Ye Liu

44 papers A* 9A 1B 3Journal 28Unranked 3
YearRankTypeTitle / Venue / Authors
2026 J jnl
A Survey on Video Temporal Grounding With Multimodal Large Language Model.
IEEE Trans. Pattern Anal. Mach. Intell.
Jianlong Wu, Wei Liu, Ye Liu, Meng Liu, Liqiang Nie, Zhouchen Lin, Chang Wen Chen
2026 J jnl
End-to-End Personalized Next Location Recommendation via Contrastive User Preference Modeling.
IEEE Trans. Comput. Soc. Syst.
Yan Luo, Ye Liu, Fulai Chung, Yu Liu, Takahiro Yabe
2025 J jnl
A Survey on Video Temporal Grounding with Multimodal Large Language Model.
CoRR
Jianlong Wu, Wei Liu, Ye Liu, Meng Liu, Liqiang Nie, Zhouchen Lin, Chang Wen Chen
2025 J jnl
Learning to Aggregate Multi-Scale Context for Instance Segmentation in Remote Sensing Images.
IEEE Trans. Neural Networks Learn. Syst.
Ye Liu, Huifang Li, Chao Hu, Shuang Luo, Yan Luo, Chang Wen Chen
2025 J jnl
UniPixel: Unified Object Referring and Segmentation for Pixel-Level Visual Reasoning.
CoRR
Ye Liu, Zongyang Ma, Junfu Pu, Zhongang Qi, Yang Wu, Ying Shan, Chang Wen Chen
2025 J jnl
VideoMind: A Chain-of-LoRA Agent for Long Video Reasoning.
CoRR
Ye Liu, Kevin Qinghong Lin, Chang Wen Chen, Mike Zheng Shou
2024 — conf
$\mathrm R^2$-Tuning: Efficient Image-to-Video Transfer Learning for Video Temporal Grounding.
ECCV (41)
Ye Liu, Jixuan He, Wanhua Li, Junsik Kim, Donglai Wei, Hanspeter Pfister, Chang Wen Chen
2024 J jnl
Affordance-Aware Object Insertion via Mask-Aware Dual Diffusion.
CoRR
Jixuan He, Wanhua Li, Ye Liu, Junsik Kim, Donglai Wei, Hanspeter Pfister
2024 A* conf
E.T. Bench: Towards Open-Ended Event-Level Video-Language Understanding.
NeurIPS
Ye Liu, Zongyang Ma, Zhongang Qi, Yang Wu, Ying Shan, Chang Wen Chen
2024 J jnl
E.T. Bench: Towards Open-Ended Event-Level Video-Language Understanding.
CoRR
Ye Liu, Zongyang Ma, Zhongang Qi, Yang Wu, Ying Shan, Chang Wen Chen
2024 J jnl
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CoRR
Ye Liu, Jixuan He, Wanhua Li, Junsik Kim, Donglai Wei, Hanspeter Pfister, Chang Wen Chen
2023 J jnl
End-to-End Personalized Next Location Recommendation via Contrastive User Preference Modeling.
CoRR
Yan Luo, Ye Liu, Fu-Lai Chung, Yu Liu, Chang Wen Chen
2023 A conf
Timestamps as Prompts for Geography-Aware Location Recommendation.
CIKM
Yan Luo, Haoyi Duan, Ye Liu, Fu-Lai Chung
2023 J jnl
Timestamps as Prompts for Geography-Aware Location Recommendation.
CoRR
Yan Luo, Haoyi Duan, Ye Liu, Fu-Lai Chung
2022 J jnl
Fine-Grained Urban Flow Inference.
IEEE Trans. Knowl. Data Eng.
Kun Ouyang, Yuxuan Liang, Ye Liu, Zekun Tong, Sijie Ruan, Yu Zheng, David S. Rosenblum
2022 J jnl
Predicting Urban Water Quality With Ubiquitous Data - A Data-Driven Approach.
IEEE Trans. Big Data
Ye Liu, Yuxuan Liang, Kun Ouyang, Shuming Liu, David S. Rosenblum, Yu Zheng
2022 A* conf
UMT: Unified Multi-modal Transformers for Joint Video Moment Retrieval and Highlight Detection.
CVPR
Ye Liu, Siyuan Li, Yang Wu, Chang Wen Chen, Ying Shan, Xiaohu Qie
2022 J jnl
UMT: Unified Multi-modal Transformers for Joint Video Moment Retrieval and Highlight Detection.
CoRR
Ye Liu, Siyuan Li, Yang Wu, Chang Wen Chen, Ying Shan, Xiaohu Qie
2021 J jnl
CATNet: Context AggregaTion Network for Instance Segmentation in Remote Sensing Images.
CoRR
Ye Liu, Huifang Li, Chao Hu, Shuang Luo, Huanfeng Shen, Chang Wen Chen
2020 A* conf
ConsNet: Learning Consistency Graph for Zero-Shot Human-Object Interaction Detection.
ACM Multimedia
Ye Liu, Junsong Yuan, Chang Wen Chen
2020 J jnl
ConsNet: Learning Consistency Graph for Zero-Shot Human-Object Interaction Detection.
CoRR
Ye Liu, Junsong Yuan, Chang Wen Chen
2020 J jnl
Fine-Grained Urban Flow Inference.
CoRR
Kun Ouyang, Yuxuan Liang, Ye Liu, Zekun Tong, Sijie Ruan, Yu Zheng, David S. Rosenblum
2020 — conf
Revisiting Convolutional Neural Networks for Citywide Crowd Flow Analytics.
ECML/PKDD (1)
Yuxuan Liang, Kun Ouyang, Yiwei Wang, Ye Liu, Junbo Zhang, Yu Zheng, David S. Rosenblum
2020 J jnl
Translation-Based Sequential Recommendation for Complex Users on Sparse Data.
IEEE Trans. Knowl. Data Eng.
Hui Li, Ye Liu, Nikos Mamoulis, David S. Rosenblum
2020 B conf
Unsupervised Learning of Disentangled Location Embeddings.
IJCNN
Kun Ouyang, Yuxuan Liang, Ye Liu, David S. Rosenblum, Wenzhuo Yang
2019 J jnl
An Intelligent Wellness Assessment System for the Elderly Healthcare.
J. Medical Imaging Health Informatics
Teng Li, Lingling Li, Yuan Wu, Li Liu, Ye Liu, Aamir Khan, Ammarah Hashmi
2019 A* conf
Learning Multi-Objective Rewards and User Utility Function in Contextual Bandits for Personalized Ranking.
IJCAI
Nirandika Wanigasekara, Yuxuan Liang, Siong Thye Goh, Ye Liu, Joseph Jay Williams, David S. Rosenblum
2019 J jnl
MMKG: Multi-Modal Knowledge Graphs.
CoRR
Ye Liu, Hui Li, Alberto García-Durán, Mathias Niepert, Daniel Oñoro-Rubio, David S. Rosenblum
2019 B conf
MMKG: Multi-modal Knowledge Graphs.
ESWC
Ye Liu, Hui Li, Alberto García-Durán, Mathias Niepert, Daniel Oñoro-Rubio, David S. Rosenblum
2019 J jnl
Nondestructive measurement of internal quality attributes of apple fruit by using NIR spectroscopy.
Multim. Tools Appl.
Yuan Wu, Lingling Li, Li Liu, Ye Liu
2019 J jnl
Tensor-driven low-rank discriminant analysis for image set classification.
Multim. Tools Appl.
Jing Zhang, Zhengnan Li, Peiguang Jing, Ye Liu, Yuting Su
2019 A* conf
UrbanFM: Inferring Fine-Grained Urban Flows.
KDD
Yuxuan Liang, Kun Ouyang, Lin Jing, Sijie Ruan, Ye Liu, Junbo Zhang, David S. Rosenblum, Yu Zheng
2019 J jnl
UrbanFM: Inferring Fine-Grained Urban Flows.
CoRR
Yuxuan Liang, Kun Ouyang, Lin Jing, Sijie Ruan, Ye Liu, Junbo Zhang, David S. Rosenblum, Yu Zheng
2017 — conf
Beyond Binary Labels: Political Ideology Prediction of Twitter Users.
ACL (1)
Daniel Preotiuc-Pietro, Ye Liu, Daniel Hopkins, Lyle H. Ungar
2017 J jnl
Towards unsupervised physical activity recognition using smartphone accelerometers.
Multim. Tools Appl.
Yonggang Lu, Ye Wei, Li Liu, Jun Zhong, Letian Sun, Ye Liu
2016 J jnl
Action2Activity: Recognizing Complex Activities from Sensor Data.
CoRR
Ye Liu, Liqiang Nie, Lei Han, Luming Zhang, David S. Rosenblum
2016 A* conf
Fortune Teller: Predicting Your Career Path.
AAAI
Ye Liu, Luming Zhang, Liqiang Nie, Yan Yan, David S. Rosenblum
2016 J jnl
From action to activity: Sensor-based activity recognition.
Neurocomputing
Ye Liu, Liqiang Nie, Li Liu, David S. Rosenblum
2016 J jnl
Predicting Urban Water Quality with Ubiquitous Data.
CoRR
Ye Liu, Yuxuan Liang, Shuming Liu, David S. Rosenblum, Yu Zheng
2016 A* conf
Recognizing Complex Activities by a Probabilistic Interval-Based Model.
AAAI
Li Liu, Li Cheng, Ye Liu, Yongpo Jia, David S. Rosenblum
2016 A* conf
Urban Water Quality Prediction Based on Multi-Task Multi-View Learning.
IJCAI
Ye Liu, Yu Zheng, Yuxuan Liang, Shuming Liu, David S. Rosenblum
2015 A* conf
Action2Activity: Recognizing Complex Activities from Sensor Data.
IJCAI
Ye Liu, Liqiang Nie, Lei Han, Luming Zhang, David S. Rosenblum
2013 J jnl
Tracking Generic Human Motion via Fusion of Low- and High-Dimensional Approaches.
IEEE Trans. Syst. Man Cybern. Syst.
Jinshi Cui, Ye Liu, Yuandong Xu, Huijing Zhao, Hongbin Zha
2012 B conf
Fusion of low-and high-dimensional approaches by trackers sampling for generic human motion tracking.
ICPR
Ye Liu, Jinshi Cui, Huijing Zhao, Hongbin Zha