Chongjun Wang

ORCID

Publication Activity (10 Years)

Years Active: 2011-2024
Publications (10 Years): 136

Top Venues

Publications

Zhendong Liu, Wenyu Jiang, Ming Guo, Chongjun Wang
From Game Theory to Visual Recognition: Advancing DNN Robustness. ICASSP (2024)
Changfeng Ma, Yang Yang, Jie Guo, Mingqiang Wei, Chongjun Wang, Yanwen Guo, Wenping Wang
Collaborative Completion and Segmentation for Partial Point Clouds With Outliers. IEEE Trans. Vis. Comput. Graph. 30 (9) (2024)
Zhendong Liu, Changhong Xia, Wei He, Chongjun Wang
Trustworthiness and Self-awareness in Large Language Models: An Exploration through the Think-Solve-Verify Framework. LREC/COLING (2024)
Shuai Feng, Pengsheng Jin, Chongjun Wang
CASE: Exploiting Intra-class Compactness and Inter-class Separability of Feature Embeddings for Out-of-Distribution Detection. AAAI (2024)
Wenyu Jiang, Hao Cheng, Mingcai Chen, Chongjun Wang, Hongxin Wei
DOS: Diverse Outlier Sampling for Out-of-Distribution Detection. ICLR (2024)
Shuai Feng, Chongjun Wang
When an extra rejection class meets out-of-distribution detection in long-tailed image classification. Neural Networks 178 (2024)
Zhendong Liu, Shuwei Qian, Changhong Xia, Chongjun Wang
Are transformer-based models more robust than CNN-based models? Neural Networks 172 (2024)
Shuangjie Li, Baoming Zhang, Jianqing Song, Yifan Xia, Junyuan Xie, Chongjun Wang
Seeking Similarities While Removing Differences: Graph Neural Networks Based on Node Correlation. ICASSP (2024)
Yuntao Du, Haiyang Yang, Mingcai Chen, Hongtao Luo, Juan Jiang, Yi Xin, Chongjun Wang
Generation, augmentation, and alignment: a pseudo-source domain based method for source-free domain adaptation. Mach. Learn. 113 (6) (2024)
Zhendong Liu, Jie Zhang, Qiangqiang He, Chongjun Wang
Understanding Data Augmentation From A Robustness Perspective. ICASSP (2024)
Zhendong Liu, Yuanbi Nie, Yingshui Tan, Xiangyu Yue, Qiushi Cui, Chongjun Wang, Xiaoyong Zhu, Bo Zheng
Safety Alignment for Vision Language Models. CoRR (2024)
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. AAAI (2024)
Jianqing Song, Jianguo Huang, Wenyu Jiang, Baoming Zhang, Shuangjie Li, Chongjun Wang
Similarity-Navigated Conformal Prediction for Graph Neural Networks. CoRR (2024)
Hao Cheng, Shufeng Kong, Yanchen Deng, Caihua Liu, Xiaohu Wu, Bo An, Chongjun Wang
Exploring Leximin Principle for Fair Core-Selecting Combinatorial Auctions: Payment Rule Design and Implementation. CoRR (2023)
Jie Zhang, Hao Chen, Cheng Jin, Qiangqiang He, Wei He, Chongjun Wang
Predicting Potential Risk: Cerebral Stroke via Regret Minimization. Int. J. Intell. Syst. 2023 (2023)
Changfeng Ma, Yinuo Chen, Pengxiao Guo, Jie Guo, Chongjun Wang, Yanwen Guo
Symmetric Shape-Preserving Autoencoder for Unsupervised Real Scene Point Cloud Completion. CVPR (2023)
Mingcai Chen, Yuntao Du, Wei Tang, Baoming Zhang, Hao Cheng, Shuwei Qian, Chongjun Wang
LaplaceConfidence: a Graph-based Approach for Learning with Noisy Labels. CoRR (2023)
Meng Cao, Jinliang Yuan, Hualei Yu, Baoming Zhang, Chongjun Wang
Self-supervised short text classification with heterogeneous graph neural networks. Expert Syst. J. Knowl. Eng. 40 (6) (2023)
Zhendong Liu, Jie Zhang, Qiangqiang He, Chongjun Wang
Understanding Data Augmentation from a Robustness Perspective. CoRR (2023)
Shuwei Qian, Chongjun Wang
COM: Contrastive Masked-attention model for incomplete multimodal learning. Neural Networks 162 (2023)
Shuai Feng, Wenyu Jiang, Mingcai Chen, Yuntao Du, Hao Cheng, Yuxin Ge, Chongjun Wang
CESED: Exploiting Hyperspherical Predefined Evenly-Distributed Class Centroids for OOD Detection. SDM (2023)
Yi Xin, Siqi Luo, Pengsheng Jin, Yuntao Du, Chongjun Wang
Self-Training with Label-Feature-Consistency for Domain Adaptation. DASFAA (4) (2023)
Hao Cheng, Shufeng Kong, Yanchen Deng, Caihua Liu, Xiaohu Wu, Bo An, Chongjun Wang
Exploring Leximin Principle for Fair Core-Selecting Combinatorial Auctions: Payment Rule Design and Implementation. IJCAI (2023)
Shuwei Qian, Ming Guo, Zhicheng Fan, Mingcai Chen, Chongjun Wang
LAMB: Label-Induced Mixed-Level Blending for Multimodal Multi-label Emotion Detection. CollaborateCom (2) (2023)
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. CoRR (2023)
Wenyu Jiang, Hao Cheng, Mingcai Chen, Chongjun Wang, Hongxin Wei
DOS: Diverse Outlier Sampling for Out-of-Distribution Detection. CoRR (2023)
Yuntao Du, Juan Jiang, Hongtao Luo, Haiyang Yang, Mingcai Chen, Chongjun Wang
Bidirectional View based Consistency Regularization for Semi-Supervised Domain Adaptation. Trans. Mach. Learn. Res. 2023 (2023)
Meng Cao, Jianqing Song, Jinliang Yuan, Baoming Zhang, Chongjun Wang
FairHELP: Fairness-Aware Heterogeneous Information Network Embedding for Link Prediction. DASFAA (3) (2023)
Meng Cao, Mingcai Chen, Jianqing Song, Chen-Xuan Fang, Chongjun Wang
A Flexible Debiasing Framework for Fair Heterogeneous Information Network Embedding. ECAI (2023)
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. AAAI (2023)
Jinliang Yuan, Hualei Yu, Meng Cao, Jianqing Song, Junyuan Xie, Chongjun Wang
Self-supervised robust Graph Neural Networks against noisy graphs and noisy labels. Appl. Intell. 53 (21) (2023)
Wenyu Jiang, Yuxin Ge, Hao Cheng, Mingcai Chen, Shuai Feng, Chongjun Wang
READ: Aggregating Reconstruction Error into Out-of-Distribution Detection. AAAI (2023)
Changfeng Ma, Yang Yang, Jie Guo, Fei Pan, Chongjun Wang, Yanwen Guo
Unsupervised Point Cloud Completion and Segmentation by Generative Adversarial Autoencoding Network. NeurIPS (2022)
Hengyang Lu, Jun Yang, Wei Fang, Xiaoning Song, Chongjun Wang
A deep neural networks-based fusion model for COVID-19 rumor detection from online social media. Data Technol. Appl. 56 (5) (2022)
Ming Xu, Baoming Zhang, Jinliang Yuan, Meng Cao, Chongjun Wang
NED-GNN: Detecting and Dropping Noisy Edges in Graph Neural Networks. APWeb/WAIM (1) (2022)
Changfeng Ma, Yang Yang, Jie Guo, Chongjun Wang, Yanwen Guo
Completing Partial Point Clouds with Outliers by Collaborative Completion and Segmentation. CoRR (2022)
Yi Zhang, Mingyuan Chen, Jundong Shen, Chongjun Wang
Tailor Versatile Multi-Modal Learning for Multi-Label Emotion Recognition. AAAI (2022)
Yuxin Ge, Hongtao Luo, Chen-Xuan Fang, Zhi-Wei Zhu, Chongjun Wang
MRM: Site Selection via Mutil-round Meanshift for Global Fairness. ICTAI (2022)
Yuntao Du, Ruiting Zhang, Xiaowen Zhang, Yirong Yao, Hengyang Lu, Chongjun Wang
Learning transferable and discriminative features for unsupervised domain adaptation. Intell. Data Anal. 26 (2) (2022)
Ming Xu, Baoming Zhang, Meng Cao, Hualei Yu, Chongjun Wang
LSEGNN: Encode Local Topology Structure in Graph Neural Networks. IPCCC (2022)
Fengli Cui, Yinghao Chen, Yuntao Du, Yikang Cao, Chongjun Wang
Joint Feature and Labeling Function Adaptation for Unsupervised Domain Adaptation. PAKDD (1) (2022)
Zhendong Liu, Wenyu Jiang, Yi Zhang, Chongjun Wang
Explanation-based Counterfactual Retraining(XCR): A Calibration Method for Black-box Models. CoRR (2022)
Yuntao Du, Hongtao Luo, Haiyang Yang, Juan Jiang, Chongjun Wang
InCo: Intermediate Prototype Contrast for Unsupervised Domain Adaptation. ECML/PKDD (1) (2022)
Yi Zhang, Mingyuan Chen, Jundong Shen, Chongjun Wang
Tailor Versatile Multi-modal Learning for Multi-label Emotion Recognition. CoRR (2022)
Hualei Yu, Jinliang Yuan, Yirong Yao, Chongjun Wang
Not all edges are peers: Accurate structure-aware graph pooling networks. Neural Networks 156 (2022)
Jinliang Yuan, Yirong Yao, Ming Xu, Hualei Yu, Junyuan Xie, Chongjun Wang
Graph structure learning based on feature and label consistency. Intell. Data Anal. 26 (6) (2022)
Yi Zhang, Zhecheng Zhang, Mingyuan Chen, Hengyang Lu, Lei Zhang, Chongjun Wang
LAMB: A novel algorithm of label collaboration based multi-label learning. Intell. Data Anal. 26 (5) (2022)
Mingcai Chen, Yuntao Du, Yi Zhang, Shuwei Qian, Chongjun Wang
Semi-supervised Learning with Multi-Head Co-Training. AAAI (2022)
Wenyu Jiang, Hao Cheng, Mingcai Chen, Shuai Feng, Yuxin Ge, Chongjun Wang
READ: Aggregating Reconstruction Error into Out-of-distribution Detection. CoRR (2022)
Jinliang Yuan, Meng Cao, Hao Cheng, Hualei Yu, Junyuan Xie, Chongjun Wang
A unified structure learning framework for graph attention networks. Neurocomputing 495 (2022)
Zhendong Liu, Wenyu Jiang, Yi Zhang, Chongjun Wang
FIXC: A Method for Data Distribution Shifts Calibration via Feature Importance. ICTAI (2022)
Jun Wu, Jie Cao, Hongliang Sun, Chongjun Wang
A Bayesian optimal social law synthesizing mechanism for strategical agents. Auton. Agents Multi Agent Syst. 36 (2) (2022)
Baoming Zhang, Ming Xu, Mingcai Chen, Mingyuan Chen, Chongjun Wang
CopGAT: Co-propagation Self-supervised Graph Attention Network. ISPA/BDCloud/SocialCom/SustainCom (2022)
Yi Zhang, Jundong Shen, Cheng Yu, Chongjun Wang
Views Meet Labels: Personalized Relation Refinement Network for Multiview Multilabel Learning. IEEE Multim. 29 (2) (2022)
Le Zhao, Mingcai Chen, Yuntao Du, Haiyang Yang, Chongjun Wang
Spatial-Temporal Graph Convolutional Gated Recurrent Network for Traffic Forecasting. CoRR (2022)
Hualei Yu, Yirong Yao, Jinliang Yuan, Chongjun Wang
DIPool: Degree-Induced Pooling for Hierarchical Graph Representation Learning. ISPA/BDCloud/SocialCom/SustainCom (2022)
Zhendong Liu, Wenyu Jiang, Min Guo, Chongjun Wang
MixBoost: Improving the Robustness of Deep Neural Networks by Boosting Data Augmentation. CoRR (2022)
Yi Zhang, Jundong Shen, Cheng Yu, Chongjun Wang
Relation-Aware Alignment Attention Network for Multi-view Multi-label Learning. DASFAA (2) (2021)
Ming Xu, Luoyi Zhang, Baoming Zhang, Meng Cao, Jinliang Yuan, Chongjun Wang
EPINE: Enhanced Proximity Information Network Embedding. ISPA/BDCloud/SocialCom/SustainCom (2021)
Yuntao Du, Jindong Wang, Wenjie Feng, Sinno Jialin Pan, Tao Qin, Renjun Xu, Chongjun Wang
AdaRNN: Adaptive Learning and Forecasting of Time Series. CIKM (2021)
Mingcai Chen, Yuntao Du, Yi Zhang, Shuwei Qian, Chongjun Wang
Semi-Supervised Learning with Multi-Head Co-Training. CoRR (2021)
Qiangqiang He, Yu Qiao, Shang Yang, Chongjun Wang
Equitable Valuation of Crowdsensing for Machine Learning via Game Theory. WASA (3) (2021)
Yuntao Du, Yinghao Chen, Fengli Cui, Xiaowen Zhang, Chongjun Wang
Cross-domain error minimization for unsupervised domain adaptation. CoRR (2021)
Yuntao Du, Yikang Cao, Yumeng Zhou, Yinghao Chen, Ruiting Zhang, Chongjun Wang
Self Separation and Misseparation Impact Minimization for Open-Set Domain Adaptation. DASFAA (2) (2021)
Jinliang Yuan, Hualei Yu, Meng Cao, Ming Xu, Junyuan Xie, Chongjun Wang
Semi-Supervised and Self-Supervised Classification with Multi-View Graph Neural Networks. CIKM (2021)
Jie Zhang, Kefan Li, Baoming Zhang, Ming Xu, Chongjun Wang
Parallel Counterfactual Regret Minimization in Crowdsourcing Imperfect-information Expanded Game. ISPA/BDCloud/SocialCom/SustainCom (2021)
Yi Zhang, Jundong Shen, Zhecheng Zhang, Chongjun Wang
Partial Modal Conditioned GANs for Multi-modal Multi-label Learning with Arbitrary Modal-Missing. DASFAA (2) (2021)
Hualei Yu, Chong Luo, Yuntao Du, Hao Cheng, Meng Cao, Chongjun Wang
DMSPool: Dual Multi-Scale Pooling for Graph Representation Learning. DASFAA (1) (2021)
Yuntao Du, Haiyang Yang, Mingcai Chen, Juan Jiang, Hongtao Luo, Chongjun Wang
Generation, augmentation, and alignment: A pseudo-source domain based method for source-free domain adaptation. CoRR (2021)
Yi Zhang, Jundong Shen, Cheng Yu, Chongjun Wang
Label-Specific Alignment with Adversarial Multi-View Representation. ICME (2021)
Qiangqiang He, Yu Qiao, Shang Yang, Chongjun Wang
Robust and Efficient Mechanism Design for Heterogeneous Task Crowdsensing. WASA (3) (2021)
Hao Cheng, Bin Jin, Yu Qiao, Lei Zhang, Chongjun Wang
False-name-proof mechanism for time window coverage tasks in mobile crowdsensing. ICCCN (2021)
Yuntao Du, Yinghao Chen, Fengli Cui, Xiaowen Zhang, Chongjun Wang
Cross-Domain Error Minimization for Unsupervised Domain Adaptation. DASFAA (2) (2021)
Meng Cao, Jinliang Yuan, Ming Xu, Hualei Yu, Chongjun Wang
Local Structural Aware Heterogeneous Information Network Embedding Based on Relational Self-Attention Graph Neural Network. IEEE Access 9 (2021)
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. CoRR (2021)
Yuntao Du, Zhiwen Tan, Xiaowen Zhang, Yirong Yao, Hualei Yu, Chongjun Wang
Unsupervised Domain Adaptation with Unified Joint Distribution Alignment. DASFAA (2) (2021)
Hualei Yu, Jinliang Yuan, Hao Cheng, Meng Cao, Chongjun Wang
GSAPool: Gated Structure Aware Pooling for Graph Representation Learning. IJCNN (2021)
Jie Zhang, Kefan Li, Baoming Zhang, Ming Xu, Chongjun Wang
QMIMC: Q-Learning Model Based on Imperfect-information under Multi-agent Crowdtesting. ISPA/BDCloud/SocialCom/SustainCom (2021)
Yuntao Du, Jindong Wang, Wenjie Feng, Sinno Jialin Pan, Tao Qin, Renjun Xu, Chongjun Wang
AdaRNN: Adaptive Learning and Forecasting of Time Series. CoRR (2021)
Xiaowen Zhang, Yuntao Du, Rongbiao Xie, Chongjun Wang
Adversarial Separation Network for Cross-Network Node Classification. CIKM (2021)
Yi Zhang, Zhecheng Zhang, Yinlong Zhu, Lei Zhang, Chongjun Wang
Discriminative Multi-label Model Reuse for Multi-label Learning. APWeb/WAIM (1) (2020)
Yuntao Du, Zhiwen Tan, Qian Chen, Xiaowen Zhang, Yirong Yao, Chongjun Wang
Dual Adversarial Domain Adaptation. CoRR (2020)
Yuntao Du, Zhiwen Tan, Qian Chen, Yi Zhang, Chongjun Wang
Homogeneous Online Transfer Learning with Online Distribution Discrepancy Minimization. ECAI (2020)
Qian Chen, Yuntao Du, Zhiwen Tan, Yi Zhang, Chongjun Wang
Unsupervised Domain Adaptation with Joint Domain-Adversarial Reconstruction Networks. ECML/PKDD (2) (2020)
Yi Zhang, Jundong Shen, Zhecheng Zhang, Chongjun Wang
Common and Discriminative Semantic Pursuit for Multi-Modal Multi-Label Learning. ECAI (2020)
Jun Wu, Yu Qiao, Lei Zhang, Chongjun Wang, Meilin Liu
A Multi-Unit Profit Competitive Mechanism for Cellular Traffic Offloading. AAAI (2020)
Jundong Shen, Yi Zhang, Cheng Yu, Chongjun Wang
Multi-view Multi-label Learning with Dual-Attention Networks for Stroke Screen. BIBM (2020)
Yi Zhang, Jundong Shen, Zhecheng Zhang, Lei Zhang, Chongjun Wang
Rethinking Modal-oriented Label Correlations for Multi-modal Multi-label Learning. IJCNN (2020)
Meng Cao, Xiying Ma, Kai Zhu, Ming Xu, Chongjun Wang
Heterogeneous Information Network Embedding with Convolutional Graph Attention Networks. IJCNN (2020)
Hao Cheng, Wentao Zhang, Yi Zhang, Lei Zhang, Jun Wu, Chongjun Wang
Fast core pricing algorithms for path auction. Auton. Agents Multi Agent Syst. 34 (1) (2020)
Yuntao Du, Ruiting Zhang, Yikang Cao, Xiaowen Zhang, Zhiwen Tan, Chongjun Wang
Unsupervised domain adaptation with exploring more statistics and discriminative information. CoRR (2020)
Bo Pang, Han Bao, Chongjun Wang
Feature-Aware Attentive Variational Auto-Encoder for Top-N Recommendation. ICTAI (2020)
Yu Qiao, Jun Wu, Hao Cheng, Zilan Huang, Qiangqiang He, Chongjun Wang
Truthful Mechanism Design for Multiregion Mobile Crowdsensing. Wirel. Commun. Mob. Comput. 2020 (2020)
Yi Zhang, Zhecheng Zhang, Hao Cheng, Hengyang Lu, Lei Zhang, Chongjun Wang, Junyuan Xie
Win-win Cooperation: A Novel Dual-Modal Dual-Label Algorithm for Membrane Proteins Function Pre-screen. BIBM (2019)
Yi Zhang, Cheng Zeng, Hao Cheng, Chongjun Wang, Lei Zhang
Many could be better than all: A novel instance-oriented algorithm for Multi-modal Multi-label problem. CoRR (2019)
Yi Zhang, Cheng Zeng, Hao Cheng, Chongjun Wang, Lei Zhang
Many Could be Better Than All: A Novel Instance-Oriented Algorithm for Multi-modal Multi-label Problem. ICME (2019)
Bo Pang, Min Yang, Chongjun Wang
A Novel Top-N Recommendation Approach Based on Conditional Variational Auto-Encoder. PAKDD (2) (2019)
Yue Peng, Edward Huang, Gang Chen, Chongjun Wang, Junyuan Xie
A general framework for multi-label learning towards class correlations and class imbalance. Intell. Data Anal. 23 (2) (2019)
Yuntao Du, Zhiwen Tan, Qian Chen, Yi Zhang, Chongjun Wang
Homogeneous Online Transfer Learning with Online Distribution Discrepancy Minimization. CoRR (2019)
Yu Qiao, Jun Wu, Lei Zhang, Chongjun Wang
Mechanism design for cross-market task crowdsourcing. IWQoS (2019)

Chongjun Wang.css-eqlu8i{font-size:small;padding-left:4px;}

Publication Activity (10 Years)

Top Topics

Top Venues

Chongjun Wang