科研进展：修订间差异

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= '''研究成果''' =

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'''Selected Paper'''

2026

#Shuangjie Li, Baoming Zhang, Meng Cao, Jianqing Song, Xinyu Cheng, Chongjun Wang. HALF: A homophily-aware loss fusion for robust learning under label noise in heterophilic graphs[J]. '''''Information Science''''',  Accepted.

#Changfeng Ma, Pengxiao Guo, Shuangyu Yang, Yuanqi Li, Jie Guo, Chongjun Wang, Yanwen Guo. Weakly-Supervised Shape Multi-Completion of Point Clouds by Structural Decomposition[J]. I'''''EEE Trans. Vis. Comput. Graph.''''' 32(2): 2114-2126 (2026)

#Shuangjie Li, Baoming Zhang, Jianqing Song, Gaoli Ruan, Chongjun Wang, Junyuan Xie. TGSL: trade-off graph structure learning via multifaceted graph information bottleneck [J]. '''''Neural Networks''''', 2026, 194: 108125.

#Ming Guo, Feng Chen, Chongjun Wang. Temporal spatial semantic fusion network for audio-visual zero-shot learning [J]. '''''Intelligent Data Analysis''''', 2026.30(2): 373-387

#Changfeng Ma, Pengxiao Guo, Shuangyu Yang, Yuanqi Li, Jie Guo, Chongjun Wang, Yanwen Guo. Weakly-Supervised Shape Multi-Completion of Point Clouds by Structural Decomposition[J]. '''''IEEE Trans. Vis. Comput. Graph''.''' 2026, 32(2): 2114-2126

#Yanxi Hu, Yanjie Zhao, Yiwen Huang, Guangqi Dong, Baoming Zhang, Mingyu Di, Chongjun Wang.AdaInertia: Dynamic Tool Usage Inertia Control via Deep Q-Learning for Efficient LLM Agent Reasoning[C].  In '''''Proceedings of ''''''''''ICIC ''''2026''''', Accepted.

#Dian Kong, Chongjun Wang. RISC: Black-Box Risk-Bounded Score Calibration for Multilingual LLM-as-a-Judge[C]. In '''''Proceedings of''''''''''ICIC''''2026''''', Accepted.

#Zhongheng Wu, Chongjun Wang: Task Planning with Explicit Graphs and Learnable Constraints[C].  In '''''Proceedings of''''''''''ICIC''''2026''''', Accepted.

#Zhongheng Wu, Chongjun Wang: Self-Backtracking: Internalizing Search for Efficient LLM Agent Planning[C].  In '''''Proceedings of''''''''''ICIC''''2026''''',  Accepted.

#Tianyu Xu, Chao Li, Ning Zhao, Tengfei Liu, Jinghong Zhang, Chongjun Wang. Smaller, Faster, Less Secure? A Jailbreak Security Analysis of Lightweight Code Judges [C]. In '''''Proceedings of IJCNN'''''''''' 2026''''',  Accepted.

#Han Guan, Chongjun Wang. DESD: A Dual-Encoder Model with Adaptive Training for TCM Syndrome Differentiation [C]. In '''''Proceedings of IJCNN'''''''''' 2026''''',  Accepted.

2025

#Haoyang Chen, Dian Kong, Xiangyuan Li, Chongjun Wang. Multi‑round Q&A Hallucination Analysis of LLMs in Geographical Education [C] In '''''Proceedin'''gs '''of International Conference on Intelligent Computing''''', 2025.

#Yiqun Niu, Zhongheng Wu, and Chongjun Wang. Memory-Enhanced Cognitive Planning: A Framework for Improving Long-Term Planning in LLMs[C]. In  '''''Proceedings of International Conference on Intelligent Computing''''', 2025.

#Mingcai Chen, Yuntao Du, Wei Tang, Baoming Zhang, Chongjun Wang: LaplaceConfidence: A graph-based approach for learning with noisy labels[J]. '''''Intelligent Data Analysis'''''. 2025, 29(1): 45-58

#Changfeng Ma, Pengxiao Guo, Shuangyu Yang, Yinuo Chen, Jie Guo, Chongjun Wang, Yanwen Guo, Wenping Wang: Parameterize Structure With Differentiable Template for 3D Shape Generation[J]. '''''IEEE Trans. Vis. Comput. Graph'''''. 2025, 31(10): 8915-8927

#Ming Guo, Feng Chen, Chongjun Wang. Unified multi-modal aggregated-masked diffusion network for MRI synthesis with modality missing [C]. In '''''Proceedings of International Conference on Neural Information Processing''''', 2025.

#Qiangqiang He, Shuwei Qian, Chongjun Wang. FastVDT: fast transformer with optimized attention masks and positional encoding for visual dialogue [J]. '''''IET Computer Vision''''', 2025, 19(1).

#Haoyang Chen, Hengyang Lu, Yi Xin, Dian Kong, Chongjun Wang. Towards emotional insights in art: a knowledge-driven framework integrating artistic emotion knowledge into vision language models [C]. In '''''Proceedings of International Joint Conference on Neural Networks''''', 2025.

#Changhong Xia, Zhendong Liu, Feng Chen, Haodi Zhou, Chongjun Wang. Step-aware confidence estimation in natural language reasoning [C]. In '''''Proceedings of International Joint Conference on Neural Networks''''', 2025.

#Shuwei Qian, Zhicheng Fan, Qiangqiang He, Chongjun Wang. TIMM: a type-induced missing-aware mixture-of-experts model for imputing missing modalities [C]. In Proceedings of International Joint Conference on '''''Neural Networks''''', 2025.

#Shuangjie Li, Baoming Zhang, Jianqing Song, Gaoli Ruan, Chongjun Wang, Junyuan Xie. Graph neural networks with coarse- and fine-grained division for mitigating label noise and sparsity [J]. '''''Neural Networks''''', 2025, 187: 107338.

#Changfeng Ma, Ran Bi, Jie Guo, Chongjun Wang, Yanwen Guo. Sparse point cloud patches rendering via splitting 2D gaussians [C]. In '''''Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition''''', 2025.

#Jie Zhang, Yirong Yao, Wei He, Yiqun Niu, Chongjun Wang. Regret optimization experience replay in off-policy reinforcement learning [C]. In '''''Proceedings of IEEE International Conference on Acoustics, Speech and Signal Processing''''', 2025.

#Qiangqiang He, Shuwei Qian, Jie Zhang, Chongjun Wang. Inference retrieval-augmented multi-modal chain-of-thoughts reasoning for language models [C]. In '''''Proceedings of IEEE International Conference on Acoustics, Speech and Signal Processing''''', 2025.

#Haoyang Chen, Chongjun Wang, Yi Xin, Lei Zhang. Knowledge is powerful: art knowledge-driven framework for painting style classification integrating multimodal knowledge [C]. In '''''Proceedings of IEEE International Conference on Acoustics, Speech and Signal Processing''''', 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 [C]. In '''''Proceedings of the AAAI Conference on Artificial Intelligence''''', 2025, 39(12).

#MingCai Chen, Yuntao Du, Wenyu Jiang, Baoming Zhang, Shuai Feng, Yi Xin, Chongjun Wang. Robust logit adjustment for learning with long-tailed noisy data [C]. In '''''Proceedings of the AAAI Conference on Artificial Intelligence''''', 2025, 39(15).

#Yuntao Du, Siqi Luo, Yi Xin, MingCai Chen, Shuai Feng, Mujie Zhang, Chongjun Wang. Multi-source fully test-time adaptation [J]. '''Neural Networks''', 2025, 181: 106661.

#Hengyang Lu, Longkang Lin, Chenyou Fan, Chongjun Wang, Wei Fang, Xiaojun Wu. Knowledge-guided prompt-based continual learning: Aligning task-prompts through contrastive hard negatives[J]. '''''Knowledge-Based Systems''''', 2025, 310:113009.

#Hengyang Lu, Jia-ming Zhang, Yuntao Du, Chang Xia, Chongjun Wang, Wei Fang, Xiaojun Wu. Enhancing few-shot out-of-distribution intent detection by reducing attention misallocation[J]. '''''Neurocomputing''''', 2025, 626:129554.

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

#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

#Changfeng Ma, Yang Yang, Jie Guo, Mingqiang Wei, Chongjun Wang, Yanwen Guo, Wenping Wang.Collaborative Completion and Segmentation for Partial Point Clouds With Outliers[J].IEEE Trans. Vis. Comput. Graph, 2024, 30 (9): 6118-6129

#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

#~~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~~'''''~~，录用~~

#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

#~~MA C.~~, ~~etc~~. Unsupervised Point Cloud Completion and Segmentation by Generative Adversarial Autoencoding Network[C]. '''''~~NIPS 2022~~'''''~~, Accepted~~

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

#Liu Z., ~~etc~~. FIXC: A Method for Data Distribution Shifts Calibration via Feature Importance[C]. '''''ICTAI 2022'''~~'', Accepted~~

#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'''''

#Ge Y., ~~etc~~. MRM: Site Selection via Mutil-round Meanshift for Global Fairness[C]. '''''ICTAI 2022'''''~~, Accepted~~

#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

#Yu H., ~~etc~~. ''Not All Edges are Peers: Accurate Structure-Aware Graph Pooling Networks''[J]. '''''Neural Networks''''',~~ Accepted~~

#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

#Xu M., Zhang B., Cao M., Yu H., Wang C. LSEGNN: Encode Local Topology Structure in Graph Neural Networks.[C] '''''IPCCC 2022'''~~'', Accepted~~

#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'''''~~, Accepted~~

#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

#Xu ~~M. etc~~. NED-GNN: Detecting and Dropping Noisy Edges in Graph Neural Networks[C]. In '''''Proceedings of ''''' '''''APWeb-WAIM 2022'''''~~, Accepted~~

#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''''', ~~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. 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''''', ~~Accepted~~

#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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 = '''<span style="color:#800000"><span style="font-size:smaller">研究成果</span></span>''' =
@@ 第5行： / 第8行： @@
 '''<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">2026</span></span></p>
+#<span style="font-family:Times New Roman,Times,serif;"><span style="font-size:medium;">Shuangjie Li, Baoming Zhang, Meng Cao, Jianqing Song, Xinyu Cheng, Chongjun Wang.&nbsp;HALF: A homophily-aware loss fusion for robust learning under label noise in heterophilic graphs[J]. '''''Information Science''''', &nbsp;Accepted.</span></span>
+#<span style="font-family:Times New Roman,Times,serif;"><span style="font-size:medium;">Changfeng Ma,&nbsp;Pengxiao Guo,&nbsp;Shuangyu Yang,&nbsp;Yuanqi Li,&nbsp;Jie Guo,&nbsp;<mark data-markjs="true">Chongjun</mark>&nbsp;<mark data-markjs="true">Wang</mark>,&nbsp;Yanwen Guo. Weakly-Supervised Shape Multi-Completion of Point Clouds by Structural Decomposition[J].&nbsp;I'''''EEE Trans. Vis. Comput. Graph.'''''&nbsp;32(2):&nbsp;2114-2126&nbsp;(2026)</span></span>
+#<span style="font-family:Times New Roman,Times,serif;"><span style="font-size:medium;">Shuangjie Li, Baoming Zhang, Jianqing Song, Gaoli Ruan, Chongjun Wang, Junyuan Xie. TGSL: trade-off graph structure learning via multifaceted graph information bottleneck [J]. '''''Neural Networks''''', 2026, 194: 108125.</span></span>
+#<span style="font-family:Times New Roman,Times,serif;"><span style="font-size:medium;">Ming Guo, Feng Chen, Chongjun Wang. Temporal spatial semantic fusion network for audio-visual zero-shot learning [J]. '''''Intelligent Data Analysis''''', 2026.30(2): 373-387</span></span>
+#<span style="font-size:medium;"><span style="font-family:Times New Roman,Times,serif;">Changfeng Ma, Pengxiao Guo, Shuangyu Yang, Yuanqi Li, Jie Guo, Chongjun Wang, Yanwen Guo. Weakly-Supervised Shape Multi-Completion of Point Clouds by Structural Decomposition[J]. '''''IEEE Trans. Vis. Comput. Graph''.''' 2026, 32(2): 2114-2126</span></span>
+#<span style="font-family:Times New Roman,Times,serif;"><span style="font-size:medium;">Yanxi Hu, Yanjie Zhao, Yiwen Huang, Guangqi Dong, Baoming Zhang, Mingyu Di, Chongjun Wang</span></span><span style="font-size:medium;"><span style="font-family:Times New Roman,Times,serif;">.</span></span><font face="Times New Roman, Times, serif" size="3">AdaInertia: Dynamic Tool Usage Inertia Control via Deep Q-Learning for Efficient LLM Agent Reasoning[C]. &nbsp;In '''''<span style="font-size:medium;"><span style="font-family:Times New Roman,Times,serif;">Proceedings of&nbsp;</span></span>'''''</font>'''<font face="Times New Roman, Times, serif" size="3">''ICIC&nbsp;''</font>''<span style="font-size:medium;"><span style="font-family:Times New Roman,Times,serif;">2026</span></span>'''''<span style="font-family:Times New Roman,Times,serif;"><span style="font-size:medium;">, Accepted.</span></span>
+#<span style="font-family:Times New Roman,Times,serif;"><span style="font-size:medium;">Dian Kong, Chongjun Wang.&nbsp;RISC: Black-Box Risk-Bounded Score Calibration for Multilingual LLM-as-a-Judge[C]</span></span><span style="font-size:medium"><span style="font-family:Times New Roman,Times,serif">.</span></span><font face="Times New Roman, Times, serif"><font size="3">&nbsp;In '''''<span style="font-size:medium"><span style="font-family:Times New Roman,Times,serif">Proceedings of</span></span>'''''</font></font>'''<font face="Times New Roman, Times, serif"><font size="3">''ICIC''</font></font>''<span style="font-size:medium"><span style="font-family:Times New Roman,Times,serif">2026</span></span>'''''<span style="font-family:Times New Roman,Times,serif;"><span style="font-size:medium;">, Accepted.</span></span>
+#<span style="font-family:Times New Roman,Times,serif;"><span style="font-size:medium;">Zhongheng Wu, Chongjun Wang: Task Planning with Explicit Graphs and Learnable Constraints[C]. &nbsp;</span></span><font face="Times New Roman, Times, serif"><font size="3">In '''''<span style="font-size:medium"><span style="font-family:Times New Roman,Times,serif">Proceedings of</span></span>'''''</font></font>'''<font face="Times New Roman, Times, serif"><font size="3">''ICIC''</font></font>''<span style="font-size:medium"><span style="font-family:Times New Roman,Times,serif">2026</span></span>'''''<span style="font-family:Times New Roman,Times,serif;"><span style="font-size:medium;">, Accepted.</span></span>
+#<span style="font-family:Times New Roman,Times,serif;"><span style="font-size:medium;">Zhongheng Wu, Chongjun Wang: Self-Backtracking: Internalizing Search for Efficient LLM Agent Planning[C]. &nbsp;</span></span><font face="Times New Roman, Times, serif"><font size="3">In '''''<span style="font-size:medium"><span style="font-family:Times New Roman,Times,serif">Proceedings of</span></span>'''''</font></font>'''<font face="Times New Roman, Times, serif"><font size="3">''ICIC''</font></font>''<span style="font-size:medium"><span style="font-family:Times New Roman,Times,serif">2026</span></span>'''''<span style="font-family:Times New Roman,Times,serif;"><span style="font-size:medium;">, &nbsp;Accepted.</span></span>
+#<span style="font-size:medium;"><span style="font-family:Times New Roman,Times,serif;">Tianyu Xu, Chao Li, Ning Zhao, Tengfei Liu, Jinghong Zhang, Chongjun Wang. Smaller, Faster, Less Secure? A Jailbreak Security Analysis of Lightweight Code Judges [C]. In '''''Proceedings of IJCNN'''''</span></span>'''''&nbsp;2026'''''<span style="font-family:Times New Roman,Times,serif;"><span style="font-size:medium;">, &nbsp;Accepted.</span></span>
+#<span style="font-size:medium;"><span style="font-family:Times New Roman,Times,serif;">Han Guan, Chongjun Wang. DESD: A Dual-Encoder Model with Adaptive Training for TCM Syndrome Differentiation [C]. In '''''Proceedings of IJCNN'''''</span></span>'''''&nbsp;2026'''''<span style="font-family:Times New Roman,Times,serif;"><span style="font-size:medium;">, &nbsp;Accepted.</span></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-size:medium;"><span style="font-family:Times New Roman,Times,serif;">Haoyang Chen, Dian Kong, Xiangyuan Li, Chongjun Wang. Multi‑round Q&A Hallucination Analysis of LLMs in Geographical Education [C] In '''''Proceedin'''gs '''of International Conference on Intelligent Computing''''', 2025.&nbsp;</span></span>
+#<span style="font-family:Times New Roman,Times,serif;"><span style="font-size:medium;">Yiqun Niu, Zhongheng Wu, and Chongjun Wang. Memory-Enhanced Cognitive Planning: A Framework for Improving Long-Term Planning in LLMs[C]. In &nbsp;'''''Proceedings of International Conference on Intelligent Computing''''', 2025.</span></span>
+#<span style="font-family:Times New Roman,Times,serif;"><span style="font-size:medium;">Mingcai Chen, Yuntao Du, Wei Tang, Baoming Zhang, Chongjun Wang: LaplaceConfidence: A graph-based approach for learning with noisy labels[J]. '''''Intelligent Data Analysis'''''. 2025, 29(1): 45-58</span></span>
+#<span style="font-family:Times New Roman,Times,serif;"><span style="font-size:medium;">Changfeng Ma, Pengxiao Guo, Shuangyu Yang, Yinuo Chen, Jie Guo, Chongjun Wang, Yanwen Guo, Wenping Wang: Parameterize Structure With Differentiable Template for 3D Shape Generation[J]. '''''IEEE Trans. Vis. Comput. Graph'''''. 2025, 31(10): 8915-8927</span></span>
+#<span style="font-family:Times New Roman,Times,serif;"><span style="font-size:medium;">Ming Guo, Feng Chen, Chongjun Wang. Unified multi-modal aggregated-masked diffusion network for MRI synthesis with modality missing [C]. In '''''Proceedings of International Conference on Neural Information Processing''''', 2025.</span></span>
+#<span style="font-family:Times New Roman,Times,serif;"><span style="font-size:medium;">Qiangqiang He, Shuwei Qian, Chongjun Wang. FastVDT: fast transformer with optimized attention masks and positional encoding for visual dialogue [J]. '''''IET Computer Vision''''', 2025, 19(1).</span></span>
+#<span style="font-family:Times New Roman,Times,serif;"><span style="font-size:medium;">Haoyang Chen, Hengyang Lu, Yi Xin, Dian Kong, Chongjun Wang. Towards emotional insights in art: a knowledge-driven framework integrating artistic emotion knowledge into vision language models [C]. In '''''Proceedings of International Joint Conference on Neural Networks''''', 2025.</span></span>
+#<span style="font-family:Times New Roman,Times,serif;"><span style="font-size:medium;">Changhong Xia, Zhendong Liu, Feng Chen, Haodi Zhou, Chongjun Wang. Step-aware confidence estimation in natural language reasoning [C]. In '''''Proceedings of International Joint Conference on Neural Networks''''', 2025.</span></span>
+#<span style="font-family:Times New Roman,Times,serif;"><span style="font-size:medium;">Shuwei Qian, Zhicheng Fan, Qiangqiang He, Chongjun Wang. TIMM: a type-induced missing-aware mixture-of-experts model for imputing missing modalities [C]. In Proceedings of International Joint Conference on '''''Neural Networks''''', 2025.</span></span>
+#<span style="font-family:Times New Roman,Times,serif;"><span style="font-size:medium;">Shuangjie Li, Baoming Zhang, Jianqing Song, Gaoli Ruan, Chongjun Wang, Junyuan Xie. Graph neural networks with coarse- and fine-grained division for mitigating label noise and sparsity [J]. '''''Neural Networks''''', 2025, 187: 107338.</span></span>
+#<span style="font-family:Times New Roman,Times,serif;"><span style="font-size:medium;">Changfeng Ma, Ran Bi, Jie Guo, Chongjun Wang, Yanwen Guo. Sparse point cloud patches rendering via splitting 2D gaussians [C]. In '''''Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition''''', 2025.</span></span>
+#<span style="font-family:Times New Roman,Times,serif;"><span style="font-size:medium;">Jie Zhang, Yirong Yao, Wei He, Yiqun Niu, Chongjun Wang. Regret optimization experience replay in off-policy reinforcement learning [C]. In '''''Proceedings of IEEE International Conference on Acoustics, Speech and Signal Processing''''', 2025.</span></span>
+#<span style="font-family:Times New Roman,Times,serif;"><span style="font-size:medium;">Qiangqiang He, Shuwei Qian, Jie Zhang, Chongjun Wang. Inference retrieval-augmented multi-modal chain-of-thoughts reasoning for language models [C]. In '''''Proceedings of IEEE International Conference on Acoustics, Speech and Signal Processing''''', 2025.</span></span>
+#<span style="font-family:Times New Roman,Times,serif;"><span style="font-size:medium;">Haoyang Chen, Chongjun Wang, Yi Xin, Lei Zhang. Knowledge is powerful: art knowledge-driven framework for painting style classification integrating multimodal knowledge [C]. In '''''Proceedings of IEEE International Conference on Acoustics, Speech and Signal Processing''''', 2025.</span></span>
+#<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 [C]. In '''''Proceedings of the AAAI Conference on Artificial Intelligence''''', 2025, 39(12).</span></span>
+#<span style="font-family:Times New Roman,Times,serif;"><span style="font-size:medium;">MingCai Chen, Yuntao Du, Wenyu Jiang, Baoming Zhang, Shuai Feng, Yi Xin, Chongjun Wang. Robust logit adjustment for learning with long-tailed noisy data [C]. In '''''Proceedings of the AAAI Conference on Artificial Intelligence''''', 2025, 39(15).</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 [J]. '''Neural Networks''', 2025, 181: 106661.</span></span>
+#<span style="font-family:Times New Roman,Times,serif;"><span style="font-size:medium;">Hengyang Lu, Longkang Lin, Chenyou Fan, Chongjun Wang, Wei Fang, Xiaojun Wu. Knowledge-guided prompt-based continual learning: Aligning task-prompts through contrastive hard negatives[J]. '''''Knowledge-Based Systems''''', 2025, 310:113009.</span></span>
+#<span style="font-family:Times New Roman,Times,serif;"><span style="font-size:medium;">Hengyang Lu, Jia-ming Zhang, Yuntao Du, Chang Xia, Chongjun Wang, Wei Fang, Xiaojun Wu. Enhancing few-shot out-of-distribution intent detection by reducing attention misallocation[J]. '''''Neurocomputing''''', 2025, 626:129554.</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&nbsp;'''''Proceedings of NIPS 2024''''',&nbsp;Accepted</span></span>
+#<span style="font-family:Times New Roman,Times,serif;"><span style="font-size:medium;">Feng S., Wang C.&nbsp;</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&nbsp;Learning Systems.&nbsp;'''''Neural Networks'''''</span></span><span style="font-family:Times New Roman,Times,serif;"><span style="font-size:medium;">,&nbsp;2024，178:&nbsp;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. &nbsp;Some Can Be Better Than All: Multimodals Star Transformer for Visual Dialog. In&nbsp;'''''Proceedings of IEEE ICIP'''''<b>''&nbsp;2024''</b>,&nbsp;Accepted</span></span>
+#<span style="font-family:Times New Roman,Times,serif;"><span style="font-size:medium;">Zhang J., etc. &nbsp;Shapley-Optimized Reinforcement Learning for Human-Machine Collaboration Policy. In&nbsp;'''''Proceedings of&nbsp;'''''<b>''DASFAA 2024''</b>,&nbsp;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&nbsp;'''''Proceedings of ICME 2024''''',&nbsp;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&nbsp;'''''Proceedings of&nbsp;'''''<i>'''Coling'''</i>'''''&nbsp;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.&nbsp;'''Are Transformer-based Models More Robust than CNN-based Models?'''.&nbsp;'''Neural Networks''',&nbsp;&nbsp;2024，172:&nbsp;106091</span></span>
+#<span style="font-family:Times New Roman,Times,serif;"><span style="font-size:medium;">Li&nbsp;S., etc. SEEKING SIMILARITIES WHILE REMOVING DIFFERENCES: GRAPH NEURAL NETWORKS BASED ON NODE CORRELATION.&nbsp;In&nbsp;'''''Proceedings of ICASSP 2024''''',&nbsp;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.&nbsp;In&nbsp;'''''Proceedings of ICASSP 2024''''',&nbsp;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.&nbsp;In&nbsp;'''''Proceedings of ICASSP 2024''''',&nbsp;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.&nbsp;In&nbsp;'''''Proceedings of ICLR 2024''''',&nbsp;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&nbsp;'''''Proceedings of CATA 2024'''''( 39th International Conference on Computers and Their Applications),&nbsp;'''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.&nbsp;In&nbsp;'''''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;">&nbsp;Shanli Tan, Hao Cheng, Xiaohu Wu, Han Yu, Tiantian He, Yew Soon Ong, Chongjun Wang, Xiaofeng Tao.&nbsp;FedCompetitors: Harmonious Collaboration in Federated Learning with Competing Participants.&nbsp;In&nbsp;'''''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-size:medium;"><span style="font-family:Times New Roman,Times,serif;">Changfeng Ma, Yang Yang, Jie Guo, Mingqiang Wei, Chongjun Wang, Yanwen Guo, Wenping Wang.Collaborative Completion and Segmentation for Partial Point Clouds With Outliers[J].IEEE Trans. Vis. Comput. Graph, 2024, 30 (9): 6118-6129</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''''',&nbsp;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.&nbsp;A Flexible Debiasing Framework for Fair Heterogeneous Information Network Embedding. In</span></span>&nbsp;<span style="font-family:Times New Roman,Times,serif;"><span style="font-size:medium;">'''''Proceedings of ECAI 2023''''',&nbsp;&nbsp;2023,&nbsp;343-350</span></span>
+#<span style="font-family:Times New Roman,Times,serif;"><span style="font-size:medium;">Du Y., Jiang J.,&nbsp;Luo H., Haiyang Yang , Mingcai Chen, and Chongjun Wang. Bidirectional View based Consistency Regularization for Semi-Supervised&nbsp;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.&nbsp;Self-supervised short text classification with heterogeneous graph neural networks.'''Expert Systems'''</span></span>.&nbsp;<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.&nbsp;&nbsp;In&nbsp;'''''Proceedings of IJCAI 2023''''',&nbsp;2023,&nbsp;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.&nbsp;In&nbsp;'''''Proceedings of CVPR 2023''''',&nbsp;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.&nbsp;Self-Supervised Robust Graph Neural Networks against Noisy Graphs and Noisy Labels[J].&nbsp;'''''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.&nbsp;&nbsp;In&nbsp;'''''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.&nbsp;READ: Aggregating Reconstruction Error into Out-of-distribution Detection.&nbsp;&nbsp;In&nbsp;'''''Proceedings of AAAI 2023''''', 2023:&nbsp;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.&nbsp;Two Wrongs Don’t Make a Right: Combating Confirmation Bias in Learning with Label Noise.&nbsp;In&nbsp;'''''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.&nbsp;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.&nbsp;In&nbsp;'''''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.&nbsp;In&nbsp;'''''Proceedings of DASFAA 2023''''',&nbsp;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>
-#<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'''''，录用</span></span>
+#<span style="font-size:medium;"><span style="font-family:Times New Roman,Times,serif;">Zhang B. Xu M. Chen M., Chen M. Wang C.&nbsp;CopGAT: Co-propagation Self-supervised Graph Attention Network.&nbsp;In&nbsp;'''''Proceedings of&nbsp;'''''<i>'''ISPA 2022'''</i>:&nbsp;18-25</span></span>
-#<span style="font-size:medium;"><span style="font-family:Times New Roman,Times,serif;">MA C., etc. Unsupervised Point Cloud Completion and Segmentation by Generative Adversarial Autoencoding Network[C].&nbsp;'''''NIPS 2022''''',&nbsp;Accepted&nbsp;</span></span>
+#<span style="font-size:medium;"><span style="font-family:Times New Roman,Times,serif;">Yu H., etc.&nbsp;DIPool: Degree-Induced Pooling for Hierarchical Graph Representation Learning.&nbsp;In&nbsp;'''''Proceedings of&nbsp;'''''<i>'''ISPA 2022'''</i>: 220-227</span></span>
-#<span style="font-size:medium;"><span style="font-family:Times New Roman,Times,serif;">Liu Z., etc.&nbsp;FIXC: A Method for Data Distribution Shifts Calibration via Feature Importance[C].&nbsp;'''''ICTAI 2022''''',&nbsp;Accepted</span></span>
+#<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;">&nbsp;</span></span><span style="font-size:medium;"><span style="font-family:Times New Roman,Times,serif;">In&nbsp;'''''Proceedings of&nbsp;'''''&nbsp;'''''NIPS 2022'''''</span></span>
-#<span style="font-size:medium;"><span style="font-family:Times New Roman,Times,serif;">Ge Y., etc.&nbsp;MRM: Site Selection via Mutil-round Meanshift for Global Fairness[C].</span></span>&nbsp;<span style="font-size:medium;"><span style="font-family:Times New Roman,Times,serif;">'''''ICTAI 2022''''',&nbsp;Accepted</span></span>
+#<span style="font-size:medium;"><span style="font-family:Times New Roman,Times,serif;">Zhendong Liu, Wenyu Jiang, Yi Zhang, Chongjun Wang.&nbsp;FIXC: A Method for Data Distribution Shifts Calibration via Feature Importance[C].&nbsp;</span></span><span style="font-family:Times New Roman,Times,serif;"><span style="font-size:medium;">&nbsp;</span></span><span style="font-size:medium;"><span style="font-family:Times New Roman,Times,serif;">In&nbsp;'''''Proceedings of&nbsp;'''''<i>'''ICTAI 2022'''</i>: 153-160</span></span>
-#<span style="font-family:Times New Roman,Times,serif;"><span style="font-size:medium;">Yu H., etc.&nbsp;''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''''',&nbsp;Accepted</span></span>
+#<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.&nbsp;MRM: Site Selection via Mutil-round Meanshift for Global Fairness[C].</span></span>&nbsp;<span style="font-family:Times New Roman,Times,serif;"><span style="font-size:medium;">&nbsp;</span></span><span style="font-size:medium;"><span style="font-family:Times New Roman,Times,serif;">In&nbsp;'''''Proceedings of&nbsp;ICTAI 2022''''': 1245-1250</span></span>
-#<span style="font-size:medium;"><span style="font-family:Times New Roman,Times,serif;">Xu M., Zhang B., Cao M., Yu H., Wang C.&nbsp;LSEGNN: Encode Local Topology Structure in Graph Neural Networks.[C]&nbsp;'''''IPCCC 2022''''',&nbsp;Accepted</span></span>
+#<span style="font-family:Times New Roman,Times,serif;"><span style="font-size:medium;">Yu H., Yuan J., Yao Y., and Wang C.&nbsp;''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-size:medium;"><span style="font-family:Times New Roman,Times,serif;">Xu M., Zhang B., Cao M., Yu H., Wang C.&nbsp;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;">&nbsp;</span></span><span style="font-size:medium;"><span style="font-family:Times New Roman,Times,serif;">In&nbsp;'''''Proceedings of&nbsp;'''''<i>'''IPCCC 2022'''</i>: 49-56</span></span>
 #<span style="font-family:Times New Roman,Times,serif;"><span style="font-size:medium;">Zhang Y.,&nbsp;Shen J.,&nbsp;Yu C., Wang C.&nbsp;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):&nbsp;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.&nbsp;A Bayesian Optimal Social Law Synthesizing Mechanism for Strategic Agents[J].&nbsp;'''''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.,&nbsp;&nbsp;Jiang J. and&nbsp;etc.&nbsp;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;">&nbsp;</span></span><span style="font-size:medium;"><span style="font-family:Times New Roman,Times,serif;">In&nbsp;'''''Proceedings of&nbsp;'''''</span></span><span style="font-family:Times New Roman,Times,serif;"><span style="font-size:medium;">&nbsp;'''''ECML PKDD 2022''''', Accepted</span></span>
+#<span style="font-family:Times New Roman,Times,serif;"><span style="font-size:medium;">Du Y., Luo H., Yang H.,&nbsp;&nbsp;Jiang J. and&nbsp;etc.&nbsp;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;">&nbsp;</span></span><span style="font-size:medium;"><span style="font-family:Times New Roman,Times,serif;">In&nbsp;'''''Proceedings of&nbsp;'''''</span></span><span style="font-family:Times New Roman,Times,serif;"><span style="font-size:medium;">&nbsp;'''''ECML PKDD 2022''''': 642-658</span></span>
-#<span style="font-family:Times New Roman,Times,serif;"><span style="font-size:medium;">Xu M. etc.&nbsp;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;">.&nbsp;</span></span><span style="font-size:medium;"><span style="font-family:Times New Roman,Times,serif;">In&nbsp;'''''Proceedings of&nbsp;'''''</span></span><span style="font-family:Times New Roman,Times,serif;"><span style="font-size:medium;">&nbsp;'''''APWeb-WAIM 2022''''', Accepted</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.&nbsp;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;">.&nbsp;</span></span><span style="font-size:medium;"><span style="font-family:Times New Roman,Times,serif;">In&nbsp;'''''Proceedings of&nbsp;'''''</span></span><span style="font-family:Times New Roman,Times,serif;"><span style="font-size:medium;">&nbsp;'''''APWeb-WAIM 2022''''': 91-105</span></span>
 #<span style="font-family:Times New Roman,Times,serif;"><span style="font-size:medium;">Xu M. etc.&nbsp;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>&nbsp;<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;">, 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>&nbsp;<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>&nbsp;<span style="font-size:medium;"><span style="font-family:Times New Roman,Times,serif;">In&nbsp;'''''Proceedings of &nbsp;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.&nbsp;Collaboration based Multi-modal Multi-label Learning[J].&nbsp;'''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. Zhu Y., Zhang Z., Wang C.&nbsp;Collaboration based Multi-modal Multi-label Learning[J].&nbsp;'''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>&nbsp;<span style="font-size:medium;"><span style="font-family:Times New Roman,Times,serif;">In&nbsp;'''''Proceedings of &nbsp;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.&nbsp;Semi-Supervised Learning with Multi-Head Co-Training</span></span>.&nbsp;<span style="font-size:medium;"><span style="font-family:Times New Roman,Times,serif;">In&nbsp;'''''Proceedings of &nbsp;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, &nbsp;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''''', Accepted</span></span>
+#<span style="font-size:medium;"><span style="font-family:Times New Roman,Times,serif;">Jinliang Yuan, Yirong Yao, &nbsp;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,&nbsp;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., Zhang Z., Chen M., Lu H., Zhang L., Wang C.&nbsp;LAMB: A Novel Algorithm of Label Collaboration based Multi-Label Learning.&nbsp;'''''IDA Journal''''', 2022, 26(5): 1229-1245</span></span>

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