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JY

Jie Yang

Computer Science

Harvard University

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About Jie Yang at Harvard University (Harvard)

As a dedicated researcher at Harvard University–Ann Arbor, Jie Yang has developed a specialized expertise in Topic Modeling, Natural Language Processing, Misinformation Detection, Large Language Models, Causal Inference, Biomedical Informatics, Computational Social Science. A representative example of their recent contribution is the study titled "The combination of precipitative softening and ozonation as a pretreatment of ultrafiltration in flowback water treatment: performance and fouling analysis", which offers critical insights into the dynamics of Topic Modeling and Natural Language Processing. Additional work such as "Fouling and chemically enhanced backwashing performance of low-pressure membranes during the treatment of shale gas produced water" further demonstrates their commitment to advancing knowledge in this domain.

Research Areas

Topic ModelingNatural Language ProcessingMisinformation DetectionLarge Language ModelsCausal InferenceBiomedical InformaticsComputational Social Science

Academic Impact Matrix

Research output metrics for Jie Yang aggregated from public academic databases. Student lab experience data is pending.

Academic data verified · April 2026 · Next sync: May 2026

Research Output

Total Citations57

Emerging researcher

Publications17

Selective publication record

h-index5

Developing track record

i10-index1

Early-stage portfolio

Lab Environment

No lab data yet for Jie Yang

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