Harry Dong

According to our database, Harry Dong authored at least 12 papers between 2022 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

Multimodal Diffusion to Mutually Enhance Polarized Light and Low Resolution EBSD Data.

Harry Dong, Timofey Efimov, Megna Shah, Jeff P. Simmons, Sean Donegan, Marc De Graef, Yuejie Chi

CoRR, April, 2026

STEM: Scaling Transformers with Embedding Modules.

Ranajoy Sadhukhan, Sheng Cao, Harry Dong, Changsheng Zhao, Attiano Purpura-Pontoniere, Yuandong Tian, Zechun Liu, Beidi Chen

CoRR, January, 2026

2025

Generalized Parallel Scaling with Interdependent Generations.

Harry Dong, David Brandfonbrener, Eryk Helenowski, Yun He, Mrinal Kumar, Han Fang, Yuejie Chi, Karthik Abinav Sankararaman

CoRR, October, 2025

Scalable LLM Math Reasoning Acceleration with Low-rank Distillation.

Harry Dong, Bilge Acun, Beidi Chen, Yuejie Chi

CoRR, May, 2025

ShadowKV: KV Cache in Shadows for High-Throughput Long-Context LLM Inference.

Hanshi Sun, Li-Wen Chang, Wenlei Bao, Size Zheng, Ningxin Zheng, Xin Liu, Harry Dong, Yuejie Chi, Beidi Chen

Proceedings of the Forty-second International Conference on Machine Learning, 2025

Leveraging Multimodal Diffusion Models to Accelerate Imaging with Side Information.

Timofey Efimov, Harry Dong, Megna Shah, Jeff P. Simmons, Sean Donegan, Yuejie Chi

Proceedings of the 2025 IEEE International Conference on Acoustics, 2025

2024

Towards Low-bit Communication for Tensor Parallel LLM Inference.

Harry Dong, Tyler Johnson, Minsik Cho, Emad Soroush

CoRR, 2024

Prompt-prompted Mixture of Experts for Efficient LLM Generation.

Harry Dong, Beidi Chen, Yuejie Chi

CoRR, 2024

Get More with LESS: Synthesizing Recurrence with KV Cache Compression for Efficient LLM Inference.

Harry Dong, Xinyu Yang, Zhenyu Zhang, Zhangyang Wang, Yuejie Chi, Beidi Chen

Proceedings of the Forty-first International Conference on Machine Learning, 2024

2023

A Lightweight Transformer for Faster and Robust EBSD Data Collection.

Harry Dong, Sean Donegan, Megna Shah, Yuejie Chi

CoRR, 2023

Deep Unfolded Tensor Robust PCA With Self-Supervised Learning.

Harry Dong, Megna Shah, Sean Donegan, Yuejie Chi

Proceedings of the IEEE International Conference on Acoustics, 2023

2022

Fast and Provable Tensor Robust Principal Component Analysis via Scaled Gradient Descent.

Harry Dong, Tian Tong, Cong Ma, Yuejie Chi

CoRR, 2022