121. Coelho, L.P., et al., Towards the biogeography of prokaryotic genes. Nature, 2021. Towards the biogeography of prokaryotic genes.pdf

122. Wu, S., et al., Treatment regimens may compromise gut-microbiome-derived signatures for liver cirrhosis. Cell Metabolism, 2021. 33(3): p. 455-456. Treatment regimens may compromise gut-microbiome-derived signatures for liver cirrhosis.pdf

123. Vatansever, D., J. Smallwood, and E. Jefferies, Varying demands for cognitive control reveals shared neural processes supporting semantic and episodic memory retrieval. Nature Communications, 2021. 12(1). Varying demands for cognitive control reveals shared neural processes supporting semantic and episodic memory retrieval.pdf

124. Tang, Y.-m., et al., White Matter Microstructural Damage Associated With Gait Abnormalities in Idiopathic Normal Pressure Hydrocephalus. Frontiers in Aging Neuroscience, 2021. 13. White Matter Microstructural Damage Associated With Gait Abnormalities in Idiopathic Normal Pressure Hydrocephalus.pdf

125. Yang, D., et al., Zfx-induced upregulation of UBE2J1 facilitates endometrial cancer progression via PI3K/AKT pathway. Cancer Biology & Therapy, 2021. 22(3): p. 238-247.

126. Cheng, W., et al., Sleep duration, brain structure, and psychiatric and cognitive problems in children. Molecular psychiatry, 2021. 26(8): p. 3992-4003.

127. Wang, Q., et al., R1ρ at high spin-lock frequency could be a complementary imaging biomarker for liver iron overload quantification. Magnetic Resonance Imaging . 2021, 75: p. 141-148.  R1ρ at high spin-lock frequency could be a complementary imaging biomarker for liver iron overload quantification.pdf

128. Huang, Z., et al., When age-invariant face recognition meets face age synthesis: A multi-task learning framework. In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition 2021, pp. 7282-7291.  When age-invariant face recognition meets face age synthesis A multi-task learning framework.pdf

129. Huang, Z., et al., AgeFlow: Conditional Age Progression and Regression with Normalizing Flows. In Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021, 743-750. AgeFlow Conditional Age Progression and Regression with Normalizing Flows.pdf

130. Lei, Y., et al ., Strided Self-Supervised Low-Dose CT Denoising for Lung Nodule Classification. Phenomics, 2021. 1(6), pp.257-268. Strided Self-Supervised Low-Dose CT Denoising for Lung Nodule Classification.pdf

131. Huang, Z., et al., DU-GAN: Generative Adversarial Networks with Dual-Domain U-Net Based Discriminators for Low-Dose CT Denoising. IEEE Transactions on Instrumentation and Measurement. 2021.  DU-GAN Generative Adversarial Networks with Dual-Domain U-Net Based Discriminators for Low-Dose CT Denoising..pdf

132. Zhu, H., et al., Convolutional ordinal regression forest for image ordinal estimation. IEEE Transactions on Neural Networks and Learning Systems, 2021. Convolutional ordinal regression forest for image ordinal estimation.pdf

133. Wang KX., et al., Non-invasive Assessment of Hepatic Venous Pressure Gradient (HVPG) Based on MR Flow Imaging and Computational Fluid Dynamics. MICCAI 2021, 12907, pp.1-10, 2021. Non-invasive Assessment of Hepatic Venous Pressure Gradient (HVPG) Based on MR Flow Imaging and Computational Fluid Dynamics.pdf

134. Rong Zhu., Mattia Rigotti., Deep Bandits Show-Off: Simple and Efficient Exploration with Deep Networks. NeurIPS 2021. Deep Bandits Show-Off Simple and Efficient Exploration with Deep Networks.pdf

135. Rong Zhu., Mattia Rigotti., Self-correcting Q-learning. AAAI 2021. Self-correcting Q-Learning.pdf

136. Han, X., et al., Detecting Extremely Small Lesions in Mouse Brain MRI with Point Annotations via Multi-task Learning. Lecture Notes in Computer Science; 2021, 12966: pp. 498-506. De tecting Extremely Small Lesions in Mouse Brain MRI with Point Annotations via Multi-task Learning.pdf

137. Wang L., et al., Association of specific biotypes in patients with Parkinson disease and disease progression. Neurology, 2021.95(11):E1445-E1660.  Association of specific biotypes in patien ts with Parkinson disease and disease progression.pdf

138. 肖子凡、刘逸群、李楚溪、张力、王守岩、肖晓。基于时移和片组注意力融合的双流行为识别网络。2021，《计算机系统应用》。 基于时移和片组注意力融合的双流行为识别网络.pdf

139. 赵张，汪静莹，耿馨佚，朱廷劭，王守岩。融合注意力机制与双向长短时记忆网络的语音分析抑郁识别方法。2021，《复旦学报（自然科学版）》。  融合注意力机制与双向长短时记忆网络的语音分析抑郁识别方法.pdf