科学研究

研究进展

发表文章

1. Yang Zhang, Wenjing Zhou, Siyu Wang, Qin Zhou, Haixiang Wang, Bingqing Zhang, Juan Huang, Bo Hong* and Xiaoqin Wang*, The Roles of Subdivisions of Human Insula in Emotion Perception and Auditory Processing. Cerebral Cortex 29(2): 517-528, 2018

2. Ding Y, Gray K, Forrence A, Wang X, Huang J, A behavioral study on tonal working memory in musicians and non-musician, PLoS One, 13(8): e0201765, 2018

3. Chenggang Chen, Mingxiu Cheng, Tetsufumi Ito, # Sen Song *, Neuronal organization in the inferior colliculus revisited with cell-type-dependent monosynaptic tracing. Journal of Neuroscience, 38(13):3318-3332, 2018

4. Xianggen Liu, Lili Mou, Haotian Cui, Zhengdong Lu, Sen Song, JUMPER: Learning When to Make Classification Decisions in Reading, IJCAI, 2018

5. Li, Xuesong; Steffens, David C.; Potter, Guy G.; Guo, Hua; Song, Sen; Wang, Lihong*, Decreased between-hemisphere connectivity strength and network efficiency in geriatric depression, Human Brain Mapping, 38(1): 53~67, 2017

6. Jianfei Chen, Jun Zhu, Yee Whye Teh and Tong Zhang, Stochastic Expectation Maximization with Variance Reduction. In proc. of Advances in Neural Information Processing Systems (NeurIPS), Montreal, Canada, 2018.

7. Tianyu Pang, Chao Du, Yinpeng Dong and Jun Zhu, Towards Robust Detection of Adversarial Samples, In proc. of Advances in Neural Information Processing Systems (NeurIPS), Montreal, Canada, 2018. (Spotlight, NVIDIA Pioneering Research Award) (preprint: arXiv:1706.00633) (NVIDIA Pioneering Research Award)

8. Chongxuan Li, Max Welling, Jun Zhu and Bo Zhang, Graphical Generative Adversarial Networks, In proc. of Advances in Neural Information Processing Systems (NeurIPS), Montreal, Canada, 2018. (preprint: arXiv:1804.03429)

9. Yucen Luo, Tian Tian, Jiaxin Shi, Jun Zhu and Bo Zhang, Semi-crowdsourced Clustering with Deep Generative Models, In proc. of Advances in Neural Information Processing Systems (NeurIPS), Montreal, Canada, 2018.

10. Jianfei Chen, Jun Zhu, and Le Song, Stochastic Training of Graph Convolutional Networks, In Proc. of the 35th International Conference on Machine Learning (ICML), Stockholm, Sweden, 2018.

11. Yichi Zhou, Jun Zhu, and Jingwei Zhuo, Racing Thompson: an Efficient Algorithm for Thompson Sampling with Non-conjugate Priors, In Proc. of the 35th International Conference on Machine Learning (ICML), Stockholm, Sweden, 2018.

12. Tianyu Pang, Chao Du, and Jun Zhu, Max-Mahalanobis Linear Discriminant Analysis Networks, In Proc. of the 35th International Conference on Machine Learning (ICML), Stockholm, Sweden, 2018.

13. Jingwei Zhuo, Chang Liu, Jiaxin Shi, Jun Zhu, Ning Chen, and Bo Zhang, Message Passing Stein Variational Gradient Descent, In Proc. of the 35th International Conference on Machine Learning (ICML), Stockholm, Sweden, 2018.

14. Jiaxin Shi, Shengyang Sun, and Jun Zhu, A Spectral Approach to Gradient Estimation for Implicit Distributions, In Proc. of the 35th International Conference on Machine Learning (ICML), Stockholm, Sweden, 2018.

15. Li Xuesong, Ma Xiaodong, Li Lyu, Zhang Zhe, Zhang Xue, Tong Yan, Wang Lihong, Song Sen, Guo Hua, Dual-TRACER: High Resolution fMRI with Constrained Evolution Reconstruction. Neuroimage. 164:172-182,2018

16. Zhao, Zhe; Wang, Liang; Gao, Wenling; Hu, Fei; Zhang, Juen; Ren, Yuqi; Lin, Rui; Feng, Qiru; Cheng, Mingxiu; Ju, Dapeng; Chi, Qingsheng; Wang, Dehua; Song, Sen; Luo, Minmin; Zhan, Cheng*, A Central Catecholaminergic Circuit Controls Blood Glucose Levels during Stress. Neuron, 95(1): 138, 2017

获奖

1. 2018年脑与智能实验室师生的4 篇论文被机器学习领域的最高水平学术会议Advances in Neural InformationProcessing Systems 录用,并被列入中国计算机学会A类会议论文列表。其中,深度学习对抗样本的鲁棒检测的论文获得英伟达先锋研究奖 (NVIDIA Pioneering Research Award)

2. 2018年脑与智能实验室师生的论文Essay-Anchor Attentive Multi-Modal Bilinear Pooling for Textbook Question Answering获得IEEE International Conference on Multimedia and Expo (ICME)最佳人论文奖

3. 2019年脑与智能实验室学生组成的THANS团队参加国际大学生类脑计算大赛(ICCBC 2019)决赛并获得了一等奖和10万奖金。