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ORCIDTing Jin
This is just a disambiguation page, and is not intended to be the bibliography of an actual person. Any publication listed on this page has not been assigned to an actual author yet. If you know the true author of one of the publications listed below, you are welcome to contact us.
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2020 – today
- 2024
[j37]Sichen Tao
, Kaiyu Wang, Ting Jin, Zhengwei Wu, Zhenyu Lei, Shangce Gao:
Spherical search algorithm with memory-guided population stage-wise control for bound-constrained global optimization problems. Appl. Soft Comput. 161: 111677 (2024)- [j36]Pengxing Cai, Yu Zhang, Ting Jin, Yuki Todo, Shangce Gao:
Self-Adaptive Forensic-Based Investigation Algorithm with Dynamic Population for Solving Constraint Optimization Problems. Int. J. Comput. Intell. Syst. 17(1): 15 (2024) - [j35]Qingming Sun, Jinping Niu, Xiangwei Zhou, Ting Jin, Yanyan Li:
AoI and Data Rate Optimization in Aerial IRS-Assisted IoT Networks. IEEE Internet Things J. 11(4): 6481-6493 (2024) - [j34]Jinrui Gao, Ziqian Wang, Ting Jin, Jiujun Cheng, Zhenyu Lei, Shangce Gao:
Information gain ratio-based subfeature grouping empowers particle swarm optimization for feature selection. Knowl. Based Syst. 286: 111380 (2024) - [j33]Cheng Luo, Guo-Cheng Wu, Ting Jin:
Parameter estimation of fractional uncertain differential equations. Soft Comput. 28(13-14): 7601-7616 (2024) - [j32]Yangkun Xia, Xinran Luo, Wei Yang, Ting Jin, Jun Li, Lining Xing, Lijun Pan:
Dynamic variable analysis guided adaptive evolutionary multi-objective scheduling for large-scale workflows in cloud computing. Swarm Evol. Comput. 90: 101654 (2024) - [e2]Xiuqin Pan, Ting Jin, Liang-Jie Zhang:
Cognitive Computing - ICCC 2023 - 7th International Conference Held as Part of the Services Conference Federation, SCF 2023 Shenzhen, China, December 17-18, 2023, Proceedings. Lecture Notes in Computer Science 14207, Springer 2024, ISBN 978-3-031-51670-2 [contents] - [i4]Jiayu Lin, Guanrong Chen, Bojun Jin, Chenyang Li, Shutong Jia, Wancong Lin, Yang Sun, Yuhang He, Caihua Yang, Jianzhu Bao, Jipeng Wu, Wen Su, Jinglu Chen, Xinyi Li, Tianyu Chen, Mingjie Han, Shuaiwen Du, Zijian Wang, Jiyin Li, Fuzhong Suo, Hao Wang, Nuanchen Lin, Xuanjing Huang, Changjian Jiang, RuiFeng Xu, Long Zhang, Jiuxin Cao, Ting Jin, Zhongyu Wei:
Overview of AI-Debater 2023: The Challenges of Argument Generation Tasks. CoRR abs/2407.14829 (2024) - [i3]Lu Wang, Tianyuan Zhang, Yikai Han, Muyang Fang, Ting Jin, Jiaqi Kang:
Attack End-to-End Autonomous Driving through Module-Wise Noise. CoRR abs/2409.07706 (2024) - 2023
- [j31]Xin Chen, Ting Jin:
Optimal Control for a Multistage Uncertain Random System. IEEE Access 11: 2105-2117 (2023) - [j30]Xiangfa Li, Bo Li, Ting Jin, Peiyao Zheng:
Uncertain random portfolio optimization with non-dominated sorting genetic algorithm-II and optimal solution criterion. Artif. Intell. Rev. 56(8): 8511-8546 (2023) - [j29]Yadong Shu, Ting Jin:
Stability in measure and asymptotic stability of uncertain nonlinear switched systems with a practical application. Int. J. Control 96(11): 2917-2927 (2023) - [j28]Xiangbing Zhou, Xing Cai, Hua Zhang, Zhiheng Zhang, Ting Jin, Huayue Chen, Wu Deng:
Multi-strategy competitive-cooperative co-evolutionary algorithm and its application. Inf. Sci. 635: 328-344 (2023) - [j27]Ting Jin, Hongxuan Xia:
Lookback option pricing models based on the uncertain fractional-order differential equation with Caputo type. J. Ambient Intell. Humaniz. Comput. 14(6): 6435-6448 (2023) - [j26]Xin Chen, Jing Cao, Ting Jin:
Indefinite linear quadratic optimal control problem for uncertain random discrete-time systems. J. Appl. Math. Comput. 69(4): 3533-3552 (2023) - [j25]Ting Jin, Yuanguo Zhu, Yadong Shu, Jing Cao, Hongyan Yan, Depeng Jiang:
Uncertain optimal control problem with the first hitting time objective and application to a portfolio selection model. J. Intell. Fuzzy Syst. 44(2): 1585-1599 (2023) - [j24]Ting Jin, Fuzhen Li, Hongjun Peng, Bo Li, Depeng Jiang:
Uncertain barrier swaption pricing problem based on the fractional differential equation in Caputo sense. Soft Comput. 27(16): 11587-11602 (2023) - [c25]Xiuhua Long, Ting Jin:
Prompt Tuning Models on Sentiment-Aware for Explainable Recommendation. ICCC 2023: 116-132 - [c24]Baohang Zhang, Ziqian Wang, Zhenyu Lei, Jiatianyi Yu, Ting Jin, Shangce Gao:
A Clustering Strategy-Based Evolutionary Algorithm for Feature Selection in Classification. IEA/AIE (1) 2023: 49-59 - [c23]Mingjie Han, Ting Jin, Wancong Lin, Can Li, Liang Qiao:
Generating Questions via Unexploited OCR Texts: Prompt-Based Data Augmentation for TextVQA. IJCNN 2023: 1-8 - [c22]Liang Qiao, Pengfei Li, Ting Jin, Xi Li:
Finding Cycles in Graph: A Unified Approach for Various NER Tasks. IJCNN 2023: 1-8 - [c21]Ting Jin, Xingran Xie, Renjie Wan, Qingli Li, Yan Wang:
Gene-Induced Multimodal Pre-training for Image-Omic Classification. MICCAI (6) 2023: 508-517 - [c20]Xiuhua Long, Ting Jin:
Interpretable Recommendation Based on Review Aspect-Level Preferences. MLNLP 2023: 101-105 - [c19]Wancong Lin, Mingjie Han, Ting Jin:
Multi-stage Legal Instrument Grammatical Error Correction via Seq2Edit and Data Augmentation. MLNLP 2023: 215-220 - [c18]Xingran Xie, Ting Jin, Boxiang Yun, Qingli Li, Yan Wang:
Exploring Hyperspectral Histopathology Image Segmentation from a Deformable Perspective. ACM Multimedia 2023: 242-251 - [i2]Chenlei Tian, Jing Cao, Yifu Song, Ting Jin:
A novel class of fractional adams method for solving uncertain fractional differential equation. CoRR abs/2302.12567 (2023) - [i1]Ting Jin, Xingran Xie, Renjie Wan, Qingli Li, Yan Wang:
Gene-induced Multimodal Pre-training for Image-omic Classification. CoRR abs/2309.02702 (2023) - 2022
- [j23]Chenlei Tian, Ting Jin, Xiangfeng Yang, Qinyu Liu:
Reliability analysis of the uncertain heat conduction model. Comput. Math. Appl. 119: 131-140 (2022) - [j22]Xiao Yang, Zonghui Cai, Ting Jin, Zheng Tang, Shangce Gao:
A three-phase search approach with dynamic population size for solving the maximally diverse grouping problem. Eur. J. Oper. Res. 302(3): 925-953 (2022) - [j21]Bo Li, Jiajun Xu, Ting Jin, Yadong Shu:
Piecewise parameterization for multifactor uncertain system and uncertain inventory-promotion optimization. Knowl. Based Syst. 255: 109683 (2022) - [j20]Xueni Sun, Yintao Zhang, Ying Zhou, Xichen Lian, Lili Yan, Ting Pan, Ting Jin, Han Xie, Zimao Liang, Wenqi Qiu, Jianxin Wang, Zhaorong Li, Feng Zhu, Xinbing Sui:
NPCDR: natural product-based drug combination and its disease-specific molecular regulation. Nucleic Acids Res. 50(D1): 1324-1333 (2022) - [j19]Chirag Gupta, Jielin Xu, Ting Jin, Saniya Khullar, Xiaoyu Liu, Sayali Alatkar, Feixiong Cheng, Daifeng Wang:
Single-cell network biology characterizes cell type gene regulation for drug repurposing and phenotype prediction in Alzheimer's disease. PLoS Comput. Biol. 18(7) (2022) - [c17]Ting Jin, Zhaogong Zhang, Zhichao Zhang:
A deep learning based scene text detector combining two strategies. ACAI 2022: 21:1-21:5 - [c16]Mingjie Han, Ting Jin, Wancong Lin:
A Scheduled Mask Method for TextVQA. ICCC 2022: 25-35 - [c15]Juan Hu, Xinran Du, Hanyang Wang, Ting Jin, Houqun Yang:
A Study on a Remote Sensing Image Classification Method Incorporating Multi-scale Feature Extraction and Channel Attention Mechanism. ICAIS (1) 2022: 524-536 - [e1]Xiuqin Pan, Ting Jin, Liang-Jie Zhang:
Artificial Intelligence and Mobile Services - AIMS 2022 - 11th International Conference, Held as Part of the Services Conference Federation, SCF 2022, Honolulu, HI, USA, December 10-14, 2022, Proceedings. Lecture Notes in Computer Science 13729, Springer 2022, ISBN 978-3-031-23503-0 [contents] - 2021
- [j18]Houtian He, Shangce Gao, Ting Jin, Syuhei Sato, Xingyi Zhang:
A seasonal-trend decomposition-based dendritic neuron model for financial time series prediction. Appl. Soft Comput. 108: 107488 (2021) - [j17]Ting Jin, Nam D. Nguyen, Flaminia Talos, Daifeng Wang:
ECMarker: interpretable machine learning model identifies gene expression biomarkers predicting clinical outcomes and reveals molecular mechanisms of human disease in early stages. Bioinform. 37(8): 1115-1124 (2021) - [j16]Nam D. Nguyen, Ting Jin, Daifeng Wang:
Varmole: a biologically drop-connect deep neural network model for prioritizing disease risk variants and genes. Bioinform. 37(12): 1772-1775 (2021) - [j15]Ting Jin, Hongxuan Xia, Wu Deng, Yuangang Li, Hao Chen:
Uncertain Fractional-Order Multi-Objective Optimization Based on Reliability Analysis and Application to Fractional-Order Circuit with Caputo Type. Circuits Syst. Signal Process. 40(12): 5955-5982 (2021) - [j14]Ting Jin, Hui Ding, Bo Li, Hongxuan Xia, Chenxi Xue:
Valuation of interest rate ceiling and floor based on the uncertain fractional differential equation in Caputo sense. J. Intell. Fuzzy Syst. 40(3): 5197-5206 (2021) - [j13]Xinyue Zhang, Ting Jin, Wujie Zhou, Jingsheng Lei:
Attention-based contextual interaction asymmetric network for RGB-D saliency prediction. J. Vis. Commun. Image Represent. 74: 102997 (2021) - [j12]Zhe Xu, Ziqian Wang, Jiayi Li, Ting Jin, Xianglian Meng, Shangce Gao:
Dendritic neuron model trained by information feedback-enhanced differential evolution algorithm for classification. Knowl. Based Syst. 233: 107536 (2021) - [j11]Ting Jin, Xiangfeng Yang:
Monotonicity theorem for the uncertain fractional differential equation and application to uncertain financial market. Math. Comput. Simul. 190: 203-221 (2021) - [j10]Ronggang Yue, Humei Wang, Ting Jin, Yuting Gao, Xiaofeng Sun, Tingfei Yan, Jie Zang, Ke Yin, Shitao Wang:
Image Motion Measurement and Image Restoration System Based on an Inertial Reference Laser. Sensors 21(10): 3309 (2021) - [c14]Kezhong Wang, Ting Jin:
Multimodal Social Media Sentiment Analysis Based on Cross-Modal Hierarchical Attention Fusion. AIMS 2021: 29-44 - [c13]Xinyue Zhang, Ting Jin, Mingjie Han, Jingsheng Lei:
Local Interaction and Global Guidance Based Low and High-level Feature Fusion for RGB-D Fixation Prediction. HPCC/DSS/SmartCity/DependSys 2021: 2379-2385 - 2020
- [j9]Ting Jin, Yun Sun, Yuanguo Zhu:
Time integral about solution of an uncertain fractional order differential equation and application to zero-coupon bond model. Appl. Math. Comput. 372 (2020) - [c12]Xinyue Zhang, Ting Jin:
Attention-Based Asymmetric Fusion Network for Saliency Prediction in 3D Images. AIMS 2020: 93-105
2010 – 2019
- 2019
- [j8]Jingsheng Lei, Ting Jin, Jiawei Hao, Fengyong Li:
Short-term load forecasting with clustering-regression model in distributed cluster. Clust. Comput. 22(Supplement): 10163-10173 (2019) - [j7]Ying Li, Shengpeng Liu, Ting Jin, Honghao Gao:
WAAC: An End-to-End Web API Automatic Calls Approach for Goal-Oriented Intelligent Services. Int. J. Softw. Eng. Knowl. Eng. 29(10): 1539-1555 (2019) - [j6]Ting Jin, Wenan Tan, Yong Sun, Yao Zhao:
模糊多目标进化的社会团队形成方法 (Social Team Formation Method Based on Fuzzy Multi-objective Evolution). 计算机科学 46(2): 315-320 (2019) - [c11]Yifei Wang, Xiaofei Wang, Yuekang Guo, Ting Jin:
A Low-Power 10-bit 160-MSample/s DAC in 40-nm CMOS for Baseband Wireless Transmitter. ASICON 2019: 1-4 - [c10]Shusi Yu, Ting Jin, Zhefu Shi, Jing Li, Jin Pan:
A User Effort Measurement for Query Selection. CCIR 2019: 16-25 - 2018
- [c9]Alisha Kamat, Ting Jin, So Yeon Min, Flaminia Talos, Jonas S. Almeida, Daifeng Wang:
Interpretable Machine Learning Approach Reveals Developmental Gene Expression Biomarkers for Cancer Patient Outcomes at Early Stages. BCB 2018: 510 - [c8]Ying Li, Ting Jin, Meng Xi, Shengpeng Liu, Zhiling Luo:
Massive Text Mining for Abnormal Market Trend Detection. IEEE BigData 2018: 4135-4141 - [c7]Wenan Tan, Ting Jin:
Team Formation in Social Networks Using Imperialist Competitive Algorithm. ICCCS (6) 2018: 710-722 - 2017
- [j5]Yanguang Bi, Xiangzhi Bai, Ting Jin, Sheng Guo:
Multiple Feature Analysis for Infrared Small Target Detection. IEEE Geosci. Remote. Sens. Lett. 14(8): 1333-1337 (2017) - [c6]Jie Liu, Ting Jin, Kejia Pan, Yi Yang, Yan Wu, Xin Wang:
An improved KNN text classification algorithm based on Simhash. IEEE ICCI*CC 2017: 92-95 - [c5]Yao Zhao, Wenan Tan, Ting Jin:
QoS-aware Web Service Composition Considering the Constraints between Services. ChineseCSCW 2017: 229-232 - [c4]Ting Jin, Jian Wan, Huayou Si, Yajie Qi, Yongjian Ren:
Empirical research on distribution characteristics of online news comment. ICC 2017: 36:1-36:5 - 2014
- [j4]Weili Wang, Fubao Zhu, Ting Jin, Zhiping Qian, Long Zhang:
Towards effective GML data management: framework and prototype. Int. J. Data Min. Model. Manag. 6(4): 413-432 (2014) - 2013
- [c3]Ting Jin, Tong Xu, Enhong Chen, Qi Liu, Haiping Ma, Jingsong Lv, Guoping Hu:
Random Walk with Pre-filtering for Social Link Prediction. CIS 2013: 139-143 - [c2]Ting Jin, Haoran Xie, Jingsheng Lei, Qing Li, Xiaodong Li, Xudong Mao, Yanghui Rao:
Finding Dominating Set from Verbal Contextual Graph for Personalized Search in Folksonomy. Web Intelligence 2013: 367-372 - 2012
- [c1]Wengen Li, Weili Wang, Ting Jin:
Evaluating Spatial Keyword Queries under the MapReduce Framework. DASFAA Workshops 2012: 251-261 - 2010
- [j3]Xiangzhi Bai, Fugen Zhou, Ting Jin:
Enhancement of dim small target through modified top-hat transformation under the condition of heavy clutter. Signal Process. 90(5): 1643-1654 (2010)
2000 – 2009
- 2009
- [j2]Xiangzhi Bai, Fugen Zhou, Yongchun Xie, Ting Jin:
Scheme of Combined Marker Based Watershed for Infrared Image Segmentation. Int. J. Distributed Sens. Networks 5(1): 74-75 (2009) - [j1]Xiangzhi Bai, Fugen Zhou, Yongchun Xie, Ting Jin:
Enhanced detectability of point target using adaptive morphological clutter elimination by importing the properties of the target region. Signal Process. 89(10): 1973-1989 (2009)
Coauthor Index
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