CCL-SVC: Optimizing user experience of broadcasting video on computation capability limited handheld devices. - Jingyuan Wang 001; Lifeng Sun; Bin Li 088; Meng Zhang 001; Shiqiang Yang (MMSP, 2008)

TCP-FIT: An improved TCP congestion control algorithm and its performance. - Jingyuan Wang 001; Jiangtao Wen; Jun Zhang 006; Yuxing Han 001 (INFOCOM, 2011)

An Improved TCP Friendly Rate Control Algorithm for Wireless Networks. - Jingyuan Wang 001; Hongbo Li; Zhongwu Zhai; Xiang Chen; Shiqiang Yang (IEICE Trans. Fundam. Electron. Commun. Comput. Sci., 2011)

Bandwidth estimation and rate adaptation in HTTP streaming. - Bing Zhou; Jingyuan Wang 001; Zixuan Zou; Jiangtao Wen (ICNC, 2012)

Product Feature Grouping for Opinion Mining. - Zhongwu Zhai; Bing Liu 001; Jingyuan Wang 001; Hua Xu; Peifa Jia (IEEE Intell. Syst., 2012)

TCP-FITDC: An adaptive approach to TCP incast avoidance for data center applications. - Jun Zhang 006; Jiangtao Wen; Jingyuan Wang 001; Wenlai Zhao (ICNC, 2013)

CUBIC-FIT: A High Performance and TCP CUBIC Friendly Congestion Control Algorithm. - Jingyuan Wang 001; Jiangtao Wen; Yuxing Han 001; Jun Zhang 006; Chao Li 001; Zhang Xiong 001 (IEEE Commun. Lett., 2013)

TCP congestion control for wireless datacenters. - Jingyuan Wang 001; Yunjing Jiang; Yuanxin Ouyang; Chao Li 001; Zhang Xiong 001; Junxia Cai (IEICE Electron. Express, 2013)

Discovering Urban Spatio-temporal Structure from Time-Evolving Traffic Networks. - Jingyuan Wang 001; Fei Gao; Peng Cui 001; Chao Li 001; Zhang Xiong 001 (APWeb, 2014)

Coordination mechanisms for planning of hydro-thermal subsystem. - Jingyuan Wang 001; Xi Chen (CASE, 2014)

Achieving TCP Reno friendliness in FAST TCP over wide area networks. - Jingyuan Wang 001; Fei Gao; Jiangtao Wen; Chao Li 001; Zhang Xiong 001; Yuxing Han 001 (ICNC, 2014)

Achieving high throughput and TCP Reno fairness in delay-based TCP over large networks. - Jingyuan Wang 001; Jiangtao Wen; Yuxing Han 001; Jun Zhang 006; Chao Li 001; Zhang Xiong 001 (Frontiers Comput. Sci., 2014)

Improving the Incast Performance of Datacenter TCP by Using Rate-Based Congestion Control. - Jingyuan Wang 001; Yunjing Jiang; Chao Li 001; Yuanxin Ouyang; Zhang Xiong 001 (IEICE Trans. Fundam. Electron. Commun. Comput. Sci., 2014)

A literature survey on smart cities. - Chuantao Yin; Zhang Xiong 001; Hui Chen 002; Jingyuan Wang 001; Daven Cooper; Bertrand David 001 (Sci. China Inf. Sci., 2015)

DC-Vegas: A delay-based TCP congestion control algorithm for datacenter applications. - Jingyuan Wang 001; Jiangtao Wen; Chao Li 001; Zhang Xiong 001; Yuxing Han 001 (J. Netw. Comput. Appl., 2015)

Traffic Speed Prediction and Congestion Source Exploration: A Deep Learning Method. - Jingyuan Wang 001; Qian Gu; Junjie Wu 002; Guannan Liu; Zhang Xiong 001 (ICDM, 2016)

Wavelet-Based Stacked Denoising Autoencoders for Cell Phone Base Station User Number Prediction. - Jing Li; Jingyuan Wang 001; Zhang Xiong 001 (iThings/GreenCom/CPSCom/SmartData, 2016)

TCP-FIT: An improved TCP algorithm for heterogeneous networks. - Jingyuan Wang 001; Jiangtao Wen; Jun Zhang 006; Zhang Xiong 001; Yuxing Han 001 (J. Netw. Comput. Appl., 2016)

Coupling Implicit and Explicit Knowledge for Customer Volume Prediction. - Jingyuan Wang 001; Yating Lin; Junjie Wu 002; Zhong Wang; Zhang Xiong 001 (AAAI, 2017)

No Longer Sleeping with a Bomb: A Duet System for Protecting Urban Safety from Dangerous Goods. - Jingyuan Wang 001; Chao Chen 025; Junjie Wu 002; Zhang Xiong 001 (KDD, 2017)

City-Eyes: A multi-source data integration basec smart city analysis system. - Zijian Ma; Dan Lu; Qian Liu; Jingyuan Wang 001; Zhang Xiong 001 (WoWMoM, 2017)

MaMR: High-performance MapReduce programming model for material cloud applications. - Weipeng Jing 001; Danyu Tong; Yangang Wang; Jingyuan Wang 001; Yaqiu Liu; Peng Zhao (Comput. Phys. Commun., 2017)

ARW: Efficient Replacement Policies for Phase Change Memory and NAND Flash. - Xi Zhang; Xinning Duan; Jincui Yang; Jingyuan Wang 001 (IEICE Trans. Inf. Syst., 2017)

Recovering Individual's Commute Routes Based on Mobile Phone Data. - Xin Song; Yuanxin Ouyang; Bowen Du 001; Jingyuan Wang 001; Zhang Xiong 001 (Mob. Inf. Syst., 2017)

CD-CNN: A Partially Supervised Cross-Domain Deep Learning Model for Urban Resident Recognition. - Jingyuan Wang 001; Xu He; Ze Wang 009; Junjie Wu 002; Nicholas Jing Yuan; Xing Xie 001; Zhang Xiong 001 (AAAI, 2018)

Multilevel Wavelet Decomposition Network for Interpretable Time Series Analysis. - Jingyuan Wang 001; Ze Wang 009; Jianfeng Li; Junjie Wu 001 (KDD, 2018)

Inferring Metapopulation Propagation Network for Intra-city Epidemic Control and Prevention. - Jingyuan Wang 001; Xiaojian Wang; Junjie Wu 001 (KDD, 2018)

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)

CD-CNN: A Partially Supervised Cross-Domain Deep Learning Model or Urban Resident Recognition. - Jingyuan Wang 001; Xu He; Ze Wang 009; Junjie Wu 002; Nicholas Jing Yuan; Xing Xie 001; Zhang Xiong 001 (CoRR, 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)

SVM-Based Deep Stacking Networks. - Jingyuan Wang 001; Kai Feng; Junjie Wu 001 (AAAI, 2019)

Learning to Effectively Estimate the Travel Time for Fastest Route Recommendation. - Ning Wu; Jingyuan Wang 001; Wayne Xin Zhao; Yang Jin (CIKM, 2019)

Empowering A* Search Algorithms with Neural Networks for Personalized Route Recommendation. - Jingyuan Wang 001; Ning Wu; Wayne Xin Zhao; Fanzhang Peng; Xin Lin (KDD, 2019)

AlphaStock: A Buying-Winners-and-Selling-Losers Investment Strategy using Interpretable Deep Reinforcement Attention Networks. - Jingyuan Wang 001; Yang Zhang 032; Ke Tang; Junjie Wu 002; Zhang Xiong 001 (KDD, 2019)

Understanding Urban Dynamics via Context-aware Tensor Factorization with Neighboring Regularization. - Jingyuan Wang 001; Junjie Wu 002; Ze Wang 009; Fei Gao 011; Zhang Xiong 001 (CoRR, 2019)

Interpretable Spatiotemporal Deep Learning Model for Traffic Flow Prediction based on Potential Energy Fields. - Jiahao Ji; Jingyuan Wang 001; Zhe Jiang 001; Jingtian Ma; Hu Zhang (ICDM, 2020)

Interpretability is a Kind of Safety: An Interpreter-based Ensemble for Adversary Defense. - Jingyuan Wang 001; Yufan Wu; Mingxuan Li 001; Xin Lin; Junjie Wu 001; Chao Li 001 (KDD, 2020)

Learning Effective Road Network Representation with Hierarchical Graph Neural Networks. - Ning Wu; Wayne Xin Zhao; Jingyuan Wang 001; Dayan Pan (KDD, 2020)

Detecting and Recovering Adversarial Examples: An Input Sensitivity Guided Method. - Mingxuan Li 001; Jingyuan Wang 001; Yufan Wu (CoRR, 2020)

Prototyping federated learning on edge computing systems. - Jianlei Yang 001; Yixiao Duan; Tong Qiao; Huanyu Zhou; Jingyuan Wang 001; Weisheng Zhao (Frontiers Comput. Sci., 2020)

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)

Understanding Urban Dynamics via Context-Aware Tensor Factorization with Neighboring Regularization. - Jingyuan Wang 001; Junjie Wu 002; Ze Wang 009; Fei Gao 018; Zhang Xiong 001 (IEEE Trans. Knowl. Data Eng., 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)

LibCity: An Open Library for Traffic Prediction. - Jingyuan Wang 001; Jiawei Jiang 003; Wenjun Jiang; Chao Li 001; Wayne Xin Zhao (SIGSPATIAL/GIS, 2021)

RAPT: Pre-training of Time-Aware Transformer for Learning Robust Healthcare Representation. - Houxing Ren; Jingyuan Wang 001; Wayne Xin Zhao; Ning Wu (KDD, 2021)

Curriculum Pre-Training Heterogeneous Subgraph Transformer for Top-N Recommendation. - Hui Wang 072; Kun Zhou 002; Wayne Xin Zhao; Jingyuan Wang 001; Ji-Rong Wen (CoRR, 2021)

Deep Sequence Modeling: Development and Applications in Asset Pricing. - Lin William Cong; Ke Tang; Jingyuan Wang 001; Yang Zhang 032 (CoRR, 2021)

Designing for the future in the age of pandemics: a future-ready design research (FRDR) process. - L. G. Pee 001; Shan L. Pan; Jingyuan Wang 001; Junjie Wu 002 (Eur. J. Inf. Syst., 2021)

Deep Fuzzy Cognitive Maps for Interpretable Multivariate Time Series Prediction. - Jingyuan Wang 001; Zhen Peng; Xiaoda Wang; Chao Li 001; Junjie Wu 002 (IEEE Trans. Fuzzy Syst., 2021)

Deep Trajectory Recovery with Fine-Grained Calibration using Kalman Filter. - Jingyuan Wang 001; Ning Wu; Xinxi Lu; Wayne Xin Zhao; Kai Feng (IEEE Trans. Knowl. Data Eng., 2021)

DGeye: Probabilistic Risk Perception and Prediction for Urban Dangerous Goods Management. - Jingyuan Wang 001; Xin Lin; Yuan Zuo; Junjie Wu 002 (ACM Trans. Inf. Syst., 2021)

STDEN: Towards Physics-Guided Neural Networks for Traffic Flow Prediction. - Jiahao Ji; Jingyuan Wang 001; Zhe Jiang 001; Jiawei Jiang 003; Hu Zhang (AAAI, 2022)

RSD: A Reinforced Siamese Network with Domain Knowledge for Early Diagnosis. - Houxing Ren; Jingyuan Wang 001; Wayne Xin Zhao (CIKM, 2022)

LibEpidemic: An Open-source Framework for Modeling Infectious Disease with Bigdata. - Honghao Shi; Qijian Tian; Jingyuan Wang 001; Jiawei Cheng (CIKM, 2022)

Precision CityShield Against Hazardous Chemicals Threats via Location Mining and Self-Supervised Learning. - Jiahao Ji; Jingyuan Wang 001; Junjie Wu 002; Boyang Han; Junbo Zhang; Yu Zheng 004 (KDD, 2022)

Generative Adversarial Networks Enhanced Pre-training for Insufficient Electronic Health Records Modeling. - Houxing Ren; Jingyuan Wang 001; Wayne Xin Zhao (KDD, 2022)

ElitePLM: An Empirical Study on General Language Ability Evaluation of Pretrained Language Models. - Junyi Li; Tianyi Tang; Zheng Gong 001; Lixin Yang 005; Zhuohao Yu 001; Zhipeng Chen 001; Jingyuan Wang 001; Xin Zhao 018; Ji-Rong Wen (NAACL-HLT, 2022)

Alleviating Spurious Correlations in Knowledge-aware Recommendations through Counterfactual Generator. - Shanlei Mu; Yaliang Li; Wayne Xin Zhao; Jingyuan Wang 001; Bolin Ding; Ji-Rong Wen (SIGIR, 2022)

Personalized Route Recommendation With Neural Network Enhanced Search Algorithm. - Jingyuan Wang 001; Ning Wu; Wayne Xin Zhao (IEEE Trans. Knowl. Data Eng., 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)

Spatio-Temporal Self-Supervised Learning for Traffic Flow Prediction. - Jiahao Ji; Jingyuan Wang 001; Chao Huang 001; Junjie Wu 002; Boren Xu; Zhenhe Wu; Junbo Zhang; Yu Zheng 004 (AAAI, 2023)

PDFormer: Propagation Delay-Aware Dynamic Long-Range Transformer for Traffic Flow Prediction. - Jiawei Jiang 003; Chengkai Han; Wayne Xin Zhao; Jingyuan Wang 001 (AAAI, 2023)

Continuous Trajectory Generation Based on Two-Stage GAN. - Wenjun Jiang; Wayne Xin Zhao; Jingyuan Wang 001; Jiawei Jiang 003 (AAAI, 2023)

The Web Can Be Your Oyster for Improving Language Models. - Junyi Li; Tianyi Tang; Wayne Xin Zhao; Jingyuan Wang 001; Jian-Yun Nie; Ji-Rong Wen (ACL (Findings), 2023)

Rethinking the Evaluation for Conversational Recommendation in the Era of Large Language Models. - Xiaolei Wang 005; Xinyu Tang 004; Xin Zhao 018; Jingyuan Wang 001; Ji-Rong Wen (EMNLP, 2023)

Self-supervised Trajectory Representation Learning with Temporal Regularities and Travel Semantics. - Jiawei Jiang 003; Dayan Pan; Houxing Ren; Xiaohan Jiang; Chao Li 001; Jingyuan Wang 001 (ICDE, 2023)

WHEN: A Wavelet-DTW Hybrid Attention Network for Heterogeneous Time Series Analysis. - Jingyuan Wang 001; Chen Yang 024; Xiaohan Jiang; Junjie Wu 002 (KDD, 2023)

Integrating Explicit and Implicit Feature Interactions for Online Ad Installation Forecasting. - Jiawei Jiang 003; Bing Wang; Jingyuan Wang 001 (RecSys Challenge, 2023)

BUAA_BIGSCity: Spatial-Temporal Graph Neural Network for Wind Power Forecasting in Baidu KDD CUP 2022. - Jiawei Jiang 003; Chengkai Han; Jingyuan Wang 001 (CoRR, 2023)

Towards Efficient and Comprehensive Urban Spatial-Temporal Prediction: A Unified Library and Performance Benchmark. - Jingyuan Wang 001; Jiawei Jiang 003; Wenjun Jiang; Chengkai Han; Wayne Xin Zhao (CoRR, 2023)

The Web Can Be Your Oyster for Improving Large Language Models. - Junyi Li; Tianyi Tang; Wayne Xin Zhao; Jingyuan Wang 001; Jian-Yun Nie; Ji-Rong Wen (CoRR, 2023)

Unified Data Management and Comprehensive Performance Evaluation for Urban Spatial-Temporal Prediction [Experiment, Analysis & Benchmark]. - Jiawei Jiang 003; Chengkai Han; Wayne Xin Zhao; Jingyuan Wang 001 (CoRR, 2023)

Self-Supervised Deconfounding Against Spatio-Temporal Shifts: Theory and Modeling. - Jiahao Ji; Wentao Zhang; Jingyuan Wang 001; Yue He; Chao Huang 001 (CoRR, 2023)

Curriculum Pre-training Heterogeneous Subgraph Transformer for Top-N Recommendation. - Hui Wang 072; Kun Zhou 002; Xin Zhao 018; Jingyuan Wang 001; Ji-Rong Wen (ACM Trans. Inf. Syst., 2023)

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)

Shortening Passengers' Travel Time: A Dynamic Metro Train Scheduling Approach Using Deep Reinforcement Learning. - Zhaoyuan Wang; Zheyi Pan; Shun Chen; Shenggong Ji; Xiuwen Yi; Junbo Zhang; Jingyuan Wang 001; Zhiguo Gong; Tianrui Li 001; Yu Zheng 004 (IEEE Trans. Knowl. Data Eng., 2023)

Traffic Flow Prediction Based on Spatiotemporal Potential Energy Fields. - Jingyuan Wang 001; Jiahao Ji; Zhe Jiang 001; Leilei Sun (IEEE Trans. Knowl. Data Eng., 2023)

GAN-Based Anomaly Detection for Multivariate Time Series Using Polluted Training Set. - Bowen Du 001; Xuanxuan Sun; Junchen Ye; Ke Cheng 003; Jingyuan Wang 001; Leilei Sun (IEEE Trans. Knowl. Data Eng., 2023)

Full Bayesian Significance Testing for Neural Networks. - Zehua Liu; Zimeng Li; Jingyuan Wang 001; Yue He (AAAI, 2024)

Not Everything is All You Need: Toward Low-Redundant Optimization for Large Language Model Alignment. - Zhipeng Chen 001; Kun Zhou 002; Xin Zhao 018; Jingyuan Wang 001; Ji-Rong Wen (EMNLP, 2024)

AirPhyNet: Harnessing Physics-Guided Neural Networks for Air Quality Prediction. - Kethmi Hirushini Hettige; Jiahao Ji; Shili Xiang; Cheng Long 001; Gao Cong; Jingyuan Wang 001 (ICLR, 2024)

Full Bayesian Significance Testing for Neural Networks in Traffic Forecasting. - Zehua Liu; Jingyuan Wang 001; Zimeng Li; Yue He (IJCAI, 2024)

Traj-MergeGAN: A Trajectory Privacy Preservation Model Based on Generative Adversarial Network. - Lida Guo; Zimeng Li; Jingyuan Wang 001 (KSEM (3), 2024)

Jointly Learning Representations for Map Entities via Heterogeneous Graph Contrastive Learning. - Jiawei Jiang 003; Yifan Yang; Jingyuan Wang 001; Junjie Wu 002 (CoRR, 2024)

Research on Foundation Model for Spatial Data Intelligence: China's 2024 White Paper on Strategic Development of Spatial Data Intelligence. - Shaohua Wang; Xing Xie 001; Yong Li 008; Danhuai Guo; Zhi Cai; Yu Liu 070; Yang Yue 001; Xiao Pan; Feng Lu 004; Huayi Wu; Zhipeng Gui; Zhiming Ding; et al. (CoRR, 2024)

Low-Redundant Optimization for Large Language Model Alignment. - Zhipeng Chen 001; Kun Zhou 002; Wayne Xin Zhao; Jingyuan Wang 001; Ji-Rong Wen (CoRR, 2024)

Information practices in data analytics for supporting public health surveillance. - Dan Zhang 024; Loo Geok Pee; Shan L. Pan; Jingyuan Wang 001 (J. Assoc. Inf. Sci. Technol., 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)

Learnable Sparse Customization in Heterogeneous Edge Computing. - Jingjing Xue; Sheng Sun; Min Liu 001; Yuwei Wang 003; Zhuotao Liu; Jingyuan Wang 001 (ICDE, 2025)

Learning Universal Multi-level Market Irrationality Factors to Improve Stock Return Forecasting. - Chen Yang 024; Jingyuan Wang 001; Xiaohan Jiang; Junjie Wu 002 (KDD (1), 2025)

Seeing the Unseen: Learning Basis Confounder Representations for Robust Traffic Prediction. - Jiahao Ji; Wentao Zhang; Jingyuan Wang 001; Chao Huang 001 (KDD (1), 2025)

MiniRAG: Towards Extremely Simple Retrieval-Augmented Generation. - Tianyu Fan; Jingyuan Wang 001; Xubin Ren; Chao Huang 001 (CoRR, 2025)

A Modular Multitask Reasoning Framework Integrating Spatio-temporal Models and LLMs. - Kethmi Hirushini Hettige; Jiahao Ji; Cheng Long 001; Shili Xiang; Gao Cong; Jingyuan Wang 001 (CoRR, 2025)

Burst-Sensitive Traffic Forecast via Multi-Property Personalized Fusion in Federated Learning. - Jingjing Xue; Sheng Sun; Min Liu 001; Yuwei Wang 003; Xuying Meng; Jingyuan Wang 001; Junbo Zhang; Ke Xu 002 (IEEE Trans. Mob. Comput., 2025)