Temporal Pyramid Network for Pedestrian Trajectory Prediction with Multi-Supervision. - Rongqin Liang; Yuanman Li; Xia Li 006; Yi Tang 008; Jiantao Zhou 001; Wenbin Zou (AAAI, 2021)

Proximal Policy Optimization with Elo-based Opponent Selection and Combination with Enhanced Rolling Horizon Evolution Algorithm. - Rongqin Liang; Yuanheng Zhu; Zhentao Tang; Mu Yang; Xiaolong Zhu (CoG, 2021)

Synchronous Bi-directional Pedestrian Trajectory Prediction with Error Compensation. - Ce Xie; Yuanman Li; Rongqin Liang; Li Dong 006; Xia Li 006 (ACCV (6), 2022)

An Edge-Aware Transformer Framework for Image Inpainting Detection. - Liangpei Hu; Yuanman Li; Jiaxiang You; Rongqin Liang; Xia Li 006 (ICAIS (2), 2022)

Trajectory Forecasting Based on Prior-Aware Directed Graph Convolutional Neural Network. - Yuchao Su; Jie Du 001; Yuanman Li; Xia Li 006; Rongqin Liang; Zhongyun Hua; Jiantao Zhou 001 (IEEE Trans. Intell. Transp. Syst., 2022)

Temporal Pyramid Network With Spatial-Temporal Attention for Pedestrian Trajectory Prediction. - Yuanman Li; Rongqin Liang; Wei Wei 006; Wei Wang 077; Jiantao Zhou 001; Xia Li 006 (IEEE Trans. Netw. Sci. Eng., 2022)

Image Sharing Chain Detection VIA Sequence-To-Sequence Model. - Jiaxiang You; Yuanman Li; Rongqin Liang; Yuxuan Tan; Jiantao Zhou 001; Xia Li 006 (ICASSP, 2023)

Multiple degraded image restoration via degradation history estimation. - Minhua Liu; Yuanman Li; Rongqin Liang; Jiaxiang You; Xia Li 006 (ICME, 2023)

A Memory-Augmented Multi-Task Collaborative Framework for Unsupervised Traffic Accident Detection in Driving Videos. - Rongqin Liang; Yuanman Li; Yingxin Yi; Jiantao Zhou 001; Xia Li 006 (CoRR, 2023)

A Synchronous Bi-Directional Framework With Temporally Dependent Interaction Modeling for Pedestrian Trajectory Prediction. - Yuanman Li; Ce Xie; Rongqin Liang; Jie Du 001; Jiantao Zhou 001; Xia Li 006 (IEEE Trans. Netw. Sci. Eng., 2024)

Learning Hierarchical Fingerprints via Multi-Level Fusion for Video Integrity and Source Analysis. - Yuanman Li; Jiaxiong Ye; Limin Zeng; Rongqin Liang; Xianwei Zheng; Weiwei Sun 009; Na Wang (IEEE Trans. Consumer Electron., 2024)

Text-Driven Traffic Anomaly Detection With Temporal High-Frequency Modeling in Driving Videos. - Rongqin Liang; Yuanman Li; Jiantao Zhou 001; Xia Li 006 (IEEE Trans. Circuits Syst. Video Technol., 2024)

STGlow: A Flow-Based Generative Framework With Dual-Graphormer for Pedestrian Trajectory Prediction. - Rongqin Liang; Yuanman Li; Jiantao Zhou 001; Xia Li 006 (IEEE Trans. Neural Networks Learn. Syst., 2024)

A memory-augmented multi-task collaborative framework for unsupervised traffic anomaly detection in driving videos. - Rongqin Liang; Yuanman Li; Yingxin Yi; Jiantao Zhou 001; Xia Li 006 (Pattern Recognit., 2025)