Zepu Wang - RankMe

26 papers A* 1A 1B 3Misc 1Journal 16Unranked 4

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Decorrelating the Future: Joint Frequency Domain Learning for Spatio-temporal Forecasting. CoRR Zepu Wang, Bowen Liao, Jeff Ban
2025	J	`jnl`	A Novel Analytical Method for Eliminating the Multiprobe Array and Environment Interference in Spherical Near-Field Measurement. IEEE Trans. Instrum. Meas. Ruixue Zhang, Shuai Zhang, Zepu Wang, Zixuan Song, Chan Bai
2025	J	`jnl`	A Survey on Diffusion Models for Anomaly Detection. CoRR Jing Liu, Zhenchao Ma, Zepu Wang, Yang Liu, Zehua Wang, Peng Sun, Liang Song, Bo Hu, Azzedine Boukerche, Victor C. M. Leung
2025	J	`jnl`	CRCL: Causal Representation Consistency Learning for Anomaly Detection in Surveillance Videos. CoRR Yang Liu, Hongjin Wang, Zepu Wang, Xiaoguang Zhu, Jing Liu, Peng Sun, Rui Tang, Jianwei Du, Victor C. M. Leung, Liang Song
2025	J	`jnl`	CRCL: Causal Representation Consistency Learning for Anomaly Detection in Surveillance Videos. IEEE Trans. Image Process. Yang Liu, Hongjin Wang, Zepu Wang, Xiaoguang Zhu, Jing Liu, Peng Sun, Rui Tang, Jianwei Du, Victor C. M. Leung, Liang Song
2025	J	`jnl`	Domain Adaptation Framework for Turning Movement Count Estimation with Limited Data. CoRR Xiaobo Ma, Hyunsoo Noh, Ryan Hatch, James Tokishi, Zepu Wang
2025	J	`jnl`	Event-CausNet: Unlocking Causal Knowledge from Text with Large Language Models for Reliable Spatio-Temporal Forecasting. CoRR Luyao Niu, Zepu Wang, Shuyi Guan, Yang Liu, Peng Sun
2025	B	`conf`	MF-AttnBiLSTM: Traffic Flow Prediction via Hybrid Signal Decomposition and Dual-Stream Temporal Attention Learning. GLOBECOM Luyao Niu, Zepu Wang, Jing Liu, Azzedine Boukerche, Peng Sun
2025	Misc	`conf`	Uncertainty-Aware Crime Prediction With Spatial Temporal Multivariate Graph Neural Networks. ICASSP Zepu Wang, Xiaobo Ma, Huajie Yang, Weimin Lyu, Yang Liu, Peng Sun, Sharath Chandra Guntuku
2025	A*	`conf`	Unlocking the Power of LSTM for Long Term Time Series Forecasting. AAAI Yaxuan Kong, Zepu Wang, Yuqi Nie, Tian Zhou, Stefan Zohren, Yuxuan Liang, Peng Sun, Qingsong Wen
2024	B	`conf`	"Less Knowledge is Less" - An Empirical Study of Intelligent Traffic Signal Network Efficiency Under Partial Information. GLOBECOM Yanming Shen, Zepu Wang, Peng Sun, Yulin Hu, Azzedine Boukerche
2024	J	`jnl`	Data-Driven Transfer Learning Framework for Estimating Turning Movement Counts. CoRR Xiaobo Ma, Hyunsoo Noh, Ryan Hatch, James Tokishi, Zepu Wang
2024	J	`jnl`	Large Language Models for Mobility in Transportation Systems: A Survey on Forecasting Tasks. CoRR Zijian Zhang, Yujie Sun, Zepu Wang, Yuqi Nie, Xiaobo Ma, Peng Sun, Ruolin Li
2024	—	`conf`	SK-SVR-CNN: A Hybrid Approach for Traffic Flow Prediction with Signature PDE Kernel and Convolutional Neural Networks. ICC Gezhi Wang, Zepu Wang, Peng Sun, Azzedine Boukerche
2024	J	`jnl`	TSI-Bench: Benchmarking Time Series Imputation. CoRR Wenjie Du, Jun Wang, Linglong Qian, Yiyuan Yang, Fanxing Liu, Zepu Wang, Zina M. Ibrahim, Haoxin Liu, Zhiyuan Zhao, Yingjie Zhou, Wenjia Wang, Kaize Ding, Yuxuan Liang, B. Aditya Prakash, Qingsong Wen
2024	J	`jnl`	Uncertainty-Aware Crime Prediction With Spatial Temporal Multivariate Graph Neural Networks. CoRR Zepu Wang, Xiaobo Ma, Huajie Yang, Weimin Lvu, Peng Sun, Sharath Chandra Guntuku
2024	J	`jnl`	Unlocking the Power of LSTM for Long Term Time Series Forecasting. CoRR Yaxuan Kong, Zepu Wang, Yuqi Nie, Tian Zhou, Stefan Zohren, Yuxuan Liang, Peng Sun, Qingsong Wen
2023	J	`jnl`	A novel hybrid method for achieving accurate and timeliness vehicular traffic flow prediction in road networks. Comput. Commun. Zepu Wang, Peng Sun, Yulin Hu, Azzedine Boukerche
2023	—	`conf`	SST: A Simplified Swin Transformer-based Model for Taxi Destination Prediction based on Existing Trajectory. ITSC Zepu Wang, Yifei Sun, Zhiyu Lei, Xincheng Zhu, Peng Sun
2023	J	`jnl`	SST: A Simplified Swin Transformer-based Model for Taxi Destination Prediction based on Existing Trajectory. CoRR Zepu Wang, Yifei Sun, Zhiyu Lei, Xincheng Zhu, Peng Sun
2023	—	`conf`	ST-GIN: An Uncertainty Quantification Approach in Traffic Data Imputation with Spatio-Temporal Graph Attention and Bidirectional Recurrent United Neural Networks. ITSC Zepu Wang, Dingyi Zhuang, Yankai Li, Jinhua Zhao, Peng Sun, Shenhao Wang, Yulin Hu
2023	J	`jnl`	ST-GIN: An Uncertainty Quantification Approach in Traffic Data Imputation with Spatio-temporal Graph Attention and Bidirectional Recurrent United Neural Networks. CoRR Zepu Wang, Dingyi Zhuang, Yankai Li, Jinhua Zhao, Peng Sun
2023	J	`jnl`	ST-MLP: A Cascaded Spatio-Temporal Linear Framework with Channel-Independence Strategy for Traffic Forecasting. CoRR Zepu Wang, Yuqi Nie, Peng Sun, Nam H. Nguyen, John M. Mulvey, H. Vincent Poor
2022	A	`conf`	A Novel Mixed Method of Machine Learning Based Models in Vehicular Traffic Flow Prediction. MSWiM Zepu Wang, Peng Sun, Yulin Hu, Azzedine Boukerche
2022	—	`conf`	A Novel Time Efficient Machine Learning-based Traffic Flow Prediction Method for Large Scale Road Network. ICC Zepu Wang, Peng Sun, Azzedine Boukerche
2022	B	`conf`	SFL: A High-precision Traffic Flow Predictor for Supporting Intelligent Transportation Systems. GLOBECOM Zepu Wang, Peng Sun, Yulin Hu, Azzedine Boukerche