Menghai Pan

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 19

Top Topics

Top Venues

Publications

Yuchen Yan, Yongyi Hu, Qinghai Zhou, Lihui Liu, Zhichen Zeng, Yuzhong Chen, Menghai Pan, Huiyuan Chen, Mahashweta Das, Hanghang Tong
PaCEr: Network Embedding From Positional to Structural. WWW (2024)
Zhe Xu, Ruizhong Qiu, Yuzhong Chen, Huiyuan Chen, Xiran Fan, Menghai Pan, Zhichen Zeng, Mahashweta Das, Hanghang Tong
Discrete-state Continuous-time Diffusion for Graph Generation. CoRR (2024)
Chin-Chia Michael Yeh, Yan Zheng, Menghai Pan, Huiyuan Chen, Zhongfang Zhuang, Junpeng Wang, Liang Wang, Wei Zhang, Jeff M. Phillips, Eamonn J. Keogh
Sketching Multidimensional Time Series for Fast Discord Mining. CoRR (2023)
Chin-Chia Michael Yeh, Yan Zheng, Menghai Pan, Huiyuan Chen, Zhongfang Zhuang, Junpeng Wang, Liang Wang, Wei Zhang, Jeff M. Phillips, Eamonn J. Keogh
Sketching Multidimensional Time Series for Fast Discord Mining. BigData (2023)
Zhe Xu, Yuzhong Chen, Menghai Pan, Huiyuan Chen, Mahashweta Das, Hao Yang, Hanghang Tong
Kernel Ridge Regression-Based Graph Dataset Distillation. KDD (2023)
Huiyuan Chen, Kaixiong Zhou, Zhimeng Jiang, Chin-Chia Michael Yeh, Xiaoting Li, Menghai Pan, Yan Zheng, Xia Hu, Hao Yang
Probabilistic Masked Attention Networks for Explainable Sequential Recommendation. IJCAI (2023)
Zhe Xu, Menghai Pan, Yuzhong Chen, Huiyuan Chen, Yuchen Yan, Mahashweta Das, Hanghang Tong
Invariant Graph Transformer. CoRR (2023)
Zhe Xu, Yuzhong Chen, Qinghai Zhou, Yuhang Wu, Menghai Pan, Hao Yang, Hanghang Tong
Node Classification Beyond Homophily: Towards a General Solution. KDD (2023)
Huiyuan Chen, Yusan Lin, Menghai Pan, Lan Wang, Chin-Chia Michael Yeh, Xiaoting Li, Yan Zheng, Fei Wang, Hao Yang
Denoising Self-Attentive Sequential Recommendation. RecSys (2022)
Huiyuan Chen, Yusan Lin, Menghai Pan, Lan Wang, Chin-Chia Michael Yeh, Xiaoting Li, Yan Zheng, Fei Wang, Hao Yang
Denoising Self-attentive Sequential Recommendation. CoRR (2022)
Han Xu, Menghai Pan, Zhimeng Jiang, Huiyuan Chen, Xiaoting Li, Mahashweta Das, Hao Yang
Towards Generating Adversarial Examples on Mixed-type Data. CoRR (2022)
Menghai Pan, Yanhua Li, Zhi-Li Zhang, Jun Luo
SCCS: Smart Cloud Commuting System With Shared Autonomous Vehicles. IEEE Trans. Big Data 8 (5) (2022)
Menghai Pan, Xin Zhang, Yanhua Li, Xun Zhou, Jun Luo
Learning Decision Making Strategies of Non-experts: A NEXT-GAIL Model for Taxi Drivers. SIGSPATIAL/GIS (2021)
Menghai Pan, Weixiao Huang, Yanhua Li, Xun Zhou, Zhenming Liu, Rui Song, Hui Lu, Zhihong Tian, Jun Luo
DHPA: Dynamic Human Preference Analytics Framework: A Case Study on Taxi Drivers' Learning Curve Analysis. ACM Trans. Intell. Syst. Technol. 11 (1) (2020)
Huimin Ren, Menghai Pan, Yanhua Li, Xun Zhou, Jun Luo
ST-SiameseNet: Spatio-Temporal Siamese Networks for Human Mobility Signature Identification. KDD (2020)
Menghai Pan, Weixiao Huang, Yanhua Li, Xun Zhou, Zhenming Liu, Jie Bao, Yu Zheng, Jun Luo
Is Reinforcement Learning the Choice of Human Learners?: A Case Study of Taxi Drivers. SIGSPATIAL/GIS (2020)
Menghai Pan, Weixiao Huang, Yanhua Li, Xun Zhou, Jun Luo
xGAIL: Explainable Generative Adversarial Imitation Learning for Explainable Human Decision Analysis. KDD (2020)
Menghai Pan, Yanhua Li, Xun Zhou, Zhenming Liu, Rui Song, Hui Lu, Jun Luo
Dissecting the Learning Curve of Taxi Drivers: A Data-Driven Approach. SDM (2019)
Guanxiong Liu, Menghai Pan, Yanhua Li, Zhi-Li Zhang, Jun Luo
Modeling urban trip demands in cloud-commuting system: A holistic approach. INFOCOM Workshops (2017)