Wang, Chongjun

22 publications

AAAI 2025 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

AAAI 2025 Robust Logit Adjustment for Learning with Long-Tailed Noisy Data Mingcai Chen, Yuntao Du, Wenyu Jiang, Baoming Zhang, Shuai Feng, Yi Xin, Chongjun Wang

CVPR 2025 Sparse Point Cloud Patches Rendering via Splitting 2D Gaussians Changfeng Ma, Ran Bi, Jie Guo, Chongjun Wang, Yanwen Guo

AAAI 2024 CASE: Exploiting Intra-Class Compactness and Inter-Class Separability of Feature Embeddings for Out-of-Distribution Detection Shuai Feng, Pengsheng Jin, Chongjun Wang

ICLR 2024 DOS: Diverse Outlier Sampling for Out-of-Distribution Detection Wenyu Jiang, Hao Cheng, MingCai Chen, Chongjun Wang, Hongxin Wei

AAAI 2024 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

MLJ 2024 Generation, Augmentation, and Alignment: A Pseudo-Source Domain Based Method for Source-Free Domain Adaptation Yuntao Du, Haiyang Yang, Mingcai Chen, Hongtao Luo, Juan Jiang, Yi Xin, Chongjun Wang

ICLRW 2024 Multi-Source Fully Test-Time Adaptation Yuntao Du., Siqi Luo, Yi Xin, MingCai Chen, Shuai Feng, Mujie Zhang, Chongjun Wang

NeurIPS 2024 Similarity-Navigated Conformal Prediction for Graph Neural Networks Jianqing Song, Jianguo Huang, Wenyu Jiang, Baoming Zhang, Shuangjie Li, Chongjun Wang

TMLR 2023 Bidirectional View Based Consistency Regularization for Semi-Supervised Domain Adaptation Yuntao Du, 娟江, Hongtao Luo, Haiyang Yang, MingCai Chen, Chongjun Wang

IJCAI 2023 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

AAAI 2023 READ: Aggregating Reconstruction Error into Out-of-Distribution Detection Wenyu Jiang, Yuxin Ge, Hao Cheng, Mingcai Chen, Shuai Feng, Chongjun Wang

CVPR 2023 Symmetric Shape-Preserving Autoencoder for Unsupervised Real Scene Point Cloud Completion Changfeng Ma, Yinuo Chen, Pengxiao Guo, Jie Guo, Chongjun Wang, Yanwen Guo

AAAI 2023 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

ECML-PKDD 2022 InCo: Intermediate Prototype Contrast for Unsupervised Domain Adaptation Yuntao Du, Hongtao Luo, Haiyang Yang, Juan Jiang, Chongjun Wang

AAAI 2022 Semi-Supervised Learning with Multi-Head Co-Training Mingcai Chen, Yuntao Du, Yi Zhang, Shuwei Qian, Chongjun Wang

AAAI 2022 Tailor Versatile Multi-Modal Learning for Multi-Label Emotion Recognition Yi Zhang, Mingyuan Chen, Jundong Shen, Chongjun Wang

NeurIPS 2022 Unsupervised Point Cloud Completion and Segmentation by Generative Adversarial Autoencoding Network Changfeng Ma, Yang Yang, Jie Guo, Fei Pan, Chongjun Wang, Yanwen Guo

AAAI 2020 A Multi-Unit Profit Competitive Mechanism for Cellular Traffic Offloading Jun Wu, Yu Qiao, Lei Zhang, Chongjun Wang, Meilin Liu

ECML-PKDD 2020 Unsupervised Domain Adaptation with Joint Domain-Adversarial Reconstruction Networks Qian Chen, Yuntao Du, Zhiwen Tan, Yi Zhang, Chongjun Wang

IJCAI 2019 Learn to Select via Hierarchical Gate Mechanism for Aspect-Based Sentiment Analysis Xiangying Ran, Yuanyuan Pan, Wei Sun, Chongjun Wang

AAAI 2018 Multi-Entity Aspect-Based Sentiment Analysis with Context, Entity and Aspect Memory Jun Yang, Runqi Yang, Chongjun Wang, Junyuan Xie