Zhenguang Liu

According to our database, Zhenguang Liu authored at least 112 papers between 2014 and 2024.

Collaborative distances:

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

2024

Multi-threshold deep metric learning for facial expression recognition.

Wenwu Yang, Jinyi Yu, Tuo Chen, Zhenguang Liu, Xun Wang, Jianbing Shen

Pattern Recognit., 2024

Blockchain for finance: A survey.

Hanjie Wu, Qian Yao, Zhenguang Liu, Butian Huang, Yuan Zhuang, Huayun Tang, Erwu Liu

IET Blockchain, 2024

ANNProof: Building a verifiable and efficient outsourced approximate nearest neighbor search system on blockchain.

Lingling Lu, Zhenyu Wen, Ye Yuan, Qinming He, Jianhai Chen, Zhenguang Liu

Future Gener. Comput. Syst., 2024

Blockchain-based Federated Recommendation with Incentive Mechanism.

Jianhai Chen, Yanlin Wu, Dazhong Rong, Guoyao Yu, Lingqi Jiang, Zhenguang Liu, Peng Zhou, Rui Shen

CoRR, 2024

ETGuard: Malicious Encrypted Traffic Detection in Blockchain-based Power Grid Systems.

Peng Zhou, Yongdong Liu, Lixun Ma, Weiye Zhang, Haohan Tan, Zhenguang Liu, Butian Huang

CoRR, 2024

Joint-Motion Mutual Learning for Pose Estimation in Videos.

Sifan Wu, Haipeng Chen, Yifang Yin, Sihao Hu, Runyang Feng, Yingying Jiao, Ziqi Yang, Zhenguang Liu

CoRR, 2024

Do As I Do: Pose Guided Human Motion Copy.

Sifan Wu, Zhenguang Liu, Beibei Zhang, Roger Zimmermann, Zhongjie Ba, Xiaosong Zhang, Kui Ren

CoRR, 2024

Alleviating Structural Distribution Shift in Graph Anomaly Detection.

Yuan Gao, Xiang Wang, Xiangnan He, Zhenguang Liu, Huamin Feng, Yongdong Zhang

CoRR, 2024

Detecting Kernel Memory Bugs through Inconsistent Memory Management Intention Inferences.

Dinghao Liu, Zhipeng Lu, Shouling Ji, Kangjie Lu, Jianhai Chen, Zhenguang Liu, Dexin Liu, Renyi Cai, Qinming He

Proceedings of the 33rd USENIX Security Symposium, 2024

Joint-Motion Mutual Learning for Pose Estimation in Video.

Sifan Wu, Haipeng Chen, Yifang Yin, Sihao Hu, Runyang Feng, Yingying Jiao, Ziqi Yang, Zhenguang Liu

Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024

Conan's Bow Tie: A Streaming Voice Conversion for Real-Time VTuber Livestreaming.

Qianniu Chen, Zhehan Gu, Li Lu, Xiangyu Xu, Zhongjie Ba, Feng Lin, Zhenguang Liu, Kui Ren

Proceedings of the 29th International Conference on Intelligent User Interfaces, 2024

Rethinking Human Motion Prediction with Symplectic Integral.

Haipeng Chen, Kedi Lyu, Zhenguang Liu, Yifang Yin, Xun Yang, Yingda Lyu

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

Red Teaming Visual Language Models.

Mukai Li, Lei Li, Yuwei Yin, Masood Ahmed, Zhenguang Liu, Qi Liu

Proceedings of the Findings of the Association for Computational Linguistics, 2024

Let All Be Whitened: Multi-Teacher Distillation for Efficient Visual Retrieval.

Zhe Ma, Jianfeng Dong, Shouling Ji, Zhenguang Liu, Xuhong Zhang, Zonghui Wang, Sifeng He, Feng Qian, Xiaobo Zhang, Lei Yang

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

Exposing the Deception: Uncovering More Forgery Clues for Deepfake Detection.

Zhongjie Ba, Qingyu Liu, Zhenguang Liu, Shuang Wu, Feng Lin, Li Lu, Kui Ren

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

2D Human pose estimation: a survey.

Haoming Chen, Runyang Feng, Sifan Wu, Hao Xu, Fengcheng Zhou, Zhenguang Liu

Multim. Syst., October, 2023

Special issue on human-centric intelligent multimedia understanding.

Zhenguang Liu, Roger Zimmermann, Li Cheng

Multim. Syst., April, 2023

Binary Label Learning for Semi-Supervised Feature Selection.

Dan Shi, Lei Zhu, Jingjing Li, Zhiyong Cheng, Zhenguang Liu

IEEE Trans. Knowl. Data Eng., March, 2023

Combining Graph Neural Networks With Expert Knowledge for Smart Contract Vulnerability Detection.

Zhenguang Liu, Peng Qian, Xiaoyang Wang, Yuan Zhuang, Lin Qiu, Xun Wang

IEEE Trans. Knowl. Data Eng., 2023

Rethinking Smart Contract Fuzzing: Fuzzing With Invocation Ordering and Important Branch Revisiting.

Zhenguang Liu, Peng Qian, Jiaxu Yang, Lingfeng Liu, Xiaojun Xu, Qinming He, Xiaosong Zhang

IEEE Trans. Inf. Forensics Secur., 2023

Cross-Chain Virtual Payment Channels.

Xiaofeng Jia, Zhe Yu, Jun Shao, Rongxing Lu, Guiyi Wei, Zhenguang Liu

IEEE Trans. Inf. Forensics Secur., 2023

Fraud-Agents Detection in Online Microfinance: A Large-Scale Empirical Study.

Yiming Wu, Zhiyuan Xie, Shouling Ji, Zhenguang Liu, Xuhong Zhang, Changting Lin, Shuiguang Deng, Jun Zhou, Ting Wang, Raheem Beyah

IEEE Trans. Dependable Secur. Comput., 2023

iQuery: A Trustworthy and Scalable Blockchain Analytics Platform.

Lingling Lu, Zhenyu Wen, Ye Yuan, Binru Dai, Peng Qian, Changting Lin, Qinming He, Zhenguang Liu, Jianhai Chen, Rajiv Ranjan

IEEE Trans. Dependable Secur. Comput., 2023

Investigating Pose Representations and Motion Contexts Modeling for 3D Motion Prediction.

Zhenguang Liu, Shuang Wu, Shuyuan Jin, Shouling Ji, Qi Liu, Shijian Lu, Li Cheng

IEEE Trans. Pattern Anal. Mach. Intell., 2023

Empirical Review of Smart Contract and DeFi Security: Vulnerability Detection and Automated Repair.

Peng Qian, Rui Cao, Zhenguang Liu, Wenqing Li, Ming Li, Lun Zhang, Yufeng Xu, Jianhai Chen, Qinming He

CoRR, 2023

TTIDA: Controllable Generative Data Augmentation via Text-to-Text and Text-to-Image Models.

Yuwei Yin, Jean Kaddour, Xiang Zhang, Yixin Nie, Zhenguang Liu, Lingpeng Kong, Qi Liu

CoRR, 2023

Research on Multi-UAV Formation and Semi-Physical Simulation With Virtual Structure.

Jiandong Guo, Zhenguang Liu, Yanguo Song, Changfa Yang, Chenyu Liang

IEEE Access, 2023

Cross-Modality Mutual Learning for Enhancing Smart Contract Vulnerability Detection on Bytecode.

Peng Qian, Zhenguang Liu, Yifang Yin, Qinming He

Proceedings of the ACM Web Conference 2023, 2023

Addressing Heterophily in Graph Anomaly Detection: A Perspective of Graph Spectrum.

Yuan Gao, Xiang Wang, Xiangnan He, Zhenguang Liu, Huamin Feng, Yongdong Zhang

Proceedings of the ACM Web Conference 2023, 2023

Transferring Audio Deepfake Detection Capability across Languages.

Zhongjie Ba, Qing Wen, Peng Cheng, Yuwei Wang, Feng Lin, Li Lu, Zhenguang Liu

Proceedings of the ACM Web Conference 2023, 2023

Alleviating Structural Distribution Shift in Graph Anomaly Detection.

Yuan Gao, Xiang Wang, Xiangnan He, Zhenguang Liu, Huamin Feng, Yongdong Zhang

Proceedings of the Sixteenth ACM International Conference on Web Search and Data Mining, 2023

A Causal View for Item-level Effect of Recommendation on User Preference.

Wei Cai, Fuli Feng, Qifan Wang, Tian Yang, Zhenguang Liu, Congfu Xu

Proceedings of the Sixteenth ACM International Conference on Web Search and Data Mining, 2023

LargeST: A Benchmark Dataset for Large-Scale Traffic Forecasting.

Xu Liu, Yutong Xia, Yuxuan Liang, Junfeng Hu, Yiwei Wang, Lei Bai, Chao Huang, Zhenguang Liu, Bryan Hooi, Roger Zimmermann

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

Prototypical Cross-domain Knowledge Transfer for Cervical Dysplasia Visual Inspection.

Yichen Zhang, Yifang Yin, Ying Zhang, Zhenguang Liu, Zheng Wang, Roger Zimmermann

Proceedings of the 31st ACM International Conference on Multimedia, 2023

Locate and Verify: A Two-Stream Network for Improved Deepfake Detection.

Chao Shuai, Jieming Zhong, Shuang Wu, Feng Lin, Zhibo Wang, Zhongjie Ba, Zhenguang Liu, Lorenzo Cavallaro, Kui Ren

Proceedings of the 31st ACM International Conference on Multimedia, 2023

DFIL: Deepfake Incremental Learning by Exploiting Domain-invariant Forgery Clues.

Kun Pan, Yifang Yin, Yao Wei, Feng Lin, Zhongjie Ba, Zhenguang Liu, Zhibo Wang, Lorenzo Cavallaro, Kui Ren

Proceedings of the 31st ACM International Conference on Multimedia, 2023

Video Infringement Detection via Feature Disentanglement and Mutual Information Maximization.

Zhenguang Liu, Xinyang Yu, Ruili Wang, Shuai Ye, Zhe Ma, Jianfeng Dong, Sifeng He, Feng Qian, Xiaobo Zhang, Roger Zimmermann, Lei Yang

Proceedings of the 31st ACM International Conference on Multimedia, 2023

Category-Level Articulated Object 9D Pose Estimation via Reinforcement Learning.

Liu Liu, Jianming Du, Hao Wu, Xun Yang, Zhenguang Liu, Richang Hong, Meng Wang

Proceedings of the 31st ACM International Conference on Multimedia, 2023

Cross-Modal and Multi-Attribute Face Recognition: A Benchmark.

Feng Lin, Kaiqiang Fu, Hao Luo, Ziyue Zhan, Zhibo Wang, Zhenguang Liu, Lorenzo Cavallaro, Kui Ren

Proceedings of the 31st ACM International Conference on Multimedia, 2023

CoMeta: Enhancing Meta Embeddings with Collaborative Information in Cold-Start Problem of Recommendation.

Haonan Hu, Dazhong Rong, Jianhai Chen, Qinming He, Zhenguang Liu

Proceedings of the Knowledge Science, Engineering and Management, 2023

Action Recognition with Multi-stream Motion Modeling and Mutual Information Maximization.

Yuheng Yang, Haipeng Chen, Zhenguang Liu, Yingda Lyu, Beibei Zhang, Shuang Wu, Zhibo Wang, Kui Ren

Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

CrossMatch: Source-Free Domain Adaptive Semantic Segmentation via Cross-Modal Consistency Training.

Yifang Yin, Wenmiao Hu, Zhenguang Liu, Guanfeng Wang, Shili Xiang, Roger Zimmermann

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

2022

GLPose: Global-Local Representation Learning for Human Pose Estimation.

Yingying Jiao, Haipeng Chen, Runyang Feng, Haoming Chen, Sifan Wu, Yifang Yin, Zhenguang Liu

ACM Trans. Multim. Comput. Commun. Appl., 2022

GPS2Vec: Pre-Trained Semantic Embeddings for Worldwide GPS Coordinates.

Yifang Yin, Ying Zhang, Zhenguang Liu, Sheng Wang, Rajiv Ratn Shah, Roger Zimmermann

IEEE Trans. Multim., 2022

Spatio-Temporal Collaborative Module for Efficient Action Recognition.

Yanbin Hao, Shuo Wang, Yi Tan, Xiangnan He, Zhenguang Liu, Meng Wang

IEEE Trans. Image Process., 2022

Cofopose: Conditional 2D Pose Estimation with Transformers.

Evans Aidoo, Xun Wang, Zhenguang Liu, Edwin Kwadwo Tenagyei, Kwabena Owusu-Agyemang, Seth Larweh Kodjiku, Victor Ejianya, Esther Stacy E. B. Aggrey

Sensors, 2022

3D human motion prediction: A survey.

Kedi Lyu, Haipeng Chen, Zhenguang Liu, Beiqi Zhang, Ruili Wang

Neurocomputing, 2022

Who is gambling? Finding cryptocurrency gamblers using multi-modal retrieval methods.

Zhengjie Huang, Zhenguang Liu, Jianhai Chen, Qinming He, Shuang Wu, Lei Zhu, Meng Wang

Int. J. Multim. Inf. Retr., 2022

Exploring lottery ticket hypothesis in media recommender systems.

Yanfang Wang, Yongduo Sui, Xiang Wang, Zhenguang Liu, Xiangnan He

Int. J. Intell. Syst., 2022

Personalized motion kernel learning for human pose estimation.

Xue Wang, Runyang Feng, Haoming Chen, Roger Zimmermann, Zhenguang Liu, Hengchang Liu

Int. J. Intell. Syst., 2022

Smart Contract Vulnerability Detection Technique: A Survey.

Peng Qian, Zhenguang Liu, Qinming He, Butian Huang, Duanzheng Tian, Xun Wang

CoRR, 2022

DeepSensor: Deep Learning Testing Framework Based on Neuron Sensitivity.

Haibo Jin, Ruoxi Chen, Haibin Zheng, Jinyin Chen, Zhenguang Liu, Qi Xuan, Yue Yu, Yao Cheng

CoRR, 2022

Transfer Attacks Revisited: A Large-Scale Empirical Study in Real Computer Vision Settings.

Yuhao Mao, Chong Fu, Saizhuo Wang, Shouling Ji, Xuhong Zhang, Zhenguang Liu, Jun Zhou, Alex X. Liu, Raheem Beyah, Ting Wang

Proceedings of the 43rd IEEE Symposium on Security and Privacy, 2022

Copy Motion From One to Another: Fake Motion Video Generation.

Zhenguang Liu, Sifan Wu, Chejian Xu, Xiang Wang, Lei Zhu, Shuang Wu, Fuli Feng

Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

Invariant Feature Learning for Generalized Long-Tailed Classification.

Kaihua Tang, Mingyuan Tao, Jiaxin Qi, Zhenguang Liu, Hanwang Zhang

Proceedings of the Computer Vision, 2022

Temporal Feature Alignment and Mutual Information Maximization for Video-Based Human Pose Estimation.

Zhenguang Liu, Runyang Feng, Haoming Chen, Shuang Wu, Yixing Gao, Yunjun Gao, Xiang Wang

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021

A Truthful and Near-Optimal Mechanism for Colocation Emergency Demand Response.

Jianhai Chen, Deshi Ye, Zhenguang Liu, Shouling Ji, Qinming He, Yang Xiang

IEEE Trans. Mob. Comput., 2021

Hierarchical multi-view context modelling for 3D object classification and retrieval.

An-An Liu, Heyu Zhou, Weizhi Nie, Zhenguang Liu, Wu Liu, Hongtao Xie, Zhendong Mao, Xuanya Li, Dan Song

Inf. Sci., 2021

TEGDetector: A Phishing Detector that Knows Evolving Transaction Behaviors.

Jinyin Chen, Haiyang Xiong, Dunjie Zhang, Zhenguang Liu, Jiajing Wu

CoRR, 2021

Learning Intents behind Interactions with Knowledge Graph for Recommendation.

Xiang Wang, Tinglin Huang, Dingxian Wang, Yancheng Yuan, Zhenguang Liu, Xiangnan He, Tat-Seng Chua

Proceedings of the WWW '21: The Web Conference 2021, 2021

Learning Multi-context Aware Location Representations from Large-scale Geotagged Images.

Yifang Yin, Ying Zhang, Zhenguang Liu, Yuxuan Liang, Sheng Wang, Rajiv Ratn Shah, Roger Zimmermann

Proceedings of the MM '21: ACM Multimedia Conference, Virtual Event, China, October 20, 2021

Dual Learning Music Composition and Dance Choreography.

Shuang Wu, Zhenguang Liu, Shijian Lu, Li Cheng

Proceedings of the MM '21: ACM Multimedia Conference, Virtual Event, China, October 20, 2021

Motion Prediction via Joint Dependency Modeling in Phase Space.

Pengxiang Su, Zhenguang Liu, Shuang Wu, Lei Zhu, Yifang Yin, Xuanjing Shen

Proceedings of the MM '21: ACM Multimedia Conference, Virtual Event, China, October 20, 2021

Learning Human Motion Prediction via Stochastic Differential Equations.

Kedi Lyu, Zhenguang Liu, Shuang Wu, Haipeng Chen, Xuhong Zhang, Yuyu Yin

Proceedings of the MM '21: ACM Multimedia Conference, Virtual Event, China, October 20, 2021

Smart Contract Vulnerability Detection: From Pure Neural Network to Interpretable Graph Feature and Expert Pattern Fusion.

Zhenguang Liu, Peng Qian, Xiang Wang, Lei Zhu, Qinming He, Shouling Ji

Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

Motion Prediction using Trajectory Cues.

Zhenguang Liu, Pengxiang Su, Shuang Wu, Xuanjing Shen, Haipeng Chen, Yanbin Hao, Meng Wang

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Parallel Multi-Graph Convolution Network For Metro Passenger Volume Prediction.

Fuchen Gao, Zhanquan Wang, Zhenguang Liu

Proceedings of the 8th IEEE International Conference on Data Science and Advanced Analytics, 2021

Deep Dual Consecutive Network for Human Pose Estimation.

Zhenguang Liu, Haoming Chen, Runyang Feng, Shuang Wu, Shouling Ji, Bailin Yang, Xun Wang

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

Detecting Missed Security Operations Through Differential Checking of Object-based Similar Paths.

Dinghao Liu, Qiushi Wu, Shouling Ji, Kangjie Lu, Zhenguang Liu, Jianhai Chen, Qinming He

Proceedings of the CCS '21: 2021 ACM SIGSAC Conference on Computer and Communications Security, Virtual Event, Republic of Korea, November 15, 2021

Enhanced Audio Tagging via Multi- to Single-Modal Teacher-Student Mutual Learning.

Yifang Yin, Harsh Shrivastava, Ying Zhang, Zhenguang Liu, Rajiv Ratn Shah, Roger Zimmermann

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

Aggregated Multi-GANs for Controlled 3D Human Motion Prediction.

Zhenguang Liu, Kedi Lyu, Shuang Wu, Haipeng Chen, Yanbin Hao, Shouling Ji

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

A Spatial Regulated Patch-Wise Approach for Cervical Dysplasia Diagnosis.

Ying Zhang, Yifang Yin, Zhenguang Liu, Roger Zimmermann

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

Massive-Scale Genre Communities Learning Using a Noise-Tolerant Deep Architecture.

Luming Zhang, Xiaoming Ju, Yiyang Yao, Zhenguang Liu

IEEE Trans. Multim., 2020

Handwriting posture prediction based on unsupervised model.

Bailin Yang, Yulong Zhang, Zhenguang Liu, Xiaoheng Jiang, Mingliang Xu

Pattern Recognit., 2020

Fast and parameter-light rare behavior detection in maritime trajectories.

Fei Wang, Yifan Lei, Zhenguang Liu, Xun Wang, Shouling Ji, Anthony K. H. Tung

Inf. Process. Manag., 2020

Towards Automated Reentrancy Detection for Smart Contracts Based on Sequential Models.

Peng Qian, Zhenguang Liu, Qinming He, Roger Zimmermann, Xun Wang

IEEE Access, 2020

Zero-Shot Multi-View Indoor Localization via Graph Location Networks.

Meng-Jiun Chiou, Zhenguang Liu, Yifang Yin, An-An Liu, Roger Zimmermann

Proceedings of the MM '20: The 28th ACM International Conference on Multimedia, 2020

Smart Contract Vulnerability Detection using Graph Neural Network.

Yuan Zhuang, Zhenguang Liu, Peng Qian, Qi Liu, Xiang Wang, Qinming He

Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

Interactive Rare-Category-of-Interest Mining from Large Datasets.

Zhenguang Liu, Sihao Hu, Yifang Yin, Jianhai Chen, Kevin Chiew, Luming Zhang, Zetian Wu

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

Special issue on multimedia recommendation and multi-modal data analysis.

Xiangnan He, Zhenguang Liu, Hanwang Zhang, Chong-Wah Ngo, Svebor Karaman, Yongfeng Zhang

Multim. Syst., 2019

Multi-Level Fusion based Class-aware Attention Model for Weakly Labeled Audio Tagging.

Yifang Yin, Meng-Jiun Chiou, Zhenguang Liu, Harsh Shrivastava, Rajiv Ratn Shah, Roger Zimmermann

Proceedings of the 27th ACM International Conference on Multimedia, 2019

A Truthful FPTAS Mechanism for Emergency Demand Response in Colocation Data Centers.

Jianhai Chen, Deshi Ye, Shouling Ji, Qinming He, Yang Xiang, Zhenguang Liu

Proceedings of the 2019 IEEE Conference on Computer Communications, 2019

GPS2Vec: Towards Generating Worldwide GPS Embeddings.

Yifang Yin, Zhenguang Liu, Ying Zhang, Sheng Wang, Rajiv Ratn Shah, Roger Zimmermann

Proceedings of the 27th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems, 2019

Towards Natural and Accurate Future Motion Prediction of Humans and Animals.

Zhenguang Liu, Shuang Wu, Shuyuan Jin, Qi Liu, Shijian Lu, Roger Zimmermann, Li Cheng

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

Digital Resource Rights Confirmation and Infringement Tracking Based on Smart Contracts.

Peng Qian, Zhenguang Liu, Xun Wang, Jianhai Chen, Bei Wang, Roger Zimmermann

Proceedings of the 6th IEEE International Conference on Cloud Computing and Intelligence Systems, 2019

EduCoin: a Secure and Efficient Payment Solution for MOOC Environment.

Lingling Lu, Jianhai Chen, Zijun Tian, Qinming He, Butian Huang, Yang Xiang, Zhenguang Liu

Proceedings of the IEEE International Conference on Blockchain, 2019

2018

Toward Personalized Activity Level Prediction in Community Question Answering Websites.

Zhenguang Liu, Yingjie Xia, Qi Liu, Qinming He, Chao Zhang, Roger Zimmermann

ACM Trans. Multim. Comput. Commun. Appl., 2018

NAIS: Neural Attentive Item Similarity Model for Recommendation.

Xiangnan He, Zhankui He, Jingkuan Song, Zhenguang Liu, Yu-Gang Jiang, Tat-Seng Chua

IEEE Trans. Knowl. Data Eng., 2018

Camera-Assisted Video Saliency Prediction and Its Applications.

Xiao Sun, Yuxing Hu, Luming Zhang, Yanxiang Chen, Ping Li, Zhao Xie, Zhenguang Liu

IEEE Trans. Cybern., 2018

Perceptual multi-channel visual feature fusion for scene categorization.

Xiao Sun, Zhenguang Liu, Yuxing Hu, Luming Zhang, Roger Zimmermann

Inf. Sci., 2018

Rare category exploration with noisy labels.

Haiqin Weng, Kevin Chiew, Zhenguang Liu, Qinming He, Roger Zimmermann

Expert Syst. Appl., 2018

Rapido: A Layer2 Payment System for Decentralized Currencies.

Chang-Ting Lin, Ning Ma, Xun Wang, Zhenguang Liu, Jianhai Chen, Shouling Ji

CoRR, 2018

Multi-Modal Multi-Task Learning for Automatic Dietary Assessment.

Qi Liu, Yue Zhang, Zhenguang Liu, Ye Yuan, Li Cheng, Roger Zimmermann

Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017

Media Quality Assessment by Perceptual Gaze-Shift Patterns Discovery.

Yingjie Xia, Zhenguang Liu, Yan Yan, Yanxiang Chen, Luming Zhang, Roger Zimmermann

IEEE Trans. Multim., 2017

Fusion of Magnetic and Visual Sensors for Indoor Localization: Infrastructure-Free and More Effective.

Zhenguang Liu, Luming Zhang, Qi Liu, Yifang Yin, Li Cheng, Roger Zimmermann

IEEE Trans. Multim., 2017

Weakly Supervised Multimodal Kernel for Categorizing Aerial Photographs.

Yingjie Xia, Luming Zhang, Zhenguang Liu, Liqiang Nie, Xuelong Li

IEEE Trans. Image Process., 2017

Behavior pattern clustering in blockchain networks.

Butian Huang, Zhenguang Liu, Jianhai Chen, Anan Liu, Qi Liu, Qinming He

Multim. Tools Appl., 2017

False data separation for data security in smart grids.

Hao Huang, Qian Yan, Yao Zhao, Wei Lu, Zhenguang Liu, Zongpeng Li

Knowl. Inf. Syst., 2017

Pooling-Based Quantitative Approach to Evaluating Binarization Algorithms.

Maofu Liu, Ya Liu, Zhenguang Liu, Huijun Hu, Wei Fang

IEEE Multim., 2017

I Ate This: A Photo-based Food Journaling System with Expert Feedback.

Shubham Goyal, Qi Liu, Khairina Tajul-Arifin, Waqas Awan, Bimlesh Wadhwa, Zhenguang Liu

CoRR, 2017

FastShrinkage: Perceptually-aware Retargeting Toward Mobile Platforms.

Zhenguang Liu, Zepeng Wang, Luming Zhang, Rajiv Ratn Shah, Yingjie Xia, Yi Yang, Xuelong Li

Proceedings of the 2017 ACM on Multimedia Conference, 2017

Multiview and Multimodal Pervasive Indoor Localization.

Zhenguang Liu, Li Cheng, Anan Liu, Luming Zhang, Xiangnan He, Roger Zimmermann

Proceedings of the 2017 ACM on Multimedia Conference, 2017

Geographic information use in weakly-supervised deep learning for landmark recognition.

Yifang Yin, Zhenguang Liu, Roger Zimmermann

Proceedings of the 2017 IEEE International Conference on Multimedia and Expo, 2017

2016

A formalized framework for incorporating expert labels in crowdsourcing environment.

Qingyang Hu, Qinming He, Hao Huang, Kevin Chiew, Zhenguang Liu

J. Intell. Inf. Syst., 2016

Rare category exploration via wavelet analysis: Theory and applications.

Zhenguang Liu, Kevin Chiew, Luming Zhang, Beibei Zhang, Qinming He, Roger Zimmermann

Expert Syst. Appl., 2016

Laplacian Sparse Coding of Scenes for Video Classification.

Yifang Yin, Zhenguang Liu, Satyam, Roger Zimmermann

Proceedings of the IEEE International Symposium on Multimedia, 2016

2015

Rare Category Detection Forest.

Haiqin Weng, Zhenguang Liu, Kevin Chiew, Qinming He

Proceedings of the Knowledge Science, Engineering and Management, 2015

Rare Category Exploration on Linear Time Complexity.

Zhenguang Liu, Hao Huang, Qinming He, Kevin Chiew, Yunjun Gao

Proceedings of the Database Systems for Advanced Applications, 2015

2014

Toward seed-insensitive solutions to local community detection.

Lianhang Ma, Hao Huang, Qinming He, Kevin Chiew, Zhenguang Liu

J. Intell. Inf. Syst., 2014

Prior-free rare category detection: More effective and efficient solutions.

Zhenguang Liu, Kevin Chiew, Qinming He, Hao Huang, Butian Huang

Expert Syst. Appl., 2014

Rare Category Detection on O(dN) Time Complexity.

Zhenguang Liu, Hao Huang, Qinming He, Kevin Chiew, Lianhang Ma

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2014

Learning from Crowds under Experts' Supervision.

Qingyang Hu, Qinming He, Hao Huang, Kevin Chiew, Zhenguang Liu

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2014