Batching for Smart Home: Leveraging delay-insensitive workload in cloud storage. - Suiming Guo; Liang Chen 009; Guoqiang Zhang; Dah Ming Chiu (COMSNETS, 2015)

Distributing very-large content from cloud to smart home hubs: Measurement and implications. - Liang Chen 009; Suiming Guo; Guoqiang Zhang (ICC, 2015)

DST: Leveraging Delay-Insensitive Workload in Cloud Storage for Smart Home Network. - Suiming Guo; Liang Chen 009; Dah-Ming Chiu (ICCCN, 2015)

An Incentive-Based Mixed QoE Framework for Content Delivery to Smart Homes. - Suiming Guo; Liang Chen 009; Dah Ming Chiu (ICCCN, 2017)

It Can be Cheaper: Using Price Prediction to Obtain Better Prices from Dynamic Pricing in Ride-on-demand Services. - Suiming Guo; Chao Chen 004; Yaxiao Liu; Ke Xu 002; Dah Ming Chiu (MobiQuitous, 2017)

Understanding passenger reaction to dynamic prices in ride-on-demand service. - Suiming Guo; Yaxiao Liu; Ke Xu 002; Dah Ming Chiu (PerCom Workshops, 2017)

Understanding ride-on-demand service: Demand and dynamic pricing. - Suiming Guo; Yaxiao Liu; Ke Xu 002; Dah Ming Chiu (PerCom Workshops, 2017)

Modelling Passengers' Reaction to Dynamic Prices in Ride-on-demand Services: A Search for the Best Fare. - Suiming Guo; Chao Chen 004; Yaxiao Liu; Ke Xu 002; Dah Ming Chiu (Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2017)

Dynamic Price Prediction in Ride-on-demand Service with Multi-source Urban Data. - Suiming Guo; Chao Chen 004; Jingyuan Wang 001; Yaxiao Liu; Ke Xu 002; Dah Ming Chiu (MobiQuitous, 2018)

A Simple but Quantifiable Approach to Dynamic Price Prediction in Ride-on-demand Services Leveraging Multi-source Urban Data. - Suiming Guo; Chao Chen 004; Jingyuan Wang 001; Yaxiao Liu; Ke Xu 002; Daqing Zhang 001; Dah Ming Chiu (Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2018)

Fine-grained Dynamic Price Prediction in Ride-on-demand Services: Models and Evaluations. - Suiming Guo; Chao Chen 004; Jingyuan Wang 001; Yaxiao Liu; Ke Xu 002; Dah Ming Chiu (Mob. Networks Appl., 2020)

ROD-Revenue: Seeking Strategies Analysis and Revenue Prediction in Ride-on-Demand Service Using Multi-Source Urban Data. - Suiming Guo; Chao Chen 004; Jingyuan Wang 001; Yaxiao Liu; Ke Xu 002; Zhiwen Yu 001; Daqing Zhang 001; Dah Ming Chiu (IEEE Trans. Mob. Comput., 2020)

DAVT: An Error-Bounded Vehicle Trajectory Data Representation and Compression Framework. - Chao Chen 004; Yan Ding 002; Suiming Guo; Yasha Wang (IEEE Trans. Veh. Technol., 2020)

Dynamic Adjustment Policy of Search Driver Matching Distance via Markov Decision Process. - Suiming Guo; Pengcheng Zhang; Qianrong Shen (ICA3PP (1), 2021)

Wheels Know Why You Travel: Predicting Trip Purpose via a Dual-Attention Graph Embedding Network. - Chengwu Liao; Chao Chen 004; Suiming Guo; Zhu Wang 001; Yaxiao Liu; Ke Xu 002; Daqing Zhang 001 (Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2022)

A Force-Directed Approach to Seeking Route Recommendation in Ride-on-Demand Service Using Multi-Source Urban Data. - Suiming Guo; Chao Chen 004; Jingyuan Wang 001; Yan Ding 002; Yaxiao Liu; Ke Xu 002; Zhiwen Yu 001; Daqing Zhang 001 (IEEE Trans. Mob. Comput., 2022)

Seeking Based on Dynamic Prices: Higher Earnings and Better Strategies in Ride-on-Demand Services. - Suiming Guo; Qianrong Shen; Zhiquan Liu; Chao Chen 004; Chaoxiong Chen; Jingyuan Wang 001; Zhetao Li; Ke Xu 002 (IEEE Trans. Intell. Transp. Syst., 2023)

Disguised as Privacy: Data Poisoning Attacks Against Differentially Private Crowdsensing Systems. - Zhetao Li; Zhirun Zheng; Suiming Guo; Bin Guo 001; Fu Xiao 001; Kui Ren 001 (IEEE Trans. Mob. Comput., 2023)

Enriching Large-Scale Trips With Fine-Grained Travel Purposes: A Semi-Supervised Deep Graph Embedding Framework. - Chengwu Liao; Chao Chen 004; Suiming Guo; Leye Wang; Fuqiang Gu; Jing Luo; Ke Xu 002 (IEEE Trans. Intell. Transp. Syst., 2023)

The Impacts of Dynamic Prices on Passenger Destination Prediction in Ride-on-Demand Services: A Conditional BiLSTM-Attention Model. - Weilin Liu; Suiming Guo; Chao Chen 004 (MSN, 2024)

Establishing Trustworthy and Privacy-Preserving SAGIVNs in 6G: Architectures, Requirements, and Solutions. - Zhiquan Liu; Lin Wan; Yong Ma; Jingjing Guo; Suiming Guo; Jing Ma; Jianfeng Ma 001 (IEEE Netw., 2024)

A UAV-Assisted Truth Discovery Approach With Incentive Mechanism Design in Mobile Crowd Sensing. - Ping Wang 045; Zhetao Li; Bin Guo 001; Saiqin Long; Suiming Guo; Jiannong Cao 001 (IEEE/ACM Trans. Netw., 2024)

Seeking in Ride-on-Demand Service: A Reinforcement Learning Model With Dynamic Price Prediction. - Suiming Guo; Baoying Deng; Chao Chen 004; Jintao Ke; Jingyuan Wang 001; Saiqin Long; Ke Xu 002 (IEEE Internet Things J., 2024)

AGENDA: Predicting Trip Purposes with A New Graph Embedding Network and Active Domain Adaptation. - Chengwu Liao; Chao Chen 004; Wanyi Zhang; Suiming Guo; Chao Liu (ACM Trans. Knowl. Discov. Data, 2024)

Privacy Leakage From Dynamic Prices: Trip Purpose Mining as an Example. - Suiming Guo; Chao Chen 004; Zhetao Li; Chengwu Liao; Yaxiao Liu; Ke Xu 002; Daqing Zhang 001 (IEEE Trans. Mob. Comput., 2024)

Pricing Utility vs. Location Privacy: A Differentially Private Data Sharing Framework for Ride-on-Demand Services. - Zhirun Zheng; Zhetao Li; Saiqin Long; Suiming Guo; Chao Chen 004; Ke Xu 002 (IEEE Trans. Dependable Secur. Comput., 2025)

HyperRegion: Integrating Graph and Hypergraph Contrastive Learning for Region Embeddings. - Mingyu Deng; Chao Chen 004; Wanyi Zhang; Jie Zhao 022; Wei Yang; Suiming Guo; Huayan Pu; Jun Luo 006 (IEEE Trans. Mob. Comput., 2025)