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新星论坛


日程安排

时间 内容 参与人
13:10-13:30 入场 N/A
13:30-13:55 开场致辞:给青年学者的话 Leslie Valiant
沈向洋
周靖人
13:55-14:00 全体嘉宾合影 Leslie Valiant,沈向洋,周靖人,梁小丹,王文冠,杨阳,童咏昕,许辰人,张兰
14:00-14:20 特邀报告1 梁小丹
Explainable AI with Deep Graph Reasoning
14:20-14:40 特邀报告2 王文冠
Learning Visual Relations using Graph Neural Networks
14:40-15:00 特邀报告3 杨阳
跨媒体智能分析与理解
茶歇
15:20-16:10 Panel: 沈向洋,周靖人
科研龙门阵:畅聊2019 顶尖科技趋势 梁小丹,王文冠,杨阳,童咏昕,许辰人,张兰
16:10-16:30 特邀报告4 童咏昕
Route Planning in Dynamic Ridesharing Services
16:30-16:50 特邀报告5 许辰人
Building Intelligence into Reflective Signs – The Cases of Visible Light Backscatter Communication for IoT and I2V Applications
16:50-17:10 特邀报告6 张兰
Cross-domain big data understanding, protection and sharing
17:10-17:30 抽奖  

活动简介


ACM China未来新星论坛是由ACM China YSCA(Young Scientists of Computing Academy)主办的一年一度学术大师与新秀相聚的盛会,是一场思想碰撞、灵感迸发的奇妙之旅,也是智慧的传承和梦想的起航。2019年的ACM China未来新星论坛-达摩院青橙奖论坛由ACM China和阿里巴巴联合主办。本次论坛邀请到学术界、工业界的重磅嘉宾,以及历届ACM中国新星奖、优博奖得主,首届达摩院青橙奖得主齐聚一堂,展开以未来五年顶尖科技趋势为主题的精彩报告和探讨。

ACM China 新星奖


为表彰中国计算机领域的青年学者所取得的研究成绩,并进一步推动青年学者在科研领域的发展和进步,从2014年起,ACM中国理事会设立ACM中国新星奖,每年评选出1-2名在计算机领域展现出突出科研潜力的青年学者为获奖者。该奖的选拔是基于候选者在计算机和(或)通信系统相关领域内,所创建的新的理念、模式、和新的系统等研究成果产生的影响,研究成果可以是理论、经验或实验方面的。深度和影响力都是评奖所考虑的重要因素。获奖者同时会获得1万人民币的奖励。颁奖仪式会在每年5月召开的ACM中国图灵大会期间举行。

ACM China 优秀博士论文奖


ACM中国优秀博士论文奖为表彰在计算机科学和工程领域,由中国的学术机构授予的,最优秀的博士论文而设立,以鼓励获奖者所做的专注的研究,以及取得的学术成就。从2014年开始,ACM中国优秀博士论文奖每年会颁发给1-2篇获得认可,并且影响力大的博士论文的作者,获奖者同时会获得1万人民币的奖励。颁奖仪式会在每年5月召开的ACM中国图灵大会期间举行。

达摩院青橙奖


“达摩院青橙奖”(DAMO Academy Young Fellow) 是阿里巴巴达摩院主办,面向大中华地区对科技进步有关键推动作用的青年学者的年度奖项。该奖项于2018年9月19日在阿里巴巴云栖大会正式启动,旨在发掘和支持从事基础科学、颠覆性技术和应用技术研究的优秀青年工作者。除每人100万人民币的现金奖励外,青橙奖获奖者将会被邀请至阿里巴巴达摩院进行产业合作的研讨,并有机会得到算力、技术与工程师团队支持,助推产业转化。“青橙”意为年青的橙子,虽尚显青涩,但只要有合适的生长环境,终能长成气味芬芳的成熟果实,其色彩也会由青色转为橙色。象征着阿里巴巴对青年科技工作者的支持与关怀。

论坛嘉宾


  莱斯利·瓦利安特
ACM 图灵奖获得者
ACM/AAAI Fellow
哈佛大学


   
  沈向洋
微软全球执行副总裁
美国工程院院士
ACM/IEEE Fellow


   
  周靖人
IEEE Fellow
阿里巴巴集团
   

论坛特邀讲者



梁小丹
2017 ACM China 优博奖
 
Dr. Xiaodan Liang is currently a Senior Research Director at DMAI Group. She was a Project Scientist at Carnegie Mellon University, working with Prof. Eric Xing. She received her PhD degree from Sun Yat-sen University in 2016. She has published over 80 cutting-edge papers on graph neural networks, deep reasoning, structure prediction, object detection, which have appeared in the most prestigious journals and conferences in the field, Google Citation 3100+. She serves as an Area Chair of ICCV 2019. She and her collaborators has also published the largest human parsing dataset to advance the research on human understanding and successfully organized the 1st Look Into Person (LIP) and 2nd Look Into Person (LIP) workshop and challenge on CVPR 2017 and CVPR 2018. She hosts the “Towards Causal, Explainable and Universal Medical Visual Diagnosis Workshop” on CVPR 2019. She also hosted the tutorial about “Structured Deep Learning for Pixel-wise Understanding” on ACM MM 2018. She served as the guest editors of Pattern Recognition Letters and journal of Multimedia Tools and Applications. She obtained 2018 ACM China Best Doctoral Dissertation Award and CCF Best Doctoral Dissertation Award. She won the 2nd place in Key Points Detection of Apparel Track of FashionAI Global Challenge 2018-Alibaba Cloud.

 

 


王文冠
2018 ACM China 优博奖
 
Wenguan Wang received his PhD degree from Beijing Institute of Technology in 2018. He is currently a senior scientist at Inception Institute of Artificial Intelligence, UAE. From 2016 to 2018, he was a joint Ph.D. candidate in University of California, Los Angeles, directed by Prof. Song-Chun Zhu. He has published about 30+ cutting-edge journal and conference papers such as IEEE TPAMI, IEEE TIP, IEEE TVCG, IEEE CVPR, IEEE ICCV, ECCV, AAAI. He was the program committee member of over 10+ international conferences like IEEE CVPR, IEEE ICCV, AAAI, IJCAI, and ECCV and regular reviewer for 20+ journals like IEEE TPAMI, IJCV, IEEE TIP, and IEEE TVCG. He also was the guest editor in Pattern Recognition and Neurocomputing. He received the Baidu Scholarship in 2016 and ACM China Best Doctoral Dissertation Award in 2019.

 

 


杨阳
2018 ACM China 新星奖
 
Dr. Yang Yang‘s research interests include cross-media intelligent analysis and social media analytics. He has made innovative research outcomes in cross-media retrieval, image/video hashing, visual semantic understanding, etc. He has published several high-quality research papers, including the Best Paper Award in ACM Multimedia 2017 (CCF A).

 

 


童咏昕
2018 达摩院青橙奖
 
Dr. Yongxin Tong is currently a distinguished researcher in the State Key Laboratory of Software Development Environment (SKLSDE), School of Computer Science and Engineering, Beihang University. He received his Ph.D. in Computer Science and Engineering from the Hong Kong University of Science and Technology (HKUST). His research interests include crowd intelligence, crowdsourcing, big spatiotemporal data analysis and federated learning. He has published over 60 papers in prestigious international journals (e.g. ACM TOIS and IEEE TKDE) and conferences (e.g. SIGMOD, SIGKDD, VLDB and ICDE). He is an associate editor for IEEE Transactions on Big Data and Frontiers of Computer Science. He also served as the PC members of multiple premier conferences, such as SIGMOD, VLDB, KDD, ICDE, AAAI and IJCAI. He received NSFC Excellent Young Scholar, Alibaba DAMO Academy Young Fellow in 2018, and the Excellent Demonstration Award from VLDB 2014.

 

 


许辰人
2018 达摩院青橙奖
 
Dr. Chenren Xu is a tenure-track assistant professor in the Department of Computer Science and a member of CECA at Peking University where he directs Software-hardware Orchestrated ARchitecture (SOAR) Lab since 2015. He earned his Ph.D. from WINLAB, Rutgers University and has held postdoctoral and visiting positions at Carnegie Mellon University, Microsoft Research and AT&T Shannon Labs. He is the recipient of 2018 Alibaba DAMO Academy Young Fellow and 2017 CCF-Intel Young Faculty awards. His research interests span wireless, networking and system, with a current focus on backscatter communication for low power IoT connectivity and future mobile Internet architecture for high mobility data networking. He is currently an associate editor of Proceedings of the ACM on IMWUT, and actively serving as organizing committee and/or technical program committee for SIGCOMM, MobiSys, UbiComp, SenSys and IPSN.

 

 


张兰
2015 ACM China 优博奖
2018 达摩院青橙奖
 
Dr. Lan Zhang is a research professor at the School of Computer Science and Technology, at University of Science and Technology of China. She received her Bachelor degree (2007) in School of Software at Tsinghua University, China, and her Ph.D. degree (2014) in the department of Computer Science and Technology, Tsinghua University, China. She received 2015 ACM China Doctoral Dissertation Award and CCF Outstanding Doctoral Dissertation Award. She was honored as Alibaba DAMO Academy Young Fellow in 2018. She also won the grand prize of National Collegiate Competition on Cloud Computing in 2018. Her research interests span mobile computing, privacy protection, data sharing and trading. She has published more than 40 papers in well-known conferences and journals, including SIGKDD, ACM MobiCom, IJCAI, IEEE INFOCOM, IEEE Transactions on Mobile Computing, etc. She has applied 3 United States patents and 24 Chinese patents, and 14 of them have been granted. She is serving as the PC members for multiple premier conferences, such as IEEE INFCOM,IEEE SECON, IEEE ICC, etc.