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2020 – today
- 2024
[j146]Chengjian Qiu
, Yuqing Song, Yi Liu, Yan Zhu, Kai Han, Victor S. Sheng, Zhe Liu:
MMMViT: Multiscale multimodal vision transformer for brain tumor segmentation with missing modalities. Biomed. Signal Process. Control. 90: 105827 (2024)- [j145]Kai Han, Victor S. Sheng, Yuqing Song, Yi Liu, Chengjian Qiu, Siqi Ma, Zhe Liu:
Deep semi-supervised learning for medical image segmentation: A review. Expert Syst. Appl. 245: 123052 (2024) - [j144]Runze Ma, Shangnan Yin, Xia Feng, Huijuan Zhu, Victor S. Sheng:
A lightweight deep learning-based android malware detection framework. Expert Syst. Appl. 255: 124633 (2024) - [j143]Wei Fang, Yuxiang Fu, Victor S. Sheng:
FPS-U2Net: Combining U2Net and multi-level aggregation architecture for fire point segmentation in remote sensing images. Comput. Geosci. 189: 105628 (2024) - [j142]Fan Xu, Lei Zeng, Qi Huang, Keyu Yan, Mingwen Wang, Victor S. Sheng:
Hierarchical graph attention networks for multi-modal rumor detection on social media. Neurocomputing 569: 127112 (2024) - [j141]Shan Lei, Huanhuan Yuan, Pengpeng Zhao, Jianfeng Qu, Junhua Fang, Guanfeng Liu, Victor S. Sheng:
Improving graph collaborative filtering with multimodal-side-information-enriched contrastive learning. J. Intell. Inf. Syst. 62(1): 143-161 (2024) - [j140]Huan Rong, Shengjie Sun, Tinghuai Ma, Di Jin, Victor S. Sheng:
KGCDP-T: Interpreting knowledge graphs into text by content ordering and dynamic planning with three-level reconstruction. Knowl. Based Syst. 284: 111297 (2024) - [j139]Wei Fang, Yuxiang Fu, Victor S. Sheng:
Dual Backbone Interaction Network for Burned Area Segmentation in Optical Remote Sensing Images. IEEE Geosci. Remote. Sens. Lett. 21: 1-5 (2024) - [j138]Zhong Chen, Victor S. Sheng, Andrea Edwards, Kun Zhang:
Cost-sensitive sparse group online learning for imbalanced data streams. Mach. Learn. 113(7): 4407-4444 (2024) - [j137]Rasoul Kiani, Wei Jin, Victor S. Sheng:
Survey on extreme learning machines for outlier detection. Mach. Learn. 113(8): 5495-5531 (2024) - [j136]Zijian Ying, Jing Zhang, Qianmu Li, Ming Wu, Victor S. Sheng:
A Little Truth Injection But a Big Reward: Label Aggregation With Graph Neural Networks. IEEE Trans. Pattern Anal. Mach. Intell. 46(5): 3169-3182 (2024) - [j135]Lianyong Qi, Victor S. Sheng, Xiaolong Xu, Jinjun Chen:
Special Issue on "Ensuring security for artificial intelligence applications in mobile edge computing software systems". Softw. Pract. Exp. 54(9): 1593-1595 (2024) - [j134]Yuxiang Fu, Wei Fang, Victor S. Sheng:
Burned Area Segmentation in Optical Remote Sensing Images Driven by U-Shaped Multistage Masked Autoencoder. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 17: 10770-10780 (2024) - [j133]Li Jia, Tinghuai Ma, Huan Rong, Victor S. Sheng, Xuejian Huang, Xintong Xie:
A Rearrangement and Restore-Based Mixer Model for Target-Oriented Multimodal Sentiment Classification. IEEE Trans. Artif. Intell. 5(6): 3109-3119 (2024) - [j132]Huan Rong, Zhongfeng Chen, Zhenyu Lu, Fan Xu, Victor S. Sheng:
Multization: Multi-Modal Summarization Enhanced by Multi-Contextually Relevant and Irrelevant Attention Alignment. ACM Trans. Asian Low Resour. Lang. Inf. Process. 23(5): 69 (2024) - [j131]Yunfei He, Yiwen Zhang, Fei Yang, Dengcheng Yan, Victor S. Sheng:
Label-Dependent Graph Neural Network. IEEE Trans. Comput. Soc. Syst. 11(2): 2990-3003 (2024) - [j130]Chuanjiu Wu, Huanhuan Yuan, Pengpeng Zhao, Jianfeng Qu, Victor S. Sheng, Guanfeng Liu:
Dual-Supervised Contrastive Learning for Bundle Recommendation. IEEE Trans. Comput. Soc. Syst. 11(3): 3955-3965 (2024) - [j129]Wei Fang, Liang Shen, Victor S. Sheng:
VRNet: A Vivid Radar Network for Precipitation Nowcasting. IEEE Trans. Geosci. Remote. Sens. 62: 1-11 (2024) - [j128]Qiang Zhou, Liangmin Wang, Huijuan Zhu, Tong Lu, Victor S. Sheng:
WF-Transformer: Learning Temporal Features for Accurate Anonymous Traffic Identification by Using Transformer Networks. IEEE Trans. Inf. Forensics Secur. 19: 30-43 (2024) - [j127]Li Ni, Hefei Xu, Yiwen Zhang, Wenjian Luo, Yingying Huang, Victor S. Sheng:
Local Overlapping Spatial-aware Community Detection. ACM Trans. Knowl. Discov. Data 18(3): 59:1-59:21 (2024) - [j126]Huan Rong, Xin Yu, Tinghuai Ma, Victor S. Sheng, Yang Zhou, Mznah Al-Rodhaan:
Three-stage Transferable and Generative Crowdsourced Comment Integration Framework Based on Zero- and Few-shot Learning with Domain Distribution Alignment. ACM Trans. Knowl. Discov. Data 18(3): 68:1-68:43 (2024) - [j125]Chao Long, Huanhuan Yuan, Junhua Fang, Xuefeng Xian, Guanfeng Liu, Victor S. Sheng, Pengpeng Zhao:
Learning Global and Multi-granularity Local Representation with MLP for Sequential Recommendation. ACM Trans. Knowl. Discov. Data 18(4): 87:1-87:15 (2024) - [j124]Huan Rong, Minfeng Qian, Tinghuai Ma, Di Jin, Victor S. Sheng:
CoBjeason: Reasoning Covered Object in Image by Multi-Agent Collaboration Based on Informed Knowledge Graph. ACM Trans. Knowl. Discov. Data 18(5): 116:1-116:56 (2024) - [j123]Xinru Liu, Yongjing Hao, Lei Zhao, Guanfeng Liu, Victor S. Sheng, Pengpeng Zhao:
LMACL: Improving Graph Collaborative Filtering with Learnable Model Augmentation Contrastive Learning. ACM Trans. Knowl. Discov. Data 18(7): 177 (2024) - [j122]Huan Rong, Gongchi Chen, Tinghuai Ma, Victor S. Sheng, Elisa Bertino:
FuFaction: Fuzzy Factual Inconsistency Correction on Crowdsourced Documents With Hybrid-Mask at the Hidden-State Level. IEEE Trans. Knowl. Data Eng. 36(1): 167-183 (2024) - [j121]Li Ni, Junnan Ge, Yiwen Zhang, Wenjian Luo, Victor S. Sheng:
Semi-Supervised Local Community Detection. IEEE Trans. Knowl. Data Eng. 36(2): 823-839 (2024) - [j120]Li Ni, Qiuyu Li, Yiwen Zhang, Wenjian Luo, Victor S. Sheng:
LSADEN: Local Spatial-Aware Community Detection in Evolving Geo-Social Networks. IEEE Trans. Knowl. Data Eng. 36(7): 3265-3280 (2024) - [j119]Jing Zhang, Ming Wu, Cangqi Zhou, Victor S. Sheng:
Active Crowdsourcing for Multilabel Annotation. IEEE Trans. Neural Networks Learn. Syst. 35(3): 3549-3559 (2024) - [c151]Zhenyu Xu, Victor S. Sheng:
Detecting AI-Generated Code Assignments Using Perplexity of Large Language Models. AAAI 2024: 23155-23162 - [c150]Liyuan Gao, Matthew Zhang, Victor S. Sheng:
Enhancing Transcription Factor Prediction through Multi-Task Learning (Student Abstract). AAAI 2024: 23500-23502 - [c149]Linpeng Sun, Victor S. Sheng:
DDViT: Double-Level Fusion Domain Adapter Vision Transformer (Student Abstract). AAAI 2024: 23661-23663 - [c148]Ruoyu Xu, Zhenyu Xu, Gaoxiang Li, Victor S. Sheng:
Bridging the Gap between Source Code and Requirements Using GPT (Student Abstract). AAAI 2024: 23686-23687 - [c147]Zhenyu Xu, Ruoyu Xu, Victor S. Sheng:
ChatGPT-Generated Code Assignment Detection Using Perplexity of Large Language Models (Student Abstract). AAAI 2024: 23688-23689 - [c146]Huixin Zhan, Kun Zhang, Zhong Chen, Victor S. Sheng:
Defense Against Adversarial Attacks for Neural Representations of Text. HICSS 2024: 7592-7601 - [c145]Liyuan Gao, Huixin Zhan, Victor S. Sheng:
Exploring Task-Specific Dimensions in Word Embeddings Through Automatic Rule Learning. ICANN (4) 2024: 199-214 - [c144]Zhenyu Xu, Victor S. Sheng:
Towards Minimal Edits in Automated Program Repair: A Hybrid Framework Integrating Graph Neural Networks and Large Language Models. ICANN (5) 2024: 402-416 - [c143]Yongjing Hao, Pengpeng Zhao, Jianfeng Qu, Lei Zhao, Guanfeng Liu, Fuzhen Zhuang, Victor S. Sheng, Xiaofang Zhou:
Meta-optimized Structural and Semantic Contrastive Learning for Graph Collaborative Filtering. ICDE 2024: 679-691 - [c142]Yongjing Hao, Pengpeng Zhao, Junhua Fang, Jianfeng Qu, Guanfeng Liu, Fuzhen Zhuang, Victor S. Sheng, Xiaofang Zhou:
Meta-Optimized Joint Generative and Contrastive Learning for Sequential Recommendation. ICDE 2024: 705-718 - [c141]Zhenyu Xu, Ruoyu Xu, Victor S. Sheng:
Beyond Binary Classification: Customizable Text Watermark on Large Language Models. IJCNN 2024: 1-8 - [c140]Huixin Zhan, Liyuan Gao, Victor S. Sheng:
Privacy-Preserving Unsupervised Spherical Text Embeddings. IJCNN 2024: 1-8 - [c139]Zhong Chen, Yi He, Di Wu, Huixin Zhan, Victor S. Sheng, Kun Zhang:
Robust Sparse Online Learning for Data Streams with Streaming Features. SDM 2024: 181-189 - [c138]Xiuyuan Qin, Huanhuan Yuan, Pengpeng Zhao, Guanfeng Liu, Fuzhen Zhuang, Victor S. Sheng:
Intent Contrastive Learning with Cross Subsequences for Sequential Recommendation. WSDM 2024: 548-556 - [d1]Huijuan Zhu, Mengzhen Xia, Liangmin Wang, Zhicheng Xu, Victor S. Sheng:
Android malware detection dataset. IEEE DataPort, 2024
- 2023
- [j118]Cheng-Jian Qiu, Zhe Liu, Yuqing Song, Jing Yin, Kai Han, Yan Zhu, Yi Liu, Victor S. Sheng:
RTUNet: Residual transformer UNet specifically for pancreas segmentation. Biomed. Signal Process. Control. 79(Part): 104173 (2023) - [j117]Xuesong Yan, Hao Zuo, Chengyu Hu, Wenyin Gong, Victor S. Sheng:
Load Optimization Scheduling of Chip Mounter Based on Hybrid Adaptive Optimization Algorithm. Complex Syst. Model. Simul. 3(1): 1-11 (2023) - [j116]Jieren Cheng, Xiulai Li, Xinbing Xu, Xiangyan Tang, Victor S. Sheng:
A Modified PointNet-Based DDoS Attack Classification and Segmentation in Blockchain. Comput. Syst. Sci. Eng. 47(1): 975-992 (2023) - [j115]Fan Xu, Victor S. Sheng, Mingwen Wang:
A Unified Perspective for Disinformation Detection and Truth Discovery in Social Sensing: A Survey. ACM Comput. Surv. 55(2): 6:1-6:33 (2023) - [j114]Xindong Wu, Hao Chen, Chenyang Bu, Shengwei Ji, Zan Zhang, Victor S. Sheng:
HUSS: A Heuristic Method for Understanding the Semantic Structure of Spreadsheets. Data Intell. 5(3): 537-559 (2023) - [j113]Ming Wu, Qianmu Li, Fei Yang, Jing Zhang, Victor S. Sheng, Jun Hou:
Learning from biased crowdsourced labeling with deep clustering. Expert Syst. Appl. 211: 118608 (2023) - [j112]Huijuan Zhu, Wei Gu, Liangmin Wang, Zhicheng Xu, Victor S. Sheng:
Android malware detection based on multi-head squeeze-and-excitation residual network. Expert Syst. Appl. 212: 118705 (2023) - [j111]Han Li, Huan Rong, Victor S. Sheng, Yuqing Song, Cheng-Jian Qiu, Kai Han, Zhe Liu:
Cascaded multi-point regression Network for high-quality generic lesion detection. Expert Syst. Appl. 214: 119141 (2023) - [j110]Huijuan Zhu, Huahui Wei, Liangmin Wang, Zhicheng Xu, Victor S. Sheng:
An effective end-to-end android malware detection method. Expert Syst. Appl. 218: 119593 (2023) - [j109]Jie Chen, Xuefeng Xi, Victor S. Sheng, Zhiming Cui:
Randomly Wired Graph Neural Network for Chinese NER. Expert Syst. Appl. 227: 120245 (2023) - [j108]Hui-juan Zhu, Yang Li, Liang-min Wang, Victor S. Sheng:
A multi-model ensemble learning framework for imbalanced android malware detection. Expert Syst. Appl. 234: 120952 (2023) - [j107]Liangmin Wang, Victor S. Sheng, Boris Düdder, Haiqin Wu, Huijuan Zhu:
Security and privacy issues in blockchain and its applications. IET Blockchain 3(4): 169-171 (2023) - [j106]Wei Fang, Xuelei Jia, Wen Zhang, Victor S. Sheng:
A New Distributed Log Anomaly Detection Method based on Message Middleware and ATT-GRU. KSII Trans. Internet Inf. Syst. 17(2): 486-503 (2023) - [j105]Hongyan Zhang, Victor S. Sheng, Xuefeng Xi, Zhiming Cui, Huan Rong:
Overview of RGBD semantic segmentation based on deep learning. J. Ambient Intell. Humaniz. Comput. 14(10): 13627-13645 (2023) - [j104]Zhong Chen, Victor S. Sheng, Andrea Edwards, Kun Zhang:
An effective cost-sensitive sparse online learning framework for imbalanced streaming data classification and its application to online anomaly detection. Knowl. Inf. Syst. 65(1): 59-87 (2023) - [j103]Liyuan Gao, Huixin Zhan, Victor S. Sheng:
Mitigate Gender Bias Using Negative Multi-task Learning. Neural Process. Lett. 55(8): 11131-11146 (2023) - [j102]Yongjing Hao, Jun Ma, Pengpeng Zhao, Guanfeng Liu, Xuefeng Xian, Lei Zhao, Victor S. Sheng:
Multi-dimensional Graph Neural Network for Sequential Recommendation. Pattern Recognit. 139: 109504 (2023) - [j101]Jing Zhang, Sunyue Xu, Victor S. Sheng:
Crowdmeta: Crowdsourcing truth inference with meta-Knowledge transfer. Pattern Recognit. 140: 109525 (2023) - [j100]Wei Fang, Lin Pang, Victor S. Sheng, Qiguang Wang:
STUNNER: Radar Echo Extrapolation Model Based on Spatiotemporal Fusion Neural Network. IEEE Trans. Geosci. Remote. Sens. 61: 1-14 (2023) - [j99]Yunyi Li, Yongjing Hao, Pengpeng Zhao, Guanfeng Liu, Yanchi Liu, Victor S. Sheng, Xiaofang Zhou:
Edge-enhanced Global Disentangled Graph Neural Network for Sequential Recommendation. ACM Trans. Knowl. Discov. Data 17(6): 80:1-80:22 (2023) - [j98]Jiabo Zhuang, Shunmei Meng, Jing Zhang, Victor S. Sheng:
Contrastive Learning Based Graph Convolution Network for Social Recommendation. ACM Trans. Knowl. Discov. Data 17(8): 120:1-120:21 (2023) - [j97]Qingren Wang, Chengcheng Zhu, Yiwen Zhang, Hong Zhong, Jinqin Zhong, Victor S. Sheng:
Short Text Topic Learning Using Heterogeneous Information Network. IEEE Trans. Knowl. Data Eng. 35(5): 5269-5281 (2023) - [j96]Yongjing Hao, Tingting Zhang, Pengpeng Zhao, Yanchi Liu, Victor S. Sheng, Jiajie Xu, Guanfeng Liu, Xiaofang Zhou:
Feature-Level Deeper Self-Attention Network With Contrastive Learning for Sequential Recommendation. IEEE Trans. Knowl. Data Eng. 35(10): 10112-10124 (2023) - [j95]Yaxing Fang, Pengpeng Zhao, Guanfeng Liu, Yanchi Liu, Victor S. Sheng, Lei Zhao, Xiaofang Zhou:
Quaternion-based graph convolution network for recommendation. World Wide Web (WWW) 26(5): 2835-2854 (2023) - [j94]Huiwang Zhang, Pengpeng Zhao, Xuefeng Xian, Victor S. Sheng, Yongjing Hao, Zhiming Cui:
Click is not equal to purchase: multi-task reinforcement learning for multi-behavior recommendation. World Wide Web (WWW) 26(6): 4153-4172 (2023) - [c137]Huixin Zhan, Victor S. Sheng:
Privacy-Preserving Representation Learning for Text-Attributed Networks with Simplicial Complexes. AAAI 2023: 16143-16144 - [c136]Liyuan Gao, Huixin Zhan, Austin Chen, Victor S. Sheng:
Towards Fair and Selectively Privacy-Preserving Models Using Negative Multi-Task Learning (Student Abstract). AAAI 2023: 16214-16215 - [c135]Ruoyu Xu, Gaoxiang Li, Wei Jin, Austin Chen, Victor S. Sheng:
ACCD: An Adaptive Clustering-Based Collusion Detector in Crowdsourcing (Student Abstract). AAAI 2023: 16370-16371 - [c134]Zhenyu Xu, Victor S. Sheng, Keyi Lu:
Logic Error Localization and Correction with Machine Learning (Student Abstract). AAAI 2023: 16372-16373 - [c133]Huixin Zhan, Kun Zhang, Keyi Lu, Victor S. Sheng:
Measuring the Privacy Leakage via Graph Reconstruction Attacks on Simplicial Neural Networks (Student Abstract). AAAI 2023: 16380-16381 - [c132]Zhenyu Xu, Victor S. Sheng:
Enhancing Logic Error Detection Through Program Pseudocodes. APSEC 2023: 643-644 - [c131]Liyuan Gao, Kyler Shu, Jun Zhang, Victor S. Sheng:
Explainable Transcription Factor Prediction with Protein Language Models. BIBM 2023: 853-856 - [c130]Mohammad Abu-Shaira, Alejandro Rodriguez, Greg Speegle, Victor S. Sheng, Ishfaq Ahmad:
OLR-WA: Online Weighted Average Linear Regression in Multivariate Data Streams. IEEE Big Data 2023: 1039-1046 - [c129]Himel Das Gupta, Victor S. Sheng:
Neurosymbolic Knowledge Distillation. IEEE Big Data 2023: 5243-5249 - [c128]Huixin Zhan, Kun Zhang, Zhong Chen, Victor S. Sheng:
Simplex2vec Backward: From Vectors Back to Simplicial Complex. CIKM 2023: 4405-4409 - [c127]Huixin Zhan, Liyuan Gao, Kun Zhang, Zhong Chen, Victor S. Sheng:
Defending the Graph Reconstruction Attacks for Simplicial Neural Networks. DSAA 2023: 1-9 - [c126]Tianshi Che, Ji Liu, Yang Zhou, Jiaxiang Ren, Jiwen Zhou, Victor S. Sheng, Huaiyu Dai, Dejing Dou:
Federated Learning of Large Language Models with Parameter-Efficient Prompt Tuning and Adaptive Optimization. EMNLP 2023: 7871-7888 - [c125]Xinyu Du, Huanhuan Yuan, Pengpeng Zhao, Junhua Fang, Guanfeng Liu, Yanchi Liu, Victor S. Sheng, Xiaofang Zhou:
Contrastive Enhanced Slide Filter Mixer for Sequential Recommendation. ICDE 2023: 2673-2685 - [c124]Huan Rong, Victor S. Sheng, Tinghuai Ma, Yang Zhou, Mznah Al-Rodhaan:
A Self-play and Sentiment-Emphasized Comment Integration Framework Based on Deep Q-Learning in a Crowdsourcing Scenario : Extended Abstract. ICDE 2023: 3847-3848 - [c123]Ruoyu Xu, Gaoxiang Li, Wei Jin, Austin Chen, Victor S. Sheng:
Adaptive Clustering-Based Collusion Detection in Crowdsourcing. ICIC (4) 2023: 261-275 - [c122]Shuohui Hao, Zhe Liu, Yuqing Song, Yi Liu, Kai Han, Victor S. Sheng, Yan Zhu:
Sample Selection Based on Uncertainty for Combating Label Noise. ICONIP (9) 2023: 62-74 - [c121]Huanhuan Yuan, Pengpeng Zhao, Xuefeng Xian, Guanfeng Liu, Yanchi Liu, Victor S. Sheng, Lei Zhao:
Sequential Recommendation with Probabilistic Logical Reasoning. IJCAI 2023: 2432-2440 - [c120]Huijuan Zhu, Kaixuan Yang, Liangmin Wang, Zhicheng Xu, Victor S. Sheng:
GraBit: A Sequential Model-Based Framework for Smart Contract Vulnerability Detection. ISSRE 2023: 568-577 - [c119]Hanwen Du, Huanhuan Yuan, Pengpeng Zhao, Fuzhen Zhuang, Guanfeng Liu, Lei Zhao, Yanchi Liu, Victor S. Sheng:
Ensemble Modeling with Contrastive Knowledge Distillation for Sequential Recommendation. SIGIR 2023: 58-67 - [c118]Xinyu Du, Huanhuan Yuan, Pengpeng Zhao, Jianfeng Qu, Fuzhen Zhuang, Guanfeng Liu, Yanchi Liu, Victor S. Sheng:
Frequency Enhanced Hybrid Attention Network for Sequential Recommendation. SIGIR 2023: 78-88 - [c117]Xiuyuan Qin, Huanhuan Yuan, Pengpeng Zhao, Junhua Fang, Fuzhen Zhuang, Guanfeng Liu, Yanchi Liu, Victor S. Sheng:
Meta-optimized Contrastive Learning for Sequential Recommendation. SIGIR 2023: 89-98 - [e3]Victor S. Sheng, Chindo Hicks, Charles Ling, Vijay Raghavan, Xindong Wu:
IEEE International Conference on Knowledge Graph, ICKG 2023, Shanghai, China, December 1-2, 2023. IEEE 2023, ISBN 979-8-3503-0709-2 [contents] - [i21]Huixin Zhan, Kun Zhang, Keyi Lu, Victor S. Sheng:
Measuring the Privacy Leakage via Graph Reconstruction Attacks on Simplicial Neural Networks (Student Abstract). CoRR abs/2302.04373 (2023) - [i20]Huixin Zhan, Victor S. Sheng:
Privacy-Preserving Representation Learning for Text-Attributed Networks with Simplicial Complexes. CoRR abs/2302.04383 (2023) - [i19]Xiuyuan Qin, Huanhuan Yuan, Pengpeng Zhao, Junhua Fang, Fuzhen Zhuang, Guanfeng Liu, Yanchi Liu, Victor S. Sheng:
Meta-optimized Contrastive Learning for Sequential Recommendation. CoRR abs/2304.07763 (2023) - [i18]Huanhuan Yuan, Pengpeng Zhao, Xuefeng Xian, Guanfeng Liu, Yanchi Liu, Victor S. Sheng, Lei Zhao:
Sequential Recommendation with Probabilistic Logical Reasoning. CoRR abs/2304.11383 (2023) - [i17]Hanwen Du, Huanhuan Yuan, Pengpeng Zhao, Fuzhen Zhuang, Guanfeng Liu, Lei Zhao, Yanchi Liu, Victor S. Sheng:
Ensemble Modeling with Contrastive Knowledge Distillation for Sequential Recommendation. CoRR abs/2304.14668 (2023) - [i16]Xinyu Du, Huanhuan Yuan, Pengpeng Zhao, Junhua Fang, Guanfeng Liu, Yanchi Liu, Victor S. Sheng, Xiaofang Zhou:
Contrastive Enhanced Slide Filter Mixer for Sequential Recommendation. CoRR abs/2305.04322 (2023) - [i15]Yongjing Hao, Pengpeng Zhao, Junhua Fang, Jianfeng Qu, Guanfeng Liu, Fuzhen Zhuang, Victor S. Sheng, Xiaofang Zhou:
Meta-optimized Joint Generative and Contrastive Learning for Sequential Recommendation. CoRR abs/2310.13925 (2023) - [i14]Xiuyuan Qin, Huanhuan Yuan, Pengpeng Zhao, Guanfeng Liu, Fuzhen Zhuang, Victor S. Sheng:
Intent Contrastive Learning with Cross Subsequences for Sequential Recommendation. CoRR abs/2310.14318 (2023) - [i13]Tianshi Che, Ji Liu, Yang Zhou, Jiaxiang Ren, Jiwen Zhou, Victor S. Sheng, Huaiyu Dai, Dejing Dou:
Federated Learning of Large Language Models with Parameter-Efficient Prompt Tuning and Adaptive Optimization. CoRR abs/2310.15080 (2023) - 2022
- [j93]Qingren Wang, Min Zhang, Yiwen Zhang, Jinqin Zhong, Victor S. Sheng:
Location-based deep factorization machine model for service recommendation. Appl. Intell. 52(9): 9899-9918 (2022) - [j92]Wei Fang, Enming Gu, Weinan Yi, Weiqing Wang, Victor S. Sheng:
A New Method of Image Restoration Technology Based on WGAN. Comput. Syst. Sci. Eng. 41(2): 689-698 (2022) - [j91]Can Xiao, Feng Li, Dengyong Zhang, Pu Huang, Xiangling Ding, Victor S. Sheng:
Image Inpainting Detection Based on High-Pass Filter Attention Network. Comput. Syst. Sci. Eng. 43(3): 1145-1154 (2022) - [j90]Zhe Liu, Jun Su, Ruihao Wang, Rui Jiang, Yu-Qing Song, Dengyong Zhang, Yan Zhu, Deqi Yuan, Qingsong Gan, Victor S. Sheng:
Pancreas Co-segmentation based on dynamic ROI extraction and VGGU-Net. Expert Syst. Appl. 192: 116444 (2022) - [j89]Cangqi Zhou, Jing Zhang, Kaisheng Gao, Qianmu Li, Dianming Hu, Victor S. Sheng:
Bipartite network embedding with Symmetric Neighborhood Convolution. Expert Syst. Appl. 198: 116757 (2022) - [j88]Qingren Wang, Jian Lu, Wei Li, Jing Zhang, Victor S. Sheng:
Homophily-aware correction framework for crowdsourced labels using heterogeneous information network. Expert Syst. Appl. 200: 116896 (2022) - [j87]Dengyong Zhang, Pengjie Wu, Feng Li, Wenjie Zhu, Victor S. Sheng:
Cascaded-Hop For DeepFake Videos Detection. KSII Trans. Internet Inf. Syst. 16(5): 1671-1686 (2022) - [j86]Jingxin Liu, Jieren Cheng, Xin Peng, Zeli Zhao, Xiangyan Tang, Victor S. Sheng:
MSFM: Multi-view Semantic Feature Fusion Model for Chinese Named Entity Recognition. KSII Trans. Internet Inf. Syst. 16(6): 1833-1848 (2022) - [j85]