教育背景
2009年9月-2013年7月 清华大学软件学院 学士学位
2013年8月-2018年7月 清华大学软件学院 博士学位
工作履历
2018年7月-2020年10月 清华大学自动化系 博士后
2020年11月至今 清华大学信息国家研究中心 助理研究员
学术兼职
AAAI-21、IJCAI-21 资深程序委员（Senior PC）
CICAI-21 出版主席
CVPR-19 GigaVision workshop 联合主席
IEEE TPAMI、TIP、CVPR、ICCV、ICML、NeurIPS等国际期刊、会议审稿人
社会兼职
中国人工智能学会青年工作委员会副秘书长
研究领域
脑启发的人工智能，机器学习
光电智能计算
智慧医疗
研究概况
近五年以第一/通讯作者发表CCF-A类期刊、会议论文25篇
申请国家发明专利14项，授权2项；授权软件著作权6项
谷歌学术：https://scholar.google.com/citations?user=PNMUgAoAAAAJ&hl=en
DBLP：https://dblp.org/pid/132/7979.html
奖励与荣誉
中国人工智能学会吴文俊科技进步一等奖（2020，排名3/15）
中国电子学会科技进步一等奖（2019，排名4/7）
清华大学优秀博士后（2020）
博士后创新人才支持计划（2018）
清华大学“学术新秀”（2018）
清华大学特等奖学金（2017）
百度学者（2016）
中国人工智能学会优秀博士论文提名奖（2019）
学术成果
期刊论文：
[j1] Hui Chen, Guiguang Ding, Zijia Lin, Yuchen Guo, Caifeng Shan, Jungong Han: Image Captioning with Memorized Knowledge. Cogn. Comput. 13(4): 807-820 (2021)
[j2] Guiguang Ding, Yuchen Guo, Kai Chen, Chaoqun Chu, Jungong Han, Qionghai Dai: DECODE: Deep Confidence Network for Robust Image Classification. IEEE Trans. Image Process. 28(8): 3752-3765 (2019)
[j3] Gengshen Wu, Jungong Han, Yuchen Guo, Li Liu, Guiguang Ding, Qiang Ni, Ling Shao: Unsupervised Deep Video Hashing via Balanced Code for Large-Scale Video Retrieval. IEEE Trans. Image Process. 28(4): 1993-2007 (2019)
[j4] Yuchen Guo, Guiguang Ding, Jungong Han: Robust Quantization for General Similarity Search. IEEE Trans. Image Process. 27(2): 949-963 (2018)
[j5] Yuchen Guo, Guiguang Ding, Li Liu, Jungong Han, Ling Shao: Learning to Hash With Optimized Anchor Embedding for Scalable Retrieval. IEEE Trans. Image Process. 26(3): 1344-1354 (2017)
[j6] Yuchen Guo, Guiguang Ding, Jungong Han, Yue Gao: Zero-Shot Learning With Transferred Samples. IEEE Trans. Image Process. 26(7): 3277-3290 (2017)
[j7] Guiguang Ding, Jile Zhou, Yuchen Guo, Zijia Lin, Sicheng Zhao, Jungong Han: Large-scale image retrieval with Sparse Embedded Hashing. Neurocomputing 257: 24-36 (2017)
[j8] Guiguang Ding, Yuchen Guo, Jile Zhou, Yue Gao: Large-Scale Cross-Modality Search via Collective Matrix Factorization Hashing. IEEE Trans. Image Process. 25(11): 5427-5440 (2016)
会议论文：
[c1] Zheng Wang, Jialong Wang, Yuchen Guo, Zhiguo Gong: Zero-shot Node Classification with Decomposed Graph Prototype Network. KDD 2021: 1769-1779
[c2] Yuwei He, Xiaoming Jin, Guiguang Ding, Yuchen Guo, Jungong Han, Jiyong Zhang, Sicheng Zhao: Heterogeneous Transfer Learning with Weighted Instance-Correspondence Data. AAAI 2020: 4099-4106
[c3] Xueyang Wang, Xiya Zhang, Yinheng Zhu, Yuchen Guo, Xiaoyun Yuan, Liuyu Xiang, Zerun Wang, Guiguang Ding, David J. Brady, Qionghai Dai, Lu Fang: PANDA: A Gigapixel-Level Human-Centric Video Dataset. CVPR 2020: 3265-3275
[c4] Yuchen Guo, Guiguang Ding, Jungong Han, Hang Shao, Xin Lou, Qionghai Dai: Zero-shot Learning with Many Classes by High-rank Deep Embedding Networks. IJCAI 2019: 2428-2434
[c5] Yuchen Guo, Guiguang Ding, Jungong Han, Chenggang Yan, Jiyong Zhang, Qionghai Dai: Landmark Selection for Zero-shot Learning. IJCAI 2019: 2435-2441
[c6] Xiaohan Ding, Yuchen Guo, Guiguang Ding, Jungong Han: ACNet: Strengthening the Kernel Skeletons for Powerful CNN via Asymmetric Convolution Blocks. ICCV 2019: 1911-1920
[c7] Yuchen Guo, Guiguang Ding, Jungong Han, Xiaohan Ding, Sicheng Zhao, Zheng Wang, Chenggang Yan, Qionghai Dai: Dual-View Ranking with Hardness Assessment for Zero-Shot Learning. AAAI 2019: 8360-8367
[c8] Xiaohan Ding, Guiguang Ding, Yuchen Guo, Jungong Han, Chenggang Yan: Approximated Oracle Filter Pruning for Destructive CNN Width Optimization. ICML 2019: 1607-1616
[c9] Xiaohan Ding, Guiguang Ding, Yuchen Guo, Jungong Han: Centripetal SGD for Pruning Very Deep Convolutional Networks With Complicated Structure. CVPR 2019: 4943-4953
[c10] Xiaohan Ding, Guiguang Ding, Xiangxin Zhou, Yuchen Guo, Jungong Han, Ji Liu: Global Sparse Momentum SGD for Pruning Very Deep Neural Networks. NeurIPS 2019: 6379-6391
[c11] Yuchen Guo, Xin Zhao, Guiguang Ding, Jungong Han: On Trivial Solution and High Correlation Problems in Deep Supervised Hashing. AAAI 2018: 2240-2247
[c12] Yuchen Guo, Guiguang Ding, Jungong Han, Sheng Tang: Zero-Shot Learning With Attribute Selection. AAAI 2018: 6870-6877
[c13] Yuchen Guo, Guiguang Ding, Jungong Han, Sicheng Zhao, Bin Wang: Implicit Non-linear Similarity Scoring for Recognizing Unseen Classes. IJCAI 2018: 4898-4904
[c14] Jing Zhong, Guiguang Ding, Yuchen Guo, Jungong Han, Bin Wang: Where to Prune: Using LSTM to Guide End-to-end Pruning. IJCAI 2018: 3205-3211
[c15] Xin Zhao, Liufang Sang, Guiguang Ding, Yuchen Guo, Xiaoming Jin: Grouping Attribute Recognition for Pedestrian with Joint Recurrent Learning. IJCAI 2018: 3177-3183
[c16] Yuchen Guo, Guiguang Ding, Yue Gao, Jungong Han: Active Learning with Cross-Class Similarity Transfer. AAAI 2017: 1338-1344
[c17] Yuchen Guo, Guiguang Ding, Jungong Han, Yue Gao: Zero-Shot Recognition via Direct Classifier Learning with Transferred Samples and Pseudo Labels. AAAI 2017: 4061-4067
[c18] Yuchen Guo: Problems in Large-Scale Image Classification. AAAI 2017: 5038-5039
[c19] Yuchen Guo, Guiguang Ding, Jungong Han, Yue Gao: SitNet: Discrete Similarity Transfer Network for Zero-shot Hashing. IJCAI 2017: 1767-1773
[c20] Yuchen Guo, Guiguang Ding, Jungong Han, Yue Gao: Synthesizing Samples for Zero-shot Learning. IJCAI 2017: 1774-1780
[c21] Gengshen Wu, Li Liu, Yuchen Guo, Guiguang Ding, Jungong Han, Jialie Shen, Ling Shao: Unsupervised Deep Video Hashing with Balanced Rotation. IJCAI 2017: 3076-3082
[c22] Xin Zhao, Guiguang Ding, Yuchen Guo, Jungong Han, Yue Gao: TUCH: Turning Cross-view Hashing into Single-view Hashing via Generative Adversarial Nets. IJCAI 2017: 3511-3517
[c23] Yuchen Guo, Guiguang Ding, Yuqi Wang, Xiaoming Jin: Active Learning with Cross-Class Knowledge Transfer. AAAI 2016: 1624-1630
[c24] Yuchen Guo, Guiguang Ding, Xiaoming Jin, Jianmin Wang: Transductive Zero-Shot Recognition via Shared Model Space Learning. AAAI 2016: 3434-3500
[c25] Yuchen Guo, Guiguang Ding, Yue Gao, Jianmin Wang: Semi-Supervised Active Learning with Cross-Class Sample Transfer. IJCAI 2016: 1526-1532
[c26] Yuchen Guo, Guiguang Ding, Jungong Han, Xiaoming Jin: Robust Iterative Quantization for Efficient ℓp-norm Similarity Search. IJCAI 2016: 3382-3388
[c27] Yuchen Guo, Guiguang Ding, Xiaoming Jin, Jianmin Wang: Learning Predictable and Discriminative Attributes for Visual Recognition. AAAI 2015: 3783-3789
[c28] Guiguang Ding, Yuchen Guo, Jile Zhou: Collective Matrix Factorization Hashing for Multimodal Data. CVPR 2014: 2083-2090
