| Specinfer: Accelerating large language model serving with tree-based speculative inference and verification X Miao, G Oliaro, Z Zhang, X Cheng, Z Wang, Z Zhang, RYY Wong, A Zhu, ... Proceedings of the 29th ACM International Conference on Architectural …, 2024 | 157 | 2024 |
| Quantized training of gradient boosting decision trees Y Shi, G Ke, Z Chen, S Zheng, TY Liu Advances in neural information processing systems 35, 18822-18833, 2022 | 20 | 2022 |
| TriForce: Lossless Acceleration of Long Sequence Generation with Hierarchical Speculative Decoding H Sun, Z Chen, X Yang, Y Tian, B Chen COLM 2024, 2024 | 18 | 2024 |
| Sequoia: Scalable, Robust, and Hardware-aware Speculative Decoding Z Chen, A May, R Svirschevski, Y Huang, M Ryabinin, Z Jia, B Chen NeurIPS 2024 (Spotlight), 2024 | 17 | 2024 |
| MagicDec: Breaking the Latency-Throughput Tradeoff for Long Context Generation with Speculative Decoding J Chen, V Tiwari, R Sadhukhan, Z Chen, J Shi, IEH Yen, B Chen arXiv preprint arXiv:2408.11049, 2024 | 5 | 2024 |
| SpecExec: Massively Parallel Speculative Decoding for Interactive LLM Inference on Consumer Devices R Svirschevski, A May, Z Chen, B Chen, Z Jia, M Ryabinin NeurIPS 2024, 2024 | 3 | 2024 |
| GNNPipe: Scaling Deep GNN Training with Pipelined Model Parallelism J Chen, Z Chen, X Qian HPCA2025, 2023 | 3* | 2023 |
| MagicPIG: LSH Sampling for Efficient LLM Generation Z Chen, R Sadhukhan, Z Ye, Y Zhou, J Zhang, N Nolte, Y Tian, M Douze, ... arXiv preprint arXiv:2410.16179, 2024 | 1 | 2024 |
| Sirius: Contextual Sparsity with Correction for Efficient LLMs Y Zhou, Z Chen, Z Xu, V Lin, B Chen NeurIPS 2024, 2024 | 1 | 2024 |
| MINI-SEQUENCE TRANSFORMER: Optimizing Intermediate Memory for Long Sequences Training C Luo, J Zhao, Z Chen, B Chen, A Anandkumar NeurIPS 2024, 2024 | 1 | 2024 |
| Quark: A Gradient-Free Quantum Learning Framework for Classification Tasks Z Zhang, Z Chen, H Huang, Z Jia | 1 | 2022 |
Zhihao JiaAssistant Professor of Computer Science, Carnegie Mellon UniversityПотвърден имейл адрес: cmu.edu
