Fast and Provable Tensor Robust Principal Component Analysis via Scaled Gradient Descent. - Harry Dong; Tian Tong; Cong Ma 001; Yuejie Chi (CoRR, 2022)

Deep Unfolded Tensor Robust PCA With Self-Supervised Learning. - Harry Dong; Megna Shah; Sean Donegan; Yuejie Chi (ICASSP, 2023)

A Lightweight Transformer for Faster and Robust EBSD Data Collection. - Harry Dong; Sean Donegan; Megna Shah; Yuejie Chi (CoRR, 2023)

Get More with LESS: Synthesizing Recurrence with KV Cache Compression for Efficient LLM Inference. - Harry Dong; Xinyu Yang 002; Zhenyu Zhang 015; Zhangyang Wang; Yuejie Chi; Beidi Chen (ICML, 2024)

Prompt-prompted Mixture of Experts for Efficient LLM Generation. - Harry Dong; Beidi Chen; Yuejie Chi (CoRR, 2024)

ShadowKV: KV Cache in Shadows for High-Throughput Long-Context LLM Inference. - Hanshi Sun; Li-Wen Chang; Wenlei Bao; Size Zheng 001; Ningxin Zheng; Xin Liu 086; Harry Dong; Yuejie Chi; Beidi Chen (CoRR, 2024)

Towards Low-bit Communication for Tensor Parallel LLM Inference. - Harry Dong; Tyler Johnson; Minsik Cho; Emad Soroush (CoRR, 2024)

Leveraging Multimodal Diffusion Models to Accelerate Imaging with Side Information. - Timofey Efimov; Harry Dong; Megna Shah; Jeff P. Simmons; Sean Donegan; Yuejie Chi (ICASSP, 2025)

Scalable LLM Math Reasoning Acceleration with Low-rank Distillation. - Harry Dong; Bilge Acun; Beidi Chen; Yuejie Chi (CoRR, 2025)