Instruct-Imagen: Image Generation with Multi-modal Instruction. - Hu, Hexiang; Chan, Kelvin C. K.; Su, Yu-Chuan; Chen, Wenhu; Li, Yandong; Sohn, Kihyuk; Zhao, Yang; Ben, Xue; Gong, Boqing; Cohen, William W.; Chang, Ming-Wei; Jia, Xuhui (2024)

MagicLens: Self-Supervised Image Retrieval with Open-Ended Instructions. - Zhang, Kai; Luan, Yi; Hu, Hexiang; Lee, Kenton; Qiao, Siyuan; Chen, Wenhu; Su, Yu; Chang, Ming-Wei (2024)

Instruct-Imagen: Image Generation with Multi-modal Instruction. - Hu, Hexiang; Chan, Kelvin C. K.; Su, Yu-Chuan; Chen, Wenhu; Li, Yandong; Sohn, Kihyuk; Zhao, Yang; Ben, Xue; Gong, Boqing; Cohen, William W.; Chang, Ming-Wei; Jia, Xuhui (CoRR, 2024)

MagicLens: Self-Supervised Image Retrieval with Open-Ended Instructions. - Zhang, Kai; Luan, Yi; Hu, Hexiang; Lee, Kenton; Qiao, Siyuan; Chen, Wenhu; Su, Yu; Chang, Ming-Wei (CoRR, 2024)

Gecko: Versatile Text Embeddings Distilled from Large Language Models. - Lee, Jinhyuk; Dai, Zhuyun; Ren, Xiaoqi; Chen, Blair; Cer, Daniel; Cole, Jeremy R.; Hui, Kai; Boratko, Michael; Kapadia, Rajvi; Ding, Wen; Luan, Yi; Duddu, Sai Meher Karthik; et al. (CoRR, 2024)

Can Long-Context Language Models Subsume Retrieval, RAG, SQL, and More? - Lee, Jinhyuk; Chen, Anthony; Dai, Zhuyun; Dua, Dheeru; Sachan, Devendra Singh; Boratko, Michael; Luan, Yi; Arnold, Sébastien M. R.; Perot, Vincent; Dalmia, Siddharth; Hu, Hexiang; Lin, Xudong; et al. (CoRR, 2024)

Imagen 3. - Baldridge, Jason; Bauer, Jakob; Bhutani, Mukul; Brichtova, Nicole; Bunner, Andrew; Chan, Kelvin; Chen, Yichang; Dieleman, Sander; Du, Yuqing; Eaton-Rosen, Zach; Fei, Hongliang; Freitas, Nando de; et al. (CoRR, 2024)

KITTEN: A Knowledge-Intensive Evaluation of Image Generation on Visual Entities. - Huang, Hsin-Ping; Wang, Xinyi; Bitton, Yonatan; Taitelbaum, Hagai; Tomar, Gaurav Singh; Chang, Ming-Wei; Jia, Xuhui; Chan, Kelvin C. K.; Hu, Hexiang; Su, Yu-Chuan; Yang, Ming-Hsuan (CoRR, 2024)

QUEST: A Retrieval Dataset of Entity-Seeking Queries with Implicit Set Operations. - Malaviya, Chaitanya; Shaw, Peter; Chang, Ming-Wei; Lee, Kenton; Toutanova, Kristina (2023)

Can Pre-trained Vision and Language Models Answer Visual Information-Seeking Questions? - Chen, Yang; Hu, Hexiang; Luan, Yi; Sun, Haitian; Changpinyo, Soravit; Ritter, Alan; Chang, Ming-Wei (2023)

Open-domain Visual Entity Recognition: Towards Recognizing Millions of Wikipedia Entities. - Hu, Hexiang; Luan, Yi; Chen, Yang; Khandelwal, Urvashi; Joshi, Mandar; Lee, Kenton; Toutanova, Kristina; Chang, Ming-Wei (2023)

Promptagator: Few-shot Dense Retrieval From 8 Examples. - Dai, Zhuyun; Zhao, Vincent Y.; Ma, Ji; Luan, Yi; Ni, Jianmo; Lu, Jing; Bakalov, Anton; Guu, Kelvin; Hall, Keith B.; Chang, Ming-Wei (2023)

Pix2Struct: Screenshot Parsing as Pretraining for Visual Language Understanding. - Lee, Kenton; Joshi, Mandar; Turc, Iulia Raluca; Hu, Hexiang; Liu, Fangyu; Eisenschlos, Julian Martin; Khandelwal, Urvashi; Shaw, Peter; Chang, Ming-Wei; Toutanova, Kristina (2023)

Subject-driven Text-to-Image Generation via Apprenticeship Learning. - Chen, Wenhu; Hu, Hexiang; Li, Yandong; Ruiz, Nataniel; Jia, Xuhui; Chang, Ming-Wei; Cohen, William W. (2023)

Rethinking the Role of Token Retrieval in Multi-Vector Retrieval. - Lee, Jinhyuk; Dai, Zhuyun; Duddu, Sai Meher Karthik; Lei, Tao; Naim, Iftekhar; Chang, Ming-Wei; Zhao, Vincent (2023)

Conditional Adapters: Parameter-efficient Transfer Learning with Fast Inference. - Lei, Tao; Bai, Junwen; Brahma, Siddhartha; Ainslie, Joshua; Lee, Kenton; Zhou, Yanqi; Du, Nan; Zhao, Vincent Y.; Wu, Yuexin; Li, Bo; Zhang, Yu; Chang, Ming-Wei (2023)

Open-domain Visual Entity Recognition: Towards Recognizing Millions of Wikipedia Entities. - Hu, Hexiang; Luan, Yi; Chen, Yang; Khandelwal, Urvashi; Joshi, Mandar; Lee, Kenton; Toutanova, Kristina; Chang, Ming-Wei (CoRR, 2023)

Can Pre-trained Vision and Language Models Answer Visual Information-Seeking Questions? - Chen, Yang; Hu, Hexiang; Luan, Yi; Sun, Haitian; Changpinyo, Soravit; Ritter, Alan; Chang, Ming-Wei (CoRR, 2023)

Subject-driven Text-to-Image Generation via Apprenticeship Learning. - Chen, Wenhu; Hu, Hexiang; Li, Yandong; Ruiz, Nataniel; Jia, Xuhui; Chang, Ming-Wei; Cohen, William W. (CoRR, 2023)

Rethinking the Role of Token Retrieval in Multi-Vector Retrieval. - Lee, Jinhyuk; Dai, Zhuyun; Duddu, Sai Meher Karthik; Lei, Tao; Naim, Iftekhar; Chang, Ming-Wei; Zhao, Vincent Y. (CoRR, 2023)

Conditional Adapters: Parameter-efficient Transfer Learning with Fast Inference. - Lei, Tao; Bai, Junwen; Brahma, Siddhartha; Ainslie, Joshua; Lee, Kenton; Zhou, Yanqi; Du, Nan; Zhao, Vincent Y.; Wu, Yuexin; Li, Bo; Zhang, Yu; Chang, Ming-Wei (CoRR, 2023)

QUEST: A Retrieval Dataset of Entity-Seeking Queries with Implicit Set Operations. - Malaviya, Chaitanya; Shaw, Peter; Chang, Ming-Wei; Lee, Kenton; Toutanova, Kristina (CoRR, 2023)

ASQA: Factoid Questions Meet Long-Form Answers. - Stelmakh, Ivan; Luan, Yi; Dhingra, Bhuwan; Chang, Ming-Wei (2022)

Meta-Learning Fast Weight Language Models. - Clark, Kevin; Guu, Kelvin; Chang, Ming-Wei; Pasupat, Panupong; Hinton, Geoffrey E.; Norouzi, Mohammad (2022)

Large Dual Encoders Are Generalizable Retrievers. - Ni, Jianmo; Qu, Chen; Lu, Jing; Dai, Zhuyun; Ábrego, Gustavo Hernández; Ma, Ji; Zhao, Vincent Y.; Luan, Yi; Hall, Keith B.; Chang, Ming-Wei; Yang, Yinfei (2022)

FRUIT: Faithfully Reflecting Updated Information in Text. - Logan, Robert L., IV; Passos, Alexandre; Singh, Sameer; Chang, Ming-Wei (2022)

ASQA: Factoid Questions Meet Long-Form Answers. - Stelmakh, Ivan; Luan, Yi; Dhingra, Bhuwan; Chang, Ming-Wei (CoRR, 2022)

Promptagator: Few-shot Dense Retrieval From 8 Examples. - Dai, Zhuyun; Zhao, Vincent Y.; Ma, Ji; Luan, Yi; Ni, Jianmo; Lu, Jing; Bakalov, Anton; Guu, Kelvin; Hall, Keith B.; Chang, Ming-Wei (CoRR, 2022)

Pix2Struct: Screenshot Parsing as Pretraining for Visual Language Understanding. - Lee, Kenton; Joshi, Mandar; Turc, Iulia; Hu, Hexiang; Liu, Fangyu; Eisenschlos, Julian; Khandelwal, Urvashi; Shaw, Peter; Chang, Ming-Wei; Toutanova, Kristina (CoRR, 2022)

Meta-Learning Fast Weight Language Models. - Clark, Kevin; Guu, Kelvin; Chang, Ming-Wei; Pasupat, Panupong; Hinton, Geoffrey E.; Norouzi, Mohammad (CoRR, 2022)

Compositional Generalization and Natural Language Variation: Can a Semantic Parsing Approach Handle Both? - Shaw, Peter; Chang, Ming-Wei; Pasupat, Panupong; Toutanova, Kristina (2021)

Joint Passage Ranking for Diverse Multi-Answer Retrieval. - Min, Sewon; Lee, Kenton; Chang, Ming-Wei; Toutanova, Kristina; Hajishirzi, Hannaneh (2021)

Open Question Answering over Tables and Text. - Chen, Wenhu; Chang, Ming-Wei; Schlinger, Eva; Wang, William Yang; Cohen, William W. (2021)

Unlocking Compositional Generalization in Pre-trained Models Using Intermediate Representations. - Herzig, Jonathan; Shaw, Peter; Chang, Ming-Wei; Guu, Kelvin; Pasupat, Panupong; Zhang, Yuan (CoRR, 2021)

Joint Passage Ranking for Diverse Multi-Answer Retrieval. - Min, Sewon; Lee, Kenton; Chang, Ming-Wei; Toutanova, Kristina; Hajishirzi, Hannaneh (CoRR, 2021)

Revisiting the Primacy of English in Zero-shot Cross-lingual Transfer. - Turc, Iulia; Lee, Kenton; Eisenstein, Jacob; Chang, Ming-Wei; Toutanova, Kristina (CoRR, 2021)

Large Dual Encoders Are Generalizable Retrievers. - Ni, Jianmo; Qu, Chen; Lu, Jing; Dai, Zhuyun; Ábrego, Gustavo Hernández; Ma, Ji; Zhao, Vincent Y.; Luan, Yi; Hall, Keith B.; Chang, Ming-Wei; Yang, Yinfei (CoRR, 2021)

FRUIT: Faithfully Reflecting Updated Information in Text. - Logan, Robert L., IV; Passos, Alexandre; Singh, Sameer; Chang, Ming-Wei (CoRR, 2021)

Probabilistic Assumptions Matter: Improved Models for Distantly-Supervised Document-Level Question Answering. - Cheng, Hao; Chang, Ming-Wei; Lee, Kenton; Toutanova, Kristina (2020)

Exploring Unexplored Generalization Challenges for Cross-Database Semantic Parsing. - Suhr, Alane; Chang, Ming-Wei; Shaw, Peter; Lee, Kenton (2020)

CapWAP: Image Captioning with a Purpose. - Fisch, Adam; Lee, Kenton; Chang, Ming-Wei; Clark, Jonathan H.; Barzilay, Regina (2020)

Retrieval Augmented Language Model Pre-Training. - Guu, Kelvin; Lee, Kenton; Tung, Zora; Pasupat, Panupong; Chang, Ming-Wei (2020)

REALM: Retrieval-Augmented Language Model Pre-Training. - Guu, Kelvin; Lee, Kenton; Tung, Zora; Pasupat, Panupong; Chang, Ming-Wei (CoRR, 2020)

Probabilistic Assumptions Matter: Improved Models for Distantly-Supervised Document-Level Question Answering. - Cheng, Hao; Chang, Ming-Wei; Lee, Kenton; Toutanova, Kristina (CoRR, 2020)

Open Question Answering over Tables and Text. - Chen, Wenhu; Chang, Ming-Wei; Schlinger, Eva; Wang, William Yang; Cohen, William W. (CoRR, 2020)

Compositional Generalization and Natural Language Variation: Can a Semantic Parsing Approach Handle Both? - Shaw, Peter; Chang, Ming-Wei; Pasupat, Panupong; Toutanova, Kristina (CoRR, 2020)

CapWAP: Captioning with a Purpose. - Fisch, Adam; Lee, Kenton; Chang, Ming-Wei; Clark, Jonathan H.; Barzilay, Regina (CoRR, 2020)

Natural Questions: a Benchmark for Question Answering Research. - Kwiatkowski, Tom; Palomaki, Jennimaria; Redfield, Olivia; Collins, Michael; Parikh, Ankur P.; Alberti, Chris; Epstein, Danielle; Polosukhin, Illia; Devlin, Jacob; Lee, Kenton; Toutanova, Kristina; Jones, Llion; et al. (Trans. Assoc. Comput. Linguistics, 2019)

Zero-Shot Entity Linking by Reading Entity Descriptions. - Logeswaran, Lajanugen; Chang, Ming-Wei; Lee, Kenton; Toutanova, Kristina; Devlin, Jacob; Lee, Honglak (2019)

Handling Divergent Reference Texts when Evaluating Table-to-Text Generation. - Dhingra, Bhuwan; Faruqui, Manaal; Parikh, Ankur P.; Chang, Ming-Wei; Das, Dipanjan; Cohen, William W. (2019)

Latent Retrieval for Weakly Supervised Open Domain Question Answering. - Lee, Kenton; Chang, Ming-Wei; Toutanova, Kristina (2019)

BoolQ: Exploring the Surprising Difficulty of Natural Yes/No Questions. - Clark, Christopher; Lee, Kenton; Chang, Ming-Wei; Kwiatkowski, Tom; Collins, Michael; Toutanova, Kristina (2019)

BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding. - Devlin, Jacob; Chang, Ming-Wei; Lee, Kenton; Toutanova, Kristina (2019)

Language Model Pre-training for Hierarchical Document Representations. - Chang, Ming-Wei; Toutanova, Kristina; Lee, Kenton; Devlin, Jacob (CoRR, 2019)

BoolQ: Exploring the Surprising Difficulty of Natural Yes/No Questions. - Clark, Christopher; Lee, Kenton; Chang, Ming-Wei; Kwiatkowski, Tom; Collins, Michael; Toutanova, Kristina (CoRR, 2019)

Latent Retrieval for Weakly Supervised Open Domain Question Answering. - Lee, Kenton; Chang, Ming-Wei; Toutanova, Kristina (CoRR, 2019)

Handling Divergent Reference Texts when Evaluating Table-to-Text Generation. - Dhingra, Bhuwan; Faruqui, Manaal; Parikh, Ankur P.; Chang, Ming-Wei; Das, Dipanjan; Cohen, William W. (CoRR, 2019)

Zero-Shot Entity Linking by Reading Entity Descriptions. - Logeswaran, Lajanugen; Chang, Ming-Wei; Lee, Kenton; Toutanova, Kristina; Devlin, Jacob; Lee, Honglak (CoRR, 2019)

Well-Read Students Learn Better: The Impact of Student Initialization on Knowledge Distillation. - Turc, Iulia; Chang, Ming-Wei; Lee, Kenton; Toutanova, Kristina (CoRR, 2019)

A Knowledge-Grounded Neural Conversation Model. - Ghazvininejad, Marjan; Brockett, Chris; Chang, Ming-Wei; Dolan, Bill; Gao, Jianfeng; Yih, Wen-tau; Galley, Michel (2018)

Policy Shaping and Generalized Update Equations for Semantic Parsing from Denotations. - Misra, Dipendra; Chang, Ming-Wei; He, Xiaodong; Yih, Wen-tau (2018)

Policy Shaping and Generalized Update Equations for Semantic Parsing from Denotations. - Misra, Dipendra; Chang, Ming-Wei; He, Xiaodong; Yih, Wen-tau (CoRR, 2018)

BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding. - Devlin, Jacob; Chang, Ming-Wei; Lee, Kenton; Toutanova, Kristina (CoRR, 2018)

Improving Span-based Question Answering Systems with Coarsely Labeled Data. - Cheng, Hao; Chang, Ming-Wei; Lee, Kenton; Parikh, Ankur P.; Collins, Michael; Toutanova, Kristina (CoRR, 2018)

Search-based Neural Structured Learning for Sequential Question Answering. - Iyyer, Mohit; Yih, Wen-tau; Chang, Ming-Wei (2017)

Annotating Derivations: A New Evaluation Strategy and Dataset for Algebra Word Problems. - Upadhyay, Shyam; Chang, Ming-Wei (2017)

Maximum Margin Reward Networks for Learning from Explicit and Implicit Supervision. - Peng, Haoruo; Chang, Ming-Wei; Yih, Wen-tau (2017)

Modeling Large-Scale Structured Relationships with Shared Memory for Knowledge Base Completion. - Shen, Yelong; Huang, Po-Sen; Chang, Ming-Wei; Gao, Jianfeng (2017)

Proceedings of the 2nd Workshop on Structured Prediction for Natural Language Processing, SPNLP@EMNLP, Copenhagen, Denmark, September 2017 (Association for Computational Linguistics, 2017)

A Knowledge-Grounded Neural Conversation Model. - Ghazvininejad, Marjan; Brockett, Chris; Chang, Ming-Wei; Dolan, Bill; Gao, Jianfeng; Yih, Wen-tau; Galley, Michel (CoRR, 2017)

The Value of Semantic Parse Labeling for Knowledge Base Question Answering. - Yih, Wen-tau; Richardson, Matthew; Meek, Christopher; Chang, Ming-Wei; Suh, Jina (2016)

From Entity Linking to Question Answering - Recent Progress on Semantic Grounding Tasks. - Chang, Ming-Wei (2016)

Learning from Explicit and Implicit Supervision Jointly For Algebra Word Problems. - Upadhyay, Shyam; Chang, Ming-Wei; Chang, Kai-Wei; Yih, Wen-tau (2016)

Toward Socially-Infused Information Extraction: Embedding Authors, Mentions, and Entities. - Yang, Yi; Chang, Ming-Wei; Eisenstein, Jacob (2016)

Proceedings of the Workshop on Structured Prediction for NLP@EMNLP 2016, Austin, TX, USA, November 5, 2016 (Association for Computational Linguistics, 2016)

Annotating Derivations: A New Evaluation Strategy and Dataset for Algebra Word Problems. - Upadhyay, Shyam; Chang, Ming-Wei (CoRR, 2016)

S-MART: Novel Tree-based Structured Learning Algorithms Applied to Tweet Entity Linking. - Yang, Yi; Chang, Ming-Wei (CoRR, 2016)

Toward Socially-Infused Information Extraction: Embedding Authors, Mentions, and Entities. - Yang, Yi; Chang, Ming-Wei; Eisenstein, Jacob (CoRR, 2016)

Answering Complicated Question Intents Expressed in Decomposed Question Sequences. - Iyyer, Mohit; Yih, Wen-tau; Chang, Ming-Wei (CoRR, 2016)

Implicit ReasoNet: Modeling Large-Scale Structured Relationships with Shared Memory. - Shen, Yelong; Huang, Po-Sen; Chang, Ming-Wei; Gao, Jianfeng (CoRR, 2016)

S-MART: Novel Tree-based Structured Learning Algorithms Applied to Tweet Entity Linking. - Yang, Yi; Chang, Ming-Wei (2015)

Semantic Parsing via Staged Query Graph Generation: Question Answering with Knowledge Base. - Yih, Wen-tau; Chang, Ming-Wei; He, Xiaodong; Gao, Jianfeng (2015)

Inferring Missing Entity Type Instances for Knowledge Base Completion: New Dataset and Methods. - Neelakantan, Arvind; Chang, Ming-Wei (2015)

Placer++: Semantic place labels beyond the visit. - Krumm, John; Rouhana, Dany; Chang, Ming-Wei (2015)

Open Domain Question Answering via Semantic Enrichment. - Sun, Huan; Ma, Hao; Yih, Wen-tau; Tsai, Chen-Tse; Liu, Jingjing; Chang, Ming-Wei (2015)

Inferring Missing Entity Type Instances for Knowledge Base Completion: New Dataset and Methods. - Neelakantan, Arvind; Chang, Ming-Wei (CoRR, 2015)

IllinoisSL: A JAVA Library for Structured Prediction. - Chang, Kai-Wei; Upadhyay, Shyam; Chang, Ming-Wei; Srikumar, Vivek; Roth, Dan (CoRR, 2015)

ERD'14: Entity Recognition and Disambiguation Challenge. - Carmel, David; Chang, Ming-Wei; Gabrilovich, Evgeniy; Hsu, Bo-June Paul; Wang, Kuansan (SIGIR Forum, 2014)

Entity Linking on Microblogs with Spatial and Temporal Signals. - Fang, Yuan; Chang, Ming-Wei (Trans. Assoc. Comput. Linguistics, 2014)

Wikification and Beyond: The Challenges of Entity and Concept Grounding. - Roth, Dan; Ji, Heng; Chang, Ming-Wei; Cassidy, Taylor (2014)

Virtual keyboard for head mounted display-based wearable devices. - Chang, Ming-Wei; Chiueh, Tzi-cker; Chang, Chia-Ming (2014)

E2E: An End-to-End Entity Linking System for Short and Noisy Text. - Chang, Ming-Wei; Hsu, Bo-June Paul; Ma, Hao; Loynd, Ricky; Wang, Kuansan (2014)

Segmentation based stereo matching using color grouping. - Wang, Hsin-Wei; Chang, Ming-Wei; Lin, Hong Shiang; Ouhyoung, Ming (2014)

Modeling action-level satisfaction for search task satisfaction prediction. - Wang, Hongning; Song, Yang; Chang, Ming-Wei; He, Xiaodong; Awadallah, Ahmed Hassan; White, Ryen W. (2014)

ERD'14: entity recognition and disambiguation challenge. - Carmel, David; Chang, Ming-Wei; Gabrilovich, Evgeniy; Hsu, Bo-June Paul; Wang, Kuansan (2014)

ERD'14, Proceedings of the First ACM International Workshop on Entity Recognition & Disambiguation, July 11, 2014, Gold Coast, Queensland, Australia (ACM, 2014)

Dual Coordinate Descent Algorithms for Efficient Large Margin Structured Prediction. - Chang, Ming-Wei; Yih, Wen-tau (Trans. Assoc. Comput. Linguistics, 2013)

Question Answering Using Enhanced Lexical Semantic Models. - Yih, Wen-tau; Chang, Ming-Wei; Meek, Christopher; Pastusiak, Andrzej (2013)

To Link or Not to Link? A Study on End-to-End Tweet Entity Linking. - Guo, Stephen D.; Chang, Ming-Wei; Kiciman, Emre (2013)

Personalized ranking model adaptation for web search. - Wang, Hongning; He, Xiaodong; Chang, Ming-Wei; Song, Yang; White, Ryen W.; Chu, Wei (2013)

Learning to extract cross-session search tasks. - Wang, Hongning; Song, Yang; Chang, Ming-Wei; He, Xiaodong; White, Ryen W.; Chu, Wei (2013)

Structured learning with constrained conditional models. - Chang, Ming-Wei; Ratinov, Lev-Arie; Roth, Dan (Mach. Learn., 2012)

Learning shared body plans. - Endres, Ian; Srikumar, Vivek; Chang, Ming-Wei; Hoiem, Derek (2012)

Unified Expectation Maximization. - Samdani, Rajhans; Chang, Ming-Wei; Roth, Dan (2012)

Structured prediction with indirect supervision - Chang, Ming-Wei (2011)

Structured prediction with indirect supervision. - Chang, Ming-Wei; Clarke, James; Goldwasser, Dan; Ratinov, Lev-Arie; Srikumar, Vivek; Roth, Dan (2011)

Novel Approach to Fuzzy-Wavelet ECG Signal Analysis for a Mobile Device. - Tseng, Ching-En; Peng, Ching-Yu; Chang, Ming-Wei; Yen, Jia-Yush; Lee, Chih-Kung; Huang, Tse-Shih (J. Medical Syst., 2010)

Modified Frequency-Partitioned Spectrum Estimation for a Wireless Health Advanced Monitoring Bio-Diagnosis System. - Tseng, Ching-En; Yen, Jia-Yush; Chang, Ming-Wei; Chang, Wei-Chien; Lee, Chih-Kung (IEEE Trans. Syst. Man Cybern. Part A, 2010)

Driving Semantic Parsing from the World's Response. - Clarke, James; Goldwasser, Dan; Chang, Ming-Wei; Roth, Dan (2010)

The Necessity of Combining Adaptation Methods. - Chang, Ming-Wei; Connor, Michael; Roth, Dan (2010)

Structured Output Learning with Indirect Supervision. - Chang, Ming-Wei; Srikumar, Vivek; Goldwasser, Dan; Roth, Dan (2010)

Discriminative Learning over Constrained Latent Representations. - Chang, Ming-Wei; Goldwasser, Dan; Roth, Dan; Srikumar, Vivek (2010)

Implementation and Optimization of DSP Suspend Resume on Dual-Core SOC. - Chang, Ming-Wei; Tseng, Shau-Yin; Lin, Homn; Su, Ching-Lung (2009)

Unsupervised Constraint Driven Learning For Transliteration Discovery. - Chang, Ming-Wei; Goldwasser, Dan; Roth, Dan; Tu, Yuancheng (2009)

Relation Alignment for Textual Entailment Recognition. - Sammons, Mark; Vydiswaran, V. G. Vinod; Vieira, Tim; Johri, Nikhil; Chang, Ming-Wei; Goldwasser, Dan; Srikumar, Vivek; Kundu, Gourab; Tu, Yuancheng; Small, Kevin; Rule, Joshua S.; Do, Quang; et al. (2009)

Importance of Semantic Representation: Dataless Classification. - Chang, Ming-Wei; Ratinov, Lev-Arie; Roth, Dan; Srikumar, Vivek (2008)

Learning and Inference with Constraints. - Chang, Ming-Wei; Ratinov, Lev-Arie; Rizzolo, Nicholas; Roth, Dan (2008)

Personalized Spam Filtering for Gray Mail. - Chang, Ming-Wei; Yih, Scott; McCann, Robert (2008)

Partitioned logistic regression for spam filtering. - Chang, Ming-Wei; Yih, Wen-tau; Meek, Christopher (2008)

Energy-Efficient Real-Time Co-scheduling of Multimedia DSP Jobs. - Chen, Chien-Wei; Yang, Chuan-Yue; Kuo, Tei-Wei; Chang, Ming-Wei (2008)

Modeling and fabrication of a microelectromechanical microwave switch. - Dai, Ching-Liang; Hsu, Heng-Ming; Tsai, Ming-Chang; Hsieh, Ming-Ming; Chang, Ming-Wei (Microelectron. J., 2007)

Simulation and fabrication of HF microelectromechanical bandpass filter. - Dai, Ching-Liang; Chiang, Ming-Chao; Chang, Ming-Wei (Microelectron. J., 2007)

Fabrication and characterization of a microelectromechanical tunable capacitor. - Dai, Ching-Liang; Lin, Shih-Chieh; Chang, Ming-Wei (Microelectron. J., 2007)

Guiding Semi-Supervision with Constraint-Driven Learning. - Chang, Ming-Wei; Ratinov, Lev-Arie; Roth, Dan (2007)

A Pipeline Framework for Dependency Parsing. - Chang, Ming-Wei; Do, Quang; Roth, Dan (2006)

A Pipeline Model for Bottom-Up Dependency Parsing. - Chang, Ming-Wei; Do, Quang; Roth, Dan (2006)

Leave-One-Out Bounds for Support Vector Regression Model Selection. - Chang, Ming-Wei; Lin, Chih-Jen (Neural Comput., 2005)

Analysis of switching dynamics with competing support vector machines. - Chang, Ming-Wei; Lin, Chih-Jen; Weng, Ruby Chiu-Hsing (IEEE Trans. Neural Networks, 2004)

Analysis of Nonstationary Time Series Using Support Vector Machines. - Chang, Ming-Wei; Lin, Chih-Jen; Weng, Ruby C. (2002)