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科研进展

添加17,409字节, 2024年4月13日 (星期六)

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'''Selected Paper'''

2024

#Zhang J., etc.  Shapley-Optimized Reinforcement Learning for Human-Machine Collaboration Policy. In '''''Proceedings of '''''''DASFAA 2024'', Accepted

#Guo M., etc. SMILE: Spiking Multi-modal Interactive Label-guided Enhancement Network for Emotion Recognition. In '''''Proceedings of ICME 2024''''', Accepted

#Yuntao Du, Siqi Luo, yi Xin, MingCai Chen, Shuai Feng, Mujie Zhang, Chongjun Wang. Multi-source Fully Test-Time Adaptation. In '''''Proceedings of ICLR 2024 ''''''''Workshop PML4LRs''', Accepted

#Liu Z., Xia C., He W., Wang C. Trustworthiness and Self-awareness in Large Language Models: An Exploration through the Think-Solve-Verify Framework. In '''''Proceedings of ''''''''Coling'''''''' 2024''''', Accepted

#Liu Z., etc. '''Are Transformer-based Models More Robust than CNN-based Models?'''. '''Neural Networks''', Accepted

#Li S., etc. SEEKING SIMILARITIES WHILE REMOVING DIFFERENCES: GRAPH NEURAL NETWORKS BASED ON NODE CORRELATION. In '''''Proceedings of ICASSP 2024''''', Accepted

#Liu Z., etc. Understanding Data Augmentation from a Robustness Perspective. In '''''Proceedings of ICASSP 2024''''', Accepted

#Liu Z., etc. From Game Theory to Visual Recognition: Advancing DNN Robustness. In '''''Proceedings of ICASSP 2024''''', Accepted

#Jiang W., etc. EDOS: Diverse Outlier Sampling for Out-of-Distribution Detection. In '''''Proceedings of ICLR 2024''''', Accepted

#Liu M., Kirill K., Wang C. The Implementations and Applications of Elliptic Curve Cryptography. In '''''Proceedings of CATA 2024'''''( 39th International Conference on Computers and Their Applications), '''Best Paper Award'''.

#Feng S., Jin P., Wang C. CASE: Exploiting Intra-class Compactness and Inter-class Separability of Feature Embeddings for Out-of-Distribution Detection. In '''''Proceedings of AAAI 2024''''': 21081-21089

# Shanli Tan, Hao Cheng, Xiaohu Wu, Han Yu, Tiantian He, Yew Soon Ong, Chongjun Wang, Xiaofeng Tao. FedCompetitors: Harmonious Collaboration in Federated Learning with Competing Participants. In '''''Proceedings of AAAI 2024''''': 15231-15239

#Yuntao Du, Haiyang Yang, Mingcai Chen, Hongtao Luo, Juan Jiang, Chongjun Wang. Generation, Augmentation, and Alignment: A Pseudo-Source Domain Based Method for Source-Free Domain Adaptation. In '''''Proceedings of ACML 2023''''', Accepted

#吴骏等.一种基于算法机制设计的社会法则合成方法.'''''软件学报''''', 2024, 35(3): 1440-1465

2023

#Cao M.,Chen M., Song J., Fang C., Wang C. A Flexible Debiasing Framework for Fair Heterogeneous Information Network Embedding. In '''''Proceedings of ECAI 2023''''',  2023, 343-350

#Du Y., Jiang J., Luo H., Haiyang Yang , Mingcai Chen, and Chongjun Wang. Bidirectional View based Consistency Regularization for Semi-Supervised Domain Adaptation[J]. '''Transactions on Machine Learning Research''', 2023:1-17

#Cao M., Yuan J., Yu H., Zhang B. and Wang C. Self-supervised short text classification with heterogeneous graph neural networks.'''Expert Systems'''. 2023, 40(6):

#Cheng H. etc.Exploring Leximin Principle for Fair Core-Selecting Combinatorial Auctions: Payment Rule Design and Implementation.  In '''''Proceedings of IJCAI 2023''''', 2023, 2581-2588

#Ma C., Chen Y., Guo P., Guo J., Wang C., Guo Y. Symmetric Shape-Preserving Autoencoder for Unsupervised Real Scene Point Cloud Completion. In '''''Proceedings of CVPR 2023''''', 2023:13560-13569

#Yuan J., Yu H., Cao M., Song J., Xie J., Wang C. Self-Supervised Robust Graph Neural Networks against Noisy Graphs and Noisy Labels[J]. '''''A''''''''pplied Intelligence''', 2023: 53(21): 25154-25170

#Shuai Feng, Wenyu Jiang, Mingcai Chen, Yuntao Du, Hao Cheng, Chongjun Wang.CESED: Exploiting Hyperspherical Predefined Evenly-Distributed Class Centroids for OOD Detection.  In '''''Proceedings of SDM 2023''''':262-270

#Wenyu Jiang, Yuxin Ge, Hao Cheng, Mingcai Chen, Shuai Feng, Chongjun Wang. READ: Aggregating Reconstruction Error into Out-of-distribution Detection.  In '''''Proceedings of AAAI 2023''''', 2023: 14910-14918

#Mingcai Chen, Hao Cheng, Yuntao Du, Ming Xu, Wenyu Jiang, Chongjun Wang. Two Wrongs Don’t Make a Right: Combating Confirmation Bias in Learning with Label Noise. In '''''Proceedings of AAAI 2023''''', 2023:14765-14773

#Shuwei Qian, Chongjun Wang. COM: Contrastive Masked-attention model for incomplete multimodal learning. '''''Neural Networks'''''. 2023: 162: 443-455

#Cao M., Song J., Yuan J., Zhang B. and Wang C. Title: FairHELP: Fairness-Aware Heterogeneous Information Network Embedding for Link Prediction. In '''''Proceedings of DASFAA 2023''''', 320-330

#Xin Y., Luo S., Jin P., Du Y. and Wang C. Self-Training with Label-Feature-Consistency for Domain Adaptation. In '''''Proceedings of DASFAA 2023''''', 84-89

2022

#Zhang B. Xu M. Chen M., Chen M. Wang C. CopGAT: Co-propagation Self-supervised Graph Attention Network. In '''''Proceedings of ''''''''ISPA 2022''': 18-25

#Yu H., etc. DIPool: Degree-Induced Pooling for Hierarchical Graph Representation Learning. In '''''Proceedings of ''''''''ISPA 2022''': 220-227

#Changfeng Ma, Yang Yang, Jie Guo, Fei Pan, Chongjun Wang, Yanwen Guo. Unsupervised Point Cloud Completion and Segmentation by Generative Adversarial Autoencoding Network[C]. In '''''Proceedings of ''''' '''''NIPS 2022'''''

#Zhendong Liu, Wenyu Jiang, Yi Zhang, Chongjun Wang. FIXC: A Method for Data Distribution Shifts Calibration via Feature Importance[C].  In '''''Proceedings of ''''''''ICTAI 2022''': 153-160

#Yuxin Ge, Hongtao Luo, Chen-Xuan Fang, Zhi-Wei Zhu, Chongjun Wan. MRM: Site Selection via Mutil-round Meanshift for Global Fairness[C].  In '''''Proceedings of ICTAI 2022''''': 1245-1250

#Yu H., Yuan J., Yao Y., and Wang C. ''Not All Edges are Peers: Accurate Structure-Aware Graph Pooling Networks''[J]. '''''Neural Networks''''', 2022, 156: 58-66

#Xu M., Zhang B., Cao M., Yu H., Wang C. LSEGNN: Encode Local Topology Structure in Graph Neural Networks[C]. In '''''Proceedings of ''''''''IPCCC 2022''': 49-56

#Zhang Y., Shen J., Yu C., Wang C. Views Meet Labels: Personalized Relation Refinement Network for Multiview Multilabel Learning[J].'''''IEEE Multim'''''. 2022, 29(2): 104-113

#Wu J., Cao J., Sun H., and Wang C. A Bayesian Optimal Social Law Synthesizing Mechanism for Strategic Agents[J]. '''''JAAMAS''''', 2022, 36(2)

#Du Y., Luo H., Yang H.,  Jiang J. and etc. InCo: Intermediate Prototype Contrast for Unsupervised Domain Adaptation[C]. In '''''Proceedings of ''''' '''''ECML PKDD 2022''''': 642-658

#Ming Xu, Baoming Zhang, Jinliang Yuan, Meng Cao, Chongjun Wang. NED-GNN: Detecting and Dropping Noisy Edges in Graph Neural Networks[C]. In '''''Proceedings of ''''' '''''APWeb-WAIM 2022''''': 91-105

#Xu M. etc. NC-GNN: Consistent Neighbors of Nodes Help More in Graph Neural Networks[J].'''''Wireless Communications and Mobile Computing''''', Accepted

#Lu H., Yang J., Fang W., Song X. and Wang C. A DNNs-based fusion model for COVID-19 rumor detection from online social media[J]. '''''Data Technologies and Applications''''', 2022, 56(5): 806-824

#Cui F., Chen Y., Du Y., Cao Y. and Wang C. Joint Feature and Labeling Function Adaptation for Unsupervised Domain Adaptation[C]. In '''''Proceedings of  PAKDD2022''''', 432-446

#Zhang Y. Zhu Y., Zhang Z., Wang C. Collaboration based Multi-modal Multi-label Learning[J]. '''Applied Intelligence''', 2022, 52(12): 14204-14217

#Zhang Y. Chen M. Shen J. Wang C. Tailor Versatile Multi-modal Learning for Multi-label Emotion Recognition. In '''''Proceedings of  AAAI2022''''', 9100-9108

#Chen M. Du Y., Zhang Y., Qian S. Wang C. Semi-Supervised Learning with Multi-Head Co-Training. In '''''Proceedings of  AAAI2022''''', 6278- 6286

#Jinliang Yuan, Yirong Yao,  Ming Xu, Hualei Yu, Junyuan Xie and Chongjun Wang.Graph Structure Learning based on Feature[J].'''''IDA Journal''''', 2022, 26(6): 1539-1555

#Jinliang Yuan, Meng Cao, Hao Chen, Hualei Yu, Junyuan Xie and Chongjun Wang.A Unified Structure Learning Framework for Graph Attention Networks.[J] '''''NearalComputing''''', 2022, 495: 194-204

#Zhang Y., Zhang Z., Chen M., Lu H., Zhang L., Wang C. LAMB: A Novel Algorithm of Label Collaboration based Multi-Label Learning. '''''IDA Journal''''', 2022, 26(5): 1229-1245

#Du Y., Zhang R., Zhang X., Yao Y., Lu H., Wang C. Learning transferable and discriminative features for unsupervised domain adaptation. '''''IDA Journal''''', 2022, 26(2): 407-425.

2021

#Jinliang Yuan, Yirong Yao,  Ming Xu, Hualei Yu, Junyuan Xie and Chongjun Wang.Graph Structure Learning based on Feature.'''''IDA Journal''''', Accepted #Jinliang Yuan, Meng Cao, Hao Chen, Hualei Yu, Junyuan Xie and Chongjun Wang.A Unified Structure Learning Framework for Graph Attention Networks. '''''NearalComputing''''', Accepted #Huang Z., Zhang L., Zhang Y. Qian S. and Wang C. ransformer based Multi-output Regression Learning for Wastewater Treatment. In '''''Proceedings of  ICTAI 2021''''', ~~Accepted~~608-703

#Xiaowen Zhang, Yuntao Du, Rongbiao Xie and Chongjun Wang.Adversarial Separation Network for Cross-Network Node Classification. In '''''Proceedings of  CIKM2021''''', 2618-2626

#Yuntao Du, Jindong Wang, Wenjie Feng, Sinno Pan, Tao Qin, Renjun Xu, Chongjjun Wang. AdaRNN: Adaptive Learning and Forecasting of Time Series In '''''Proceedings of  CIKM2021''''', ~~2466~~402-~~2476~~411 #Jinliang Yuan, Hualei Yu, Meng Cao, Ming Xu, Junyuan Xie and Chongjun Wang.Semi-Supervised and Self-Supervised Classification with Multi-View Graph Neural Networks. In '''''Proceedings of  CIKM2021''''', ~~Accepted~~ 2466-2476 #Zhang J., Zhang B., Li K., Xu M. and Wang C. Parallel Counterfactual Regret Minimization in Crowdsourcing Imperfect-information Expanded Game. In '''''Proceedings of  ISPA 2021''''', ~~Accepted~~1444-1451 #Zhang J., Li K., Zhang B., Xu M. and Wang C. QMIMC: Q-Learning Model Based on Imperfect-information under Multi-agent Crowdtesting. In '''''Proceedings of  ISPA 2021''''', ~~Accepted~~1110-1117 #Xu M., Zhang L., Zhang B., Cao M., Yuan J. and Wang C. EPINE: Enhanced Proximity Information Network Embedding. In '''''Proceedings of  ISPA 2021''''', ~~Accepted~~ ~~#Zhang Y. LAMB: A Novel Algorithm of Label Collaboration based Multi~~143-~~Label Learning. '''''IDA Journal''''', Accepted~~150

#Cao M., Yuan J., Xu M., Yu H. and Wang C. Local Structural Aware Heterogeneous Information Network Embedding Based on Relational Self-Attention Graph Neural Networ. '''''IEEE ACCESS''''', 2021, 9: 88301-88312

#He Q., Qiao Y., Yang S.  and etc.Equitable Valuation of Crowdsensing for Machine Learning via Game Theory. In '''''Proceedings of  WASA 2021''''', ~~Accepted~~133-141 #He Q., Qiao Y., Yang S.  and etc. Robust and Efficient Mechanism Design for Heterogeneous Task Crowdsensing. In '''''Proceedings of  WASA 2021''''', ~~Accepted~~99-107 #Qiu C., Yao Y., and Du Y. Nested Dense Attention Network For Single Image Super-Resolution. In '''''Proceedings of  ICMR2021''''', ~~Accepted~~250-258

#Chen H.  and etc. False-name-proof mechanism for  time window coverage tasks in mobile crowdsensing. In '''''Proceedings of  ICCCN 2021''''', 1-10

#Yu Hualei, Yuan Jinliang, Cheng Hao, Cao Meng and Wang Chongjun. GSAPool: Gated Structure Aware Pooling for Graph Representation Learning. In '''''Proceedings of  IJCNN 2021''''', 1-8

#Du Y., Zhang R., Zhang X., Yao Y., Lu H., Wang C. Learning transferable and discriminative features for unsupervised domain adaptation. '''''IDA Journal''''', Accepted #Zhang Y., and etc. Label-specific Alignment with Adversarial Multi-view Representation. In '''''Proceedings of  ICME 2021'''''~~, Accepted~~

#Yu H., Luo C., Du Y., Cheng H., Cao M. and Wang C. Dual Multi-Scale Pooling for Graph Representation Learning. In '''''Proceedings of  DASFAA 2021''''': 375-384

#Du Y.,  Cao Y., Zhou Y., Chen Y., Zhang R. and Wang C. Self Separation and Misseparation Impact Minimization for Open-Set Domain Adaptation. In '''''Proceedings of  DASFAA 2021''''': 400-409

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