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2020 – today
- 2025
[j16]Wenlong Liao
, Ruijin Zhu, Leijiao Ge, Di Cao, Zhe Yang:
Mitigating Class Imbalance Issues in Electricity Theft Detection via a Sample-Weighted Loss. IEEE Trans. Ind. Informatics 21(2): 1754-1763 (2025)- [i17]Tengpeng Li, Hanli Wang, Xianfei Li, Wenlong Liao, Tao He, Pai Peng:
Generative Planning with 3D-vision Language Pre-training for End-to-End Autonomous Driving. CoRR abs/2501.08861 (2025) - [i16]Xiaolei Chen, Junchi Yan, Wenlong Liao, Tao He, Pai Peng:
Int2Planner: An Intention-based Multi-modal Motion Planner for Integrated Prediction and Planning. CoRR abs/2501.12799 (2025) - [i15]Guangfeng Jiang, Jun Liu, Yongxuan Lv, Yuzhi Wu, Xianfei Li, Wenlong Liao, Tao He, Pai Peng:
You Only Click Once: Single Point Weakly Supervised 3D Instance Segmentation for Autonomous Driving. CoRR abs/2502.19698 (2025) - 2024
- [j15]Zhe Yang, Wenlong Liao, Claus Leth Bak, Zhe Chen:
Active-Control-Based Three-Phase Reclosing Scheme for Single Transmission Line With PMSGs. IEEE Trans. Ind. Electron. 71(5): 4795-4806 (2024) - [j14]Zhe Yang, Wenlong Liao, Claus Leth Bak, Zhe Chen:
Control-Based Faulty Phase Detection Methods for Lines With Converter-Interfaced Sources. IEEE Trans. Ind. Electron. 71(7): 7290-7300 (2024) - [j13]Wenlong Liao, Ruijin Zhu, Zhe Yang, Kuangpu Liu, Bin Zhang, Shuyang Zhu, Bin Feng:
Electricity Theft Detection Using Dynamic Graph Construction and Graph Attention Network. IEEE Trans. Ind. Informatics 20(4): 5074-5086 (2024) - [j12]Zhe Yang, Ruijin Zhu, Wenlong Liao:
Minkowski Distance Based Pilot Protection for Tie Lines Between Offshore Wind Farms and MMC. IEEE Trans. Ind. Informatics 20(6): 8441-8452 (2024) - [j11]Wenlong Liao, Ruijin Zhu, Takayuki Ishizaki, Yushuai Li, Yixiong Jia, Zhe Yang:
Can Gas Consumption Data Improve the Performance of Electricity Theft Detection? IEEE Trans. Ind. Informatics 20(6): 8453-8465 (2024) - [j10]Wenlong Liao, Birgitte Bak-Jensen, Jayakrishnan Radhakrishna Pillai, Xiaofang Xia, Guangchun Ruan, Zhe Yang:
Reducing Annotation Efforts in Electricity Theft Detection Through Optimal Sample Selection. IEEE Trans. Instrum. Meas. 73: 1-11 (2024) - [j9]Wenlong Liao, Yi Zhang, Di Cao, Takayuki Ishizaki, Zhe Yang, Dechang Yang:
Explainable Fault Diagnosis of Oil-Immersed Transformers: A Glass-Box Model. IEEE Trans. Instrum. Meas. 73: 1-4 (2024) - [j8]Wenlong Liao, Ruijin Zhu, Abdulrahman Takiddin, Muhammad Tariq, Guangchun Ruan, Xueyuan Cui, Zhe Yang:
Transfer Learning-Driven Electricity Theft Detection in Small-Sample Cases. IEEE Trans. Instrum. Meas. 73: 1-13 (2024) - [c9]Guangfeng Jiang, Jun Liu, Yuzhi Wu, Wenlong Liao, Tao He, Pai Peng:
MWSIS: Multimodal Weakly Supervised Instance Segmentation with 2D Box Annotations for Autonomous Driving. AAAI 2024: 2507-2515 - [c8]Zelin Zhao, Fenglei Fan, Wenlong Liao, Junchi Yan:
Grounding and Enhancing Grid-based Models for Neural Fields. CVPR 2024: 19425-19435 - [c7]Renqiu Xia, Dongyuan Zhang, Yixin Dong, Juanping Zhao, Wenlong Liao, Tao He, Junchi Yan:
Efficient Architecture Search for Real-Time Instance Segmentation. ICASSP 2024: 3310-3314 - [c6]Xue Yang, Yue Zhou, Wenlong Liao, Tao He, Junchi Yan:
Alpharotate: A Rotation Detection Benchmark Using Tensorflow. ICASSP 2024: 9481-9485 - [c5]Wenlong Liao, Sunyuan Qiang, Xianfei Li, Xiaolei Chen, Haoyu Wang, Yanyan Liang, Junchi Yan, Tao He, Pai Peng:
CalibRBEV: Multi-Camera Calibration via Reversed Bird's-eye-view Representations for Autonomous Driving. ACM Multimedia 2024: 9145-9154 - [i14]Han Lu, Xiaosong Jia, Yichen Xie, Wenlong Liao, Xiaokang Yang, Junchi Yan:
ActiveAD: Planning-Oriented Active Learning for End-to-End Autonomous Driving. CoRR abs/2403.02877 (2024) - [i13]Xiaosong Jia, Shaoshuai Shi, Zijun Chen, Li Jiang, Wenlong Liao, Tao He, Junchi Yan:
AMP: Autoregressive Motion Prediction Revisited with Next Token Prediction for Autonomous Driving. CoRR abs/2403.13331 (2024) - [i12]Zelin Zhao, Fenglei Fan, Wenlong Liao, Junchi Yan:
Grounding and Enhancing Grid-based Models for Neural Fields. CoRR abs/2403.20002 (2024) - [i11]Wenlong Liao, Fernando Porté-Agel, Jiannong Fang, Christian Rehtanz, Shouxiang Wang, Dechang Yang, Zhe Yang:
TimeGPT in Load Forecasting: A Large Time Series Model Perspective. CoRR abs/2404.04885 (2024) - [i10]Sunyuan Qiang, Xianfei Li, Yanyan Liang, Wenlong Liao, Tao He, Pai Peng:
Open-Vocabulary Object Detection via Neighboring Region Attention Alignment. CoRR abs/2405.08593 (2024) - [i9]Wenlong Liao, Zhe Yang, Mengshuo Jia, Christian Rehtanz, Jiannong Fang, Fernando Porté-Agel:
Zero-Shot Load Forecasting with Large Language Models. CoRR abs/2411.11350 (2024) - 2023
- [j7]Xue Yang, Junchi Yan, Wenlong Liao, Xiaokang Yang, Jin Tang, Tao He:
SCRDet++: Detecting Small, Cluttered and Rotated Objects via Instance-Level Feature Denoising and Rotation Loss Smoothing. IEEE Trans. Pattern Anal. Mach. Intell. 45(2): 2384-2399 (2023) - [j6]Zhe Yang, Qi Zhang, Wenlong Liao, Claus Leth Bak, Zhe Chen:
Harmonic Injection Based Distance Protection for Line With Converter-Interfaced Sources. IEEE Trans. Ind. Electron. 70(2): 1553-1564 (2023) - [j5]Zhe Yang, Wenlong Liao, Qi Zhang, Claus Leth Bak, Zhe Chen:
Fault Coordination Control for Converter-Interfaced Sources Compatible With Distance Protection During Asymmetrical Faults. IEEE Trans. Ind. Electron. 70(7): 6941-6952 (2023) - [i8]Wenlong Liao, Fernando Porté-Agel, Jiannong Fang, Birgitte Bak-Jensen, Guangchun Ruan, Zhe Yang:
Explainable Modeling for Wind Power Forecasting: A Glass-Box Approach with Exceptional Accuracy. CoRR abs/2310.18629 (2023) - [i7]Wenlong Liao, Benjamin Schäfer, Dalin Qin, Gonghao Zhang, Zhixian Wang, Zhe Yang:
An Explainable Framework for Machine learning-Based Reactive Power Optimization of Distribution Network. CoRR abs/2311.03863 (2023) - [i6]Guangfeng Jiang, Jun Liu, Yuzhi Wu, Wenlong Liao, Tao He, Pai Peng:
MWSIS: Multimodal Weakly Supervised Instance Segmentation with 2D Box Annotations for Autonomous Driving. CoRR abs/2312.06988 (2023) - [i5]Wenlong Liao, Fernando Porté-Agel, Jiannong Fang, Birgitte Bak-Jensen, Zhe Yang, Gonghao Zhang:
Improving the Accuracy and Interpretability of Neural Networks for Wind Power Forecasting. CoRR abs/2312.15741 (2023) - 2022
- [j4]Wenlong Liao, Zhe Yang, Xinxin Chen, Yaqi Li:
WindGMMN: Scenario Forecasting for Wind Power Using Generative Moment Matching Networks. IEEE Trans. Artif. Intell. 3(5): 843-850 (2022) - [j3]Zhe Yang, Wenlong Liao, Hongyi Wang, Claus Leth Bak, Zhe Chen:
Improved Euclidean Distance Based Pilot Protection for Lines With Renewable Energy Sources. IEEE Trans. Ind. Informatics 18(12): 8551-8562 (2022) - [c4]Xiaolei Chen, Wenlong Liao, Bin Liu, Junchi Yan, Tao He:
Opendenselane: A Dense Lidar-Based Dataset for HD Map Construction. ICME 2022: 1-6 - [c3]Wenlong Liao, Xiaolei Chen, Weipeng Zhang, Huanxi Liu, Junchi Yan, Yingxin Lou, Tao Xue, Shuqi Mei:
Trajectory Prediction from EGO View: A Coordinate Transform and Tail-Light Event Driven Approach. ICME 2022: 1-6 - [c2]Wenlong Liao, Zhexi Zhang, Xiaoxing Wang, Tao Yin, Huanxi Liu, Zhenyu Ren, Jian Yin, Shuzhi Feng:
Distilldarts: Network Distillation for Smoothing Gradient Distributions in Differentiable Architecture Search. ICME 2022: 1-6 - 2021
- [i4]Wenlong Liao, Birgitte Bak-Jensen, Jayakrishnan Radhakrishna Pillai, Yuelong Wang, Yusen Wang:
A Review of Graph Neural Networks and Their Applications in Power Systems. CoRR abs/2101.10025 (2021) - [i3]Wenlong Liao, Yusen Wang, Yuelong Wang, Kody M. Powell, Qi Liu:
Scenario Generation for Cooling, Heating, and Power Loads Using Generative Moment Matching Networks. CoRR abs/2102.03360 (2021) - [i2]Wenlong Liao, Birgitte Bak-Jensen, Jayakrishnan Radhakrishna Pillai, Zhe Yang, Kuangpu Liu:
Short-Term Power Prediction for Renewable Energy Using Hybrid Graph Convolutional Network and Long Short-Term Memory Approach. CoRR abs/2111.07958 (2021) - 2020
- [j2]Leijiao Ge, Wenlong Liao, Shouxiang Wang, Birgitte Bak-Jensen, Jayakrishnan Radhakrishna Pillai:
Modeling Daily Load Profiles of Distribution Network for Scenario Generation Using Flow-Based Generative Network. IEEE Access 8: 77587-77597 (2020) - [j1]Zhe Ren, Wenhan Luo, Junchi Yan, Wenlong Liao, Xiaokang Yang, Alan L. Yuille, Hongyuan Zha:
STFlow: Self-Taught Optical Flow Estimation Using Pseudo Labels. IEEE Trans. Image Process. 29: 9113-9124 (2020) - [i1]Xue Yang, Junchi Yan, Xiaokang Yang, Jin Tang, Wenlong Liao, Tao He:
SCRDet++: Detecting Small, Cluttered and Rotated Objects via Instance-Level Feature Denoising and Rotation Loss Smoothing. CoRR abs/2004.13316 (2020)
2010 – 2019
- 2013
- [c1]Wenlong Liao, Weidong Chen, Zhixuan Wei, Wenxi Zhang, Jingchuan Wang, Kang Li:
An Open-Source Development and Simulation Platform for Smart Wheelchairs. ICIRA (1) 2013: 295-306
Coauthor Index
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