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ORCID26th PAKDD 2022: Chengdu, China - Part I
- João Gama, Tianrui Li
, Yang Yu, Enhong Chen, Yu Zheng, Fei Teng:
Advances in Knowledge Discovery and Data Mining - 26th Pacific-Asia Conference, PAKDD 2022, Chengdu, China, May 16-19, 2022, Proceedings, Part I. Lecture Notes in Computer Science 13280, Springer 2022, ISBN 978-3-031-05932-2
Data Science
- Siyang Jiang, Wei Ding, Hsi-Wen Chen, Ming-Syan Chen:
PGADA: Perturbation-Guided Adversarial Alignment for Few-Shot Learning Under the Support-Query Shift. 3-15 - Ngo Van Linh, Nam Le Hai, Hoang Pham, Khoat Than:
Auxiliary Local Variables for Improving Regularization/Prior Approach in Continual Learning. 16-28 - Junfeng Wu, Guangyan Huang, Roozbeh Zarei, Jianxin Li, Guang-Li Huang, Hui Zheng, Jing He, Chi-Hung Chi:
Emerging Scientific Topic Discovery by Finding Infrequent Synonymous Biterms. 29-40 - Xiaoyun Mo, Mingqian Li, Mo Li:
Predicting Abnormal Events in Urban Rail Transit Systems with Multivariate Point Process. 41-53 - Shinhwan Kang, Kyuhan Lee, Kijung Shin:
Are Edge Weights in Summary Graphs Useful? - A Comparative Study. 54-67 - Hao Niu, Chuizheng Meng, Defu Cao, Guillaume Habault, Roberto Legaspi, Shinya Wada, Chihiro Ono, Yan Liu:
Mu2ReST: Multi-resolution Recursive Spatio-Temporal Transformer for Long-Term Prediction. 68-80 - Lin Liu, Wei Zhou, Junhao Wen, Yihao Zhang, Yu Wang, Hanwen Zhang:
LCAN: Light Cross-Attention Network for Collaborative Filtering Recommendation. 81-92 - Depeng Xu, Shuhan Yuan, Yueyang Wang, Angela Uchechukwu Nwude, Lu Zhang, Anna Zajicek, Xintao Wu:
Coded Hate Speech Detection via Contextual Information. 93-105 - Hoang Phan, Anh Phan Tuan, Son Nguyen, Ngo Van Linh, Khoat Than:
Reducing Catastrophic Forgetting in Neural Networks via Gaussian Mixture Approximation. 106-117 - Zhehao Zhang, Xiaobo Zhang, Dengmin Wen, Lilan Peng, Yuxin Zhou:
A Novel Semi-supervised Neural Network for Recognizing Parkinson's Disease. 118-130 - Jiaxin Zhang, Jie Liu, Shaowei Chen, Shaoxin Lin, Bingquan Wang, Shanpeng Wang:
ADAM: An Attentional Data Augmentation Method for Extreme Multi-label Text Classification. 131-142 - Yankun Ren, Longfei Li, Xinxing Yang, Jun Zhou:
AutoTransformer: Automatic Transformer Architecture Design for Time Series Classification. 143-155 - Ting Lin, Aixin Sun, Yequan Wang:
Aspect-Based Sentiment Analysis Through EDU-Level Attentions. 156-168 - Yang Chen, Miao Xie, Jiamou Liu, Kaiqi Zhao:
Interconnected Neural Linear Contextual Bandits with UCB Exploration. 169-181 - Chuan Sun, Feihu Huang, Jian Peng:
Node Information Awareness Pooling for Graph Representation Learning. 182-193 - Masooma Iftikhar, Qing Wang, Yang Li:
dK-Personalization: Publishing Network Statistics with Personalized Differential Privacy. 194-207 - Zhi Xu, Lushuai Niu, Ruimin Meng, Longyang Zhao, Jianqiu Ji:
Residual Vector Product Quantization for Approximate Nearest Neighbor Search. 208-220 - Jie Li, Jun-Qi Guo, Wei Gao:
Data Removal from an AUC Optimization Model. 221-235 - Baobao Song, Qiujun Lan, Yang Li, Gang Li:
Distributed Differentially Private Ranking Aggregation. 236-248 - Dianer Yu, Qian Li, Xiangmeng Wang, Zhichao Wang, Yanan Cao, Guandong Xu:
Semantics-Guided Disentangled Learning for Recommendation. 249-261 - Adit Krishnan, Mahashweta Das, Mangesh Bendre, Fei Wang, Hao Yang, Hari Sundaram:
Multi-task Knowledge Graph Representations via Residual Functions. 262-275 - Yingchun Jian, Jinfeng Yi, Lijun Zhang:
Adaptive Feature Generation for Online Continual Learning from Imbalanced Data. 276-289 - Xinlei Zhang, Wendi Ji, Jiahao Yuan, Xiaoling Wang:
Order-Aware Graph Neural Network for Sequential Recommendation. 290-302 - Zhenxin Wu, Jiazheng Gong, Kecen Guo, Guanye Liang, Qingliang Chen, Bo Liu:
Domain-Level Pairwise Semantic Interaction for Aspect-Based Sentiment Classification. 303-314 - Preeti Gopal, Sunil Gupta, Santu Rana, Vuong Le, Trong Nguyen, Svetha Venkatesh:
Real-Time Skill Discovery in Intelligent Virtual Assistants. 315-327 - Guozhen Zhu, Zhongbao Zhang, Sen Su:
Few-Shot Knowledge Graph Entity Typing. 328-340 - Zhi Rui Tam, Yi-Lun Wu, Hong-Han Shuai:
Improving Entity Disambiguation Using Knowledge Graph Regularization. 341-353 - Chung Park, Junui Hong, Cheonbok Park, Taesan Kim, Minsung Choi, Jaegul Choo:
PASTA: PArallel Spatio-Temporal Attention with Spatial Auto-Correlation Gating for Fine-Grained Crowd Flow Prediction. 354-366 - Tatsuya Konishi, Mori Kurokawa, Chihiro Ono, Zixuan Ke, Gyuhak Kim, Bing Liu:
Partially Relaxed Masks for Knowledge Transfer Without Forgetting in Continual Learning. 367-379 - Haodong Meng, Changzhi Chen, Hongyu Yi, Xiaofeng He:
Dual-State Knowledge Tracing Model with Mutual Information Maximization. 380-392 - Yi Yang, Xiaoyan Gu, Haihui Fan, Bo Li, Weiping Wang:
Multi-granularity Evolution Network for Dynamic Link Prediction. 393-405 - Yansong Shen, Lin Li, Qing Xie, Xin Li, Guandong Xu:
A Two-Tower Spatial-Temporal Graph Neural Network for Traffic Speed Prediction. 406-418 - Fazeleh Sadat Hoseini, Morteza Haghir Chehreghani:
Memory-Efficient Minimax Distance Measures. 419-431 - Fengli Cui, Yinghao Chen, Yuntao Du, Yikang Cao, Chongjun Wang:
Joint Feature and Labeling Function Adaptation for Unsupervised Domain Adaptation. 432-446 - Ashkan Farhangi, Ning Sui, Nan Hua, Haiyan Bai, Arthur Huang, Zhishan Guo:
Protoformer: Embedding Prototypes for Transformers. 447-458 - Manish Bhanu, Rahul Kumar, Saswata Roy, João Mendes-Moreira, Joydeep Chandra:
Graph Multi-Head Convolution for Spatio-Temporal Attention in Origin Destination Tensor Prediction. 459-471 - Cedric Kulbach, Jacob Montiel, Maroua Bahri, Marco Heyden, Albert Bifet:
Evolution-Based Online Automated Machine Learning. 472-484 - Gautier Pialla, Hassan Ismail Fawaz, Maxime Devanne, Jonathan Weber, Lhassane Idoumghar, Pierre-Alain Muller, Christoph Bergmeir, Daniel F. Schmidt, Geoffrey I. Webb, Germain Forestier:
Smooth Perturbations for Time Series Adversarial Attacks. 485-496 - Hsien-Yung Peng, Ho-Lam Chung, Ying-Hong Chan, Yao-Chung Fan:
Misleading Inference Generation via Proximal Policy Optimization. 497-509 - Jie Wang, Yan Yang, Keyu Liu, Peng Xie, Xiaorong Liu:
Instance-Guided Multi-modal Fake News Detection with Dynamic Intra- and Inter-modality Fusion. 510-521 - Hong Zhao, Yao Fu, Weihao Jiang, Shiliang Pu, Xiaoyu Cai:
Simulate Human Thinking: Cognitive Knowledge Graph Reasoning for Complex Question Answering. 522-534 - Huizhao Wang, Yao Fu, Linghui Hu, Weihao Jiang, Shiliang Pu:
Separate then Constrain: A Hierarchical Network for End-to-End Triples Extraction. 535-547 - Runze Wang, Zehua Zhang, Yueqin Zhang, Zhongyuan Jiang, Shilin Sun, Chenwei Zhang:
Sparse Imbalanced Drug-Target Interaction Prediction via Heterogeneous Data Augmentation and Node Similarity. 548-561 - Lu Ma, Peng Zhang, Xi Zhu, Dan Luo, Bin Wang:
Structure-Aware Reasoning for Knowledge Base Question Answering. 562-573 - Siddharth Sadhwani, Nishant Grover, Md. Shad Akhtar, Tanmoy Chakraborty:
Detecting Anchors' Opinion in Hinglish News Delivery. 574-586 - Lu Dai, Bang Wang, Wei Xiang, Minghua Xu, Han Xu:
A Hybrid Semantic-Topic Co-encoding Network for Social Emotion Classification. 587-598
Big Data Technologies
- Guoyizhe Wei, Xiu Li:
Knowledge Lock: Overcoming Catastrophic Forgetting in Federated Learning. 601-612 - Shunjian Liu, Xinxin Feng, Haifeng Zheng:
Overcoming Forgetting in Local Adaptation of Federated Learning Model. 613-625 - Yiwen Cao, Kui Yu, Xiaoling Huang, Yujie Wang:
A New Skeleton-Neural DAG Learning Approach. 626-638 - Ying Pang, Haibo Zhang, Jeremiah D. Deng, Lizhi Peng, Fei Teng:
Rule-Based Collaborative Learning with Heterogeneous Local Learning Models. 639-651
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