Hard Non-Monotonic Attention for Character-Level Transduction. - Shijie Wu; Pamela Shapiro; Ryan Cotterell (EMNLP, 2018)

Exact Hard Monotonic Attention for Character-Level Transduction. - Shijie Wu; Ryan Cotterell (ACL (1), 2019)

Morphological Irregularity Correlates with Frequency. - Shijie Wu; Ryan Cotterell; Timothy J. O'Donnell (ACL (1), 2019)

Beto, Bentz, Becas: The Surprising Cross-Lingual Effectiveness of BERT. - Shijie Wu; Mark Dredze (EMNLP/IJCNLP (1), 2019)

A Simple Joint Model for Improved Contextual Neural Lemmatization. - Chaitanya Malaviya; Shijie Wu; Ryan Cotterell (NAACL-HLT (1), 2019)

The SIGMORPHON 2019 Shared Task: Morphological Analysis in Context and Cross-Lingual Transfer for Inflection. - Arya D. McCarthy; Ekaterina Vylomova; Shijie Wu; Chaitanya Malaviya; Lawrence Wolf-Sonkin; Garrett Nicolai; Christo Kirov; Miikka Silfverberg; S. J. Mielke; Jeffrey Heinz; Ryan Cotterell; Mans Hulden (CoRR, 2019)

Emerging Cross-lingual Structure in Pretrained Language Models. - Alexis Conneau; Shijie Wu; Haoran Li 007; Luke Zettlemoyer; Veselin Stoyanov (ACL, 2020)

The Paradigm Discovery Problem. - Alexander Erdmann; Micha Elsner; Shijie Wu; Ryan Cotterell; Nizar Habash (ACL, 2020)

Do Explicit Alignments Robustly Improve Multilingual Encoders? - Shijie Wu; Mark Dredze (EMNLP (1), 2020)

Which *BERT? A Survey Organizing Contextualized Encoders. - Patrick Xia 002; Shijie Wu; Benjamin Van Durme (EMNLP (1), 2020)

Are All Languages Created Equal in Multilingual BERT? - Shijie Wu; Mark Dredze (RepL4NLP@ACL, 2020)

The SIGMORPHON 2020 Shared Task on Multilingual Grapheme-to-Phoneme Conversion. - Kyle Gorman; Lucas F. E. Ashby; Aaron Goyzueta; Arya McCarthy; Shijie Wu; Daniel You (SIGMORPHON, 2020)

SIGMORPHON 2020 Shared Task 0: Typologically Diverse Morphological Inflection. - Ekaterina Vylomova; Jennifer C. White; Elizabeth Salesky; Sabrina J. Mielke; Shijie Wu; Edoardo Maria Ponti; Rowan Hall Maudslay; Ran Zmigrod; Josef Valvoda; Svetlana Toldova; Francis M. Tyers; Elena Klyachko; et al. (SIGMORPHON, 2020)

Applying the Transformer to Character-level Transduction. - Shijie Wu; Ryan Cotterell; Mans Hulden (EACL, 2021)

Everything Is All It Takes: A Multipronged Strategy for Zero-Shot Cross-Lingual Information Extraction. - Mahsa Yarmohammadi; Shijie Wu; Marc Marone; Haoran Xu; Seth Ebner; Guanghui Qin; Yunmo Chen; Jialiang Guo; Craig Harman; Kenton Murray; Aaron Steven White; Mark Dredze; et al. (EMNLP (1), 2021)

Differentiable Generative Phonology. - Shijie Wu; Edoardo Maria Ponti; Ryan Cotterell (CoRR, 2021)

Triple Attention Network architecture for MovieQA. - Ankit Shah; Tzu-Hsiang Lin; Shijie Wu (CoRR, 2021)

Weighted citation based on ranking-related contribution: a new index for evaluating article impact. - Yuanyuan Liu; Qiang Wu 002; Shijie Wu; Yong Gao (Scientometrics, 2021)

BoundaryFace: A Mining Framework with Noise Label Self-correction for Face Recognition. - Shijie Wu; Xun Gong 002 (ECCV (13), 2022)

Bernice: A Multilingual Pre-trained Encoder for Twitter. - Alexandra DeLucia; Shijie Wu; Aaron Mueller; Carlos Alejandro Aguirre; Philip Resnik; Mark Dredze (EMNLP, 2022)

Cross-lingual Few-Shot Learning on Unseen Languages. - Genta Indra Winata; Shijie Wu; Mayank Kulkarni; Thamar Solorio; Daniel Preotiuc-Pietro (AACL/IJCNLP (1), 2022)

Zero-shot Cross-lingual Transfer is Under-specified Optimization. - Shijie Wu; Benjamin Van Durme; Mark Dredze (RepL4NLP@ACL, 2022)

How Do Multilingual Encoders Learn Cross-lingual Representation? - Shijie Wu (CoRR, 2022)

BoundaryFace: A mining framework with noise label self-correction for Face Recognition. - Shijie Wu; Xun Gong (CoRR, 2022)

Overcoming Catastrophic Forgetting in Massively Multilingual Continual Learning. - Genta Indra Winata; Lingjue Xie; Karthik Radhakrishnan; Shijie Wu; Xisen Jin; Pengxiang Cheng 001; Mayank Kulkarni; Daniel Preotiuc-Pietro (ACL (Findings), 2023)

MixCE: Training Autoregressive Language Models by Mixing Forward and Reverse Cross-Entropies. - Shiyue Zhang 001; Shijie Wu; Ozan Irsoy; Steven Lu 003; Mohit Bansal; Mark Dredze; David S. Rosenberg (ACL (1), 2023)

Towards a Unified Multi-Domain Multilingual Named Entity Recognition Model. - Mayank Kulkarni; Daniel Preotiuc-Pietro; Karthik Radhakrishnan; Genta Indra Winata; Shijie Wu; Lingjue Xie; Shaohua Yang (EACL, 2023)

BloombergGPT: A Large Language Model for Finance. - Shijie Wu; Ozan Irsoy; Steven Lu 003; Vadim Dabravolski; Mark Dredze; Sebastian Gehrmann; Prabhanjan Kambadur; David S. Rosenberg; Gideon Mann (CoRR, 2023)

Academics Can Contribute to Domain-Specialized Language Models. - Mark Dredze; Genta Indra Winata; Prabhanjan Kambadur; Shijie Wu; Ozan Irsoy; Steven Lu 003; Vadim Dabravolski; David S. Rosenberg; Sebastian Gehrmann (EMNLP, 2024)

AffordDP: Generalizable Diffusion Policy with Transferable Affordance. - Shijie Wu; Yihang Zhu; Yunao Huang; Kaizhen Zhu; Jiayuan Gu; Jingyi Yu; Ye Shi 001; Jingya Wang (CVPR, 2025)