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Coleman Richard Charles Hooper
Observed names:
Coleman Hooper,
Hooper, Coleman,
Hooper, Coleman Richard Charles
Institution:
University of California, Berkeley
Observed institutions:
Harvard University,
Lawrence Berkeley National Laboratory,
Nvidia (United States),
University of California, Berkeley
ORCID:
0000-0002-5890-610X
Observed ORCID:
0000-0002-5890-610X
OpenAlex ID:
A5007438902
AI and Memory Wall
2024
·
Amir Gholami
, Zhewei Yao
, et al.
·
IEEE Micro
·
464
PDF
KVQuant: Towards 10 Million Context Length LLM Inference with KV Cache Quantization
2024
·
Coleman Hooper
, Sehoon Kim
, et al.
·
neural information processing systems
·
364
PDF
SqueezeLLM: Dense-and-Sparse Quantization
2023
·
Kim, Sehoon
, Hooper, Coleman
, et al.
·
arXiv (Cornell University)
·
312
PDF
S-LoRA: Serving Thousands of Concurrent LoRA Adapters
2023
·
Sheng, Ying
, Cao, Shiyi
, et al.
·
arXiv (Cornell University)
·
193
PDF
EdgeBERT: Sentence-Level Energy Optimizations for Latency-Aware Multi-Task NLP Inference
2021
·
Thierry Tambe
, Coleman Hooper
, et al.
·
IEEE/ACM International Symposium on Microarchitecture (MICRO)
·
145
PDF
Full Stack Optimization of Transformer Inference: a Survey
2023
·
Kim, Sehoon
, Hooper, Coleman
, et al.
·
arXiv (Cornell University)
·
139
PDF
22.9 A 12nm 18.1TFLOPs/W Sparse Transformer Processor with Entropy-Based Early Exit, Mixed-Precision Predication and Fine-Grained Power Management
2023
·
Thierry Tambe
, Jeff Zhang
, et al.
·
Digest of technical papers/Digest of technical papers - IEEE International Solid-State Circuits Conference
·
68
SPEED: Speculative Pipelined Execution for Efficient Decoding
2025
·
Coleman Hooper
, Sehoon Kim
, et al.
·
Machine translation
·
45
PDF
Squeezed Attention: Accelerating Long Context Length LLM Inference
2025
·
Coleman Richard Charles Hooper
, Sehoon Kim
, et al.
·
Proceedings of the conference - Association for Computational Linguistics. Meeting
·
45
PDF
ParallelBench: Understanding the Trade-offs of Parallel Decoding in Diffusion LLMs
2025
·
Kang, Wonjun
, Galim, Kevin
, et al.
·
arXiv (Cornell University)
·
38
PDF
A 16-nm SoC for Noise-Robust Speech and NLP Edge AI Inference With Bayesian Sound Source Separation and Attention-Based DNNs
2022
·
Thierry Tambe
, En-Yu Yang
, et al.
·
IEEE Journal of Solid-State Circuits
·
38
PDF
9.8 A 25mm2 SoC for IoT Devices with 18ms Noise-Robust Speech-to-Text Latency via Bayesian Speech Denoising and Attention-Based Sequence-to-Sequence DNN Speech Recognition in 16nm FinFET
2021
·
Thierry Tambe
, En-Yu Yang
, et al.
·
Digest of technical papers/Digest of technical papers - IEEE International Solid-State Circuits Conference
·
32
TinyAgent: Function Calling at the Edge
2024
·
Erdogan, Lutfi Eren
, Lee, Nicholas
, et al.
·
arXiv (Cornell University)
·
31
PDF
TinyAgent: Function Calling at the Edge
2024
·
Lutfi Eren Erdogan
, Nicholas Lee
, et al.
·
Conference on Empirical Methods in Natural Language Processing: System Demonstrations (EMNLP)
·
30
PDF
ETS: Efficient Tree Search for Inference-Time Scaling
2025
·
Hooper, Coleman
, Kim, Sehoon
, et al.
·
arXiv (Cornell University)
·
17
PDF
QuantSpec: Self-Speculative Decoding with Hierarchical Quantized KV Cache
2025
·
Tiwari, Rishabh
, Xi, Haocheng
, et al.
·
arXiv (Cornell University)
·
14
PDF
Residual Context Diffusion Language Models
2026
·
Hu, Yuezhou
, Singh, Harman
, et al.
·
arXiv (Cornell University)
·
12
PDF
Beyond Next-Token Prediction: A Performance Characterization of Diffusion versus Autoregressive Language Models
2025
·
Kim, Minseo
, Hooper, Coleman
, et al.
·
arXiv (Cornell University)
·
12
PDF
Multipole Attention for Efficient Long Context Reasoning
2025
·
Coleman Hooper
, Sebastian Zhao
, et al.
·
neural information processing systems
·
12
PDF
Speculative Interaction Agents: Building Real-Time Agents with Asynchronous I/O and Speculative Tool Calling
2026
·
Hooper, Coleman
, Kang, Minwoo
, et al.
·
arXiv (Cornell University)
·
11
PDF
Squeeze Evolve: Unified Multi-Model Orchestration for Verifier-Free Evolution
2026
·
Maheswaran, Monishwaran
, Lakhani, Leon
, et al.
·
arXiv (Cornell University)
·
8
PDF
Property-Aware Multi-Speaker Data Simulation: A Probabilistic Modelling Technique for Synthetic Data Generation
2023
·
Tae Jin Park
, He Huang
, et al.
·
International Workshop on Speech Processing in Everyday Environments (CHiME)
·
8
PDF
EdgeBERT: Optimizing On-Chip Inference for Multi-Task NLP.
2020
·
Thierry Tambe
, Coleman Hooper
, et al.
·
8
Learned Best-Effort LLM Serving
2024
·
Jha, Siddharth
, Hooper, Coleman
, et al.
·
arXiv (Cornell University)
·
7
PDF
EfficientRollout: System-Aware Self-Speculative Decoding for RL Rollouts
2026
·
Kim, Minseo
, Lee, Minjae
, et al.
·
arXiv (Cornell University)
·
6
PDF
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Works count:
38
Citation count:
2,088
H-index:
15
I10-index:
21
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