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2020 – today
- 2024
[c2]Harry Dong, Xinyu Yang, Zhenyu Zhang, Zhangyang Wang, Yuejie Chi, Beidi Chen:
Get More with LESS: Synthesizing Recurrence with KV Cache Compression for Efficient LLM Inference. ICML 2024- [i8]Harry Dong, Xinyu Yang, Zhenyu Zhang, Zhangyang Wang, Yuejie Chi, Beidi Chen:
Get More with LESS: Synthesizing Recurrence with KV Cache Compression for Efficient LLM Inference. CoRR abs/2402.09398 (2024) - [i7]Harry Dong, Beidi Chen, Yuejie Chi:
Prompt-prompted Mixture of Experts for Efficient LLM Generation. CoRR abs/2404.01365 (2024) - [i6]Timofey Efimov, Harry Dong, Megna Shah, Jeff P. Simmons, Sean Donegan, Yuejie Chi:
Leveraging Multimodal Diffusion Models to Accelerate Imaging with Side Information. CoRR abs/2410.05143 (2024) - [i5]Hanshi Sun, Li-Wen Chang, Wenlei Bao, Size Zheng, Ningxin Zheng, Xin Liu, Harry Dong, Yuejie Chi, Beidi Chen:
ShadowKV: KV Cache in Shadows for High-Throughput Long-Context LLM Inference. CoRR abs/2410.21465 (2024) - [i4]Harry Dong, Tyler Johnson, Minsik Cho, Emad Soroush:
Towards Low-bit Communication for Tensor Parallel LLM Inference. CoRR abs/2411.07942 (2024) - 2023
- [c1]Harry Dong, Megna Shah, Sean Donegan, Yuejie Chi:
Deep Unfolded Tensor Robust PCA With Self-Supervised Learning. ICASSP 2023: 1-5 - [i3]Harry Dong, Sean Donegan, Megna Shah, Yuejie Chi:
A Lightweight Transformer for Faster and Robust EBSD Data Collection. CoRR abs/2308.09693 (2023) - 2022
- [i2]Harry Dong, Tian Tong, Cong Ma, Yuejie Chi
:
Fast and Provable Tensor Robust Principal Component Analysis via Scaled Gradient Descent. CoRR abs/2206.09109 (2022) - [i1]Harry Dong, Megna Shah, Sean Donegan, Yuejie Chi:
Deep Unfolded Tensor Robust PCA with Self-supervised Learning. CoRR abs/2212.11346 (2022)
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