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关键词：科研展示
北京大学前沿计算研究中心及图灵班科研展示
北京大学前沿计算研究中心及图灵班科研展示，通过成果报告、海报展示等环节，为同学们提供一个科研交流、成果展示的平台，拓宽学术视野、激发科研热情，同行间交流经验，跨领域相互学习，还可以寻找合作机会哦~
展 示 日 程
时间：6月22日（周六）9:00-11:50 地点：北京大学静园五院204室 |
08:40-09:00 签到入场 |
09:00-09:10 开幕致辞 |
09:10-10:10 成果汇报 |
10:10-11:10 海报展示 |
11:10-11:30 投票统计 |
11:30-11:50 颁奖仪式 |
海 报 列 表
+ 作者仅列出报告学生和指导老师
* Equal contribution
Session A |
Multi-Robot Collaborative Dense Scene Reconstruction Siyan Dong, Qiang Zhou, Baoquan Chen |
Flow Around Porous Object Mengdi Wang, Bin Wang, Bo Zhu |
CRAVES: Controlling Robotic Arm with a Vision-based, Economic System Fangwei Zhong, Yizhou Wang |
AD-VAT: An Asymmetric Dueling mechanism for learning Visual Active Tracking Fangwei Zhong, Yizhou Wang |
Session B |
On the Complexity of Sequential Posted Pricing Tao Xiao, Xiaotie Deng |
Cooperation Enforcement and Collusion Resistance in Repeated Public Goods Games Kai Li |
Decentralized Crowdsourcing Data Market Yiping Ma, Yifan Wu, Yuqing Kong |
Session C |
Learning Character-Agnostic Motion for Motion Retargeting in 2D Rundi Wu, Baoquan Chen |
Learning Camera Behavior from Real Movies Hongda Jiang, Baoquan Chen |
Video Object Segmentation by Learning Location-Sensitive Embeddings Hai Ci, Chunyu Wang, Yizhou Wang |
Effective Master-Slave Communication On A Multi-Agent Deep Reinforcement Learning System Xiangyu Kong, Yizhou Wang |
Session D |
Artificial Neural Networks are Born Equal Chen Gong, Mengzhi Shi, Zhide Wei, Liwei Wang |
Max-MIG: An Information Theoretic Approach for Joint Learning from Crowds Peng Cao*, Yilun Xu*, Yuqing Kong, Yizhou Wang |
L_{DMI}: An information theoretic noise-robust loss Yilun Xu*, Peng Cao*, Yuqing Kong, Yizhou Wang |
Semi-Supervised Multi-Modal Learning with f-Multi-Information Maximization Peng Cao*, Yilun Xu*, Yuqing Kong, Yizhou Wang |
Efficient Training of BERT by Progressively Stacking Linyuan Gong, Liwei Wang |
近 期 热 点
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