Publications & Contributions

See my Google Scholar for most the up-to-date list.

Preprints

• Generalized Parallel Scaling with Interdependent Generations
  Harry Dong, David Brandfonbrener, Eryk Helenowski, Yun He, Mrinal Kumar, Han Fang, Yuejie Chi, Karthik Abinav Sankararaman
  Preprint, 2025

• Scalable LLM Math Reasoning Acceleration with Low-rank Distillation
  Harry Dong, Bilge Acun, Beidi Chen, Yuejie Chi
  Preprint, 2025

  • Early version presented at ICML Workshop on Long-Context Foundation Models, 2025.

Journals

• A Lightweight Transformer for Faster and Robust EBSD Data Collection
  Harry Dong, Sean Donegan, Megna Shah, Yuejie Chi
  Scientific Reports, 2024

  • Oral presentation at the Machine Learning for Scientific Imaging Conference at Electronic Imaging, 2024.

  • Poster presentation at the Joint Workshop at the Intersection of Materials Science and Machine Learning, 2023.

• Fast and Provable Tensor Robust Principal Component Analysis via Scaled Gradient Descent
  Harry Dong, Tian Tong, Cong Ma, Yuejie Chi
  Information and Inference: A Journal of the IMA, 2023

  • Contributed talk at SIAM Conference on Mathematics of Data Science, 2022.

Conferences

• 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
  International Conference on Machine Learning (ICML) spotlight, 2025

• Leveraging Multimodal Diffusion Models to Accelerate Imaging with Side Information
  Timofey Efimov, Harry Dong, Megna Shah, Jeff Simmons, Sean Donegan, Yuejie Chi
  IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2025

  • Oral presentation/poster at the Computational Imaging Conference at Electronic Imaging, 2025.

• Prompt-prompted Adaptive Structured Pruning for Efficient LLM Generation
  Harry Dong, Beidi Chen, Yuejie Chi
  Conference on Language Modeling (COLM), 2024

  • Oral presentation at ICML Workshop on Efficient Systems for Foundation Models, 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
  International Conference on Machine Learning (ICML), 2024

• Deep Unfolded Tensor Robust PCA with Self-supervised Learning
  Harry Dong, Megna Shah, Sean Donegan, Yuejie Chi
  IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2023

  • Also presented at the Third Workshop on Seeking Low‑Dimensionality in Deep Neural Networks, 2023.

• Learning Optimal Traffic Routing Behaviors using Markovian Framework in Microscopic Simulation
  Theophile Cabannes, Jiayi Li, Fangyu Wu, Harry Dong, Alexandre Bayen
  TRB 99th Annual Meeting, 2020

Workshops

• Towards Low-bit Communication for Tensor Parallel LLM Inference
  Harry Dong, Tyler Johnson, Minsik Cho, Emad Soroush
  NeurIPS Workshop on Efficient Natural Language and Speech Processing IV, 2024

• Towards Structured Sparsity in Transformers for Efficient Inference
  Harry Dong, Beidi Chen, Yuejie Chi
  ICML Workshop on Efficient Systems for Foundation Models, 2023