Haibing Wu - RankMe

18 papers B 2Journal 14Unranked 2

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	InfraDiffusion: zero-shot depth map restoration with diffusion models and prompted segmentation from sparse infrastructure point clouds. CoRR Yixiong Jing, Cheng Zhang, Haibing Wu, Guangming Wang, Olaf Wysocki, Brian Sheil
2022	J	`jnl`	Load Effect of Automated Truck Platooning on Highway Bridges and Loading Strategy. Sensors Tianyang Ling, Lu Deng, Wei He, Haibing Wu, Jiayu Deng
2021	J	`jnl`	A Standalone RFID-Based Mobile Robot Navigation Method Using Single Passive Tag. IEEE Trans Autom. Sci. Eng. Haibing Wu, Bo Tao, Zeyu Gong, Zhouping Yin, Han Ding
2021	J	`jnl`	A UHF RFID-Based Dynamic Object Following Method for a Mobile Robot Using Phase Difference Information. IEEE Trans. Instrum. Meas. Chong Wu, Bo Tao, Haibing Wu, Zeyu Gong, Zhouping Yin
2021	J	`jnl`	An RFID-Based Mobile Robot Localization Method Combining Phase Difference and Readability. IEEE Trans Autom. Sci. Eng. Bo Tao, Haibing Wu, Zeyu Gong, Zhouping Yin, Han Ding
2019	J	`jnl`	A Fast UHF RFID Localization Method Using Unwrapped Phase-Position Model. IEEE Trans Autom. Sci. Eng. Haibing Wu, Bo Tao, Zeyu Gong, Zhouping Yin, Han Ding
2017	J	`jnl`	Balancing between over-weighting and under-weighting in supervised term weighting. Inf. Process. Manag. Haibing Wu, Xiaodong Gu, Yiwei Gu
2017	J	`jnl`	Cascaded Convolutional Neural Networks for Aspect-Based Opinion Summary. Neural Process. Lett. Xiaodong Gu, Yiwei Gu, Haibing Wu
2016	—	`conf`	An Efficient RFID-Based Localization Method with Mobile Robot. ICIRA (1) Haibing Wu, Zeyu Gong, Bo Tao, Zhouping Yin
2016	B	`conf`	Aspect-based Opinion Summarization with Convolutional Neural Networks. IJCNN Haibing Wu, Yiwei Gu, Shangdi Sun, Xiaodong Gu
2016	J	`jnl`	Balancing Between Over-Weighting and Under-Weighting in Supervised Term Weighting. CoRR Haibing Wu, Xiaodong Gu
2015	J	`jnl`	Aspect-based Opinion Summarization with Convolutional Neural Networks. CoRR Haibing Wu, Yiwei Gu, Shangdi Sun, Xiaodong Gu
2015	—	`conf`	Max-Pooling Dropout for Regularization of Convolutional Neural Networks. ICONIP (1) Haibing Wu, Xiaodong Gu
2015	J	`jnl`	Max-Pooling Dropout for Regularization of Convolutional Neural Networks. CoRR Haibing Wu, Xiaodong Gu
2015	J	`jnl`	Towards Dropout Training for Convolutional Neural Networks. CoRR Haibing Wu, Xiaodong Gu
2015	J	`jnl`	Towards dropout training for convolutional neural networks. Neural Networks Haibing Wu, Xiaodong Gu
2014	B	`conf`	Reducing Over-Weighting in Supervised Term Weighting for Sentiment Analysis. COLING Haibing Wu, Xiaodong Gu
2010	J	`jnl`	The Optimal Sensing Coverage for Road Surveillance. Wirel. Sens. Netw. Xiangfu Cheng, Ping Liu, Zhigang Chen, Haibing Wu, Xihui Fan