Array Operators Using Multiple Dispatch: A design methodology for array implementations in dynamic languages. - Jeff Bezanson; Jiahao Chen 001; Stefan Karpinski; Viral B. Shah; Alan Edelman (ARRAY@PLDI, 2014)

Parallel prefix polymorphism permits parallelization, presentation & proof. - Jiahao Chen 001; Alan Edelman (HPTCDL@SC, 2014)

The Right Way to Search Evolving Graphs. - Jiahao Chen 001; Weijian Zhang (IPDPS Workshops, 2016)

Robust benchmarking in noisy environments. - Jiahao Chen 001; Jarrett Revels (CoRR, 2016)

Fast Flexible Function Dispatch in Julia. - Jeff Bezanson; Jake Bolewski; Jiahao Chen 001 (CoRR, 2018)

Fast computation of the principal components of genotype matrices in Julia. - Jiahao Chen 001; Andreas Noack; Alan Edelman (CoRR, 2018)

Linguistic Relativity and Programming Languages. - Jiahao Chen 001 (CoRR, 2018)

Fair lending needs explainable models for responsible recommendation. - Jiahao Chen 001 (CoRR, 2018)

Julia: dynamism and performance reconciled by design. - Jeff Bezanson; Jiahao Chen 001; Benjamin Chung; Stefan Karpinski; Viral B. Shah; Jan Vitek; Lionel Zoubritzky (Proc. ACM Program. Lang., 2018)

Fairness Under Unawareness: Assessing Disparity When Protected Class Is Unobserved. - Jiahao Chen 001; Nathan Kallus; Xiaojie Mao; Geoffry Svacha; Madeleine Udell (FAT, 2019)

Heuristics for Link Prediction in Multiplex Networks. - Robert E. Tillman; Vamsi K. Potluru; Jiahao Chen 001; Prashant P. Reddy; Manuela Veloso (ECAI, 2020)

CryptoCredit: securely training fair models. - Leo de Castro; Jiahao Chen 001; Antigoni Polychroniadou (ICAIF, 2020)

Paying down metadata debt: learning the representation of concepts using topic models. - Jiahao Chen 001; Manuela Veloso (ICAIF, 2020)

Towards self-regulating AI: challenges and opportunities of AI model governance in financial services. - Eren Kurshan; Hongda Shen; Jiahao Chen 001 (ICAIF, 2020)

FACT: A Diagnostic for Group Fairness Trade-offs. - Joon Sik Kim; Jiahao Chen 001; Ameet Talwalkar (ICML, 2020)

Model-Agnostic Characterization of Fairness Trade-offs. - Joon Sik Kim; Jiahao Chen 001; Ameet Talwalkar (CoRR, 2020)

Debiasing classifiers: is reality at variance with expectation? - Ashrya Agrawal; Florian Pfisterer; Bernd Bischl; Jiahao Chen 001; Srijan Sood; Sameena Shah; Francois Buet-Golfouse; Bilal A. Mateen; Sebastian J. Vollmer (CoRR, 2020)

On the current and emerging challenges of developing fair and ethical AI solutions in financial services. - Eren Kurshan; Jiahao Chen 001; Victor Storchan; Hongda Shen (ICAIF, 2021)

Are My Deep Learning Systems Fair? An Empirical Study of Fixed-Seed Training. - Shangshu Qian; Hung Viet Pham; Thibaud Lutellier; Zeou Hu; Jungwon Kim; Lin Tan 001; Yaoliang Yu; Jiahao Chen 001; Sameena Shah (NeurIPS, 2021)

Seven challenges for harmonizing explainability requirements. - Jiahao Chen 001; Victor Storchan (CoRR, 2021)

Ontology drift is a challenge for explainable data governance. - Jiahao Chen 001 (CoRR, 2021)

Beyond Fairness Metrics: Roadblocks and Challenges for Ethical AI in Practice. - Jiahao Chen 001; Victor Storchan; Eren Kurshan (CoRR, 2021)

Can Querying for Bias Leak Protected Attributes? Achieving Privacy With Smooth Sensitivity. - Faisal Hamman; Jiahao Chen 001; Sanghamitra Dutta (FAccT, 2023)

The four-fifths rule is not disparate impact: A woeful tale of epistemic trespassing in algorithmic fairness. - Elizabeth Anne Watkins; Jiahao Chen 001 (FAccT, 2024)