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ORCID29th ICONIP 2022: Virtual Event - Part IV
- Mohammad Tanveer, Sonali Agarwal
, Seiichi Ozawa, Asif Ekbal, Adam Jatowt:
Neural Information Processing - 29th International Conference, ICONIP 2022, Virtual Event, November 22-26, 2022, Proceedings, Part IV. Communications in Computer and Information Science 1791, Springer 2023, ISBN 978-981-99-1638-2
Theory and Algorithms I
- Min Chen, Zhiqiang Pu, Yi Pan, Jianqiang Yi:
Knowledge Transfer from Situation Evaluation to Multi-agent Reinforcement Learning. 3-14 - Qi Dai, Jian-wei Liu, Jia-Peng Yang:
Sequential Three-Way Rules Class-Overlap Under-Sampling Based on Fuzzy Hierarchical Subspace for Imbalanced Data. 15-27 - Xiang Xing, Jian-wei Liu, Zi-Hao Cheng:
Two-Stage Multilayer Perceptron Hawkes Process. 28-39 - Ming-hui Wang, Jian-wei Liu:
The Context Hierarchical Contrastive Learning for Time Series in Frequency Domain. 40-52 - Ze Cao, Jian-wei Liu, Zi-Hao Cheng:
Hawkes Process via Graph Contrastive Discriminant Representation Learning and Transformer Capturing Long-Term Dependencies. 53-64 - Junfeng Meng, Qiwei Shen, Yangliu He, Jianxin Liao:
A Temporal Consistency Enhancement Algorithm Based on Pixel Flicker Correction. 65-78 - Haoming He, Deyu Zeng, Chris Ding, Zongze Wu:
Data Representation and Clustering with Double Low-Rank Constraints. 79-91 - Natan Levy, Guy Katz:
RoMA: A Method for Neural Network Robustness Measurement and Assessment. 92-105 - Tianlei Jin, Wen Wang, Shiqiang Zhu, Xiangming Xi, Qiwei Meng, Zonghao Mu, Wei Song:
Independent Relationship Detection for Real-Time Scene Graph Generation. 106-118 - Zhiwei Ye, Haichao Zhang, Mingwei Wang, Qiyi He:
A Multi-label Feature Selection Method Based on Feature Graph with Ridge Regression and Eigenvector Centrality. 119-129 - Yimeng Ren, Yuhu Shang, Kun Liang, Xiankun Zhang, Yiying Zhang:
O3GPT: A Guidance-Oriented Periodic Testing Framework with Online Learning, Online Testing, and Online Feedback. 130-141 - Yeguang Qin, Fengxiao Tang, Ming Zhao, Yusen Zhu:
AFFSRN: Attention-Based Feature Fusion Super-Resolution Network. 142-152 - Xiaoling Luo, Hanwen Liu, Yi Chen, Malu Zhang, Hong Qu:
Temporal-Sequential Learning with Columnar-Structured Spiking Neural Networks. 153-164 - Libo Wang, Si Chen, Zhen Wang, Da-Han Wang, Shunzhi Zhu:
Graph Attention Transformer Network for Robust Visual Tracking. 165-176 - Qimeng Guo, Huajuan Duan, Chuanhao Dong, Peiyu Liu, Liancheng Xu:
GCL-KGE: Graph Contrastive Learning for Knowledge Graph Embedding. 177-188 - Yongxin Kang, Enmin Zhao, Yifan Zang, Kai Li, Junliang Xing:
Towards a Unified Benchmark for Reinforcement Learning in Sparse Reward Environments. 189-201 - Wenhao Lu, Chi-Sing Leung, John Sum:
Effect of Logistic Activation Function and Multiplicative Input Noise on DNN-kWTA Model. 202-214 - Bang Xiong, Jiayang Huang, Bo Wan, Changhua Jiang, Kejia Su, Fei Wang:
A High-Speed SSVEP-Based Speller Using Continuous Spelling Method. 215-226 - Mengzhu Wang, Shanshan Wang, Tianwei Yan, Zhigang Luo:
AAT: Non-local Networks for Sim-to-Real Adversarial Augmentation Transfer. 227-238 - Xianze Wu, Dongyu Ru, Weinan Zhang, Yong Yu, Ziming Feng:
Aggregating Intra-class and Inter-class Information for Multi-label Text Classification. 239-250 - Tomasz Galkowski, Adam Krzyzak:
Fast Estimation of Multidimensional Regression Functions by the Parzen Kernel-Based Method. 251-262 - Adam Malkowski, Jakub Grzechocinski, Pawel Wawrzynski:
ReGAE: Graph Autoencoder Based on Recursive Neural Networks. 263-274 - Gargi Roy, Dalia Chakrabarty:
Efficient Uncertainty Quantification for Under-Constraint Prediction Following Learning Using MCMC. 275-287 - Yuanchun Xiong, Baowen Zhang:
SMART: A Robustness Evaluation Framework for Neural Networks. 288-299 - Chong Mo, Ye Wang, Yan Jia, Cui Luo:
Time-aware Quaternion Convolutional Network for Temporal Knowledge Graph Reasoning. 300-312 - A. Vivek, V. Susheela Devi:
SumBART - An Improved BART Model for Abstractive Text Summarization. 313-323 - Haoxuan Xiong, Yuanyuan Xu:
Saliency-Guided Learned Image Compression for Object Detection. 324-335 - Yuhang Ge, Xuegang Hu, Peipei Li, Haobo Wang, Junbo Zhao, Junlong Li:
Multi-label Learning with Data Self-augmentation. 336-347 - Laiping Cui, Zhenyu Yang, Guojing Liu, Yu Wang, Kaiyang Ma:
MnRec: A News Recommendation Fusion Model Combining Multi-granularity Information. 348-360 - Yuchen Pan, Jun Li, Jianhua Xu:
Infinite Label Selection Method for Mutil-label Classification. 361-372 - Andrei Boiarov, Kostiantyn Khabarlak, Igor Yastrebov:
Simultaneous Perturbation Method for Multi-task Weight Optimization in One-Shot Meta-learning. 373-384 - Xiangzhe Guo, Ruidan Su, Shikui Tu, Lei Xu:
Searching for Textual Adversarial Examples with Learned Strategy. 385-396 - Zehan Tan, Mingyu Zhao, Yun Wang, Weidong Yang:
Multivariate Time Series Retrieval with Binary Coding from Transformer. 397-408 - Hua Yang, Ming Gu:
Learning TSP Combinatorial Search and Optimization with Heuristic Search. 409-419 - Qinglin Li, Guanyu Xing, Yanli Liu:
A Joint Learning Model for Open Set Recognition with Post-processing. 420-432 - Honglin Zhu, Ning Jiang, Jialiang Tang, Xinlei Huang, Haifeng Qing, Wenqing Wu, Peng Zhang:
Cross-Layer Fusion for Feature Distillation. 433-445 - Zehua Zeng, Xiaohan She, Xuetao Qiu, Hongfeng Chai, Yanming Yang:
MCHPT: A Weakly Supervise Based Merchant Pre-trained Model. 446-456 - Stanislaw Pawlak, Filip Szatkowski, Michal Bortkiewicz, Jan Dubinski, Tomasz Trzcinski:
Progressive Latent Replay for Efficient Generative Rehearsal. 457-467 - Masanari Kimura:
Generalization Bounds for Set-to-Set Matching with Negative Sampling. 468-476 - Amit Kumar Sah, Muhammad Abulaish:
ADA: An Attention-Based Data Augmentation Approach to Handle Imbalanced Textual Datasets. 477-488 - Anjie Peng, Chenggang Li, Ping Zhu, Xiaofang Huang, Hui Zeng, Wenxin Yu:
Countering the Anti-detection Adversarial Attacks. 489-500 - Hao Tang, Donghong Liu, Xinhai Xu, Feng Zhang:
Evolving Temporal Knowledge Graphs by Iterative Spatio-Temporal Walks. 501-512 - Guangbin Wang, Yuxin Ding, Yiqi Su, Zihan Zhou, Yubin Ma, Wen Qian:
Improving Knowledge Graph Embedding Using Dynamic Aggregation of Neighbor Information. 513-525 - Weimin Sun, Gang Yang:
Generative Generalized Zero-Shot Learning Based on Auxiliary-Features. 526-537 - Zhouzheng Li, Dongyan Miao, Junfeng Gao, Kun Feng:
Learning Stable Representations with Progressive Autoencoder (PAE). 538-549 - Anjie Peng, Chenggang Li, Ping Zhu, Zhiyuan Wu, Kun Wang, Hui Zeng, Wenxin Yu:
Effect of Image Down-sampling on Detection of Adversarial Examples. 550-561 - Chenghai He, Li Zhou, Kai Zhang, Hailing Li, Shoufeng Cao, Gang Xiong, Xiaohang Zhang:
Boosting the Robustness of Neural Networks with M-PGD. 562-573 - Dominik Lewy, Jacek Mandziuk, Maria Ganzha, Marcin Paprzycki:
StatMix: Data Augmentation Method that Relies on Image Statistics in Federated Learning. 574-585 - Mehrdad Mohannazadeh Bakhtiari, Thomas Villmann:
Classification by Components Including Chow's Reject Option. 586-596 - Dianying Chen, Xuesong Jiang, Jun Chen, Xiumei Wei:
Community Discovery Algorithm Based on Improved Deep Sparse Autoencoder. 597-609 - Anwesh Bhattacharya, Snehanshu Saha, Nithin Nagaraj:
Fairly Constricted Multi-objective Particle Swarm Optimization. 610-621 - Umer Mushtaq, Jérémie Cabessa:
Argument Classification with BERT Plus Contextual, Structural and Syntactic Features as Text. 622-633 - Haonan Jia, Xiao Zhang, Jun Xu, Wei Zeng, Hao Jiang, Xiaohui Yan:
Variance Reduction for Deep Q-Learning Using Stochastic Recursive Gradient. 634-646 - Xinlei Huang, Jialiang Tang, Haifeng Qing, Honglin Zhu, Ning Jiang, Wenqing Wu, Peng Zhang:
Optimizing Knowledge Distillation via Shallow Texture Knowledge Transfer. 647-658 - S. Suryavardan, Viswanath Pulabaigari, Rakesh Kumar Sanodiya:
Unsupervised Domain Adaptation Supplemented with Generated Images. 659-670 - Gaoyun Fang, Yang Liu, Jing Liu, Liang Song:
MAR2MIX: A Novel Model for Dynamic Problem in Multi-agent Reinforcement Learning. 671-682 - Hikaru Higuchi, Satoshi Suzuki, Hayaru Shouno:
Adversarial Training with Knowledge Distillation Considering Intermediate Representations in CNNs. 683-691 - Lei Cheng, Yongyong Chen, Zhongyun Hua:
Deep Contrastive Multi-view Subspace Clustering. 692-704
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