科研进展：修订间差异

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'''Selected Paper'''

2025

#Shuangjie Li, etc. Graph Neural Networks with Coarse- and Fine-Grained Division for Mitigating Label Sparsity and Noise Learning Systems. Neural Networks[J], Accepted

#Shuangjie Li, etc. Graph Neural Networks with Coarse- and Fine-Grained Division for Mitigating Label Sparsity and Noise Learning Systems. '''''Neural Networks'''''[J], Accepted

#Changfeng Ma, Ran Bi, Jie Guo, Chongjun Wang, Yanwen Guo. Sparse Point Cloud Patches Rendering via Splitting 2D Gaussians. In '''''Proceedings of CVPR 2025''''', Accepted

#Jie Zhang, Yirong Yao,  Wei He, Yiqun Niu, Chongjun Wang. Regret Optimization Experience Replay in Off-policy Reinforcement Learning. In '''''Proceedings of ICASSP 2025''''', Accepted

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 '''<span style="font-family:微软雅黑; font-size:medium">Selected Paper</span>'''
 <p style="text-align:center"><span style="font-family:Times New Roman,Times,serif"><span style="font-size:larger">2025</span></span></p>
-#<span style="font-family:Times New Roman,Times,serif;"><span style="font-size:medium;">Shuangjie Li, etc. Graph Neural Networks with Coarse- and Fine-Grained Division for Mitigating Label Sparsity and Noise Learning Systems. Neural Networks[J],&nbsp;Accepted</span></span>
+#<span style="font-family:Times New Roman,Times,serif;"><span style="font-size:medium;">Shuangjie Li, etc. Graph Neural Networks with Coarse- and Fine-Grained Division for Mitigating Label Sparsity and Noise Learning Systems. '''''Neural Networks'''''[J],&nbsp;Accepted</span></span>
 #<span style="font-family:Times New Roman,Times,serif;"><span style="font-size:medium;">Changfeng Ma,&nbsp;Ran Bi,&nbsp;Jie Guo,&nbsp;Chongjun Wang,&nbsp;Yanwen Guo.&nbsp;Sparse Point Cloud Patches Rendering via Splitting 2D Gaussians.&nbsp;In&nbsp;'''''Proceedings of CVPR&nbsp;2025''''',&nbsp;Accepted</span></span>
 #<span style="font-family:Times New Roman,Times,serif;"><span style="font-size:medium;">Jie Zhang, Yirong Yao, &nbsp;Wei He, Yiqun Niu, Chongjun Wang. Regret Optimization Experience Replay in Off-policy Reinforcement Learning.</span></span><span style="font-family:Times New Roman,Times,serif;"><span style="font-size:medium;">&nbsp;In&nbsp;'''''Proceedings of ICASSP 2025''''',&nbsp;Accepted</span></span>

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