An Open-Source Development and Simulation Platform for Smart Wheelchairs. - Wenlong Liao; Weidong Chen 001; Zhixuan Wei; Wenxi Zhang; Jingchuan Wang; Kang Li 002 (ICIRA (1), 2013)

Modeling Daily Load Profiles of Distribution Network for Scenario Generation Using Flow-Based Generative Network. - Leijiao Ge; Wenlong Liao; Shouxiang Wang; Birgitte Bak-Jensen; Jayakrishnan Radhakrishna Pillai (IEEE Access, 2020)

STFlow: Self-Taught Optical Flow Estimation Using Pseudo Labels. - Zhe Ren; Wenhan Luo; Junchi Yan; Wenlong Liao; Xiaokang Yang 001; Alan L. Yuille; Hongyuan Zha (IEEE Trans. Image Process., 2020)

A Review of Graph Neural Networks and Their Applications in Power Systems. - Wenlong Liao; Birgitte Bak-Jensen; Jayakrishnan Radhakrishna Pillai; Yuelong Wang; Yusen Wang (CoRR, 2021)

Scenario Generation for Cooling, Heating, and Power Loads Using Generative Moment Matching Networks. - Wenlong Liao; Yusen Wang; Yuelong Wang; Kody M. Powell; Qi Liu (CoRR, 2021)

Short-Term Power Prediction for Renewable Energy Using Hybrid Graph Convolutional Network and Long Short-Term Memory Approach. - Wenlong Liao; Birgitte Bak-Jensen; Jayakrishnan Radhakrishna Pillai; Zhe Yang 007; Kuangpu Liu (CoRR, 2021)

Opendenselane: A Dense Lidar-Based Dataset for HD Map Construction. - Xiaolei Chen; Wenlong Liao; Bin Liu 054; Junchi Yan; Tao He (ICME, 2022)

Trajectory Prediction from EGO View: A Coordinate Transform and Tail-Light Event Driven Approach. - Wenlong Liao; Xiaolei Chen; Weipeng Zhang; Huanxi Liu; Junchi Yan; Yingxin Lou; Tao Xue; Shuqi Mei (ICME, 2022)

Distilldarts: Network Distillation for Smoothing Gradient Distributions in Differentiable Architecture Search. - Wenlong Liao; Zhexi Zhang; Xiaoxing Wang; Tao Yin; Huanxi Liu; Zhenyu Ren; Jian Yin 023; Shuzhi Feng (ICME, 2022)

WindGMMN: Scenario Forecasting for Wind Power Using Generative Moment Matching Networks. - Wenlong Liao; Zhe Yang 007; Xinxin Chen; Yaqi Li (IEEE Trans. Artif. Intell., 2022)

Improved Euclidean Distance Based Pilot Protection for Lines With Renewable Energy Sources. - Zhe Yang 007; Wenlong Liao; Hongyi Wang 011; Claus Leth Bak; Zhe Chen 007 (IEEE Trans. Ind. Informatics, 2022)

Explainable Modeling for Wind Power Forecasting: A Glass-Box Approach with Exceptional Accuracy. - Wenlong Liao; Fernando Porté-Agel; Jiannong Fang; Birgitte Bak-Jensen; Guangchun Ruan; Zhe Yang 007 (CoRR, 2023)

An Explainable Framework for Machine learning-Based Reactive Power Optimization of Distribution Network. - Wenlong Liao; Benjamin Schäfer 001; Dalin Qin; Gonghao Zhang; Zhixian Wang; Zhe Yang 007 (CoRR, 2023)

Improving the Accuracy and Interpretability of Neural Networks for Wind Power Forecasting. - Wenlong Liao; Fernando Porté-Agel; Jiannong Fang; Birgitte Bak-Jensen; Zhe Yang 007; Gonghao Zhang (CoRR, 2023)

SCRDet++: Detecting Small, Cluttered and Rotated Objects via Instance-Level Feature Denoising and Rotation Loss Smoothing. - Xue Yang 005; Junchi Yan; Wenlong Liao; Xiaokang Yang 001; Jin Tang 001; Tao He (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

Harmonic Injection Based Distance Protection for Line With Converter-Interfaced Sources. - Zhe Yang 007; Qi Zhang 065; Wenlong Liao; Claus Leth Bak; Zhe Chen 007 (IEEE Trans. Ind. Electron., 2023)

Fault Coordination Control for Converter-Interfaced Sources Compatible With Distance Protection During Asymmetrical Faults. - Zhe Yang 007; Wenlong Liao; Qi Zhang 065; Claus Leth Bak; Zhe Chen 007 (IEEE Trans. Ind. Electron., 2023)

MWSIS: Multimodal Weakly Supervised Instance Segmentation with 2D Box Annotations for Autonomous Driving. - Guangfeng Jiang; Jun Liu 004; Yuzhi Wu; Wenlong Liao; Tao He; Pai Peng (AAAI, 2024)

Grounding and Enhancing Grid-based Models for Neural Fields. - Zelin Zhao; Fenglei Fan; Wenlong Liao; Junchi Yan (CVPR, 2024)

Alpharotate: A Rotation Detection Benchmark Using Tensorflow. - Xue Yang 005; Yue Zhou 005; Wenlong Liao; Tao He; Junchi Yan (ICASSP, 2024)

Efficient Architecture Search for Real-Time Instance Segmentation. - Renqiu Xia; Dongyuan Zhang; Yixin Dong; Juanping Zhao; Wenlong Liao; Tao He; Junchi Yan (ICASSP, 2024)

CalibRBEV: Multi-Camera Calibration via Reversed Bird's-eye-view Representations for Autonomous Driving. - Wenlong Liao; Sunyuan Qiang; Xianfei Li; Xiaolei Chen; Haoyu Wang; Yanyan Liang 001; Junchi Yan; Tao He; Pai Peng (ACM Multimedia, 2024)

ActiveAD: Planning-Oriented Active Learning for End-to-End Autonomous Driving. - Han Lu; Xiaosong Jia; Yichen Xie 002; Wenlong Liao; Xiaokang Yang 001; Junchi Yan (CoRR, 2024)

AMP: Autoregressive Motion Prediction Revisited with Next Token Prediction for Autonomous Driving. - Xiaosong Jia; Shaoshuai Shi; Zijun Chen; Li Jiang; Wenlong Liao; Tao He; Junchi Yan (CoRR, 2024)

TimeGPT in Load Forecasting: A Large Time Series Model Perspective. - Wenlong Liao; Fernando Porté-Agel; Jiannong Fang; Christian Rehtanz; Shouxiang Wang; Dechang Yang; Zhe Yang 007 (CoRR, 2024)

Open-Vocabulary Object Detection via Neighboring Region Attention Alignment. - Sunyuan Qiang; Xianfei Li; Yanyan Liang 001; Wenlong Liao; Tao He; Pai Peng (CoRR, 2024)

Zero-Shot Load Forecasting with Large Language Models. - Wenlong Liao; Zhe Yang 007; Mengshuo Jia; Christian Rehtanz; Jiannong Fang; Fernando Porté-Agel (CoRR, 2024)

Control-Based Faulty Phase Detection Methods for Lines With Converter-Interfaced Sources. - Zhe Yang 007; Wenlong Liao; Claus Leth Bak; Zhe Chen 007 (IEEE Trans. Ind. Electron., 2024)

Reducing Annotation Efforts in Electricity Theft Detection Through Optimal Sample Selection. - Wenlong Liao; Birgitte Bak-Jensen; Jayakrishnan Radhakrishna Pillai; Xiaofang Xia; Guangchun Ruan; Zhe Yang 007 (IEEE Trans. Instrum. Meas., 2024)

Explainable Fault Diagnosis of Oil-Immersed Transformers: A Glass-Box Model. - Wenlong Liao; Yi Zhang 043; Di Cao; Takayuki Ishizaki; Zhe Yang 007; Dechang Yang (IEEE Trans. Instrum. Meas., 2024)

Transfer Learning-Driven Electricity Theft Detection in Small-Sample Cases. - Wenlong Liao; Ruijin Zhu; Abdulrahman Takiddin; Muhammad Tariq; Guangchun Ruan; Xueyuan Cui; Zhe Yang 007 (IEEE Trans. Instrum. Meas., 2024)

Electricity Theft Detection Using Dynamic Graph Construction and Graph Attention Network. - Wenlong Liao; Ruijin Zhu; Zhe Yang 007; Kuangpu Liu; Bin Zhang; Shuyang Zhu; Bin Feng (IEEE Trans. Ind. Informatics, 2024)

Active-Control-Based Three-Phase Reclosing Scheme for Single Transmission Line With PMSGs. - Zhe Yang 007; Wenlong Liao; Claus Leth Bak; Zhe Chen 007 (IEEE Trans. Ind. Electron., 2024)

Can Gas Consumption Data Improve the Performance of Electricity Theft Detection? - Wenlong Liao; Ruijin Zhu; Takayuki Ishizaki; Yushuai Li; Yixiong Jia; Zhe Yang 007 (IEEE Trans. Ind. Informatics, 2024)

Minkowski Distance Based Pilot Protection for Tie Lines Between Offshore Wind Farms and MMC. - Zhe Yang 007; Ruijin Zhu; Wenlong Liao (IEEE Trans. Ind. Informatics, 2024)

Int2Planner: An Intention-based Multi-modal Motion Planner for Integrated Prediction and Planning. - Xiaolei Chen; Junchi Yan; Wenlong Liao; Tao He; Pai Peng (AAAI, 2025)

Generative Planning with 3D-Vision Language Pre-training for End-to-End Autonomous Driving. - Tengpeng Li; Hanli Wang; Xianfei Li; Wenlong Liao; Tao He; Pai Peng (AAAI, 2025)

Rethinking Temporal Fusion with a Unified Gradient Descent View for 3D Semantic Occupancy Prediction. - Dubing Chen; Huan Zheng; Jin Fang; Xingping Dong; Xianfei Li; Wenlong Liao; Tao He; Pai Peng; Jianbing Shen (CVPR, 2025)

Pedestrian Motion Reconstruction: A Large-scale Benchmark via Mixed Reality Rendering with Multiple Perspectives and Modalities. - Yichen Wang; Yiyi Zhang; Xinhao Hu; Li Niu 002; Jianfu Zhang 003; Yasushi Makihara; Yasushi Yagi; Pai Peng; Wenlong Liao; Tao He; Junchi Yan; Liqing Zhang 001 (ICLR, 2025)

A Model-Agnostic Approach to Reveal Detection Basis and Occurrence Time of Electricity Theft. - Wenlong Liao; Shuyang Zhu; Leijiao Ge; Takayuki Ishizaki; Ruobin Qi; Yue Yang; Zhe Yang 007 (IEEE Trans. Instrum. Meas., 2025)

You Only Click Once: Single Point Weakly Supervised 3D Instance Segmentation for Autonomous Driving. - Guangfeng Jiang; Jun Liu 004; Yongxuan Lv; Yuzhi Wu; Xianfei Li; Wenlong Liao; Tao He; Pai Peng (CoRR, 2025)

Mitigating Class Imbalance Issues in Electricity Theft Detection via a Sample-Weighted Loss. - Wenlong Liao; Ruijin Zhu; Leijiao Ge; Di Cao; Zhe Yang 007 (IEEE Trans. Ind. Informatics, 2025)