• case-insensitive prefix search: default
  e.g., sig matches "SIGIR" as well as "signal"
• exact word search: append dollar sign ($) to word
  e.g., graph$ matches "graph", but not "graphics"
• boolean and: separate words by space
  e.g., codd model
• boolean or: connect words by pipe symbol (|)
  e.g., graph|network

Update May 7, 2017: Please note that we had to disable the phrase search operator (.) and the boolean not operator (-) due to technical problems. For the time being, phrase search queries will yield regular prefix search result, and search terms preceded by a minus will be interpreted as regular (positive) search terms.

found 691 matches

• 2024
• 
  William S. Welling, Yanyan Sheng, Michelle M. Zhu:
  CUDA-aware MPI implementation of Gibbs sampling for an IRT model. Clust. Comput. 27(2): 1821-1830 (2024)
• 
  Boyoung Kim, Ruchen Wen, Ewart J. de Visser, Chad C. Tossell, Qin Zhu, Tom Williams, Elizabeth Phillips:
  Can robot advisers encourage honesty?: Considering the impact of rule, identity, and role-based moral advice. Int. J. Hum. Comput. Stud. 184: 103217 (2024)
• 
  Bokui Shen, Zhenyu Jiang, Christopher Bongsoo Choy, Silvio Savarese, Leonidas J. Guibas, Anima Anandkumar, Yuke Zhu:
  Action-conditional implicit visual dynamics for deformable object manipulation. Int. J. Robotics Res. 43(4): 437-455 (2024)
• 
  Cynthia Hau, Patricia A. Woods, Amanda S. Guski, Srihari I. Raju, Liang Zhu, Patrick R. Alba, William C. Cushman, Peter A. Glassman, Areef Ishani, Addison A. Taylor, Ryan E. Ferguson, Sarah Leatherman:
  Strategies for secondary use of real-world clinical and administrative data for outcome ascertainment in pragmatic clinical trials. J. Biomed. Informatics 150: 104587 (2024)
• 
  Min Li, William Zhu, Shiping Wang:
  Multi-view reinforcement learning for sequential decision-making with insufficient state information. Int. J. Mach. Learn. Cybern. 15(4): 1533-1552 (2024)
• 
  Zhenxing Guo, Daoyu Duan, Wen Tang, Julia Zhu, William S. Bush, Liangliang Zhang, Xiaofeng Zhu, Fulai Jin, Hao Feng:
  magpie: A power evaluation method for differential RNA methylation analysis in N6-methyladenosine sequencing. PLoS Comput. Biol. 20(2) (2024)
• 
  Shiping Wang, Jinbin Yang, Jie Yao, Yang Bai, William Zhu:
  An Overview of Advanced Deep Graph Node Clustering. IEEE Trans. Comput. Soc. Syst. 11(1): 1302-1314 (2024)
• 
  Feng Guo, Zhuxuan Ma, Fei Diao, Yue Zhao, Patrick Wheeler:
  Hybrid Virtual Coordinate-Driven CBPWM Strategy of Three-Level T-Type NPC Converters for Electric Aircraft Propulsion Applications. IEEE Trans. Ind. Electron. 71(3): 2309-2319 (2024)
• 
  Ziyang Li, Jiani Huang, Jason Liu, Felix Zhu, Eric Zhao, William Dodds, Neelay Velingker, Rajeev Alur, Mayur Naik:
  Relational Programming with Foundational Models. AAAI 2024: 10635-10644
• 
  Raphael Schumann, Wanrong Zhu, Weixi Feng, Tsu-Jui Fu, Stefan Riezler, William Yang Wang:
  VELMA: Verbalization Embodiment of LLM Agents for Vision and Language Navigation in Street View. AAAI 2024: 18924-18933
• 
  Yang Ni, William Youngwoo Chung, Samuel Cho, Zhuowen Zou, Mohsen Imani:
  Efficient Exploration in Edge-Friendly Hyperdimensional Reinforcement Learning. ACM Great Lakes Symposium on VLSI 2024: 111-118
• 
  Yifei Zhu, Ruchen Wen, Tom Williams:
  Robots for Social Justice (R4SJ): Toward a More Equitable Practice of Human-Robot Interaction. HRI 2024: 850-859
• 
  Yang Ni, Zhuowen Zou, Wenjun Huang, Hanning Chen, William Youngwoo Chung, Samuel Cho, Ranganath Krishnan, Pietro Mercati, Mohsen Imani:
  HEAL: Brain-inspired Hyperdimensional Efficient Active Learning. CoRR abs/2402.11223 (2024)
• 
  Wenda Xu, Guanglei Zhu, Xuandong Zhao, Liangming Pan, Lei Li, William Yang Wang:
  Perils of Self-Feedback: Self-Bias Amplifies in Large Language Models. CoRR abs/2402.11436 (2024)
• 
  Hyewon Jeong, Sarah Jabbour, Yuzhe Yang, Rahul Thapa, Hussein Mozannar, William Jongwon Han, Nikita Mehandru, Michael Wornow, Vladislav Lialin, Xin Liu, Alejandro Lozano, Jiacheng Zhu, Rafal Dariusz Kocielnik, Keith Harrigian, Haoran Zhang, Edward Lee, Milos Vukadinovic, Aparna Balagopalan, Vincent Jeanselme, Katherine Matton, Ilker Demirel, Jason A. Fries, Parisa Rashidi, Brett K. Beaulieu-Jones, Xuhai Orson Xu, Matthew B. A. McDermott, Tristan Naumann, Monica Agrawal, Marinka Zitnik, Berk Ustun, Edward Choi, Kristen Yeom, Gamze Gursoy, Marzyeh Ghassemi, Emma Pierson, George H. Chen, Sanjat Kanjilal, Michael Oberst, Linying Zhang, Harvineet Singh, Tom Hartvigsen, Helen Zhou, Chinasa T. Okolo:
  Recent Advances, Applications, and Open Challenges in Machine Learning for Health: Reflections from Research Roundtables at ML4H 2023 Symposium. CoRR abs/2403.01628 (2024)
• 
  Nathaniel Li, Alexander Pan, Anjali Gopal, Summer Yue, Daniel Berrios, Alice Gatti, Justin D. Li, Ann-Kathrin Dombrowski, Shashwat Goel, Long Phan, Gabriel Mukobi, Nathan Helm-Burger, Rassin Lababidi, Lennart Justen, Andrew B. Liu, Michael Chen, Isabelle Barrass, Oliver Zhang, Xiaoyuan Zhu, Rishub Tamirisa, Bhrugu Bharathi, Adam Khoja, Zhenqi Zhao, Ariel Herbert-Voss, Cort B. Breuer, Andy Zou, Mantas Mazeika, Zifan Wang, Palash Oswal, Weiran Liu, Adam A. Hunt, Justin Tienken-Harder, Kevin Y. Shih, Kemper Talley, John Guan, Russell Kaplan, Ian Steneker, David Campbell, Brad Jokubaitis, Alex Levinson, Jean Wang, William Qian, Kallol Krishna Karmakar, Steven Basart, Stephen Fitz, Mindy Levine, Ponnurangam Kumaraguru, Uday Kiran Tupakula, Vijay Varadharajan, Yan Shoshitaishvili, Jimmy Ba, Kevin M. Esvelt, Alexandr Wang, Dan Hendrycks:
  The WMDP Benchmark: Measuring and Reducing Malicious Use With Unlearning. CoRR abs/2403.03218 (2024)
• 
  Hakim Sidahmed, Samrat Phatale, Alex Hutcheson, Zhuonan Lin, Zhang Chen, Zac Yu, Jarvis Jin, Roman Komarytsia, Christiane Ahlheim, Yonghao Zhu, Simral Chaudhary, Bowen Li, Saravanan Ganesh, Bill Byrne, Jessica Hoffmann, Hassan Mansoor, Wei Li, Abhinav Rastogi, Lucas Dixon:
  PERL: Parameter Efficient Reinforcement Learning from Human Feedback. CoRR abs/2403.10704 (2024)
• 
  Leshem Choshen, Ryan Cotterell, Michael Y. Hu, Tal Linzen, Aaron Mueller, Candace Ross, Alex Warstadt, Ethan Wilcox, Adina Williams, Chengxu Zhuang:
  [Call for Papers] The 2nd BabyLM Challenge: Sample-efficient pretraining on a developmentally plausible corpus. CoRR abs/2404.06214 (2024)
• 
  Dawei Zhu, Sony Trenous, Xiaoyu Shen, Dietrich Klakow, Bill Byrne, Eva Hasler:
  A Preference-driven Paradigm for Enhanced Translation with Large Language Models. CoRR abs/2404.11288 (2024)
• 
  Bertie Vidgen, Adarsh Agrawal, Ahmed M. Ahmed, Victor Akinwande, Namir Al-Nuaimi, Najla Alfaraj, Elie Alhajjar, Lora Aroyo, Trupti Bavalatti, Borhane Blili-Hamelin, Kurt D. Bollacker, Rishi Bomassani, Marisa Ferrara Boston, Siméon Campos, Kal Chakra, Canyu Chen, Cody Coleman, Zacharie Delpierre Coudert, Leon Derczynski, Debojyoti Dutta, Ian Eisenberg, James Ezick, Heather Frase, Brian Fuller, Ram Gandikota, Agasthya Gangavarapu, Ananya Gangavarapu, James Gealy, Rajat Ghosh, James Goel, Usman Gohar, Subhra S. Goswami, Scott A. Hale, Wiebke Hutiri, Joseph Marvin Imperial, Surgan Jandial, Nick Judd, Felix Juefei-Xu, Foutse Khomh, Bhavya Kailkhura, Hannah Rose Kirk, Kevin Klyman, Chris Knotz, Michael Kuchnik, Shachi H. Kumar, Chris Lengerich, Bo Li, Zeyi Liao, Eileen Peters Long, Victor Lu, Yifan Mai, Priyanka Mary Mammen, Kelvin Manyeki, Sean McGregor, Virendra Mehta, Shafee Mohammed, Emanuel Moss, Lama Nachman, Dinesh Jinenhally Naganna, Amin Nikanjam, Besmira Nushi, Luis Oala, Iftach Orr, Alicia Parrish, Cigdem Patlak, William Pietri, Forough Poursabzi-Sangdeh, Eleonora Presani, Fabrizio Puletti, Paul Röttger, Saurav Sahay, Tim Santos, Nino Scherrer, Alice Schoenauer Sebag, Patrick Schramowski, Abolfazl Shahbazi, Vin Sharma, Xudong Shen, Vamsi Sistla, Leonard Tang, Davide Testuggine, Vithursan Thangarasa, Elizabeth Anne Watkins, Rebecca Weiss, Chris Welty, Tyler Wilbers, Adina Williams, Carole-Jean Wu, Poonam Yadav, Xianjun Yang, Yi Zeng, Wenhui Zhang, Fedor Zhdanov, Jiacheng Zhu, Percy Liang, Peter Mattson, Joaquin Vanschoren:
  Introducing v0.5 of the AI Safety Benchmark from MLCommons. CoRR abs/2404.12241 (2024)
• 
  Wanrong Zhu, Jennifer Healey, Ruiyi Zhang, William Yang Wang, Tong Sun:
  Automatic Layout Planning for Visually-Rich Documents with Instruction-Following Models. CoRR abs/2404.15271 (2024)
• 2023
• 
  William Vann, Tianyu Zhou, Qi Zhu, Eric Jing Du:
  Enabling automated facility maintenance from articulated robot Collision-Free designs. Adv. Eng. Informatics 55: 101820 (2023)
• 
  Jie Hao, William Zhu:
  Deep graph clustering with enhanced feature representations for community detection. Appl. Intell. 53(2): 1336-1349 (2023)
• 
  Jianan Li, Ziling Zhu, William J. Boyd, Carlos H. Martinez Luna, Chenyun Dai, Haopeng Wang, He Wang, Xinming Huang, Todd R. Farrell, Edward A. Clancy:
  Virtual regression-based myoelectric hand-wrist prosthesis control and electrode site selection using no force feedback. Biomed. Signal Process. Control. 82: 104602 (2023)
• 
  Chao Cao, Lucas Nogueira, Hongbiao Zhu, John Keller, Graeme Best, Rohit Garg, David Kohanbash, Jay Maier, Shibo Zhao, Fan Yang, Katarina Cujic, Ryan Darnley, Robert DeBortoli, Bill Drozd, Peigen Sun, Ian Higgins, Steven Willits, Greg Armstrong, Ji Zhang, Geoffrey A. Hollinger, Matthew Travers, Sebastian A. Scherer:
  Exploring the Most Sectors at the DARPA Subterranean Challenge Finals. Field Robotics 3(1): 801-836 (2023)
• 
  Abigail C. Dommer, Lorenzo Casalino, Fiona L. Kearns, Mia Rosenfeld, Nicholas Wauer, Surl-Hee Ahn, John Russo, A. Sofia F. Oliveira, Clare Morris, Anthony T. Bogetti, Anda Trifan, Alexander Brace, Terra Sztain, Austin Clyde, Heng Ma, S. Chakra Chennubhotla, Hyungro Lee, Matteo Turilli, Syma Khalid, Teresa Tamayo-Mendoza, Matthew Welborn, Anders S. Christensen, Daniel G. A. Smith, Zhuoran Qiao, Sai K. Sirumalla, Michael O'Connor, Frederick R. Manby, Anima Anandkumar, David J. Hardy, James C. Phillips, Abraham C. Stern, Josh Romero, David Clark, Mitchell Dorrell, Tom Maiden, Lei Huang, John D. McCalpin, Christopher J. Woods, Alan Gray, Matt Williams, Bryan Barker, Harinda Rajapaksha, Richard Pitts, Tom Gibbs, John E. Stone, Daniel M. Zuckerman, Adrian J. Mulholland, Thomas F. Miller III, Shantenu Jha, Arvind Ramanathan, Lillian T. Chong, Rommie E. Amaro:
  #COVIDisAirborne: AI-enabled multiscale computational microscopy of delta SARS-CoV-2 in a respiratory aerosol. Int. J. High Perform. Comput. Appl. 37(1): 28-44 (2023)
• 
  William S. DeWitt, Luke Zhu, Mitchell R. Vollger, Michael E. Goldberg, Andrea Talenti, Annabel C. Beichman, Kelley Harris:
  mutyper: assigning and summarizing mutation types for analyzing germline mutation spectra. J. Open Source Softw. 8(87): 5227 (2023)
• 
  Shiping Wang, Yunhe Zhang, Xincan Lin, Lichao Su, Guobao Xiao, William Zhu, Yiqing Shi:
  Learning matrix factorization with scalable distance metric and regularizer. Neural Networks 161: 254-266 (2023)
• 
  Sahand Khabiri, Matthew M. Crawford, Hudson J. Koch, William C. Haneberg, Yichuan Zhu:
  An Assessment of Negative Samples and Model Structures in Landslide Susceptibility Characterization Based on Bayesian Network Models. Remote. Sens. 15(12): 3200 (2023)
• 
  Zexi Chen, Yunhe Zhang, Sheng Huang, Yanfang Liu, William Zhu, Shiping Wang:
  Multiview Deep Matrix Factorization for Shared Compact Representation. IEEE Trans. Comput. Soc. Syst. 10(5): 2739-2751 (2023)

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