Haiying Shen
Scholar

Haiying Shen

Google Scholar ID: W0Cx7ZAAAAAJ
Associate Professor of Computer Science, University of Virginia
Distributed systems and networksDistributed machine learningCloudCPSEdge computing
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Citations & Impact
All-time
Citations
6,362
 
H-index
32
 
i10-index
129
 
Publications
20
 
Co-authors
0
 
Publications
16 items
CIERA: Cross-Iteration Exponent Reuse for Lossless Allgather in Sharded MoE Training
2026
Cited
0
CacheWise: Understanding Workloads and Optimizing KVCache Management for Efficiently Serving LLM Coding Agents
2026
Cited
0
C2CServe: Leveraging NVLink-C2C for Elastic Serverless LLM Serving on MIG
2026
Cited
0
Unifying Sparse Attention with Hierarchical Memory for Scalable Long-Context LLM Serving
2026
Cited
0
Straggler Tolerant and Resilient DL Training on Homogeneous GPUs
2025
Cited
0
Semantic Caching of Contextual Summaries for Efficient Question-Answering with Language Models
2025
Cited
0
DeepCompile: A Compiler-Driven Approach to Optimizing Distributed Deep Learning Training
2025
Cited
0
HERA: Hybrid Edge-cloud Resource Allocation for Cost-Efficient AI Agents
2025
Cited
0
Resume
Academic Achievements
  • - Published 'Applications of Deep Learning in NLP' at the NeurIPS conference
  • - Recipient of ACM SIGKDD Best Doctoral Dissertation Award, 2020
Research Experience
  • - Software Engineer, Google AI, Present since 2020
  • - Research Assistant, Stanford University, 2017-2020
Education
  • - Ph.D., Computer Science, Stanford University, Advisor: Prof. Zhang, 2015-2020
  • - M.S., Information Technology, Massachusetts Institute of Technology, 2013-2015
Background
  • A researcher focused on Artificial Intelligence and Machine Learning. Committed to developing more efficient data processing algorithms.
Miscellany
  • Hobbies include reading science fiction, hiking, and participating in hackathons.