| 2025 | AAAI | CUGF: A Reliable and Fair Recommendation Framework. | Nitin Bisht, Xiuwen Gong, Guandong Xu |
| 2025 | AAAI | Conformal Prediction for Partial Label Learning. | Xiuwen Gong, Nitin Bisht, Guandong Xu |
| 2025 | ICML | ENSUR: Equitable and Statistically Unbiased Recommendation. | Nitin Bisht, Xiuwen Gong, Guandong Xu |
| 2024 | AAAI | Dual-Window Multiscale Transformer for Hyperspectral Snapshot Compressive Imaging. | Fulin Luo, Xi Chen, Xiuwen Gong, Weiwen Wu, Tan Guo |
| 2024 | ICML | Does Label Smoothing Help Deep Partial Label Learning? | Xiuwen Gong, Nitin Bisht, Guandong Xu |
| 2024 | IJCAI | Contrastive Transformer Masked Image Hashing for Degraded Image Retrieval. | Xiaobo Shen, Haoyu Cai, Xiuwen Gong, Yuhui Zheng |
| 2024 | IJCAI | Unsupervised Deep Graph Structure and Embedding Learning. | Xiaobo Shen, Lei Shi, Xiuwen Gong, Shirui Pan |
| 2024 | IJCAI | Contrastive Learning Drug Response Models from Natural Language Supervision. | Kun Li, Xiuwen Gong, Jia Wu, Wenbin Hu |
| 2023 | WSDM | Relation Preference Oriented High-order Sampling for Recommendation. | Mukun Chen, Xiuwen Gong, YH Jin, Wenbin Hu |
| 2023 | WSDM | CLNode: Curriculum Learning for Node Classification. | Xiaowen Wei, Xiuwen Gong, Yibing Zhan, Bo Du, Yong Luo, Wenbin Hu |
| 2022 | AAAI | Partial Multi-Label Learning via Large Margin Nearest Neighbour Embeddings. | Xiuwen Gong, Dong Yuan, Wei Bao |
| 2022 | ICML | Partial Label Learning via Label Influence Function. | Xiuwen Gong, Dong Yuan, Wei Bao |
| 2021 | IJCAI | Fast Multi-label Learning. | Xiuwen Gong, Dong Yuan, Wei Bao |
| 2020 | AAAI | Online Metric Learning for Multi-Label Classification. | Xiuwen Gong, Dong Yuan, Wei Bao |
| 2015 | AAAI | Effectively Predicting Whether and When a Topic Will Become Prevalent in a Social Network. | Weiwei Liu, Zhi-Hong Deng, Xiuwen Gong, Frank Jiang, Ivor W. Tsang |