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.

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.

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).

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.

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.

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.