Select Papers

Fairify: Fairness Verification of Neural Networks

ICSE '23

Decomposing a Recurrent Neural Network into Modules for Enabling Reusability and Replacement

ICSE '23

Towards Understanding Fairness and its Composition in Ensemble Machine Learning

ICSE '23

23 Shades of Self-Admitted Technical Debt: An Empirical Study on Machine Learning Software

ESEC-FSE '22

The Art and Practice of Data Science Pipelines: A Comprehensive Study of Data Science Pipelines In Theory, In-The-Small, and In-The-Large

ICSE '22

Decomposing Convolutional Neural Networks into Reusable and Replaceable Modules

ICSE '22

DeepDiagnosis: Automatically Diagnosing Faults and Recommending Actionable Fixes in Deep Learning Programs

ICSE '22

Manas: Mining Software Repositories to Assist AutoML

ICSE '22

Semantics and Anomaly Preserving Sampling Strategy for Large-Scale Time Series Data

TDS '22

Fair Preprocessing: Towards Understanding Compositional Fairness of Data Transformers in Machine Learning Pipeline

ESEC-FSE '21

On Decomposing a Deep Neural Network into Modules

ESEC-FSE '20

Do the Machine Learning Models on a Crowd Sourced Platform Exhibit Bias? An Empirical Study on Model Fairness

ESEC-FSE '20

Repairing Deep Neural Networks Fix Patterns and Challenges

ICSE '20

BCFA Bespoke Control Flow Analysis for CFA at Scale

ICSE '20

A Comprehensive Study on Deep Learning Bug Characteristics

ESEC-FSE '19

Large-scale Study of Substitutability in the Presence of Effects

FSE '18

Collective Program Analysis

ICSE '18

Are Code Examples on an Online Q&A Forum Reliable? A Study of API Misuse on Stack Overflow

ICSE '18

Exploiting Implicit Beliefs to Resolve Sparse Usage Problem in Usage-based Specification Mining

OOPSLA '17

On Accelerating Ultra-Large-Scale Mining

ICSE '17 (NIER)

Capsule-Oriented Programming

ICSE '15 (NIER)

Boa: Ultra-Large-Scale Software Repository and Source-Code Mining

TOSEM '15

Inferring Behavioral Specifications from Large-scale Repositories by Leveraging Collective Intelligence

ICSE '15 (NIER)

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