CFCS Publications 2019

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参考:中国计算机学会推荐国际学术刊物列表(2019):点击下载  网页链接

 

【期刊】

1. Fangwei Zhong, Peng Sun, Wenhan Luo, Tingyun Yan, Yizhou Wang, "AD-VAT+: An Asymmetric Dueling Mechanism for Learning and Understanding Visual Active Tracking," IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2019, in press.

 

2. Xin Yan, Cong Rao, Lin Lu, Andrei Sharf, Haisen Zhao, Baoquan Chen, "Strong 3D Printing by TPMS Injection," IEEE Transactions on Visualization and Computer Graphics (TVCG), 2019, in press.

 

3. Chenchen Li, Jialin Wang, Hongwei Wang, Miao Zhao, Wenjie Li, Xiaotie Deng, "Visual-Texual Emotion Analysis with Deep Coupled Video and Danmu Neural Networks," IEEE Transactions on Multimedia, 2019, in press.

 

4. Yukun Cheng, Xiaotie Deng, Mengqian Zhang, "Two-Tier Sharing in Electric Vehicle Service Market," IEEE Transactions on Cloud Computing, 2019, in press.

 

5. Qingnan Fan, Dongdong Chen, Lu Yuan, Gang Hua, Nenghai Yu, Baoquan Chen, "A General Decoupled Learning Framework for Parameterized Image Operators," IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2019, in press.

 

6. Wenhan Luo, Peng Sun, Fangwei Zhong, Tong Zhang, Yizhou Wang, "End-to-end Active Object Tracking and Its Real-world Deployment via Reinforcement Learning," IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2019, in press

 

7. Xiang Yan, Fan Ye, Yuanyuan Yang, Dongge Wang, Xiaotie Deng, "Incentive Facilitation for Peer Data Exchange in Crowdsensing," IEEE Transactions on Cloud Computing, 2019, in press.

 

8. Hao Peng, Lin Lu, Andrei Sharf, Baoquan Chen, "Fabricating QR codes on 3D objects using self-shadows," Computer-Aided Design, Vol. 114, pp. 91-100, September 2019.

 

9. Yinwei Wei, Xiang Wang, Weili Guan, Liqiang Nie, Zhouchen Lin, Baoquan Chen, "Neural Multimodal Cooperative Learning Toward Micro-Video Understanding," IEEE Transactions on Image Processing, Vol. 29, pp. 1-14, July 2019.

 

10. Ziyin Qu, Xinxin Zhang, Ming Gao,  Chenfanfu Jiang, Baoquan Chen, "Efficient and Conservative Fluids Using Bidirectional Mapping," ACM Transactions on Graphics (TOG), Vol. 38, No. 4, pp. 128: 1-12, July 2019.

 

11. Kfir Aberman, Rundi Wu, Dani Lischinski, Baoquan Chen, Daniel Cohen-Or, "Learning Character-Agnostic Motion for Motion Retargeting in 2D," ACM Transactions on Graphics (TOG), Vol. 38, No. 4, pp. 75: 1-14, July 2019.

 

12. Siyan Dong, Kai Xu, Qiang Zhou, Andrea Tagliasacchi, Shiqing Xin, Matthias Nießner, Baoquan Chen, "Multi-Robot Collaborative Dense Scene Reconstruction," ACM Transactions on Graphics (TOG), Vol. 38, No. 4, pp. 84: 1-16, July 2019.

 

13. Zhou Chen, Yukun Cheng, Xiaotie Deng, Qi Qi, Xiang Yan, "Agent incentives of strategic behavior in resource exchange," Discrete Applied Mathematics, Vol. 264, pp. 15-25, July 2019.

 

14. Kfir Aberman, Mingyi Shi, Jing Liao, Dani Lischinski, Chen Baoquan, Daniel Cohen-Or, "Deep Video-Based Performance Cloning," Computer Graphics Forum Eurographics (EG), Vol. 38, No. 2, pp. 219-233, June 2019. 

 

15. Chunyu Wang, Yizhou Wang, Zhouchen Lin, Alan Yuille, "Robust 3D Human Pose Estimation from Single Images or Video Sequences," IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI),  Vol. 41, No. 5, pp. 1227-1241, May 2019.

 

16. Ruipeng Gao, Bing Zhou, Fan Ye, Yizhou Wang, "Fast and Resilient Indoor Floor Plan Construction with a Single User," IEEE Transactions on Mobile Computing (TMC), Vol. 18, No. 5, pp. 1083-1097, May 2019.

 

17. Manyi Li, Akshay Gadi Patil, Kai Xu, Siddhartha Chaudhuri, Owais Khan, Ariel Shamir, Changhe Tu, Baoquan Chen, Daniel Cohen-Or, Hao Zhang, "GRAINS: Generative Recursive Autoencoders for INdoor Scenes," ACM Transactions on Graphics (TOG), Vol. 38, No. 2, pp. 12:1-16, April 2019.

 

18. Meng Liu, Liqiang Nie, Xiang Wang, Qi Tian, Baoquan Chen, "Online Data Organizer: Micro-Video Categorization by Structure-Guided Multimodal Dictionary Learning," IEEE Transactions on Image Processing (TIP), Vol. 28, No. 3, pp. 1235-1247, March 2019.

 

19. Yuqing Kong, Grant Schoenebeck, "An Information Theoretic Framework For Designing Information Elicitation Mechanisms That Reward Truth-telling," ACM Transactions on Economics and Computation (TEAC), Vol. 7, No. 1, pp. 2: 1-33, February 2019.

 

20. Yunhai Wang, Yanyan Wang, Haifeng Zhang, Yinqi Sun, Chi-Wing Fu, Michael Sedlmair, Baoquan Chen and Oliver Deussen, "Structure-aware Fisheye Views for Efficient Large Graph Exploration," IEEE Transactions on Visualization and Computer Graphics (TVCG), Vol. 25, No. 1, pp. 566-575, January 2019.

 

21. Yunhai Wang, Xin Chen, Tong Ge, Chen Bao, Michael Sedlmair, Chi-Wing Fu, Oliver Deussen, Baoquan Chen, "Optimizing Color Assignment for Perception of Class Separability in Multiclass Scatterplots," IEEE Transactions on Visualization and Computer Graphics (TVCG), Vol. 25, No. 1, pp. 820-829, January 2019.

 

22. Eleftherios Anastasiadis, Xiaotie Deng, Piotr Krysta, Minming Li, Han Qiao, Jinshan Zhang, "Network Pollution Games," Algorithmica, Vol. 81, No. 1, pp. 124-166, January 2019.

 

 

【会议】

1. Yuqing Kong, Christopher Peikert, Grant Schoenebeck, Biaoshuai Tao, "Outsourcing Computation: the Minimal Refereed Mechanism," the 15th Conference on Web and Internet Economics (WINE), New York, USA, December 10-12, 2019.

 

2. Yilun Xu*, Peng Cao*, Yuqing Kong, Yizhou Wang, "L_DMI: A Novel Information-theoretic Loss Function for Training Deep Nets Robust to Label Noise," the Thirty-third Conference on Neural Information Processing Systems (NeurIPS), Vancouver, Canada, December 8-14, 2019.

 

3. Botong Wu, Xinwei Sun, Lingjing Hu, Yizhou Wang, "Learning with Unsure Data for Medical Image Diagnosis," International Conference in Computer Vision (ICCV), Seoul, South Korea, October 27 - November 2, 2019.

 

4. Hai Ci, Chunyu Wang, Xiaoxuan Ma, Yizhou Wang, "Optimizing Network Structure for 3D Human Pose Estimation," International Conference in Computer Vision (ICCV), Seoul, South Korea, October 27 - November 2, 2019.

 

5. Jingyu Liu, Gangming Zhao, Yu Fei, Ming Zhang, Yizhou Wang, Yizhou Yu, "Align, Attend and Locate: Chest X-ray Diagnosis via Contrast Induced Attention Network with Limited Supervision," International Conference in Computer Vision (ICCV), Seoul, South Korea, October 27 - November 2, 2019.

 

6. Daochang Liu, Tingting Jiang, Yizhou Wang, Rulin Miao, Fei Shan, Ziyu Li, "Surgical Skill Assessment on In-Vivo Clinical Data via the Clearness of Operating Field," the 22nd International Conference on Medical Image Computing and Computer Assisted Interventions (MICCAI), ShenZhen, China, pp. 476-484, October 13-17, 2019.

 

7. Yuhang Liu, Shu Zhang, Ling Luo, Qianyi Zhang, Fandong Zhang, Xiuli Li, Yizhou Wang, Yizhou Yu, "From Unilateral to Bilateral Learning: Detecting Mammogram Mass with Contrasted Bilateral Network," the 22nd International Conference on Medical Image Computing and Computer Assisted Interventions (MICCAI), ShenZhen, China, pp. 477-485, October 13-17, 2019.

 

8. Zihao Li, Shu Zhang, Junge Zhang, Kaiqi Huang, Yizhou Wang, Yizhou Yu, "MVP-Net: Multi-view FPN with Position-aware Attention for Deep Universal Lesion Detection," the 22nd International Conference on Medical Image Computing and Computer Assisted Interventions (MICCAI), ShenZhen, China, pp. 13-21, October 13-17, 2019.

 

9. Fandong Zhang, Ling Luo, Xinwei Sun, Zhen Zhou, Xiuli Li, Yizhou Wang, Yizhou Yu, "Cascaded Generative and Discriminative Learning for Microcalcification Detection in Breast Mammograms," IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR), Long Beach, USA, pp. 12578-12586, June 16-20, 2019. 

 

10. Yingming Zuo, Weichao Qiu, Lingxi Xie, Fangwei Zhong, Yizhou Wang, Alan Yuille, "CRAVES: Controlling Robotic Arm With a Vision-Based Economic System," IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR), Long Beach, USA, pp. 4214-4223, June 16-20, 2019. 

 

11. Tianyang Zhao, Yifei Xu, Mathew Monfort, Wongun Choi, Chris Maker, Yibiao Zhao, Yizhou Wang, Yingnian Wu, "Multi-Agent Tensor Fusion for Contextual Trajectory Prediction," IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR), Long Beach, USA, pp. 12126-12134, June 16-20, 2019. 

 

12. Daochang Liu, Tingting Jiang, Yizhou Wang, "Completeness Modeling and Context Separation for Weakly Supervised Temporal Action Localization," IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR), Long Beach, USA, pp. 1298-1307, June 16-20, 2019. 

 

13. Peng Cao, Yilun Xu, Yuqing Kong, Yizhou Wang, "Max-MIG: an Information Theoretic Approach for Joint Learning from Crowds," Seventh International Conference on Learning Representations (ICLR), New Orleans, USA, May 6-9, 2019.

 

14. Fangwei Zhong, Peng Sun, Wenhan Luo, Tingyun Yan, Yizhou Wang, "AD-VAT: An Asymmetric Dueling mechanism for learning Visual Active Tracking," Seventh International Conference on Learning Representations (ICLR), New Orleans, USA, May 6-9, 2019.

 

15. Yukun Cheng, Xiaotie Deng, Mengqian Zhang, "A Novel Business Model for Electric Car Sharing," International Workshop on Frontiers in Algorithmics (FAW), Sanya, China, pp. 76-87, April 29 - May 3, 2019.

 

16. Xiaotie Deng, Keyu Zhu, "On Bayesian Epistemology of Myerson Auction," International Workshop on Frontiers in Algorithmics (FAW), Sanya, China, pp. 183-196, April 29 - May 3, 2019.

 

17. Chenchen Li, Xiang Yan, Xiaotie Deng, Yuan Qi, Wei Chu, Le Song, Junlong Qiao, Jianshan He, Junwu Xiong, "Latent Dirichlet Allocation for Internet Price War," the 33rd AAAI Conference on Artificial Intelligence (AAAI), Hawaii, USA, pp. 639-646, January 27 - February 1, 2019.

 

18. Biqiao Zhang, Yuqing Kong, Georg Essl, Emily Mower Provost, "f-Similarity Preservation Loss for Soft Labels: A Demonstration on Cross-Corpus Speech Emotion Recognition," the 33rd AAAI Conference on Artificial Intelligence (AAAI), Hawaii, USA, pp. 5725-5732, January 27 - February 1, 2019.