Improved Chinese broadcast news transcription by language modeling with temporally consistent training corpora and iterative phrase extraction. - Pi-Chuan Chang; Shuo-Peng Liao; Lin-Shan Lee (INTERSPEECH, 2003)

A Conditional Random Field Word Segmenter for Sighan Bakeoff 2005. - Huihsin Tseng; Pi-Chuan Chang; Galen Andrew; Daniel Jurafsky; Christopher D. Manning (SIGHAN@IJCNLP 2005, 2005)

Automatically Detecting Action Items in Audio Meeting Recordings. - William Morgan; Pi-Chuan Chang; Surabhi Gupta; Jason M. Brenier (SIGDIAL Workshop, 2006)

A Discriminative Syntactic Word Order Model for Machine Translation. - Pi-Chuan Chang; Kristina Toutanova (ACL, 2007)

Optimizing Chinese Word Segmentation for Machine Translation Performance. - Pi-Chuan Chang; Michel Galley; Christopher D. Manning (WMT@ACL, 2008)

Discriminative Reordering with Chinese Grammatical Relations Features. - Pi-Chuan Chang; Huihsin Tseng; Dan Jurafsky; Christopher D. Manning (SSST@HLT-NAACL, 2009)

Disambiguating "DE" for Chinese-English Machine Translation. - Pi-Chuan Chang; Daniel Jurafsky; Christopher D. Manning (WMT@EACL, 2009)

Improving Chinese-English machine translation through better source-side linguistic processing. - Pi-Chuan Chang (2009)

Uptraining for Accurate Deterministic Question Parsing. - Slav Petrov; Pi-Chuan Chang; Michael Ringgaard; Hiyan Alshawi (EMNLP, 2010)

Deterministic Statistical Mapping of Sentences to Underspecified Semantics. - Hiyan Alshawi; Pi-Chuan Chang; Michael Ringgaard (IWCS, 2011)

Learning from Data-Rich Problems: A Case Study on Genetic Variant Calling. - Ren Yi; Pi-Chuan Chang; Gunjan Baid; Andrew Carroll (CoRR, 2019)

Accurate, scalable cohort variant calls using DeepVariant and GLnexus. - Taedong Yun; Helen Li; Pi-Chuan Chang; Michael F. Lin; Andrew Carroll; Cory Y. McLean (Bioinform., 2021)

Knowledge distillation for fast and accurate DNA sequence correction. - Anastasiya Belyaeva; Joel Shor; Daniel E. Cook; Kishwar Shafin; Daniel Liu; Armin Töpfer; Aaron M. Wenger; William J. Rowell; Howard Yang; Alexey Kolesnikov; Cory Y. McLean; Maria Nattestad; et al. (CoRR, 2022)

Towards Generalist Biomedical AI. - Tao Tu 001; Shekoofeh Azizi; Danny Driess; Mike Schaekermann; Mohamed Amin; Pi-Chuan Chang; Andrew Carroll; Chuck Lau; Ryutaro Tanno; Ira Ktena; Basil Mustafa; Aakanksha Chowdhery; et al. (CoRR, 2023)

Improving variant calling using population data and deep learning. - Nae-Chyun Chen; Alexey Kolesnikov; Sidharth Goel; Taedong Yun; Pi-Chuan Chang; Andrew Carroll (BMC Bioinform., 2023)