Jin, Long

8 publications

AAAI 2025 A Method for Enhancing Generalization of Adam by Multiple Integrations Long Jin, Han Nong, Liangming Chen, Zhenming Su

AAAI 2025 TrustUQA: A Trustful Framework for Unified Structured Data Question Answering Wen Zhang, Long Jin, Yushan Zhu, Jiaoyan Chen, Zhiwei Huang, Junjie Wang, Yin Hua, Lei Liang, Huajun Chen

AAAI 2024 NodeMixup: Tackling Under-Reaching for Graph Neural Networks Weigang Lu, Ziyu Guan, Wei Zhao, Yaming Yang, Long Jin

AAAI 2022 Zero Stability Well Predicts Performance of Convolutional Neural Networks Liangming Chen, Long Jin, Mingsheng Shang

NeurIPS 2021 Decoupling the Depth and Scope of Graph Neural Networks Hanqing Zeng, Muhan Zhang, Yinglong Xia, Ajitesh Srivastava, Andrey Malevich, Rajgopal Kannan, Viktor Prasanna, Long Jin, Ren Chen

NeurIPS 2021 Labeling Trick: A Theory of Using Graph Neural Networks for Multi-Node Representation Learning Muhan Zhang, Pan Li, Yinglong Xia, Kai Wang, Long Jin

NeurIPS 2017 Introspective Classification with Convolutional Nets Long Jin, Justin Lazarow, Zhuowen Tu

ICCV 2017 Introspective Neural Networks for Generative Modeling Justin Lazarow, Long Jin, Zhuowen Tu