Cong Wang

According to our database, Cong Wang authored at least 18 papers between 2021 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

CoProLITE: Constrained Proxy Learning for lIver and hepaTic lesion sEgmentation.

Yuchen Fu, Song Liu, Cong Wang, Zhiwei Jiang, Juan Du, Qing Gu

Neurocomputing, 2024

A Debiased Nearest Neighbors Framework for Multi-Label Text Classification.

Zifeng Cheng, Zhiwei Jiang, Yafeng Yin, Zhaoling Chen, Cong Wang, Shiping Ge, Qiguo Huang, Qing Gu

CoRR, 2024

IMAGDressing-v1: Customizable Virtual Dressing.

Fei Shen, Xin Jiang, Xin He, Hu Ye, Cong Wang, Xiaoyu Du, Zechao Li, Jinghui Tang

CoRR, 2024

Boosting Consistency in Story Visualization with Rich-Contextual Conditional Diffusion Models.

Fei Shen, Hu Ye, Sibo Liu, Jun Zhang, Cong Wang, Xiao Han, Wei Yang

CoRR, 2024

V-Express: Conditional Dropout for Progressive Training of Portrait Video Generation.

Cong Wang, Kuan Tian, Jun Zhang, Yonghang Guan, Feng Luo, Fei Shen, Zhiwei Jiang, Qing Gu, Xiao Han, Wei Yang

CoRR, 2024

Ensembling Diffusion Models via Adaptive Feature Aggregation.

Cong Wang, Kuan Tian, Yonghang Guan, Jun Zhang, Zhiwei Jiang, Fei Shen, Xiao Han, Qing Gu, Wei Yang

CoRR, 2024

Advancing Pose-Guided Image Synthesis with Progressive Conditional Diffusion Models.

Fei Shen, Hu Ye, Jun Zhang, Cong Wang, Xiao Han, Yang Wei

Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023

A Consistent Dual-MRC Framework for Emotion-cause Pair Extraction.

Zifeng Cheng, Zhiwei Jiang, Yafeng Yin, Cong Wang, Shiping Ge, Qing Gu

ACM Trans. Inf. Syst., October, 2023

Advancing Pose-Guided Image Synthesis with Progressive Conditional Diffusion Models.

Fei Shen, Hu Ye, Jun Zhang, Cong Wang, Xiao Han, Wei Yang

CoRR, 2023

Learning Robust Multi-Modal Representation for Multi-Label Emotion Recognition via Adversarial Masking and Perturbation.

Shiping Ge, Zhiwei Jiang, Zifeng Cheng, Cong Wang, Yafeng Yin, Qing Gu

Proceedings of the ACM Web Conference 2023, 2023

Unsupervised Readability Assessment via Learning from Weak Readability Signals.

Yuliang Liu, Zhiwei Jiang, Yafeng Yin, Cong Wang, Sheng Chen, Zhaoling Chen, Qing Gu

Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023

Learning Event-Specific Localization Preferences for Audio-Visual Event Localization.

Shiping Ge, Zhiwei Jiang, Yafeng Yin, Cong Wang, Zifeng Cheng, Qing Gu

Proceedings of the 31st ACM International Conference on Multimedia, 2023

Aggregating Multiple Heuristic Signals as Supervision for Unsupervised Automated Essay Scoring.

Cong Wang, Zhiwei Jiang, Yafeng Yin, Zifeng Cheng, Shiping Ge, Qing Gu

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

Controlling Class Layout for Deep Ordinal Classification via Constrained Proxies Learning.

Cong Wang, Zhiwei Jiang, Yafeng Yin, Zifeng Cheng, Shiping Ge, Qing Gu

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

Learning to Classify Open Intent via Soft Labeling and Manifold Mixup.

Zifeng Cheng, Zhiwei Jiang, Yafeng Yin, Cong Wang, Qing Gu

IEEE ACM Trans. Audio Speech Lang. Process., 2022

Siamese Adversarial Network for image classification of heavy mineral grains.

Huizhen Hao, Zhiwei Jiang, Shiping Ge, Cong Wang, Qing Gu

Comput. Geosci., 2022

2021

SiamFuseNet: A pseudo-siamese network for detritus detection from polarized microscopic images of river sands.

Cong Wang, Shiping Ge, Zhiwei Jiang, Huizhen Hao, Qing Gu

Comput. Geosci., 2021

Dual-input attention network for automatic identification of detritus from river sands.

Shiping Ge, Cong Wang, Zhiwei Jiang, Huizhen Hao, Qing Gu

Comput. Geosci., 2021