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ORCIDXiaoming Shi
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2020 – today
- 2024
[j12]Qiuying Zhi, Xiaosheng Hu, Ping Wang, Ming Li, Yi Ding, Yuxuan Wu, Tiantian Peng, Wenjie Li, Xiao Guan, Xiaoming Shi
, Junsheng Li:
Estimation, Spatiotemporal Dynamics, and Driving Factors of Grassland Biomass Carbon Storage Based on Machine Learning Methods: A Case Study of the Hulunbuir Grassland. Remote. Sens. 16(19): 3709 (2024)- [j11]Na Deng, Xiaoming Shi, Min Sheng, Junyu Liu, Haichao Wei, Nan Zhao, Dusit Niyato:
Enhancing Millimeter Wave Cellular Networks via UAV-Borne Aerial IRS Swarms. IEEE Trans. Commun. 72(1): 524-538 (2024) - [j10]Xiaoming Shi, Xiaodan Shao, Rui Zhang:
Capacity Maximization for Base Station With Hybrid Fixed and Movable Antennas. IEEE Wirel. Commun. Lett. 13(10): 2877-2881 (2024) - [c21]Xiaoming Shi, Zeming Liu, Li Du, Yuxuan Wang, Hongru Wang, Yuhang Guo, Tong Ruan, Jie Xu, Xiaofan Zhang, Shaoting Zhang:
Medical Dialogue System: A Survey of Categories, Methods, Evaluation and Challenges. ACL (Findings) 2024: 2840-2861 - [c20]Ming Jin, Shiyu Wang, Lintao Ma, Zhixuan Chu, James Y. Zhang, Xiaoming Shi, Pin-Yu Chen, Yuxuan Liang, Yuan-Fang Li, Shirui Pan, Qingsong Wen:
Time-LLM: Time Series Forecasting by Reprogramming Large Language Models. ICLR 2024 - [c19]Shiyu Wang, Haixu Wu, Xiaoming Shi, Tengge Hu, Huakun Luo, Lintao Ma, James Y. Zhang, Jun Zhou:
TimeMixer: Decomposable Multiscale Mixing for Time Series Forecasting. ICLR 2024 - [c18]Siqiao Xue, Xiaoming Shi, Zhixuan Chu, Yan Wang, Hongyan Hao, Fan Zhou, Caigao Jiang, Chen Pan, James Y. Zhang, Qingsong Wen, Jun Zhou, Hongyuan Mei:
EasyTPP: Towards Open Benchmarking Temporal Point Processes. ICLR 2024 - [i22]Xiaoming Shi, Xiaodan Shao, Rui Zhang:
Capacity Maximization for Base Station with Hybrid Fixed and Movable Antennas. CoRR abs/2405.07176 (2024) - [i21]Xiaoming Shi, Zeming Liu, Li Du, Yuxuan Wang, Hongru Wang, Yuhang Guo, Tong Ruan, Jie Xu, Shaoting Zhang:
Medical Dialogue: A Survey of Categories, Methods, Evaluation and Challenges. CoRR abs/2405.10630 (2024) - [i20]Shiyu Wang, Haixu Wu, Xiaoming Shi, Tengge Hu, Huakun Luo, Lintao Ma, James Y. Zhang, Jun Zhou:
TimeMixer: Decomposable Multiscale Mixing for Time Series Forecasting. CoRR abs/2405.14616 (2024) - [i19]Mianxin Liu, Jinru Ding, Jie Xu, Weiguo Hu, Xiaoyang Li, Lifeng Zhu, Zhian Bai, Xiaoming Shi, Benyou Wang, Haitao Song, Pengfei Liu, Xiaofan Zhang, Shanshan Wang, Kang Li, Haofen Wang, Tong Ruan, Xuanjing Huang, Xin Sun, Shaoting Zhang:
MedBench: A Comprehensive, Standardized, and Reliable Benchmarking System for Evaluating Chinese Medical Large Language Models. CoRR abs/2407.10990 (2024) - [i18]Kaitao Chen, Mianxin Liu, Fang Yan, Lei Ma, Xiaoming Shi, Lilong Wang, Xiaosong Wang, Lifeng Zhu, Zhe Wang, Mu Zhou, Shaoting Zhang:
Cost-effective Instruction Learning for Pathology Vision and Language Analysis. CoRR abs/2407.17734 (2024) - [i17]Xiaoyu Tan, Yongxin Deng, Chao Qu, Siqiao Xue, Xiaoming Shi, James Y. Zhang, Xihe Qiu:
Adaptive Learning on User Segmentation: Universal to Specific Representation via Bipartite Neural Interaction. CoRR abs/2409.14945 (2024) - [i16]Xiaoming Shi, Shiyu Wang, Yuqi Nie, Dianqi Li, Zhou Ye, Qingsong Wen, Ming Jin:
Time-MoE: Billion-Scale Time Series Foundation Models with Mixture of Experts. CoRR abs/2409.16040 (2024) - [i15]Shiyu Wang, Jiawei Li, Xiaoming Shi, Zhou Ye, Baichuan Mo, Wenze Lin, Shengtong Ju, Zhixuan Chu, Ming Jin:
TimeMixer++: A General Time Series Pattern Machine for Universal Predictive Analysis. CoRR abs/2410.16032 (2024) - [i14]Honglin Mu, Han He, Yuxin Zhou, Yunlong Feng, Yang Xu, Libo Qin, Xiaoming Shi, Zeming Liu, Xudong Han, Qi Shi, Qingfu Zhu, Wanxiang Che:
Stealthy Jailbreak Attacks on Large Language Models via Benign Data Mirroring. CoRR abs/2410.21083 (2024) - 2023
- [j9]Xiaoming Shi, Wanxiang Che:
Combating with extremely noisy samples in weakly supervised slot filling for automatic diagnosis. Frontiers Comput. Sci. 17(5): 175333 (2023) - [j8]Xiaoming Shi, Na Deng, Nan Zhao, Dusit Niyato:
Coverage Enhancement in Millimeter-Wave Cellular Networks via Distributed IRSs. IEEE Trans. Commun. 71(2): 1153-1167 (2023) - [j7]Dajian Huang, Wen-an Zhang, Fanghong Guo, Weijiang Liu, Xiaoming Shi:
Wavelet Packet Decomposition-Based Multiscale CNN for Fault Diagnosis of Wind Turbine Gearbox. IEEE Trans. Cybern. 53(1): 443-453 (2023) - [c17]Mingchao Li, Xiaoming Shi, Haitao Leng, Wei Zhou, Hai-Tao Zheng, Kuncai Zhang:
Learning Semantic Alignment with Global Modality Reconstruction for Video-Language Pre-training towards Retrieval. AAAI 2023: 1377-1385 - [c16]Chao Qu, Xiaoyu Tan, Siqiao Xue, Xiaoming Shi, James Zhang, Hongyuan Mei:
Bellman Meets Hawkes: Model-Based Reinforcement Learning via Temporal Point Processes. AAAI 2023: 9543-9551 - [c15]Xiaoming Shi, Zeming Liu, Chuan Wang, Haitao Leng, Kui Xue, Xiaofan Zhang, Shaoting Zhang:
MidMed: Towards Mixed-Type Dialogues for Medical Consultation. ACL (1) 2023: 8145-8157 - [c14]Yongyu Yan, Kui Xue, Xiaoming Shi, Qi Ye, Jingping Liu, Tong Ruan:
AF Adapter: Continual Pretraining for Building Chinese Biomedical Language Model. BIBM 2023: 953-957 - [c13]Haitao Leng, Xiaoming Shi, Wei Zhou, Kuncai Zhang, Qiankun Shi, Pengcheng Zhu:
Online Action Detection with Learning Future Representations by Contrastive Learning. ICME 2023: 2213-2218 - [c12]Shiyu Wang, Yinbo Sun, Xiaoming Shi, Shiyi Zhu, Lintao Ma, James Zhang, Yangfei Zheng, Liu Jian:
Full Scaling Automation for Sustainable Development of Green Data Centers. IJCAI 2023: 6264-6271 - [c11]Xiaoming Shi, Siqiao Xue, Kangrui Wang, Fan Zhou, James Y. Zhang, Jun Zhou, Chenhao Tan, Hongyuan Mei:
Language Models Can Improve Event Prediction by Few-Shot Abductive Reasoning. NeurIPS 2023 - [c10]Siqiao Xue, Yan Wang, Zhixuan Chu, Xiaoming Shi, Caigao Jiang, Hongyan Hao, Gangwei Jiang, Xiaoyun Feng, James Zhang, Jun Zhou:
Prompt-augmented Temporal Point Process for Streaming Event Sequence. NeurIPS 2023 - [c9]Xiaoyu Tan, Yongxin Deng, Chao Qu, Siqiao Xue, Xiaoming Shi, James Y. Zhang, Xihe Qiu:
Adaptive Learning on User Segmentation: Universal to Specific Representation via Bipartite Neural Interaction. SIGIR-AP 2023: 205-211 - [i13]Shiyu Wang, Yinbo Sun, Xiaoming Shi, Shiyi Zhu, Linfao Ma, James Zhang, Yifei Zheng, Jian Liu:
Full Scaling Automation for Sustainable Development of Green Data Centers. CoRR abs/2305.00706 (2023) - [i12]Jie Xu, Lu Lu, Sen Yang, Bilin Liang, Xinwei Peng, Jiali Pang, Jinru Ding, Xiaoming Shi, Lingrui Yang, Huan Song, Kang Li, Xin Sun, Shaoting Zhang:
MedGPTEval: A Dataset and Benchmark to Evaluate Responses of Large Language Models in Medicine. CoRR abs/2305.07340 (2023) - [i11]Xiaoming Shi, Siqiao Xue, Kangrui Wang, Fan Zhou, James Y. Zhang, Jun Zhou, Chenhao Tan, Hongyuan Mei:
Language Models Can Improve Event Prediction by Few-Shot Abductive Reasoning. CoRR abs/2305.16646 (2023) - [i10]Xiaoming Shi, Zeming Liu, Chuan Wang, Haitao Leng, Kui Xue, Xiaofan Zhang, Shaoting Zhang:
MidMed: Towards Mixed-Type Dialogues for Medical Consultation. CoRR abs/2306.02923 (2023) - [i9]Siqiao Xue, Xiaoming Shi, Zhixuan Chu, Yan Wang, Fan Zhou, Hongyan Hao, Caigao Jiang, Chen Pan, Yi Xu, James Y. Zhang, Qingsong Wen, Jun Zhou, Hongyuan Mei:
EasyTPP: Towards Open Benchmarking the Temporal Point Processes. CoRR abs/2307.08097 (2023) - [i8]Xiaoming Shi, Jie Xu, Jinru Ding, Jiali Pang, Sichen Liu, Shuqing Luo, Xingwei Peng, Lu Lu, Haihong Yang, Mingtao Hu, Tong Ruan, Shaoting Zhang:
LLM-Mini-CEX: Automatic Evaluation of Large Language Model for Diagnostic Conversation. CoRR abs/2308.07635 (2023) - [i7]Ming Jin, Shiyu Wang, Lintao Ma, Zhixuan Chu, James Y. Zhang, Xiaoming Shi, Pin-Yu Chen, Yuxuan Liang, Yuan-Fang Li, Shirui Pan, Qingsong Wen:
Time-LLM: Time Series Forecasting by Reprogramming Large Language Models. CoRR abs/2310.01728 (2023) - [i6]Siqiao Xue, Yan Wang, Zhixuan Chu, Xiaoming Shi, Caigao Jiang, Hongyan Hao, Gangwei Jiang, Xiaoyun Feng, James Y. Zhang, Jun Zhou:
Prompt-augmented Temporal Point Process for Streaming Event Sequence. CoRR abs/2310.04993 (2023) - [i5]Binbin Li, Tianxin Meng, Xiaoming Shi, Jie Zhai, Tong Ruan:
MedDM: LLM-executable clinical guidance tree for clinical decision-making. CoRR abs/2312.02441 (2023) - 2022
- [j6]Kun Li, Liwei Jia, Xiaoming Shi:
Research on Cloud Computing Task Scheduling Based on PSOMC. J. Web Eng. 21(6): 1749-1766 (2022) - [j5]Xiaoming Shi, Sendong Zhao, Yuxuan Wang, Xi Chen, Ziheng Zhang, Yefeng Zheng, Wanxiang Che:
Understanding Patient Query With Weak Supervision From Doctor Response. IEEE J. Biomed. Health Informatics 26(6): 2770-2777 (2022) - [j4]Xiaoming Shi, Na Deng:
Modeling and Analysis of mmWave UAV Swarm Networks: A Stochastic Geometry Approach. IEEE Trans. Wirel. Commun. 21(11): 9447-9459 (2022) - [c8]Siqiao Xue, Chao Qu, Xiaoming Shi, Cong Liao, Shiyi Zhu, Xiaoyu Tan, Lintao Ma, Shiyu Wang, Shijun Wang, Yun Hu, Lei Lei, Yangfei Zheng, Jianguo Li, James Zhang:
A Meta Reinforcement Learning Approach for Predictive Autoscaling in the Cloud. KDD 2022: 4290-4299 - [c7]Siqiao Xue, Xiaoming Shi, James Y. Zhang, Hongyuan Mei:
HYPRO: A Hybridly Normalized Probabilistic Model for Long-Horizon Prediction of Event Sequences. NeurIPS 2022 - [i4]Chao Qu, Xiaoyu Tan, Siqiao Xue, Xiaoming Shi, James Zhang, Hongyuan Mei:
Bellman Meets Hawkes: Model-Based Reinforcement Learning via Temporal Point Processes. CoRR abs/2201.12569 (2022) - [i3]Siqiao Xue, Chao Qu, Xiaoming Shi, Cong Liao, Shiyi Zhu, Xiaoyu Tan, Lintao Ma, Shiyu Wang, Shijun Wang, Yun Hu, Lei Lei, Yangfei Zheng, Jianguo Li, James Zhang:
A Meta Reinforcement Learning Approach for Predictive Autoscaling in the Cloud. CoRR abs/2205.15795 (2022) - [i2]Siqiao Xue, Xiaoming Shi, James Y. Zhang, Hongyuan Mei:
HYPRO: A Hybridly Normalized Probabilistic Model for Long-Horizon Prediction of Event Sequences. CoRR abs/2210.01753 (2022) - [i1]Siqiao Xue, Xiaoming Shi, Hongyan Hao, Lintao Ma, Shiyu Wang, Shijun Wang, James Zhang:
A Graph Regularized Point Process Model For Event Propagation Sequence. CoRR abs/2211.11758 (2022) - 2021
- [j3]Kun Li, Liwei Jia, Xiaoming Shi:
IPSOMC: An Improved Particle Swarm Optimization and Membrane Computing based Algorithm for Cloud Computing. Int. J. Perform. Eng. 17(1): 135-142 (2021) - [j2]Xiaoming Shi, Heng Qi, Yanming Shen, Genze Wu, Baocai Yin:
A Spatial-Temporal Attention Approach for Traffic Prediction. IEEE Trans. Intell. Transp. Syst. 22(8): 4909-4918 (2021) - [c6]Siqiao Xue, Xiaoming Shi, Hongyan Hao, Lintao Ma, James Zhang, Shiyu Wang, Shijun Wang:
A Graph Regularized Point Process Model For Event Propagation Sequence. IJCNN 2021: 1-7 - [c5]Xiaoming Shi, Na Deng:
Coverage Probability of UAV-Enabled Millimeter Wave Communications in Finite Areas. WCNC 2021: 1-6 - 2020
- [c4]Xiaoming Shi, Haifeng Hu, Wanxiang Che, Zhongqian Sun, Ting Liu, Junzhou Huang:
Understanding Medical Conversations with Scattered Keyword Attention and Weak Supervision from Responses. AAAI 2020: 8838-8845 - [c3]Kun Li, Liwei Jia, Xiaoming Shi:
Research on Scene Semantic Segmentation Based on Deep Learning. CIPAE 2020: 1-5
2010 – 2019
- 2012
- [c2]Guoliang Jin, Linhai Song, Xiaoming Shi, Joel Scherpelz, Shan Lu:
Understanding and detecting real-world performance bugs. PLDI 2012: 77-88 - 2011
- [c1]Qingjie Zhao, Xiaoming Shi, Yuxia Wang:
Head-Pose Recognition for a Game System Based on Nose's Relative Position. HCI (4) 2011: 694-701 - 2010
- [j1]Xiaoqin Wang, Xiaoming Shi, Feilong Ling:
Images difference of ASAR data for rice crop mapping in Fuzhou, China. Geo spatial Inf. Sci. 13(2): 123-129 (2010)
Coauthor Index
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