• 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 34 matches

• 2024
• 
  Zhiqian Chen, Fanglan Chen, Lei Zhang, Taoran Ji, Kaiqun Fu, Liang Zhao, Feng Chen, Lingfei Wu, Charu Aggarwal, Chang-Tien Lu:
  Bridging the Gap between Spatial and Spectral Domains: A Unified Framework for Graph Neural Networks. ACM Comput. Surv. 56(5): 126:1-126:42 (2024)
• 
  Fanglan Ma, Changsheng Zhu, Dukui Liu:
  A deeper knowledge tracking model integrating cognitive theory and learning behavior. J. Intell. Fuzzy Syst. 46(3): 6607-6617 (2024)
• 
  Peng Lei, Fanglan Ma, Changsheng Zhu, Tianyu Li:
  LSTM Short-Term Wind Power Prediction Method Based on Data Preprocessing and Variational Modal Decomposition for Soft Sensors. Sensors 24(8): 2521 (2024)
• 2023
• 
  Subhodip Biswas, Fanglan Chen, Zhiqian Chen, Chang-Tien Lu, Naren Ramakrishnan:
  Memetic Algorithms for Spatial Partitioning Problems. ACM Trans. Spatial Algorithms Syst. 9(1): 5:1-5:31 (2023)
• 
  Dongjie Wang, Yanjie Fu, Kunpeng Liu, Fanglan Chen, Pengyang Wang, Chang-Tien Lu:
  Automated Urban Planning for Reimagining City Configuration via Adversarial Learning: Quantification, Generation, and Evaluation. ACM Trans. Spatial Algorithms Syst. 9(1): 2:1-2:24 (2023)
• 
  Fanglan Chen, Subhodip Biswas, Zhiqian Chen, Shuo Lei, Naren Ramakrishnan, Chang-Tien Lu:
  Exploring Tradeoffs in Automated School Redistricting: Computational and Ethical Perspectives. AAAI 2023: 15912-15920
• 
  Shuo Lei, Xuchao Zhang, Jianfeng He, Fanglan Chen, Chang-Tien Lu:
  TART: Improved Few-shot Text Classification Using Task-Adaptive Reference Transformation. ACL (1) 2023: 11014-11026
• 
  Jianfeng He, Xuchao Zhang, Shuo Lei, Abdulaziz Alhamadani, Fanglan Chen, Bei Xiao, Chang-Tien Lu:
  CLUR: Uncertainty Estimation for Few-Shot Text Classification with Contrastive Learning. KDD 2023: 698-710
• 
  Shuo Lei, Xuchao Zhang, Jianfeng He, Fanglan Chen, Chang-Tien Lu:
  TART: Improved Few-shot Text Classification Using Task-Adaptive Reference Transformation. CoRR abs/2306.02175 (2023)
• 2022
• 
  Yanshen Sun, Yen-Cheng Lu, Kaiqun Fu, Fanglan Chen, Chang-Tien Lu:
  Detecting anomalous traffic behaviors with seasonal deep Kalman filter graph convolutional neural networks. J. King Saud Univ. Comput. Inf. Sci. 34(8 Part A): 4729-4742 (2022)
• 
  Zonghan Zhang, Subhodip Biswas, Fanglan Chen, Kaiqun Fu, Taoran Ji, Chang-Tien Lu, Naren Ramakrishnan, Zhiqian Chen:
  Blocking Influence at Collective Level with Hard Constraints (Student Abstract). AAAI 2022: 13115-13116
• 
  Shuo Lei, Xuchao Zhang, Jianfeng He, Fanglan Chen, Bowen Du, Chang-Tien Lu:
  Cross-Domain Few-Shot Semantic Segmentation. ECCV (30) 2022: 73-90
• 
  Shuo Lei, Xuchao Zhang, Jianfeng He, Fanglan Chen, Chang-Tien Lu:
  Uncertainty-Aware Cross-Lingual Transfer with Pseudo Partial Labels. NAACL-HLT (Findings) 2022: 1987-1997
• 
  Subhodip Biswas, Fanglan Chen, Zhiqian Chen, Chang-Tien Lu, Naren Ramakrishnan:
  Sampling-based techniques for designing school boundaries. CoRR abs/2206.03703 (2022)
• 
  Subhodip Biswas, Fanglan Chen, Zhiqian Chen, Chang-Tien Lu, Naren Ramakrishnan:
  Memetic algorithms for Spatial Partitioning problems. CoRR abs/2208.02867 (2022)
• 2021
• 
  Padmaksha Roy, Shailik Sarkar, Subhodip Biswas, Fanglan Chen, Zhiqian Chen, Naren Ramakrishnan, Chang-Tien Lu:
  Deep diffusion-based forecasting of COVID-19 by incorporating network-level mobility information. ASONAM 2021: 168-175
• 
  Shuo Lei, Xuchao Zhang, Jianfeng He, Fanglan Chen, Chang-Tien Lu:
  Few-Shot Semantic Segmentation via Prototype Augmentation with Image-Level Annotations. ICME 2021: 1-6
• 
  Zhiqian Chen, Fanglan Chen, Lei Zhang, Taoran Ji, Kaiqun Fu, Liang Zhao, Feng Chen, Lingfei Wu, Charu C. Aggarwal, Chang-Tien Lu:
  Bridging the Gap between Spatial and Spectral Domains: A Theoretical Framework for Graph Neural Networks. CoRR abs/2107.10234 (2021)
• 
  Padmaksha Roy, Shailik Sarkar, Subhodip Biswas, Fanglan Chen, Zhiqian Chen, Naren Ramakrishnan, Chang-Tien Lu:
  Deep diffusion-based forecasting of COVID-19 by incorporating network-level mobility information. CoRR abs/2111.05199 (2021)
• 
  Dongjie Wang, Yanjie Fu, Kunpeng Liu, Fanglan Chen, Pengyang Wang, Chang-Tien Lu:
  Automated Urban Planning for Reimagining City Configuration via Adversarial Learning: Quantification, Generation, and Evaluation. CoRR abs/2112.14699 (2021)
• 2020
• 
  Subhodip Biswas, Fanglan Chen, Andreea Sistrunk, Sathappan Muthiah, Zhiqian Chen, Nathan Self, Chang-Tien Lu, Naren Ramakrishnan:
  Geospatial Clustering for Balanced and Proximal Schools. AAAI 2020: 13358-13365
• 
  Xuchao Zhang, Xian Wu, Fanglan Chen, Liang Zhao, Chang-Tien Lu:
  Self-Paced Robust Learning for Leveraging Clean Labels in Noisy Data. AAAI 2020: 6853-6860
• 
  Jianfeng He, Xuchao Zhang, Shuo Lei, Zhiqian Chen, Fanglan Chen, Abdulaziz Alhamadani, Bei Xiao, Chang-Tien Lu:
  Towards More Accurate Uncertainty Estimation In Text Classification. EMNLP (1) 2020: 8362-8372
• 
  Subhodip Biswas, Fanglan Chen, Zhiqian Chen, Chang-Tien Lu, Naren Ramakrishnan:
  Incorporating domain knowledge into Memetic Algorithms for solving Spatial Optimization problems. SIGSPATIAL/GIS 2020: 25-35
• 
  Fanglan Chen, Zhiqian Chen, Subhodip Biswas, Shuo Lei, Naren Ramakrishnan, Chang-Tien Lu:
  Graph Convolutional Networks with Kalman Filtering for Traffic Prediction. SIGSPATIAL/GIS 2020: 135-138
• 
  Zhiqian Chen, Fanglan Chen, Lei Zhang, Taoran Ji, Kaiqun Fu, Liang Zhao, Feng Chen, Chang-Tien Lu:
  Bridging the Gap between Spatial and Spectral Domains: A Survey on Graph Neural Networks. CoRR abs/2002.11867 (2020)
• 
  Shuo Lei, Xuchao Zhang, Jianfeng He, Fanglan Chen, Chang-Tien Lu:
  Few-Shot Semantic Segmentation Augmented with Image-Level Weak Annotations. CoRR abs/2007.01496 (2020)
• 2019
• 
  Subhodip Biswas, Fanglan Chen, Zhiqian Chen, Andreea Sistrunk, Nathan Self, Chang-Tien Lu, Naren Ramakrishnan:
  REGAL: A Regionalization framework for school boundaries. SIGSPATIAL/GIS 2019: 544-547
• 
  Xuchao Zhang, Fanglan Chen, Chang-Tien Lu, Naren Ramakrishnan:
  Mitigating Uncertainty in Document Classification. NAACL-HLT (1) 2019: 3126-3136
• 
  Xuchao Zhang, Fanglan Chen, Chang-Tien Lu, Naren Ramakrishnan:
  Mitigating Uncertainty in Document Classification. CoRR abs/1907.07590 (2019)

skipping 4 more matches