Yuchen Liang

According to our database, Yuchen Liang authored at least 46 papers between 2010 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

mm3DSNet: multi-scale and multi-feedforward self-attention 3D segmentation network for CT scans of hepatobiliary ducts.

Yinghong Zhou, Yiying Xie, Nian Cai, Yuchen Liang, Ruifeng Gong, Ping Wang

Medical Biol. Eng. Comput., January, 2025

2024

Meta-Services in Industry 5.0: A New Paradigm of Intelligent Services in Metaverses.

Yudan Lyu, Lefei Li, Zheng Jing, Yuchen Liang, Ridong Wang, Fei-Yue Wang

IEEE Trans. Syst. Man Cybern. Syst., November, 2024

Quickest Change Detection With Post-Change Density Estimation.

Yuchen Liang, Venugopal V. Veeravalli

IEEE Trans. Inf. Theory, November, 2024

Enhancing heart failure diagnosis through multi-modal data integration and deep learning.

Yi Liu, Dengao Li, Jumin Zhao, Yuchen Liang

Multim. Tools Appl., May, 2024

IE-GAN: a data-driven crowd simulation method via generative adversarial networks.

Xuanqi Lin, Yuchen Liang, Yong Zhang, Yongli Hu, Baocai Yin

Multim. Tools Appl., May, 2024

Fog computing-enabled adaptive prognosis of cutting tool remaining life through multi-source data.

Yuchen Liang, Yuqi Wang, Chengyi Gu, Jie Tang, Xianjuan Pang

J. Comput. Des. Eng., 2024

Theory on Score-Mismatched Diffusion Models and Zero-Shot Conditional Samplers.

Yuchen Liang, Peizhong Ju, Yingbin Liang, Ness B. Shroff

CoRR, 2024

Learning Quantized Adaptive Conditions for Diffusion Models.

Yuchen Liang, Yuchuan Tian, Lei Yu, Huao Tang, Jie Hu, Xiangzhong Fang, Hanting Chen

CoRR, 2024

Non-asymptotic Convergence of Discrete-time Diffusion Models: New Approach and Improved Rate.

Yuchen Liang, Peizhong Ju, Yingbin Liang, Ness B. Shroff

CoRR, 2024

Learning from demonstration for autonomous generation of robotic trajectory: Status quo and forward-looking overview.

Weidong Li, Yuqi Wang, Yuchen Liang, Duc Truong Pham

Adv. Eng. Informatics, 2024

Computationally Efficient Imitation Learning via K-Timestep Adaptive Action Approximation.

Yuchen Liang, Weiming Wu, Cong Wang, Yuehu Liu

Proceedings of the International Joint Conference on Neural Networks, 2024

Closed-Loop Action Repetition for Computationally-Efficient Imitation Learning.

Yuchen Liang

Proceedings of the International Joint Conference on Neural Networks, 2024

SPIL: Fast Imitation Learning with Single-Person Game.

Yuchen Liang

Proceedings of the International Joint Conference on Neural Networks, 2024

Less is More: Physical-Enhanced Radar-Inertial Odometry.

Qiucan Huang, Yuchen Liang, Zhijian Qiao, Shaojie Shen, Huan Yin

Proceedings of the IEEE International Conference on Robotics and Automation, 2024

On Network Quickest Change Detection with Uncertain Models: An Experimental Study.

James Z. Hare, Yuchen Liang, Lance M. Kaplan, Venugopal V. Veeravalli

Proceedings of the 27th International Conference on Information Fusion, 2024

Learning Quantized Adaptive Conditions for Diffusion Models.

Yuchen Liang, Yuchan Tian, Lei Yu, Huaao Tang, Jie Hu, Xiangzhong Fang, Hanting Chen

Proceedings of the Computer Vision - ECCV 2024, 2024

Distributionally Robust Quickest Change Detection using Wasserstein Uncertainty Sets.

Liyan Xie, Yuchen Liang, Venugopal V. Veeravalli

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2024

2023

Quickest Change Detection With Non-Stationary Post-Change Observations.

Yuchen Liang, Alexander G. Tartakovsky, Venugopal V. Veeravalli

IEEE Trans. Inf. Theory, May, 2023

Accelerating Human Motion Imitation with Interactive Reinforcement Learning.

Zerun Cai, Yuehu Liu, Yuchen Liang

Proceedings of the IEEE International Conference on Real-time Computing and Robotics, 2023

Energy Transformer.

Benjamin Hoover, Yuchen Liang, Bao Pham, Rameswar Panda, Hendrik Strobelt, Duen Horng Chau, Mohammed J. Zaki, Dmitry Krotov

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Reuse Non-Terrain Policies for Learning Terrain-Adaptive Humanoid Locomotion Skills.

Hao Yu, Yuchen Liang, Yuehu Liu, Chi Zhang

Proceedings of the IEEE International Conference on Image Processing, 2023

Quickest Change Detection with Leave-one-out Density Estimation.

Yuchen Liang, Venugopal V. Veeravalli

Proceedings of the IEEE International Conference on Acoustics, 2023

2022

Non-Parametric Quickest Mean-Change Detection.

Yuchen Liang, Venugopal V. Veeravalli

IEEE Trans. Inf. Theory, 2022

Deep Listwise Triplet Hashing for Fine-Grained Image Retrieval.

Yuchen Liang, Yan Pan, Hanjiang Lai, Wei Liu, Jian Yin

IEEE Trans. Image Process., 2022

Modern Hopfield Networks for graph embedding.

Yuchen Liang, Dmitry Krotov, Mohammed J. Zaki

Frontiers Big Data, 2022

Blockchain-based traceability system for supply chain: potentials, gaps, applicability and adoption game.

Shiying Ni, Xiwen Bai, Yuchen Liang, Zhibo Pang, Lefei Li

Enterp. Inf. Syst., 2022

Associative Learning for Network Embedding.

Yuchen Liang, Dmitry Krotov, Mohammed J. Zaki

CoRR, 2022

Failure load prediction and optimisation for adhesively bonded joints enabled by deep learning and fruit fly optimisation.

Weidong Li, Yuchen Liang, Yiding Liu

Adv. Eng. Informatics, 2022

FitNibble: A Field Study to Evaluate the Utility and Usability of Automatic Diet Monitoring in Food Journaling Using an Eyeglasses-based Wearable.

Abdelkareem Bedri, Yuchen Liang, Sudershan Boovaraghavan, Geoff Kaufman, Mayank Goel

Proceedings of the IUI 2022: 27th International Conference on Intelligent User Interfaces, Helsinki, Finland, March 22, 2022

Band Weight Adaptive Classification Network for Hyperspectral Image Classification.

Yuchen Liang, Guihong Chen, Jiayi Guo, Wang Yao

Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2022

Quickest Detection of Composite and Non-Stationary Changes with Application to Pandemic Monitoring.

Yuchen Liang, Venugopal V. Veeravalli

Proceedings of the IEEE International Conference on Acoustics, 2022

2021

Keyphrase Extraction Using Neighborhood Knowledge Based on Word Embeddings.

Yuchen Liang, Mohammed J. Zaki

CoRR, 2021

Sparsity Constrained Convolutional Autoencoder Network for Hyperspectral Image Unmixing.

Zhengang Zhao, Hao Wang, Yuchen Liang, Tao Huang, Yi Xiao, Xianchuan Yu

Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2021

HSGACN: Hyperspectral Image Classification Algorithm Based on Graph Convolutional Network.

Yi Xiao, Siying Chen, Hao Wang, Zhengang Zhao, Tao Huang, Yuchen Liang, Jin Qin, Rong Ma, Zongyao Yin, Ruiqing Yan, Xianchuan Yu

Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2021

An Implementaion of the CNN-Based MVDR Beamforming For Speech Enhancement.

Yuchen Liang, Changchun Bao, Jing Zhou

Proceedings of the IEEE International Conference on Signal Processing, 2021

Can a Fruit Fly Learn Word Embeddings?

Yuchen Liang, Chaitanya K. Ryali, Benjamin Hoover, Leopold Grinberg, Saket Navlakha, Mohammed J. Zaki, Dmitry Krotov

Proceedings of the 9th International Conference on Learning Representations, 2021

Adaptive Frequency Hopping Policy for Fast Pose Estimation.

Yuchen Liang, Yuehu Liu

Proceedings of the 2021 IEEE International Conference on Image Processing, 2021

Non-Parametric Quickest Detection of a Change in the Mean of an Observation Sequence.

Yuchen Liang, Venugopal V. Veeravalli

Proceedings of the 55th Annual Conference on Information Sciences and Systems, 2021

2020

Robust multi-view clustering via inter-and-intra-view low rank fusion.

Yuchen Liang, Yan Pan, Hanjiang Lai, Jian Yin

Neurocomputing, 2020

Unbalanced Geologic Body Classification of Hyperspectral Data Based on Squeeze and Excitation Networks at Tianshan Area.

Yuchen Liang, Zhengang Zhao, Hao Wang, Ying Cao, Tao Huang, Yasmine Medjadba, Yuntao Wang, RunCheng Jiao, Siying Chen, Xianchuan Yu

Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2020

2019

Bidirectional LSTM: An Innovative Approach for Phishing URL Identification.

Yuchen Liang, Jiangdong Deng, Baojiang Cui

Proceedings of the Innovative Mobile and Internet Services in Ubiquitous Computing, 2019

2018

YouTube-VOS: A Large-Scale Video Object Segmentation Benchmark.

Ning Xu, Linjie Yang, Yuchen Fan, Dingcheng Yue, Yuchen Liang, Jianchao Yang, Thomas S. Huang

CoRR, 2018

YouTube-VOS: Sequence-to-Sequence Video Object Segmentation.

Ning Xu, Linjie Yang, Yuchen Fan, Jianchao Yang, Dingcheng Yue, Yuchen Liang, Brian L. Price, Scott Cohen, Thomas S. Huang

Proceedings of the Computer Vision - ECCV 2018, 2018

2015

Bilinear Embedding Label Propagation: Towards Scalable Prediction of Image Labels.

Yuchen Liang, Zhao Zhang, Weiming Jiang, Ming-Bo Zhao, Fanzhang Li

IEEE Signal Process. Lett., 2015

Semi-Supervised Image Classification by Nonnegative Sparse Neighborhood Propagation.

Zhao Zhang, Li Zhang, Ming-Bo Zhao, Weiming Jiang, Yuchen Liang, Fanzhang Li

Proceedings of the 5th ACM on International Conference on Multimedia Retrieval, 2015

2010

ParMiBench - An Open-Source Benchmark for Embedded Multiprocessor Systems.

Syed Muhammad Zeeshan Iqbal, Yuchen Liang, Håkan Grahn

IEEE Comput. Archit. Lett., 2010