Newspaper Circulation Volume Modeling and Prediction via Time Series Analysis: A Case Study. - Kevin Yang; Jiann-Shiou Yang (MSV, 2007)

A Regional Health Information Exchange: Architecture and Implementation. - Mark E. Frisse; Janet K. King; Will B. Rice; Lianhong Tang; Jameson P. Porter; Timothy A. Coffman; Michael Assink; Kevin Yang; Monroe Wesley; Rodney L. Holmes; Cynthia S. Gadd; Kevin B. Johnson; et al. (AMIA, 2008)

The MidSouth eHealth Alliance: Use and Impact in the First Year. - Kevin B. Johnson; Cynthia S. Gadd; Dominik Aronsky; Kevin Yang; Lianhong Tang; Vicki Y. Estrin; Janet K. King; Mark E. Frisse (AMIA, 2008)

Routing in SONET/VCAT based optical WDM networks (Invited Paper). - Kevin Yang; Krishna M. Sivalingam (BROADNETS, 2009)

Accelerated Gradient and Block-Wise Gradient Methods for Big Data Factorization. - M. Reza Peyghami; Kevin Yang; Shengyuan Chen; Zijiang Yang 001; Masoud Ataei (Canadian AI, 2018)

Learning Multimodal Graph-to-Graph Translation for Molecular Optimization. - Wengong Jin; Kevin Yang; Regina Barzilay; Tommi S. Jaakkola (CoRR, 2018)

Learning Multimodal Graph-to-Graph Translation for Molecule Optimization. - Wengong Jin; Kevin Yang; Regina Barzilay; Tommi S. Jaakkola (ICLR (Poster), 2019)

Demonstration of SpeakQL: Speech-driven Multimodal Querying of Structured Data. - Vraj Shah; Side Li; Kevin Yang; Arun Kumar 001; Lawrence K. Saul (SIGMOD Conference, 2019)

Are Learned Molecular Representations Ready For Prime Time? - Kevin Yang; Kyle Swanson; Wengong Jin; Connor W. Coley; Philipp Eiden; Hua Gao; Angel Guzman-Perez; Timothy Hopper; Brian Kelley; Miriam Mathea; Andrew Palmer; Volker Settels; et al. (CoRR, 2019)

Analyzing Learned Molecular Representations for Property Prediction. - Kevin Yang; Kyle Swanson; Wengong Jin; Connor W. Coley; Philipp Eiden; Hua Gao; Angel Guzman-Perez; Timothy Hopper; Brian Kelley; Miriam Mathea; Andrew Palmer; Volker Settels; et al. (J. Chem. Inf. Model., 2019)

Correction to Analyzing Learned Molecular Representations for Property Prediction. - Kevin Yang; Kyle Swanson; Wengong Jin; Connor W. Coley; Philipp Eiden; Hua Gao; Angel Guzman-Perez; Timothy Hopper; Brian Kelley; Miriam Mathea; Andrew Palmer; Volker Settels; et al. (J. Chem. Inf. Model., 2019)

A Streaming Approach For Efficient Batched Beam Search. - Kevin Yang; Violet Yao; John DeNero; Dan Klein 001 (EMNLP (1), 2020)

Improving Molecular Design by Stochastic Iterative Target Augmentation. - Kevin Yang; Wengong Jin; Kyle Swanson; Regina Barzilay; Tommi S. Jaakkola (ICML, 2020)

Tracking Flooding Phase Transitions and Establishing a Passive Hotline With AI-Enabled Social Media Data. - Ruoqian Wang; Yingjie Hu; Zikai Zhou; Kevin Yang (IEEE Access, 2020)

Uncertainty Quantification Using Neural Networks for Molecular Property Prediction. - Lior Hirschfeld; Kyle Swanson; Kevin Yang; Regina Barzilay; Connor W. Coley (J. Chem. Inf. Model., 2020)

FUDGE: Controlled Text Generation With Future Discriminators. - Kevin Yang; Dan Klein 001 (NAACL-HLT, 2021)

Learning Space Partitions for Path Planning. - Kevin Yang; Tianjun Zhang; Chris Cummins; Brandon Cui; Benoit Steiner; Linnan Wang; Joseph E. Gonzalez; Dan Klein 001; Yuandong Tian (NeurIPS, 2021)

Towards Benchmarking Feature Type Inference for AutoML Platforms. - Vraj Shah; Jonathan Lacanlale; Premanand Kumar; Kevin Yang; Arun Kumar 001 (SIGMOD Conference, 2021)

Anticipating Ambulatory Automation: Potential Applications of Administrative and Clinical Automation in Outpatient Healthcare Delivery. - Kevin Yang; Vinod E. Nambudiri (Appl. Clin. Inform., 2021)

Multi-objective Optimization by Learning Space Partitions. - Yiyang Zhao; Linnan Wang; Kevin Yang; Tianjun Zhang; Tian Guo 001; Yuandong Tian (CoRR, 2021)

Ultrasound image analysis technology under deep belief networks in evaluation on the effects of diagnosis and chemotherapy of cervical cancer. - Hongzhen Zhou; Shuyuan Wang; Tao Zhang; Demei Liu; Kevin Yang (J. Supercomput., 2021)

Automated Crossword Solving. - Eric Wallace; Nicholas Tomlin; Albert Xu; Kevin Yang; Eshaan Pathak; Matthew L. Ginsberg; Dan Klein 001 (ACL (1), 2022)

Addressing Resource and Privacy Constraints in Semantic Parsing Through Data Augmentation. - Kevin Yang; Olivia Deng; Charles Chen; Richard Shin; Subhro Roy; Benjamin Van Durme (ACL (Findings), 2022)

Clinical Informatics Educational Requirements in United States ACGME-Accredited Residency Programs. - Kevin Yang; Vinod E. Nambudiri (AMIA, 2022)

Characterization of a Temporary Peripheral Nerve Stimulation Electrode Utilizing a Bioabsorbable Suture Substrate. - Derrick X. Liu; Danny Viet Lam; Yingyi Gao; Rachel C. LeBlanc; Alyssa A. Usab; Elizabeth S. Fielding; Charlotte L. Brunkalla; Kevin Yang; Andrew J. Shoffstall (EMBC, 2022)

Re3: Generating Longer Stories With Recursive Reprompting and Revision. - Kevin Yang; Yuandong Tian; Nanyun Peng 001; Dan Klein 001 (EMNLP, 2022)

Multi-objective Optimization by Learning Space Partition. - Yiyang Zhao; Linnan Wang; Kevin Yang; Tianjun Zhang; Tian Guo 001; Yuandong Tian (ICLR, 2022)

Exploring evolution-aware & -free protein language models as protein function predictors. - Mingyang Hu; Fajie Yuan; Kevin Yang; Fusong Ju; Jin Su; Hui Wang; Fei Yang; Qiuyang Ding (NeurIPS, 2022)

PREADD: Prefix-Adaptive Decoding for Controlled Text Generation. - Jonathan Pei; Kevin Yang; Dan Klein 001 (ACL (Findings), 2023)

Modular Visual Question Answering via Code Generation. - Sanjay Subramanian; Medhini Narasimhan; Kushal Khangaonkar; Kevin Yang; Arsha Nagrani; Cordelia Schmid; Andy Zeng 001; Trevor Darrell; Dan Klein 001 (ACL (2), 2023)

DOC: Improving Long Story Coherence With Detailed Outline Control. - Kevin Yang; Dan Klein 001; Nanyun Peng 001; Yuandong Tian (ACL (1), 2023)

Improving Pacing in Long-Form Story Planning. - Yichen Wang; Kevin Yang; Xiaoming Liu; Dan Klein 001 (EMNLP (Findings), 2023)

RLCD: Reinforcement Learning from Contrast Distillation for Language Model Alignment. - Kevin Yang; Dan Klein 001; Asli Celikyilmaz; Nanyun Peng 001; Yuandong Tian (CoRR, 2023)

Learning Personalized Story Evaluation. - Danqing Wang; Kevin Yang; Hanlin Zhu; Xiaomeng Yang; Andrew Cohen; Lei Li 005; Yuandong Tian (CoRR, 2023)

End-to-end Story Plot Generator. - Hanlin Zhu; Andrew Cohen; Danqing Wang; Kevin Yang; Xiaomeng Yang; Jiantao Jiao; Yuandong Tian (CoRR, 2023)

Lower-Order Biases in the Second Moment of Dirichlet Coefficients in Families of L-Functions. - Megumi Asada; Ryan C. Chen; Eva Fourakis; Yujin Hong Kim; Andrew Kwon; Jared Duker Lichtman; Blake Mackall; Steven J. Miller 001; Eric Winsor; Karl Winsor; Jianing Yang; Kevin Yang (Exp. Math., 2023)

Learning Personalized Alignment for Evaluating Open-ended Text Generation. - Danqing Wang; Kevin Yang; Hanlin Zhu; Xiaomeng Yang; Andrew Cohen; Lei Li 005; Yuandong Tian (EMNLP, 2024)

RLCD: Reinforcement Learning from Contrastive Distillation for LM Alignment. - Kevin Yang; Dan Klein 001; Asli Celikyilmaz; Nanyun Peng 001; Yuandong Tian (ICLR, 2024)

FACTTRACK: Time-Aware World State Tracking in Story Outlines. - Zhiheng Lyu; Kevin Yang; Lingpeng Kong; Daniel Klein 001 (CoRR, 2024)

ThoughtSculpt: Reasoning with Intermediate Revision and Search. - Yizhou Chi; Kevin Yang; Dan Klein 001 (NAACL (Findings), 2025)

FactTrack: Time-Aware World State Tracking in Story Outlines. - Zhiheng Lyu; Kevin Yang; Lingpeng Kong; Dan Klein (NAACL (Long Papers), 2025)