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2020 – today
- 2024
[j43]Lingling Lu
, Zhenyu Wen, Ye Yuan, Qinming He, Jianhai Chen, Zhenguang Liu:
ANNProof: Building a verifiable and efficient outsourced approximate nearest neighbor search system on blockchain. Future Gener. Comput. Syst. 156: 206-220 (2024)- [j42]Hanjie Wu, Qian Yao, Zhenguang Liu, Butian Huang, Yuan Zhuang, Huayun Tang, Erwu Liu:
Blockchain for finance: A survey. IET Blockchain 4(2): 101-123 (2024) - [j41]Wenwu Yang, Jinyi Yu, Tuo Chen, Zhenguang Liu, Xun Wang, Jianbing Shen:
Multi-threshold deep metric learning for facial expression recognition. Pattern Recognit. 156: 110711 (2024) - [c57]Zhongjie Ba, Qingyu Liu, Zhenguang Liu, Shuang Wu, Feng Lin, Li Lu, Kui Ren:
Exposing the Deception: Uncovering More Forgery Clues for Deepfake Detection. AAAI 2024: 719-728 - [c56]Zhe Ma, Jianfeng Dong, Shouling Ji, Zhenguang Liu, Xuhong Zhang, Zonghui Wang, Sifeng He, Feng Qian, Xiaobo Zhang, Lei Yang:
Let All Be Whitened: Multi-Teacher Distillation for Efficient Visual Retrieval. AAAI 2024: 4126-4135 - [c55]Mukai Li, Lei Li, Yuwei Yin, Masood Ahmed, Zhenguang Liu, Qi Liu:
Red Teaming Visual Language Models. ACL (Findings) 2024: 3326-3342 - [c54]Haipeng Chen, Kedi Lyu, Zhenguang Liu, Yifang Yin, Xun Yang, Yingda Lyu:
Rethinking Human Motion Prediction with Symplectic Integral. CVPR 2024: 2134-2143 - [c53]Qianniu Chen, Zhehan Gu, Li Lu, Xiangyu Xu, Zhongjie Ba, Feng Lin, Zhenguang Liu, Kui Ren:
Conan's Bow Tie: A Streaming Voice Conversion for Real-Time VTuber Livestreaming. IUI 2024: 35-50 - [c52]Sifan Wu, Haipeng Chen, Yifang Yin, Sihao Hu, Runyang Feng, Yingying Jiao, Ziqi Yang, Zhenguang Liu:
Joint-Motion Mutual Learning for Pose Estimation in Video. ACM Multimedia 2024: 8962-8971 - [c51]Dinghao Liu, Zhipeng Lu, Shouling Ji, Kangjie Lu, Jianhai Chen, Zhenguang Liu, Dexin Liu, Renyi Cai, Qinming He:
Detecting Kernel Memory Bugs through Inconsistent Memory Management Intention Inferences. USENIX Security Symposium 2024 - [i46]Mukai Li, Lei Li, Yuwei Yin, Masood Ahmed, Zhenguang Liu, Qi Liu:
Red Teaming Visual Language Models. CoRR abs/2401.12915 (2024) - [i45]Yuan Gao, Xiang Wang, Xiangnan He, Zhenguang Liu, Huamin Feng, Yongdong Zhang:
Alleviating Structural Distribution Shift in Graph Anomaly Detection. CoRR abs/2401.14155 (2024) - [i44]Hanjie Wu, Qian Yao, Zhenguang Liu, Butian Huang, Yuan Zhuang, Huayun Tang, Erwu Liu:
Blockchain for Finance: A Survey. CoRR abs/2402.17219 (2024) - [i43]Zhongjie Ba, Qingyu Liu, Zhenguang Liu, Shuang Wu, Feng Lin, Li Lu, Kui Ren:
Exposing the Deception: Uncovering More Forgery Clues for Deepfake Detection. CoRR abs/2403.01786 (2024) - [i42]Wenwu Yang, Jinyi Yu, Tuo Chen, Zhenguang Liu, Xun Wang, Jianbing Shen:
Multi-threshold Deep Metric Learning for Facial Expression Recognition. CoRR abs/2406.16434 (2024) - [i41]Sifan Wu, Zhenguang Liu, Beibei Zhang, Roger Zimmermann, Zhongjie Ba, Xiaosong Zhang, Kui Ren:
Do As I Do: Pose Guided Human Motion Copy. CoRR abs/2406.16601 (2024) - [i40]Sifan Wu, Haipeng Chen, Yifang Yin, Sihao Hu, Runyang Feng, Yingying Jiao, Ziqi Yang, Zhenguang Liu:
Joint-Motion Mutual Learning for Pose Estimation in Videos. CoRR abs/2408.02285 (2024) - [i39]Peng Zhou, Yongdong Liu, Lixun Ma, Weiye Zhang, Haohan Tan, Zhenguang Liu, Butian Huang:
ETGuard: Malicious Encrypted Traffic Detection in Blockchain-based Power Grid Systems. CoRR abs/2408.10657 (2024) - [i38]Jianhai Chen, Yanlin Wu, Dazhong Rong, Guoyao Yu, Lingqi Jiang, Zhenguang Liu, Peng Zhou, Rui Shen:
Blockchain-based Federated Recommendation with Incentive Mechanism. CoRR abs/2409.01563 (2024) - 2023
- [j40]Jiandong Guo, Zhenguang Liu, Yanguo Song, Changfa Yang, Chenyu Liang:
Research on Multi-UAV Formation and Semi-Physical Simulation With Virtual Structure. IEEE Access 11: 126027-126039 (2023) - [j39]Zhenguang Liu, Roger Zimmermann, Li Cheng:
Special issue on human-centric intelligent multimedia understanding. Multim. Syst. 29(2): 457-458 (2023) - [j38]Haoming Chen, Runyang Feng, Sifan Wu, Hao Xu, Fengcheng Zhou, Zhenguang Liu:
2D Human pose estimation: a survey. Multim. Syst. 29(5): 3115-3138 (2023) - [j37]Zhenguang Liu, Shuang Wu, Shuyuan Jin, Shouling Ji, Qi Liu, Shijian Lu, Li Cheng:
Investigating Pose Representations and Motion Contexts Modeling for 3D Motion Prediction. IEEE Trans. Pattern Anal. Mach. Intell. 45(1): 681-697 (2023) - [j36]Yiming Wu, Zhiyuan Xie, Shouling Ji, Zhenguang Liu, Xuhong Zhang, Changting Lin, Shuiguang Deng, Jun Zhou, Ting Wang, Raheem Beyah:
Fraud-Agents Detection in Online Microfinance: A Large-Scale Empirical Study. IEEE Trans. Dependable Secur. Comput. 20(2): 1169-1185 (2023) - [j35]Lingling Lu, Zhenyu Wen, Ye Yuan, Binru Dai, Peng Qian, Changting Lin, Qinming He, Zhenguang Liu, Jianhai Chen, Rajiv Ranjan:
iQuery: A Trustworthy and Scalable Blockchain Analytics Platform. IEEE Trans. Dependable Secur. Comput. 20(6): 4578-4592 (2023) - [j34]Zhenguang Liu, Peng Qian, Jiaxu Yang, Lingfeng Liu, Xiaojun Xu, Qinming He, Xiaosong Zhang:
Rethinking Smart Contract Fuzzing: Fuzzing With Invocation Ordering and Important Branch Revisiting. IEEE Trans. Inf. Forensics Secur. 18: 1237-1251 (2023) - [j33]Xiaofeng Jia, Zhe Yu, Jun Shao, Rongxing Lu, Guiyi Wei, Zhenguang Liu:
Cross-Chain Virtual Payment Channels. IEEE Trans. Inf. Forensics Secur. 18: 3401-3413 (2023) - [j32]Zhenguang Liu, Peng Qian, Xiaoyang Wang, Yuan Zhuang, Lin Qiu, Xun Wang:
Combining Graph Neural Networks With Expert Knowledge for Smart Contract Vulnerability Detection. IEEE Trans. Knowl. Data Eng. 35(2): 1296-1310 (2023) - [j31]Dan Shi, Lei Zhu, Jingjing Li, Zhiyong Cheng, Zhenguang Liu:
Binary Label Learning for Semi-Supervised Feature Selection. IEEE Trans. Knowl. Data Eng. 35(3): 2299-2312 (2023) - [c50]Yifang Yin, Wenmiao Hu, Zhenguang Liu, Guanfeng Wang, Shili Xiang, Roger Zimmermann:
CrossMatch: Source-Free Domain Adaptive Semantic Segmentation via Cross-Modal Consistency Training. ICCV 2023: 21729-21739 - [c49]Yuheng Yang, Haipeng Chen, Zhenguang Liu, Yingda Lyu, Beibei Zhang, Shuang Wu, Zhibo Wang, Kui Ren:
Action Recognition with Multi-stream Motion Modeling and Mutual Information Maximization. IJCAI 2023: 1658-1666 - [c48]Haonan Hu, Dazhong Rong, Jianhai Chen, Qinming He, Zhenguang Liu:
CoMeta: Enhancing Meta Embeddings with Collaborative Information in Cold-Start Problem of Recommendation. KSEM (3) 2023: 213-225 - [c47]Zhenguang Liu, Xinyang Yu, Ruili Wang, Shuai Ye, Zhe Ma, Jianfeng Dong, Sifeng He, Feng Qian, Xiaobo Zhang, Roger Zimmermann, Lei Yang:
Video Infringement Detection via Feature Disentanglement and Mutual Information Maximization. ACM Multimedia 2023: 144-152 - [c46]Feng Lin, Kaiqiang Fu, Hao Luo, Ziyue Zhan, Zhibo Wang, Zhenguang Liu, Lorenzo Cavallaro, Kui Ren:
Cross-Modal and Multi-Attribute Face Recognition: A Benchmark. ACM Multimedia 2023: 271-279 - [c45]Liu Liu, Jianming Du, Hao Wu, Xun Yang, Zhenguang Liu, Richang Hong, Meng Wang:
Category-Level Articulated Object 9D Pose Estimation via Reinforcement Learning. ACM Multimedia 2023: 728-736 - [c44]Yichen Zhang, Yifang Yin, Ying Zhang, Zhenguang Liu, Zheng Wang, Roger Zimmermann:
Prototypical Cross-domain Knowledge Transfer for Cervical Dysplasia Visual Inspection. ACM Multimedia 2023: 1504-1514 - [c43]Chao Shuai, Jieming Zhong, Shuang Wu, Feng Lin, Zhibo Wang, Zhongjie Ba, Zhenguang Liu, Lorenzo Cavallaro, Kui Ren:
Locate and Verify: A Two-Stream Network for Improved Deepfake Detection. ACM Multimedia 2023: 7131-7142 - [c42]Kun Pan, Yifang Yin, Yao Wei, Feng Lin, Zhongjie Ba, Zhenguang Liu, Zhibo Wang, Lorenzo Cavallaro, Kui Ren:
DFIL: Deepfake Incremental Learning by Exploiting Domain-invariant Forgery Clues. ACM Multimedia 2023: 8035-8046 - [c41]Xu Liu, Yutong Xia, Yuxuan Liang, Junfeng Hu, Yiwei Wang, Lei Bai, Chao Huang, Zhenguang Liu, Bryan Hooi, Roger Zimmermann:
LargeST: A Benchmark Dataset for Large-Scale Traffic Forecasting. NeurIPS 2023 - [c40]Wei Cai, Fuli Feng, Qifan Wang, Tian Yang, Zhenguang Liu, Congfu Xu:
A Causal View for Item-level Effect of Recommendation on User Preference. WSDM 2023: 240-248 - [c39]Yuan Gao, Xiang Wang, Xiangnan He, Zhenguang Liu, Huamin Feng, Yongdong Zhang:
Alleviating Structural Distribution Shift in Graph Anomaly Detection. WSDM 2023: 357-365 - [c38]Yuan Gao, Xiang Wang, Xiangnan He, Zhenguang Liu, Huamin Feng, Yongdong Zhang:
Addressing Heterophily in Graph Anomaly Detection: A Perspective of Graph Spectrum. WWW 2023: 1528-1538 - [c37]Zhongjie Ba, Qing Wen, Peng Cheng, Yuwei Wang, Feng Lin, Li Lu, Zhenguang Liu:
Transferring Audio Deepfake Detection Capability across Languages. WWW 2023: 2033-2044 - [c36]Peng Qian, Zhenguang Liu, Yifang Yin, Qinming He:
Cross-Modality Mutual Learning for Enhancing Smart Contract Vulnerability Detection on Bytecode. WWW 2023: 2220-2229 - [i37]Zhenguang Liu, Peng Qian, Jiaxu Yang, Lingfeng Liu, Xiaojun Xu, Qinming He, Xiaosong Zhang:
Rethinking Smart Contract Fuzzing: Fuzzing With Invocation Ordering and Important Branch Revisiting. CoRR abs/2301.03943 (2023) - [i36]Haonan Hu, Dazhong Rong, Jianhai Chen, Qinming He, Zhenguang Liu:
CoMeta: Enhancing Meta Embeddings with Collaborative Information in Cold-start Problem of Recommendation. CoRR abs/2303.07607 (2023) - [i35]Yuwei Yin, Jean Kaddour, Xiang Zhang, Yixin Nie, Zhenguang Liu, Lingpeng Kong, Qi Liu:
TTIDA: Controllable Generative Data Augmentation via Text-to-Text and Text-to-Image Models. CoRR abs/2304.08821 (2023) - [i34]Yuheng Yang, Haipeng Chen, Zhenguang Liu, Yingda Lyu, Beibei Zhang, Shuang Wu, Zhibo Wang, Kui Ren:
Action Recognition with Multi-stream Motion Modeling and Mutual Information Maximization. CoRR abs/2306.07576 (2023) - [i33]Xu Liu, Yutong Xia, Yuxuan Liang, Junfeng Hu, Yiwei Wang, Lei Bai, Chao Huang, Zhenguang Liu, Bryan Hooi, Roger Zimmermann:
LargeST: A Benchmark Dataset for Large-Scale Traffic Forecasting. CoRR abs/2306.08259 (2023) - [i32]Yichen Zhang, Yifang Yin, Ying Zhang, Zhenguang Liu, Zheng Wang, Roger Zimmermann:
Prototypical Cross-domain Knowledge Transfer for Cervical Dysplasia Visual Inspection. CoRR abs/2308.09983 (2023) - [i31]Peng Qian, Rui Cao, Zhenguang Liu, Wenqing Li, Ming Li, Lun Zhang, Yufeng Xu, Jianhai Chen, Qinming He:
Empirical Review of Smart Contract and DeFi Security: Vulnerability Detection and Automated Repair. CoRR abs/2309.02391 (2023) - [i30]Zhenguang Liu, Xinyang Yu, Ruili Wang, Shuai Ye, Zhe Ma, Jianfeng Dong, Sifeng He, Feng Qian, Xiaobo Zhang, Roger Zimmermann, Lei Yang:
Video Infringement Detection via Feature Disentanglement and Mutual Information Maximization. CoRR abs/2309.06877 (2023) - [i29]Kun Pan, Yifang Yin, Yao Wei, Feng Lin, Zhongjie Ba, Zhenguang Liu, Zhibo Wang, Lorenzo Cavallaro, Kui Ren:
DFIL: Deepfake Incremental Learning by Exploiting Domain-invariant Forgery Clues. CoRR abs/2309.09526 (2023) - [i28]Chao Shuai, Jieming Zhong, Shuang Wu, Feng Lin, Zhibo Wang, Zhongjie Ba, Zhenguang Liu, Lorenzo Cavallaro, Kui Ren:
Locate and Verify: A Two-Stream Network for Improved Deepfake Detection. CoRR abs/2309.11131 (2023) - [i27]Zhe Ma, Jianfeng Dong, Shouling Ji, Zhenguang Liu, Xuhong Zhang, Zonghui Wang, Sifeng He, Feng Qian, Xiaobo Zhang, Lei Yang:
Let All be Whitened: Multi-teacher Distillation for Efficient Visual Retrieval. CoRR abs/2312.09716 (2023) - 2022
- [j30]Yanfang Wang, Yongduo Sui, Xiang Wang, Zhenguang Liu, Xiangnan He:
Exploring lottery ticket hypothesis in media recommender systems. Int. J. Intell. Syst. 37(5): 3006-3024 (2022) - [j29]Xue Wang, Runyang Feng, Haoming Chen, Roger Zimmermann, Zhenguang Liu, Hengchang Liu:
Personalized motion kernel learning for human pose estimation. Int. J. Intell. Syst. 37(9): 5859-5879 (2022) - [j28]Zhengjie Huang, Zhenguang Liu, Jianhai Chen, Qinming He, Shuang Wu, Lei Zhu, Meng Wang:
Who is gambling? Finding cryptocurrency gamblers using multi-modal retrieval methods. Int. J. Multim. Inf. Retr. 11(4): 539-551 (2022) - [j27]Kedi Lyu, Haipeng Chen, Zhenguang Liu, Beiqi Zhang, Ruili Wang:
3D human motion prediction: A survey. Neurocomputing 489: 345-365 (2022) - [j26]Evans Aidoo, Xun Wang, Zhenguang Liu, Edwin Kwadwo Tenagyei, Kwabena Owusu-Agyemang, Seth Larweh Kodjiku, Victor Ejianya, Esther Stacy E. B. Aggrey:
Cofopose: Conditional 2D Pose Estimation with Transformers. Sensors 22(18): 6821 (2022) - [j25]Yanbin Hao, Shuo Wang, Yi Tan, Xiangnan He, Zhenguang Liu, Meng Wang:
Spatio-Temporal Collaborative Module for Efficient Action Recognition. IEEE Trans. Image Process. 31: 7279-7291 (2022) - [j24]Yifang Yin, Ying Zhang, Zhenguang Liu, Sheng Wang, Rajiv Ratn Shah, Roger Zimmermann:
GPS2Vec: Pre-Trained Semantic Embeddings for Worldwide GPS Coordinates. IEEE Trans. Multim. 24: 890-903 (2022) - [j23]Yingying Jiao, Haipeng Chen, Runyang Feng, Haoming Chen, Sifan Wu, Yifang Yin, Zhenguang Liu:
GLPose: Global-Local Representation Learning for Human Pose Estimation. ACM Trans. Multim. Comput. Commun. Appl. 18(2s): 128:1-128:16 (2022) - [c35]Zhenguang Liu, Runyang Feng, Haoming Chen, Shuang Wu, Yixing Gao, Yunjun Gao, Xiang Wang:
Temporal Feature Alignment and Mutual Information Maximization for Video-Based Human Pose Estimation. CVPR 2022: 10996-11006 - [c34]Kaihua Tang, Mingyuan Tao, Jiaxin Qi, Zhenguang Liu, Hanwang Zhang:
Invariant Feature Learning for Generalized Long-Tailed Classification. ECCV (24) 2022: 709-726 - [c33]Zhenguang Liu, Sifan Wu, Chejian Xu, Xiang Wang, Lei Zhu, Shuang Wu, Fuli Feng:
Copy Motion From One to Another: Fake Motion Video Generation. IJCAI 2022: 1223-1231 - [c32]Yuhao Mao, Chong Fu, Saizhuo Wang, Shouling Ji, Xuhong Zhang, Zhenguang Liu, Jun Zhou, Alex X. Liu, Raheem Beyah, Ting Wang:
Transfer Attacks Revisited: A Large-Scale Empirical Study in Real Computer Vision Settings. SP 2022: 1423-1439 - [i26]Pengxiang Su, Zhenguang Liu, Shuang Wu, Lei Zhu, Yifang Yin, Xuanjing Shen:
Motion Prediction via Joint Dependency Modeling in Phase Space. CoRR abs/2201.02365 (2022) - [i25]Shuang Wu, Zhenguang Liu, Shijian Lu, Li Cheng:
Dual Learning Music Composition and Dance Choreography. CoRR abs/2201.11999 (2022) - [i24]Haibo Jin, Ruoxi Chen, Haibin Zheng, Jinyin Chen, Zhenguang Liu, Qi Xuan, Yue Yu, Yao Cheng:
DeepSensor: Deep Learning Testing Framework Based on Neuron Sensitivity. CoRR abs/2202.07464 (2022) - [i23]Kedi Lyu, Haipeng Chen, Zhenguang Liu, Beiqi Zhang, Ruili Wang:
3D Human Motion Prediction: A Survey. CoRR abs/2203.01593 (2022) - [i22]Zhenguang Liu, Runyang Feng, Haoming Chen, Shuang Wu, Yixing Gao, Yunjun Gao, Xiang Wang:
Temporal Feature Alignment and Mutual Information Maximization for Video-Based Human Pose Estimation. CoRR abs/2203.15227 (2022) - [i21]Yuhao Mao, Chong Fu, Saizhuo Wang, Shouling Ji, Xuhong Zhang, Zhenguang Liu, Jun Zhou, Alex X. Liu, Raheem Beyah, Ting Wang:
Transfer Attacks Revisited: A Large-Scale Empirical Study in Real Computer Vision Settings. CoRR abs/2204.04063 (2022) - [i20]Haoming Chen, Runyang Feng, Sifan Wu, Hao Xu, Fengcheng Zhou, Zhenguang Liu:
2D Human Pose Estimation: A Survey. CoRR abs/2204.07370 (2022) - [i19]Zhenguang Liu, Sifan Wu, Chejian Xu, Xiang Wang, Lei Zhu, Shuang Wu, Fuli Feng:
Copy Motion From One to Another: Fake Motion Video Generation. CoRR abs/2205.01373 (2022) - [i18]Kaihua Tang, Mingyuan Tao, Jiaxin Qi, Zhenguang Liu, Hanwang Zhang:
Invariant Feature Learning for Generalized Long-Tailed Classification. CoRR abs/2207.09504 (2022) - [i17]Peng Qian, Zhenguang Liu, Qinming He, Butian Huang, Duanzheng Tian, Xun Wang:
Smart Contract Vulnerability Detection Technique: A Survey. CoRR abs/2209.05872 (2022) - [i16]Zhengjie Huang, Zhenguang Liu, Jianhai Chen, Qinming He, Shuang Wu, Lei Zhu, Meng Wang:
Who is Gambling? Finding Cryptocurrency Gamblers Using Multi-modal Retrieval Methods. CoRR abs/2211.14779 (2022) - 2021
- [j22]An-An Liu, Heyu Zhou, Weizhi Nie, Zhenguang Liu, Wu Liu, Hongtao Xie, Zhendong Mao, Xuanya Li, Dan Song:
Hierarchical multi-view context modelling for 3D object classification and retrieval. Inf. Sci. 547: 984-995 (2021) - [j21]Jianhai Chen, Deshi Ye, Zhenguang Liu, Shouling Ji, Qinming He, Yang Xiang:
A Truthful and Near-Optimal Mechanism for Colocation Emergency Demand Response. IEEE Trans. Mob. Comput. 20(9): 2728-2744 (2021) - [c31]Ying Zhang, Yifang Yin, Zhenguang Liu, Roger Zimmermann:
A Spatial Regulated Patch-Wise Approach for Cervical Dysplasia Diagnosis. AAAI 2021: 733-740 - [c30]Zhenguang Liu, Kedi Lyu, Shuang Wu, Haipeng Chen, Yanbin Hao, Shouling Ji:
Aggregated Multi-GANs for Controlled 3D Human Motion Prediction. AAAI 2021: 2225-2232 - [c29]Yifang Yin, Harsh Shrivastava, Ying Zhang, Zhenguang Liu, Rajiv Ratn Shah, Roger Zimmermann:
Enhanced Audio Tagging via Multi- to Single-Modal Teacher-Student Mutual Learning. AAAI 2021: 10709-10717 - [c28]Dinghao Liu, Qiushi Wu, Shouling Ji, Kangjie Lu, Zhenguang Liu, Jianhai Chen, Qinming He:
Detecting Missed Security Operations Through Differential Checking of Object-based Similar Paths. CCS 2021: 1627-1644 - [c27]Zhenguang Liu, Haoming Chen, Runyang Feng, Shuang Wu, Shouling Ji, Bailin Yang, Xun Wang:
Deep Dual Consecutive Network for Human Pose Estimation. CVPR 2021: 525-534 - [c26]Fuchen Gao, Zhanquan Wang, Zhenguang Liu:
Parallel Multi-Graph Convolution Network For Metro Passenger Volume Prediction. DSAA 2021: 1-10 - [c25]Zhenguang Liu, Pengxiang Su, Shuang Wu, Xuanjing Shen, Haipeng Chen, Yanbin Hao, Meng Wang:
Motion Prediction using Trajectory Cues. ICCV 2021: 13279-13288 - [c24]Zhenguang Liu, Peng Qian, Xiang Wang, Lei Zhu, Qinming He, Shouling Ji:
Smart Contract Vulnerability Detection: From Pure Neural Network to Interpretable Graph Feature and Expert Pattern Fusion. IJCAI 2021: 2751-2759 - [c23]Pengxiang Su, Zhenguang Liu, Shuang Wu, Lei Zhu, Yifang Yin, Xuanjing Shen:
Motion Prediction via Joint Dependency Modeling in Phase Space. ACM Multimedia 2021: 713-721 - [c22]Yifang Yin, Ying Zhang, Zhenguang Liu, Yuxuan Liang, Sheng Wang, Rajiv Ratn Shah, Roger Zimmermann:
Learning Multi-context Aware Location Representations from Large-scale Geotagged Images. ACM Multimedia 2021: 899-907 - [c21]Shuang Wu, Zhenguang Liu, Shijian Lu, Li Cheng:
Dual Learning Music Composition and Dance Choreography. ACM Multimedia 2021: 3746-3754 - [c20]Kedi Lyu, Zhenguang Liu, Shuang Wu, Haipeng Chen, Xuhong Zhang, Yuyu Yin:
Learning Human Motion Prediction via Stochastic Differential Equations. ACM Multimedia 2021: 4976-4984 - [c19]Xiang Wang, Tinglin Huang, Dingxian Wang, Yancheng Yuan, Zhenguang Liu, Xiangnan He, Tat-Seng Chua:
Learning Intents behind Interactions with Knowledge Graph for Recommendation. WWW 2021: 878-887 - [i15]Xiang Wang, Tinglin Huang, Dingxian Wang, Yancheng Yuan, Zhenguang Liu, Xiangnan He, Tat-Seng Chua:
Learning Intents behind Interactions with Knowledge Graph for Recommendation. CoRR abs/2102.07057 (2021) - [i14]Zhenguang Liu, Haoming Chen, Runyang Feng, Shuang Wu, Shouling Ji, Bailin Yang, Xun Wang:
Deep Dual Consecutive Network for Human Pose Estimation. CoRR abs/2103.07254 (2021) - [i13]Zhenguang Liu, Kedi Lyu, Shuang Wu, Haipeng Chen, Yanbin Hao, Shouling Ji:
Aggregated Multi-GANs for Controlled 3D Human Motion Prediction. CoRR abs/2103.09755 (2021) - [i12]Zhenguang Liu, Peng Qian, Xiang Wang, Lei Zhu, Qinming He, Shouling Ji:
Smart Contract Vulnerability Detection: From Pure Neural Network to Interpretable Graph Feature and Expert Pattern Fusion. CoRR abs/2106.09282 (2021) - [i11]Zhenguang Liu, Peng Qian, Xiaoyang Wang, Yuan Zhuang, Lin Qiu, Xun Wang:
Combining Graph Neural Networks with Expert Knowledge for Smart Contract Vulnerability Detection. CoRR abs/2107.11598 (2021) - [i10]Yanfang Wang, Yongduo Sui, Xiang Wang, Zhenguang Liu, Xiangnan He:
Exploring Lottery Ticket Hypothesis in Media Recommender Systems. CoRR abs/2108.00944 (2021) - [i9]Fuchen Gao, Zhanquan Wang, Zhenguang Liu:
Parallel Multi-Graph Convolution Network For Metro Passenger Volume Prediction. CoRR abs/2109.00924 (2021) - [i8]Jinyin Chen, Haiyang Xiong, Dunjie Zhang, Zhenguang Liu, Jiajing Wu:
TEGDetector: A Phishing Detector that Knows Evolving Transaction Behaviors. CoRR abs/2111.15446 (2021) - [i7]Kedi Lyu, Zhenguang Liu, Shuang Wu, Haipeng Chen, Xuhong Zhang, Yuyu Yin:
Learning Human Motion Prediction via Stochastic Differential Equations. CoRR abs/2112.11124 (2021) - [i6]Zhenguang Liu, Shuang Wu, Shuyuan Jin, Shouling Ji, Qi Liu, Shijian Lu, Li Cheng:
Investigating Pose Representations and Motion Contexts Modeling for 3D Motion Prediction. CoRR abs/2112.15012 (2021) - 2020
- [j20]Peng Qian, Zhenguang Liu, Qinming He, Roger Zimmermann, Xun Wang:
Towards Automated Reentrancy Detection for Smart Contracts Based on Sequential Models. IEEE Access 8: 19685-19695 (2020) - [j19]Fei Wang, Yifan Lei, Zhenguang Liu, Xun Wang, Shouling Ji, Anthony K. H. Tung:
Fast and parameter-light rare behavior detection in maritime trajectories. Inf. Process. Manag. 57(5): 102268 (2020) - [j18]Bailin Yang, Yulong Zhang, Zhenguang Liu, Xiaoheng Jiang, Mingliang Xu:
Handwriting posture prediction based on unsupervised model. Pattern Recognit. 100: 107093 (2020) - [j17]Luming Zhang, Xiaoming Ju, Yiyang Yao, Zhenguang Liu:
Massive-Scale Genre Communities Learning Using a Noise-Tolerant Deep Architecture. IEEE Trans. Multim. 22(9): 2467-2478 (2020) - [c18]Zhenguang Liu, Sihao Hu, Yifang Yin, Jianhai Chen, Kevin Chiew, Luming Zhang, Zetian Wu:
Interactive Rare-Category-of-Interest Mining from Large Datasets. AAAI 2020: 4965-4972 - [c17]Yuan Zhuang, Zhenguang Liu, Peng Qian, Qi Liu, Xiang Wang, Qinming He:
Smart Contract Vulnerability Detection using Graph Neural Network. IJCAI 2020: 3283-3290 - [c16]Meng-Jiun Chiou, Zhenguang Liu, Yifang Yin, An-An Liu, Roger Zimmermann:
Zero-Shot Multi-View Indoor Localization via Graph Location Networks. ACM Multimedia 2020: 3431-3440 - [i5]Meng-Jiun Chiou, Zhenguang Liu, Yifang Yin, Anan Liu, Roger Zimmermann:
Zero-Shot Multi-View Indoor Localization via Graph Location Networks. CoRR abs/2008.02492 (2020)
2010 – 2019
- 2019
- [j16]Xiangnan He, Zhenguang Liu, Hanwang Zhang, Chong-Wah Ngo, Svebor Karaman, Yongfeng Zhang:
Special issue on multimedia recommendation and multi-modal data analysis. Multim. Syst. 25(6): 591-592 (2019) - [c15]Lingling Lu, Jianhai Chen, Zijun Tian, Qinming He, Butian Huang, Yang Xiang, Zhenguang Liu:
EduCoin: a Secure and Efficient Payment Solution for MOOC Environment. Blockchain 2019: 490-495 - [c14]Peng Qian, Zhenguang Liu, Xun Wang, Jianhai Chen, Bei Wang, Roger Zimmermann:
Digital Resource Rights Confirmation and Infringement Tracking Based on Smart Contracts. CCIS 2019: 62-67 - [c13]Zhenguang Liu, Shuang Wu, Shuyuan Jin, Qi Liu, Shijian Lu, Roger Zimmermann, Li Cheng:
Towards Natural and Accurate Future Motion Prediction of Humans and Animals. CVPR 2019: 10004-10012 - [c12]Yifang Yin, Zhenguang Liu, Ying Zhang, Sheng Wang, Rajiv Ratn Shah, Roger Zimmermann:
GPS2Vec: Towards Generating Worldwide GPS Embeddings. SIGSPATIAL/GIS 2019: 416-419 - [c11]Jianhai Chen, Deshi Ye, Shouling Ji, Qinming He, Yang Xiang, Zhenguang Liu:
A Truthful FPTAS Mechanism for Emergency Demand Response in Colocation Data Centers. INFOCOM 2019: 2557-2565 - [c10]Yifang Yin, Meng-Jiun Chiou, Zhenguang Liu, Harsh Shrivastava, Rajiv Ratn Shah, Roger Zimmermann:
Multi-Level Fusion based Class-aware Attention Model for Weakly Labeled Audio Tagging. ACM Multimedia 2019: 1304-1312 - [i4]Jianhai Chen, Deshi Ye, Shouling Ji, Qinming He, Yang Xiang, Zhenguang Liu:
A Truthful FPTAS Mechanism for Emergency Demand Response in Colocation Data Centers. CoRR abs/1901.02978 (2019) - 2018
- [j15]Haiqin Weng, Kevin Chiew, Zhenguang Liu, Qinming He, Roger Zimmermann:
Rare category exploration with noisy labels. Expert Syst. Appl. 114: 503-515 (2018) - [j14]Xiao Sun, Zhenguang Liu, Yuxing Hu, Luming Zhang, Roger Zimmermann:
Perceptual multi-channel visual feature fusion for scene categorization. Inf. Sci. 429: 37-48 (2018) - [j13]Xiao Sun, Yuxing Hu, Luming Zhang, Yanxiang Chen, Ping Li, Zhao Xie, Zhenguang Liu:
Camera-Assisted Video Saliency Prediction and Its Applications. IEEE Trans. Cybern. 48(9): 2520-2530 (2018) - [j12]Xiangnan He, Zhankui He, Jingkuan Song, Zhenguang Liu, Yu-Gang Jiang, Tat-Seng Chua:
NAIS: Neural Attentive Item Similarity Model for Recommendation. IEEE Trans. Knowl. Data Eng. 30(12): 2354-2366 (2018) - [j11]Zhenguang Liu, Yingjie Xia, Qi Liu, Qinming He, Chao Zhang, Roger Zimmermann:
Toward Personalized Activity Level Prediction in Community Question Answering Websites. ACM Trans. Multim. Comput. Commun. Appl. 14(2s): 41:1-41:15 (2018) - [c9]Qi Liu, Yue Zhang, Zhenguang Liu, Ye Yuan, Li Cheng, Roger Zimmermann:
Multi-Modal Multi-Task Learning for Automatic Dietary Assessment. AAAI 2018: 2347-2354 - [i3]Chang-Ting Lin, Ning Ma, Xun Wang, Zhenguang Liu, Jianhai Chen, Shouling Ji:
Rapido: A Layer2 Payment System for Decentralized Currencies. CoRR abs/1808.01561 (2018) - [i2]Xiangnan He, Zhankui He, Jingkuan Song, Zhenguang Liu, Yu-Gang Jiang, Tat-Seng Chua:
NAIS: Neural Attentive Item Similarity Model for Recommendation. CoRR abs/1809.07053 (2018) - 2017
- [j10]Maofu Liu, Ya Liu, Zhenguang Liu, Huijun Hu, Wei Fang:
Pooling-Based Quantitative Approach to Evaluating Binarization Algorithms. IEEE Multim. 24(1): 86-92 (2017) - [j9]Hao Huang, Qian Yan, Yao Zhao, Wei Lu, Zhenguang Liu, Zongpeng Li:
False data separation for data security in smart grids. Knowl. Inf. Syst. 52(3): 815-834 (2017) - [j8]Butian Huang, Zhenguang Liu, Jianhai Chen, Anan Liu, Qi Liu, Qinming He:
Behavior pattern clustering in blockchain networks. Multim. Tools Appl. 76(19): 20099-20110 (2017) - [j7]Yingjie Xia, Luming Zhang, Zhenguang Liu, Liqiang Nie, Xuelong Li:
Weakly Supervised Multimodal Kernel for Categorizing Aerial Photographs. IEEE Trans. Image Process. 26(8): 3748-3758 (2017) - [j6]Zhenguang Liu, Luming Zhang, Qi Liu, Yifang Yin, Li Cheng, Roger Zimmermann:
Fusion of Magnetic and Visual Sensors for Indoor Localization: Infrastructure-Free and More Effective. IEEE Trans. Multim. 19(4): 874-888 (2017) - [j5]Yingjie Xia, Zhenguang Liu, Yan Yan, Yanxiang Chen, Luming Zhang, Roger Zimmermann:
Media Quality Assessment by Perceptual Gaze-Shift Patterns Discovery. IEEE Trans. Multim. 19(8): 1811-1820 (2017) - [c8]Yifang Yin, Zhenguang Liu, Roger Zimmermann:
Geographic information use in weakly-supervised deep learning for landmark recognition. ICME 2017: 1015-1020 - [c7]Zhenguang Liu, Li Cheng, Anan Liu, Luming Zhang, Xiangnan He, Roger Zimmermann:
Multiview and Multimodal Pervasive Indoor Localization. ACM Multimedia 2017: 109-117 - [c6]Zhenguang Liu, Zepeng Wang, Luming Zhang, Rajiv Ratn Shah, Yingjie Xia, Yi Yang, Xuelong Li:
FastShrinkage: Perceptually-aware Retargeting Toward Mobile Platforms. ACM Multimedia 2017: 501-509 - [i1]Shubham Goyal, Qi Liu, Khairina Tajul-Arifin, Waqas Awan, Bimlesh Wadhwa, Zhenguang Liu:
I Ate This: A Photo-based Food Journaling System with Expert Feedback. CoRR abs/1702.05957 (2017) - 2016
- [j4]Zhenguang Liu, Kevin Chiew, Luming Zhang, Beibei Zhang, Qinming He, Roger Zimmermann:
Rare category exploration via wavelet analysis: Theory and applications. Expert Syst. Appl. 63: 173-186 (2016) - [j3]Qingyang Hu, Qinming He, Hao Huang, Kevin Chiew, Zhenguang Liu:
A formalized framework for incorporating expert labels in crowdsourcing environment. J. Intell. Inf. Syst. 47(3): 403-425 (2016) - [c5]Yifang Yin, Zhenguang Liu, Satyam, Roger Zimmermann:
Laplacian Sparse Coding of Scenes for Video Classification. ISM 2016: 499-506 - 2015
- [c4]Zhenguang Liu, Hao Huang, Qinming He, Kevin Chiew, Yunjun Gao:
Rare Category Exploration on Linear Time Complexity. DASFAA (2) 2015: 37-54 - [c3]Haiqin Weng, Zhenguang Liu, Kevin Chiew, Qinming He:
Rare Category Detection Forest. KSEM 2015: 612-618 - 2014
- [j2]Zhenguang Liu, Kevin Chiew, Qinming He, Hao Huang, Butian Huang:
Prior-free rare category detection: More effective and efficient solutions. Expert Syst. Appl. 41(17): 7691-7706 (2014) - [j1]Lianhang Ma, Hao Huang, Qinming He, Kevin Chiew, Zhenguang Liu:
Toward seed-insensitive solutions to local community detection. J. Intell. Inf. Syst. 43(1): 183-203 (2014) - [c2]Qingyang Hu, Qinming He, Hao Huang, Kevin Chiew, Zhenguang Liu:
Learning from Crowds under Experts' Supervision. PAKDD (1) 2014: 200-211 - [c1]Zhenguang Liu, Hao Huang, Qinming He, Kevin Chiew, Lianhang Ma:
Rare Category Detection on O(dN) Time Complexity. PAKDD (2) 2014: 498-509
Coauthor Index
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