| 2025 | AAAI | Robust Logit Adjustment for Learning with Long-Tailed Noisy Data. | Mingcai Chen, Yuntao Du, Wenyu Jiang, Baoming Zhang, Shuai Feng, Yi Xin, Chongjun Wang |
| 2025 | AAAI | Normalize Then Propagate: Efficient Homophilous Regularization for Few-Shot Semi-Supervised Node Classification. | Baoming Zhang, Mingcai Chen, Jianqing Song, Shuangjie Li, Jie Zhang, Chongjun Wang |
| 2025 | CVPR | Sparse Point Cloud Patches Rendering via Splitting 2D Gaussians. | Changfeng Ma, Ran Bi, Jie Guo, Chongjun Wang, Yanwen Guo |
| 2025 | ICASSP | Knowledge Is Powerful: Art Knowledge-Driven Framework for Painting Style Classification Integrating Multimodal Knowledge. | Haoyang Chen, Chongjun Wang, Yi Xin, Lei Zhang |
| 2025 | ICASSP | Inference Retrieval-Augmented Multi-Modal Chain-of-Thoughts Reasoning for Language Models. | Qiangqiang He, Shuwei Qian, Jie Zhang, Chongjun Wang |
| 2025 | ICASSP | Regret Optimization Experience Replay in Off-Policy Reinforcement Learning. | Jie Zhang, Yirong Yao, Wei He, Yiqun Niu, Chongjun Wang |
| 2025 | ICONIP | Unified Multi-modal Aggregated-Masked Diffusion Network for MRI Synthesis with Modality Missing. | Ming Guo, Feng Chen, Chongjun Wang |
| 2025 | IJCNN | Towards Emotional Insights in Art: A Knowledge-Driven Framework Integrating Artistic Emotion Knowledge into Vision Language Models. | Haoyang Chen, Hengyang Lu, Yi Xin, Dian Kong, Chongjun Wang |
| 2025 | IJCNN | TIMM: A Type-Induced Missing-aware Mixture-of-Experts Model for Imputing Missing Modalities. | Shuwei Qian, Zhicheng Fan, Qiangqiang He, Chongjun Wang |
| 2025 | IJCNN | Step-Aware Confidence Estimation in Natural Language Reasoning. | Changhong Xia, Zhendong Liu, Feng Chen, Haodi Zhou, Chongjun Wang |
| 2024 | AAAI | CASE: Exploiting Intra-class Compactness and Inter-class Separability of Feature Embeddings for Out-of-Distribution Detection. | Shuai Feng, Pengsheng Jin, Chongjun Wang |
| 2024 | AAAI | FedCompetitors: Harmonious Collaboration in Federated Learning with Competing Participants. | Shanli Tan, Hao Cheng, Xiaohu Wu, Han Yu, Tiantian He, Yew Soon Ong, Chongjun Wang, Xiaofeng Tao |
| 2024 | COLING | Trustworthiness and Self-awareness in Large Language Models: An Exploration through the Think-Solve-Verify Framework. | Zhendong Liu, Changhong Xia, Wei He, Chongjun Wang |
| 2024 | DASFAA | Shapley-Optimized Reinforcement Learning for Human-Machine Collaboration Policy. | Jie Zhang, Yiqun Niu, Wei He, Cheng Jin, Chongjun Wang |
| 2024 | ICASSP | From Game Theory to Visual Recognition: Advancing DNN Robustness. | Zhendong Liu, Wenyu Jiang, Ming Guo, Chongjun Wang |
| 2024 | ICASSP | Understanding Data Augmentation From A Robustness Perspective. | Zhendong Liu, Jie Zhang, Qiangqiang He, Chongjun Wang |
| 2024 | ICASSP | Seeking Similarities While Removing Differences: Graph Neural Networks Based on Node Correlation. | Shuangjie Li, Baoming Zhang, Jianqing Song, Yifan Xia, Junyuan Xie, Chongjun Wang |
| 2024 | ICIP | Some Can Be Better than All: Multimodal Star Transformer for Visual Dialog. | Qiangqiang He, Jie Zhang, Shuwei Qian, Chongjun Wang |
| 2024 | ICLR | DOS: Diverse Outlier Sampling for Out-of-Distribution Detection. | Wenyu Jiang, Hao Cheng, Mingcai Chen, Chongjun Wang, Hongxin Wei |
| 2023 | AAAI | Two Wrongs Don't Make a Right: Combating Confirmation Bias in Learning with Label Noise. | Mingcai Chen, Hao Cheng, Yuntao Du, Ming Xu, Wenyu Jiang, Chongjun Wang |
| 2023 | AAAI | READ: Aggregating Reconstruction Error into Out-of-Distribution Detection. | Wenyu Jiang, Yuxin Ge, Hao Cheng, Mingcai Chen, Shuai Feng, Chongjun Wang |
| 2023 | CVPR | Symmetric Shape-Preserving Autoencoder for Unsupervised Real Scene Point Cloud Completion. | Changfeng Ma, Yinuo Chen, Pengxiao Guo, Jie Guo, Chongjun Wang, Yanwen Guo |
| 2023 | DASFAA | FairHELP: Fairness-Aware Heterogeneous Information Network Embedding for Link Prediction. | Meng Cao, Jianqing Song, Jinliang Yuan, Baoming Zhang, Chongjun Wang |
| 2023 | DASFAA | Self-Training with Label-Feature-Consistency for Domain Adaptation. | Yi Xin, Siqi Luo, Pengsheng Jin, Yuntao Du, Chongjun Wang |
| 2023 | ECAI | A Flexible Debiasing Framework for Fair Heterogeneous Information Network Embedding. | Meng Cao, Mingcai Chen, Jianqing Song, Chen-Xuan Fang, Chongjun Wang |
| 2023 | ICANN | K-Fold Cross-Valuation for Machine Learning Using Shapley Value. | Qiangqiang He, Mujie Zhang, Jie Zhang, Shang Yang, Chongjun Wang |
| 2023 | ICANN | Hierarchical Vision and Language Transformer for Efficient Visual Dialog. | Qiangqiang He, Mujie Zhang, Jie Zhang, Shang Yang, Chongjun Wang |
| 2023 | IJCAI | Exploring Leximin Principle for Fair Core-Selecting Combinatorial Auctions: Payment Rule Design and Implementation. | Hao Cheng, Shufeng Kong, Yanchen Deng, Caihua Liu, Xiaohu Wu, Bo An, Chongjun Wang |
| 2023 | SDM | CESED: Exploiting Hyperspherical Predefined Evenly-Distributed Class Centroids for OOD Detection. | Shuai Feng, Wenyu Jiang, Mingcai Chen, Yuntao Du, Hao Cheng, Yuxin Ge, Chongjun Wang |
| 2022 | AAAI | Semi-supervised Learning with Multi-Head Co-Training. | Mingcai Chen, Yuntao Du, Yi Zhang, Shuwei Qian, Chongjun Wang |
| 2022 | AAAI | Tailor Versatile Multi-Modal Learning for Multi-Label Emotion Recognition. | Yi Zhang, Mingyuan Chen, Jundong Shen, Chongjun Wang |
| 2022 | APWEB | NED-GNN: Detecting and Dropping Noisy Edges in Graph Neural Networks. | Ming Xu, Baoming Zhang, Jinliang Yuan, Meng Cao, Chongjun Wang |
| 2022 | IPCCC | LSEGNN: Encode Local Topology Structure in Graph Neural Networks. | Ming Xu, Baoming Zhang, Meng Cao, Hualei Yu, Chongjun Wang |
| 2022 | ICTAI | MRM: Site Selection via Mutil-round Meanshift for Global Fairness. | Yuxin Ge, Hongtao Luo, Chen-Xuan Fang, Zhi-Wei Zhu, Chongjun Wang |
| 2022 | ICTAI | FIXC: A Method for Data Distribution Shifts Calibration via Feature Importance. | Zhendong Liu, Wenyu Jiang, Yi Zhang, Chongjun Wang |
| 2022 | ISPA | DIPool: Degree-Induced Pooling for Hierarchical Graph Representation Learning. | Hualei Yu, Yirong Yao, Jinliang Yuan, Chongjun Wang |
| 2022 | ISPA | CopGAT: Co-propagation Self-supervised Graph Attention Network. | Baoming Zhang, Ming Xu, Mingcai Chen, Mingyuan Chen, Chongjun Wang |
| 2022 | PAKDD | Joint Feature and Labeling Function Adaptation for Unsupervised Domain Adaptation. | Fengli Cui, Yinghao Chen, Yuntao Du, Yikang Cao, Chongjun Wang |
| 2021 | CIKM | AdaRNN: Adaptive Learning and Forecasting of Time Series. | Yuntao Du, Jindong Wang, Wenjie Feng, Sinno Jialin Pan, Tao Qin, Renjun Xu, Chongjun Wang |
| 2021 | CIKM | Semi-Supervised and Self-Supervised Classification with Multi-View Graph Neural Networks. | Jinliang Yuan, Hualei Yu, Meng Cao, Ming Xu, Junyuan Xie, Chongjun Wang |
| 2021 | CIKM | Adversarial Separation Network for Cross-Network Node Classification. | Xiaowen Zhang, Yuntao Du, Rongbiao Xie, Chongjun Wang |
| 2021 | DASFAA | Cross-Domain Error Minimization for Unsupervised Domain Adaptation. | Yuntao Du, Yinghao Chen, Fengli Cui, Xiaowen Zhang, Chongjun Wang |
| 2021 | DASFAA | Self Separation and Misseparation Impact Minimization for Open-Set Domain Adaptation. | Yuntao Du, Yikang Cao, Yumeng Zhou, Yinghao Chen, Ruiting Zhang, Chongjun Wang |
| 2021 | DASFAA | Unsupervised Domain Adaptation with Unified Joint Distribution Alignment. | Yuntao Du, Zhiwen Tan, Xiaowen Zhang, Yirong Yao, Hualei Yu, Chongjun Wang |
| 2021 | DASFAA | DMSPool: Dual Multi-Scale Pooling for Graph Representation Learning. | Hualei Yu, Chong Luo, Yuntao Du, Hao Cheng, Meng Cao, Chongjun Wang |
| 2021 | DASFAA | Relation-Aware Alignment Attention Network for Multi-view Multi-label Learning. | Yi Zhang, Jundong Shen, Cheng Yu, Chongjun Wang |
| 2021 | DASFAA | Partial Modal Conditioned GANs for Multi-modal Multi-label Learning with Arbitrary Modal-Missing. | Yi Zhang, Jundong Shen, Zhecheng Zhang, Chongjun Wang |
| 2021 | ICCCN | False-name-proof mechanism for time window coverage tasks in mobile crowdsensing. | Hao Cheng, Bin Jin, Yu Qiao, Lei Zhang, Chongjun Wang |
| 2021 | IJCNN | GSAPool: Gated Structure Aware Pooling for Graph Representation Learning. | Hualei Yu, Jinliang Yuan, Hao Cheng, Meng Cao, Chongjun Wang |
| 2021 | ISPA | EPINE: Enhanced Proximity Information Network Embedding. | Ming Xu, Luoyi Zhang, Baoming Zhang, Meng Cao, Jinliang Yuan, Chongjun Wang |
| 2021 | ISPA | QMIMC: Q-Learning Model Based on Imperfect-information under Multi-agent Crowdtesting. | Jie Zhang, Kefan Li, Baoming Zhang, Ming Xu, Chongjun Wang |
| 2021 | ISPA | Parallel Counterfactual Regret Minimization in Crowdsourcing Imperfect-information Expanded Game. | Jie Zhang, Kefan Li, Baoming Zhang, Ming Xu, Chongjun Wang |
| 2020 | AAAI | A Multi-Unit Profit Competitive Mechanism for Cellular Traffic Offloading. | Jun Wu, Yu Qiao, Lei Zhang, Chongjun Wang, Meilin Liu |
| 2020 | APWEB | Discriminative Multi-label Model Reuse for Multi-label Learning. | Yi Zhang, Zhecheng Zhang, Yinlong Zhu, Lei Zhang, Chongjun Wang |
| 2020 | ECAI | Homogeneous Online Transfer Learning with Online Distribution Discrepancy Minimization. | Yuntao Du, Zhiwen Tan, Qian Chen, Yi Zhang, Chongjun Wang |
| 2020 | ECAI | Common and Discriminative Semantic Pursuit for Multi-Modal Multi-Label Learning. | Yi Zhang, Jundong Shen, Zhecheng Zhang, Chongjun Wang |
| 2020 | IJCNN | Heterogeneous Information Network Embedding with Convolutional Graph Attention Networks. | Meng Cao, Xiying Ma, Kai Zhu, Ming Xu, Chongjun Wang |
| 2020 | IJCNN | Rethinking Modal-oriented Label Correlations for Multi-modal Multi-label Learning. | Yi Zhang, Jundong Shen, Zhecheng Zhang, Lei Zhang, Chongjun Wang |
| 2020 | ICTAI | Feature-Aware Attentive Variational Auto-Encoder for Top-N Recommendation. | Bo Pang, Han Bao, Chongjun Wang |
| 2019 | CATA | A Compiler-assisted locality aware CTA Mapping Scheme. | Lifeng Liu, Meilin Liu, Chongjun Wang |
| 2019 | DASFAA | Serial and Parallel Recurrent Convolutional Neural Networks for Biomedical Named Entity Recognition. | Qianhui Lu, Yunlai Xu, Runqi Yang, Ning Li, Chongjun Wang |
| 2019 | DASFAA | Modeling More Globally: A Hierarchical Attention Network via Multi-Task Learning for Aspect-Based Sentiment Analysis. | Xiangying Ran, Yuanyuan Pan, Wei Sun, Chongjun Wang |
| 2019 | ICANN | Heterogeneous Information Network Embedding with Meta-path Based Graph Attention Networks. | Meng Cao, Xiying Ma, Ming Xu, Chongjun Wang |
| 2019 | ICANN | Symmetrical Adversarial Training Network: A Novel Model for Text Generation. | Yongzhen Gao, Chongjun Wang |
| 2019 | ICANN | A Label-Specific Attention-Based Network with Regularized Loss for Multi-label Classification. | Xiangyang Luo, Xiangying Ran, Wei Sun, Yunlai Xu, Chongjun Wang |
| 2019 | IJCAI | Learn to Select via Hierarchical Gate Mechanism for Aspect-Based Sentiment Analysis. | Xiangying Ran, Yuanyuan Pan, Wei Sun, Chongjun Wang |
| 2019 | IJCNN | An Efficient Framework by Topic Model for Multi-label Text Classification. | Wei Sun, Xiangying Ran, Xiangyang Luo, Chongjun Wang |
| 2019 | IJCNN | Gated Neural Network with Regularized Loss for Multi-label Text Classification. | Yunlai Xu, Xiangying Ran, Wei Sun, Xiangyang Luo, Chongjun Wang |
| 2019 | ICTAI | A Probabilistic Forward Search Value Iteration Algorithm for POMDP. | Feng Liu, Cheng Lei, Hanyi Liu, Chongjun Wang |
| 2019 | ICTAI | Multi-granularity Position-Aware Convolutional Memory Network for Aspect-Based Sentiment Analysis. | Yuanyuan Pan, Jun Gan, Xiangying Ran, Chongjun Wang |
| 2019 | ICTAI | RegCNN: A Deep Multi-output Regression Method for Wastewater Treatment. | Luoyi Zhang, Xiaowen Ma, Peng Shi, Sheng Bi, Chongjun Wang |
| 2019 | IWQoS | Mechanism design for cross-market task crowdsourcing. | Yu Qiao, Jun Wu, Lei Zhang, Chongjun Wang |
| 2019 | PAKDD | A Novel Top-N Recommendation Approach Based on Conditional Variational Auto-Encoder. | Bo Pang, Min Yang, Chongjun Wang |
| 2018 | AAAI | Multi-Entity Aspect-Based Sentiment Analysis With Context, Entity and Aspect Memory. | Jun Yang, Runqi Yang, Chongjun Wang, Junyuan Xie |
| 2018 | APWEB | Multi-label Classification via Label-Topic Pairs. | Gang Chen, Yue Peng, Chongjun Wang |
| 2018 | ICA3PP | CuAPSS: A Hybrid CUDA Solution for AllPairs Similarity Search. | Yilin Feng, Jie Tang, Chongjun Wang, Junyuan Xie |
| 2018 | ICTAI | Fast Document Cosine Similarity Self-Join on GPUs. | Yilin Feng, Jie Tang, Meilin Liu, Chongjun Wang, Junyuan Xie |
| 2018 | ICTAI | Online Single Homogeneous Source Transfer Learning Based on AdaBoost. | Chen Qian, Hengyang Lu, Chongjun Wang |
| 2018 | ISPA | A Truthful Profit-Oriented Mechanism for Mobile Crowdsensing. | Yu Qiao, Yi Gu, Jun Wu, Lei Zhang, Chongjun Wang |
| 2018 | ISPA | A False-Name-Proof Protocol for Multicast Routing Auctions. | Yu Qiao, Yue Song, Nan Wang, Jun Wu, Lei Zhang, Chongjun Wang |
| 2017 | APWEB | Viral Marketing for Digital Goods in Social Networks. | Yu Qiao, Jun Wu, Lei Zhang, Chongjun Wang |
| 2017 | APWEB | Intensity of Relationship Between Words: Using Word Triangles in Topic Discovery for Short Texts. | Ming Xu, Yang Cai, He-Sheng Wu, Chongjun Wang, Ning Li |
| 2017 | ICTAI | Multi-label Learning by Exploiting Label Correlations with LDA. | Yue Peng, Gang Chen, Ming Xu, Chongjun Wang, Junyuan Xie |
| 2016 | ICTAI | Biterm Pseudo Document Topic Model for Short Text. | Lan Jiang, Hengyang Lu, Ming Xu, Chongjun Wang |
| 2016 | TrustCom | New Efficient Certificateless Blind Signature Scheme. | Haibin Chen, Lei Zhang, Junyuan Xie, Chongjun Wang |
| 2015 | ICPADS | LSRB-CSR: A Low Overhead Storage Format for SpMV on the GPU Systems. | Lifeng Liu, Meilin Liu, Chongjun Wang, Jun Wang |
| 2015 | ICTAI | PCFBPI: A Point Clustering Feature Based Policy Iteration Algorithm. | Feng Liu, Chongjun Wang, Jidong Ge, Bin Luo |
| 2014 | ICTAI | Multi-label Classification: Dealing with Imbalance by Combining Labels. | Ming Fang, Yuqi Xiao, Chongjun Wang, Junyuan Xie |
| 2014 | ICTAI | nso-HSVI: A Not-So-Optimistic Heuristic Search Value Iteration Algorithm for POMDPs. | Feng Liu, Haibo Li, Chongjun Wang |
| 2014 | ICTAI | Automated Model Revision for Coordinated Open Systems. | Jun Wu, Chongjun Wang, Junyuan Xie |
| 2014 | ICTAI | Multi-label Emotion Classification for Tweets in Weibo: Method and Application. | Jun Yang, Lan Jiang, Chongjun Wang, Junyuan Xie |
| 2013 | ICTAI | An Algorithm for Mining Top K Influential Community Based Evolutionary Outliers in Temporal Dataset. | Yun Hu, Junyuan Xie, Chongjun Wang, Zuojian Zhou |
| 2013 | ICTAI | A Spin-Glass Model Based Local Community Detection Method in Social Networks. | Lei Pan, Chongjun Wang, Junyuan Xie |
| 2013 | ICTAI | CPP-SNS: A Solution to Influence Maximization Problem under Cost Control. | Qianyi Zhan, Hongchao Yang, Chongjun Wang, Junyuan Xie |
| 2012 | ICTAI | Overlapping Community Detection via Leader-Based Local Expansion in Social Networks. | Lei Pan, Chao Dai, Chongjun Wang, Junyuan Xie, Meilin Liu |
| 2012 | ICTAI | On the Complexity and Algorithms of Coalition Structure Generation in Overlapping Coalition Formation Games. | Yusen Zhan, Jun Wu, Chongjun Wang, Junyuan Xie |
| 2011 | ICTAI | A Center-Based Community Detection Method in Weighted Networks. | Jie Jin, Lei Pan, Chongjun Wang, Junyuan Xie |
| 2011 | ICTAI | Detecting Link Communities Based on Local Approach. | Lei Pan, Chongjun Wang, Junyuan Xie, Meilin Liu |