| 2026 | ICDE | PORCA: Root Cause Analysis with Partially Observed Data. | Chang Gong, Di Yao, Jin Wang, Wenbin Li, Lanting Fang, Yongtao Xie, Kaiyu Feng, Peng Han, Jingping Bi |
| 2026 | KDD | Traj-MLLM: Can Multimodal Large Language Models Reform Trajectory Data Mining? | Shuo Liu, Di Yao, Yan Lin, Gao Cong, Jingping Bi |
| 2025 | AAAI | Effective and Efficient Representation Learning for Flight Trajectories. | Shuo Liu, Wenbin Li, Di Yao, Jingping Bi |
| 2025 | WWW | STBench: Assessing the Ability of Large Language Models in Spatio-Temporal Analysis. | Wenbin Li, Di Yao, Ruibo Zhao, Wenjie Chen, Zijie Xu, Chengxue Luo, Chang Gong, Quanliang Jing, Haining Tan, Jingping Bi |
| 2025 | TrustCom | LDP: Latent Diffusion-based Adversarial Purification towards Transformer-based Visual Encoders. | Mengfan Li, Xinxin Fan, Quanliang Jing, Shaoye Luo, Yunfeng Lu, Jingping Bi |
| 2024 | DASFAA | Trajectory Completion via Context-Guided Neural Filtering and Encoding. | Di Yao, Fangda Guo, Zhenyu Wen, Yu Guo, Peng Cheng, Yangyuan He, Jingping Bi |
| 2024 | ICDE | Deep Dirichlet Process Mixture Model for Non-parametric Trajectory Clustering. | Di Yao, Jin Wang, Wenjie Chen, Fangda Guo, Peng Han, Jingping Bi |
| 2024 | ICDE | CausalTAD: Causal Implicit Generative Model for Debiased Online Trajectory Anomaly Detection. | Wenbin Li, Di Yao, Chang Gong, Xiaokai Chu, Quanliang Jing, Xiaolei Zhou, Yuxuan Zhang, Yunxia Fan, Jingping Bi |
| 2024 | ICDM | AnomalyLLM: Few-Shot Anomaly Edge Detection for Dynamic Graphs Using Large Language Models. | Shuo Liu, Di Yao, Lanting Fang, Zhetao Li, Wenbin Li, Kaiyu Feng, Xiaowen Ji, Jingping Bi |
| 2024 | WSDM | CausalMMM: Learning Causal Structure for Marketing Mix Modeling. | Chang Gong, Di Yao, Lei Zhang, Sheng Chen, Wenbin Li, Yueyang Su, Jingping Bi |
| 2023 | IJCNN | Few-shot learning for trajectory outlier detection with only normal trajectories. | Yueyang Su, Di Yao, Jingping Bi |
| 2023 | KDD | Causal Discovery from Temporal Data. | Chang Gong, Di Yao, Chuzhe Zhang, Wenbin Li, Jingping Bi, Lun Du, Jin Wang |
| 2023 | SIGIR | TripSafe: Retrieving Safety-related Abnormal Trips in Real-time with Trajectory Data. | Yueyang Su, Di Yao, Xiaolei Zhou, Yuxuan Zhang, Yunxia Fan, Lu Bai, Jingping Bi |
| 2022 | CIKM | Can Adversarial Training benefit Trajectory Representation?: An Investigation on Robustness for Trajectory Similarity Computation. | Quanliang Jing, Shuo Liu, Xinxin Fan, Jingwei Li, Di Yao, Baoli Wang, Jingping Bi |
| 2022 | DASFAA | Contrastive Disentangled Graph Convolutional Network for Weakly-Supervised Classification. | Xiaokai Chu, Jiashu Zhao, Xinxin Fan, Di Yao, Zhihua Zhu, Lixin Zou, Dawei Yin, Jingping Bi |
| 2022 | ICANN | Trajectory-Based Mobile Game Bots Detection with Gaussian Mixture Model. | Yueyang Su, Di Yao, Jingwei Li, Baoli Wang, Jingping Bi, Shiwei Zhao, Runze Wu, Jianrong Tao, Hao Deng |
| 2022 | IJCNN | GTAT: Adversarial Training with Generated Triplets. | Baoli Wang, Xinxin Fan, Quanliang Jing, Yueyang Su, Jingwei Li, Jingping Bi |
| 2022 | KDD | Few-shot Learning for Trajectory-based Mobile Game Cheating Detection. | Yueyang Su, Di Yao, Xiaokai Chu, Wenbin Li, Jingping Bi, Shiwei Zhao, Runze Wu, Shize Zhang, Jianrong Tao, Hao Deng |
| 2022 | KDD | CausalMTA: Eliminating the User Confounding Bias for Causal Multi-touch Attribution. | Di Yao, Chang Gong, Lei Zhang, Sheng Chen, Jingping Bi |
| 2022 | KDD | TrajGAT: A Graph-based Long-term Dependency Modeling Approach for Trajectory Similarity Computation. | Di Yao, Haonan Hu, Lun Du, Gao Cong, Shi Han, Jingping Bi |
| 2022 | WWW | FingFormer: Contrastive Graph-based Finger Operation Transformer for Unsupervised Mobile Game Bot Detection. | Wenbin Li, Xiaokai Chu, Yueyang Su, Di Yao, Shiwei Zhao, Runze Wu, Shize Zhang, Jianrong Tao, Hao Deng, Jingping Bi |
| 2021 | CIKM | Variational Cross-Network Embedding for Anonymized User Identity Linkage. | Xiaokai Chu, Xinxin Fan, Zhihua Zhu, Jingping Bi |
| 2021 | IJCNN | TRANSFAKE: Multi-task Transformer for Multimodal Enhanced Fake News Detection. | Quanliang Jing, Di Yao, Xinxin Fan, Baoli Wang, Haining Tan, Xiangpeng Bu, Jingping Bi |
| 2021 | IJCNN | AdvCGAN: An Elastic and Covert Adversarial Examples Generating Framework. | Baoli Wang, Xinxin Fan, Quanliang Jing, Haining Tan, Jingping Bi |
| 2021 | MDM | Meta-Learning Enhanced Neural ODE for Citywide Next POI Recommendation. | Haining Tan, Di Yao, Tao Huang, Baoli Wang, Quanliang Jing, Jingping Bi |
| 2020 | CIKM | LRHNE: A Latent-Relation Enhanced Embedding Method for Heterogeneous Information Networks. | Zhihua Zhu, Xinxin Fan, Xiaokai Chu, Jianhui Huang, Jingping Bi |
| 2020 | KDD | HGCN: A Heterogeneous Graph Convolutional Network-Based Deep Learning Model Toward Collective Classification. | Zhihua Zhu, Xinxin Fan, Xiaokai Chu, Jingping Bi |
| 2019 | ICDE | Computing Trajectory Similarity in Linear Time: A Generic Seed-Guided Neural Metric Learning Approach. | Di Yao, Gao Cong, Chao Zhang, Jingping Bi |
| 2019 | IJCNN | Noise-Aware Network Embedding for Multiplex Network. | Xiaokai Chu, Xinxin Fan, Di Yao, Chen-Lin Zhang, Jianhui Huang, Jingping Bi |
| 2019 | WWW | Cross-Network Embedding for Multi-Network Alignment. | Xiaokai Chu, Xinxin Fan, Di Yao, Zhihua Zhu, Jianhui Huang, Jingping Bi |
| 2018 | ISCC | Update Cost-Aware Cache Replacement for Wildcard Rules in Software-Defined Networking. | Zixuan Ding, Xinxin Fan, Jinping Yu, Jingping Bi |
| 2018 | KSEM | SERL: Semantic-Path Biased Representation Learning of Heterogeneous Information Network. | Haining Tan, Weiqiang Tang, Xinxin Fan, Quanliang Jing, Jingping Bi |
| 2018 | PAKDD | Sub-trajectory- and Trajectory-Neighbor-based Outlier Detection over Trajectory Streams. | Zhihua Zhu, Di Yao, Jianhui Huang, Hanqiang Li, Jingping Bi |
| 2017 | CIKM | SERM: A Recurrent Model for Next Location Prediction in Semantic Trajectories. | Di Yao, Chao Zhang, Jian-Hui Huang, Jingping Bi |
| 2017 | IJCNN | Trajectory clustering via deep representation learning. | Di Yao, Chao Zhang, Zhihua Zhu, Jian-Hui Huang, Jingping Bi |
| 2017 | IPCCC | Scheduling loop-free updates for multiple policies with overlaps in software-defined networks. | Jinping Yu, Xinxin Fan, Guoqiang Zhang, Jingping Bi |
| 2015 | IJCNN | A word distributed representation based framework for large-scale short text classification. | Di Yao, Jingping Bi, Jian-Hui Huang, Jin Zhu |
| 2014 | CloudCom | Virtual-Switching-Aware VM Consolidation in Virtualized Data Centers. | Mingfu Li, Jingping Bi, Zhongcheng Li |
| 2013 | GLOBECOM | Towards coordinated congestion control and load balancing in datacenter networks. | Zhengwei Zhao, Zhixiong Jiang, Chunyang Lu, Yushan Cai, Jingping Bi |
| 2013 | ISCC | Characterizing and analysis of the flattening Internet topology. | Zhengwei Zhao, Jingping Bi |
| 2012 | GLOBECOM | Unveiling the resource consumption overhead of virtual machine consolidation in data centers. | Mingfu Li, Wei Liang, Jingping Bi, Zhongcheng Li |
| 2011 | GLOBECOM | RPIM: Inferring BGP Routing Policies in ISP Networks. | Wei Liang, Jingping Bi, Yiting Xia, Chengchen Hu |
| 2009 | GLOBECOM | On Characterizing PPStream: Measurement and Analysis of P2P IPTV under Large-Scale Broadcasting. | Wei Liang, Jingping Bi, Rong Wu, Zhenyu Li, Chen Li |
| 2009 | ISCC | PPStream characterization: Measurement of P2P live streaming during Olympics. | Wei Liang, Rong Wu, Jingping Bi, Zhenyu Li |
| 2009 | ISCC | Adaptive nodes scheduling approach for clustered sensor networks. | Xu Xu, Yu Hen Hu, Jingping Bi, Wei Liu |
| 2008 | GLOBECOM | On the Accurate Identification of Familiar Inter-Domain Routing Instabilities. | Wei Liang, Ye Li, Jingping Bi, Guoqiang Zhang |
| 2005 | LCN | Scaling Behavior of Internet Packet Delay Dynamics Based on Small-interval Measurements. | Kai Wang, Jing Huang, Zhongcheng Li, Xiaohong Wang, Feng Yang, Jingping Bi |
| 2003 | LCN | Measuring the Internet Using Public Traceroute Servers. | Jingping Bi, Qi Wu, Zhongcheng Li |
| 2002 | ISCC | Packet delay and packet loss in the Internet. | Jingping Bi, Qi Wu, Zhongcheng Li |