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Towards Unstructured Unlabeled Optical Mocap: A Video Helps! Conference paper
Milef, Nicholas, Keyser, John, KONG SHU. Towards Unstructured Unlabeled Optical Mocap: A Video Helps![C]:Association for Computing Machinery, Inc, 2024, 201050.
Authors:  Milef, Nicholas;  Keyser, John;  KONG SHU
Adobe PDF | Favorite | TC[WOS]:0 TC[Scopus]:0 | Submit date：2024/06/20
Human Body Reconstruction  Motion Capture  Partial-body Reconstruction  
Diffusion Recommendation with Implicit Sequence Influence Conference paper
Niu, Yong, Xing, Xing, Jia, Zhichun, Liu, Ruidi, Xin, Mindong, Cui, Jianfu. Diffusion Recommendation with Implicit Sequence Influence[C], New York, NY, USA:Association for Computing Machinery, Inc, 2024, 1719-1725.
Authors:  Niu, Yong;  Xing, Xing;  Jia, Zhichun;  Liu, Ruidi;  Xin, Mindong; et al.
Favorite | TC[Scopus]:0 | Submit date：2024/06/05
Diffusion Model  Implicit Influence  Recommender System  
Robust Link Prediction over Noisy Hyper-Relational Knowledge Graphs via Active Learning Conference paper
Yu, Weijian, Yang, Jie, Yang, Dingqi. Robust Link Prediction over Noisy Hyper-Relational Knowledge Graphs via Active Learning[C], New York, NY, United States:Association for Computing Machinery, Inc, 2024, 2282-2293.
Authors:  Yu, Weijian;  Yang, Jie;  Yang, Dingqi
Favorite | TC[Scopus]:1 | Submit date：2024/06/05
Hyper-relation  Link Prediction  Noisy Knowledge Graph  
A Closer Look at Classifier in Adversarial Domain Generalization Conference paper
Wang, Ye, Chen, Junyang, Wang, Mengzhu, Li, Hao, Wang, Wei, Su, Houcheng, Lai, Zhihui, Wang, Wei, Chen, Zhenghan. A Closer Look at Classifier in Adversarial Domain Generalization[C]:Association for Computing Machinery, Inc, 2023, 280-289.
Authors:  Wang, Ye;  Chen, Junyang;  Wang, Mengzhu;  Li, Hao;  Wang, Wei; et al.
Favorite | TC[WOS]:0 TC[Scopus]:2 | Submit date：2024/01/10
Condition-invariant Features  Domain Generalization  Smoothing Optima  
HELIOS: Hyper-Relational Schema Modeling from Knowledge Graphs Conference paper
Lu, Yuhuan, Deng, Bangchao, Yu, Weijian, Yang, Dingqi. HELIOS: Hyper-Relational Schema Modeling from Knowledge Graphs[C]:Association for Computing Machinery, Inc, 2023.
Authors:  Lu, Yuhuan;  Deng, Bangchao;  Yu, Weijian;  Yang, Dingqi
Favorite | TC[WOS]:1 TC[Scopus]:4 | Submit date：2023/08/12
Hyper-relation  Schema  Knowledge Graph  Entity Type  
Zero-shot Micro-video Classification with Neural Variational Inference in Graph Prototype Network Conference paper
Chen, Junyang, Wang, Jialong, Dai, Zhijiang, Wu, Huisi, Wang, Mengzhu, Zhang, Qin, Wang, Huan. Zero-shot Micro-video Classification with Neural Variational Inference in Graph Prototype Network[C]:Association for Computing Machinery, Inc, 2023, 966-974.
Authors:  Chen, Junyang;  Wang, Jialong;  Dai, Zhijiang;  Wu, Huisi;  Wang, Mengzhu; et al.
Favorite | TC[WOS]:2 TC[Scopus]:3 | Submit date：2024/01/10
Neural Variational Inference  Transferable Representation Learning  Zero-shot Micro-video Classification  
AdaBrowse: Adaptive Video Browser for Efficient Continuous Sign Language Recognition Conference paper
Hu, Lianyu, Gao, Liqing, Liu, Zekang, Pun, Chi Man, Feng, Wei. AdaBrowse: Adaptive Video Browser for Efficient Continuous Sign Language Recognition[C]:Association for Computing Machinery, Inc, 2023, 709-718.
Authors:  Hu, Lianyu;  Gao, Liqing;  Liu, Zekang;  Pun, Chi Man;  Feng, Wei
Favorite | TC[WOS]:3 TC[Scopus]:6 | Submit date：2024/01/10
Continuous Sign Language Recognition  Efficient Inference  Feature Redundancy  
Weighted EF1 Allocations for Indivisible Chores Conference paper
Xiaowei Wu, Cong Zhang, Shengwei Zhou. Weighted EF1 Allocations for Indivisible Chores[C]:Association for Computing Machinery, Inc, 2023.
Authors:  Xiaowei Wu;  Cong Zhang;  Shengwei Zhou
Favorite | TC[Scopus]:10 | Submit date：2023/06/17
Allocation Of Chores  Fair Division  Weighted Envy-freeness  
Understanding and Optimizing Workloads for Unified Resource Management in Large Cloud Platforms Conference paper
Lu, Chengzhi, Xu, Huanle, Ye, Kejiang, Xu, Guoyao, Zhang, Liping, Yang, Guodong, Xu, Chengzhong. Understanding and Optimizing Workloads for Unified Resource Management in Large Cloud Platforms[C]:Association for Computing Machinery, Inc, 2023, 416-432.
Authors:  Lu, Chengzhi;  Xu, Huanle;  Ye, Kejiang;  Xu, Guoyao;  Zhang, Liping; et al.
Favorite | TC[WOS]:6 TC[Scopus]:10 | Submit date：2023/06/05
Cloud Computing  Resource Over-commitment  Unified Scheduling  
The Power of Prediction: Microservice Auto Scaling via Workload Learning Conference paper
Luo, Shutian, Xu, Huanle, Ye, Kejiang, Xu, Guoyao, Zhang, Liping, Yang, Guodong, Xu, Chengzhong. The Power of Prediction: Microservice Auto Scaling via Workload Learning[C]:Association for Computing Machinery, Inc, 2022, 355-369.
Authors:  Luo, Shutian;  Xu, Huanle;  Ye, Kejiang;  Xu, Guoyao;  Zhang, Liping; et al.
Favorite | TC[WOS]:26 TC[Scopus]:39 | Submit date：2023/01/31
Microservices  Proactive Auto-scaler  Workload Uncertainty Learning