IEEE Transactions on Knowledge and Data Engineering, Vol. Defu Lian, Zhihao Zhu, Kai Zheng, Yong Ge, Xing Xie, Enhong Chen, Network Representation Lightening from Hashing to Quantization.Yidong Wang, Hao Chen, Qiang Heng, Wenxin Hou, Yue Fan, Zhen Wu, Jindong Wang, Marios Savvides, Takahiro Shinozaki, Bhiksha Raj, Bernt Schiele, Xing Xie, FreeMatch: Self-adaptive Thresholding for Semi-supervised Learning, poster, 11th International Conference on Learning Representations (ICLR 2023), Kigali, Rwanda, May 2023.Hao Chen, Ran Tao, Yue Fan, Yidong Wang, Marios Savvides, Jindong Wang, Bhiksha Raj, Xing Xie, Bernt Schiele, SoftMatch: Addressing the Quantity-Quality Tradeoff in Semi-supervised Learning, poster, 11th International Conference on Learning Representations (ICLR 2023), Kigali, Rwanda, May 2023.Wang Lu, Jindong Wang, Xinwei Sun, Yiqiang Chen, Xing Xie, Out-of-distribution Representation Learning for Time Series Classification, poster, 11th International Conference on Learning Representations (ICLR 2023), Kigali, Rwanda, May 2023.Zonghan Yang, Xiaoyuan Yi, Peng Li, Yang Liu, Xing Xie, Unified Detoxifying and Debiasing in Language Generation via Inference-time Adaptive Optimization, poster, 11th International Conference on Learning Representations (ICLR 2023), Kigali, Rwanda, May 2023.Jianan Zhao, Meng Qu, Chaozhuo Li, Hao Yan, Qian Liu, Rui Li, Xing Xie, Jian Tang, Learning on Large-scale Text-attributed Graphs via Variational Inference, 11th International Conference on Learning Representations (ICLR 2023), Kigali, Rwanda, May 2023. ![]()
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