Critics: an interactive code review tool for searching and inspecting systematic changes. - Tianyi Zhang 001; Myoungkyu Song; Miryung Kim (SIGSOFT FSE, 2014)

Interactive Code Review for Systematic Changes. - Tianyi Zhang 001; Myoungkyu Song; Joseph Pinedo; Miryung Kim (ICSE (1), 2015)

Automated transplantation and differential testing for clones. - Tianyi Zhang 001; Miryung Kim (ICSE, 2017)

Visualizing API Usage Examples at Scale. - Elena L. Glassman; Tianyi Zhang 001; Björn Hartmann; Miryung Kim (CHI, 2018)

Grafter: transplantation and differential testing for clones. - Tianyi Zhang 001; Miryung Kim (ICSE (Companion Volume), 2018)

Are code examples on an online Q&A forum reliable?: a study of API misuse on stack overflow. - Tianyi Zhang 001; Ganesha Upadhyaya; Anastasia Reinhardt; Hridesh Rajan; Miryung Kim (ICSE, 2018)

Augmenting stack overflow with API usage patterns mined from GitHub. - Anastasia Reinhardt; Tianyi Zhang 001; Mihir Mathur; Miryung Kim (ESEC/SIGSOFT FSE, 2018)

Software Evolution. - Miryung Kim; Na Meng 001; Tianyi Zhang 001 (Handbook of Software Engineering, 2019)

Analyzing and supporting adaptation of online code examples. - Tianyi Zhang 001; Di Yang 001; Cristina V. Lopes; Miryung Kim (ICSE, 2019)

Active inductive logic programming for code search. - Aishwarya Sivaraman; Tianyi Zhang 001; Guy Van den Broeck; Miryung Kim (ICSE, 2019)

An Empirical Study of Common Challenges in Developing Deep Learning Applications. - Tianyi Zhang 001; Cuiyun Gao 001; Lei Ma 003; Michael R. Lyu; Miryung Kim (ISSRE, 2019)

Leveraging Program Commonalities and Variations for Systematic Software Development and Maintenance. - Tianyi Zhang 001 (2019)

Enabling Data-Driven API Design with Community Usage Data: A Need-Finding Study. - Tianyi Zhang 001; Björn Hartmann; Miryung Kim; Elena L. Glassman (CHI, 2020)

ICS-Assist: Intelligent Customer Inquiry Resolution Recommendation in Online Customer Service for Large E-Commerce Businesses. - Min Fu 001; Jiwei Guan; James Xi Zheng; Jie Zhou; Jianchao Lu; Tianyi Zhang 001; Shoujie Zhuo; Lijun Zhan; Jian Yang 001 (ICSOC, 2020)

An Analysis of Adversarial Attacks and Defenses on Autonomous Driving Models. - Yao Deng; James Xi Zheng; Tianyi Zhang 001; Chen Chen; Guannan Lou; Miryung Kim (PerCom, 2020)

Exempla gratis (E.G.): code examples for free. - Celeste Barnaby; Koushik Sen; Tianyi Zhang 001; Elena L. Glassman; Satish Chandra 001 (ESEC/SIGSOFT FSE, 2020)

JShrink: in-depth investigation into debloating modern Java applications. - Bobby R. Bruce; Tianyi Zhang 001; Jaspreet Arora; Guoqing Harry Xu; Miryung Kim (ESEC/SIGSOFT FSE, 2020)

WebJShrink: a web service for debloating Java bytecode. - Konner Macias; Mihir Mathur; Bobby R. Bruce; Tianyi Zhang 001; Miryung Kim (ESEC/SIGSOFT FSE, 2020)

Interactive Program Synthesis by Augmented Examples. - Tianyi Zhang 001; London Lowmanstone; Xinyu Wang 006; Elena L. Glassman (UIST, 2020)

An ensemble learning approach for software semantic clone detection. - Min Fu 001; Gang Luo; James Xi Zheng; Tianyi Zhang 001; Dongjin Yu; Miryung Kim (CoRR, 2020)

RMT: Rule-based Metamorphic Testing for Autonomous Driving Models. - Yao Deng; Xi Zheng 001; Tianyi Zhang 001; Guannan Lou; Huai Liu; Miryung Kim (CoRR, 2020)

Interpretable Program Synthesis. - Tianyi Zhang 001; Zhiyang Chen 004; Yuanli Zhu; Priyan Vaithilingam; Xinyu Wang 006; Elena L. Glassman (CHI, 2021)

Visualizing Examples of Deep Neural Networks at Scale. - Litao Yan; Elena L. Glassman; Tianyi Zhang 001 (CHI, 2021)

BMT: Behavior Driven Development-based Metamorphic Testing for Autonomous Driving Models. - Yao Deng; Guannan Lou; James Xi Zheng; Tianyi Zhang 001; Miryung Kim; Huai Liu; Chen Wang 008; Tsong Yueh Chen (MET@ICSE, 2021)

Interactive Cohort Analysis and Hypothesis Discovery by Exploring Temporal Patterns in Population-Level Health Records. - Tianyi Zhang 001; Thomas H. McCoy; Roy H. Perlis; Finale Doshi-Velez; Elena L. Glassman (VAHC, 2021)

An investigation into the state-of-the-practice autonomous driving testing. - Guannan Lou; Yao Deng; Xi Zheng 001; Tianyi Zhang 001; Mengshi Zhang (CoRR, 2021)

Can Steering Wheel Detect Your Driving Fatigue? - Jianchao Lu; Xi Zheng 001; Lihong Tang; Tianyi Zhang 001; Quan Z. Sheng; Chen Wang 008; Jiong Jin; Shui Yu 001; Wanlei Zhou 001 (IEEE Trans. Veh. Technol., 2021)

Expectation vs. Experience: Evaluating the Usability of Code Generation Tools Powered by Large Language Models. - Priyan Vaithilingam; Tianyi Zhang 001; Elena L. Glassman (CHI Extended Abstracts, 2022)

When Cyber-Physical Systems Meet AI: A Benchmark, an Evaluation, and a Way Forward. - Jiayang Song; Deyun Lyu; Zhenya Zhang; Zhijie Wang 014; Tianyi Zhang 001; Lei Ma 003 (ICSE (SEIP), 2022)

SOSum: A Dataset of Stack Overflow Post Summaries. - Bonan Kou; Yifeng Di; Muhao Chen 001; Tianyi Zhang 001 (MSR, 2022)

Scenario-based test reduction and prioritization for multi-module autonomous driving systems. - Yao Deng; Xi Zheng 001; Mengshi Zhang; Guannan Lou; Tianyi Zhang 001 (ESEC/SIGSOFT FSE, 2022)

Testing of autonomous driving systems: where are we and where should we go? - Guannan Lou; Yao Deng; Xi Zheng 001; Mengshi Zhang; Tianyi Zhang 001 (ESEC/SIGSOFT FSE, 2022)

Concept-Annotated Examples for Library Comparison. - Litao Yan; Miryung Kim; Bjoern Hartmann; Tianyi Zhang 001; Elena L. Glassman (UIST, 2022)

INTENT: Interactive Tensor Transformation Synthesis. - Zhanhui Zhou; Man To Tang; Qiping Pan; Shangyin Tan; Xinyu Wang 006; Tianyi Zhang 001 (UIST, 2022)

DeepLens: Interactive Out-of-distribution Data Detection in NLP Models. - Da Song; Zhijie Wang 014; Yuheng Huang 004; Lei Ma 003; Tianyi Zhang 001 (CHI, 2023)

DeepSeer: Interactive RNN Explanation and Debugging via State Abstraction. - Zhijie Wang 014; Yuheng Huang 004; Da Song; Lei Ma 003; Tianyi Zhang 001 (CHI, 2023)

Interactive Text-to-SQL Generation via Editable Step-by-Step Explanations. - Yuan Tian; Zheng Zhang 043; Zheng Ning; Toby Jia-Jun Li; Jonathan K. Kummerfeld; Tianyi Zhang 001 (EMNLP, 2023)

Automated Summarization of Stack Overflow Posts. - Bonan Kou; Muhao Chen 001; Tianyi Zhang 001 (ICSE, 2023)

An Empirical Study of Model Errors and User Error Discovery and Repair Strategies in Natural Language Database Queries. - Zheng Ning; Zheng Zhang 043; Tianyi Sun; Yuan Tian; Tianyi Zhang 001; Toby Jia-Jun Li (IUI, 2023)

Software Entity Recognition with Noise-Robust Learning. - Tai Nguyen 005; Yifeng Di; Joohan Lee; Muhao Chen 001; Tianyi Zhang 001 (ASE, 2023)

Rapid Image Labeling via Neuro-Symbolic Learning. - Yifeng Wang 002; Zhi Tu; Yiwen Xiang; Shiyuan Zhou; Xiyuan Chen; Bingxuan Li; Tianyi Zhang 001 (KDD, 2023)

Knowledge-Based Version Incompatibility Detection for Deep Learning. - Zhongkai Zhao; Bonan Kou; Mohamed Yilmaz Ibrahim; Muhao Chen 001; Tianyi Zhang 001 (ESEC/SIGSOFT FSE, 2023)

MIWA: Mixed-Initiative Web Automation for Better User Control and Confidence. - Weihao Chen; Xiaoyu Liu; Jiacheng Zhang; Ian Iong Lam; Zhicheng Huang; Rui Dong 006; Xinyu Wang 006; Tianyi Zhang 001 (UIST, 2023)

AutoRepair: Automated Repair for AI-Enabled Cyber-Physical Systems under Safety-Critical Conditions. - Deyun Lyu; Jiayang Song; Zhenya Zhang; Zhijie Wang 014; Tianyi Zhang 001; Lei Ma 003; Jianjun Zhao 001 (CoRR, 2023)

TARGET: Traffic Rule-based Test Generation for Autonomous Driving Systems. - Yao Deng; Jiaohong Yao; Zhi Tu; Xi Zheng 001; Mengshi Zhang; Tianyi Zhang 001 (CoRR, 2023)

Interactive Text-to-SQL Generation via Editable Step-by-Step Explanations. - Yuan Tian; Toby Jia-Jun Li; Jonathan K. Kummerfeld; Tianyi Zhang 001 (CoRR, 2023)

Is Model Attention Aligned with Human Attention? An Empirical Study on Large Language Models for Code Generation. - Bonan Kou; Shengmai Chen; Zhijie Wang 014; Lei Ma 003; Tianyi Zhang 001 (CoRR, 2023)

Who Answers It Better? An In-Depth Analysis of ChatGPT and Stack Overflow Answers to Software Engineering Questions. - Samia Kabir; David N. Udo-Imeh; Bonan Kou; Tianyi Zhang 001 (CoRR, 2023)

A Declarative Metamorphic Testing Framework for Autonomous Driving. - Yao Deng; James Xi Zheng; Tianyi Zhang 001; Huai Liu; Guannan Lou; Miryung Kim; Tsong Yueh Chen (IEEE Trans. Software Eng., 2023)

STILE: Exploring and Debugging Social Biases in Pre-trained Text Representations. - Samia Kabir; Lixiang Li 007; Tianyi Zhang 001 (CHI, 2024)

Is Stack Overflow Obsolete? An Empirical Study of the Characteristics of ChatGPT Answers to Stack Overflow Questions. - Samia Kabir; David N. Udo-Imeh; Bonan Kou; Tianyi Zhang 001 (CHI, 2024)

PromptCharm: Text-to-Image Generation through Multi-modal Prompting and Refinement. - Zhijie Wang 014; Yuheng Huang 004; Da Song; Lei Ma 003; Tianyi Zhang 001 (CHI, 2024)

DL3DV-10K: A Large-Scale Scene Dataset for Deep Learning-based 3D Vision. - Lu Ling; Yichen Sheng; Zhi Tu; Wentian Zhao; Cheng Xin; Kun Wan 001; Lantao Yu; Qianyu Guo; Zixun Yu; Yawen Lu; Xuanmao Li; Xingpeng Sun; et al. (CVPR, 2024)

Automated Deep Learning Optimization via DSL-Based Source Code Transformation. - Ruixin Wang; Minghai Lu; Cody Hao Yu; Yi-Hsiang Lai; Tianyi Zhang 001 (ISSTA, 2024)

Proof Automation with Large Language Models. - Minghai Lu; Benjamin Delaware; Tianyi Zhang 001 (ASE, 2024)

Decide: Knowledge-Based Version Incompatibility Detection in Deep Learning Stacks. - Zihan Zhou; Zhongkai Zhao; Bonan Kou; Tianyi Zhang 001 (SIGSOFT FSE Companion, 2024)

SQLucid: Grounding Natural Language Database Queries with Interactive Explanations. - Yuan Tian; Jonathan K. Kummerfeld; Toby Jia-Jun Li; Tianyi Zhang 001 (UIST, 2024)

Where Do Large Language Models Fail When Generating Code? - Zhijie Wang 014; Zijie Zhou; Da Song; Yuheng Huang 004; Shengmai Chen; Lei Ma 003; Tianyi Zhang 001 (CoRR, 2024)

Collu-Bench: A Benchmark for Predicting Language Model Hallucinations in Code. - Nan Jiang 012; Qi Li; Lin Tan 001; Tianyi Zhang 001 (CoRR, 2024)

Do Large Language Models Pay Similar Attention Like Human Programmers When Generating Code? - Bonan Kou; Shengmai Chen; Zhijie Wang 014; Lei Ma 003; Tianyi Zhang 001 (Proc. ACM Softw. Eng., 2024)

Insights into Natural Language Database Query Errors: from Attention Misalignment to User Handling Strategies. - Zheng Ning; Yuan Tian; Zheng Zhang 043; Tianyi Zhang 001; Toby Jia-Jun Li (ACM Trans. Interact. Intell. Syst., 2024)

Dango: A Mixed-Initiative Data Wrangling System using Large Language Model. - Wei-Hao Chen; Weixi Tong; Amanda Case; Tianyi Zhang 001 (CHI, 2025)

Enhancing Code Generation via Bidirectional Comment-Level Mutual Grounding. - Yifeng Di; Tianyi Zhang 001 (ICSE, 2025)

Towards Understanding the Characteristics of Code Generation Errors Made by Large Language Models. - Zhijie Wang 014; Zijie Zhou; Da Song; Yuheng Huang 004; Shengmai Chen; Lei Ma 003; Tianyi Zhang 001 (ICSE, 2025)

Text-to-SQL Domain Adaptation via Human-LLM Collaborative Data Annotation. - Yuan Tian; Daniel Lee; Fei Wu; Tung Mai; Kun Qian 002; Siddhartha Sahai; Tianyi Zhang 001; Yunyao Li 001 (IUI, 2025)

HEPHA: A Mixed-Initiative Image Labeling Tool for Specialized Domains. - Shiyuan Zhou; Bingxuan Li; Xiyuan Chen; Zhi Tu; Yifeng Wang 002; Yiwen Xiang; Tianyi Zhang 001 (IUI, 2025)

Show Me Why It's Correct: Saving 1/3 of Debugging Time in Program Repair with Interactive Runtime Comparison. - Ruixin Wang; Zhongkai Zhao; Le Fang; Nan Jiang 012; Yiling Lou; Lin Tan 001; Tianyi Zhang 001 (Proc. ACM Program. Lang., 2025)

Towards Understanding Fine-Grained Programming Mistakes and Fixing Patterns in Data Science. - Wei-Hao Chen; Jia Lin Cheoh; Manthan Keim; Sabine Brunswicker; Tianyi Zhang 001 (Proc. ACM Softw. Eng., 2025)

Multi-modal Traffic Scenario Generation for Autonomous Driving System Testing. - Zhi Tu; Liangkun Niu; Wei Fan; Tianyi Zhang 001 (Proc. ACM Softw. Eng., 2025)

Active Layer-Contrastive Decoding Reduces Hallucination in Large Language Model Generation. - Hongxiang Zhang; Hao Chen; Muhao Chen 001; Tianyi Zhang 001 (CoRR, 2025)

TARGET: Traffic Rule-Based Test Generation for Autonomous Driving via Validated LLM-Guided Knowledge Extraction. - Yao Deng; Zhi Tu; Jiaohong Yao; Mengshi Zhang; Tianyi Zhang 001; James Xi Zheng (IEEE Trans. Software Eng., 2025)