Chongjun Wang - RankMe

191 papers A* 17A 16B 34C 1Misc 7Journal 64Unranked 52

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	TGSL: Trade-off graph structure learning via multifaceted graph information bottleneck. Neural Networks Shuangjie Li, Baoming Zhang, Jianqing Song, Gaoli Ruan, Chongjun Wang, Junyuan Xie
2026	J	`jnl`	Temporal spatial semantic fusion network for audio-visual zero-shot learning. Intell. Data Anal. Ming Guo, Feng Chen, Chongjun Wang
2026	J	`jnl`	Weakly-Supervised Shape Multi-Completion of Point Clouds by Structural Decomposition. IEEE Trans. Vis. Comput. Graph. Changfeng Ma, Pengxiao Guo, Shuangyu Yang, Yuanqi Li, Jie Guo, Chongjun Wang, Yanwen Guo
2025	J	`jnl`	Enhancing few-shot out-of-distribution intent detection by reducing attention misallocation. Neurocomputing Hengyang Lu, Jiaming Zhang, Yuntao Du, Chang Xia, Chongjun Wang, Wei Fang, Xiao-Jun Wu
2025	J	`jnl`	FastVDT: Fast Transformer With Optimised Attention Masks and Positional Encoding for Visual Dialogue. IET Comput. Vis. Qiangqiang He, Shuwei Qian, Chongjun Wang
2025	J	`jnl`	Graph Neural Networks with Coarse- and Fine-Grained Division for mitigating label noise and sparsity. Neural Networks Shuangjie Li, Baoming Zhang, Jianqing Song, Gaoli Ruan, Chongjun Wang, Junyuan Xie
2025	Misc	`conf`	Inference Retrieval-Augmented Multi-Modal Chain-of-Thoughts Reasoning for Language Models. ICASSP Qiangqiang He, Shuwei Qian, Jie Zhang, Chongjun Wang
2025	Misc	`conf`	Knowledge Is Powerful: Art Knowledge-Driven Framework for Painting Style Classification Integrating Multimodal Knowledge. ICASSP Haoyang Chen, Chongjun Wang, Yi Xin, Lei Zhang
2025	J	`jnl`	Knowledge-guided prompt-based continual learning: Aligning task-prompts through contrastive hard negatives. Knowl. Based Syst. Hengyang Lu, Long-kang Lin, Chenyou Fan, Chongjun Wang, Wei Fang, Xiaojun Wu
2025	J	`jnl`	LaplaceConfidence: A graph-based approach for learning with noisy labels. Intell. Data Anal. Mingcai Chen, Yuntao Du, Wei Tang, Baoming Zhang, Chongjun Wang
2025	J	`jnl`	Long-Tailed Out-of-Distribution Detection with Refined Separate Class Learning. CoRR Shuai Feng, Yuxin Ge, Yuntao Du, Mingcai Chen, Chongjun Wang, Lei Feng
2025	—	`conf`	Memory-Enhanced Cognitive Planning: A Framework for Improving Long-Term Planning in LLMs. ICIC (10) Yiqun Niu, Zhongheng Wu, Chongjun Wang
2025	—	`conf`	Multi-round Q&A Hallucination Analysis of LLMs in Geographical Education. ICIC (11) Haoyang Chen, Dian Kong, Xiangyuan Li, Chongjun Wang
2025	J	`jnl`	Multi-source fully test-time adaptation. Neural Networks Yuntao Du, Siqi Luo, Yi Xin, Mingcai Chen, Shuai Feng, Mujie Zhang, Chongjun Wang
2025	A*	`conf`	Normalize Then Propagate: Efficient Homophilous Regularization for Few-Shot Semi-Supervised Node Classification. AAAI Baoming Zhang, Mingcai Chen, Jianqing Song, Shuangjie Li, Jie Zhang, Chongjun Wang
2025	J	`jnl`	Normalize Then Propagate: Efficient Homophilous Regularization for Few-shot Semi-Supervised Node Classification. CoRR Baoming Zhang, Mingcai Chen, Jianqing Song, Shuangjie Li, Jie Zhang, Chongjun Wang
2025	J	`jnl`	Parameterize Structure With Differentiable Template for 3D Shape Generation. IEEE Trans. Vis. Comput. Graph. Changfeng Ma, Pengxiao Guo, Shuangyu Yang, Yinuo Chen, Jie Guo, Chongjun Wang, Yanwen Guo, Wenping Wang
2025	Misc	`conf`	Regret Optimization Experience Replay in Off-Policy Reinforcement Learning. ICASSP Jie Zhang, Yirong Yao, Wei He, Yiqun Niu, Chongjun Wang
2025	A*	`conf`	Robust Logit Adjustment for Learning with Long-Tailed Noisy Data. AAAI Mingcai Chen, Yuntao Du, Wenyu Jiang, Baoming Zhang, Shuai Feng, Yi Xin, Chongjun Wang
2025	A*	`conf`	Sparse Point Cloud Patches Rendering via Splitting 2D Gaussians. CVPR Changfeng Ma, Ran Bi, Jie Guo, Chongjun Wang, Yanwen Guo
2025	B	`conf`	Step-Aware Confidence Estimation in Natural Language Reasoning. IJCNN Changhong Xia, Zhendong Liu, Feng Chen, Haodi Zhou, Chongjun Wang
2025	B	`conf`	TIMM: A Type-Induced Missing-aware Mixture-of-Experts Model for Imputing Missing Modalities. IJCNN Shuwei Qian, Zhicheng Fan, Qiangqiang He, Chongjun Wang
2025	B	`conf`	Towards Emotional Insights in Art: A Knowledge-Driven Framework Integrating Artistic Emotion Knowledge into Vision Language Models. IJCNN Haoyang Chen, Hengyang Lu, Yi Xin, Dian Kong, Chongjun Wang
2025	—	`conf`	Unified Multi-modal Aggregated-Masked Diffusion Network for MRI Synthesis with Modality Missing. ICONIP (3) Ming Guo, Feng Chen, Chongjun Wang
2024	J	`jnl`	Are transformer-based models more robust than CNN-based models? Neural Networks Zhendong Liu, Shuwei Qian, Changhong Xia, Chongjun Wang
2024	A*	`conf`	CASE: Exploiting Intra-class Compactness and Inter-class Separability of Feature Embeddings for Out-of-Distribution Detection. AAAI Shuai Feng, Pengsheng Jin, Chongjun Wang
2024	J	`jnl`	Collaborative Completion and Segmentation for Partial Point Clouds With Outliers. IEEE Trans. Vis. Comput. Graph. Changfeng Ma, Yang Yang, Jie Guo, Mingqiang Wei, Chongjun Wang, Yanwen Guo, Wenping Wang
2024	A*	`conf`	DOS: Diverse Outlier Sampling for Out-of-Distribution Detection. ICLR Wenyu Jiang, Hao Cheng, Mingcai Chen, Chongjun Wang, Hongxin Wei
2024	J	`jnl`	Enhancing Vision-Language Model Safety through Progressive Concept-Bottleneck-Driven Alignment. CoRR Zhendong Liu, Yuanbi Nie, Yingshui Tan, Xiangyu Yue, Qiushi Cui, Chongjun Wang, Xiaoyong Zhu, Bo Zheng
2024	A*	`conf`	FedCompetitors: Harmonious Collaboration in Federated Learning with Competing Participants. AAAI Shanli Tan, Hao Cheng, Xiaohu Wu, Han Yu, Tiantian He, Yew Soon Ong, Chongjun Wang, Xiaofeng Tao
2024	Misc	`conf`	From Game Theory to Visual Recognition: Advancing DNN Robustness. ICASSP Zhendong Liu, Wenyu Jiang, Ming Guo, Chongjun Wang
2024	J	`jnl`	GaGSL: Global-augmented Graph Structure Learning via Graph Information Bottleneck. CoRR Shuangjie Li, Jiangqing Song, Baoming Zhang, Gaoli Ruan, Junyuan Xie, Chongjun Wang
2024	J	`jnl`	Generation, augmentation, and alignment: a pseudo-source domain based method for source-free domain adaptation. Mach. Learn. Yuntao Du, Haiyang Yang, Mingcai Chen, Hongtao Luo, Juan Jiang, Yi Xin, Chongjun Wang
2024	J	`jnl`	Graph Neural Networks with Coarse- and Fine-Grained Division for Mitigating Label Sparsity and Noise. CoRR Shuangjie Li, Baoming Zhang, Jianqing Song, Gaoli Ruan, Chongjun Wang, Junyuan Xie
2024	J	`jnl`	Multi-head co-training: An uncertainty-aware and robust semi-supervised learning framework. Knowl. Based Syst. Mingcai Chen, Chongjun Wang
2024	J	`jnl`	Parameterize Structure with Differentiable Template for 3D Shape Generation. CoRR Changfeng Ma, Pengxiao Guo, Shuangyu Yang, Yinuo Chen, Jie Guo, Chongjun Wang, Yanwen Guo, Wenping Wang
2024	J	`jnl`	Safety Alignment for Vision Language Models. CoRR Zhendong Liu, Yuanbi Nie, Yingshui Tan, Xiangyu Yue, Qiushi Cui, Chongjun Wang, Xiaoyong Zhu, Bo Zheng
2024	Misc	`conf`	Seeking Similarities While Removing Differences: Graph Neural Networks Based on Node Correlation. ICASSP Shuangjie Li, Baoming Zhang, Jianqing Song, Yifan Xia, Junyuan Xie, Chongjun Wang
2024	—	`conf`	Shapley-Optimized Reinforcement Learning for Human-Machine Collaboration Policy. DASFAA (2) Jie Zhang, Yiqun Niu, Wei He, Cheng Jin, Chongjun Wang
2024	A*	`conf`	Similarity-Navigated Conformal Prediction for Graph Neural Networks. NeurIPS Jianqing Song, Jianguo Huang, Wenyu Jiang, Baoming Zhang, Shuangjie Li, Chongjun Wang
2024	J	`jnl`	Similarity-Navigated Conformal Prediction for Graph Neural Networks. CoRR Jianqing Song, Jianguo Huang, Wenyu Jiang, Baoming Zhang, Shuangjie Li, Chongjun Wang
2024	A	`conf`	Smile: Spiking Multi-Modal Interactive Label-Guided Enhancement Network for Emotion Recognition. ICME Ming Guo, Wenrui Li, Chao Wang, Yuxin Ge, Chongjun Wang
2024	B	`conf`	Some Can Be Better than All: Multimodal Star Transformer for Visual Dialog. ICIP Qiangqiang He, Jie Zhang, Shuwei Qian, Chongjun Wang
2024	—	`conf`	Trustworthiness and Self-awareness in Large Language Models: An Exploration through the Think-Solve-Verify Framework. LREC/COLING Zhendong Liu, Changhong Xia, Wei He, Chongjun Wang
2024	Misc	`conf`	Understanding Data Augmentation From A Robustness Perspective. ICASSP Zhendong Liu, Jie Zhang, Qiangqiang He, Chongjun Wang
2024	J	`jnl`	When an extra rejection class meets out-of-distribution detection in long-tailed image classification. Neural Networks Shuai Feng, Chongjun Wang
2023	A	`conf`	A Flexible Debiasing Framework for Fair Heterogeneous Information Network Embedding. ECAI Meng Cao, Mingcai Chen, Jianqing Song, Chen-Xuan Fang, Chongjun Wang
2023	J	`jnl`	Bidirectional View based Consistency Regularization for Semi-Supervised Domain Adaptation. Trans. Mach. Learn. Res. Yuntao Du, Juan Jiang, Hongtao Luo, Haiyang Yang, Mingcai Chen, Chongjun Wang
2023	A	`conf`	CESED: Exploiting Hyperspherical Predefined Evenly-Distributed Class Centroids for OOD Detection. SDM Shuai Feng, Wenyu Jiang, Mingcai Chen, Yuntao Du, Hao Cheng, Yuxin Ge, Chongjun Wang
2023	J	`jnl`	COM: Contrastive Masked-attention model for incomplete multimodal learning. Neural Networks Shuwei Qian, Chongjun Wang
2023	J	`jnl`	DOS: Diverse Outlier Sampling for Out-of-Distribution Detection. CoRR Wenyu Jiang, Hao Cheng, Mingcai Chen, Chongjun Wang, Hongxin Wei
2023	A*	`conf`	Exploring Leximin Principle for Fair Core-Selecting Combinatorial Auctions: Payment Rule Design and Implementation. IJCAI Hao Cheng, Shufeng Kong, Yanchen Deng, Caihua Liu, Xiaohu Wu, Bo An, Chongjun Wang
2023	J	`jnl`	Exploring Leximin Principle for Fair Core-Selecting Combinatorial Auctions: Payment Rule Design and Implementation. CoRR Hao Cheng, Shufeng Kong, Yanchen Deng, Caihua Liu, Xiaohu Wu, Bo An, Chongjun Wang
2023	—	`conf`	FairHELP: Fairness-Aware Heterogeneous Information Network Embedding for Link Prediction. DASFAA (3) Meng Cao, Jianqing Song, Jinliang Yuan, Baoming Zhang, Chongjun Wang
2023	J	`jnl`	FedCompetitors: Harmonious Collaboration in Federated Learning with Competing Participants. CoRR Shanli Tan, Hao Cheng, Xiaohu Wu, Han Yu, Tiantian He, Yew-Soon Ong, Chongjun Wang, Xiaofeng Tao
2023	—	`conf`	Hierarchical Vision and Language Transformer for Efficient Visual Dialog. ICANN (6) Qiangqiang He, Mujie Zhang, Jie Zhang, Shang Yang, Chongjun Wang
2023	—	`conf`	K-Fold Cross-Valuation for Machine Learning Using Shapley Value. ICANN (3) Qiangqiang He, Mujie Zhang, Jie Zhang, Shang Yang, Chongjun Wang
2023	—	`conf`	LAMB: Label-Induced Mixed-Level Blending for Multimodal Multi-label Emotion Detection. CollaborateCom (2) Shuwei Qian, Ming Guo, Zhicheng Fan, Mingcai Chen, Chongjun Wang
2023	J	`jnl`	LaplaceConfidence: a Graph-based Approach for Learning with Noisy Labels. CoRR Mingcai Chen, Yuntao Du, Wei Tang, Baoming Zhang, Hao Cheng, Shuwei Qian, Chongjun Wang
2023	J	`jnl`	Predicting Potential Risk: Cerebral Stroke via Regret Minimization. Int. J. Intell. Syst. Jie Zhang, Hao Chen, Cheng Jin, Qiangqiang He, Wei He, Chongjun Wang
2023	A*	`conf`	READ: Aggregating Reconstruction Error into Out-of-Distribution Detection. AAAI Wenyu Jiang, Yuxin Ge, Hao Cheng, Mingcai Chen, Shuai Feng, Chongjun Wang
2023	—	`conf`	Self-Training with Label-Feature-Consistency for Domain Adaptation. DASFAA (4) Yi Xin, Siqi Luo, Pengsheng Jin, Yuntao Du, Chongjun Wang
2023	J	`jnl`	Self-supervised robust Graph Neural Networks against noisy graphs and noisy labels. Appl. Intell. Jinliang Yuan, Hualei Yu, Meng Cao, Jianqing Song, Junyuan Xie, Chongjun Wang
2023	J	`jnl`	Self-supervised short text classification with heterogeneous graph neural networks. Expert Syst. J. Knowl. Eng. Meng Cao, Jinliang Yuan, Hualei Yu, Baoming Zhang, Chongjun Wang
2023	A*	`conf`	Symmetric Shape-Preserving Autoencoder for Unsupervised Real Scene Point Cloud Completion. CVPR Changfeng Ma, Yinuo Chen, Pengxiao Guo, Jie Guo, Chongjun Wang, Yanwen Guo
2023	A*	`conf`	Two Wrongs Don't Make a Right: Combating Confirmation Bias in Learning with Label Noise. AAAI Mingcai Chen, Hao Cheng, Yuntao Du, Ming Xu, Wenyu Jiang, Chongjun Wang
2023	J	`jnl`	Understanding Data Augmentation from a Robustness Perspective. CoRR Zhendong Liu, Jie Zhang, Qiangqiang He, Chongjun Wang
2022	J	`jnl`	A Bayesian optimal social law synthesizing mechanism for strategical agents. Auton. Agents Multi Agent Syst. Jun Wu, Jie Cao, Hongliang Sun, Chongjun Wang
2022	J	`jnl`	A deep neural networks-based fusion model for COVID-19 rumor detection from online social media. Data Technol. Appl. Hengyang Lu, Jun Yang, Wei Fang, Xiaoning Song, Chongjun Wang
2022	J	`jnl`	A unified structure learning framework for graph attention networks. Neurocomputing Jinliang Yuan, Meng Cao, Hao Cheng, Hualei Yu, Junyuan Xie, Chongjun Wang
2022	J	`jnl`	Completing Partial Point Clouds with Outliers by Collaborative Completion and Segmentation. CoRR Changfeng Ma, Yang Yang, Jie Guo, Chongjun Wang, Yanwen Guo
2022	—	`conf`	CopGAT: Co-propagation Self-supervised Graph Attention Network. ISPA/BDCloud/SocialCom/SustainCom Baoming Zhang, Ming Xu, Mingcai Chen, Mingyuan Chen, Chongjun Wang
2022	—	`conf`	DIPool: Degree-Induced Pooling for Hierarchical Graph Representation Learning. ISPA/BDCloud/SocialCom/SustainCom Hualei Yu, Yirong Yao, Jinliang Yuan, Chongjun Wang
2022	J	`jnl`	Explanation-based Counterfactual Retraining(XCR): A Calibration Method for Black-box Models. CoRR Zhendong Liu, Wenyu Jiang, Yi Zhang, Chongjun Wang
2022	B	`conf`	FIXC: A Method for Data Distribution Shifts Calibration via Feature Importance. ICTAI Zhendong Liu, Wenyu Jiang, Yi Zhang, Chongjun Wang
2022	J	`jnl`	Graph structure learning based on feature and label consistency. Intell. Data Anal. Jinliang Yuan, Yirong Yao, Ming Xu, Hualei Yu, Junyuan Xie, Chongjun Wang
2022	—	`conf`	InCo: Intermediate Prototype Contrast for Unsupervised Domain Adaptation. ECML/PKDD (1) Yuntao Du, Hongtao Luo, Haiyang Yang, Juan Jiang, Chongjun Wang
2022	—	`conf`	Joint Feature and Labeling Function Adaptation for Unsupervised Domain Adaptation. PAKDD (1) Fengli Cui, Yinghao Chen, Yuntao Du, Yikang Cao, Chongjun Wang
2022	J	`jnl`	LAMB: A novel algorithm of label collaboration based multi-label learning. Intell. Data Anal. Yi Zhang, Zhecheng Zhang, Mingyuan Chen, Hengyang Lu, Lei Zhang, Chongjun Wang
2022	C	`conf`	LSEGNN: Encode Local Topology Structure in Graph Neural Networks. IPCCC Ming Xu, Baoming Zhang, Meng Cao, Hualei Yu, Chongjun Wang
2022	J	`jnl`	Learning transferable and discriminative features for unsupervised domain adaptation. Intell. Data Anal. Yuntao Du, Ruiting Zhang, Xiaowen Zhang, Yirong Yao, Hengyang Lu, Chongjun Wang
2022	B	`conf`	MRM: Site Selection via Mutil-round Meanshift for Global Fairness. ICTAI Yuxin Ge, Hongtao Luo, Chen-Xuan Fang, Zhi-Wei Zhu, Chongjun Wang
2022	J	`jnl`	MixBoost: Improving the Robustness of Deep Neural Networks by Boosting Data Augmentation. CoRR Zhendong Liu, Wenyu Jiang, Min Guo, Chongjun Wang
2022	—	`conf`	NED-GNN: Detecting and Dropping Noisy Edges in Graph Neural Networks. APWeb/WAIM (1) Ming Xu, Baoming Zhang, Jinliang Yuan, Meng Cao, Chongjun Wang
2022	J	`jnl`	Not all edges are peers: Accurate structure-aware graph pooling networks. Neural Networks Hualei Yu, Jinliang Yuan, Yirong Yao, Chongjun Wang
2022	J	`jnl`	READ: Aggregating Reconstruction Error into Out-of-distribution Detection. CoRR Wenyu Jiang, Hao Cheng, Mingcai Chen, Shuai Feng, Yuxin Ge, Chongjun Wang
2022	A*	`conf`	Semi-supervised Learning with Multi-Head Co-Training. AAAI Mingcai Chen, Yuntao Du, Yi Zhang, Shuwei Qian, Chongjun Wang
2022	J	`jnl`	Spatial-Temporal Graph Convolutional Gated Recurrent Network for Traffic Forecasting. CoRR Le Zhao, Mingcai Chen, Yuntao Du, Haiyang Yang, Chongjun Wang
2022	A*	`conf`	Tailor Versatile Multi-Modal Learning for Multi-Label Emotion Recognition. AAAI Yi Zhang, Mingyuan Chen, Jundong Shen, Chongjun Wang
2022	J	`jnl`	Tailor Versatile Multi-modal Learning for Multi-label Emotion Recognition. CoRR Yi Zhang, Mingyuan Chen, Jundong Shen, Chongjun Wang
2022	A*	`conf`	Unsupervised Point Cloud Completion and Segmentation by Generative Adversarial Autoencoding Network. NeurIPS Changfeng Ma, Yang Yang, Jie Guo, Fei Pan, Chongjun Wang, Yanwen Guo
2022	J	`jnl`	Views Meet Labels: Personalized Relation Refinement Network for Multiview Multilabel Learning. IEEE Multim. Yi Zhang, Jundong Shen, Cheng Yu, Chongjun Wang
2021	A	`conf`	AdaRNN: Adaptive Learning and Forecasting of Time Series. CIKM Yuntao Du, Jindong Wang, Wenjie Feng, Sinno Jialin Pan, Tao Qin, Renjun Xu, Chongjun Wang
2021	J	`jnl`	AdaRNN: Adaptive Learning and Forecasting of Time Series. CoRR Yuntao Du, Jindong Wang, Wenjie Feng, Sinno Jialin Pan, Tao Qin, Renjun Xu, Chongjun Wang
2021	A	`conf`	Adversarial Separation Network for Cross-Network Node Classification. CIKM Xiaowen Zhang, Yuntao Du, Rongbiao Xie, Chongjun Wang
2021	—	`conf`	Cross-Domain Error Minimization for Unsupervised Domain Adaptation. DASFAA (2) Yuntao Du, Yinghao Chen, Fengli Cui, Xiaowen Zhang, Chongjun Wang
2021	J	`jnl`	Cross-domain error minimization for unsupervised domain adaptation. CoRR Yuntao Du, Yinghao Chen, Fengli Cui, Xiaowen Zhang, Chongjun Wang
2021	—	`conf`	DMSPool: Dual Multi-Scale Pooling for Graph Representation Learning. DASFAA (1) Hualei Yu, Chong Luo, Yuntao Du, Hao Cheng, Meng Cao, Chongjun Wang
2021	—	`conf`	EPINE: Enhanced Proximity Information Network Embedding. ISPA/BDCloud/SocialCom/SustainCom Ming Xu, Luoyi Zhang, Baoming Zhang, Meng Cao, Jinliang Yuan, Chongjun Wang
2021	—	`conf`	Equitable Valuation of Crowdsensing for Machine Learning via Game Theory. WASA (3) Qiangqiang He, Yu Qiao, Shang Yang, Chongjun Wang
2021	B	`conf`	False-name-proof mechanism for time window coverage tasks in mobile crowdsensing. ICCCN Hao Cheng, Bin Jin, Yu Qiao, Lei Zhang, Chongjun Wang
2021	B	`conf`	GSAPool: Gated Structure Aware Pooling for Graph Representation Learning. IJCNN Hualei Yu, Jinliang Yuan, Hao Cheng, Meng Cao, Chongjun Wang
2021	J	`jnl`	Generation, augmentation, and alignment: A pseudo-source domain based method for source-free domain adaptation. CoRR Yuntao Du, Haiyang Yang, Mingcai Chen, Juan Jiang, Hongtao Luo, Chongjun Wang
2021	A	`conf`	Label-Specific Alignment with Adversarial Multi-View Representation. ICME Yi Zhang, Jundong Shen, Cheng Yu, Chongjun Wang
2021	J	`jnl`	Local Structural Aware Heterogeneous Information Network Embedding Based on Relational Self-Attention Graph Neural Network. IEEE Access Meng Cao, Jinliang Yuan, Ming Xu, Hualei Yu, Chongjun Wang
2021	—	`conf`	Parallel Counterfactual Regret Minimization in Crowdsourcing Imperfect-information Expanded Game. ISPA/BDCloud/SocialCom/SustainCom Jie Zhang, Kefan Li, Baoming Zhang, Ming Xu, Chongjun Wang
2021	—	`conf`	Partial Modal Conditioned GANs for Multi-modal Multi-label Learning with Arbitrary Modal-Missing. DASFAA (2) Yi Zhang, Jundong Shen, Zhecheng Zhang, Chongjun Wang
2021	—	`conf`	QMIMC: Q-Learning Model Based on Imperfect-information under Multi-agent Crowdtesting. ISPA/BDCloud/SocialCom/SustainCom Jie Zhang, Kefan Li, Baoming Zhang, Ming Xu, Chongjun Wang
2021	—	`conf`	Relation-Aware Alignment Attention Network for Multi-view Multi-label Learning. DASFAA (2) Yi Zhang, Jundong Shen, Cheng Yu, Chongjun Wang
2021	—	`conf`	Robust and Efficient Mechanism Design for Heterogeneous Task Crowdsensing. WASA (3) Qiangqiang He, Yu Qiao, Shang Yang, Chongjun Wang
2021	—	`conf`	Self Separation and Misseparation Impact Minimization for Open-Set Domain Adaptation. DASFAA (2) Yuntao Du, Yikang Cao, Yumeng Zhou, Yinghao Chen, Ruiting Zhang, Chongjun Wang
2021	J	`jnl`	Semi-Supervised Learning with Multi-Head Co-Training. CoRR Mingcai Chen, Yuntao Du, Yi Zhang, Shuwei Qian, Chongjun Wang
2021	A	`conf`	Semi-Supervised and Self-Supervised Classification with Multi-View Graph Neural Networks. CIKM Jinliang Yuan, Hualei Yu, Meng Cao, Ming Xu, Junyuan Xie, Chongjun Wang
2021	J	`jnl`	Two Wrongs Don't Make a Right: Combating Confirmation Bias in Learning with Label Noise. CoRR Mingcai Chen, Hao Cheng, Yuntao Du, Ming Xu, Wenyu Jiang, Chongjun Wang
2021	—	`conf`	Unsupervised Domain Adaptation with Unified Joint Distribution Alignment. DASFAA (2) Yuntao Du, Zhiwen Tan, Xiaowen Zhang, Yirong Yao, Hualei Yu, Chongjun Wang
2020	A*	`conf`	A Multi-Unit Profit Competitive Mechanism for Cellular Traffic Offloading. AAAI Jun Wu, Yu Qiao, Lei Zhang, Chongjun Wang, Meilin Liu
2020	A	`conf`	Common and Discriminative Semantic Pursuit for Multi-Modal Multi-Label Learning. ECAI Yi Zhang, Jundong Shen, Zhecheng Zhang, Chongjun Wang
2020	—	`conf`	Discriminative Multi-label Model Reuse for Multi-label Learning. APWeb/WAIM (1) Yi Zhang, Zhecheng Zhang, Yinlong Zhu, Lei Zhang, Chongjun Wang
2020	J	`jnl`	Dual Adversarial Domain Adaptation. CoRR Yuntao Du, Zhiwen Tan, Qian Chen, Xiaowen Zhang, Yirong Yao, Chongjun Wang
2020	J	`jnl`	Fast core pricing algorithms for path auction. Auton. Agents Multi Agent Syst. Hao Cheng, Wentao Zhang, Yi Zhang, Lei Zhang, Jun Wu, Chongjun Wang
2020	B	`conf`	Feature-Aware Attentive Variational Auto-Encoder for Top-N Recommendation. ICTAI Bo Pang, Han Bao, Chongjun Wang
2020	B	`conf`	Heterogeneous Information Network Embedding with Convolutional Graph Attention Networks. IJCNN Meng Cao, Xiying Ma, Kai Zhu, Ming Xu, Chongjun Wang
2020	A	`conf`	Homogeneous Online Transfer Learning with Online Distribution Discrepancy Minimization. ECAI Yuntao Du, Zhiwen Tan, Qian Chen, Yi Zhang, Chongjun Wang
2020	—	`conf`	Multi-view Multi-label Learning with Dual-Attention Networks for Stroke Screen. BIBM Jundong Shen, Yi Zhang, Cheng Yu, Chongjun Wang
2020	B	`conf`	Rethinking Modal-oriented Label Correlations for Multi-modal Multi-label Learning. IJCNN Yi Zhang, Jundong Shen, Zhecheng Zhang, Lei Zhang, Chongjun Wang
2020	J	`jnl`	Truthful Mechanism Design for Multiregion Mobile Crowdsensing. Wirel. Commun. Mob. Comput. Yu Qiao, Jun Wu, Hao Cheng, Zilan Huang, Qiangqiang He, Chongjun Wang
2020	—	`conf`	Unsupervised Domain Adaptation with Joint Domain-Adversarial Reconstruction Networks. ECML/PKDD (2) Qian Chen, Yuntao Du, Zhiwen Tan, Yi Zhang, Chongjun Wang
2020	J	`jnl`	Unsupervised domain adaptation with exploring more statistics and discriminative information. CoRR Yuntao Du, Ruiting Zhang, Yikang Cao, Xiaowen Zhang, Zhiwen Tan, Chongjun Wang
2019	Misc	`conf`	A Compiler-assisted locality aware CTA Mapping Scheme. CATA Lifeng Liu, Meilin Liu, Chongjun Wang
2019	—	`conf`	A Label-Specific Attention-Based Network with Regularized Loss for Multi-label Classification. ICANN (2) Xiangyang Luo, Xiangying Ran, Wei Sun, Yunlai Xu, Chongjun Wang
2019	—	`conf`	A Novel Top-N Recommendation Approach Based on Conditional Variational Auto-Encoder. PAKDD (2) Bo Pang, Min Yang, Chongjun Wang
2019	B	`conf`	A Probabilistic Forward Search Value Iteration Algorithm for POMDP. ICTAI Feng Liu, Cheng Lei, Hanyi Liu, Chongjun Wang
2019	J	`jnl`	A general framework for multi-label learning towards class correlations and class imbalance. Intell. Data Anal. Yue Peng, Edward Huang, Gang Chen, Chongjun Wang, Junyuan Xie
2019	B	`conf`	An Efficient Framework by Topic Model for Multi-label Text Classification. IJCNN Wei Sun, Xiangying Ran, Xiangyang Luo, Chongjun Wang
2019	B	`conf`	Gated Neural Network with Regularized Loss for Multi-label Text Classification. IJCNN Yunlai Xu, Xiangying Ran, Wei Sun, Xiangyang Luo, Chongjun Wang
2019	—	`conf`	Heterogeneous Information Network Embedding with Meta-path Based Graph Attention Networks. ICANN (Workshop) Meng Cao, Xiying Ma, Ming Xu, Chongjun Wang
2019	J	`jnl`	Homogeneous Online Transfer Learning with Online Distribution Discrepancy Minimization. CoRR Yuntao Du, Zhiwen Tan, Qian Chen, Yi Zhang, Chongjun Wang
2019	A*	`conf`	Learn to Select via Hierarchical Gate Mechanism for Aspect-Based Sentiment Analysis. IJCAI Xiangying Ran, Yuanyuan Pan, Wei Sun, Chongjun Wang
2019	A	`conf`	Many Could be Better Than All: A Novel Instance-Oriented Algorithm for Multi-modal Multi-label Problem. ICME Yi Zhang, Cheng Zeng, Hao Cheng, Chongjun Wang, Lei Zhang
2019	J	`jnl`	Many could be better than all: A novel instance-oriented algorithm for Multi-modal Multi-label problem. CoRR Yi Zhang, Cheng Zeng, Hao Cheng, Chongjun Wang, Lei Zhang
2019	B	`conf`	Mechanism design for cross-market task crowdsourcing. IWQoS Yu Qiao, Jun Wu, Lei Zhang, Chongjun Wang
2019	—	`conf`	Modeling More Globally: A Hierarchical Attention Network via Multi-Task Learning for Aspect-Based Sentiment Analysis. DASFAA (3) Xiangying Ran, Yuanyuan Pan, Wei Sun, Chongjun Wang
2019	J	`jnl`	Multi-Entity Aspect-Based Sentiment Analysis with Context, Entity, Aspect Memory and Dependency Information. ACM Trans. Asian Low Resour. Lang. Inf. Process. Jun Yang, Runqi Yang, Hengyang Lu, Chongjun Wang, Junyuan Xie
2019	B	`conf`	Multi-granularity Position-Aware Convolutional Memory Network for Aspect-Based Sentiment Analysis. ICTAI Yuanyuan Pan, Jun Gan, Xiangying Ran, Chongjun Wang
2019	A	`conf`	Multi-unit Budget Feasible Mechanisms for Cellular Traffic Offloading. AAMAS Jun Wu, Yuan Zhang, Yu Qiao, Lei Zhang, Chongjun Wang, Junyuan Xie
2019	J	`jnl`	Opinion Mining in Online Social Media for Public Health Campaigns. J. Medical Imaging Health Informatics Qianyi Zhan, Wei Zhuo, Wei Hu, Sherry Emery, Chongjun Wang, Yuan Liu, Xiaofeng Wang
2019	B	`conf`	RegCNN: A Deep Multi-output Regression Method for Wastewater Treatment. ICTAI Luoyi Zhang, Xiaowen Ma, Peng Shi, Sheng Bi, Chongjun Wang
2019	—	`conf`	Serial and Parallel Recurrent Convolutional Neural Networks for Biomedical Named Entity Recognition. DASFAA (3) Qianhui Lu, Yunlai Xu, Runqi Yang, Ning Li, Chongjun Wang
2019	—	`conf`	Symmetrical Adversarial Training Network: A Novel Model for Text Generation. ICANN (4) Yongzhen Gao, Chongjun Wang
2019	—	`conf`	Win-win Cooperation: A Novel Dual-Modal Dual-Label Algorithm for Membrane Proteins Function Pre-screen. BIBM Yi Zhang, Zhecheng Zhang, Hao Cheng, Hengyang Lu, Lei Zhang, Chongjun Wang, Junyuan Xie
2018	—	`conf`	A False-Name-Proof Protocol for Multicast Routing Auctions. ISPA/IUCC/BDCloud/SocialCom/SustainCom Yu Qiao, Yue Song, Nan Wang, Jun Wu, Lei Zhang, Chongjun Wang
2018	—	`conf`	A Truthful Profit-Oriented Mechanism for Mobile Crowdsensing. ISPA/IUCC/BDCloud/SocialCom/SustainCom Yu Qiao, Yi Gu, Jun Wu, Lei Zhang, Chongjun Wang
2018	—	`conf`	CuAPSS: A Hybrid CUDA Solution for AllPairs Similarity Search. ICA3PP (1) Yilin Feng, Jie Tang, Chongjun Wang, Junyuan Xie
2018	B	`conf`	Fast Document Cosine Similarity Self-Join on GPUs. ICTAI Yilin Feng, Jie Tang, Meilin Liu, Chongjun Wang, Junyuan Xie
2018	A*	`conf`	Multi-Entity Aspect-Based Sentiment Analysis With Context, Entity and Aspect Memory. AAAI Jun Yang, Runqi Yang, Chongjun Wang, Junyuan Xie
2018	—	`conf`	Multi-label Classification via Label-Topic Pairs. APWeb/WAIM (1) Gang Chen, Yue Peng, Chongjun Wang
2018	B	`conf`	Online Single Homogeneous Source Transfer Learning Based on AdaBoost. ICTAI Chen Qian, Hengyang Lu, Chongjun Wang
2018	A	`conf`	Optimal Constraint Collection for Core-Selecting Path Mechanism. AAMAS Hao Cheng, Lei Zhang, Yi Zhang, Jun Wu, Chongjun Wang
2017	—	`conf`	A-MapCG: An Adaptive MapReduce Framework for GPUs. NAS Lifeng Liu, Yue Zhang, Meilin Liu, Chongjun Wang, Jun Wang
2017	—	`conf`	Approximation for strategic single point weighted steiner tree problem. ICA Nan Wang, Jun Wu, Chongjun Wang, Lei Zhang
2017	—	`conf`	Community detection on anti-vaping campaign audience. BIBM Qianyi Zhan, Longhai Tan, Sherry Emery, Philip S. Yu, Chongjun Wang
2017	—	`conf`	Intensity of Relationship Between Words: Using Word Triangles in Topic Discovery for Short Texts. APWeb/WAIM (1) Ming Xu, Yang Cai, He-Sheng Wu, Chongjun Wang, Ning Li
2017	J	`jnl`	Measuring the social influences of scientist groups based on multiple types of collaboration relations. Inf. Process. Manag. Jiuchuan Jiang, Peng Shi, Bo An, Jianyong Yu, Chongjun Wang
2017	A	`conf`	Mechanism Design for Social Law Synthesis under Incomplete Information. AAMAS Jun Wu, Lei Zhang, Chongjun Wang, Junyuan Xie
2017	B	`conf`	Multi-label Learning by Exploiting Label Correlations with LDA. ICTAI Yue Peng, Gang Chen, Ming Xu, Chongjun Wang, Junyuan Xie
2017	—	`conf`	Multi-label learning by exploiting label correlations for TCM diagnosing Parkinson's disease. BIBM Yue Peng, Chi Tang, Gang Chen, Junyuan Xie, Chongjun Wang
2017	A	`conf`	Synthesizing Optimal Social Laws for Strategical Agents via Bayesian Mechanism Design. AAMAS Jun Wu, Lei Zhang, Chongjun Wang, Junyuan Xie
2017	—	`conf`	Viral Marketing for Digital Goods in Social Networks. APWeb/WAIM (1) Yu Qiao, Jun Wu, Lei Zhang, Chongjun Wang
2016	B	`conf`	Biterm Pseudo Document Topic Model for Short Text. ICTAI Lan Jiang, Hengyang Lu, Ming Xu, Chongjun Wang
2016	—	`conf`	New Efficient Certificateless Blind Signature Scheme. Trustcom/BigDataSE/ISPA Haibin Chen, Lei Zhang, Junyuan Xie, Chongjun Wang
2016	—	`conf`	Traditional Chinese Medicine formula evaluation using multi-instance multi-label framework. BIBM Yongchun Li, Hong Li, Qian Wang, Chongjun Wang, Xinsheng Fan
2015	—	`conf`	Entropy chain multi-label classifiers for Traditional Medicine diagnosing Parkinson's disease. BIBM Yue Peng, Ming Fang, Chongjun Wang, Junyuan Xie
2015	B	`conf`	LSRB-CSR: A Low Overhead Storage Format for SpMV on the GPU Systems. ICPADS Lifeng Liu, Meilin Liu, Chongjun Wang, Jun Wang
2015	B	`conf`	PCFBPI: A Point Clustering Feature Based Policy Iteration Algorithm. ICTAI Feng Liu, Chongjun Wang, Jidong Ge, Bin Luo
2014	B	`conf`	Automated Model Revision for Coordinated Open Systems. ICTAI Jun Wu, Chongjun Wang, Junyuan Xie
2014	B	`conf`	Multi-label Classification: Dealing with Imbalance by Combining Labels. ICTAI Ming Fang, Yuqi Xiao, Chongjun Wang, Junyuan Xie
2014	B	`conf`	Multi-label Emotion Classification for Tweets in Weibo: Method and Application. ICTAI Jun Yang, Lan Jiang, Chongjun Wang, Junyuan Xie
2014	B	`conf`	nso-HSVI: A Not-So-Optimistic Heuristic Search Value Iteration Algorithm for POMDPs. ICTAI Feng Liu, Haibo Li, Chongjun Wang
2013	B	`conf`	A Spin-Glass Model Based Local Community Detection Method in Social Networks. ICTAI Lei Pan, Chongjun Wang, Junyuan Xie
2013	B	`conf`	An Algorithm for Mining Top K Influential Community Based Evolutionary Outliers in Temporal Dataset. ICTAI Yun Hu, Junyuan Xie, Chongjun Wang, Zuojian Zhou
2013	B	`conf`	CPP-SNS: A Solution to Influence Maximization Problem under Cost Control. ICTAI Qianyi Zhan, Hongchao Yang, Chongjun Wang, Junyuan Xie
2013	A	`conf`	On the complexity of undominated core and farsighted solution concepts in coalitional games. AAMAS Yusen Zhan, Jun Wu, Chongjun Wang, Meilin Liu, Junyuan Xie
2013	—	`conf`	Three-Way Decision Based Overlapping Community Detection. RSKT Youli Liu, Lei Pan, Xiuyi Jia, Chongjun Wang, Junyuan Xie
2012	—	`conf`	Link Communities Detection via Local Approach. RSKT Lei Pan, Chongjun Wang, Junyuan Xie
2012	—	`conf`	Maximizing Influence Spread in a New Propagation Model. RSKT Hongchao Yang, Chongjun Wang, Junyuan Xie
2012	B	`conf`	On the Complexity and Algorithms of Coalition Structure Generation in Overlapping Coalition Formation Games. ICTAI Yusen Zhan, Jun Wu, Chongjun Wang, Junyuan Xie
2012	B	`conf`	Overlapping Community Detection via Leader-Based Local Expansion in Social Networks. ICTAI Lei Pan, Chao Dai, Chongjun Wang, Junyuan Xie, Meilin Liu
2011	B	`conf`	A Center-Based Community Detection Method in Weighted Networks. ICTAI Jie Jin, Lei Pan, Chongjun Wang, Junyuan Xie
2011	A	`conf`	A framework for coalitional normative systems. AAMAS Jun Wu, Chongjun Wang, Junyuan Xie
2011	B	`conf`	Detecting Link Communities Based on Local Approach. ICTAI Lei Pan, Chongjun Wang, Junyuan Xie, Meilin Liu
2011	J	`jnl`	Strategic Ability Updating in Concurrent Games by Coalitional Commitment. IEEE Trans. Syst. Man Cybern. Part B Chongjun Wang, Jun Wu, Zhong-Cun Wang, Junyuan Xie