang, H. T. Kung, Xin Dong
2019	A	`conf`	Full-stack optimization for accelerating CNNs using powers-of-two weights with FPGA validation. ICS Bradley McDanel, Sai Qian Zhang, H. T. Kung, Xin Dong
2019	—	`conf`	Maestro: A Memory-on-Logic Architecture for Coordinated Parallel Use of Many Systolic Arrays. ASAP H. T. Kung, Bradley McDanel, Sai Qian Zhang, Xin Dong, Chih-Chiang Chen
2019	A*	`conf`	Packing Sparse Convolutional Neural Networks for Efficient Systolic Array Implementations: Column Combining Under Joint Optimization. ASPLOS H. T. Kung, Bradley McDanel, Sai Qian Zhang
2019	C	`conf`	Systolic Building Block for Logic-on-Logic 3D-IC Implementations of Convolutional Neural Networks. ISCAS H. T. Kung, Bradley McDanel, Sai Qian Zhang, C. T. Wang, Jin Cai, C. Y. Chen, Victor C. Y. Chang, M. F. Chen, Jack Yuan-Chen Sun, Douglas Yu
2018	B	`conf`	Adaptive Tiling: Applying Fixed-size Systolic Arrays To Sparse Convolutional Neural Networks. ICPR H. T. Kung, Bradley McDanel, Sai Qian Zhang
2018	—	`conf`	Mapping Systolic Arrays onto 3D Circuit Structures: Accelerating Convolutional Neural Network Inference. SiPS H. T. Kung, Bradley McDanel, Sai Qian Zhang
2018	J	`jnl`	Packing Sparse Convolutional Neural Networks for Efficient Systolic Array Implementations: Column Combining Under Joint Optimization. CoRR H. T. Kung, Bradley McDanel, Sai Qian Zhang
2017	J	`jnl`	BranchyNet: Fast Inference via Early Exiting from Deep Neural Networks. CoRR Surat Teerapittayanon, Bradley McDanel, H. T. Kung
2017	A	`conf`	Distributed Deep Neural Networks Over the Cloud, the Edge and End Devices. ICDCS Surat Teerapittayanon, Bradley McDanel, H. T. Kung
2017	J	`jnl`	Distributed Deep Neural Networks over the Cloud, the Edge and End Devices. CoRR Surat Teerapittayanon, Bradley McDanel, H. T. Kung
2017	B	`conf`	Embedded Binarized Neural Networks. EWSN Bradley McDanel, Surat Teerapittayanon, H. T. Kung
2017	J	`jnl`	Embedded Binarized Neural Networks. CoRR Bradley McDanel, Surat Teerapittayanon, H. T. Kung
2017	C	`conf`	Incomplete Dot Products for Dynamic Computation Scaling in Neural Network Inference. ICMLA Bradley McDanel, Surat Teerapittayanon, H. T. Kung
2017	J	`jnl`	Incomplete Dot Products for Dynamic Computation Scaling in Neural Network Inference. CoRR Bradley McDanel, Surat Teerapittayanon, H. T. Kung
2016	B	`conf`	BranchyNet: Fast inference via early exiting from deep neural networks. ICPR Surat Teerapittayanon, Bradley McDanel, H. T. Kung
2015	—	`conf`	Outlier detection for large scale manufacturing processes. IEEE BigData Abhinav Jauhri, Bradley McDanel, Chris Connor
2015	—	`conf`	PNNU: Parallel Nearest-Neighbor Units for Learned Dictionaries. LCPC H. T. Kung, Bradley McDanel, Surat Teerapittayanon
2015	—	`conf`	Sparse Coding Trees with application to emotion classification. CVPR Workshops Hsieh-Chung Chen, Marcus Z. Comiter, H. T. Kung, Bradley McDanel
2015	B	`conf`	Taming Wireless Fluctuations by Predictive Queuing Using a Sparse-Coding Link-State Model. MobiHoc Stephen J. Tarsa, Marcus Z. Comiter, Michael B. Crouse, Bradley McDanel, H. T. Kung