• 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 290 matches

• 2023
• 
  Tianlun Luo, Steven Sheng-Uei Guan, Rui Yang, Jeremy S. Smith:
  From detection to understanding: A survey on representation learning for human-object interaction. Neurocomputing 543: 126243 (2023)
• 
  Chun Liu, Cheng Wang, Steven M. Wise, Xingye Yue, Shenggao Zhou:
  A Second Order Accurate, Positivity Preserving Numerical Method for the Poisson-Nernst-Planck System and Its Convergence Analysis. J. Sci. Comput. 97(1): 23 (2023)
• 
  Curtis G. Northcutt, Shengxin Zha, Steven Lovegrove, Richard A. Newcombe:
  EgoCom: A Multi-Person Multi-Modal Egocentric Communications Dataset. IEEE Trans. Pattern Anal. Mach. Intell. 45(6): 6783-6793 (2023)
• 
  Shengyuan Hu, Steven Wu, Virginia Smith:
  Private Multi-Task Learning: Formulation and Applications to Federated Learning. Trans. Mach. Learn. Res. 2023 (2023)
• 
  Shengan Zheng, Morteza Hoseinzadeh, Steven Swanson, Linpeng Huang:
  TPFS: A High-Performance Tiered File System for Persistent Memories and Disks. ACM Trans. Storage 19(2): 20:1-20:28 (2023)
• 
  Shuaichen Chang, Jun Wang, Mingwen Dong, Lin Pan, Henghui Zhu, Alexander Hanbo Li, Wuwei Lan, Sheng Zhang, Jiarong Jiang, Joseph Lilien, Steve Ash, William Yang Wang, Zhiguo Wang, Vittorio Castelli, Patrick Ng, Bing Xiang:
  Dr.Spider: A Diagnostic Evaluation Benchmark towards Text-to-SQL Robustness. ICLR 2023
• 
  Shuaichen Chang, Jun Wang, Mingwen Dong, Lin Pan, Henghui Zhu, Alexander Hanbo Li, Wuwei Lan, Sheng Zhang, Jiarong Jiang, Joseph Lilien, Steve Ash, William Yang Wang, Zhiguo Wang, Vittorio Castelli, Patrick Ng, Bing Xiang:
  Dr.Spider: A Diagnostic Evaluation Benchmark towards Text-to-SQL Robustness. CoRR abs/2301.08881 (2023)
• 
  Qiao Yuan, Sheng-Uei Guan, Pin Ni, Tianlun Luo, Ka Lok Man, Prudence W. H. Wong, Victor Chang:
  Continual Graph Learning: A Survey. CoRR abs/2301.12230 (2023)
• 
  Shengyuan Hu, Dung Daniel T. Ngo, Shuran Zheng, Virginia Smith, Zhiwei Steven Wu:
  Federated Learning as a Network Effects Game. CoRR abs/2302.08533 (2023)
• 
  Jason Yik, Soikat Hasan Ahmed, Zergham Ahmed, Brian Anderson, Andreas G. Andreou, Chiara Bartolozzi, Arindam Basu, Douwe den Blanken, Petrut Bogdan, Sander M. Bohté, Younes Bouhadjar, Sonia M. Buckley, Gert Cauwenberghs, Federico Corradi, Guido de Croon, Andreea Danielescu, Anurag Reddy Daram, Mike Davies, Yigit Demirag, Jason Eshraghian, Jeremy Forest, Steve B. Furber, Michael Furlong, Aditya Gilra, Giacomo Indiveri, Siddharth Joshi, Vedant Karia, Lyes Khacef, James C. Knight, Laura Kriener, Rajkumar Kubendran, Dhireesha Kudithipudi, Gregor Lenz, Rajit Manohar, Christian Mayr, Konstantinos P. Michmizos, Dylan R. Muir, Emre Neftci, Thomas Nowotny, Fabrizio Ottati, Ayça Özcelikkale, Noah Pacik-Nelson, Priyadarshini Panda, Pao-Sheng Sun, Melika Payvand, Christian Pehle, Mihai A. Petrovici, Christoph Posch, Alpha Renner, Yulia Sandamirskaya, Clemens JS Schaefer, André van Schaik, Johannes Schemmel, Catherine D. Schuman, Jae-sun Seo, Sumit Bam Shrestha, Manolis Sifalakis, Amos Sironi, Kenneth Michael Stewart, Terrence C. Stewart, Philipp Stratmann, Guangzhi Tang, Jonathan Timcheck, Marian Verhelst, Craig M. Vineyard, Bernhard Vogginger, Amirreza Yousefzadeh, Biyan Zhou, Fatima Tuz Zohora, Charlotte Frenkel, Vijay Janapa Reddi:
  NeuroBench: Advancing Neuromorphic Computing through Collaborative, Fair and Representative Benchmarking. CoRR abs/2304.04640 (2023)
• 
  Kunal Talwar, Shan Wang, Audra McMillan, Vojta Jina, Vitaly Feldman, Bailey Basile, Áine Cahill, Yi Sheng Chan, Mike Chatzidakis, Junye Chen, Oliver Chick, Mona Chitnis, Suman Ganta, Yusuf Goren, Filip Granqvist, Kristine Guo, Frederic Jacobs, Omid Javidbakht, Albert Liu, Richard Low, Dan Mascenik, Steve Myers, David Park, Wonhee Park, Gianni Parsa, Tommy Pauly, Christian Priebe, Rehan Rishi, Guy Rothblum, Michael Scaria, Linmao Song, Congzheng Song, Karl Tarbe, Sebastian Vogt, Luke Winstrom, Shundong Zhou:
  Samplable Anonymous Aggregation for Private Federated Data Analysis. CoRR abs/2307.15017 (2023)
• 2022
• 
  Tengyue Li, Simon Fong, Sabah Mohammed, Jinan Fiaidhi, Steven Guan, Victor Chang:
  Empowering multi-class medical data classification by Group-of-Single-Class-predictors and transfer optimization: Cases of structured dataset by machine learning and radiological images by deep learning. Future Gener. Comput. Syst. 133: 10-22 (2022)
• 
  Victor Chang, Keerthi Kandadai, Qianwen Ariel Xu, Steven Guan:
  Development of a Diabetes Diagnosis System Using Machine Learning Algorithms. Int. J. Distributed Syst. Technol. 13(1): 1-22 (2022)
• 
  Chun Liu, Cheng Wang, Steven M. Wise, Xingye Yue, Shenggao Zhou:
  An iteration solver for the Poisson-Nernst-Planck system and its convergence analysis. J. Comput. Appl. Math. 406: 114017 (2022)
• 
  Tingjun Chen, Jiakai Yu, Artur Minakhmetov, Craig Gutterman, Michael Sherman, Shengxiang Zhu, Steven Santaniello, Aishik Biswas, Ivan Seskar, Gil Zussman, Dan Kilper:
  A Software-Defined Programmable Testbed for Beyond 5G Optical-Wireless Experimentation at City-Scale. IEEE Netw. 36(2): 90-99 (2022)
• 
  Carlos Abellan Beteta, Dimitra Andreou, Marina Artuso, Andy Beiter, Steven Blusk, Roma Bugiel, Szymon Bugiel, Antonio Carbone, Ina Carli, Bo Chen, Nadim Conti, Federico De Benedetti, Shuchong Ding, Scott Ely, Miroslaw Firlej, Tomasz Fiutowski, Paolo Gandini, Danielle Germann, Nathan Grieser, Marek Idzik, Xiaojie Jiang, Wojciech Krupa, Yiming Li, Zhuoming Li, Xixin Liang, Shuaiyi Liu, Yu Lu, Lauren Mackey, Jakub Moron, Ray Mountain, Marco Petruzzo, Hang Pham, Burkhard Schmidt, Shuqi Sheng, Elisabetta Spadaro Norella, Krzysztof Swientek, Tomasz Szumlak, Mark Tobin, Jianchun Wang, Michael Wilkinson, Hangyi Wu, Feihao Zhang, Quan Zou:
  The SALT - Readout ASIC for Silicon Strip Sensors of Upstream Tracker in the Upgraded LHCb Experiment. Sensors 22(1): 107 (2022)
• 
  Yuxuan Zhao, Ka Lok Man, Jeremy S. Smith, Sheng-Uei Guan:
  A novel two-stream structure for video anomaly detection in smart city management. J. Supercomput. 78(3): 3940-3954 (2022)
• 
  Shuning Chang, Yanchao Li, Shengmei Shen, Jiashi Feng, Steven Zhiying Zhou:
  Contrastive Attention for Video Anomaly Detection. IEEE Trans. Multim. 24: 4067-4076 (2022)
• 
  Tianyi Chen, Shengrong Bu, Xue Liu, Jikun Kang, F. Richard Yu, Zhu Han:
  Peer-to-Peer Energy Trading and Energy Conversion in Interconnected Multi-Energy Microgrids Using Multi-Agent Deep Reinforcement Learning. IEEE Trans. Smart Grid 13(1): 715-727 (2022)
• 
  Saurabh Jha, Shengkun Cui, Timothy Tsai, Siva Kumar Sastry Hari, Michael B. Sullivan, Zbigniew T. Kalbarczyk, Stephen W. Keckler, Ravishankar K. Iyer:
  Exploiting Temporal Data Diversity for Detecting Safety-critical Faults in AV Compute Systems. DSN 2022: 88-100
• 
  Ken Ziyu Liu, Shengyuan Hu, Steven Wu, Virginia Smith:
  On Privacy and Personalization in Cross-Silo Federated Learning. NeurIPS 2022
• 
  Shengkai Li, Hussain N. Gynai, Steven Tarr, Pablo Laguna, Gongjie Li, Daniel I. Goldman:
  Robophysical modeling of spacetime dynamics. CoRR abs/2202.04835 (2022)
• 
  Shengyuan Hu, Zhiwei Steven Wu, Virginia Smith:
  Provably Fair Federated Learning via Bounded Group Loss. CoRR abs/2203.10190 (2022)
• 
  Ken Ziyu Liu, Shengyuan Hu, Zhiwei Steven Wu, Virginia Smith:
  On Privacy and Personalization in Cross-Silo Federated Learning. CoRR abs/2206.07902 (2022)
• 
  Chun Liu, Cheng Wang, Steven M. Wise, Xingye Yue, Shenggao Zhou:
  A second order accurate numerical method for the Poisson-Nernst-Planck system in the energetic variational formulation. CoRR abs/2208.06123 (2022)
• 
  Liye Jia, Cong Zhou, Ka Lok Man, Sheng-Uei Guan, Jeremy S. Smith, Yutao Yue:
  The Cause of Causal Emergence: Redistribution of Uncertainty. CoRR abs/2212.01551 (2022)
• 2021
• 
  Abiodun Komolafe, Bahareh Zaghari, Russel N. Torah, Alex S. Weddell, Hamideh Khanbareh, Zois Michail Tsikriteas, Mark Vousden, Mahmoud Wagih, Ulises Tronco Jurado, Junjie Shi, Sheng Yong, Sasikumar Arumugam, Yi Li, Kai Yang, Guillaume Savelli, Neil M. White, Stephen P. Beeby:
  E-Textile Technology Review-From Materials to Application. IEEE Access 9: 97152-97179 (2021)
• 
  Steven Yen, Melody Moh, Teng-Sheng Moh:
  Detecting Compromised Social Network Accounts Using Deep Learning for Behavior and Text Analyses. Int. J. Cloud Appl. Comput. 11(2): 97-109 (2021)
• 
  Harris Carmichael, Jean Coquet, Ran Sun, Shengtian Sang, Danielle Groat, Steven M. Asch, Joseph Bledsoe, Ithan D. Peltan, Jason R. Jacobs, Tina Hernandez-Boussard:
  Learning from past respiratory failure patients to triage COVID-19 patient ventilator needs: A multi-institutional study. J. Biomed. Informatics 119: 103802 (2021)
• 
  Chun Liu, Cheng Wang, Steven M. Wise, Xingye Yue, Shenggao Zhou:
  A positivity-preserving, energy stable and convergent numerical scheme for the Poisson-Nernst-Planck system. Math. Comput. 90(331): 2071-2106 (2021)

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