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- affiliation: University of Michigan, Ann Arbor, USA
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2020 – today
- 2024
[j35]Yachuan Liu, Jiaqi Ma, Paramveer Dhillon, Qiaozhu Mei:
PM2.5 forecasting under distribution shift: A graph learning approach. AI Open 5: 23-29 (2024)- [j34]Jin Huang, Xingjian Zhang, Qiaozhu Mei, Jiaqi Ma:
Can LLMs Effectively Leverage Graph Structural Information through Prompts, and Why? Trans. Mach. Learn. Res. 2024 (2024) - [j33]Fuqi Lin
, Xuan Lu, Wei Ai, Huoran Li, Yun Ma, Yulian Yang, Hongfei Deng, Qingxiang Wang, Qiaozhu Mei, Xuanzhe Liu:
Adoption of Recurrent Innovations: A Large-Scale Case Study on Mobile App Updates. ACM Trans. Web 18(1): 13:1-13:26 (2024) - [c130]Weize Kong, Spurthi Amba Hombaiah, Mingyang Zhang, Qiaozhu Mei, Michael Bendersky:
PRewrite: Prompt Rewriting with Reinforcement Learning. ACL (Short Papers) 2024: 594-601 - [c129]Zixuan Ke, Weize Kong, Cheng Li, Mingyang Zhang, Qiaozhu Mei, Michael Bendersky:
Bridging the Preference Gap between Retrievers and LLMs. ACL (1) 2024: 10438-10451 - [c128]Yuhang Zhou, Xuan Lu, Ge Gao, Qiaozhu Mei, Wei Ai:
Emoji Promotes Developer Participation and Issue Resolution on GitHub. ICWSM 2024: 1833-1846 - [c127]Himabindu Lakkaraju, Qiaozhu Mei, Chenhao Tan, Jie Tang, Yutong Xie:
The First Workshop on AI Behavioral Science. KDD 2024: 6724-6725 - [c126]Michael Bendersky, Cheng Li, Qiaozhu Mei, Vanessa Murdock, Jie Tang, Hongning Wang, Hamed Zamani, Mingyang Zhang, Xingjian Zhang:
The Second Workshop on Large Language Models for Individuals, Groups, and Society. SIGIR 2024: 3062-3064 - [c125]Michael Bendersky, Cheng Li, Qiaozhu Mei, Vanessa Murdock, Jie Tang, Hongning Wang, Hamed Zamani, Mingyang Zhang:
WSDM 2024 Workshop on Large Language Models for Individuals, Groups, and Society. WSDM 2024: 1206-1207 - [c124]David Y. Kang, Qiaozhu Mei, Sang-Wook Kim:
Low Mileage, High Fidelity: Evaluating Hypergraph Expansion Methods by Quantifying the Information Loss. WWW 2024: 959-968 - [c123]Cheng Li, Mingyang Zhang, Qiaozhu Mei, Weize Kong, Michael Bendersky:
Learning to Rewrite Prompts for Personalized Text Generation. WWW 2024: 3367-3378 - [i61]Zixuan Ke, Weize Kong, Cheng Li, Mingyang Zhang, Qiaozhu Mei, Michael Bendersky:
Bridging the Preference Gap between Retrievers and LLMs. CoRR abs/2401.06954 (2024) - [i60]Weize Kong, Spurthi Amba Hombaiah, Mingyang Zhang, Qiaozhu Mei, Michael Bendersky:
PRewrite: Prompt Rewriting with Reinforcement Learning. CoRR abs/2401.08189 (2024) - [i59]Tao Chen, Siqi Zuo, Cheng Li, Mingyang Zhang, Qiaozhu Mei, Michael Bendersky:
Unlocking the 'Why' of Buying: Introducing a New Dataset and Benchmark for Purchase Reason and Post-Purchase Experience. CoRR abs/2402.13417 (2024) - [i58]Xingjian Zhang, Yutong Xie, Jin Huang, Jinge Ma, Zhaoying Pan, Qijia Liu, Ziyang Xiong, Tolga Ergen, Dongsub Shim, Honglak Lee, Qiaozhu Mei:
MASSW: A New Dataset and Benchmark Tasks for AI-Assisted Scientific Workflows. CoRR abs/2406.06357 (2024) - [i57]Hua Shen, Tiffany Knearem, Reshmi Ghosh, Kenan Alkiek, Kundan Krishna, Yachuan Liu, Ziqiao Ma, Savvas Petridis, Yi-Hao Peng, Li Qiwei, Sushrita Rakshit, Chenglei Si, Yutong Xie, Jeffrey P. Bigham, Frank Bentley, Joyce Chai, Zachary C. Lipton, Qiaozhu Mei, Rada Mihalcea, Michael Terry, Diyi Yang, Meredith Ringel Morris, Paul Resnick, David Jurgens:
Towards Bidirectional Human-AI Alignment: A Systematic Review for Clarifications, Framework, and Future Directions. CoRR abs/2406.09264 (2024) - [i56]Teng Ye, Jingnan Zheng, Junhui Jin, Jingyi Qiu, Wei Ai, Qiaozhu Mei:
Using Artificial Intelligence to Unlock Crowdfunding Success for Small Businesses. CoRR abs/2407.09480 (2024) - [i55]Zhuowan Li, Cheng Li, Mingyang Zhang, Qiaozhu Mei, Michael Bendersky:
Retrieval Augmented Generation or Long-Context LLMs? A Comprehensive Study and Hybrid Approach. CoRR abs/2407.16833 (2024) - 2023
- [j32]Wei Ai, Yan Chen, Qiaozhu Mei, Jieping Ye, Lingyu Zhang:
Putting Teams into the Gig Economy: A Field Experiment at a Ride-Sharing Platform. Manag. Sci. 69(9): 5336-5353 (2023) - [j31]Jiaqi Ma, Ziqiao Ma, Joyce Chai, Qiaozhu Mei:
Partition-Based Active Learning for Graph Neural Networks. Trans. Mach. Learn. Res. 2023 (2023) - [j30]Aarohi Srivastava, Abhinav Rastogi, Abhishek Rao, Abu Awal Md Shoeb, Abubakar Abid, Adam Fisch, Adam R. Brown, Adam Santoro, Aditya Gupta, Adrià Garriga-Alonso, Agnieszka Kluska, Aitor Lewkowycz, Akshat Agarwal, Alethea Power, Alex Ray, Alex Warstadt, Alexander W. Kocurek, Ali Safaya, Ali Tazarv, Alice Xiang, Alicia Parrish, Allen Nie, Aman Hussain, Amanda Askell, Amanda Dsouza, Ambrose Slone, Ameet Rahane, Anantharaman S. Iyer, Anders Andreassen, Andrea Madotto, Andrea Santilli, Andreas Stuhlmüller, Andrew M. Dai, Andrew La, Andrew K. Lampinen, Andy Zou, Angela Jiang, Angelica Chen, Anh Vuong, Animesh Gupta, Anna Gottardi, Antonio Norelli, Anu Venkatesh, Arash Gholamidavoodi, Arfa Tabassum, Arul Menezes, Arun Kirubarajan, Asher Mullokandov, Ashish Sabharwal, Austin Herrick, Avia Efrat, Aykut Erdem, Ayla Karakas, B. Ryan Roberts, Bao Sheng Loe, Barret Zoph, Bartlomiej Bojanowski, Batuhan Özyurt, Behnam Hedayatnia, Behnam Neyshabur, Benjamin Inden, Benno Stein, Berk Ekmekci, Bill Yuchen Lin, Blake Howald, Bryan Orinion, Cameron Diao, Cameron Dour, Catherine Stinson, Cedrick Argueta, Cèsar Ferri Ramírez, Chandan Singh, Charles Rathkopf, Chenlin Meng, Chitta Baral, Chiyu Wu, Chris Callison-Burch, Chris Waites, Christian Voigt, Christopher D. Manning, Christopher Potts, Cindy Ramirez, Clara E. Rivera, Clemencia Siro, Colin Raffel, Courtney Ashcraft, Cristina Garbacea, Damien Sileo, Dan Garrette, Dan Hendrycks, Dan Kilman, Dan Roth, Daniel Freeman, Daniel Khashabi, Daniel Levy, Daniel Moseguí González, Danielle Perszyk, Danny Hernandez, Danqi Chen, Daphne Ippolito, Dar Gilboa, David Dohan, David Drakard, David Jurgens, Debajyoti Datta, Deep Ganguli, Denis Emelin, Denis Kleyko, Deniz Yuret, Derek Chen, Derek Tam, Dieuwke Hupkes, Diganta Misra, Dilyar Buzan, Dimitri Coelho Mollo, Diyi Yang, Dong-Ho Lee, Dylan Schrader, Ekaterina Shutova, Ekin Dogus Cubuk, Elad Segal, Eleanor Hagerman, Elizabeth Barnes, Elizabeth Donoway, Ellie Pavlick, Emanuele Rodolà, Emma Lam, Eric Chu, Eric Tang, Erkut Erdem, Ernie Chang, Ethan A. Chi, Ethan Dyer, Ethan J. Jerzak, Ethan Kim, Eunice Engefu Manyasi, Evgenii Zheltonozhskii, Fanyue Xia, Fatemeh Siar, Fernando Martínez-Plumed, Francesca Happé, François Chollet, Frieda Rong, Gaurav Mishra, Genta Indra Winata, Gerard de Melo, Germán Kruszewski, Giambattista Parascandolo, Giorgio Mariani, Gloria Wang, Gonzalo Jaimovitch-López, Gregor Betz, Guy Gur-Ari, Hana Galijasevic, Hannah Kim, Hannah Rashkin, Hannaneh Hajishirzi, Harsh Mehta, Hayden Bogar, Henry Shevlin, Hinrich Schütze, Hiromu Yakura, Hongming Zhang, Hugh Mee Wong, Ian Ng, Isaac Noble, Jaap Jumelet, Jack Geissinger, Jackson Kernion, Jacob Hilton, Jaehoon Lee, Jaime Fernández Fisac, James B. Simon, James Koppel, James Zheng, James Zou, Jan Kocon, Jana Thompson, Janelle Wingfield, Jared Kaplan, Jarema Radom, Jascha Sohl-Dickstein, Jason Phang, Jason Wei, Jason Yosinski, Jekaterina Novikova, Jelle Bosscher, Jennifer Marsh, Jeremy Kim, Jeroen Taal, Jesse H. Engel, Jesujoba Alabi, Jiacheng Xu, Jiaming Song, Jillian Tang, Joan Waweru, John Burden, John Miller, John U. Balis, Jonathan Batchelder, Jonathan Berant, Jörg Frohberg, Jos Rozen, José Hernández-Orallo, Joseph Boudeman, Joseph Guerr, Joseph Jones, Joshua B. Tenenbaum, Joshua S. Rule, Joyce Chua, Kamil Kanclerz, Karen Livescu, Karl Krauth, Karthik Gopalakrishnan, Katerina Ignatyeva, Katja Markert, Kaustubh D. Dhole, Kevin Gimpel, Kevin Omondi, Kory Mathewson, Kristen Chiafullo, Ksenia Shkaruta, Kumar Shridhar, Kyle McDonell, Kyle Richardson, Laria Reynolds, Leo Gao, Li Zhang, Liam Dugan, Lianhui Qin, Lidia Contreras Ochando, Louis-Philippe Morency, Luca Moschella, Lucas Lam, Lucy Noble, Ludwig Schmidt, Luheng He, Luis Oliveros Colón, Luke Metz, Lütfi Kerem Senel, Maarten Bosma, Maarten Sap, Maartje ter Hoeve, Maheen Farooqi, Manaal Faruqui, Mantas Mazeika, Marco Baturan, Marco Marelli, Marco Maru, María José Ramírez-Quintana, Marie Tolkiehn, Mario Giulianelli, Martha Lewis, Martin Potthast, Matthew L. Leavitt, Matthias Hagen, Mátyás Schubert, Medina Baitemirova, Melody Arnaud, Melvin McElrath, Michael A. Yee, Michael Cohen, Michael Gu, Michael I. Ivanitskiy, Michael Starritt, Michael Strube, Michal Swedrowski, Michele Bevilacqua, Michihiro Yasunaga, Mihir Kale, Mike Cain, Mimee Xu, Mirac Suzgun, Mitch Walker, Mo Tiwari, Mohit Bansal, Moin Aminnaseri, Mor Geva, Mozhdeh Gheini, Mukund Varma T., Nanyun Peng, Nathan A. Chi, Nayeon Lee, Neta Gur-Ari Krakover, Nicholas Cameron, Nicholas Roberts, Nick Doiron, Nicole Martinez, Nikita Nangia, Niklas Deckers, Niklas Muennighoff, Nitish Shirish Keskar, Niveditha Iyer, Noah Constant, Noah Fiedel, Nuan Wen, Oliver Zhang, Omar Agha, Omar Elbaghdadi, Omer Levy, Owain Evans, Pablo Antonio Moreno Casares, Parth Doshi, Pascale Fung, Paul Pu Liang, Paul Vicol, Pegah Alipoormolabashi, Peiyuan Liao, Percy Liang, Peter Chang, Peter Eckersley, Phu Mon Htut, Pinyu Hwang, Piotr Milkowski, Piyush Patil, Pouya Pezeshkpour, Priti Oli, Qiaozhu Mei, Qing Lyu, Qinlang Chen, Rabin Banjade, Rachel Etta Rudolph, Raefer Gabriel, Rahel Habacker, Ramon Risco, Raphaël Millière, Rhythm Garg, Richard Barnes, Rif A. Saurous, Riku Arakawa, Robbe Raymaekers, Robert Frank, Rohan Sikand, Roman Novak, Roman Sitelew, Ronan LeBras, Rosanne Liu, Rowan Jacobs, Rui Zhang, Ruslan Salakhutdinov, Ryan Chi, Ryan Lee, Ryan Stovall, Ryan Teehan, Rylan Yang, Sahib Singh, Saif M. Mohammad, Sajant Anand, Sam Dillavou, Sam Shleifer, Sam Wiseman, Samuel Gruetter, Samuel R. Bowman, Samuel S. Schoenholz, Sanghyun Han, Sanjeev Kwatra, Sarah A. Rous, Sarik Ghazarian, Sayan Ghosh, Sean Casey, Sebastian Bischoff, Sebastian Gehrmann, Sebastian Schuster, Sepideh Sadeghi, Shadi Hamdan, Sharon Zhou, Shashank Srivastava, Sherry Shi, Shikhar Singh, Shima Asaadi, Shixiang Shane Gu, Shubh Pachchigar, Shubham Toshniwal, Shyam Upadhyay, Shyamolima (Shammie) Debnath, Siamak Shakeri, Simon Thormeyer, Simone Melzi, Siva Reddy, Sneha Priscilla Makini, Soo-Hwan Lee, Spencer Torene, Sriharsha Hatwar, Stanislas Dehaene, Stefan Divic, Stefano Ermon, Stella Biderman, Stephanie Lin, Stephen Prasad, Steven T. Piantadosi, Stuart M. Shieber, Summer Misherghi, Svetlana Kiritchenko, Swaroop Mishra, Tal Linzen, Tal Schuster, Tao Li, Tao Yu, Tariq Ali, Tatsu Hashimoto, Te-Lin Wu, Théo Desbordes, Theodore Rothschild, Thomas Phan, Tianle Wang, Tiberius Nkinyili, Timo Schick, Timofei Kornev, Titus Tunduny, Tobias Gerstenberg, Trenton Chang, Trishala Neeraj, Tushar Khot, Tyler Shultz, Uri Shaham, Vedant Misra, Vera Demberg, Victoria Nyamai, Vikas Raunak, Vinay V. Ramasesh, Vinay Uday Prabhu, Vishakh Padmakumar, Vivek Srikumar, William Fedus, William Saunders, William Zhang, Wout Vossen, Xiang Ren, Xiaoyu Tong, Xinran Zhao, Xinyi Wu, Xudong Shen, Yadollah Yaghoobzadeh, Yair Lakretz, Yangqiu Song, Yasaman Bahri, Yejin Choi, Yichi Yang, Yiding Hao, Yifu Chen, Yonatan Belinkov, Yu Hou, Yufang Hou, Yuntao Bai, Zachary Seid, Zhuoye Zhao, Zijian Wang, Zijie J. Wang, Zirui Wang, Ziyi Wu:
Beyond the Imitation Game: Quantifying and extrapolating the capabilities of language models. Trans. Mach. Learn. Res. 2023 (2023) - [c122]Yutong Xie, Ziqiao Xu, Jiaqi Ma, Qiaozhu Mei:
How Much Space Has Been Explored? Measuring the Chemical Space Covered by Databases and Machine-Generated Molecules. ICLR 2023 - [c121]Xuan Lu, Wei Ai, Yixin Wang, Qiaozhu Mei:
Team Resilience under Shock: An Empirical Analysis of GitHub Repositories during Early COVID-19 Pandemic. ICWSM 2023: 578-589 - [c120]Jiaqi Ma, Jiong Zhu, Yuxiao Dong, Danai Koutra, Jingrui He, Qiaozhu Mei, Anton Tsitsulin, Xingjian Zhang, Marinka Zitnik:
The 3rd Workshop on Graph Learning Benchmarks (GLB 2023). KDD 2023: 5870-5871 - [c119]Ting Wei Li, Qiaozhu Mei, Jiaqi Ma:
A Metadata-Driven Approach to Understand Graph Neural Networks. NeurIPS 2023 - [c118]Yutong Xie, Zhaoying Pan, Jinge Ma, Luo Jie, Qiaozhu Mei:
A Prompt Log Analysis of Text-to-Image Generation Systems. WWW 2023: 3892-3902 - [i54]Xuan Lu, Wei Ai, Yixin Wang, Qiaozhu Mei:
Team Resilience under Shock: An Empirical Analysis of GitHub Repositories during Early COVID-19 Pandemic. CoRR abs/2301.12326 (2023) - [i53]Yutong Xie, Zhaoying Pan, Jinge Ma, Luo Jie, Qiaozhu Mei:
A Prompt Log Analysis of Text-to-Image Generation Systems. CoRR abs/2303.04587 (2023) - [i52]Yachuan Liu, Bohan Zhang, Qiaozhu Mei, Paramveer Dhillon:
Ranking & Reweighting Improves Group Distributional Robustness. CoRR abs/2305.05759 (2023) - [i51]Cheng Li, Mingyang Zhang, Qiaozhu Mei, Yaqing Wang, Spurthi Amba Hombaiah, Yi Liang, Michael Bendersky:
Teach LLMs to Personalize - An Approach inspired by Writing Education. CoRR abs/2308.07968 (2023) - [i50]Yuhang Zhou, Xuan Lu, Ge Gao, Qiaozhu Mei, Wei Ai:
Emoji Promotes Developer Participation and Issue Resolution on GitHub. CoRR abs/2308.16360 (2023) - [i49]Jin Huang, Xingjian Zhang, Qiaozhu Mei, Jiaqi Ma:
Can LLMs Effectively Leverage Graph Structural Information: When and Why. CoRR abs/2309.16595 (2023) - [i48]Cheng Li, Mingyang Zhang, Qiaozhu Mei, Weize Kong, Michael Bendersky:
Automatic Prompt Rewriting for Personalized Text Generation. CoRR abs/2310.00152 (2023) - [i47]Yachuan Liu, Liang Chen, Jindong Wang, Qiaozhu Mei, Xing Xie:
Meta Semantic Template for Evaluation of Large Language Models. CoRR abs/2310.01448 (2023) - [i46]Yaqing Wang, Jiepu Jiang, Mingyang Zhang, Cheng Li, Yi Liang, Qiaozhu Mei, Michael Bendersky:
Automated Evaluation of Personalized Text Generation using Large Language Models. CoRR abs/2310.11593 (2023) - [i45]Ting Wei Li, Qiaozhu Mei, Jiaqi Ma:
A Metadata-Driven Approach to Understand Graph Neural Networks. CoRR abs/2310.19263 (2023) - [i44]Yawen Guo, Rachael Zehrung, Katie Genuario, Xuan Lu, Qiaozhu Mei, Yunan Chen, Kai Zheng:
Perspectives on Privacy in the Post-Roe Era: A Mixed-Methods of Machine Learning and Qualitative Analyses of Tweets. CoRR abs/2311.11486 (2023) - [i43]Qiaozhu Mei, Yutong Xie, Walter Yuan, Matthew O. Jackson:
A Turing Test: Are AI Chatbots Behaviorally Similar to Humans? CoRR abs/2312.00798 (2023) - 2022
- [j29]Weijing Tang, Jiaqi Ma, Qiaozhu Mei, Ji Zhu:
SODEN: A Scalable Continuous-Time Survival Model through Ordinary Differential Equation Networks. J. Mach. Learn. Res. 23: 34:1-34:29 (2022) - [j28]Huoran Li, Fuqi Lin, Xuan Lu, Chenren Xu, Gang Huang, Jun Zhang, Qiaozhu Mei, Xuanzhe Liu:
Systematic Analysis of Fine-Grained Mobility Prediction With On-Device Contextual Data. IEEE Trans. Mob. Comput. 21(3): 1096-1109 (2022) - [c117]Cristina Garbacea, Qiaozhu Mei:
Adapting Pre-trained Language Models to Low-Resource Text Simplification: The Path Matters. CoLLAs 2022: 1103-1119 - [c116]Jiaqi Ma, Xingjian Zhang, Hezheng Fan, Jin Huang, Tianyue Li, Ting Wei Li, Yiwen Tu, Chenshu Zhu, Qiaozhu Mei:
Graph Learning Indexer: A Contributor-Friendly and Metadata-Rich Platform for Graph Learning Benchmarks. LoG 2022: 7 - [c115]Jiaqi Ma, Junwei Deng, Qiaozhu Mei:
Adversarial Attack on Graph Neural Networks as An Influence Maximization Problem. WSDM 2022: 675-685 - [c114]Jiaqi Ma, Xingjian Zhang, Qiaozhu Mei:
Fast Learning of MNL Model from General Partial Rankings with Application to Network Formation Modeling. WSDM 2022: 715-725 - [i42]Jiaqi Ma, Ziqiao Ma, Joyce Chai, Qiaozhu Mei:
Partition-Based Active Learning for Graph Neural Networks. CoRR abs/2201.09391 (2022) - [i41]Aarohi Srivastava, Abhinav Rastogi, Abhishek Rao, Abu Awal Md Shoeb, Abubakar Abid, Adam Fisch, Adam R. Brown, Adam Santoro, Aditya Gupta, Adrià Garriga-Alonso, Agnieszka Kluska, Aitor Lewkowycz, Akshat Agarwal, Alethea Power, Alex Ray, Alex Warstadt, Alexander W. Kocurek, Ali Safaya, Ali Tazarv, Alice Xiang, Alicia Parrish, Allen Nie, Aman Hussain, Amanda Askell, Amanda Dsouza, Ambrose Slone, Ameet Rahane, Anantharaman S. Iyer, Anders Andreassen, Andrea Madotto, Andrea Santilli, Andreas Stuhlmüller, Andrew M. Dai, Andrew La, Andrew K. Lampinen, Andy Zou, Angela Jiang, Angelica Chen, Anh Vuong, Animesh Gupta, Anna Gottardi, Antonio Norelli, Anu Venkatesh, Arash Gholamidavoodi, Arfa Tabassum, Arul Menezes, Arun Kirubarajan, Asher Mullokandov, Ashish Sabharwal, Austin Herrick, Avia Efrat, Aykut Erdem, Ayla Karakas, B. Ryan Roberts, Bao Sheng Loe, Barret Zoph, Bartlomiej Bojanowski, Batuhan Özyurt, Behnam Hedayatnia, Behnam Neyshabur, Benjamin Inden, Benno Stein, Berk Ekmekci, Bill Yuchen Lin, Blake Howald, Bryan Orinion, Cameron Diao, Cameron Dour, Catherine Stinson, Cedrick Argueta, Cèsar Ferri Ramírez, Chandan Singh, Charles Rathkopf, Chenlin Meng, Chitta Baral, Chiyu Wu, Chris Callison-Burch, Chris Waites, Christian Voigt, Christopher D. Manning, Christopher Potts, Cindy Ramirez, Clara E. Rivera, Clemencia Siro, Colin Raffel, Courtney Ashcraft, Cristina Garbacea, Damien Sileo, Dan Garrette, Dan Hendrycks, Dan Kilman, Dan Roth, Daniel Freeman, Daniel Khashabi, Daniel Levy, Daniel Moseguí González, Danielle Perszyk, Danny Hernandez, Danqi Chen, Daphne Ippolito, Dar Gilboa, David Dohan, David Drakard, David Jurgens, Debajyoti Datta, Deep Ganguli, Denis Emelin, Denis Kleyko, Deniz Yuret, Derek Chen, Derek Tam, Dieuwke Hupkes, Diganta Misra, Dilyar Buzan, Dimitri Coelho Mollo, Diyi Yang, Dong-Ho Lee, Dylan Schrader, Ekaterina Shutova, Ekin Dogus Cubuk, Elad Segal, Eleanor Hagerman, Elizabeth Barnes, Elizabeth Donoway, Ellie Pavlick, Emanuele Rodolà, Emma Lam, Eric Chu, Eric Tang, Erkut Erdem, Ernie Chang, Ethan A. Chi, Ethan Dyer, Ethan J. Jerzak, Ethan Kim, Eunice Engefu Manyasi, Evgenii Zheltonozhskii, Fanyue Xia, Fatemeh Siar, Fernando Martínez-Plumed, Francesca Happé, François Chollet, Frieda Rong, Gaurav Mishra, Genta Indra Winata, Gerard de Melo, Germán Kruszewski, Giambattista Parascandolo, Giorgio Mariani, Gloria Wang, Gonzalo Jaimovitch-López, Gregor Betz, Guy Gur-Ari, Hana Galijasevic, Hannah Kim, Hannah Rashkin, Hannaneh Hajishirzi, Harsh Mehta, Hayden Bogar, Henry Shevlin, Hinrich Schütze, Hiromu Yakura, Hongming Zhang, Hugh Mee Wong, Ian Ng, Isaac Noble, Jaap Jumelet, Jack Geissinger, Jackson Kernion, Jacob Hilton, Jaehoon Lee, Jaime Fernández Fisac, James B. Simon, James Koppel, James Zheng, James Zou, Jan Kocon, Jana Thompson, Janelle Wingfield, Jared Kaplan, Jarema Radom, Jascha Sohl-Dickstein, Jason Phang, Jason Wei, Jason Yosinski, Jekaterina Novikova, Jelle Bosscher, Jennifer Marsh, Jeremy Kim, Jeroen Taal, Jesse H. Engel, Jesujoba Alabi, Jiacheng Xu, Jiaming Song, Jillian Tang, Joan Waweru, John Burden, John Miller, John U. Balis, Jonathan Batchelder, Jonathan Berant, Jörg Frohberg, Jos Rozen, José Hernández-Orallo, Joseph Boudeman, Joseph Guerr, Joseph Jones, Joshua B. Tenenbaum, Joshua S. Rule, Joyce Chua, Kamil Kanclerz, Karen Livescu, Karl Krauth, Karthik Gopalakrishnan, Katerina Ignatyeva, Katja Markert, Kaustubh D. Dhole, Kevin Gimpel, Kevin Omondi, Kory Mathewson, Kristen Chiafullo, Ksenia Shkaruta, Kumar Shridhar, Kyle McDonell, Kyle Richardson, Laria Reynolds, Leo Gao, Li Zhang, Liam Dugan, Lianhui Qin, Lidia Contreras Ochando, Louis-Philippe Morency, Luca Moschella, Lucas Lam, Lucy Noble, Ludwig Schmidt, Luheng He, Luis Oliveros Colón, Luke Metz, Lütfi Kerem Senel, Maarten Bosma, Maarten Sap, Maartje ter Hoeve, Maheen Farooqi, Manaal Faruqui, Mantas Mazeika, Marco Baturan, Marco Marelli, Marco Maru, María José Ramírez-Quintana, Marie Tolkiehn, Mario Giulianelli, Martha Lewis, Martin Potthast, Matthew L. Leavitt, Matthias Hagen, Mátyás Schubert, Medina Baitemirova, Melody Arnaud, Melvin McElrath, Michael A. Yee, Michael Cohen, Michael Gu, Michael I. Ivanitskiy, Michael Starritt, Michael Strube, Michal Swedrowski, Michele Bevilacqua, Michihiro Yasunaga, Mihir Kale, Mike Cain, Mimee Xu, Mirac Suzgun, Mitch Walker, Mo Tiwari, Mohit Bansal, Moin Aminnaseri, Mor Geva, Mozhdeh Gheini, Mukund Varma T., Nanyun Peng, Nathan A. Chi, Nayeon Lee, Neta Gur-Ari Krakover, Nicholas Cameron, Nicholas Roberts, Nick Doiron, Nicole Martinez, Nikita Nangia, Niklas Deckers, Niklas Muennighoff, Nitish Shirish Keskar, Niveditha Iyer, Noah Constant, Noah Fiedel, Nuan Wen, Oliver Zhang, Omar Agha, Omar Elbaghdadi, Omer Levy, Owain Evans, Pablo Antonio Moreno Casares, Parth Doshi, Pascale Fung, Paul Pu Liang, Paul Vicol, Pegah Alipoormolabashi, Peiyuan Liao, Percy Liang, Peter Chang, Peter Eckersley, Phu Mon Htut, Pinyu Hwang, Piotr Milkowski, Piyush Patil, Pouya Pezeshkpour, Priti Oli, Qiaozhu Mei, Qing Lyu, Qinlang Chen, Rabin Banjade, Rachel Etta Rudolph, Raefer Gabriel, Rahel Habacker, Ramon Risco, Raphaël Millière, Rhythm Garg, Richard Barnes, Rif A. Saurous, Riku Arakawa, Robbe Raymaekers, Robert Frank, Rohan Sikand, Roman Novak, Roman Sitelew, Ronan LeBras, Rosanne Liu, Rowan Jacobs, Rui Zhang, Ruslan Salakhutdinov, Ryan Chi, Ryan Lee, Ryan Stovall, Ryan Teehan, Rylan Yang, Sahib Singh, Saif M. Mohammad, Sajant Anand, Sam Dillavou, Sam Shleifer, Sam Wiseman, Samuel Gruetter, Samuel R. Bowman, Samuel S. Schoenholz, Sanghyun Han, Sanjeev Kwatra, Sarah A. Rous, Sarik Ghazarian, Sayan Ghosh, Sean Casey, Sebastian Bischoff, Sebastian Gehrmann, Sebastian Schuster, Sepideh Sadeghi, Shadi Hamdan, Sharon Zhou, Shashank Srivastava, Sherry Shi, Shikhar Singh, Shima Asaadi, Shixiang Shane Gu, Shubh Pachchigar, Shubham Toshniwal, Shyam Upadhyay, Shyamolima (Shammie) Debnath, Siamak Shakeri, Simon Thormeyer, Simone Melzi, Siva Reddy, Sneha Priscilla Makini, Soo-Hwan Lee, Spencer Torene, Sriharsha Hatwar, Stanislas Dehaene, Stefan Divic, Stefano Ermon, Stella Biderman, Stephanie Lin, Stephen Prasad, Steven T. Piantadosi, Stuart M. Shieber, Summer Misherghi, Svetlana Kiritchenko, Swaroop Mishra, Tal Linzen, Tal Schuster, Tao Li, Tao Yu, Tariq Ali, Tatsu Hashimoto, Te-Lin Wu, Théo Desbordes, Theodore Rothschild, Thomas Phan, Tianle Wang, Tiberius Nkinyili, Timo Schick, Timofei Kornev, Titus Tunduny, Tobias Gerstenberg, Trenton Chang, Trishala Neeraj, Tushar Khot, Tyler Shultz, Uri Shaham, Vedant Misra, Vera Demberg, Victoria Nyamai, Vikas Raunak, Vinay V. Ramasesh, Vinay Uday Prabhu, Vishakh Padmakumar, Vivek Srikumar, William Fedus, William Saunders, William Zhang, Wout Vossen, Xiang Ren, Xiaoyu Tong, Xinran Zhao, Xinyi Wu, Xudong Shen, Yadollah Yaghoobzadeh, Yair Lakretz, Yangqiu Song, Yasaman Bahri, Yejin Choi, Yichi Yang, Yiding Hao, Yifu Chen, Yonatan Belinkov, Yu Hou, Yufang Hou, Yuntao Bai, Zachary Seid, Zhuoye Zhao, Zijian Wang, Zijie J. Wang, Zirui Wang, Ziyi Wu:
Beyond the Imitation Game: Quantifying and extrapolating the capabilities of language models. CoRR abs/2206.04615 (2022) - [i40]Cristina Garbacea, Qiaozhu Mei:
Why is constrained neural language generation particularly challenging? CoRR abs/2206.05395 (2022) - [i39]Jiaqi Ma, Xingjian Zhang, Hezheng Fan, Jin Huang, Tianyue Li, Ting Wei Li, Yiwen Tu, Chenshu Zhu, Qiaozhu Mei:
Graph Learning Indexer: A Contributor-Friendly and Metadata-Rich Platform for Graph Learning Benchmarks. CoRR abs/2212.04537 (2022) - 2021
- [j27]Xuedong Li, Walter Yuan, Dezhong Peng, Qiaozhu Mei, Yue Wang:
When BERT meets Bilbo: a learning curve analysis of pretrained language model on disease classification. BMC Medical Informatics Decis. Mak. 21-S(9): 377 (2021) - [j26]Xuanzhe Liu, Shangguang Wang, Yun Ma, Ying Zhang, Qiaozhu Mei, Yunxin Liu, Gang Huang:
Operating Systems for Resource-adaptive Intelligent Software: Challenges and Opportunities. ACM Trans. Internet Techn. 21(2): 27:1-27:19 (2021) - [c113]Cristina Garbacea, Mengtian Guo, Samuel Carton, Qiaozhu Mei:
Explainable Prediction of Text Complexity: The Missing Preliminaries for Text Simplification. ACL/IJCNLP (1) 2021: 1086-1097 - [c112]Jiaqi Ma, Xinyang Yi, Weijing Tang, Zhe Zhao, Lichan Hong, Ed H. Chi, Qiaozhu Mei:
Learning-to-Rank with Partitioned Preference: Fast Estimation for the Plackett-Luce Model. AISTATS 2021: 928-936 - [c111]Jiaqi Ma, Bo Chang, Xuefei Zhang, Qiaozhu Mei:
CopulaGNN: Towards Integrating Representational and Correlational Roles of Graphs in Graph Neural Networks. ICLR 2021 - [c110]Jiaqi Ma, Junwei Deng, Qiaozhu Mei:
Subgroup Generalization and Fairness of Graph Neural Networks. NeurIPS 2021: 1048-1061 - [c109]Jialiang Han, Yun Ma, Qiaozhu Mei, Xuanzhe Liu:
DeepRec: On-device Deep Learning for Privacy-Preserving Sequential Recommendation in Mobile Commerce. WWW 2021: 900-911 - [i38]Xuan Lu, Wei Ai, Zhenpeng Chen, Yanbin Cao, Xuanzhe Liu, Qiaozhu Mei:
Emojis Predict Dropouts of Remote Workers: An Empirical Study of Emoji Usage on GitHub. CoRR abs/2102.05737 (2021) - [i37]Jiaqi Ma, Junwei Deng, Qiaozhu Mei:
Adversarial Attack on Graph Neural Networks as An Influence Maximization Problem. CoRR abs/2106.10785 (2021) - [i36]Jiaqi Ma, Junwei Deng, Qiaozhu Mei:
Subgroup Generalization and Fairness of Graph Neural Networks. CoRR abs/2106.15535 (2021) - [i35]Yutong Xie, Ziqiao Xu, Jiaqi Ma, Qiaozhu Mei:
How Much of the Chemical Space Has Been Covered? Measuring and Improving the Variety of Candidate Set in Molecular Generation. CoRR abs/2112.12542 (2021) - [i34]Jiaqi Ma, Xingjian Zhang, Qiaozhu Mei:
Fast Learning of MNL Model from General Partial Rankings with Application to Network Formation Modeling. CoRR abs/2112.15575 (2021) - 2020
- [j25]Yun Ma, Ziniu Hu, Diandian Gu, Li Zhou, Qiaozhu Mei, Gang Huang, Xuanzhe Liu:
Roaming Through the Castle Tunnels: An Empirical Analysis of Inter-app Navigation of Android Apps. ACM Trans. Web 14(3): 14:1-14:24 (2020) - [c108]Jiazhao Li, Adharsh Murali, Qiaozhu Mei, V. G. Vinod Vydiswaran:
Re-ranking Biomedical Literature for Precision Medicine with Pre-trained Neural Models. ICHI 2020: 1-3 - [c107]Xuedong Li, Walter Yuan, Dezhong Peng, Qiaozhu Mei, Yue Wang:
When BERT Meets Bilbo: A Learning Curve Analysis of Pretrained Language Model on Disease Classification. ICHI 2020: 1-2 - [c106]Qiang Wei, Yujia Zhou, Bo Zhao, Xinyue Hu, Qiaozhu Mei, Cui Tao, Hua Xu:
Named Entity Recognition from Table Headers in Randomized Controlled Trial Articles. ICHI 2020: 1-2 - [c105]Samuel Carton, Qiaozhu Mei, Paul Resnick:
Feature-Based Explanations Don't Help People Detect Misclassifications of Online Toxicity. ICWSM 2020: 95-106 - [c104]Zhenpeng Chen, Sheng Shen, Ziniu Hu, Xuan Lu, Qiaozhu Mei, Xuanzhe Liu:
Emoji-Powered Representation Learning for Cross-Lingual Sentiment Classification (Extended Abstract). IJCAI 2020: 4701-4705 - [c103]Teng Ye, Wei Ai, Lingyu Zhang, Ning Luo, Lulu Zhang, Jieping Ye, Qiaozhu Mei:
Predicting Individual Treatment Effects of Large-scale Team Competitions in a Ride-sharing Economy. KDD 2020: 2368-2377 - [c102]Jiaqi Ma, Shuangrui Ding, Qiaozhu Mei:
Towards More Practical Adversarial Attacks on Graph Neural Networks. NeurIPS 2020 - [c101]Yunzhe Jiang, Cristina Garbacea, Qiaozhu Mei:
UMSIForeseer at SemEval-2020 Task 11: Propaganda Detection by Fine-Tuning BERT with Resampling and Ensemble Learning. SemEval@COLING 2020: 1841-1846 - [i33]Mengwei Xu, Yuxin Zhao, Kaigui Bian, Gang Huang, Qiaozhu Mei, Xuanzhe Liu:
Neural Architecture Search over Decentralized Data. CoRR abs/2002.06352 (2020) - [i32]Jiaqi Ma, Shuangrui Ding, Qiaozhu Mei:
Black-Box Adversarial Attacks on Graph Neural Networks with Limited Node Access. CoRR abs/2006.05057 (2020) - [i31]Jiaqi Ma, Xinyang Yi, Weijing Tang, Zhe Zhao, Lichan Hong, Ed H. Chi, Qiaozhu Mei:
Learning-to-Rank with Partitioned Preference: Fast Estimation for the Plackett-Luce Model. CoRR abs/2006.05067 (2020) - [i30]Cristina Garbacea, Qiaozhu Mei:
Neural Language Generation: Formulation, Methods, and Evaluation. CoRR abs/2007.15780 (2020) - [i29]Cristina Garbacea, Mengtian Guo, Samuel Carton, Qiaozhu Mei:
An Empirical Study on Explainable Prediction of Text Complexity: Preliminaries for Text Simplification. CoRR abs/2007.15823 (2020) - [i28]Teng Ye, Wei Ai, Lingyu Zhang, Ning Luo, Lulu Zhang, Jieping Ye, Qiaozhu Mei:
Predicting Individual Treatment Effects of Large-scale Team Competitions in a Ride-sharing Economy. CoRR abs/2008.07364 (2020) - [i27]Weijing Tang, Jiaqi Ma, Qiaozhu Mei, Ji Zhu:
SODEN: A Scalable Continuous-Time Survival Model through Ordinary Differential Equation Networks. CoRR abs/2008.08637 (2020) - [i26]Jiaqi Ma, Bo Chang, Xuefei Zhang, Qiaozhu Mei:
CopulaGNN: Towards Integrating Representational and Correlational Roles of Graphs in Graph Neural Networks. CoRR abs/2010.02089 (2020)
2010 – 2019
- 2019
- [j24]Qiang Wei, Yukun Chen, Mandana Salimi, Joshua C. Denny, Qiaozhu Mei, Thomas A. Lasko, Qingxia Chen, Stephen Wu, Amy Franklin, Trevor Cohen, Hua Xu:
Cost-aware active learning for named entity recognition in clinical text. J. Am. Medical Informatics Assoc. 26(11): 1314-1322 (2019) - [j23]David A. Hanauer, Qiaozhu Mei, V. G. Vinod Vydiswaran, Karandeep Singh, Zach Landis-Lewis, Chunhua Weng:
Complexities, variations, and errors of numbering within clinical notes: the potential impact on information extraction and cohort-identification. BMC Medical Informatics Decis. Mak. 19-S(3): 59-69 (2019) - [j22]Xuedong Li, Yue Wang, Dongwu Wang, Walter Yuan, Dezhong Peng, Qiaozhu Mei:
Improving rare disease classification using imperfect knowledge graph. BMC Medical Informatics Decis. Mak. 19-S(5): 9 (2019) - [c100]Cristina Garbacea, Samuel Carton, Shiyan Yan, Qiaozhu Mei:
Judge the Judges: A Large-Scale Evaluation Study of Neural Language Models for Online Review Generation. EMNLP/IJCNLP (1) 2019: 3966-3979 - [c99]Xuedong Li, Yue Wang, Dongwu Wang, Walter Yuan, Dezhong Peng, Qiaozhu Mei:
Improving Rare Disease Classification Using Imperfect Knowledge Graph. ICHI 2019: 1-2 - [c98]Kai Zheng, Yunan Chen, Julia Adler-Milstein, Andrew L. Rosenberg, Danny T. Y. Wu, Qiaozhu Mei, David A. Hanauer:
How Do Healthcare Professionals Personalize Their Software? A Pilot Exploration Based on an Electronic Health Records Search Engine. MedInfo 2019: 1408-1412 - [c97]Jiatong Li, Kai Zheng, Hua Xu, Qiaozhu Mei, Yue Wang:
The Strength of the Weakest Supervision: Topic Classification Using Class Labels. NAACL-HLT (Student Research Workshop) 2019: 22-28 - [c96]Jiaqi Ma, Weijing Tang, Ji Zhu, Qiaozhu Mei:
A Flexible Generative Framework for Graph-based Semi-supervised Learning. NeurIPS 2019: 3276-3285 - [c95]Zhenpeng Chen, Yanbin Cao, Xuan Lu, Qiaozhu Mei, Xuanzhe Liu:
SEntiMoji: an emoji-powered learning approach for sentiment analysis in software engineering. ESEC/SIGSOFT FSE 2019: 841-852 - [c94]Zhenpeng Chen, Sheng Shen, Ziniu Hu, Xuan Lu, Qiaozhu Mei, Xuanzhe Liu:
Emoji-Powered Representation Learning for Cross-Lingual Sentiment Classification. WWW 2019: 251-262 - [c93]Qiaozhu Mei:
Decoding the New World Language: Analyzing the Popularity, Roles, and Utility of Emojis. WWW (Companion Volume) 2019: 417-418 - [i25]Cristina Garbacea, Samuel Carton, Shiyan Yan, Qiaozhu Mei:
Judge the Judges: A Large-Scale Evaluation Study of Neural Language Models for Online Review Generation. CoRR abs/1901.00398 (2019) - [i24]Jiaqi Ma, Weijing Tang, Ji Zhu, Qiaozhu Mei:
A Flexible Generative Framework for Graph-based Semi-supervised Learning. CoRR abs/1905.10769 (2019) - [i23]Zhenpeng Chen, Yanbin Cao, Xuan Lu, Qiaozhu Mei, Xuanzhe Liu:
SEntiMoji: An Emoji-Powered Learning Approach for Sentiment Analysis in Software Engineering. CoRR abs/1907.02202 (2019) - [i22]Jiaqi Ma, Qiaozhu Mei:
Graph Representation Learning via Multi-task Knowledge Distillation. CoRR abs/1911.05700 (2019) - 2018
- [j21]Mengwei Xu, Feng Qian, Qiaozhu Mei, Kang Huang, Xuanzhe Liu:
DeepType: On-Device Deep Learning for Input Personalization Service with Minimal Privacy Concern. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. 2(4): 197:1-197:26 (2018) - [j20]Yue Wang, Kai Zheng, Hua Xu, Qiaozhu Mei:
Interactive medical word sense disambiguation through informed learning. J. Am. Medical Informatics Assoc. 25(7): 800-808 (2018) - [j19]Xuanzhe Liu, Huoran Li, Xuan Lu, Tao Xie, Qiaozhu Mei, Feng Feng, Hong Mei:
Understanding Diverse Usage Patterns from Large-Scale Appstore-Service Profiles. IEEE Trans. Software Eng. 44(4): 384-411 (2018) - [j18]Yue Wang, Dawei Yin, Luo Jie, Pengyuan Wang, Makoto Yamada, Yi Chang, Qiaozhu Mei:
Optimizing Whole-Page Presentation for Web Search. ACM Trans. Web 12(3): 19:1-19:25 (2018) - [c92]Huoran Li, Xuanzhe Liu, Hong Mei, Qiaozhu Mei:
Mining Device-Specific Apps Usage Patterns from Appstore Big Data. Big Data (CCF) 2018: 55-76 - [c91]Shan Jiang, Chengxiang Zhai, Qiaozhu Mei:
Exploiting Knowledge Graph to Improve Text-based Prediction. IEEE BigData 2018: 1407-1416 - [c90]Samuel Carton, Qiaozhu Mei, Paul Resnick:
Extractive Adversarial Networks: High-Recall Explanations for Identifying Personal Attacks in Social Media Posts. EMNLP 2018: 3497-3507 - [c89]David A. Hanauer, Qiaozhu Mei, V. G. Vinod Vydiswaran, Karandeep Singh, Zach Landis-Lewis, Chunhua Weng:
Numerical Age Variations within Clinical Notes: The Potential Impact on De-Identification and Information Extraction. ICHI Workshops 2018: 66-67 - [c88]Cheng Li, Xiaoxiao Guo, Qiaozhu Mei:
Joint Modeling of Text and Networks for Cascade Prediction. ICWSM 2018: 640-643 - [c87]Zhuofeng Wu, Cheng Li, Zhe Zhao, Fei Wu, Qiaozhu Mei:
Identify Shifts of Word Semantics through Bayesian Surprise. SIGIR 2018: 825-834 - [c86]Zhenpeng Chen, Xuan Lu, Wei Ai, Huoran Li, Qiaozhu Mei, Xuanzhe Liu:
Through a Gender Lens: Learning Usage Patterns of Emojis from Large-Scale Android Users. WWW 2018: 763-772 - [c85]Yunhao Jiao, Cheng Li, Fei Wu, Qiaozhu Mei:
Find the Conversation Killers: A Predictive Study of Thread-ending Posts. WWW 2018: 1145-1154 - [e1]Kevyn Collins-Thompson, Qiaozhu Mei, Brian D. Davison, Yiqun Liu, Emine Yilmaz:
The 41st International ACM SIGIR Conference on Research & Development in Information Retrieval, SIGIR 2018, Ann Arbor, MI, USA, July 08-12, 2018. ACM 2018 [contents] - [i21]Huoran Li, Xuanzhe Liu, Qiaozhu Mei:
Predicting Smartphone Battery Life based on Comprehensive and Real-time Usage Data. CoRR abs/1801.04069 (2018) - [i20]Zhenpeng Chen, Sheng Shen, Ziniu Hu, Xuan Lu, Qiaozhu Mei, Xuanzhe Liu:
Ermes: Emoji-Powered Representation Learning for Cross-Lingual Sentiment Classification. CoRR abs/1806.02557 (2018) - [i19]Samuel Carton, Qiaozhu Mei, Paul Resnick:
Extractive Adversarial Networks: High-Recall Explanations for Identifying Personal Attacks in Social Media Posts. CoRR abs/1809.01499 (2018) - 2017
- [j17]Roy Chen, Yan Chen, Yang Liu, Qiaozhu Mei:
Does team competition increase pro-social lending? Evidence from online microfinance. Games Econ. Behav. 101: 311-333 (2017) - [j16]Xuan Lu, Zhenpeng Chen, Xuanzhe Liu, Huoran Li, Tao Xie, Qiaozhu Mei:
PRADO: Predicting App Adoption by Learning the Correlation between Developer-Controllable Properties and User Behaviors. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. 1(3): 79:1-79:30 (2017) - [j15]David A. Hanauer, Danny T. Y. Wu, Lei Yang, Qiaozhu Mei, Katherine B. Murkowski-Steffy, V. G. Vinod Vydiswaran, Kai Zheng:
Development and empirical user-centered evaluation of semantically-based query recommendation for an electronic health record search engine. J. Biomed. Informatics 67: 1-10 (2017) - [j14]Yukun Chen, Thomas A. Lasko, Qiaozhu Mei, Qingxia Chen, Sungrim Moon, Jingqi Wang, Ky Nguyen, Tolulola Dawodu, Trevor Cohen, Joshua C. Denny, Hua Xu:
An active learning-enabled annotation system for clinical named entity recognition. BMC Medical Informatics Decis. Mak. 17(2): 35-44 (2017) - [j13]Xuanzhe Liu, Wei Ai, Huoran Li, Jian Tang, Gang Huang, Feng Feng, Qiaozhu Mei:
Deriving User Preferences of Mobile Apps from Their Management Activities. ACM Trans. Inf. Syst. 35(4): 39:1-39:32 (2017) - [c84]Xinning Gui, Yue Wang, Yubo Kou, Tera L. Reynolds, Yunan Chen, Qiaozhu Mei, Kai Zheng:
Understanding the Patterns of Health Information Dissemination on Social Media during the Zika Outbreak. AMIA 2017 - [c83]Yue Wang, Kai Zheng, Hua Xu, Qiaozhu Mei:
Interactive Medical Word Sense Disambiguation with Instance and Feature Labeling. AMIA 2017 - [c82]Yue Wang, Jian Tang, V. G. Vinod Vydiswaran, Kai Zheng, Hua Xu, Qiaozhu Mei:
Matching Consumer Health Vocabulary with Professional Medical Terms Through Concept Embedding. AMIA 2017 - [c81]Alexander Kinsora, Kate Barron, Qiaozhu Mei, V. G. Vinod Vydiswaran:
Creating a Labeled Dataset for Medical Misinformation in Health Forums. ICHI 2017: 456-461 - [c80]Wei Ai, Xuan Lu, Xuanzhe Liu, Ning Wang, Gang Huang, Qiaozhu Mei:
Untangling Emoji Popularity Through Semantic Embeddings. ICWSM 2017: 2-11 - [c79]Jian Tang, Yue Wang, Kai Zheng, Qiaozhu Mei:
End-to-end Learning for Short Text Expansion. KDD 2017: 1105-1113 - [c78]Cheng Li, Xiaoxiao Guo, Qiaozhu Mei:
Deep Memory Networks for Attitude Identification. WSDM 2017: 671-680 - [c77]Cheng Li, Jiaqi Ma, Xiaoxiao Guo, Qiaozhu Mei:
DeepCas: An End-to-end Predictor of Information Cascades. WWW 2017: 577-586 - [i18]Cheng Li, Xiaoxiao Guo, Qiaozhu Mei:
Deep Memory Networks for Attitude Identification. CoRR abs/1701.04189 (2017) - [i17]Xuanzhe Liu, Huoran Li, Xuan Lu, Tao Xie, Qiaozhu Mei, Hong Mei, Feng Feng:
Understanding Diverse Smarpthone Usage Patterns from Large-Scale Appstore-Service Profiles. CoRR abs/1702.05060 (2017) - [i16]Zhenpeng Chen, Xuan Lu, Sheng Shen, Wei Ai, Xuanzhe Liu, Qiaozhu Mei:
Through a Gender Lens: An Empirical Study of Emoji Usage over Large-Scale Android Users. CoRR abs/1705.05546 (2017) - [i15]Ziniu Hu, Yun Ma, Qiaozhu Mei, Jian Tang:
Roaming across the Castle Tunnels: an Empirical Study of Inter-App Navigation Behaviors of Android Users. CoRR abs/1706.08274 (2017) - [i14]Jian Tang, Yue Wang, Kai Zheng, Qiaozhu Mei:
End-to-end Learning for Short Text Expansion. CoRR abs/1709.00389 (2017) - [i13]Yunhao Jiao, Cheng Li, Fei Wu, Qiaozhu Mei:
Find the Conversation Killers: a Predictive Study of Thread-ending Posts. CoRR abs/1712.08636 (2017) - 2016
- [j12]Danny T. Y. Wu, David A. Hanauer, Qiaozhu Mei, Patricia M. Clark, Lawrence C. An, Joshua Proulx, Qing T. Zeng, V. G. Vinod Vydiswaran, Kevyn Collins-Thompson, Kai Zheng:
Assessing the readability of ClinicalTrials.gov. J. Am. Medical Informatics Assoc. 23(2): 269-275 (2016) - [j11]Huaiyu Wan, Marie-Francine Moens, Walter Luyten, Xuezhong Zhou, Qiaozhu Mei, Lu Liu, Jie Tang:
Extracting relations from traditional Chinese medicine literature via heterogeneous entity networks. J. Am. Medical Informatics Assoc. 23(2): 356-365 (2016) - [c76]Yue Wang, Kai Zheng, Hua Xu, Qiaozhu Mei:
Clinical Word Sense Disambiguation with Interactive Search and Classification. AMIA 2016 - [c75]Cheng Li, Paul Resnick, Qiaozhu Mei:
Multiple Queries as Bandit Arms. CIKM 2016: 1089-1098 - [c74]Xuan Lu, Wei Ai, Xuanzhe Liu, Qian Li, Ning Wang, Gang Huang, Qiaozhu Mei:
Learning from the ubiquitous language: an empirical analysis of emoji usage of smartphone users. UbiComp 2016: 770-780 - [c73]Xuan Lu, Xuanzhe Liu, Huoran Li, Tao Xie, Qiaozhu Mei, Dan Hao, Gang Huang, Feng Feng:
PRADA: prioritizing android devices for apps by mining large-scale usage data. ICSE 2016: 3-13 - [c72]Xuan Lu, Xuanzhe Liu, Huoran Li, Tao Xie, Qiaozhu Mei, Dan Hao, Gang Huang, Feng Feng:
Mining usage data from large-scale Android users: challenges and opportunities. MOBILESoft 2016: 301-302 - [c71]Yue Wang, Dawei Yin, Luo Jie, Pengyuan Wang, Makoto Yamada, Yi Chang, Qiaozhu Mei:
Beyond Ranking: Optimizing Whole-Page Presentation. WSDM 2016: 103-112 - [c70]Xin Rong, Zhe Chen, Qiaozhu Mei, Eytan Adar:
EgoSet: Exploiting Word Ego-networks and User-generated Ontology for Multifaceted Set Expansion. WSDM 2016: 645-654 - [c69]Jian Tang, Jingzhou Liu, Ming Zhang, Qiaozhu Mei:
Visualizing Large-scale and High-dimensional Data. WWW 2016: 287-297 - [c68]Huoran Li, Wei Ai, Xuanzhe Liu, Jian Tang, Gang Huang, Feng Feng, Qiaozhu Mei:
Voting with Their Feet: Inferring User Preferences from App Management Activities. WWW 2016: 1351-1362 - [i12]V. S. Subrahmanian, Amos Azaria, Skylar Durst, Vadim Kagan, Aram Galstyan, Kristina Lerman, Linhong Zhu, Emilio Ferrara, Alessandro Flammini, Filippo Menczer, Rand Waltzman, Andrew Stevens, Alexander Dekhtyar, Shuyang Gao, Tad Hogg, Farshad Kooti, Yan Liu, Onur Varol, Prashant Shiralkar, V. G. Vinod Vydiswaran, Qiaozhu Mei, Tim Huang:
The DARPA Twitter Bot Challenge. CoRR abs/1601.05140 (2016) - [i11]Jian Tang, Jingzhou Liu, Ming Zhang, Qiaozhu Mei:
Visualization Large-scale and High-dimensional Data. CoRR abs/1602.00370 (2016) - [i10]Cheng Li, Xiaoxiao Guo, Qiaozhu Mei:
DeepGraph: Graph Structure Predicts Network Growth. CoRR abs/1610.06251 (2016) - [i9]Cheng Li, Jiaqi Ma, Xiaoxiao Guo, Qiaozhu Mei:
DeepCas: an End-to-end Predictor of Information Cascades. CoRR abs/1611.05373 (2016) - [i8]Jian Tang, Meng Qu, Qiaozhu Mei:
Identity-sensitive Word Embedding through Heterogeneous Networks. CoRR abs/1611.09878 (2016) - [i7]Jian Tang, Yifan Yang, Samuel Carton, Ming Zhang, Qiaozhu Mei:
Context-aware Natural Language Generation with Recurrent Neural Networks. CoRR abs/1611.09900 (2016) - [i6]Jian Tang, Ming Zhang, Qiaozhu Mei:
Less is More: Learning Prominent and Diverse Topics for Data Summarization. CoRR abs/1611.09921 (2016) - 2015
- [j10]David A. Hanauer, Qiaozhu Mei, James Law, Ritu Khanna, Kai Zheng:
Supporting information retrieval from electronic health records: A report of University of Michigan's nine-year experience in developing and using the Electronic Medical Record Search Engine (EMERSE). J. Biomed. Informatics 55: 290-300 (2015) - [j9]Yukun Chen, Thomas A. Lasko, Qiaozhu Mei, Joshua C. Denny, Hua Xu:
A study of active learning methods for named entity recognition in clinical text. J. Biomed. Informatics 58: 11-18 (2015) - [c67]Yukun Chen, Sungrim Moon, Thomas A. Lasko, Qiaozhu Mei, Jingqi Wang, Trevor Cohen, Qingxia Chen, Joshua C. Denny, Hua Xu:
Real Time Active Learning Study for Clinical Named Entity Recognition. AMIA 2015 - [c66]Yang Liu, Tricia O'Brien, Esha Sondhi, Qiaozhu Mei, David A. Hanauer, Kai Zheng:
Caveats of Using Social Media Data for Medical Research: A Report from a Study on Eye-Related Symptoms in Tweets. AMIA 2015 - [c65]Tera L. Reynolds, V. G. Vinod Vydiswaran, Yuting Wu, Qiaozhu Mei, David A. Hanauer, Kai Zheng:
Identifying Patterns Indicative of Copying/Pasting Behavior in Patient Generated Online Content. AMIA 2015 - [c64]Yun Ma, Xuanzhe Liu, Meihua Yu, Yunxin Liu, Qiaozhu Mei, Feng Feng:
Mash Droid: An Approach to Mobile-Oriented Dynamic Services Discovery and Composition by In-App Search. ICWS 2015: 725-730 - [c63]Samuel Carton, Souneil Park, Nicole Zeffer, Eytan Adar, Qiaozhu Mei, Paul Resnick:
Audience Analysis for Competing Memes in Social Media. ICWSM 2015: 41-50 - [c62]Huoran Li, Xuan Lu, Xuanzhe Liu, Tao Xie, Kaigui Bian, Felix Xiaozhu Lin, Qiaozhu Mei, Feng Feng:
Characterizing Smartphone Usage Patterns from Millions of Android Users. Internet Measurement Conference 2015: 459-472 - [c61]Jian Tang, Meng Qu, Qiaozhu Mei:
PTE: Predictive Text Embedding through Large-scale Heterogeneous Text Networks. KDD 2015: 1165-1174 - [c60]Cheng Li, Yue Lu, Qiaozhu Mei, Dong Wang, Sandeep Pandey:
Click-through Prediction for Advertising in Twitter Timeline. KDD 2015: 1959-1968 - [c59]Fengmin Hu, Danny T. Y. Wu, Qiaozhu Mei, V. G. Vinod Vydiswaran:
Learning from Medical Summaries: The University of Michigan at TREC 2015 Clinical Decision Support Track. TREC 2015 - [c58]Huoran Li, Xuanzhe Liu, Wei Ai, Qiaozhu Mei, Feng Feng:
A Descriptive Analysis of a Large-Scale Collection of App Management Activities. WWW (Companion Volume) 2015: 61-62 - [c57]Jian Tang, Meng Qu, Mingzhe Wang, Ming Zhang, Jun Yan, Qiaozhu Mei:
LINE: Large-scale Information Network Embedding. WWW 2015: 1067-1077 - [c56]Zhe Zhao, Paul Resnick, Qiaozhu Mei:
Enquiring Minds: Early Detection of Rumors in Social Media from Enquiry Posts. WWW 2015: 1395-1405 - [i5]Jian Tang, Meng Qu, Mingzhe Wang, Ming Zhang, Jun Yan, Qiaozhu Mei:
LINE: Large-scale Information Network Embedding. CoRR abs/1503.03578 (2015) - [i4]Jian Tang, Meng Qu, Qiaozhu Mei:
PTE: Predictive Text Embedding through Large-scale Heterogeneous Text Networks. CoRR abs/1508.00200 (2015) - [i3]Yang Yang, Jie Tang, Yuxiao Dong, Qiaozhu Mei, Reid A. Johnson, Nitesh V. Chawla:
Modeling the Interplay Between Individual Behavior and Network Distributions. CoRR abs/1511.02562 (2015) - 2014
- [j8]David A. Hanauer, Mohammed Saeed, Kai Zheng, Qiaozhu Mei, Kerby Shedden, Alan R. Aronson, Naren Ramakrishnan:
Applying MetaMap to Medline for identifying novel associations in a large clinical dataset: a feasibility analysis. J. Am. Medical Informatics Assoc. 21(5): 925-937 (2014) - [c55]Yukun Chen, Yaoyun Zhang, Qiaozhu Mei, Dead Account, Joshua C. Denny, Hua Xu:
A Preliminary Study of Coupling Transfer Learning with Active Learning for Clinical Named Entity Recognition between Two Institutions. AMIA 2014 - [c54]V. G. Vinod Vydiswaran, Qiaozhu Mei, David A. Hanauer, Kai Zheng:
Mining Consumer Health Vocabulary from Community-Generated Text. AMIA 2014 - [c53]Jian Tang, Zhaoshi Meng, XuanLong Nguyen, Qiaozhu Mei, Ming Zhang:
Understanding the Limiting Factors of Topic Modeling via Posterior Contraction Analysis. ICML 2014: 190-198 - [c52]V. G. Vinod Vydiswaran, Yang Liu, Kai Zheng, David A. Hanauer, Qiaozhu Mei:
User-Created Groups in Health Forums: What Makes Them Special? ICWSM 2014 - [c51]Cheng Li, Yue Wang, Paul Resnick, Qiaozhu Mei:
ReQ-ReC: high recall retrieval with query pooling and interactive classification. SIGIR 2014: 163-172 - [c50]Shoubin Kong, Qiaozhu Mei, Ling Feng, Fei Ye, Zhe Zhao:
Predicting bursts and popularity of hashtags in real-time. SIGIR 2014: 927-930 - [c49]Shoubin Kong, Qiaozhu Mei, Ling Feng, Zhe Zhao:
Real-Time Predicting Bursting Hashtags on Twitter. WAIM 2014: 268-271 - [c48]Tianyi Lin, Wentao Tian, Qiaozhu Mei, Hong Cheng:
The dual-sparse topic model: mining focused topics and focused terms in short text. WWW 2014: 539-550 - [i2]Shoubin Kong, Qiaozhu Mei, Ling Feng, Zhe Zhao, Fei Ye:
On the Real-time Prediction Problems of Bursting Hashtags in Twitter. CoRR abs/1401.2018 (2014) - [i1]Jian Tang, Ming Zhang, Qiaozhu Mei:
"Look Ma, No Hands!" A Parameter-Free Topic Model. CoRR abs/1409.2993 (2014) - 2013
- [j7]Yukun Chen, Hongxin Cao, Qiaozhu Mei, Kai Zheng, Hua Xu:
Applying active learning to supervised word sense disambiguation in MEDLINE. J. Am. Medical Informatics Assoc. 20(5): 1001-1006 (2013) - [c47]Yukun Chen, Thomas A. Lasko, Qiaozhu Mei, Joshua C. Denny, Hua Xu:
A Study of Active Learning Methods for Clinical Entities Recognition. AMIA 2013 - [c46]David A. Hanauer, Qiaozhu Mei, Bradley A. Malin, Kai Zheng:
Location Bias of Identifiers in Clinical Narratives. AMIA 2013 - [c45]Xin Rong, Qiaozhu Mei:
Diffusion of innovations revisited: from social network to innovation network. CIKM 2013: 499-508 - [c44]Tao Sun, Ming Zhang, Qiaozhu Mei:
Unexpected Relevance: An Empirical Study of Serendipity in Retweets. ICWSM 2013 - [c43]Jian Tang, Ming Zhang, Qiaozhu Mei:
One theme in all views: modeling consensus topics in multiple contexts. KDD 2013: 5-13 - [c42]Danny T. Y. Wu, David A. Hanauer, Qiaozhu Mei, Patricia M. Clark, Lawrence C. An, Jianbo Lei, Joshua Proulx, Qing Zeng-Treitler, Kai Zheng:
Applying Multiple Methods to Assess the Readability of a Large Corpus of Medical Documents. MedInfo 2013: 647-651 - [c41]Cheng Li, Yue Wang, Qiaozhu Mei:
A User-in-the-Loop Process for Investigational Search: Foreseer in TREC 2013 Microblog Track. TREC 2013 - [c40]Yi Chang, Xuanhui Wang, Qiaozhu Mei, Yan Liu:
Towards Twitter context summarization with user influence models. WSDM 2013: 527-536 - [c39]Zhe Zhao, Qiaozhu Mei:
Questions about questions: an empirical analysis of information needs on Twitter. WWW 2013: 1545-1556 - 2012
- [c38]David A. Hanauer, Yang Liu, Qiaozhu Mei, Frank J. Manion, Ulysses J. Balis, Kai Zheng:
Hedging their Mets: The Use of Uncertainty Terms in Clinical Documents and its Potential Implications when Sharing the Documents with Patients. AMIA 2012 - [c37]Jingrui He, Hanghang Tong, Qiaozhu Mei, Boleslaw K. Szymanski:
GenDeR: A Generic Diversified Ranking Algorithm. NIPS 2012: 1151-1159 - [c36]Yang Liu, Roy Chen, Yan Chen, Qiaozhu Mei, Suzy Salib:
"I loan because...": understanding motivations for pro-social lending. WSDM 2012: 503-512 - [c35]Lei Yang, Tao Sun, Ming Zhang, Qiaozhu Mei:
We know what @you #tag: does the dual role affect hashtag adoption? WWW 2012: 261-270 - 2011
- [j6]Yue Lu, Qiaozhu Mei, ChengXiang Zhai:
Investigating task performance of probabilistic topic models: an empirical study of PLSA and LDA. Inf. Retr. 14(2): 178-203 (2011) - [j5]Kai Zheng, Qiaozhu Mei, David A. Hanauer:
Collaborative search in electronic health records. J. Am. Medical Informatics Assoc. 18(3): 282-291 (2011) - [j4]Moushumi Sen Sarma, David Arcoleo, Radhika S. Khetani, Brant W. Chee, Xu Ling, Xin He, Jing Jiang, Qiaozhu Mei, ChengXiang Zhai, Bruce R. Schatz:
BeeSpace Navigator: exploratory analysis of gene function using semantic indexing of biological literature. Nucleic Acids Res. 39(Web-Server-Issue): 462-469 (2011) - [c34]Vahed Qazvinian, Emily Rosengren, Dragomir R. Radev, Qiaozhu Mei:
Rumor has it: Identifying Misinformation in Microblogs. EMNLP 2011: 1589-1599 - [c33]Cindy Xide Lin, Qiaozhu Mei, Jiawei Han, Yunliang Jiang, Marina Danilevsky:
The Joint Inference of Topic Diffusion and Evolution in Social Communities. ICDM 2011: 378-387 - [c32]Daniel Xiaodan Zhou, Paul Resnick, Qiaozhu Mei:
Classifying the Political Leaning of News Articles and Users from User Votes. ICWSM 2011 - [c31]Pradeep Muthukrishnan, Dragomir R. Radev, Qiaozhu Mei:
Simultaneous Similarity Learning and Feature-Weight Learning for Document Clustering. Graph-based Methods for Natural Language Processing 2011: 42-50 - 2010
- [c30]Duo Zhang, Qiaozhu Mei, ChengXiang Zhai:
Cross-Lingual Latent Topic Extraction. ACL 2010: 1128-1137 - [c29]Yunliang Jiang, Cindy Xide Lin, Qiaozhu Mei:
Context Comparison of Bursty Events in Web Search and Online Media. EMNLP 2010: 1077-1087 - [c28]Pradeep Muthukrishnan, Dragomir R. Radev, Qiaozhu Mei:
Edge Weight Regularization over Multiple Graphs for Similarity Learning. ICDM 2010: 374-383 - [c27]Cindy Xide Lin, Bo Zhao, Qiaozhu Mei, Jiawei Han:
PET: a statistical model for popular events tracking in social communities. KDD 2010: 929-938 - [c26]Qiaozhu Mei, Jian Guo, Dragomir R. Radev:
DivRank: the interplay of prestige and diversity in information networks. KDD 2010: 1009-1018
2000 – 2009
- 2009
- [b1]Qiaozhu Mei:
Contextual text mining. University of Illinois Urbana-Champaign, USA, 2009 - [j3]Tianyi Wu, Dong Xin, Qiaozhu Mei, Jiawei Han:
Promotion Analysis in Multi-Dimensional Space. Proc. VLDB Endow. 2(1): 109-120 (2009) - [c25]Qiaozhu Mei, Kristina Lisa Klinkner, Ravi Kumar, Andrew Tomkins:
An analysis framework for search sequences. CIKM 2009: 1991-1994 - [c24]Zhijun Yin, Rui Li, Qiaozhu Mei, Jiawei Han:
Exploring social tagging graph for web object classification. KDD 2009: 957-966 - [c23]Ziyu Guan, Jiajun Bu, Qiaozhu Mei, Chun Chen, Can Wang:
Personalized tag recommendation using graph-based ranking on multi-type interrelated objects. SIGIR 2009: 540-547 - 2008
- [c22]Qiaozhu Mei, ChengXiang Zhai:
Generating Impact-Based Summaries for Scientific Literature. ACL 2008: 816-824 - [c21]Qiaozhu Mei, Yi Zhang:
Automatic Web Tagging and Person Tagging Using Language Models. ADMA 2008: 741-748 - [c20]Qiaozhu Mei, Dengyong Zhou, Kenneth Ward Church:
Query suggestion using hitting time. CIKM 2008: 469-478 - [c19]Deng Cai, Qiaozhu Mei, Jiawei Han, Chengxiang Zhai:
Modeling hidden topics on document manifold. CIKM 2008: 911-920 - [c18]Xu Ling, Qiaozhu Mei, ChengXiang Zhai, Bruce R. Schatz:
Mining multi-faceted overviews of arbitrary topics in a text collection. KDD 2008: 497-505 - [c17]Qiaozhu Mei, Duo Zhang, ChengXiang Zhai:
A general optimization framework for smoothing language models on graph structures. SIGIR 2008: 611-618 - [c16]Qiaozhu Mei, Kenneth Ward Church:
Entropy of search logs: how hard is search? with personalization? with backoff? WSDM 2008: 45-54 - [c15]Qiaozhu Mei, Deng Cai, Duo Zhang, ChengXiang Zhai:
Topic modeling with network regularization. WWW 2008: 101-110 - 2007
- [j2]Xu Ling, Jing Jiang, Xin He, Qiaozhu Mei, Chengxiang Zhai, Bruce R. Schatz:
Generating gene summaries from biomedical literature: A study of semi-structured summarization. Inf. Process. Manag. 43(6): 1777-1791 (2007) - [j1]Qiaozhu Mei, Dong Xin, Hong Cheng, Jiawei Han, Chengxiang Zhai:
Semantic annotation of frequent patterns. ACM Trans. Knowl. Discov. Data 1(3): 11 (2007) - [c14]Qiaozhu Mei, Xuehua Shen, ChengXiang Zhai:
Automatic labeling of multinomial topic models. KDD 2007: 490-499 - [c13]Qiaozhu Mei, Hui Fang, ChengXiang Zhai:
A study of Poisson query generation model for information retrieval. SIGIR 2007: 319-326 - [c12]Qiaozhu Mei, Xu Ling, Matthew Wondra, Hang Su, ChengXiang Zhai:
Topic sentiment mixture: modeling facets and opinions in weblogs. WWW 2007: 171-180 - 2006
- [c11]Qiaozhu Mei, Dong Xin, Hong Cheng, Jiawei Han, ChengXiang Zhai:
Generating semantic annotations for frequent patterns with context analysis. KDD 2006: 337-346 - [c10]Qiaozhu Mei, ChengXiang Zhai:
A mixture model for contextual text mining. KDD 2006: 649-655 - [c9]Dong Xin, Xuehua Shen, Qiaozhu Mei, Jiawei Han:
Discovering interesting patterns through user's interactive feedback. KDD 2006: 773-778 - [c8]Tao Tao, Xuanhui Wang, Qiaozhu Mei, ChengXiang Zhai:
Language Model Information Retrieval with Document Expansion. HLT-NAACL 2006 - [c7]Xu Ling, Jing Jiang, Xin He, Qiaozhu Mei, ChengXiang Zhai, Bruce R. Schatz:
Automatically Generating Gene Summaries from Biomedical Literature. Pacific Symposium on Biocomputing 2006: 40-51 - [c6]Qiaozhu Mei, Chao Liu, Hang Su, ChengXiang Zhai:
A probabilistic approach to spatiotemporal theme pattern mining on weblogs. WWW 2006: 533-542 - 2005
- [c5]Hang Su, Qiaozhu Mei:
Template extraction from candidate template set generation: a structure and content approach. ACM Southeast Regional Conference (2) 2005: 211-216 - [c4]Tao Tao, Xuanhui Wang, Qiaozhu Mei, ChengXiang Zhai:
Accurate language model estimation with document expansion. CIKM 2005: 273-274 - [c3]Qiaozhu Mei, ChengXiang Zhai:
Discovering evolutionary theme patterns from text: an exploration of temporal text mining. KDD 2005: 198-207 - 2004
- [c2]Qiaozhu Mei:
A knowledge processing oriented life cycle study from a Digital Museum system. ACM Southeast Regional Conference 2004: 116-121 - 2002
- [c1]Qiaozhu Mei, Junrong Shen:
A Knowledge Flow Driven E-Learning Architecture Design: What is its Stratification and How is it Personalized. ICCE 2002: 1307-1308
Coauthor Index
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