“科研进展”的版本间的差异
来自南京大学IIP
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= '''<span style="color:#800000"><span style="font-size:smaller">研究成果</span></span>''' = | = '''<span style="color:#800000"><span style="font-size:smaller">研究成果</span></span>''' = | ||
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'''<span style="font-family:微软雅黑; font-size:medium">Selected Paper</span>''' | '''<span style="font-family:微软雅黑; font-size:medium">Selected Paper</span>''' | ||
+ | <p style="text-align:center"><span style="font-family:Times New Roman,Times,serif"><span style="font-size:larger">2025</span></span></p> | ||
+ | #<span style="font-family:Times New Roman,Times,serif;"><span style="font-size:medium;">Baoming Zhang, MingCai Chen, Jianqing Song, Shuangjie Li, Jie Zhang, Chongjun Wang. Normalize then Propagate: Efficient Homophilous Regularization for Few-shot Semi-Supervised Node Classification. In '''''Proceedings of AAAI 2025''''', Accepted</span></span> | ||
+ | #<span style="font-size:medium;"><span style="font-family:Times New Roman,Times,serif;">MingCai Chen, Yuntao Du., Wenyu Jiang, Baoming Zhang, Shuai Feng, Yi Xin, Chongjun Wang. Robust Logit Adjustment for Learning with Long-Tailed Noisy Data</span></span><span style="font-size:medium;"><span style="font-family:Times New Roman,Times,serif;">. </span></span><span style="font-family:Times New Roman,Times,serif;"><span style="font-size:medium;">In '''''Proceedings of AAAI 2025''''', Accepted</span></span> | ||
+ | <p style="text-align:center"><span style="font-family:Times New Roman,Times,serif"><span style="font-size:larger">2024</span></span></p> | ||
+ | #<span style="font-family:Times New Roman,Times,serif;"><span style="font-size:medium;">Song J., etc. Similarity-Navigated Conformal Prediction for Graph Neural Networks. In '''''Proceedings of NIPS 2024''''', Accepted</span></span> | ||
+ | #<span style="font-family:Times New Roman,Times,serif;"><span style="font-size:medium;">Feng S., Wang C. </span></span><span style="font-size:medium;"><span style="font-family:Times New Roman,Times,serif;">When an Extra Rejection Class Meets Out-of-Distribution Detection in Long-tailed Image Classification Learning Systems. '''''Neural Networks'''''</span></span><span style="font-family:Times New Roman,Times,serif;"><span style="font-size:medium;">, 2024,178: 106485</span></span> | ||
+ | #<span style="font-family:Times New Roman,Times,serif;"><span style="font-size:medium;">He Q, .Jin C., Xia Y., Wang C. and Wang C. Some Can Be Better Than All: Multimodals Star Transformer for Visual Dialog. In '''''Proceedings of IEEE ICIP'''''<b>'' 2024''</b>, Accepted</span></span> | ||
+ | #<span style="font-family:Times New Roman,Times,serif;"><span style="font-size:medium;">Zhang J., etc. Shapley-Optimized Reinforcement Learning for Human-Machine Collaboration Policy. In '''''Proceedings of '''''<b>''DASFAA 2024''</b>, Accepted</span></span> | ||
+ | #<span style="font-family:Times New Roman,Times,serif;"><span style="font-size:medium;">Guo M., etc. SMILE: Spiking Multi-modal Interactive Label-guided Enhancement Network for Emotion Recognition. In '''''Proceedings of ICME 2024''''', Accepted</span></span> | ||
+ | #<span style="font-family:Times New Roman,Times,serif;"><span style="font-size:medium;">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 '''''<i>'''Workshop PML4LRs'''</i>, Accepted</span></span> | ||
+ | #<span style="font-family:Times New Roman,Times,serif;"><span style="font-size:medium;">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 '''''<i>'''Coling'''</i>''''' 2024: 16855-16866'''''</span></span> | ||
+ | #<span style="font-family:Times New Roman,Times,serif;"><span style="font-size:medium;">Liu Z., Qian S., Xia C., Wang C. '''Are Transformer-based Models More Robust than CNN-based Models?'''. '''Neural Networks''', 2024,172: 106091</span></span> | ||
+ | #<span style="font-family:Times New Roman,Times,serif;"><span style="font-size:medium;">Li S., etc. SEEKING SIMILARITIES WHILE REMOVING DIFFERENCES: GRAPH NEURAL NETWORKS BASED ON NODE CORRELATION. In '''''Proceedings of ICASSP 2024''''', Accepted</span></span> | ||
+ | #<span style="font-family:Times New Roman,Times,serif;"><span style="font-size:medium;">Liu Z., etc. Understanding Data Augmentation from a Robustness Perspective. In '''''Proceedings of ICASSP 2024''''', Accepted</span></span> | ||
+ | #<span style="font-family:Times New Roman,Times,serif;"><span style="font-size:medium;">Liu Z., etc. From Game Theory to Visual Recognition: Advancing DNN Robustness. In '''''Proceedings of ICASSP 2024''''', Accepted</span></span> | ||
+ | #<span style="font-family:Times New Roman,Times,serif;"><span style="font-size:medium;">Jiang W., etc. EDOS: Diverse Outlier Sampling for Out-of-Distribution Detection. In '''''Proceedings of ICLR 2024''''', Accepted</span></span> | ||
+ | #<span style="font-size:medium;"><span style="font-family:Times New Roman,Times,serif;">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'''.</span></span> | ||
+ | #<span style="font-family:Times New Roman,Times,serif;"><span style="font-size:medium;">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'''''</span></span>: <span style="font-family:Times New Roman,Times,serif;"><span style="font-size:medium;">21081-21089</span></span> | ||
+ | #<span style="font-size:medium;"><span style="font-family:Times New Roman,Times,serif;"> 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</span></span> | ||
+ | #<span style="font-size:medium;"><span style="font-family:Times New Roman,Times,serif;">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. Mach. Learn. 2024,113(6): 3611-3631</span></span> | ||
+ | #<span style="font-family:Times New Roman,Times,serif;"><span style="font-size:medium;">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</span></span> | ||
+ | <p style="text-align:center"><span style="font-family:Times New Roman,Times,serif"><span style="font-size:larger">2023</span></span></p> | ||
+ | #<span style="font-family:Times New Roman,Times,serif;"><span style="font-size:medium;">Cao M.,Chen M., Song J., Fang C., Wang C. A Flexible Debiasing Framework for Fair Heterogeneous Information Network Embedding. In</span></span> <span style="font-family:Times New Roman,Times,serif;"><span style="font-size:medium;">'''''Proceedings of ECAI 2023''''', 2023, 343-350</span></span> | ||
+ | #<span style="font-family:Times New Roman,Times,serif;"><span style="font-size:medium;">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</span></span> | ||
+ | #<span style="font-family:Times New Roman,Times,serif;"><span style="font-size:medium;">Cao M., Yuan J., Yu H., Zhang B. and Wang C. Self-supervised short text classification with heterogeneous graph neural networks.'''Expert Systems'''</span></span>. <span style="font-family:Times New Roman,Times,serif;"><span style="font-size:medium;">2023, 40(6):</span></span> | ||
+ | #<span style="font-family:Times New Roman,Times,serif;"><span style="font-size:medium;">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</span></span> | ||
+ | #<span style="font-family:Times New Roman,Times,serif;"><span style="font-size:medium;">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</span></span> | ||
+ | #<span style="font-family:Times New Roman,Times,serif;"><span style="font-size:medium;">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'''''<i>'''pplied Intelligence'''</i>, 2023: 53(21): 25154-25170</span></span> | ||
+ | #<span style="font-family:Times New Roman,Times,serif;"><span style="font-size:medium;">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</span></span> | ||
+ | #<span style="font-family:Times New Roman,Times,serif;"><span style="font-size:medium;">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</span></span> | ||
+ | #<span style="font-family:Times New Roman,Times,serif;"><span style="font-size:medium;">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</span></span> | ||
+ | #<span style="font-size:medium;"><span style="font-family:Times New Roman,Times,serif;">Shuwei Qian, Chongjun Wang. COM: Contrastive Masked-attention model for incomplete multimodal learning. '''''Neural Networks'''''. 2023: 162: 443-455</span></span> | ||
+ | #<span style="font-family:Times New Roman,Times,serif;"><span style="font-size:medium;">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</span></span> | ||
+ | #<span style="font-family:Times New Roman,Times,serif;"><span style="font-size:medium;">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</span></span> | ||
<p style="text-align:center"><span style="font-family:Times New Roman,Times,serif"><span style="font-size:larger">2022</span></span></p> | <p style="text-align:center"><span style="font-family:Times New Roman,Times,serif"><span style="font-size:larger">2022</span></span></p> | ||
− | #<span style="font- | + | #<span style="font-size:medium;"><span style="font-family:Times New Roman,Times,serif;">Zhang B. Xu M. Chen M., Chen M. Wang C. CopGAT: Co-propagation Self-supervised Graph Attention Network. In '''''Proceedings of '''''<i>'''ISPA 2022'''</i>: 18-25</span></span> |
− | #<span style="font-size:medium;"><span style="font-family:Times New Roman,Times,serif;"> | + | #<span style="font-size:medium;"><span style="font-family:Times New Roman,Times,serif;">Yu H., etc. DIPool: Degree-Induced Pooling for Hierarchical Graph Representation Learning. In '''''Proceedings of '''''<i>'''ISPA 2022'''</i>: 220-227</span></span> |
− | #<span style="font- | + | #<span style="font-size:medium;"><span style="font-family:Times New Roman,Times,serif;">Changfeng Ma, Yang Yang, Jie Guo, Fei Pan, Chongjun Wang, Yanwen Guo. Unsupervised Point Cloud Completion and Segmentation by Generative Adversarial Autoencoding Network[C].</span></span><span style="font-family:Times New Roman,Times,serif;"><span style="font-size:medium;"> </span></span><span style="font-size:medium;"><span style="font-family:Times New Roman,Times,serif;">In '''''Proceedings of ''''' '''''NIPS 2022'''''</span></span> |
− | + | #<span style="font-size:medium;"><span style="font-family:Times New Roman,Times,serif;">Zhendong Liu, Wenyu Jiang, Yi Zhang, Chongjun Wang. FIXC: A Method for Data Distribution Shifts Calibration via Feature Importance[C]. </span></span><span style="font-family:Times New Roman,Times,serif;"><span style="font-size:medium;"> </span></span><span style="font-size:medium;"><span style="font-family:Times New Roman,Times,serif;">In '''''Proceedings of '''''<i>'''ICTAI 2022'''</i>: 153-160</span></span> | |
− | #<span style="font- | + | #<span style="font-size:medium;"><span style="font-family:Times New Roman,Times,serif;">Yuxin Ge, Hongtao Luo, Chen-Xuan Fang, Zhi-Wei Zhu, Chongjun Wan. MRM: Site Selection via Mutil-round Meanshift for Global Fairness[C].</span></span> <span style="font-family:Times New Roman,Times,serif;"><span style="font-size:medium;"> </span></span><span style="font-size:medium;"><span style="font-family:Times New Roman,Times,serif;">In '''''Proceedings of ICTAI 2022''''': 1245-1250</span></span> |
− | #<span style="font- | + | #<span style="font-family:Times New Roman,Times,serif;"><span style="font-size:medium;">Yu H., Yuan J., Yao Y., and Wang C. ''Not All Edges are Peers: Accurate Structure-Aware Graph Pooling Networks''</span></span><span style="font-size:medium;"><span style="font-family:Times New Roman,Times,serif;">[J]</span></span><span style="font-family:Times New Roman,Times,serif;"><span style="font-size:medium;">. '''''Neural Networks''''', 2022, 156: 58-66</span></span> |
− | #<span style="font-family:Times New Roman,Times,serif;"><span style="font-size:medium;"> | + | #<span style="font-size:medium;"><span style="font-family:Times New Roman,Times,serif;">Xu M., Zhang B., Cao M., Yu H., Wang C. LSEGNN: Encode Local Topology Structure in Graph Neural Networks[C].</span></span><span style="font-family:Times New Roman,Times,serif;"><span style="font-size:medium;"> </span></span><span style="font-size:medium;"><span style="font-family:Times New Roman,Times,serif;">In '''''Proceedings of '''''<i>'''IPCCC 2022'''</i>: 49-56</span></span> |
− | + | #<span style="font-family:Times New Roman,Times,serif;"><span style="font-size:medium;">Zhang Y., Shen J., Yu C., Wang C. Views Meet Labels: Personalized Relation Refinement Network for Multiview Multilabel Learning</span></span><span style="font-size:medium;"><span style="font-family:Times New Roman,Times,serif;">[J]</span></span><span style="font-family:Times New Roman,Times,serif;"><span style="font-size:medium;">.</span></span><span style="font-family:Times New Roman,Times,serif;"><span style="font-size:medium;">'''''IEEE Multim'''''. 2022, 29(2): 104-113</span></span> | |
− | + | #<span style="font-size:medium;"><span style="font-family:Times New Roman,Times,serif;">Wu J., Cao J., Sun H., and Wang C. A Bayesian Optimal Social Law Synthesizing Mechanism for Strategic Agents[J]. '''''JAAMAS'''''</span></span><span style="font-family:Times New Roman,Times,serif;"><span style="font-size:medium;">, 2022, 36(2)</span></span> | |
− | + | #<span style="font-family:Times New Roman,Times,serif;"><span style="font-size:medium;">Du Y., Luo H., Yang H., Jiang J. and etc. InCo: Intermediate Prototype Contrast for Unsupervised Domain Adaptation</span></span><span style="font-size:medium;"><span style="font-family:Times New Roman,Times,serif;">[C]</span></span><span style="font-family:Times New Roman,Times,serif;"><span style="font-size:medium;">.</span></span><span style="font-family:Times New Roman,Times,serif;"><span style="font-size:medium;"> </span></span><span style="font-size:medium;"><span style="font-family:Times New Roman,Times,serif;">In '''''Proceedings of '''''</span></span><span style="font-family:Times New Roman,Times,serif;"><span style="font-size:medium;"> '''''ECML PKDD 2022''''': 642-658</span></span> | |
+ | #<span style="font-family:Times New Roman,Times,serif;"><span style="font-size:medium;">Ming Xu, Baoming Zhang, Jinliang Yuan, Meng Cao, Chongjun Wang. NED-GNN: Detecting and Dropping Noisy Edges in Graph Neural Networks</span></span><span style="font-size:medium;"><span style="font-family:Times New Roman,Times,serif;">[C]</span></span><span style="font-family:Times New Roman,Times,serif;"><span style="font-size:medium;">. </span></span><span style="font-size:medium;"><span style="font-family:Times New Roman,Times,serif;">In '''''Proceedings of '''''</span></span><span style="font-family:Times New Roman,Times,serif;"><span style="font-size:medium;"> '''''APWeb-WAIM 2022''''': 91-105</span></span> | ||
+ | #<span style="font-family:Times New Roman,Times,serif;"><span style="font-size:medium;">Xu M. etc. NC-GNN: Consistent Neighbors of Nodes Help More in Graph Neural Networks</span></span><span style="font-size:medium;"><span style="font-family:Times New Roman,Times,serif;">[J]</span></span><span style="font-family:Times New Roman,Times,serif;"><span style="font-size:medium;">.'''''Wireless Communications and Mobile Computing''''', Accepted</span></span> | ||
+ | #<span style="font-family:Times New Roman,Times,serif;"><span style="font-size:medium;">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</span></span><span style="font-size:medium;"><span style="font-family:Times New Roman,Times,serif;">[J]</span></span><span style="font-family:Times New Roman,Times,serif;"><span style="font-size:medium;">.</span></span> <span style="font-size:medium;"><span style="font-family:Times New Roman,Times,serif;">'''''Data Technologies and Applications'''''</span></span><span style="font-family:Times New Roman,Times,serif;"><span style="font-size:medium;">, 2022, 56(5): 806-824</span></span> | ||
+ | #<span style="font-family:Times New Roman,Times,serif;"><span style="font-size:medium;">Cui F., Chen Y., Du Y., Cao Y. and Wang C. Joint Feature and Labeling Function Adaptation for Unsupervised Domain Adaptation</span></span><span style="font-size:medium;"><span style="font-family:Times New Roman,Times,serif;">[C]</span></span><span style="font-family:Times New Roman,Times,serif;"><span style="font-size:medium;">.</span></span> <span style="font-size:medium;"><span style="font-family:Times New Roman,Times,serif;">In '''''Proceedings of PAKDD2022'''''</span></span><span style="font-family:Times New Roman,Times,serif;"><span style="font-size:medium;">, 432-446</span></span> | ||
+ | #<span style="font-family:Times New Roman,Times,serif;"><span style="font-size:medium;">Zhang Y. Zhu Y., Zhang Z., Wang C. Collaboration based Multi-modal Multi-label Learning[J]. '''Applied Intelligence'''</span></span><span style="font-family:Times New Roman,Times,serif;"><span style="font-size:medium;">, 2022, 52(12): 14204-14217</span></span> | ||
#<span style="font-family:Times New Roman,Times,serif;"><span style="font-size:medium;">Zhang Y. Chen M. Shen J. Wang C. Tailor Versatile Multi-modal Learning for Multi-label Emotion Recognition.</span></span> <span style="font-size:medium;"><span style="font-family:Times New Roman,Times,serif;">In '''''Proceedings of AAAI2022'''''</span></span><span style="font-family:Times New Roman,Times,serif;"><span style="font-size:medium;">, 9100-9108</span></span> | #<span style="font-family:Times New Roman,Times,serif;"><span style="font-size:medium;">Zhang Y. Chen M. Shen J. Wang C. Tailor Versatile Multi-modal Learning for Multi-label Emotion Recognition.</span></span> <span style="font-size:medium;"><span style="font-family:Times New Roman,Times,serif;">In '''''Proceedings of AAAI2022'''''</span></span><span style="font-family:Times New Roman,Times,serif;"><span style="font-size:medium;">, 9100-9108</span></span> | ||
#<span style="font-family:Times New Roman,Times,serif;"><span style="font-size:medium;">Chen M. Du Y., Zhang Y., Qian S. Wang C. Semi-Supervised Learning with Multi-Head Co-Training</span></span>. <span style="font-size:medium;"><span style="font-family:Times New Roman,Times,serif;">In '''''Proceedings of AAAI2022'''''</span></span><span style="font-family:Times New Roman,Times,serif;"><span style="font-size:medium;">, 6278- 6286</span></span> | #<span style="font-family:Times New Roman,Times,serif;"><span style="font-size:medium;">Chen M. Du Y., Zhang Y., Qian S. Wang C. Semi-Supervised Learning with Multi-Head Co-Training</span></span>. <span style="font-size:medium;"><span style="font-family:Times New Roman,Times,serif;">In '''''Proceedings of AAAI2022'''''</span></span><span style="font-family:Times New Roman,Times,serif;"><span style="font-size:medium;">, 6278- 6286</span></span> | ||
− | #<span style="font-size:medium;"><span style="font-family:Times New Roman,Times,serif;">Jinliang Yuan, Yirong Yao, Ming Xu, Hualei Yu, Junyuan Xie and Chongjun Wang.Graph Structure Learning based on Feature</span></span><span style="font-family:Times New Roman,Times,serif;"><span style="font-size:medium;">.'''''IDA Journal''''', | + | #<span style="font-size:medium;"><span style="font-family:Times New Roman,Times,serif;">Jinliang Yuan, Yirong Yao, Ming Xu, Hualei Yu, Junyuan Xie and Chongjun Wang.Graph Structure Learning based on Feature[J]</span></span><span style="font-family:Times New Roman,Times,serif;"><span style="font-size:medium;">.'''''IDA Journal''''', 2022, 26(6): 1539-1555</span></span> |
− | #<span style="font-size:medium;"><span style="font-family:Times New Roman,Times,serif;">Jinliang Yuan, Meng Cao, Hao Chen, Hualei Yu, Junyuan Xie and Chongjun Wang.A Unified Structure Learning Framework for Graph Attention Networks. '''''NearalComputing''''', 2022, 495: 194-204</span></span> | + | #<span style="font-size:medium;"><span style="font-family:Times New Roman,Times,serif;">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</span></span> |
− | #<span style="font-family:Times New Roman,Times,serif;"><span style="font-size:medium;">Zhang Y. LAMB: A Novel Algorithm of Label Collaboration based Multi-Label Learning. '''''IDA Journal''''', | + | #<span style="font-family:Times New Roman,Times,serif;"><span style="font-size:medium;">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</span></span> |
− | # | + | #<span style="font-family:Times New Roman,Times,serif;"><span style="font-size:medium;">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.</span></span> |
<p style="text-align:center"><span style="font-family:Times New Roman,Times,serif"><span style="font-size:larger">2021</span></span></p> | <p style="text-align:center"><span style="font-family:Times New Roman,Times,serif"><span style="font-size:larger">2021</span></span></p> | ||
#<span style="font-size:medium;"><span style="font-family:Times New Roman,Times,serif;">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''''', 608-703</span></span> | #<span style="font-size:medium;"><span style="font-family:Times New Roman,Times,serif;">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''''', 608-703</span></span> |
2024年12月10日 (二) 09:25的版本
研究成果
Selected Paper
2025
- Baoming Zhang, MingCai Chen, Jianqing Song, Shuangjie Li, Jie Zhang, Chongjun Wang. Normalize then Propagate: Efficient Homophilous Regularization for Few-shot Semi-Supervised Node Classification. In Proceedings of AAAI 2025, Accepted
- MingCai Chen, Yuntao Du., Wenyu Jiang, Baoming Zhang, Shuai Feng, Yi Xin, Chongjun Wang. Robust Logit Adjustment for Learning with Long-Tailed Noisy Data. In Proceedings of AAAI 2025, Accepted
2024
- Song J., etc. Similarity-Navigated Conformal Prediction for Graph Neural Networks. In Proceedings of NIPS 2024, Accepted
- Feng S., Wang C. When an Extra Rejection Class Meets Out-of-Distribution Detection in Long-tailed Image Classification Learning Systems. Neural Networks, 2024,178: 106485
- He Q, .Jin C., Xia Y., Wang C. and Wang C. Some Can Be Better Than All: Multimodals Star Transformer for Visual Dialog. In Proceedings of IEEE ICIP 2024, Accepted
- 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: 16855-16866
- Liu Z., Qian S., Xia C., Wang C. Are Transformer-based Models More Robust than CNN-based Models?. Neural Networks, 2024,172: 106091
- 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. Mach. Learn. 2024,113(6): 3611-3631
- 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]. Applied 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
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2021
- 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, 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, 402-411
- 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, 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, 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, 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, 143-150
- 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, 133-141
- He Q., Qiao Y., Yang S. and etc. Robust and Efficient Mechanism Design for Heterogeneous Task Crowdsensing. In Proceedings of WASA 2021, 99-107
- Qiu C., Yao Y., and Du Y. Nested Dense Attention Network For Single Image Super-Resolution. In Proceedings of ICMR2021, 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
- Zhang Y., and etc. Label-specific Alignment with Adversarial Multi-view Representation. In Proceedings of ICME 2021
- 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
- Du Y., Tan Z., Zhang X., Yao Y., Yu H. and Wang C. Unsupervised domain adaptation with unified joint distribution alignment regular. In Proceedings of DASFAA 2021: 449-464
- Du Y., Chen Y., Cui F., Zhang X. and Wang C. Cross-domain error minimization for unsupervised domain adaptation regular. In Proceedings of DASFAA 2021: 429-448
- Zhang Y., Shen J., Yu C. and Wang C.. Relation-aware Alignment Attention Network for Multi-view Multi-label Learning regular. In Proceedings of DASFAA 2021: 465-482
- Zhang Y., Shen J., Zhang Z. and Wang C. Partial Modal Conditioned Gans for Multi-modal Multi-label Learning with Arbitrary Modal-missing Regular. In Proceedings of DASFAA 2021: 413-428
2020
- Shen J., Zhang Y., Yu C., Wang C. Multi-view Multi-label Learning with Dual-Attention Networks for Stroke Screen. In Proceedings of BIBM 2020, 1124-1128
- Pang B., Bao H., Wang C. Feature-Aware Attentive Variational Auto-Encoder for Top-N Recommendation. In Proceedings of ICTAI 2020, 53-58
- Qiao Y., Wu J., Cheng H., Huang Z., Wang C. Truthful Mechanisms Design for Multi-region Mobile Crowdsensing[J]. Wireless Communications and Mobile Computing. 2020 (8834983) :1-15
- Chen Q, Du Y, Tan Z, Zhang Y and Wang C. Unsupervised Domain Adaptation with Joint Domain-Adversarial Reconnstructionn Networks[C]. In Proceedings of ECML - PKDD 2020, 640-656
- Zhang Y,, Zhang Z., Zhu Y., Zhang L., and Wang C. Discriminative Multi-label Moel Reuse for Multi-label Learning[C]. In Proceedings of APWeb - WAIM 2020, 725-739
- Cao M., Ma Q., Zhu K., Xu M., Wang C..Heterogeneous Information Network Embedding with Convolutional Graph Attention Networks[C]. In Proceedings of IJCNN 2020, 1-8
- Zhang Y., Shen J., Zhang Z., Zhang L., Wang C.. Rethinking Modal-oriented Label Correlations for Multi-modal Multi-label Learning[C]. In Proceedings of IJCNN 2020, 1-8
- Wu J , Zhang L , Wang C and etc. A Multi-unit Profit Competitive Mechanism for Cellular Traffic Offloading[C]. In Proceedings of AAAI2020, 2020: 2294-2301
- Cheng H., Zhang W., Zhang Y., Zhang L. and Wanng C.. Fast core pricing algorithm for path auctions[J]. JAAMAS, 2020, 34(1)
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2019
- Zhang Y., Zhang Z., Cheng H., Lu H., Zhang L., Wang C., Xie J.. Win-win Cooperation: A Novel Dual-Modal Dual-Label Algorithm for Membrane Proteins Function Pre-screen[C]. In Proceedings of BIBM 2019, San Diego, California, USA, Nov18-21, 2019: 102-106
- Zhang L., Ma X., Shi P.Bi S and Wang C.RegCNN: A Deep Multi-output Regression Method for Wastewater Treatment[C]. In Proceedings of ICTAI 2019. November 4-6 2019, Portland, Oregon
- Liu F., Lei C., Liu H., Wang C. A Probabilistic Forward Search Value Iteration Algorithm for POMDP[C]. In Proceedings of ICTAI 2019. November 4-6 2019, Portland, Oregon
- Pan Y., Gan J., Ran X., Wang C. Multi-Granularity Position-Aware Convolutional Memory Network for Aspect-Based Sentiment Analysis[C]. In Proceedings of ICTAI 2019. November 4-6 2019, Portland, Oregon
- Zhu K, Cao M, Lu H. MALP: A More Effective Meta-Paths Based Link Prediction Method in Partially Aligned Heterogeneous Social Networks[C]. In Proceedings of ICTAI 2019. November 4-6 2019, Portland, Oregon
- Cao M., Ma X., Wang C.. Heterogeneous Information Network Embedding with Meta-path Based Graph Attention Networks[C]. In Proceedings of ICANN 2019: 622-634
- Luo X., Ran X., Sun W., Xu Y., Wang C.. A Label-Specific Attention-Based Network with Regularized Loss for Multi-label Classification[C]. In Proceedings of ICANN 2019: 731-742
- Gao Y., Wang C.. Symmetrical Adversarial Training Nets: A Novel Model for Text Generation[C]. In Proceedings of ICANN 2019: 269-280
- Ran X., Pan Y., Sun W. and Wang C.. Learn to Select via Hierarchical Gate Mechanism for Aspect-Based Sentiment Analysis[C]. In Proceedings of IJCAL 2019: 5160-5167
- Qiao Y., Wu J., Zhang L. and Wang C..Mechanism Design for Cross-Market Task Crowdsourcing[C]. In 2019 IEEE/ACM International Symposium On Quality of Service(IWQoS), 9:1-9:9
- Zhan Q., Zhuo, W., Hu W., Emeryx S., Wang C. and Liu Y..Opinion Mining in Online Media for Public Health Campaigns[J]. Journal of Medical Imaging and Health Informatics, 2019,9(7): 1448-1452
- Zhang Y., Wang C. and etc..Many Can Be Better Than All: A Novel Instance-oriented algorithm for Multi-modal Multi-lable Problem[C]. In Proceedings of ICME 2019, 838-843
- Sun W., Ran X.. Luo X., and Wang C..An Efficient Framework by Topic Model for Multi-label Text Classification[C]. In Proceedings of IJCNN 2019, 1-7
- Xu Y., Ran X.. Sun W., Luo X. and Wang C..Gated Neural Network with Regularized Loss for Multi-label Text Classification[C]. In Proceedings of IJCNN 2019, 1-8
- Zeng C., Zhang Y.. Lu H. and Wang C..GADGET: Using Gated GRU for Biomedical Event Trigger Detection[C]. In Proceedings of IJCNN 2019, 1-8
- Wu J., Zhang Y., Qiao Y., Zhang L., Wang C., Xie J.Multi-unit Budget Feasible Mechanisms for Cellular Traffic Offloading[C]. In Proceedings of AAMAS 2019, 1693-1701
- Lu Q., Xu Y, Yang R., Li N., and Wang C.. Serial and Parallel Recurrent Convolutional Neural Networks for Biomedical Named Entity Recoginiton[C]. In Proceedings of DASFAA 2019, Chiang Mai, Thailand, Apr. 22-25, 2019: 439-443
- Ran X., Pan Y., Sun W. and Wang C.. Modeling More Globally: A Hierarchical Attention Network via Multi-Task Learning for Aspect-Based Sentiment Analysis[C]. In Proceedings of DASFAA 2019, Chiang Mai, Thailand, Apr. 22-25, 2019: 505-509
- Peng Y, Huang E., Chen G., Wang C and Xie J. A General Framework for Multi-Label Learning Towards Class Correlations and Class Imbalance[J]. Intelligent Data Analysis, 2019, 23(2): 371-383
- Lu H., Kang N., Li Y., Zhan Q., Xie J., and Wang C. Utilizing Recurrent Neural Network for Topic Discovery in Short Text Scenarios[J]. Intelligent Data Analysis, 2019, 23(2): 259-277
- YangJ, Yang R., Lu H., Wang C., Xie J. Multi-Entity Aspect-Based Sentiment Analysis with Context, Entity, Aspect Memory and Dependency Information[J]. ACM Transactions on Asian and Low-resource Language Information Processing, 2019, 47: 1-22
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2018
- Lu H, Li Y, Tang C, Wang C and Xie J. Constructing Pseudo Documents with Semantic Siliarity for Short Text Topic Descovery. In Proceedings of ICONIP 2018, SiemReap, Cambodia. Dec.13-16,2018:437-449
- QiaoY, SONG Y, WANG N, and etc, A False-name-proof Protocol for Multicast Routing Auctions. In Proceedings of ISPA2018, Melbourne, Australia, Dec. 11-13, 2018: 72-79.
- QiaoY, GU Y, Wu J and etc, A Truthful Profit-oriented Mechanism for Mobile Crowdsensing. In Proceedings of ISPA2018, Melbourne, Australia, Dec. 11-13, 2018:64-71.
- Feng Y., Tang J., Wang C., XieJ. CuAPSS: A Hybrid CUDA Solution for AllPairsSimilarity Search. In Proceedings of ICA3PP 2018. Guangzhou, China Nov. 15-17, 2018: 421–436
- Lu H., Ge G., Li Y., Wang C., Xie J. Exploiting Global Semantic Similarity Biterms for Short-text Topic Discovery.In Proceedings of ICTAI 2018. Volos, Greece: 975-982
- Chen Q., Du Y, Xu M., Wang C. HetEOTL: An Algorithm for Heterogeneous Online Transfer Learning.In P'roceedings of ICTAI 2018..Volos, Greece: 350-357
- Du Y.. Chen Q., Lu H., Wang C. Online Single Homogeneous Source Transfer Learning Based on AdaBoos.In Proceedings of ICTAI 2018. Volos, Greece:344-349
- Feng Y., Tang J., Liu M., Wang C., Xie J. Fast Document Cosine Similarity Self-Join on GPUs. In Proceedings of ICTAI 2018. Volos, Greece:205-212
- Chen G, Peng Y, Wang C and etc. Multi- Label Classification via Label -Toci Pairs. In Proceedings of APWEB\WAIM-18, Macao. Jul.23-25, 2018:32-44
- Cheng H, Zhang L, Wu J and Wang C, Optimal Constraint Coolection for Core-Selecting Path Mechanism. In Proceedings of AAMAS 2018,2018:41-49.
- Zhan Q., Emery S., Yu, P., Wang C., Liu Y. Different Anti-Vaping Campaigns Attracting the Same Opponent Community. IEEE TRANSACTIONS ON NANOBIOSCIENCE. 2018, 17(4): 409-416
- Yang J, Yang R and Xie J. Multi-Entity Aspect-Based Sentiment Analysis with Context, Entity and Aspect Memory. In Proceedings of AAAI 2018. New Oleans, Louisiana. USA.2018:6029-6036
- 王崇骏,史忠植,常量,王文剑. 多智能体系统及应用.北京:清华大学出版社, ISBN: 978-7- 302- 48777-7.
2017
- Zhan Q, Tan L, Sherry E, Philip Y, Wang C. Community Detection on Anti-vaping Campaign Audience. In Proceedings of BIBM-17. Kansan City, MO. USA.:891-894
- Peng Y, Tang C, Chen G, Xie J, Wang C. Multi-Label Learning by Exploiting label Correlations for TCM Diagnosing Parkinson's Disease. In Proceedings of BIBM-17. Kansan City, MO. USA.:590-594
- Peng Y, Chen G, Zhai C, Wang C, Xie J. Multi-Label Learning by Exploiting label Correlations with LDA. In Proceedings of ICTAI-17. Boston, MA. USA.:168-174
- Xie L, Wang L, Lu H, Li N, Wang C. Topics may Evolve: Using Complaint Date for Analysis. In Proceedings of ICTAI-17. Boston, MA. USA.:1296-1303
- 王崇骏. 大数据价值期望探讨. 大数据. 2017,4:91-103【约稿】
- Liu L, Zhang Y, Liu M, Wang C, Wang J. A-MapCG: An Adaptive MapReduce Framework for GPUs. In Proceedings of NAS-17. Shen Zhen, China, 2017.:1-8
- Qiao Y, Wu J, Zhang L, Wang C. Viral Marketing for Digital Goods in Social Networks[C]. In Proceedings of APWEB\WAIM-17. Beijing, China, 2017.:377-390
- Xu M, Cai Y, Wu H, Wang C, Li N. Intensity of Relationship between Words: Using Word Triangles in Topic Discovery for Short Texts. In Proceedings of APWEB\WAIM-17. Beijing, China, 2017.:642-649
- Wang N, Wu J, Wang C, Zhang L. Approximation for Strategic Single Point Weighted Steiner Tree Problem[C]. In Proceedings of ICA-17. Beijing, China, 2017.
- Wu J, Zhang L, Wang C, Xie J. Mechanism Design for Social Law Synthesis under Incomplete Information[C]. In Proceedings of AAMAS-17. São Paulo, Brazil, 2017: 1757-1759.
- Wu J, Zhang L, Wang C, Xie J. Synthesizing Optimal Social Laws for Strategical Agents via Bayesian Mechanism Design[C]. In Proceedings of AAMAS-17. São Paulo, Brazil, 2017: 1214-1222.
- Lu H, Xie L, Kang N, Wang C and Xie J. Don't Forget the Quantifiable Relationship between Words: Using Recurrent Neural Network for Short Text Topic Discovery[C]. In Proceedings of AAAI-17. San Francisco, USA, 2017: 1192-1198.
- Jiang J, Shi P, An B, Yu J, Wang C. Measuring the social influences of scientist groups based on multiple types of collaboration relations[J].Information Processing and Management, 2017, 53(1): 1-20.
2016
- 王崇骏.大数据思维与应用攻略.北京:机械工业出版社, ISBN: 978-7- 111- 54261- 2.
- Li Y, Li H, Wang Q, Wang C and Fan X. Traditional Chinese Medicine Formula Evaluation Using Multi-instance Multi-label Framework[C]. In Proceedings of BIBM-16. Shenzhen, China, 2016: 484-488.
- Zhan Q, Zhang J, Yu P, Emery S and Xie J. Inferring Social Influence of Anti-Tobacco Mass Media Campaigns[C]. In Proceedings of BIBM-16. Shenzhen, China, 2016: 805-812.
- Liu L, Liu M, Wang C, Wang J. Compile-time Automatic Synchronization Insertion and Redundant Synchronization Elimination for GPU Kernels[C]. In Proceedings of ICPADS-16. Wuhan, China, 2016: 826-834.
- Jiang L, Lu H, Xu M and Wang C. Biterm Pseudo Document Topic Model for Short Text[C]. In Proceedings of ICTAI-16. San Jose, USA, 2016: 865-872.
- Feng H, Zhang W, Wu H and Wang C. Web Page Segmentation and its Application for Web Information Crawling[C]. In Proceedings of ICTAI-16. San Jose, USA, 2016: 598-605.
- Zhang L, Chen H, Wu J, Wang C, Xie J. False-Name-Proof Mechanisms for Path Auctions in Social Networks[C]. In Proceedings of ECAI-16. Hague, Holland, 2016: 1485-1492.
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2015
- Zhang L, Wang C and Xie J. Cost optimal planning with multi valued landmarks[J]. AI Communications, 2015, 28(3): 579-590.
- Liu F, Wang C and Luo B. PCFBPI: A point clustering feature based policy iteration algorithm[C]. In Proceedings of ICTAI-15. Vietri sul Mare, Italy, 2015: 119-124.
- Wang Q, Li H and Wang C. Using hierarchical clustering algorithm to detect community structure in Traditional Chinese Medicine Formula network[C]. In Proceedings of ICTAI-15. Vietri sul Mare, Italy, 2015: 132-138.
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- Zhan Q, Zhang J, Wang S, Yu P and Xie J. Influence Maximization Across Partially Aligned Heterogenous Social Networks[C]. In Proceedings of PAKDD-15. Ho Chi Minh City, Vietnam, 2015: 1099-1105.
- Peng Y, Fang M, Wang C, and Xie J. Entropy Chain Multi-Label Classifiers for Traditional Medicine Diagnosing Parkinson’s Disease[C]. In Proceedings of BIBM-15. Washington DC, USA, 2015: 1722-1724.
- Liu L, Liu M, Wang C. A low overhead storage format for SPmV on GPU systems[C]. In Proceedings of ICPADS-15. Melbourne, Australia, 2015: 733-741.
2014
- 胡云,王崇骏,吴骏,谢俊元,李慧.微博网络上的重叠社群发现与全局表示[J].软件学报, 2014, 25(12): 2824-2836.
- Zhang L, Wang C and Xie J. Cost optimal planning with LP-based multi-valued landmark heuristic[C]. In Proceedings of AAMAS-14. Paris, France, 2014: 509-516.
- Yang J, Jiang L, Wang C and Xie J. Multi-Label Emotion Classification for Tweets in Weibo: Method and Application[C]. In Proceedings of ICTAI-14. Limassol, Cyprus, 2014: 424-428.
- Liu F, Li H and Wang C. nso-HSVI: A not-so-optimistic Heuristic Search Value Iteration Algorithm for POMDPs[C]. In Proceedings of ICTAI-14. Limassol, Cyprus, 2014: 689-693.
- Fang M, Xiao Y, Wang C and Xie J. Multi-Label classification: Dealing with Imbalance by Combining Labels[C]. In Proceedings of ICTAI-14. Limassol, Cyprus, 2014: 233-237.
- Zhang C, Zhang L, Wang C and Xie J. Text Summarization Based on Sentence Selection with Semantic Representation[C]. In Proceedings of ICTAI-14. Limassol, Cyprus, 2014: 584-590.
- Wu J, Wang C and Xie J. Automated Model Revision for Coordinated Open Systems[C]. In Proceedings of ICTAI-14. Limassol, Cyprus, 2014: 984-988.
2013
- Liu Y, Pan L, Jia X, Wang C, Xie J. Three-Way Decision Based Overlapping Community Detection[C]. In Proceedings of RSKT-13. Halifax, Canada, 2013: 279-290.
- Hu Y, Zhou Z, Xie J, Wang C. An Algorithm for Mining Top K Influential Community Based Evolutionary Outliers in Temporal Dataset[C]. In Proceedings of ICTAI-13. Washington DC, USA, 2013: 524-531.
- Zhan Q, Yang H, Wang C, Xie J. CPP-SNS: A Solution to Influence Maximization Problem Under Cost Control[C]. In Proceedings of ICTAI-13. Washington DC, USA, 2013: 849-856.
- Pan L, Wang C, Xie J. Spin-Glass Model based Local Community Detection Method in Social Networks[C]. In Proceedings of ICTAI-13. Washington DC, USA, 2013: 108-115.
- Zhan Y, Wu J, Wang C, Liu M, Xie J. On the complexity of undominated core and farsighted solution concepts in coalitional games[C]. In Proceedings of AAMAS-13. Saint Paul, USA, 2013: 1177-1178.
- Zhang L, Wang C, Wu J, Liu M, Xie J. Planning Multi-Valued Landmarks[C]. In Proceedings of AAAI-13. Bellevue, USA, 2013: 1653-1654.
- 胡云,王崇骏,谢俊元,周作建.社群演化的稳健迁移估计及演化离群点检测[J].软件学报, 2013, 24(11): 2710-2720.
2012
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- Pan L, Dai C, Wang C, Xie J and Liu M. Overlapping Community Detection via leader-based Local Expansion in Social Networks[C]. In Proceedings of ICTAI-12. Athens, Greece, 2012: 397-404.
- 王崇骏,吴骏,张雷等.联盟规范系统及其规范能力极限[J].软件学报, 2012, 23(7): 1796-1804.
- 潘磊,金杰,王崇骏等.社会网络中基于局部信息的边社区挖掘[J].电子学报, 2012, 40(11): 2255-2263.
2011
- Pan L, Wang C, Xie J, Liu M. Detecting Link Communities Based on Local Approach[C]. In Proceedings of ICTAI-11. Boca Raton, USA, 2011: 884-886.
- Jin J, Pan L, Wang C, Xie J. A Center-based Community Detection Method In Weighted Networks[C]. In Proceedings of ICTAI-11. Boca Raton, USA, 2011: 513-518.
- Wang C, Wu J, Wang Z, Xie J. Strategic Ability Updating in Concurrent Games by Coalitional Commitment[J]. IEEE Transactions on SMC(Part B), 2011, 41(6): 1442-1457.
- Wu J, Wang C, Xie J. A Framework for Coalitional Normative Systems[C]. In Proceedings of AAMAS-11. Taipei, 2011: 259-266.
- 胡云,谢俊元,王崇骏.基于组合码字的矢量量化编码算法[J].南京大学学报自然科学, 2011, 47(5): 559-565.
- 张玉华,华浩明,范欣生,王崇骏,段金廒.基于关联规则方法探讨胸痹心痛方中十八反药对的应用规律[J].中国中药杂志, 2011, 36(24): 3544-3547.
2010
- Zhang L, Wu J, Wang C. A Factor-Based Model for Context-Sensitive Skill Rating Systems[C]. In Proceedings of ICTAI-10. Arras, France, 2010: 249-255.
- Zhang L, Wu J, Wang C. Multi-relational Topic Model for Social Recommendation[C]. In Proceedings of ICTAI-10. Arras, France, 2010: 349-350.
- 韩进,蔡圣闻,王崇骏等.一种基于π^t演算的安全协议建模方法[J].计算机研究与发展, 2010, 47(4): 613-620.
- 朱小虎,宋文军,王崇骏等.用于社团发现的Girvan-Newman改进算法[J].计算机科学与探索, 2010, 04(12): 1101-1108.
- 宋文军,刘红星,王崇骏等.以图频繁集为基础的核心节点发现[J].计算机科学与探索, 2010, 4(1): 82-88.
- 吴涛,王崇骏,谢俊元.基于部分可观测马尔可夫决策过程的网络入侵意图识别研究[J].南京大学学报自然科学, 2010, 46(2): 122-130.
- 孙正,宋文军,王崇骏等.用于社团分析的差异性度量方法[J].南京大学学报自然科学, 2010, 46(5): 528-534.
- 刘志杰,王崇骏.一个基于复合攻击路径图的报警关联算法[J].南京大学学报自然科学, 2010, 46(1): 56-63.
2009
- Wu J, Wang C, Zhang L, et al. Coalitional planning in game-like domains via ATL model checking[C]. In Proceedings of ICTAI-09. Newark, USA, 2009: 645-652.
- Zhou Q, Wang C, Xie J. CORE: A Trust Model for Agent Coalition Formation[C]. In Proceedings of ICNC and FSKD-09. Tianjin, China, 2009: 11-17.
- Wu J, Wang C, Tu X, Xie J, Pu L. Temporal Reasoning in Urban Growth Simulation[C]. In Proceedings of RSKT-09. Gold Coast, Australia, 2009: 529-537.
- Wu J, Wang C, Tu X, Xie J. On the Logic of Cellular Reactive Systems[C]. In Proceedings of IAT-09. Milan, Italy, 2009: 241-248.
- 周清华,谢俊元,王崇骏.多Agent对抗环境下联盟形成的信任模型[J].计算机科学与探索, 2009, 3(5): 491-497.