Ming-Wei Chang

130 papers A* 35B 3Journal 55Unranked 33

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	KITTEN: A Knowledge-Integrated Evaluation of Image Generation on Visual Entities. Trans. Mach. Learn. Res. Hsin-Ping Huang, Xinyi Wang, Yonatan Bitton, Hagai Taitelbaum, Gaurav Singh Tomar, Ming-Wei Chang, Xuhui Jia, Kelvin C. K. Chan, Hexiang Hu, Yu-Chuan Su, Ming-Hsuan Yang
2025	—	`conf`	LOFT: Scalable and More Realistic Long-Context Evaluation. NAACL (Findings) Jinhyuk Lee, Anthony Chen, Zhuyun Dai, Dheeru Dua, Devendra Singh Sachan, Michael Boratko, Yi Luan, Sébastien M. R. Arnold, Vincent Perot, Siddharth Dalmia, Hexiang Hu, Xudong Lin, Panupong Pasupat, Aida Amini, Jeremy R. Cole, Sebastian Riedel, Iftekhar Naim, Ming-Wei Chang, Kelvin Guu
2024	J	`jnl`	Can Long-Context Language Models Subsume Retrieval, RAG, SQL, and More? CoRR Jinhyuk Lee, Anthony Chen, Zhuyun Dai, Dheeru Dua, Devendra Singh Sachan, Michael Boratko, Yi Luan, Sébastien M. R. Arnold, Vincent Perot, Siddharth Dalmia, Hexiang Hu, Xudong Lin, Panupong Pasupat, Aida Amini, Jeremy R. Cole, Sebastian Riedel, Iftekhar Naim, Ming-Wei Chang, Kelvin Guu
2024	J	`jnl`	Gecko: Versatile Text Embeddings Distilled from Large Language Models. CoRR Jinhyuk Lee, Zhuyun Dai, Xiaoqi Ren, Blair Chen, Daniel Cer, Jeremy R. Cole, Kai Hui, Michael Boratko, Rajvi Kapadia, Wen Ding, Yi Luan, Sai Meher Karthik Duddu, Gustavo Hernández Ábrego, Weiqiang Shi, Nithi Gupta, Aditya Kusupati, Prateek Jain, Siddhartha Reddy Jonnalagadda, Ming-Wei Chang, Iftekhar Naim
2024	A*	`conf`	Instruct-Imagen: Image Generation with Multi-modal Instruction. CVPR Hexiang Hu, Kelvin C. K. Chan, Yu-Chuan Su, Wenhu Chen, Yandong Li, Kihyuk Sohn, Yang Zhao, Xue Ben, Boqing Gong, William W. Cohen, Ming-Wei Chang, Xuhui Jia
2024	J	`jnl`	Instruct-Imagen: Image Generation with Multi-modal Instruction. CoRR Hexiang Hu, Kelvin C. K. Chan, Yu-Chuan Su, Wenhu Chen, Yandong Li, Kihyuk Sohn, Yang Zhao, Xue Ben, Boqing Gong, William W. Cohen, Ming-Wei Chang, Xuhui Jia
2024	J	`jnl`	KITTEN: A Knowledge-Intensive Evaluation of Image Generation on Visual Entities. CoRR Hsin-Ping Huang, Xinyi Wang, Yonatan Bitton, Hagai Taitelbaum, Gaurav Singh Tomar, Ming-Wei Chang, Xuhui Jia, Kelvin C. K. Chan, Hexiang Hu, Yu-Chuan Su, Ming-Hsuan Yang
2024	A*	`conf`	MagicLens: Self-Supervised Image Retrieval with Open-Ended Instructions. ICML Kai Zhang, Yi Luan, Hexiang Hu, Kenton Lee, Siyuan Qiao, Wenhu Chen, Yu Su, Ming-Wei Chang
2024	J	`jnl`	MagicLens: Self-Supervised Image Retrieval with Open-Ended Instructions. CoRR Kai Zhang, Yi Luan, Hexiang Hu, Kenton Lee, Siyuan Qiao, Wenhu Chen, Yu Su, Ming-Wei Chang
2023	A*	`conf`	Can Pre-trained Vision and Language Models Answer Visual Information-Seeking Questions? EMNLP Yang Chen, Hexiang Hu, Yi Luan, Haitian Sun, Soravit Changpinyo, Alan Ritter, Ming-Wei Chang
2023	J	`jnl`	Can Pre-trained Vision and Language Models Answer Visual Information-Seeking Questions? CoRR Yang Chen, Hexiang Hu, Yi Luan, Haitian Sun, Soravit Changpinyo, Alan Ritter, Ming-Wei Chang
2023	A*	`conf`	Conditional Adapters: Parameter-efficient Transfer Learning with Fast Inference. NeurIPS Tao Lei, Junwen Bai, Siddhartha Brahma, Joshua Ainslie, Kenton Lee, Yanqi Zhou, Nan Du, Vincent Y. Zhao, Yuexin Wu, Bo Li, Yu Zhang, Ming-Wei Chang
2023	J	`jnl`	Conditional Adapters: Parameter-efficient Transfer Learning with Fast Inference. CoRR Tao Lei, Junwen Bai, Siddhartha Brahma, Joshua Ainslie, Kenton Lee, Yanqi Zhou, Nan Du, Vincent Y. Zhao, Yuexin Wu, Bo Li, Yu Zhang, Ming-Wei Chang
2023	A*	`conf`	Open-domain Visual Entity Recognition: Towards Recognizing Millions of Wikipedia Entities. ICCV Hexiang Hu, Yi Luan, Yang Chen, Urvashi Khandelwal, Mandar Joshi, Kenton Lee, Kristina Toutanova, Ming-Wei Chang
2023	J	`jnl`	Open-domain Visual Entity Recognition: Towards Recognizing Millions of Wikipedia Entities. CoRR Hexiang Hu, Yi Luan, Yang Chen, Urvashi Khandelwal, Mandar Joshi, Kenton Lee, Kristina Toutanova, Ming-Wei Chang
2023	A*	`conf`	Pix2Struct: Screenshot Parsing as Pretraining for Visual Language Understanding. ICML Kenton Lee, Mandar Joshi, Iulia Raluca Turc, Hexiang Hu, Fangyu Liu, Julian Martin Eisenschlos, Urvashi Khandelwal, Peter Shaw, Ming-Wei Chang, Kristina Toutanova
2023	A*	`conf`	Promptagator: Few-shot Dense Retrieval From 8 Examples. ICLR Zhuyun Dai, Vincent Y. Zhao, Ji Ma, Yi Luan, Jianmo Ni, Jing Lu, Anton Bakalov, Kelvin Guu, Keith B. Hall, Ming-Wei Chang
2023	—	`conf`	QUEST: A Retrieval Dataset of Entity-Seeking Queries with Implicit Set Operations. ACL (1) Chaitanya Malaviya, Peter Shaw, Ming-Wei Chang, Kenton Lee, Kristina Toutanova
2023	J	`jnl`	QUEST: A Retrieval Dataset of Entity-Seeking Queries with Implicit Set Operations. CoRR Chaitanya Malaviya, Peter Shaw, Ming-Wei Chang, Kenton Lee, Kristina Toutanova
2023	A*	`conf`	Rethinking the Role of Token Retrieval in Multi-Vector Retrieval. NeurIPS Jinhyuk Lee, Zhuyun Dai, Sai Meher Karthik Duddu, Tao Lei, Iftekhar Naim, Ming-Wei Chang, Vincent Y. Zhao
2023	J	`jnl`	Rethinking the Role of Token Retrieval in Multi-Vector Retrieval. CoRR Jinhyuk Lee, Zhuyun Dai, Sai Meher Karthik Duddu, Tao Lei, Iftekhar Naim, Ming-Wei Chang, Vincent Y. Zhao
2023	A*	`conf`	Subject-driven Text-to-Image Generation via Apprenticeship Learning. NeurIPS Wenhu Chen, Hexiang Hu, Yandong Li, Nataniel Ruiz, Xuhui Jia, Ming-Wei Chang, William W. Cohen
2023	J	`jnl`	Subject-driven Text-to-Image Generation via Apprenticeship Learning. CoRR Wenhu Chen, Hexiang Hu, Yandong Li, Nataniel Ruiz, Xuhui Jia, Ming-Wei Chang, William W. Cohen
2022	A*	`conf`	ASQA: Factoid Questions Meet Long-Form Answers. EMNLP Ivan Stelmakh, Yi Luan, Bhuwan Dhingra, Ming-Wei Chang
2022	J	`jnl`	ASQA: Factoid Questions Meet Long-Form Answers. CoRR Ivan Stelmakh, Yi Luan, Bhuwan Dhingra, Ming-Wei Chang
2022	—	`conf`	FRUIT: Faithfully Reflecting Updated Information in Text. NAACL-HLT Robert L. Logan IV, Alexandre Passos, Sameer Singh, Ming-Wei Chang
2022	A*	`conf`	Large Dual Encoders Are Generalizable Retrievers. EMNLP Jianmo Ni, Chen Qu, Jing Lu, Zhuyun Dai, Gustavo Hernández Ábrego, Ji Ma, Vincent Y. Zhao, Yi Luan, Keith B. Hall, Ming-Wei Chang, Yinfei Yang
2022	A*	`conf`	Meta-Learning Fast Weight Language Models. EMNLP Kevin Clark, Kelvin Guu, Ming-Wei Chang, Panupong Pasupat, Geoffrey E. Hinton, Mohammad Norouzi
2022	J	`jnl`	Meta-Learning Fast Weight Language Models. CoRR Kevin Clark, Kelvin Guu, Ming-Wei Chang, Panupong Pasupat, Geoffrey E. Hinton, Mohammad Norouzi
2022	J	`jnl`	Pix2Struct: Screenshot Parsing as Pretraining for Visual Language Understanding. CoRR Kenton Lee, Mandar Joshi, Iulia Turc, Hexiang Hu, Fangyu Liu, Julian Eisenschlos, Urvashi Khandelwal, Peter Shaw, Ming-Wei Chang, Kristina Toutanova
2022	J	`jnl`	Promptagator: Few-shot Dense Retrieval From 8 Examples. CoRR Zhuyun Dai, Vincent Y. Zhao, Ji Ma, Yi Luan, Jianmo Ni, Jing Lu, Anton Bakalov, Kelvin Guu, Keith B. Hall, Ming-Wei Chang
2021	—	`conf`	Compositional Generalization and Natural Language Variation: Can a Semantic Parsing Approach Handle Both? ACL/IJCNLP (1) Peter Shaw, Ming-Wei Chang, Panupong Pasupat, Kristina Toutanova
2021	J	`jnl`	FRUIT: Faithfully Reflecting Updated Information in Text. CoRR Robert L. Logan IV, Alexandre Passos, Sameer Singh, Ming-Wei Chang
2021	—	`conf`	Joint Passage Ranking for Diverse Multi-Answer Retrieval. EMNLP (1) Sewon Min, Kenton Lee, Ming-Wei Chang, Kristina Toutanova, Hannaneh Hajishirzi
2021	J	`jnl`	Joint Passage Ranking for Diverse Multi-Answer Retrieval. CoRR Sewon Min, Kenton Lee, Ming-Wei Chang, Kristina Toutanova, Hannaneh Hajishirzi
2021	J	`jnl`	Large Dual Encoders Are Generalizable Retrievers. CoRR Jianmo Ni, Chen Qu, Jing Lu, Zhuyun Dai, Gustavo Hernández Ábrego, Ji Ma, Vincent Y. Zhao, Yi Luan, Keith B. Hall, Ming-Wei Chang, Yinfei Yang
2021	A*	`conf`	Open Question Answering over Tables and Text. ICLR Wenhu Chen, Ming-Wei Chang, Eva Schlinger, William Yang Wang, William W. Cohen
2021	J	`jnl`	Revisiting the Primacy of English in Zero-shot Cross-lingual Transfer. CoRR Iulia Turc, Kenton Lee, Jacob Eisenstein, Ming-Wei Chang, Kristina Toutanova
2021	J	`jnl`	Unlocking Compositional Generalization in Pre-trained Models Using Intermediate Representations. CoRR Jonathan Herzig, Peter Shaw, Ming-Wei Chang, Kelvin Guu, Panupong Pasupat, Yuan Zhang
2020	J	`jnl`	CapWAP: Captioning with a Purpose. CoRR Adam Fisch, Kenton Lee, Ming-Wei Chang, Jonathan H. Clark, Regina Barzilay
2020	—	`conf`	CapWAP: Image Captioning with a Purpose. EMNLP (1) Adam Fisch, Kenton Lee, Ming-Wei Chang, Jonathan H. Clark, Regina Barzilay
2020	J	`jnl`	Compositional Generalization and Natural Language Variation: Can a Semantic Parsing Approach Handle Both? CoRR Peter Shaw, Ming-Wei Chang, Panupong Pasupat, Kristina Toutanova
2020	A*	`conf`	Exploring Unexplored Generalization Challenges for Cross-Database Semantic Parsing. ACL Alane Suhr, Ming-Wei Chang, Peter Shaw, Kenton Lee
2020	J	`jnl`	Open Question Answering over Tables and Text. CoRR Wenhu Chen, Ming-Wei Chang, Eva Schlinger, William Yang Wang, William W. Cohen
2020	A*	`conf`	Probabilistic Assumptions Matter: Improved Models for Distantly-Supervised Document-Level Question Answering. ACL Hao Cheng, Ming-Wei Chang, Kenton Lee, Kristina Toutanova
2020	J	`jnl`	Probabilistic Assumptions Matter: Improved Models for Distantly-Supervised Document-Level Question Answering. CoRR Hao Cheng, Ming-Wei Chang, Kenton Lee, Kristina Toutanova
2020	J	`jnl`	REALM: Retrieval-Augmented Language Model Pre-Training. CoRR Kelvin Guu, Kenton Lee, Zora Tung, Panupong Pasupat, Ming-Wei Chang
2020	A*	`conf`	Retrieval Augmented Language Model Pre-Training. ICML Kelvin Guu, Kenton Lee, Zora Tung, Panupong Pasupat, Ming-Wei Chang
2019	—	`conf`	BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding. NAACL-HLT (1) Jacob Devlin, Ming-Wei Chang, Kenton Lee, Kristina Toutanova
2019	—	`conf`	BoolQ: Exploring the Surprising Difficulty of Natural Yes/No Questions. NAACL-HLT (1) Christopher Clark, Kenton Lee, Ming-Wei Chang, Tom Kwiatkowski, Michael Collins, Kristina Toutanova
2019	J	`jnl`	BoolQ: Exploring the Surprising Difficulty of Natural Yes/No Questions. CoRR Christopher Clark, Kenton Lee, Ming-Wei Chang, Tom Kwiatkowski, Michael Collins, Kristina Toutanova
2019	—	`conf`	Handling Divergent Reference Texts when Evaluating Table-to-Text Generation. ACL (1) Bhuwan Dhingra, Manaal Faruqui, Ankur P. Parikh, Ming-Wei Chang, Dipanjan Das, William W. Cohen
2019	J	`jnl`	Handling Divergent Reference Texts when Evaluating Table-to-Text Generation. CoRR Bhuwan Dhingra, Manaal Faruqui, Ankur P. Parikh, Ming-Wei Chang, Dipanjan Das, William W. Cohen
2019	J	`jnl`	Language Model Pre-training for Hierarchical Document Representations. CoRR Ming-Wei Chang, Kristina Toutanova, Kenton Lee, Jacob Devlin
2019	—	`conf`	Latent Retrieval for Weakly Supervised Open Domain Question Answering. ACL (1) Kenton Lee, Ming-Wei Chang, Kristina Toutanova
2019	J	`jnl`	Latent Retrieval for Weakly Supervised Open Domain Question Answering. CoRR Kenton Lee, Ming-Wei Chang, Kristina Toutanova
2019	J	`jnl`	Natural Questions: a Benchmark for Question Answering Research. Trans. Assoc. Comput. Linguistics Tom Kwiatkowski, Jennimaria Palomaki, Olivia Redfield, Michael Collins, Ankur P. Parikh, Chris Alberti, Danielle Epstein, Illia Polosukhin, Jacob Devlin, Kenton Lee, Kristina Toutanova, Llion Jones, Matthew Kelcey, Ming-Wei Chang, Andrew M. Dai, Jakob Uszkoreit, Quoc Le, Slav Petrov
2019	J	`jnl`	Well-Read Students Learn Better: The Impact of Student Initialization on Knowledge Distillation. CoRR Iulia Turc, Ming-Wei Chang, Kenton Lee, Kristina Toutanova
2019	—	`conf`	Zero-Shot Entity Linking by Reading Entity Descriptions. ACL (1) Lajanugen Logeswaran, Ming-Wei Chang, Kenton Lee, Kristina Toutanova, Jacob Devlin, Honglak Lee
2019	J	`jnl`	Zero-Shot Entity Linking by Reading Entity Descriptions. CoRR Lajanugen Logeswaran, Ming-Wei Chang, Kenton Lee, Kristina Toutanova, Jacob Devlin, Honglak Lee
2018	A*	`conf`	A Knowledge-Grounded Neural Conversation Model. AAAI Marjan Ghazvininejad, Chris Brockett, Ming-Wei Chang, Bill Dolan, Jianfeng Gao, Wen-tau Yih, Michel Galley
2018	J	`jnl`	BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding. CoRR Jacob Devlin, Ming-Wei Chang, Kenton Lee, Kristina Toutanova
2018	J	`jnl`	Improving Span-based Question Answering Systems with Coarsely Labeled Data. CoRR Hao Cheng, Ming-Wei Chang, Kenton Lee, Ankur P. Parikh, Michael Collins, Kristina Toutanova
2018	A*	`conf`	Policy Shaping and Generalized Update Equations for Semantic Parsing from Denotations. EMNLP Dipendra Misra, Ming-Wei Chang, Xiaodong He, Wen-tau Yih
2018	J	`jnl`	Policy Shaping and Generalized Update Equations for Semantic Parsing from Denotations. CoRR Dipendra Misra, Ming-Wei Chang, Xiaodong He, Wen-tau Yih
2017	J	`jnl`	A Knowledge-Grounded Neural Conversation Model. CoRR Marjan Ghazvininejad, Chris Brockett, Ming-Wei Chang, Bill Dolan, Jianfeng Gao, Wen-tau Yih, Michel Galley
2017	—	`conf`	Annotating Derivations: A New Evaluation Strategy and Dataset for Algebra Word Problems. EACL (1) Shyam Upadhyay, Ming-Wei Chang
2017	A*	`conf`	Maximum Margin Reward Networks for Learning from Explicit and Implicit Supervision. EMNLP Haoruo Peng, Ming-Wei Chang, Wen-tau Yih
2017	—	`conf`	Modeling Large-Scale Structured Relationships with Shared Memory for Knowledge Base Completion. Rep4NLP@ACL Yelong Shen, Po-Sen Huang, Ming-Wei Chang, Jianfeng Gao
2017	—	`ed.`	Proceedings of the 2nd Workshop on Structured Prediction for Natural Language Processing, SPNLP@EMNLP, Copenhagen, Denmark, September 2017 SPNLP@EMNLP Kai-Wei Chang, Ming-Wei Chang, Vivek Srikumar, Alexander M. Rush
2017	—	`conf`	Search-based Neural Structured Learning for Sequential Question Answering. ACL (1) Mohit Iyyer, Wen-tau Yih, Ming-Wei Chang
2016	J	`jnl`	Annotating Derivations: A New Evaluation Strategy and Dataset for Algebra Word Problems. CoRR Shyam Upadhyay, Ming-Wei Chang
2016	J	`jnl`	Answering Complicated Question Intents Expressed in Decomposed Question Sequences. CoRR Mohit Iyyer, Wen-tau Yih, Ming-Wei Chang
2016	—	`conf`	From Entity Linking to Question Answering - Recent Progress on Semantic Grounding Tasks. NUT@COLING Ming-Wei Chang
2016	J	`jnl`	Implicit ReasoNet: Modeling Large-Scale Structured Relationships with Shared Memory. CoRR Yelong Shen, Po-Sen Huang, Ming-Wei Chang, Jianfeng Gao
2016	A*	`conf`	Learning from Explicit and Implicit Supervision Jointly For Algebra Word Problems. EMNLP Shyam Upadhyay, Ming-Wei Chang, Kai-Wei Chang, Wen-tau Yih
2016	—	`ed.`	Proceedings of the Workshop on Structured Prediction for NLP@EMNLP 2016, Austin, TX, USA, November 5, 2016 SPNLP@EMNLP Kai-Wei Chang, Ming-Wei Chang, Alexander M. Rush, Vivek Srikumar
2016	J	`jnl`	S-MART: Novel Tree-based Structured Learning Algorithms Applied to Tweet Entity Linking. CoRR Yi Yang, Ming-Wei Chang
2016	—	`conf`	The Value of Semantic Parse Labeling for Knowledge Base Question Answering. ACL (2) Wen-tau Yih, Matthew Richardson, Christopher Meek, Ming-Wei Chang, Jina Suh
2016	A*	`conf`	Toward Socially-Infused Information Extraction: Embedding Authors, Mentions, and Entities. EMNLP Yi Yang, Ming-Wei Chang, Jacob Eisenstein
2016	J	`jnl`	Toward Socially-Infused Information Extraction: Embedding Authors, Mentions, and Entities. CoRR Yi Yang, Ming-Wei Chang, Jacob Eisenstein
2015	J	`jnl`	IllinoisSL: A JAVA Library for Structured Prediction. CoRR Kai-Wei Chang, Shyam Upadhyay, Ming-Wei Chang, Vivek Srikumar, Dan Roth
2015	—	`conf`	Inferring Missing Entity Type Instances for Knowledge Base Completion: New Dataset and Methods. HLT-NAACL Arvind Neelakantan, Ming-Wei Chang
2015	J	`jnl`	Inferring Missing Entity Type Instances for Knowledge Base Completion: New Dataset and Methods. CoRR Arvind Neelakantan, Ming-Wei Chang
2015	A*	`conf`	Open Domain Question Answering via Semantic Enrichment. WWW Huan Sun, Hao Ma, Wen-tau Yih, Chen-Tse Tsai, Jingjing Liu, Ming-Wei Chang
2015	A*	`conf`	Placer++: Semantic place labels beyond the visit. PerCom John Krumm, Dany Rouhana, Ming-Wei Chang
2015	—	`conf`	S-MART: Novel Tree-based Structured Learning Algorithms Applied to Tweet Entity Linking. ACL (1) Yi Yang, Ming-Wei Chang
2015	—	`conf`	Semantic Parsing via Staged Query Graph Generation: Question Answering with Knowledge Base. ACL (1) Wen-tau Yih, Ming-Wei Chang, Xiaodong He, Jianfeng Gao
2014	—	`conf`	E2E: An End-to-End Entity Linking System for Short and Noisy Text. #MSM Ming-Wei Chang, Bo-June Paul Hsu, Hao Ma, Ricky Loynd, Kuansan Wang
2014	—	`ed.`	ERD'14, Proceedings of the First ACM International Workshop on Entity Recognition & Disambiguation, July 11, 2014, Gold Coast, Queensland, Australia ERD@SIGIR David Carmel, Ming-Wei Chang, Evgeniy Gabrilovich, Bo-June Paul Hsu, Kuansan Wang
2014	J	`jnl`	ERD'14: Entity Recognition and Disambiguation Challenge. SIGIR Forum David Carmel, Ming-Wei Chang, Evgeniy Gabrilovich, Bo-June Paul Hsu, Kuansan Wang
2014	A*	`conf`	ERD'14: entity recognition and disambiguation challenge. SIGIR David Carmel, Ming-Wei Chang, Evgeniy Gabrilovich, Bo-June Paul Hsu, Kuansan Wang
2014	J	`jnl`	Entity Linking on Microblogs with Spatial and Temporal Signals. Trans. Assoc. Comput. Linguistics Yuan Fang, Ming-Wei Chang
2014	A*	`conf`	Modeling action-level satisfaction for search task satisfaction prediction. SIGIR Hongning Wang, Yang Song, Ming-Wei Chang, Xiaodong He, Ahmed Hassan Awadallah, Ryen W. White
2014	—	`conf`	Segmentation based stereo matching using color grouping. SIGGRAPH Posters Hsin-Wei Wang, Ming-Wei Chang, Hong Shiang Lin, Ming Ouhyoung
2014	B	`conf`	Virtual keyboard for head mounted display-based wearable devices. ICPADS Ming-Wei Chang, Tzi-cker Chiueh, Chia-Ming Chang
2014	—	`conf`	Wikification and Beyond: The Challenges of Entity and Concept Grounding. ACL (Tutorial Abstracts) Dan Roth, Heng Ji, Ming-Wei Chang, Taylor Cassidy
2013	J	`jnl`	Dual Coordinate Descent Algorithms for Efficient Large Margin Structured Prediction. Trans. Assoc. Comput. Linguistics Ming-Wei Chang, Wen-tau Yih
2013	A*	`conf`	Learning to extract cross-session search tasks. WWW Hongning Wang, Yang Song, Ming-Wei Chang, Xiaodong He, Ryen W. White, Wei Chu
2013	A*	`conf`	Personalized ranking model adaptation for web search. SIGIR Hongning Wang, Xiaodong He, Ming-Wei Chang, Yang Song, Ryen W. White, Wei Chu
2013	—	`conf`	Question Answering Using Enhanced Lexical Semantic Models. ACL (1) Wen-tau Yih, Ming-Wei Chang, Christopher Meek, Andrzej Pastusiak
2013	—	`conf`	To Link or Not to Link? A Study on End-to-End Tweet Entity Linking. HLT-NAACL Stephen D. Guo, Ming-Wei Chang, Emre Kiciman
2012	A*	`conf`	Learning shared body plans. CVPR Ian Endres, Vivek Srikumar, Ming-Wei Chang, Derek Hoiem
2012	J	`jnl`	Structured learning with constrained conditional models. Mach. Learn. Ming-Wei Chang, Lev-Arie Ratinov, Dan Roth
2012	—	`conf`	Unified Expectation Maximization. HLT-NAACL Rajhans Samdani, Ming-Wei Chang, Dan Roth
2011	—	`—`	Structured prediction with indirect supervision Ming-Wei Chang
2011	—	`conf`	Structured prediction with indirect supervision. MLSLP Ming-Wei Chang, James Clarke, Dan Goldwasser, Lev-Arie Ratinov, Vivek Srikumar, Dan Roth
2010	—	`conf`	Discriminative Learning over Constrained Latent Representations. HLT-NAACL Ming-Wei Chang, Dan Goldwasser, Dan Roth, Vivek Srikumar
2010	B	`conf`	Driving Semantic Parsing from the World's Response. CoNLL James Clarke, Dan Goldwasser, Ming-Wei Chang, Dan Roth
2010	J	`jnl`	Modified Frequency-Partitioned Spectrum Estimation for a Wireless Health Advanced Monitoring Bio-Diagnosis System. IEEE Trans. Syst. Man Cybern. Part A Ching-En Tseng, Jia-Yush Yen, Ming-Wei Chang, Wei-Chien Chang, Chih-Kung Lee
2010	J	`jnl`	Novel Approach to Fuzzy-Wavelet ECG Signal Analysis for a Mobile Device. J. Medical Syst. Ching-En Tseng, Ching-Yu Peng, Ming-Wei Chang, Jia-Yush Yen, Chih-Kung Lee, Tse-Shih Huang
2010	A*	`conf`	Structured Output Learning with Indirect Supervision. ICML Ming-Wei Chang, Vivek Srikumar, Dan Goldwasser, Dan Roth
2010	A*	`conf`	The Necessity of Combining Adaptation Methods. EMNLP Ming-Wei Chang, Michael Connor, Dan Roth
2009	—	`conf`	Implementation and Optimization of DSP Suspend Resume on Dual-Core SOC. ICESS Ming-Wei Chang, Shau-Yin Tseng, Homn Lin, Ching-Lung Su
2009	—	`conf`	Relation Alignment for Textual Entailment Recognition. TAC Mark Sammons, V. G. Vinod Vydiswaran, Tim Vieira, Nikhil Johri, Ming-Wei Chang, Dan Goldwasser, Vivek Srikumar, Gourab Kundu, Yuancheng Tu, Kevin Small, Joshua S. Rule, Quang Do, Dan Roth
2009	—	`conf`	Unsupervised Constraint Driven Learning For Transliteration Discovery. HLT-NAACL Ming-Wei Chang, Dan Goldwasser, Dan Roth, Yuancheng Tu
2008	—	`conf`	Energy-Efficient Real-Time Co-scheduling of Multimedia DSP Jobs. SUTC Chien-Wei Chen, Chuan-Yue Yang, Tei-Wei Kuo, Ming-Wei Chang
2008	A*	`conf`	Importance of Semantic Representation: Dataless Classification. AAAI Ming-Wei Chang, Lev-Arie Ratinov, Dan Roth, Vivek Srikumar
2008	A*	`conf`	Learning and Inference with Constraints. AAAI Ming-Wei Chang, Lev-Arie Ratinov, Nicholas Rizzolo, Dan Roth
2008	A*	`conf`	Partitioned logistic regression for spam filtering. KDD Ming-Wei Chang, Wen-tau Yih, Christopher Meek
2008	—	`conf`	Personalized Spam Filtering for Gray Mail. CEAS Ming-Wei Chang, Scott Yih, Robert McCann
2007	J	`jnl`	Fabrication and characterization of a microelectromechanical tunable capacitor. Microelectron. J. Ching-Liang Dai, Shih-Chieh Lin, Ming-Wei Chang
2007	A*	`conf`	Guiding Semi-Supervision with Constraint-Driven Learning. ACL Ming-Wei Chang, Lev-Arie Ratinov, Dan Roth
2007	J	`jnl`	Modeling and fabrication of a microelectromechanical microwave switch. Microelectron. J. Ching-Liang Dai, Heng-Ming Hsu, Ming-Chang Tsai, Ming-Ming Hsieh, Ming-Wei Chang
2007	J	`jnl`	Simulation and fabrication of HF microelectromechanical bandpass filter. Microelectron. J. Ching-Liang Dai, Ming-Chao Chiang, Ming-Wei Chang
2006	A*	`conf`	A Pipeline Framework for Dependency Parsing. ACL Ming-Wei Chang, Quang Do, Dan Roth
2006	B	`conf`	A Pipeline Model for Bottom-Up Dependency Parsing. CoNLL Ming-Wei Chang, Quang Do, Dan Roth
2005	J	`jnl`	Leave-One-Out Bounds for Support Vector Regression Model Selection. Neural Comput. Ming-Wei Chang, Chih-Jen Lin
2004	J	`jnl`	Analysis of switching dynamics with competing support vector machines. IEEE Trans. Neural Networks Ming-Wei Chang, Chih-Jen Lin, Ruby Chiu-Hsing Weng
2002	—	`conf`	Analysis of Nonstationary Time Series Using Support Vector Machines. SVM Ming-Wei Chang, Chih-Jen Lin, Ruby C. Weng