• 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 190 matches

• 2024
• 
  Shuqi Liu, Yu Zhou, Longbing Ji, Tingting Han, Taolue Chen:
  Enhancing test reuse with GUI events deduplication and adaptive semantic matching. Sci. Comput. Program. 232: 103052 (2024)
• 
  Zhi-Lin Zhao, Longbing Cao, Kun-Yu Lin:
  Out-of-Distribution Detection by Cross-Class Vicinity Distribution of In-Distribution Data. IEEE Trans. Neural Networks Learn. Syst. 35(10): 13777-13788 (2024)
• 
  Yawen Zheng, Xiaojie Zhao, Li Yao, Longbing Cao:
  Deep Multidilation Temporal and Spatial Dependence Modeling in Stereoscopic 3-D EEG for Visual Discomfort Assessment. IEEE Trans. Syst. Man Cybern. Syst. 54(4): 2125-2136 (2024)
• 
  An Lao, Qi Zhang, Chongyang Shi, Longbing Cao, Kun Yi, Liang Hu, Duoqian Miao:
  Frequency Spectrum Is More Effective for Multimodal Representation and Fusion: A Multimodal Spectrum Rumor Detector. AAAI 2024: 18426-18434
• 
  Xiang Chen, Qingjiang Xiao, Hongyan Liu, Qun Huang, Dong Zhang, Xuan Liu, Longbing Hu, Haifeng Zhou, Chunming Wu, Kui Ren:
  Eagle: Toward Scalable and Near-Optimal Network-Wide Sketch Deployment in Network Measurement. SIGCOMM 2024: 291-310
• 
  Jianing He, Qi Zhang, Weiping Ding, Duoqian Miao, Jun Zhao, Liang Hu, Longbing Cao:
  DE³-BERT: Distance-Enhanced Early Exiting for BERT based on Prototypical Networks. CoRR abs/2402.05948 (2024)
• 
  Jin Li, Shoujin Wang, Qi Zhang, Longbing Cao, Fang Chen, Xiuzhen Zhang, Dietmar Jannach, Charu C. Aggarwal:
  Causal Learning for Trustworthy Recommender Systems: A Survey. CoRR abs/2402.08241 (2024)
• 
  Hui Chen, Hengyu Liu, Zhangkai Wu, Xuhui Fan, Longbing Cao:
  FedSI: Federated Subnetwork Inference for Efficient Uncertainty Quantification. CoRR abs/2404.15657 (2024)
• 
  Zhangkai Wu, Xuhui Fan, Jin Li, Zhilin Zhao, Hui Chen, Longbing Cao:
  ParamReL: Learning Parameter Space Representation via Progressively Encoding Bayesian Flow Networks. CoRR abs/2405.15268 (2024)
• 
  Hui He, Qi Zhang, Kun Yi, Xiaojun Xue, Shoujin Wang, Liang Hu, Longbing Cao:
  Robust Multivariate Time Series Forecasting against Intra- and Inter-Series Transitional Shift. CoRR abs/2407.13194 (2024)
• 
  Jiaxing Miao, Liang Hu, Qi Zhang, Longbing Cao:
  Graph Memory Learning: Imitating Lifelong Remembering and Forgetting of Brain Networks. CoRR abs/2407.19183 (2024)
• 2023
• 
  Zhi-Lin Zhao, Longbing Cao, Kun-Yu Lin:
  Revealing the Distributional Vulnerability of Discriminators by Implicit Generators. IEEE Trans. Pattern Anal. Mach. Intell. 45(7): 8888-8901 (2023)
• 
  Zhilin Zhao, Longbing Cao, Kun-Yu Lin:
  Supervision Adaptation Balancing In-Distribution Generalization and Out-of-Distribution Detection. IEEE Trans. Pattern Anal. Mach. Intell. 45(12): 15743-15758 (2023)
• 
  Shoujin Wang, Yan Wang, Liang Hu, Xiuzhen Zhang, Qi Zhang, Quan Z. Sheng, Mehmet A. Orgun, Longbing Cao, Defu Lian:
  Modeling User Demand Evolution for Next-Basket Prediction. IEEE Trans. Knowl. Data Eng. 35(11): 11585-11598 (2023)
• 
  Matthew Lai, Longbing Cao, Haiyan Lu, Quang Ha, Li Li, Md. Jahangir Hossain, Paul J. Kennedy:
  An Unsupervised Hierarchical Clustering Approach to Improve Hopfield Retrieval Accuracy. IJCNN 2023: 1-8
• 
  Kun Yi, Qi Zhang, Wei Fan, Hui He, Liang Hu, Pengyang Wang, Ning An, Longbing Cao, Zhendong Niu:
  FourierGNN: Rethinking Multivariate Time Series Forecasting from a Pure Graph Perspective. NeurIPS 2023
• 
  Kun Yi, Qi Zhang, Wei Fan, Shoujin Wang, Pengyang Wang, Hui He, Ning An, Defu Lian, Longbing Cao, Zhendong Niu:
  Frequency-domain MLPs are More Effective Learners in Time Series Forecasting. NeurIPS 2023
• 
  Yu Dong, Jie Liang, Longbing Cao, Daniel R. Catchpoole:
  ClinicLens: Visual Analytics for Exploring and Optimizing the Testing Capacity of Clinics given Uncertainty. CoRR abs/2303.13558 (2023)
• 
  Hui Chen, Hengyu Liu, Longbing Cao, Tiancheng Zhang:
  Bayesian Personalized Federated Learning with Shared and Personalized Uncertainty Representations. CoRR abs/2309.15499 (2023)
• 
  Kun Yi, Qi Zhang, Wei Fan, Shoujin Wang, Pengyang Wang, Hui He, Defu Lian, Ning An, Longbing Cao, Zhendong Niu:
  Frequency-domain MLPs are More Effective Learners in Time Series Forecasting. CoRR abs/2311.06184 (2023)
• 
  Kun Yi, Qi Zhang, Wei Fan, Hui He, Liang Hu, Pengyang Wang, Ning An, Longbing Cao, Zhendong Niu:
  FourierGNN: Rethinking Multivariate Time Series Forecasting from a Pure Graph Perspective. CoRR abs/2311.06190 (2023)
• 
  An Lao, Qi Zhang, Chongyang Shi, Longbing Cao, Kun Yi, Liang Hu, Duoqian Miao:
  Frequency Spectrum is More Effective for Multimodal Representation and Fusion: A Multimodal Spectrum Rumor Detector. CoRR abs/2312.11023 (2023)
• 2022
• 
  Shoujin Wang, Longbing Cao, Yan Wang, Quan Z. Sheng, Mehmet A. Orgun, Defu Lian:
  A Survey on Session-based Recommender Systems. ACM Comput. Surv. 54(7): 154:1-154:38 (2022)
• 
  Xuan Li, Peijun Ye, Juanjuan Li, Zhongmin Liu, Longbing Cao, Fei-Yue Wang:
  From Features Engineering to Scenarios Engineering for Trustworthy AI: I&I, C&C, and V&V. IEEE Intell. Syst. 37(4): 18-26 (2022)
• 
  Siyuan Ren, Bin Guo, Ke Li, Qianru Wang, Zhiwen Yu, Longbing Cao:
  CoupledMUTS: Coupled Multivariate Utility Time-Series Representation and Prediction. IEEE Internet Things J. 9(22): 22972-22982 (2022)
• 
  Siyuan Ren, Bin Guo, Longbing Cao, Ke Li, Jiaqi Liu, Zhiwen Yu:
  DeepExpress: Heterogeneous and Coupled Sequence Modeling for Express Delivery Prediction. ACM Trans. Intell. Syst. Technol. 13(6): 89:1-89:22 (2022)
• 
  Wei Liu, Kexin Xie, Linsey Pang, James Bailey, Longbing Cao, Yuxi Zhang:
  Deep Learning for Search and Recommendation. CIKM 2022: 5171-5172
• 
  Qi Zhang, Liang Hu, Longbing Cao, Chongyang Shi, Shoujin Wang, Dora D. Liu:
  A Probabilistic Code Balance Constraint with Compactness and Informativeness Enhancement for Deep Supervised Hashing. IJCAI 2022: 1651-1657
• 
  Guansong Pang, Jundong Li, Anton van den Hengel, Longbing Cao, Thomas G. Dietterich:
  ANDEA: Anomaly and Novelty Detection, Explanation, and Accommodation. KDD 2022: 4892-4893
• 
  Zhilin Zhao, Longbing Cao, Kun-Yu Lin:
  Supervision Adaptation Balances In-Distribution Generalization and Out-of-Distribution Detection. CoRR abs/2206.09380 (2022)

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