Hao Kang researches LLM agents, agentic inference systems, and efficient machine learning systems.
Referenced in coverage
“Developed ThunderAgent merged into LLM-D for improving agent serving throughput and latency.”
“Co-author of OckBench research on model efficiency and token consumption.”