Guangjian Tian

According to our database, Guangjian Tian authored at least 30 papers between 2008 and 2024.

Collaborative distances:

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

2024

GMPC: Geometric Model Predictive Control for Wheeled Mobile Robot Trajectory Tracking.

Jiawei Tang, Shuang Wu, Bo Lan, Yahui Dong, Yuqiang Jin, Guangjian Tian, Wen-an Zhang, Ling Shi

IEEE Robotics Autom. Lett., May, 2024

ROS-LLM: A ROS framework for embodied AI with task feedback and structured reasoning.

Christopher E. Mower, Yuhui Wan, Hongzhan Yu, Antoine Grosnit, Jonas Gonzalez-Billandon, Matthieu Zimmer, Jinlong Wang, Xinyu Zhang, Yao Zhao, Anbang Zhai, Puze Liu, Davide Tateo, Cesar Cadena, Marco Hutter, Jan Peters, Guangjian Tian, Yuzheng Zhuang, Kun Shao, Xingyue Quan, Jianye Hao, Jun Wang, Haitham Bou-Ammar

CoRR, 2024

Reinforcement Learning for Tackling Energy-Saving and Energy-Balance Dilemma of Cluster-Based Routing Protocols in WSNs.

Yan Wang, Ke Deng, Yongli Ren, Jeffrey Chan, Guangjian Tian, Christian S. Jensen

IEEE Access, 2024

Safe Table Tennis Swing Stroke with Low-Cost Hardware.

Francesco Cursi, Marcus Kalander, Shuang Wu, Xidi Xue, Yu Tian, Guangjian Tian, Xingyue Quan, Jianye Hao

Proceedings of the IEEE International Conference on Robotics and Automation, 2024

2023

Fast Gumbel-Max Sketch and its Applications.

Yuanming Zhang, Pinghui Wang, Yiyan Qi, Kuankuan Cheng, Junzhou Zhao, Guangjian Tian, Xiaohong Guan

IEEE Trans. Knowl. Data Eng., September, 2023

Semi-supervised node classification via fine-grained graph auxiliary augmentation learning.

Jia Lv, Kaikai Song, Qiang Ye, Guangjian Tian

Pattern Recognit., May, 2023

Encoding Recurrence into Transformers.

Feiqing Huang, Kexin Lu, Yuxi Cai, Zhen Qin, Yanwen Fang, Guangjian Tian, Guodong Li

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Cross-Layer Retrospective Retrieving via Layer Attention.

Yanwen Fang, Yuxi Cai, Jintai Chen, Jingyu Zhao, Guangjian Tian, Guodong Li

Proceedings of the Eleventh International Conference on Learning Representations, 2023

2022

Understanding and Mitigating Data Contamination in Deep Anomaly Detection: A Kernel-based Approach.

Shuang Wu, Jingyu Zhao, Guangjian Tian

Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

Understanding Policy Gradient Algorithms: A Sensitivity-Based Approach.

Shuang Wu, Ling Shi, Jun Wang, Guangjian Tian

Proceedings of the International Conference on Machine Learning, 2022

2021

Streaming Algorithms for Estimating High Set Similarities in LogLog Space.

Yiyan Qi, Pinghui Wang, Yuanming Zhang, Qiaozhu Zhai, Chenxu Wang, Guangjian Tian, John C. S. Lui, Xiaohong Guan

IEEE Trans. Knowl. Data Eng., 2021

Decentralized Max-Min Resource Allocation for Monotonic Utility Functions.

Shuang Wu, Xi Peng, Guangjian Tian

Proceedings of the 2021 IEEE Conference on Computer Communications Workshops, 2021

State-Aware Value Function Approximation with Attention Mechanism for Restless Multi-armed Bandits.

Shuang Wu, Jingyu Zhao, Guangjian Tian, Jun Wang

Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

Flexible O&M for Telecom Networks at Huawei: A Language Model-based Approach.

Shuang Wu, Zhen Qin, Zhen Wang, Siwei Rao, Qiang Ye, Xingyue Quan, Guangjian Tian

Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

Synergetic Learning of Heterogeneous Temporal Sequences for Multi-Horizon Probabilistic Forecasting.

Longyuan Li, Jihai Zhang, Junchi Yan, Yaohui Jin, Yunhao Zhang, Yanjie Duan, Guangjian Tian

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

Fast Generating A Large Number of Gumbel-Max Variables.

Yiyan Qi, Pinghui Wang, Yuanming Zhang, Junzhou Zhao, Guangjian Tian, Xiaohong Guan

Proceedings of the WWW '20: The Web Conference 2020, Taipei, Taiwan, April 20-24, 2020, 2020

Do RNN and LSTM have Long Memory?

Jingyu Zhao, Feiqing Huang, Jia Lv, Yanjie Duan, Zhen Qin, Guodong Li, Guangjian Tian

Proceedings of the 37th International Conference on Machine Learning, 2020

Diversify Question Generation with Continuous Content Selectors and Question Type Modeling.

Zhen Wang, Siwei Rao, Jie Zhang, Zhen Qin, Guangjian Tian, Jun Wang

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2020, 2020

Compact Autoregressive Network.

Di Wang, Feiqing Huang, Jingyu Zhao, Guodong Li, Guangjian Tian

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

Ensemble-based Ultrahigh-dimensional Variable Screening.

Wei Tu, Dong Yang, Linglong Kong, Menglu Che, Qian Shi, Guodong Li, Guangjian Tian

Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

M-estimation in Low-Rank Matrix Factorization: A General Framework.

Wei Tu, Peng Liu, Jingyu Zhao, Yi Liu, Linglong Kong, Guodong Li, Bei Jiang, Guangjian Tian, Hengshuai Yao

Proceedings of the 2019 IEEE International Conference on Data Mining, 2019

2018

Long Distance Voice Channel Diagnosis Using Deep Neural Networks.

Zhen Qin, Tom Ko, Guangjian Tian

Proceedings of the 19th Annual Conference of the International Speech Communication Association, 2018

2017

Efficient alarm behavior analytics for telecom networks.

Jiantao Wang, Caifeng He, Yijun Liu, Guangjian Tian, Ivy Peng, Jia Xing, Xiangbing Ruan, Haoran Xie, Fu Lee Wang

Inf. Sci., 2017

2015

StreamDM: Advanced Data Mining in Spark Streaming.

Albert Bifet, Silviu Maniu, Jianfeng Qian, Guangjian Tian, Cheng He, Wei Fan

Proceedings of the IEEE International Conference on Data Mining Workshop, 2015

2014

Supervised deep learning with auxiliary networks.

Junbo Zhang, Guangjian Tian, Yadong Mu, Wei Fan

Proceedings of the 20th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2014

2011

A Hybrid Clustering Method for ROI Delineation in Small-Animal Dynamic PET Images: Application to the Automatic Estimation of FDG Input Functions.

Xiujuan Zheng, Guangjian Tian, Sung-Cheng Huang, Dagan Feng

IEEE Trans. Inf. Technol. Biomed., 2011

Hybrid Genetic and Variational Expectation-Maximization Algorithm for Gaussian-Mixture-Model-Based Brain MR Image Segmentation.

Guangjian Tian, Yong Xia, Yanning Zhang, David Dagan Feng

IEEE Trans. Inf. Technol. Biomed., 2011

2010

Generalized optimal quantitative index of dual-time FDG-pet imaging in lung cancer diagnosis.

Xiujuan Zheng, Guangjian Tian, Lingfeng Wen, David Dagan Feng

Proceedings of the 2010 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2010

2009

SAR Image Segmentation Using GHM-Based Dirichlet Process Mixture Models.

Li Sun, Yanning Zhang, Guangjian Tian, Miao Ma

Proceedings of the Second International Joint Conference on Computational Sciences and Optimization, 2009

2008

SAR Image Segmentation Method Using DP Mixture Models.

Li Sun, Yanning Zhang, Guangjian Tian, Miao Ma

Proceedings of the 2008 International Symposium on Computer Science and Computational Technology, 2008