SAR Image Segmentation Method Using DP Mixture Models. - Li Sun; Yanning Zhang 001; Guangjian Tian; Miao Ma (ISCSCT (2), 2008)

SAR Image Segmentation Using GHM-Based Dirichlet Process Mixture Models. - Li Sun; Yanning Zhang 001; Guangjian Tian; Miao Ma (CSO (1), 2009)

Generalized optimal quantitative index of dual-time FDG-pet imaging in lung cancer diagnosis. - Xiujuan Zheng; Guangjian Tian; Lingfeng Wen; David Dagan Feng (ISBI, 2010)

Hybrid Genetic and Variational Expectation-Maximization Algorithm for Gaussian-Mixture-Model-Based Brain MR Image Segmentation. - Guangjian Tian; Yong Xia 001; Yanning Zhang 001; David Dagan Feng (IEEE Trans. Inf. Technol. Biomed., 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 001 (IEEE Trans. Inf. Technol. Biomed., 2011)

Supervised deep learning with auxiliary networks. - Junbo Zhang; Guangjian Tian; Yadong Mu; Wei Fan 001 (KDD, 2014)

StreamDM: Advanced Data Mining in Spark Streaming. - Albert Bifet; Silviu Maniu; Jianfeng Qian; Guangjian Tian; Cheng He; Wei Fan 001 (ICDM Workshops, 2015)

Efficient alarm behavior analytics for telecom networks. - Jiantao Wang; Caifeng He; Yijun Liu; Guangjian Tian; Ivy Peng; Jia Xing; Xiangbing Ruan; Haoran Xie 001; Fu Lee Wang (Inf. Sci., 2017)

Long Distance Voice Channel Diagnosis Using Deep Neural Networks. - Zhen Qin; Tom Ko; Guangjian Tian (INTERSPEECH, 2018)

M-estimation in Low-Rank Matrix Factorization: A General Framework. - Wei Tu; Peng Liu 048; Jingyu Zhao 001; Yi Liu 062; Linglong Kong; Guodong Li; Bei Jiang; Guangjian Tian; Hengshuai Yao (ICDM, 2019)

Ensemble-based Ultrahigh-dimensional Variable Screening. - Wei Tu; Dong Yang; Linglong Kong; Menglu Che; Qian Shi; Guodong Li; Guangjian Tian (IJCAI, 2019)

Compact Autoregressive Network. - Di Wang; Feiqing Huang; Jingyu Zhao 001; Guodong Li; Guangjian Tian (AAAI, 2020)

Diversify Question Generation with Continuous Content Selectors and Question Type Modeling. - Zhen Wang; Siwei Rao; Jie Zhang; Zhen Qin; Guangjian Tian; Jun Wang (EMNLP (Findings), 2020)

Do RNN and LSTM have Long Memory? - Jingyu Zhao 001; Feiqing Huang; Jia Lv; Yanjie Duan; Zhen Qin; Guodong Li; Guangjian Tian (ICML, 2020)

Fast Generating A Large Number of Gumbel-Max Variables. - Yiyan Qi; Pinghui Wang; Yuanming Zhang; Junzhou Zhao; Guangjian Tian; Xiaohong Guan (WWW, 2020)

Synergetic Learning of Heterogeneous Temporal Sequences for Multi-Horizon Probabilistic Forecasting. - Longyuan Li; Jihai Zhang 002; Junchi Yan; Yaohui Jin; Yunhao Zhang; Yanjie Duan; Guangjian Tian (AAAI, 2021)

Flexible O&M for Telecom Networks at Huawei: A Language Model-based Approach. - Shuang Wu 005; Zhen Qin; Zhen Wang; Siwei Rao; Qiang Ye; Xingyue Quan; Guangjian Tian (CIKM, 2021)

State-Aware Value Function Approximation with Attention Mechanism for Restless Multi-armed Bandits. - Shuang Wu 005; Jingyu Zhao 001; Guangjian Tian; Jun Wang (IJCAI, 2021)

Decentralized Max-Min Resource Allocation for Monotonic Utility Functions. - Shuang Wu 005; Xi Peng 006; Guangjian Tian (INFOCOM Workshops, 2021)

Streaming Algorithms for Estimating High Set Similarities in LogLog Space. - Yiyan Qi; Pinghui Wang; Yuanming Zhang; Qiaozhu Zhai; Chenxu Wang 001; Guangjian Tian; John C. S. Lui; Xiaohong Guan (IEEE Trans. Knowl. Data Eng., 2021)

Understanding Policy Gradient Algorithms: A Sensitivity-Based Approach. - Shuang Wu 005; Ling Shi 001; Jun Wang; Guangjian Tian (ICML, 2022)

Understanding and Mitigating Data Contamination in Deep Anomaly Detection: A Kernel-based Approach. - Shuang Wu 005; Jingyu Zhao 001; Guangjian Tian (IJCAI, 2022)

Cross-Layer Retrospective Retrieving via Layer Attention. - Yanwen Fang; Yuxi Cai; Jintai Chen; Jingyu Zhao 001; Guangjian Tian; Guodong Li (ICLR, 2023)

Encoding Recurrence into Transformers. - Feiqing Huang; Kexin Lu; Yuxi Cai; Zhen Qin; Yanwen Fang; Guangjian Tian; Guodong Li (ICLR, 2023)

Semi-supervised node classification via fine-grained graph auxiliary augmentation learning. - Jia Lv; Kaikai Song; Qiang Ye; Guangjian Tian (Pattern Recognit., 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., 2023)

Safe Table Tennis Swing Stroke with Low-Cost Hardware. - Francesco Cursi; Marcus Kalander; Shuang Wu 005; Xidi Xue; Yu Tian; Guangjian Tian; Xingyue Quan; Jianye Hao (ICRA, 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)

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; et al. (CoRR, 2024)

GMPC: Geometric Model Predictive Control for Wheeled Mobile Robot Trajectory Tracking. - Jiawei Tang; Shuang Wu 005; Bo Lan; Yahui Dong; Yuqiang Jin; Guangjian Tian; Wen-an Zhang 001; Ling Shi 001 (IEEE Robotics Autom. Lett., 2024)

SpatialCoT: Advancing Spatial Reasoning through Coordinate Alignment and Chain-of-Thought for Embodied Task Planning. - Yuecheng Liu; Dafeng Chi; Shiguang Wu 004; Zhanguang Zhang; Yaochen Hu 001; Lingfeng Zhang; Yingxue Zhang 001; Shuang Wu 005; Tongtong Cao; Guowei Huang; Helong Huang; Guangjian Tian; et al. (CoRR, 2025)