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2020 – today
- 2024
[j8]Yan Wang
, Ke Deng, Yongli Ren, Jeffrey Chan, Guangjian Tian, Christian S. Jensen:
Reinforcement Learning for Tackling Energy-Saving and Energy-Balance Dilemma of Cluster-Based Routing Protocols in WSNs. IEEE Access 12: 148090-148110 (2024)- [j7]Jiawei Tang, Shuang Wu, Bo Lan, Yahui Dong, Yuqiang Jin, Guangjian Tian, Wen-an Zhang, Ling Shi:
GMPC: Geometric Model Predictive Control for Wheeled Mobile Robot Trajectory Tracking. IEEE Robotics Autom. Lett. 9(5): 4822-4829 (2024) - [c21]Francesco Cursi, Marcus Kalander, Shuang Wu, Xidi Xue, Yu Tian, Guangjian Tian, Xingyue Quan, Jianye Hao:
Safe Table Tennis Swing Stroke with Low-Cost Hardware. ICRA 2024: 18279-18285 - [i8]Jiawei Tang, Shuang Wu, Bo Lan, Yahui Dong, Yuqiang Jin, Guangjian Tian, Wen-An Zhang, Ling Shi:
GMPC: Geometric Model Predictive Control for Wheeled Mobile Robot Trajectory Tracking. CoRR abs/2403.07317 (2024) - [i7]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:
ROS-LLM: A ROS framework for embodied AI with task feedback and structured reasoning. CoRR abs/2406.19741 (2024) - 2023
- [j6]Jia Lv, Kaikai Song, Qiang Ye, Guangjian Tian:
Semi-supervised node classification via fine-grained graph auxiliary augmentation learning. Pattern Recognit. 137: 109301 (2023) - [j5]Yuanming Zhang, Pinghui Wang, Yiyan Qi, Kuankuan Cheng, Junzhou Zhao, Guangjian Tian, Xiaohong Guan:
Fast Gumbel-Max Sketch and its Applications. IEEE Trans. Knowl. Data Eng. 35(9): 9350-9363 (2023) - [c20]Yanwen Fang, Yuxi Cai, Jintai Chen, Jingyu Zhao, Guangjian Tian, Guodong Li:
Cross-Layer Retrospective Retrieving via Layer Attention. ICLR 2023 - [c19]Feiqing Huang, Kexin Lu, Yuxi Cai, Zhen Qin, Yanwen Fang, Guangjian Tian, Guodong Li:
Encoding Recurrence into Transformers. ICLR 2023 - [i6]Yanwen Fang, Yuxi Cai, Jintai Chen, Jingyu Zhao, Guangjian Tian, Guodong Li:
Cross-Layer Retrospective Retrieving via Layer Attention. CoRR abs/2302.03985 (2023) - [i5]Yuanming Zhang, Pinghui Wang, Yiyan Qi, Kuankuan Cheng, Junzhou Zhao, Guangjian Tian, Xiaohong Guan:
Fast Gumbel-Max Sketch and its Applications. CoRR abs/2302.05176 (2023) - 2022
- [c18]Shuang Wu, Ling Shi, Jun Wang, Guangjian Tian:
Understanding Policy Gradient Algorithms: A Sensitivity-Based Approach. ICML 2022: 24131-24149 - [c17]Shuang Wu, Jingyu Zhao, Guangjian Tian:
Understanding and Mitigating Data Contamination in Deep Anomaly Detection: A Kernel-based Approach. IJCAI 2022: 2319-2325 - 2021
- [j4]Yiyan Qi, Pinghui Wang, Yuanming Zhang, Qiaozhu Zhai, Chenxu Wang, Guangjian Tian, John C. S. Lui, Xiaohong Guan:
Streaming Algorithms for Estimating High Set Similarities in LogLog Space. IEEE Trans. Knowl. Data Eng. 33(10): 3438-3452 (2021) - [c16]Longyuan Li, Jihai Zhang, Junchi Yan, Yaohui Jin, Yunhao Zhang, Yanjie Duan, Guangjian Tian:
Synergetic Learning of Heterogeneous Temporal Sequences for Multi-Horizon Probabilistic Forecasting. AAAI 2021: 8420-8428 - [c15]Shuang Wu, Zhen Qin, Zhen Wang, Siwei Rao, Qiang Ye, Xingyue Quan, Guangjian Tian:
Flexible O&M for Telecom Networks at Huawei: A Language Model-based Approach. CIKM 2021: 4224-4233 - [c14]Shuang Wu, Jingyu Zhao, Guangjian Tian, Jun Wang:
State-Aware Value Function Approximation with Attention Mechanism for Restless Multi-armed Bandits. IJCAI 2021: 458-464 - [c13]Shuang Wu, Xi Peng, Guangjian Tian:
Decentralized Max-Min Resource Allocation for Monotonic Utility Functions. INFOCOM Workshops 2021: 1-6 - [i4]Longyuan Li, Jihai Zhang, Junchi Yan, Yaohui Jin, Yunhao Zhang, Yanjie Duan, Guangjian Tian:
Synergetic Learning of Heterogeneous Temporal Sequences for Multi-Horizon Probabilistic Forecasting. CoRR abs/2102.00431 (2021) - 2020
- [c12]Di Wang, Feiqing Huang, Jingyu Zhao, Guodong Li, Guangjian Tian:
Compact Autoregressive Network. AAAI 2020: 6145-6152 - [c11]Zhen Wang, Siwei Rao, Jie Zhang, Zhen Qin, Guangjian Tian, Jun Wang:
Diversify Question Generation with Continuous Content Selectors and Question Type Modeling. EMNLP (Findings) 2020: 2134-2143 - [c10]Jingyu Zhao, Feiqing Huang, Jia Lv, Yanjie Duan, Zhen Qin, Guodong Li, Guangjian Tian:
Do RNN and LSTM have Long Memory? ICML 2020: 11365-11375 - [c9]Yiyan Qi, Pinghui Wang, Yuanming Zhang, Junzhou Zhao, Guangjian Tian, Xiaohong Guan:
Fast Generating A Large Number of Gumbel-Max Variables. WWW 2020: 796-807 - [i3]Yiyan Qi, Pinghui Wang, Yuanming Zhang, Junzhou Zhao, Guangjian Tian, Xiaohong Guan:
Fast Generating A Large Number of Gumbel-Max Variables. CoRR abs/2002.00413 (2020) - [i2]Jingyu Zhao, Feiqing Huang, Jia Lv, Yanjie Duan, Zhen Qin, Guodong Li, Guangjian Tian:
Do RNN and LSTM have Long Memory? CoRR abs/2006.03860 (2020)
2010 – 2019
- 2019
- [c8]Wei Tu, Peng Liu, Jingyu Zhao, Yi Liu, Linglong Kong, Guodong Li, Bei Jiang, Guangjian Tian, Hengshuai Yao:
M-estimation in Low-Rank Matrix Factorization: A General Framework. ICDM 2019: 568-577 - [c7]Wei Tu, Dong Yang, Linglong Kong, Menglu Che, Qian Shi, Guodong Li, Guangjian Tian:
Ensemble-based Ultrahigh-dimensional Variable Screening. IJCAI 2019: 3613-3619 - [i1]Di Wang, Feiqing Huang, Jingyu Zhao, Guodong Li, Guangjian Tian:
Compact Autoregressive Network. CoRR abs/1909.03830 (2019) - 2018
- [c6]Zhen Qin, Tom Ko, Guangjian Tian:
Long Distance Voice Channel Diagnosis Using Deep Neural Networks. INTERSPEECH 2018: 2968-2971 - 2017
- [j3]Jiantao Wang, Caifeng He, Yijun Liu, Guangjian Tian, Ivy Peng, Jia Xing, Xiangbing Ruan, Haoran Xie, Fu Lee Wang:
Efficient alarm behavior analytics for telecom networks. Inf. Sci. 402: 1-14 (2017) - 2015
- [c5]Albert Bifet, Silviu Maniu, Jianfeng Qian, Guangjian Tian, Cheng He, Wei Fan:
StreamDM: Advanced Data Mining in Spark Streaming. ICDM Workshops 2015: 1608-1611 - 2014
- [c4]Junbo Zhang, Guangjian Tian, Yadong Mu, Wei Fan:
Supervised deep learning with auxiliary networks. KDD 2014: 353-361 - 2011
- [j2]Xiujuan Zheng, Guangjian Tian, Sung-Cheng Huang, Dagan Feng:
A Hybrid Clustering Method for ROI Delineation in Small-Animal Dynamic PET Images: Application to the Automatic Estimation of FDG Input Functions. IEEE Trans. Inf. Technol. Biomed. 15(2): 195-205 (2011) - [j1]Guangjian Tian, Yong Xia, Yanning Zhang, David Dagan Feng:
Hybrid Genetic and Variational Expectation-Maximization Algorithm for Gaussian-Mixture-Model-Based Brain MR Image Segmentation. IEEE Trans. Inf. Technol. Biomed. 15(3): 373-380 (2011) - 2010
- [c3]Xiujuan Zheng, Guangjian Tian, Lingfeng Wen, David Dagan Feng:
Generalized optimal quantitative index of dual-time FDG-pet imaging in lung cancer diagnosis. ISBI 2010: 201-204
2000 – 2009
- 2009
- [c2]Li Sun, Yanning Zhang, Guangjian Tian, Miao Ma:
SAR Image Segmentation Using GHM-Based Dirichlet Process Mixture Models. CSO (1) 2009: 886-888 - 2008
- [c1]Li Sun, Yanning Zhang, Guangjian Tian, Miao Ma:
SAR Image Segmentation Method Using DP Mixture Models. ISCSCT (2) 2008: 598-601
Coauthor Index
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