Anthropometric Measurement of the Hands of Chinese Children. - Linghua Ran; Xin Zhang 053; Chuzhi Chao; Taijie Liu; Tingting Dong (HCI (11), 2009)

Inverted Grid-Based kNN Query Processing with MapReduce. - Changqing Ji; Tingting Dong; Yu Li; Yanming Shen; Keqiu Li; Wenming Qiu; Wenyu Qu; Minyi Guo (ChinaGrid, 2012)

A novel interactive image retrieval method based on LSH and SVM. - Tingting Dong; Zhicheng Zhao 001 (IC-NIDC, 2012)

Privacy Preservation for Location-Based Services Based on Attribute Visibility. - Masanori Mano; Xi Guo 001; Tingting Dong; Yoshiharu Ishikawa (IMMoA, 2012)

Processing Probabilistic Range Queries over Gaussian-Based Uncertain Data. - Tingting Dong; Chuan Xiao 001; Xi Guo 001; Yoshiharu Ishikawa (SSTD, 2013)

Monitoring Query Processing in Mobile Robot Databases. - Kento Sugiura; Arata Hayashi; Tingting Dong; Yoshiharu Ishikawa (DASFAA Workshops, 2014)

Probabilistic Range Querying over Gaussian Objects. - Tingting Dong; Chuan Xiao 001; Yoshiharu Ishikawa (IEICE Trans. Inf. Syst., 2014)

A Curvelet-SC Recognition Method for Maize Disease. - Jing Luo 004; Shuze Geng; Chunbo Xiu; Dan Song 004; Tingting Dong (J. Electr. Comput. Eng., 2015)

An Argumentation-Based Negotiation Strategy for Fuzzy Negotiation Preferences. - Tingting Dong (ISCID (2), 2016)

Degrees of Freedom of Two-Cluster MIMO Multiway Relay Interference Channels Using Blind Interference Neutralization. - Bowei Zhang 004; Wenjiang Feng; Tingting Dong; Yi-na Deng (KSII Trans. Internet Inf. Syst., 2016)

Top-k Similarity Search over Gaussian Distributions Based on KL-Divergence. - Tingting Dong; Yoshiharu Ishikawa; Chuan Xiao 001 (J. Inf. Process., 2016)

Diversified and Summarized Video Search System. - Tingting Dong; Shoji Nishimura; Jianquan Liu (ACM Multimedia, 2017)

An Agricultural Monitoring System Based on Wireless Sensor and Depth Learning Algorithm. - Liwei Geng; Tingting Dong (Int. J. Online Eng., 2017)

k-Expected Nearest Neighbor Search over Gaussian Objects. - Tingting Dong; Yoshiharu Ishikawa; Chuan Xiao 001; Jing Zhao 024 (J. Comput., 2017)

Payments Per Claim Method Based on Fuzzy Numbers. - Chun Yan; Qian Liu; Tingting Dong; Wei Liu 051 (ICNC-FSKD, 2018)

Research on the logistics robot task allocation method based on improved ant colony algorithm. - Fei Xue; Tingting Dong (Int. J. Wirel. Mob. Comput., 2018)

An improving clustering algorithm for order batching of e-commerce warehouse system based on logistics robots. - Fei Xue; Tingting Dong; Zixiang Qi (Int. J. Wirel. Mob. Comput., 2018)

Intelligent Monitoring System Based on Internet of Things. - Juan Tang; Tingting Dong; Lihua Li; Limin Shao (Wirel. Pers. Commun., 2018)

Refining Image Search Results using Multiple Attributes. - Tingting Dong; Shoji Nishimura; Jianquan Liu (IEEE BigData, 2019)

Application of Q-learning based on adaptive greedy considering negative rewards in football match system. - Fei Xue; Juntao Li; Ruiping Yuan; Tao Liu; Tingting Dong (Int. J. Wirel. Mob. Comput., 2019)

MCSEC: Secure Coded Matrix Multiplication Scheme for Edge Computing with Minimum Communication Cost. - Tingting Dong; Jin Wang 009; Fei Gu 001; Jingya Zhou; Kejie Lu; Jianping Wang 001 (ISPA/BDCloud/SocialCom/SustainCom, 2020)

Task scheduling based on deep reinforcement learning in a cloud manufacturing environment. - Tingting Dong; Fei Xue; Chuangbai Xiao; Juntao Li (Concurr. Comput. Pract. Exp., 2020)

Deep Reinforcement Learning for Dynamic Workflow Scheduling in Cloud Environment. - Tingting Dong; Fei Xue; Changbai Xiao; Jiangjiang Zhang (SCC, 2021)

Multi-workflow Scheduling Based on Implicit Information Transmission in Cloud Computing Environment. - Liangqian Ji; Tingting Dong; Yang Lan; Xingjuan Cai (BIC-TA (2), 2021)

Edge Computing Energy-Efficient Resource Scheduling Based on Deep Reinforcement Learning and Imitation Learning. - Hengliang Tang; Rongxin Jiao; Tingting Dong; Huilin Qin; Fei Xue (BIC-TA (2), 2021)

Fault-Tolerant Scheme of Cloud Task Allocation Based on Deep Reinforcement Learning. - Hengliang Tang; Zifang Tang; Tingting Dong; Qiuru Hai; Fei Xue (BIC-TA (2), 2021)

Implementation and Application of NSGA-III Improved Algorithm in Multi-objective Environment. - Fei Xue; Yuelu Gong; Qiuru Hai; Huilin Qin; Tingting Dong (BIC-TA (1), 2021)

Workflow scheduling based on deep reinforcement learning in the cloud environment. - Tingting Dong; Fei Xue; Chuangbai Xiao; Jiangjiang Zhang (J. Ambient Intell. Humaniz. Comput., 2021)

A hybrid many-objective competitive swarm optimization algorithm for large-scale multirobot task allocation problem. - Fei Xue; Tingting Dong; Siqing You; Yan Liu; Hengliang Tang; Lei Chen; Xi Yang; Juntao Li (Int. J. Mach. Learn. Cybern., 2021)

Design and Modification of a High-Resolution Optical Interferometer Accelerometer. - Yuan Yao; Debin Pan; Jianbo Wang; Tingting Dong; Jie Guo; Chensheng Wang; Anbing Geng; Weidong Fang; Qianbo Lu (Sensors, 2021)

Person Search by Uncertain Attributes. - Tingting Dong; Jianquan Liu (ICMR, 2022)

A multi-agent based mechanism for collaboratively detecting distributed denial of service attacks in internet of vehicles. - Tingting Dong; Lei Chen; Li Zhou 011; Fei Xue; Huilin Qin (Concurr. Comput. Pract. Exp., 2022)

A deep reinforcement learning based hybrid algorithm for efficient resource scheduling in edge computing environment. - Fei Xue; Qiuru Hai; Tingting Dong; Zhihua Cui; Yuelu Gong (Inf. Sci., 2022)

A Low-Loss Fused Biconical Taper Type Few-Mode Multiplexer/Demultiplexer. - Tingting Dong; Ying Li; Ruichun Wang; Jingjing Jia; Lei Shen; Ying Han (ICAIT, 2023)

Unsupervised Vehicle Re-Identification via Raw UAV Videos. - Shangzhi Teng; Tingting Dong (ICIG (2), 2023)

A hybrid algorithm for workflow scheduling in cloud environment. - Tingting Dong; Li Zhou 011; Lei Chen; Yanxing Song; Hengliang Tang; Huilin Qin (Int. J. Bio Inspired Comput., 2023)

Deep reinforcement learning for fault-tolerant workflow scheduling in cloud environment. - Tingting Dong; Fei Xue; Hengliang Tang; Chuangbai Xiao (Appl. Intell., 2023)

Research on Apple Recognition and Counting Model Based on Image Processing. - Jinda Dong; Fei Xue; Tingting Dong; Hengliang Tang (ICBASE, 2024)

Using Graph Neural Network to Analyse and Detect Annotation Misuse in Java Code. - Jingbo Yang; Xin Ji; Wenjun Wu 001; Jian Ren 004; Kui Zhang; Wenya Zhang; Qingliang Wang; Tingting Dong (ICIC (LNAI 1), 2024)

A decomposition-based multi-objective evolutionary algorithm with Q-learning for adaptive operator selection. - Fei Xue; Yuezheng Chen; Peiwen Wang; Yunsen Ye; Jinda Dong; Tingting Dong (J. Supercomput., 2024)

Adaptive hybrid response mechanism for dynamic multi-objective optimization and its application in multi-robot task allocation. - Tingting Dong; Peiwen Wang; Fei Xue; Yuge Geng; Zhihua Cui (Swarm Evol. Comput., 2025)

Coordinating Ride-Pooling with Public Transit using Reward-Guided Conservative Q-Learning: An Offline Training and Online Fine-Tuning Reinforcement Learning Framework. - Yulong Hu; Tingting Dong; Sen Li (CoRR, 2025)

MOEA/D with adaptive weight vector adjustment and parameter selection based on Q-learning. - Fei Xue; Yuezheng Chen; Tingting Dong; Peiwen Wang; Wenyu Fan (Appl. Intell., 2025)