组织学术会议
[1] 陈翌佳，程序委员会共同主席(co-chair), the 13th International Workshop on Frontiers in Algorithmics (FAW 2019), Sanya, China, April 29 - May 3, 2019.
[2] 黄萱菁，程序委员会联合主席，第十八届中国计算语言学大会（CCL 2019），2019年10月18日—20日，昆明
[3] Bin Li, Co-organizer, International Workshop on Deep Learning for Graphs and Structured Data Embedding at WWW-19, 13 May 2019, San Francisco, USA.
[4] 第六届中国声音与音乐技术会议（CSMT 2018），李伟，General Co-chair，2018.11.24-26，厦门理工学院。
[5] 路红，合作举办2019中国服务机器人大赛、中国服务机器人发展论坛暨机器人产业对接峰会, 2019年6月1日-2日，山东济南。
[6] 魏忠钰，第八届全国社交媒体处理大会，宣传主席，2019年8月16-18日，深圳，中国。
[7] 张文强，会议主席，机器人与人工智能，2019.5.17，复旦大学第三教学楼
[8] 张文强，会议主席，短视频与人工智能－抖音背后的那些黑科技，2018.12.20，复旦大学光华楼
[9] 应邀担任全世界最大蛋白质数据库UniProt科学顾问委员会（Scientific Advisory Board）委员 （2018-2022）
[10] 张军平，会议主席，第二届混合智能讲习班，2019.6.28-29，复旦大学逸夫楼一楼报告厅，参会人数：180人
老师及其学生参与国际学术会议
[1] 赖文星（硕士生）, the 13th International Workshop on Frontiers in Algorithmics (FAW 2019), Sanya, China, April 29 - May 3, 2019，大会报告《The Inapproximability of k-Dominating Set for Parameterized AC^0 Circuits》
[2] 陈翌佳，the 44th International Symposium on Mathematical Foundations of Computer Science, (MFCS 2019), August 26-30, 2019, Aachen, Germany, 2019. 大会报告《The Complexity of Homomorphism Indistinguishability》
[3] 姜育刚、陈绍祥，Thirty-Third AAAI Conference on Artificial Intelligence，2019年1月27-31日，美国，夏威夷，分组报告，Motion Guided Spatial Attention for Video Captioning.
[4] 陈绍祥，28th International Joint Conference on Artificial Intelligence，2019年8月10-16日，澳门，分组报告，Deep Learning for Video Captioning: A Review.
[5] Lingfei Jin, 46th International Colloquium on Automata, Languages and Programming( ICALP 2019), 8-12 July, 2019, Patras, Greece, Constructions of maximally recoverable local reconstruction codes，分组报告。
[6] 高永伟，ICASSP 2019，2019.5，伦敦，分组报告，“Vocal melody extraction via DNN-based pitch estimation and salience-based pitch refinement”
[7] 杨友钊，ACM International Conference on Multimedia 2019, (ACMMM2019), 21-25 Oct., 2019, Nice, France, Single Image Deraining via Recurrent Hierarchy Enhancement Network.
[7] 路红，“Image and Video Computing for Robot Applications”, 20-21 May, 2019, Fudan-Exeter Collaborative Workshop in AI & Big Data, Exeter University, UK. (Oral)
[9] 路红，“Visual Computing for Robot Applications”, 21-22 Dec., 2018，Fudan-Tsukuba AI&Big Data Collaboration Workshop, Tsukuba University, Japan. (Oral)
[10] 聂鑫垚，International Conference on Multimedia and Retrieval 2019, (ICMR2019), 10-13 June, 2019, 加拿大渥太华, Poster presentation，Weakly Supervised Image Retrieval via Coarse-scale Feature Fusion and Multi-level Attention Blocks.
[11] 杨友钊，IEEE International Conference on Multimedia and Expo 2019, (ICME2019) , 8-12 July, 2019，上海，Poster presentation, Single Image Deraining using Recurrent Multi-scale Aggregation and Enhancement Network.
[12] 路红，2019中国服务机器人大赛（2019中国机器人大赛服务机器人专项赛）及2019中国服务机器人发展论坛暨服务机器人产业对接峰会，2019年6月1日，山东济南，做学术报告。
[13] 路红，“六盘水市5G助力工业技术领域拓展应用论坛”（2019中国国际大数据产业博览会六盘水分会场活动），2019年5月25日，贵州六盘水，做学术报告
[14] 魏忠钰，ACL 2019, July 28 - August 2, Florence, Italy，分组报告，Bridging by Word: Image Grounded Vocabulary Construction for Visual Captioning
王思远，AAAI 2019，January 27 – February 1, 2019, Honolulu, Hawaii, USA，分组报告，A Multi-Agent Communication Framework for Question-Worthy Phrase Extraction and Question Generation
[15] 杨夙，Ubicomp, 2019.9.11-2019.9.13, 伦敦, 分组报告, Multi-view Commercial Hotness Prediction Using Context-aware Neural Network Ensemble
[16] 梁迪，EMNLP-IJCNLP 2019，2019.11.03-2019.11.07，中国香港，分组报告，Asynchronous Deep Interaction Network for Natural Language Inference
[17] 彭敏龙，The 33th AAAI Conference on Artificial Intelligence (AAAI 2019), 2019/01/27-02/01, 美国夏威夷，Trainable Undersampling for Class-Imbalance Learning
[18] 彭敏龙，Annual Meeting of the Association for Computational Linguistics (ACL 2019), 2019/07/28-08/02, 意大利弗洛伦萨，Distantly Supervised Named Entity Recognition using Positive-Unlabeled Learning
[19] 彭敏龙，International Joint Conference on Artificial Intelligence (IJCAI 2019), 2019/08/10-08/16, 中国澳门，Learning Task-Specific Representation for Novel Words in Sequence Labeling
[20] 桂韬，AAAI19，1.27-2.1，美国夏威夷，Long Short-Term Memory with Dynamic Skip Connections
[21] 朱亮，AAAI19，1.27-2.1，美国夏威夷，Cooperative Multimodal Approach to Depression Detection in Twitter
[22] 桂韬，SIGIR19，7.21-7.25，法国巴黎，Mention Recommendation in Twitter with Cooperative Multi-Agent Reinforcement Learning
[23] 桂韬，IJCAI19，8.10-8.16，中国澳门，CNN-Based Chinese NER with Lexicon Rethinking
[24] 桂韬，EMNLP19，11.3-11.7，中国香港，A Lexicon-Based Graph Neural Network for Chinese NER
[25] 顾康正，ICANN2019, 2019.9.19，德国，分组报告，Learning Camera-invariant Representation for Person Re-identification
[26] 逄钰， International Conference on Parallel Processing(ICPP 2019)，2019.8.5-2019.8.8, Kyoto, Japan, 分组报告，A Tale of Two (Flow) Tables: Demystifying Rule Caching in OpenFlow Switches