Tianran Liu

According to our database, Tianran Liu authored at least 11 papers between 2019 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

RGB-LiDAR fusion for accurate 2D and 3D object detection.

Morteza Mousa Pasandi, Tianran Liu, Yahya Massoud, Robert Laganière

Mach. Vis. Appl., September, 2023

Use Your Imagination: A Detector-Independent Approach for LiDAR Quality Booster.

Zeping Zhang, Tianran Liu, Robert Laganière

IEEE Robotics Autom. Lett., 2023

What You See Is What You Detect: Towards better Object Densification in 3D detection.

Tianran Liu, Zeping Zhang, Morteza Mousa Pasandi, Robert Laganière

CoRR, 2023

CRCC: Collaborative Relation Context Consistency on the Knowledge Graph for Recommender Systems (S).

Li-E Wang, Huachang Zeng, Shenghan Li, Xianxian Li, Shengda Zhuo, Jiahua Xie, Bin Qu, Zhigang Sun, Tianran Liu

Proceedings of the 35th International Conference on Software Engineering and Knowledge Engineering, 2023

An Education-Oriented Collaborative Code Hosting Platform for Programming Courses.

Yao Liu, Tianran Liu, Chaopeng Yi, Yuepeng Xu, Ming Gao, Wei Wang, Aoying Zhou

Proceedings of the Computer Science and Education. Teaching and Curriculum, 2023

The Linearity of the Effect of Surprisal on Reading Times across Languages.

Weijie Xu, Jason Chon, Tianran Liu, Richard Futrell

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

2022

Higher-order elastic constitutive relation: Micro mechanism and application to acoustoelasticity.

Haibo Liu, Tianran Liu, Peixun Yang, Siqi Wang, Xingjian Liu, Te Li, Yongqing Wang

Comput. Phys. Commun., 2022

Sensor Fusion Operators for Multimodal 2D Object Detection.

Morteza Mousa Pasandi, Tianran Liu, Yahya Massoud, Robert Laganière

Proceedings of the Advances in Visual Computing - 17th International Symposium, 2022

Next POI Recommendation with Neighbor and Location Popularity.

Xianxian Li, Tianran Liu, Li-e Wang, Zhigang Sun, Huachang Zeng

Proceedings of the Neural Information Processing - 29th International Conference, 2022

Testing Pre-trained Language Models' Understanding of Distributivity via Causal Mediation Analysis.

Pangbo Ban, Yifan Jiang, Tianran Liu, Shane Steinert-Threlkeld

Proceedings of the Fifth BlackboxNLP Workshop on Analyzing and Interpreting Neural Networks for NLP, 2022

2019

Point Cloud Registration Based on MCMC-SA ICP Algorithm.

Haibo Liu, Tianran Liu, Yapeng Li, Mengmeng Xi, Te Li, Yongqing Wang

IEEE Access, 2019