Victor S. Sheng

382 papers A* 52A 11B 19C 5Misc 2Journal 216Unranked 69
YearRankTypeTitle / Venue / Authors
2026 J jnl
A Behavioral Fingerprint for Large Language Models: Provenance Tracking via Refusal Vectors.
CoRR
Zhenyu Xu, Victor S. Sheng
2026 J jnl
Blockchain and Federated Learning for Decentralized Edge Intelligence in Next Generation IoT Security.
IEEE Commun. Stand. Mag.
Mohit Kumar, Aryan Kaushik, Carlo Fischione, Victor S. Sheng
2026 J jnl
Controlling Chat Style in Language Models via Single-Direction Editing.
CoRR
Zhenyu Xu, Victor S. Sheng
2026 J jnl
Introduction to the Special Issue on Deep Reinforcement Learning for Recommender Systems.
Trans. Recomm. Syst.
Lianyong Qi, Shoujin Wang, Victor S. Sheng, Lina Yao
2026 J jnl
Scale-Aware Attention and Multi-Modal Prompt Learning With Fusion Adapter for RGBT Tracking.
IEEE Trans. Multim.
Xiang Liu, Haiyan Li, Victor S. Sheng, Yujun Ma, Xiaoguo Liang, Guanbo Wang
2026 J jnl
Self-Adaptive Retroaction-Aware Representation Learning for Inductive-Transductive Knowledge Graph Completion.
IEEE Trans. Knowl. Data Eng.
Yufeng Zhang, Wei Chen, Victor S. Sheng, Xiaofang Zhang, An Liu, Lei Zhao
2026 A* conf
Token-Context Attention for NLI: An Alternative to Self-Attention.
AAAI
Xin Zhang, Victor S. Sheng
2025 J jnl
A novel federal learning-based framework defending server-level privacy leakage.
Expert Syst. Appl.
Qingren Wang, Ao liu, Chuankai Feng, Yan Xu, Jinqin Zhong, Victor S. Sheng
2025 J jnl
AGSEI: Adaptive Graph Structure Estimation With Long-Tail Distributed Implicit Graphs.
IEEE Trans. Emerg. Top. Comput.
Yunfei He, Yang Wu, Lishan Huang, Zhenwan Peng, Fei Yang, Yiwen Zhang, Victor S. Sheng
2025 A* conf
CLEP: A Novel Contrastive Learning Method for Evolutionary Reentrancy Vulnerability Detection.
AAAI
Jie Chen, Liangmin Wang, Huijuan Zhu, Victor S. Sheng
2025 J jnl
Class-attention video transformer for engagement prediction.
Multim. Tools Appl.
Xusheng Ai, Victor S. Sheng, Chunhua Li, Han Yang, Zhiming Cui
2025 J jnl
CodeVision: Detecting LLM-Generated Code Using 2D Token Probability Maps and Vision Models.
CoRR
Zhenyu Xu, Victor S. Sheng
2025 J jnl
CogLign: Interpretable Text Sentiment Determination by Aligning Cognition Between EEG-Derived Brain Graph and Text-Derived Knowledge Graph.
IEEE Trans. Knowl. Data Eng.
Huan Rong, Wenxuan Ji, Tinghuai Ma, Weiyi Ding, Victor S. Sheng
2025 — conf
ComplexWaveGAT: Complex-Valued Graph Attention Networks for Modeling Protein-Protein Interactions.
BIBM
Liyuan Gao, Xin Zhang, Kun Zhang, Victor S. Sheng
2025 J jnl
Cross-modal deep interaction and modal-aware aggregation network for visible and infrared tracking.
Appl. Soft Comput.
Xiang Liu, Haiyan Li, Victor S. Sheng, Yujun Ma, Xiaoguo Liang, Guanbo Wang
2025 J jnl
DPMNet: A Remote Sensing Forest Fire Real-Time Detection Network Driven by Dual Pathways and Multidimensional Interactions of Features.
IEEE Trans. Circuits Syst. Video Technol.
Guanbo Wang, Haiyan Li, Victor S. Sheng, Yujun Ma, Hongwei Ding, Hongzhi Zhao
2025 J jnl
Detecting worker collusion in crowdsourcing: Methods, datasets, and challenges.
Expert Syst. Appl.
Ruoyu Xu, Gaoxiang Li, Victor S. Sheng
2025 J jnl
EDCM-EA: event prediction based on event development context mining considering event arguments.
Multim. Syst.
Zhiheng Gong, Huan Rong, Zhongfeng Chen, Yixiang Tang, Victor S. Sheng
2025 — conf
Enhancing ChatGPT-4o's Automated Programming Assignment Grading and Feedback with Human-in-the-Loop Refinement.
ICIC (9)
Ruoyu Xu, Gaoxiang Li, Victor S. Sheng
2025 J jnl
Enhancing Transcription Factor Prediction via Domain Knowledge Integration With Logic Tensor Networks.
IEEE Trans. Comput. Biol. Bioinform.
Liyuan Gao, Linpeng Sun, Victor S. Sheng
2025 J jnl
Enhancing password security with honeywords and LLMs.
J. Inf. Secur. Appl.
Afamefuna Umejiaku, Moroti Sonde, Victor S. Sheng
2025 A* conf
Fuzzy Collaborative Reasoning.
AAAI
Huanhuan Yuan, Pengpeng Zhao, Jiaqing Fan, Junhua Fang, Guanfeng Liu, Victor S. Sheng
2025 — conf
Hope Speech Detection: A Comparative Study of Machine Learning, Deep Learning, and Transformer-Based Models.
IberLEF@SEPLN
GodsGift Uzor, Mohammadsaleh Pajuhanfard, Michael Beebe, Maaz Amjad, Victor S. Sheng
2025 J jnl
Local Community Detection in Multi-Attributed Road-Social Networks.
IEEE Trans. Knowl. Data Eng.
Li Ni, Qiuyu Li, Yiwen Zhang, Wenjian Luo, Victor S. Sheng
2025 J jnl
Multi-axis fusion with optimal transport learning for multimodal aspect-based sentiment analysis.
Expert Syst. Appl.
Li Jia, Tinghuai Ma, Huan Rong, Liyuan Gao, Yu-Feng Zhang, Victor S. Sheng
2025 J jnl
OLR-WA: Online Weighted Average Linear Regression in Multivariate Data Streams.
CoRR
Mohammad Abu-Shaira, Alejandro Rodriguez, Greg Speegle, Victor S. Sheng, Ishfaq Ahmad
2025 J jnl
Pred-ID: Future event prediction based on event type schema mining by graph induction and deduction.
Inf. Fusion
Huan Rong, Zhongfeng Chen, Zhenyu Lu, Xiao-Ke Xu, Kai Huang, Victor S. Sheng
2025 J jnl
Proactive Statistical Process Control Using AI: A Time Series Forecasting Approach for Semiconductor Manufacturing.
CoRR
Mohammad Iqbal Rasul Seeam, Victor S. Sheng
2025 J jnl
Quantum generative adversarial network for image generation.
Vis. Comput.
Mohammadsaleh Pajuhanfard, Ziwen Pan, Victor S. Sheng
2025 J jnl
Region Uncertainty Estimation for Medical Image Segmentation With Noisy Labels.
IEEE Trans. Medical Imaging
Kai Han, Shuhui Wang, Jun Chen, Chengxuan Qian, Chongwen Lyu, Siqi Ma, Chengjian Qiu, Victor S. Sheng, Qingming Huang, Zhe Liu
2025 J jnl
Rethinking Masked Autoencoder for Salient Object Detection in Optical Remote Sensing Images From a Pseudo Image Pretraining Perspective.
IEEE Trans. Geosci. Remote. Sens.
Yuxiang Fu, Wei Fang, Victor S. Sheng
2025 A* conf
SLRL: Semi-Supervised Local Community Detection Based on Reinforcement Learning.
AAAI
Li Ni, Rui Ye, Wenjian Luo, Yiwen Zhang, Lei Zhang, Victor S. Sheng
2025 J jnl
Simplify to the Limit! Embedding-Less Graph Collaborative Filtering for Recommender Systems.
ACM Trans. Inf. Syst.
Yi Zhang, Yiwen Zhang, Lei Sang, Victor S. Sheng
2025 J jnl
TiFedCrowd: Federated Crowdsourcing With Time-Controlled Incentive.
IEEE Trans. Emerg. Top. Comput. Intell.
Xiaoqian Jiang, Jing Zhang, Ming Wu, Victor S. Sheng
2024 J jnl
A Dynamic Analysis-Powered Explanation Framework for Malware Detection.
IEEE Trans. Knowl. Data Eng.
Huijuan Zhu, Xilong Chen, Liangmin Wang, Zhicheng Xu, Victor S. Sheng
2024 A conf
A General Strategy Graph Collaborative Filtering for Recommendation Unlearning.
CIKM
Yongjing Hao, Fuzhen Zhuang, Deqing Wang, Guanfeng Liu, Victor S. Sheng, Pengpeng Zhao
2024 J jnl
A Little Truth Injection But a Big Reward: Label Aggregation With Graph Neural Networks.
IEEE Trans. Pattern Anal. Mach. Intell.
Zijian Ying, Jing Zhang, Qianmu Li, Ming Wu, Victor S. Sheng
2024 J jnl
A Novel Knowledge Search Structure for Android Malware Detection.
IEEE Trans. Serv. Comput.
Huijuan Zhu, Mengzhen Xia, Liangmin Wang, Zhicheng Xu, Victor S. Sheng
2024 J jnl
A Rearrangement and Restore-Based Mixer Model for Target-Oriented Multimodal Sentiment Classification.
IEEE Trans. Artif. Intell.
Li Jia, Tinghuai Ma, Huan Rong, Victor S. Sheng, Xuejian Huang, Xintong Xie
2024 J jnl
A Survey on Security Analysis Methods of Smart Contracts.
IEEE Trans. Serv. Comput.
Huijuan Zhu, Lei Yang, Liangmin Wang, Victor S. Sheng
2024 J jnl
A lightweight deep learning-based android malware detection framework.
Expert Syst. Appl.
Runze Ma, Shangnan Yin, Xia Feng, Huijuan Zhu, Victor S. Sheng
2024 J jnl
Active Crowdsourcing for Multilabel Annotation.
IEEE Trans. Neural Networks Learn. Syst.
Jing Zhang, Ming Wu, Cangqi Zhou, Victor S. Sheng
2024 J jnl
Affiliation-based Local Community Detection across Multiple Networks.
CoRR
Li Ni, Zhou Xie, Yiwen Zhang, Wenjian Luo, Victor S. Sheng
2024 J jnl
Automatic medical report generation combining contrastive learning and feature difference.
Knowl. Based Syst.
Chongwen Lyu, Chengjian Qiu, Kai Han, Saisai Li, Victor S. Sheng, Huan Rong, Yuqing Song, Yi Liu, Zhe Liu
2024 B conf
Beyond Binary Classification: Customizable Text Watermark on Large Language Models.
IJCNN
Zhenyu Xu, Ruoyu Xu, Victor S. Sheng
2024 A* conf
Bridging the Gap between Source Code and Requirements Using GPT (Student Abstract).
AAAI
Ruoyu Xu, Zhenyu Xu, Gaoxiang Li, Victor S. Sheng
2024 J jnl
Bridging the Gap: Representation Spaces in Neuro-Symbolic AI.
CoRR
Xin Zhang, Victor S. Sheng
2024 J jnl
Burned Area Segmentation in Optical Remote Sensing Images Driven by U-Shaped Multistage Masked Autoencoder.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens.
Yuxiang Fu, Wei Fang, Victor S. Sheng
2024 A* conf
ChatGPT-Generated Code Assignment Detection Using Perplexity of Large Language Models (Student Abstract).
AAAI
Zhenyu Xu, Ruoyu Xu, Victor S. Sheng
2024 J jnl
CoBjeason: Reasoning Covered Object in Image by Multi-Agent Collaboration Based on Informed Knowledge Graph.
ACM Trans. Knowl. Discov. Data
Huan Rong, Minfeng Qian, Tinghuai Ma, Di Jin, Victor S. Sheng
2024 J jnl
Cost-sensitive sparse group online learning for imbalanced data streams.
Mach. Learn.
Zhong Chen, Victor S. Sheng, Andrea Edwards, Kun Zhang
2024 A* conf
DDViT: Double-Level Fusion Domain Adapter Vision Transformer (Student Abstract).
AAAI
Linpeng Sun, Victor S. Sheng
2024 J jnl
DPFLA: Defending Private Federated Learning Against Poisoning Attacks.
IEEE Trans. Serv. Comput.
Xia Feng, Wenhao Cheng, Chunjie Cao, Liangmin Wang, Victor S. Sheng
2024 J jnl
Deep semi-supervised learning for medical image segmentation: A review.
Expert Syst. Appl.
Kai Han, Victor S. Sheng, Yuqing Song, Yi Liu, Chengjian Qiu, Siqi Ma, Zhe Liu
2024 — conf
Defense Against Adversarial Attacks for Neural Representations of Text.
HICSS
Huixin Zhan, Kun Zhang, Zhong Chen, Victor S. Sheng
2024 A* conf
Detecting AI-Generated Code Assignments Using Perplexity of Large Language Models.
AAAI
Zhenyu Xu, Victor S. Sheng
2024 J jnl
Dual Backbone Interaction Network for Burned Area Segmentation in Optical Remote Sensing Images.
IEEE Geosci. Remote. Sens. Lett.
Wei Fang, Yuxiang Fu, Victor S. Sheng
2024 J jnl
Dual-Supervised Contrastive Learning for Bundle Recommendation.
IEEE Trans. Comput. Soc. Syst.
Chuanjiu Wu, Huanhuan Yuan, Pengpeng Zhao, Jianfeng Qu, Victor S. Sheng, Guanfeng Liu
2024 A* conf
Enhancing Transcription Factor Prediction through Multi-Task Learning (Student Abstract).
AAAI
Liyuan Gao, Matthew Zhang, Victor S. Sheng
2024 — conf
Exploring Task-Specific Dimensions in Word Embeddings Through Automatic Rule Learning.
ICANN (4)
Liyuan Gao, Huixin Zhan, Victor S. Sheng
2024 J jnl
FPS-U2Net: Combining U2Net and multi-level aggregation architecture for fire point segmentation in remote sensing images.
Comput. Geosci.
Wei Fang, Yuxiang Fu, Victor S. Sheng
2024 J jnl
Feature-Aware Contrastive Learning With Bidirectional Transformers for Sequential Recommendation.
IEEE Trans. Knowl. Data Eng.
Hanwen Du, Huanhuan Yuan, Pengpeng Zhao, Deqing Wang, Victor S. Sheng, Yanchi Liu, Guanfeng Liu, Lei Zhao
2024 J jnl
FreqMark: Frequency-Based Watermark for Sentence-Level Detection of LLM-Generated Text.
CoRR
Zhenyu Xu, Kun Zhang, Victor S. Sheng
2024 J jnl
FuFaction: Fuzzy Factual Inconsistency Correction on Crowdsourced Documents With Hybrid-Mask at the Hidden-State Level.
IEEE Trans. Knowl. Data Eng.
Huan Rong, Gongchi Chen, Tinghuai Ma, Victor S. Sheng, Elisa Bertino
2024 J jnl
Hierarchical Graph Capsule Networks for Molecular Function Classification With Disentangled Representations.
IEEE Trans. Comput. Biol. Bioinform.
Jing Zhang, Yu Lei, Yuxiang Wang, Cangqi Zhou, Victor S. Sheng
2024 J jnl
Hierarchical graph attention networks for multi-modal rumor detection on social media.
Neurocomputing
Fan Xu, Lei Zeng, Qi Huang, Keyu Yan, Mingwen Wang, Victor S. Sheng
2024 J jnl
Improving graph collaborative filtering with multimodal-side-information-enriched contrastive learning.
J. Intell. Inf. Syst.
Shan Lei, Huanhuan Yuan, Pengpeng Zhao, Jianfeng Qu, Junhua Fang, Guanfeng Liu, Victor S. Sheng
2024 A conf
Intent Contrastive Learning with Cross Subsequences for Sequential Recommendation.
WSDM
Xiuyuan Qin, Huanhuan Yuan, Pengpeng Zhao, Guanfeng Liu, Fuzhen Zhuang, Victor S. Sheng
2024 J jnl
KGCDP-T: Interpreting knowledge graphs into text by content ordering and dynamic planning with three-level reconstruction.
Knowl. Based Syst.
Huan Rong, Shengjie Sun, Tinghuai Ma, Di Jin, Victor S. Sheng
2024 J jnl
LMACL: Improving Graph Collaborative Filtering with Learnable Model Augmentation Contrastive Learning.
ACM Trans. Knowl. Discov. Data
Xinru Liu, Yongjing Hao, Lei Zhao, Guanfeng Liu, Victor S. Sheng, Pengpeng Zhao
2024 J jnl
LSADEN: Local Spatial-Aware Community Detection in Evolving Geo-Social Networks.
IEEE Trans. Knowl. Data Eng.
Li Ni, Qiuyu Li, Yiwen Zhang, Wenjian Luo, Victor S. Sheng
2024 J jnl
Label-Dependent Graph Neural Network.
IEEE Trans. Comput. Soc. Syst.
Yunfei He, Yiwen Zhang, Fei Yang, Dengcheng Yan, Victor S. Sheng
2024 J jnl
Learnable Model Augmentation Contrastive Learning for Sequential Recommendation.
IEEE Trans. Knowl. Data Eng.
Yongjing Hao, Pengpeng Zhao, Xuefeng Xian, Guanfeng Liu, Lei Zhao, Yanchi Liu, Victor S. Sheng, Xiaofang Zhou
2024 J jnl
Learning Global and Multi-granularity Local Representation with MLP for Sequential Recommendation.
ACM Trans. Knowl. Discov. Data
Chao Long, Huanhuan Yuan, Junhua Fang, Xuefeng Xian, Guanfeng Liu, Victor S. Sheng, Pengpeng Zhao
2024 J jnl
LecPrompt: A Prompt-based Approach for Logical Error Correction with CodeBERT.
CoRR
Zhenyu Xu, Victor S. Sheng
2024 J jnl
Local Overlapping Spatial-aware Community Detection.
ACM Trans. Knowl. Discov. Data
Li Ni, Hefei Xu, Yiwen Zhang, Wenjian Luo, Yingying Huang, Victor S. Sheng
2024 J jnl
Logic Error Localization in Student Programming Assignments Using Pseudocode and Graph Neural Networks.
CoRR
Zhenyu Xu, Kun Zhang, Victor S. Sheng
2024 J jnl
MMMViT: Multiscale multimodal vision transformer for brain tumor segmentation with missing modalities.
Biomed. Signal Process. Control.
Chengjian Qiu, Yuqing Song, Yi Liu, Yan Zhu, Kai Han, Victor S. Sheng, Zhe Liu
2024 A* conf
Meta-Optimized Joint Generative and Contrastive Learning for Sequential Recommendation.
ICDE
Yongjing Hao, Pengpeng Zhao, Junhua Fang, Jianfeng Qu, Guanfeng Liu, Fuzhen Zhuang, Victor S. Sheng, Xiaofang Zhou
2024 A* conf
Meta-optimized Structural and Semantic Contrastive Learning for Graph Collaborative Filtering.
ICDE
Yongjing Hao, Pengpeng Zhao, Jianfeng Qu, Lei Zhao, Guanfeng Liu, Fuzhen Zhuang, Victor S. Sheng, Xiaofang Zhou
2024 J jnl
Multi-Task Program Error Repair and Explanatory Diagnosis.
CoRR
Zhenyu Xu, Victor S. Sheng
2024 J jnl
Multization: Multi-Modal Summarization Enhanced by Multi-Contextually Relevant and Irrelevant Attention Alignment.
ACM Trans. Asian Low Resour. Lang. Inf. Process.
Huan Rong, Zhongfeng Chen, Zhenyu Lu, Fan Xu, Victor S. Sheng
2024 J jnl
Neuro-Symbolic AI: Explainability, Challenges, and Future Trends.
CoRR
Xin Zhang, Victor S. Sheng
2024 B conf
Privacy-Preserving Unsupervised Spherical Text Embeddings.
IJCNN
Huixin Zhan, Liyuan Gao, Victor S. Sheng
2024 A conf
Robust Sparse Online Learning for Data Streams with Streaming Features.
SDM
Zhong Chen, Yi He, Di Wu, Huixin Zhan, Victor S. Sheng, Kun Zhang
2024 J jnl
Semi-Supervised Local Community Detection.
IEEE Trans. Knowl. Data Eng.
Li Ni, Junnan Ge, Yiwen Zhang, Wenjian Luo, Victor S. Sheng
2024 J jnl
Signal Watermark on Large Language Models.
CoRR
Zhenyu Xu, Victor S. Sheng
2024 J jnl
Special Issue on "Ensuring security for artificial intelligence applications in mobile edge computing software systems".
Softw. Pract. Exp.
Lianyong Qi, Victor S. Sheng, Xiaolong Xu, Jinjun Chen
2024 J jnl
Survey on extreme learning machines for outlier detection.
Mach. Learn.
Rasoul Kiani, Wei Jin, Victor S. Sheng
2024 J jnl
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
Huan Rong, Xin Yu, Tinghuai Ma, Victor S. Sheng, Yang Zhou, Mznah Al-Rodhaan
2024 J jnl
Token2Wave.
CoRR
Xin Zhang, Victor S. Sheng
2024 — conf
Towards Minimal Edits in Automated Program Repair: A Hybrid Framework Integrating Graph Neural Networks and Large Language Models.
ICANN (5)
Zhenyu Xu, Victor S. Sheng
2024 J jnl
VRNet: A Vivid Radar Network for Precipitation Nowcasting.
IEEE Trans. Geosci. Remote. Sens.
Wei Fang, Liang Shen, Victor S. Sheng
2024 J jnl
WF-Transformer: Learning Temporal Features for Accurate Anonymous Traffic Identification by Using Transformer Networks.
IEEE Trans. Inf. Forensics Secur.
Qiang Zhou, Liangmin Wang, Huijuan Zhu, Tong Lu, Victor S. Sheng
2024 J jnl
Wave Network: An Ultra-Small Language Model.
CoRR
Xin Zhang, Victor S. Sheng
2023 J jnl
A Modified PointNet-Based DDoS Attack Classification and Segmentation in Blockchain.
Comput. Syst. Sci. Eng.
Jieren Cheng, Xiulai Li, Xinbing Xu, Xiangyan Tang, Victor S. Sheng
2023 J jnl
A New Distributed Log Anomaly Detection Method based on Message Middleware and ATT-GRU.
KSII Trans. Internet Inf. Syst.
Wei Fang, Xuelei Jia, Wen Zhang, Victor S. Sheng
2023 A* conf
A Self-play and Sentiment-Emphasized Comment Integration Framework Based on Deep Q-Learning in a Crowdsourcing Scenario : Extended Abstract.
ICDE
Huan Rong, Victor S. Sheng, Tinghuai Ma, Yang Zhou, Mznah Al-Rodhaan
2023 J jnl
A Unified Perspective for Disinformation Detection and Truth Discovery in Social Sensing: A Survey.
ACM Comput. Surv.
Fan Xu, Victor S. Sheng, Mingwen Wang
2023 J jnl
A multi-model ensemble learning framework for imbalanced android malware detection.
Expert Syst. Appl.
Hui-Juan Zhu, Yang Li, Liangmin Wang, Victor S. Sheng
2023 A* conf
ACCD: An Adaptive Clustering-Based Collusion Detector in Crowdsourcing (Student Abstract).
AAAI
Ruoyu Xu, Gaoxiang Li, Wei Jin, Austin Chen, Victor S. Sheng
2023 — conf
Adaptive Clustering-Based Collusion Detection in Crowdsourcing.
ICIC (4)
Ruoyu Xu, Gaoxiang Li, Wei Jin, Austin Chen, Victor S. Sheng
2023 J jnl
An effective cost-sensitive sparse online learning framework for imbalanced streaming data classification and its application to online anomaly detection.
Knowl. Inf. Syst.
Zhong Chen, Victor S. Sheng, Andrea Edwards, Kun Zhang
2023 J jnl
An effective end-to-end android malware detection method.
Expert Syst. Appl.
Huijuan Zhu, Huahui Wei, Liangmin Wang, Zhicheng Xu, Victor S. Sheng
2023 J jnl
Android malware detection based on multi-head squeeze-and-excitation residual network.
Expert Syst. Appl.
Huijuan Zhu, Wei Gu, Liangmin Wang, Zhicheng Xu, Victor S. Sheng
2023 J jnl
Cascaded multi-point regression Network for high-quality generic lesion detection.
Expert Syst. Appl.
Han Li, Huan Rong, Victor S. Sheng, Yuqing Song, Cheng-Jian Qiu, Kai Han, Zhe Liu
2023 J jnl
Click is not equal to purchase: multi-task reinforcement learning for multi-behavior recommendation.
World Wide Web (WWW)
Huiwang Zhang, Pengpeng Zhao, Xuefeng Xian, Victor S. Sheng, Yongjing Hao, Zhiming Cui
2023 A* conf
Contrastive Enhanced Slide Filter Mixer for Sequential Recommendation.
ICDE
Xinyu Du, Huanhuan Yuan, Pengpeng Zhao, Junhua Fang, Guanfeng Liu, Yanchi Liu, Victor S. Sheng, Xiaofang Zhou
2023 J jnl
Contrastive Enhanced Slide Filter Mixer for Sequential Recommendation.
CoRR
Xinyu Du, Huanhuan Yuan, Pengpeng Zhao, Junhua Fang, Guanfeng Liu, Yanchi Liu, Victor S. Sheng, Xiaofang Zhou
2023 J jnl
Contrastive Learning Based Graph Convolution Network for Social Recommendation.
ACM Trans. Knowl. Discov. Data
Jiabo Zhuang, Shunmei Meng, Jing Zhang, Victor S. Sheng
2023 J jnl
Crowdmeta: Crowdsourcing truth inference with meta-Knowledge transfer.
Pattern Recognit.
Jing Zhang, Sunyue Xu, Victor S. Sheng
2023 B conf
Defending the Graph Reconstruction Attacks for Simplicial Neural Networks.
DSAA
Huixin Zhan, Liyuan Gao, Kun Zhang, Zhong Chen, Victor S. Sheng
2023 J jnl
Edge-enhanced Global Disentangled Graph Neural Network for Sequential Recommendation.
ACM Trans. Knowl. Discov. Data
Yunyi Li, Yongjing Hao, Pengpeng Zhao, Guanfeng Liu, Yanchi Liu, Victor S. Sheng, Xiaofang Zhou
2023 C conf
Enhancing Logic Error Detection Through Program Pseudocodes.
APSEC
Zhenyu Xu, Victor S. Sheng
2023 A* conf
Ensemble Modeling with Contrastive Knowledge Distillation for Sequential Recommendation.
SIGIR
Hanwen Du, Huanhuan Yuan, Pengpeng Zhao, Fuzhen Zhuang, Guanfeng Liu, Lei Zhao, Yanchi Liu, Victor S. Sheng
2023 J jnl
Ensemble Modeling with Contrastive Knowledge Distillation for Sequential Recommendation.
CoRR
Hanwen Du, Huanhuan Yuan, Pengpeng Zhao, Fuzhen Zhuang, Guanfeng Liu, Lei Zhao, Yanchi Liu, Victor S. Sheng
2023 — conf
Explainable Transcription Factor Prediction with Protein Language Models.
BIBM
Liyuan Gao, Kyler Shu, Jun Zhang, Victor S. Sheng
2023 J jnl
Feature-Level Deeper Self-Attention Network With Contrastive Learning for Sequential Recommendation.
IEEE Trans. Knowl. Data Eng.
Yongjing Hao, Tingting Zhang, Pengpeng Zhao, Yanchi Liu, Victor S. Sheng, Jiajie Xu, Guanfeng Liu, Xiaofang Zhou
2023 A* conf
Federated Learning of Large Language Models with Parameter-Efficient Prompt Tuning and Adaptive Optimization.
EMNLP
Tianshi Che, Ji Liu, Yang Zhou, Jiaxiang Ren, Jiwen Zhou, Victor S. Sheng, Huaiyu Dai, Dejing Dou
2023 J jnl
Federated Learning of Large Language Models with Parameter-Efficient Prompt Tuning and Adaptive Optimization.
CoRR
Tianshi Che, Ji Liu, Yang Zhou, Jiaxiang Ren, Jiwen Zhou, Victor S. Sheng, Huaiyu Dai, Dejing Dou
2023 A* conf
Frequency Enhanced Hybrid Attention Network for Sequential Recommendation.
SIGIR
Xinyu Du, Huanhuan Yuan, Pengpeng Zhao, Jianfeng Qu, Fuzhen Zhuang, Guanfeng Liu, Yanchi Liu, Victor S. Sheng
2023 A conf
GraBit: A Sequential Model-Based Framework for Smart Contract Vulnerability Detection.
ISSRE
Huijuan Zhu, Kaixuan Yang, Liangmin Wang, Zhicheng Xu, Victor S. Sheng
2023 J jnl
HUSS: A Heuristic Method for Understanding the Semantic Structure of Spreadsheets.
Data Intell.
Xindong Wu, Hao Chen, Chenyang Bu, Shengwei Ji, Zan Zhang, Victor S. Sheng
2023 — ed.
IEEE International Conference on Knowledge Graph, ICKG 2023, Shanghai, China, December 1-2, 2023
ICKG
Victor S. Sheng, Chindo Hicks, Charles Ling, Vijay Raghavan, Xindong Wu
2023 J jnl
Intent Contrastive Learning with Cross Subsequences for Sequential Recommendation.
CoRR
Xiuyuan Qin, Huanhuan Yuan, Pengpeng Zhao, Guanfeng Liu, Fuzhen Zhuang, Victor S. Sheng
2023 J jnl
Learning from biased crowdsourced labeling with deep clustering.
Expert Syst. Appl.
Ming Wu, Qianmu Li, Fei Yang, Jing Zhang, Victor S. Sheng, Jun Hou
2023 J jnl
Load Optimization Scheduling of Chip Mounter Based on Hybrid Adaptive Optimization Algorithm.
Complex Syst. Model. Simul.
Xuesong Yan, Hao Zuo, Chengyu Hu, Wenyin Gong, Victor S. Sheng
2023 A* conf
Logic Error Localization and Correction with Machine Learning (Student Abstract).
AAAI
Zhenyu Xu, Victor S. Sheng, Keyi Lu
2023 A* conf
Measuring the Privacy Leakage via Graph Reconstruction Attacks on Simplicial Neural Networks (Student Abstract).
AAAI
Huixin Zhan, Kun Zhang, Keyi Lu, Victor S. Sheng
2023 J jnl
Measuring the Privacy Leakage via Graph Reconstruction Attacks on Simplicial Neural Networks (Student Abstract).
CoRR
Huixin Zhan, Kun Zhang, Keyi Lu, Victor S. Sheng
2023 A* conf
Meta-optimized Contrastive Learning for Sequential Recommendation.
SIGIR
Xiuyuan Qin, Huanhuan Yuan, Pengpeng Zhao, Junhua Fang, Fuzhen Zhuang, Guanfeng Liu, Yanchi Liu, Victor S. Sheng
2023 J jnl
Meta-optimized Contrastive Learning for Sequential Recommendation.
CoRR
Xiuyuan Qin, Huanhuan Yuan, Pengpeng Zhao, Junhua Fang, Fuzhen Zhuang, Guanfeng Liu, Yanchi Liu, Victor S. Sheng
2023 J jnl
Meta-optimized Joint Generative and Contrastive Learning for Sequential Recommendation.
CoRR
Yongjing Hao, Pengpeng Zhao, Junhua Fang, Jianfeng Qu, Guanfeng Liu, Fuzhen Zhuang, Victor S. Sheng, Xiaofang Zhou
2023 J jnl
Mitigate Gender Bias Using Negative Multi-task Learning.
Neural Process. Lett.
Liyuan Gao, Huixin Zhan, Victor S. Sheng
2023 J jnl
Multi-dimensional Graph Neural Network for Sequential Recommendation.
Pattern Recognit.
Yongjing Hao, Jun Ma, Pengpeng Zhao, Guanfeng Liu, Xuefeng Xian, Lei Zhao, Victor S. Sheng
2023 B conf
Neurosymbolic Knowledge Distillation.
IEEE Big Data
Himel Das Gupta, Victor S. Sheng
2023 B conf
OLR-WA: Online Weighted Average Linear Regression in Multivariate Data Streams.
IEEE Big Data
Mohammad Abu-Shaira, Alejandro Rodriguez, Greg Speegle, Victor S. Sheng, Ishfaq Ahmad
2023 J jnl
Overview of RGBD semantic segmentation based on deep learning.
J. Ambient Intell. Humaniz. Comput.
Hongyan Zhang, Victor S. Sheng, Xuefeng Xi, Zhiming Cui, Huan Rong
2023 A* conf
Privacy-Preserving Representation Learning for Text-Attributed Networks with Simplicial Complexes.
AAAI
Huixin Zhan, Victor S. Sheng
2023 J jnl
Privacy-Preserving Representation Learning for Text-Attributed Networks with Simplicial Complexes.
CoRR
Huixin Zhan, Victor S. Sheng
2023 J jnl
Quaternion-based graph convolution network for recommendation.
World Wide Web (WWW)
Yaxing Fang, Pengpeng Zhao, Guanfeng Liu, Yanchi Liu, Victor S. Sheng, Lei Zhao, Xiaofang Zhou
2023 J jnl
RTUNet: Residual transformer UNet specifically for pancreas segmentation.
Biomed. Signal Process. Control.
Cheng-Jian Qiu, Zhe Liu, Yuqing Song, Jing Yin, Kai Han, Yan Zhu, Yi Liu, Victor S. Sheng
2023 J jnl
Randomly Wired Graph Neural Network for Chinese NER.
Expert Syst. Appl.
Jie Chen, Xuefeng Xi, Victor S. Sheng, Zhiming Cui
2023 J jnl
STUNNER: Radar Echo Extrapolation Model Based on Spatiotemporal Fusion Neural Network.
IEEE Trans. Geosci. Remote. Sens.
Wei Fang, Lin Pang, Victor S. Sheng, Qiguang Wang
2023 — conf
Sample Selection Based on Uncertainty for Combating Label Noise.
ICONIP (9)
Shuohui Hao, Zhe Liu, Yuqing Song, Yi Liu, Kai Han, Victor S. Sheng, Yan Zhu
2023 J jnl
Security and privacy issues in blockchain and its applications.
IET Blockchain
Liangmin Wang, Victor S. Sheng, Boris Düdder, Haiqin Wu, Huijuan Zhu
2023 A* conf
Sequential Recommendation with Probabilistic Logical Reasoning.
IJCAI
Huanhuan Yuan, Pengpeng Zhao, Xuefeng Xian, Guanfeng Liu, Yanchi Liu, Victor S. Sheng, Lei Zhao
2023 J jnl
Sequential Recommendation with Probabilistic Logical Reasoning.
CoRR
Huanhuan Yuan, Pengpeng Zhao, Xuefeng Xian, Guanfeng Liu, Yanchi Liu, Victor S. Sheng, Lei Zhao
2023 J jnl
Short Text Topic Learning Using Heterogeneous Information Network.
IEEE Trans. Knowl. Data Eng.
Qingren Wang, Chengcheng Zhu, Yiwen Zhang, Hong Zhong, Jinqin Zhong, Victor S. Sheng
2023 A conf
Simplex2vec Backward: From Vectors Back to Simplicial Complex.
CIKM
Huixin Zhan, Kun Zhang, Zhong Chen, Victor S. Sheng
2023 A* conf
Towards Fair and Selectively Privacy-Preserving Models Using Negative Multi-Task Learning (Student Abstract).
AAAI
Liyuan Gao, Huixin Zhan, Austin Chen, Victor S. Sheng
2022 J jnl
A Hybrid Deep Network Framework for Android Malware Detection.
IEEE Trans. Knowl. Data Eng.
Huijuan Zhu, Liang-Min Wang, Sheng Zhong, Yang Li, Victor S. Sheng
2022 J jnl
A MBGD enhancement method for imbalance smoothing.
Multim. Tools Appl.
Xusheng Ai, Victor S. Sheng, Chunhua Li
2022 J jnl
A New Method of Image Restoration Technology Based on WGAN.
Comput. Syst. Sci. Eng.
Wei Fang, Enming Gu, Weinan Yi, Weiqing Wang, Victor S. Sheng
2022 J jnl
A Novel Energy-Efficient, Static Scenario-Oriented Routing Method of Wireless Sensor Network Based on Edge Computing.
Wirel. Commun. Mob. Comput.
Gang Liu, Zhaobin Liu, Victor S. Sheng, Liang Zhang, Yuanfeng Yang
2022 J jnl
A Roadmap to Domain Knowledge Integration in Machine Learning.
CoRR
Himel Das Gupta, Victor S. Sheng
2022 J jnl
A Self-Play and Sentiment-Emphasized Comment Integration Framework Based on Deep Q-Learning in a Crowdsourcing Scenario.
IEEE Trans. Knowl. Data Eng.
Huan Rong, Victor S. Sheng, Tinghuai Ma, Yang Zhou, Mznah Al-Rodhaan
2022 — conf
A Survey of Consensus Mechanism Based on Reputation Model.
ICAIS (3)
Yuanshen Li, Jieren Cheng, Hui Li, Yuming Yuan, Victor S. Sheng
2022 — conf
A Survey of Deep Learning for Named Entity Recognition in Chinese Social Media.
ICAIS (1)
Jingxin Liu, Jieren Cheng, Ziyan Wang, Congqiang Lou, Chenli Shen, Victor S. Sheng
2022 — conf
A Survey of Multi-label Text Classification Based on Deep Learning.
ICAIS (1)
Xiaolong Chen, Jieren Cheng, Jingxin Liu, Wenghang Xu, Shuai Hua, Zhu Tang, Victor S. Sheng
2022 — conf
Anomaly Detection in Crowdsourced Work with Interval-Valued Labels.
IPMU (1)
Makenzie Spurling, Chenyi Hu, Huixin Zhan, Victor S. Sheng
2022 — ed.
Big Data and Security - Third International Conference, ICBDS 2021, Shenzhen, China, November 26-28, 2021, Proceedings
ICBDS
Yuan Tian, Tinghuai Ma, Muhammad Khurram Khan, Victor S. Sheng, Zhaoqing Pan
2022 J jnl
Bipartite network embedding with Symmetric Neighborhood Convolution.
Expert Syst. Appl.
Cangqi Zhou, Jing Zhang, Kaisheng Gao, Qianmu Li, Dianming Hu, Victor S. Sheng
2022 J jnl
Cascaded-Hop For DeepFake Videos Detection.
KSII Trans. Internet Inf. Syst.
Dengyong Zhang, Pengjie Wu, Feng Li, Wenjie Zhu, Victor S. Sheng
2022 J jnl
Class-attention Video Transformer for Engagement Intensity Prediction.
CoRR
Xusheng Ai, Victor S. Sheng, Chunhua Li
2022 B conf
Click is Not Equal to Purchase: Multi-task Reinforcement Learning for Multi-behavior Recommendation.
WISE
Huiwang Zhang, Pengpeng Zhao, Xuefeng Xian, Victor S. Sheng, Yongjing Hao, Zhiming Cui
2022 A conf
Contrastive Learning with Bidirectional Transformers for Sequential Recommendation.
CIKM
Hanwen Du, Hui Shi, Pengpeng Zhao, Deqing Wang, Victor S. Sheng, Yanchi Liu, Guanfeng Liu, Lei Zhao
2022 J jnl
Contrastive Learning with Bidirectional Transformers for Sequential Recommendation.
CoRR
Hanwen Du, Hui Shi, Pengpeng Zhao, Deqing Wang, Victor S. Sheng, Yanchi Liu, Guanfeng Liu, Lei Zhao
2022 J jnl
Guest Editorial: Reliability and Security for Intelligent Wireless Sensing and Control Systems.
IEEE Trans. Ind. Informatics
Lei Shu, Gerhard P. Hancke, Victor S. Sheng, Liangmin Wang
2022 — conf
HUSS: A Heuristic Method for Understanding the Semantic Structure of Spreadsheets.
ICKG
Xindong Wu, Hao Chen, Chenyang Bu, Shengwei Ji, Zan Zhang, Victor S. Sheng
2022 B conf
Help from Meta-Path: Node and Meta-Path Contrastive Learning for Recommender Systems.
IJCNN
Mingyuan Huang, Pengpeng Zhao, Xuefeng Xian, Jianfeng Qu, Guanfeng Liu, Yanchi Liu, Victor S. Sheng
2022 J jnl
Homophily-aware correction framework for crowdsourced labels using heterogeneous information network.
Expert Syst. Appl.
Qingren Wang, Jian Lu, Wei Li, Jing Zhang, Victor S. Sheng
2022 J jnl
Image Inpainting Detection Based on High-Pass Filter Attention Network.
Comput. Syst. Sci. Eng.
Can Xiao, Feng Li, Dengyong Zhang, Pu Huang, Xiangling Ding, Victor S. Sheng
2022 — conf
IoT Data Blockchain-Based Transaction Model Using Zero-Knowledge Proofs and Proxy Re-encryption.
ICAIS (2)
Hao Guo, Jieren Cheng, Janghao Wang, Tao Chen, Yuming Yuan, Hui Li, Victor S. Sheng
2022 J jnl
Knowledge Distillation via Weighted Ensemble of Teaching Assistants.
CoRR
Durga Prasad Ganta, Himel Das Gupta, Victor S. Sheng
2022 J jnl
Learnable Model Augmentation Self-Supervised Learning for Sequential Recommendation.
CoRR
Yongjing Hao, Pengpeng Zhao, Xuefeng Xian, Guanfeng Liu, Deqing Wang, Lei Zhao, Yanchi Liu, Victor S. Sheng
2022 J jnl
Location-based deep factorization machine model for service recommendation.
Appl. Intell.
Qingren Wang, Min Zhang, Yiwen Zhang, Jinqin Zhong, Victor S. Sheng
2022 J jnl
MSFM: Multi-view Semantic Feature Fusion Model for Chinese Named Entity Recognition.
KSII Trans. Internet Inf. Syst.
Jingxin Liu, Jieren Cheng, Xin Peng, Zeli Zhao, Xiangyan Tang, Victor S. Sheng
2022 J jnl
Movie Recommendation Algorithm Based on Ensemble Learning.
Intell. Autom. Soft Comput.
Wei Fang, Yu Sha, Meihan Qi, Victor S. Sheng
2022 — conf
New Threats to Privacy-preserving Text Representations.
HICSS
Huixin Zhan, Kun Zhang, Chenyi Hu, Victor S. Sheng
2022 J jnl
Pancreas Co-segmentation based on dynamic ROI extraction and VGGU-Net.
Expert Syst. Appl.
Zhe Liu, Jun Su, Ruihao Wang, Rui Jiang, Yu-Qing Song, Dengyong Zhang, Yan Zhu, Deqi Yuan, Qingsong Gan, Victor S. Sheng
2022 A* conf
Projection Dual Averaging Based Second-order Online Learning.
ICDM
Zhong Chen, Huixin Zhan, Victor S. Sheng, Andrea Edwards, Kun Zhang
2022 B conf
Proximal Cost-sensitive Sparse Group Online Learning.
IEEE Big Data
Zhong Chen, Huixin Zhan, Victor S. Sheng, Andrea Edwards, Kun Zhang
2022 B conf
Quaternion-Based Graph Contrastive Learning for Recommendation.
IJCNN
Yaxing Fang, Pengpeng Zhao, Xuefeng Xian, Junhua Fang, Guanfeng Liu, Yanchi Liu, Victor S. Sheng
2022 — conf
Self-guided Contrastive Learning for Sequential Recommendation.
APWeb/WAIM (3)
Hui Shi, Hanwen Du, Yongjing Hao, Victor S. Sheng, Zhiming Cui, Pengpeng Zhao
2022 J jnl
Study of cross-domain person re-identification based on DCGAN.
Multim. Tools Appl.
Wei Fang, Weinan Yi, Lin Pang, Victor S. Sheng
2022 — conf
Towards Explainable Summary of Crowdsourced Reviews Through Text Mining.
IPMU (1)
Aaron Moody, Chenyi Hu, Huixin Zhan, Makenzie Spurling, Victor S. Sheng
2022 J jnl
Where to Go Next: A Spatio-Temporal Gated Network for Next POI Recommendation.
IEEE Trans. Knowl. Data Eng.
Pengpeng Zhao, Anjing Luo, Yanchi Liu, Jiajie Xu, Zhixu Li, Fuzhen Zhuang, Victor S. Sheng, Xiaofang Zhou
2021 — conf
A Review of Publicly Patient-Centered Alzheimer's disease datasets.
CSCI
Rui Wang, Chwan-Li Shen, Victor S. Sheng, Heng Wu, Zackery Toler, Samuel Temesgen
2021 J jnl
A review of Chinese named entity recognition.
KSII Trans. Internet Inf. Syst.
Jieren Cheng, Jingxin Liu, Xinbin Xu, Dongwan Xia, Le Liu, Victor S. Sheng
2021 — conf
Abstractive Text Summarization via Stacked LSTM
CSCI
Ireddy Siddhartha, Huixin Zhan, Victor S. Sheng
2021 J jnl
Adaptive robust local online density estimation for streaming data.
Int. J. Mach. Learn. Cybern.
Zhong Chen, Zhide Fang, Victor S. Sheng, Jiabin Zhao, Wei Fan, Andrea Edwards, Kun Zhang
2021 J jnl
AttEF: Convolutional LSTM Encoder-Forecaster with Attention Module for Precipitation Nowcasting.
Intell. Autom. Soft Comput.
Wei Fang, Lin Pang, Weinan Yi, Victor S. Sheng
2021 J jnl
Automatic liver segmentation from abdominal CT volumes using improved convolution neural networks.
Multim. Syst.
Zhe Liu, Kai Han, Zhaohui Wang, Jing Zhang, Yuqing Song, Xu Yao, Deqi Yuan, Victor S. Sheng
2021 — conf
CSRDA: Cost-sensitive Regularized Dual Averaging for Handling Imbalanced and High-dimensional Streaming Data.
ICBK
Zhong Chen, Zhide Fang, Victor S. Sheng, Andrea Edwards, Kun Zhang
2021 J jnl
CT Segmentation of Liver and Tumors Fused Multi-Scale Features.
Intell. Autom. Soft Comput.
Aihong Yu, Zhe Liu, Victor S. Sheng, Yuqing Song, Xuesheng Liu, Chongya Ma, Wenqiang Wang, Cong Ma
2021 — conf
Considering Interaction Sequence of Historical Items for Conversational Recommender System.
DASFAA (3)
Xintao Tian, Yongjing Hao, Pengpeng Zhao, Deqing Wang, Yanchi Liu, Victor S. Sheng
2021 J jnl
DV-Net: Accurate liver vessel segmentation via dense connection model with D-BCE loss function.
Knowl. Based Syst.
Jun Su, Zhe Liu, Jing Zhang, Victor S. Sheng, Yuqing Song, Yan Zhu, Yi Liu
2021 J jnl
Edge-Enhanced Global Disentangled Graph Neural Network for Sequential Recommendation.
CoRR
Yunyi Li, Pengpeng Zhao, Guanfeng Liu, Yanchi Liu, Victor S. Sheng, Jiajie Xu, Xiaofang Zhou
2021 — conf
Estimating crowd-worker's reliability with interval-valued labels to improve the quality of crowdsourced work.
SSCI
Makenzie Spurling, Chenyi Hu, Huixin Zhan, Victor S. Sheng
2021 — conf
Exploiting Intra and Inter-field Feature Interaction with Self-Attentive Network for CTR Prediction.
WISE (2)
Shenghao Zheng, Xuefeng Xian, Yongjing Hao, Victor S. Sheng, Zhiming Cui, Pengpeng Zhao
2021 — conf
Gated Graph Neural Networks (GG-NNs) for Abstractive Multi-Comment Summarization.
ICBK
Huixin Zhan, Kun Zhang, Chenyi Hu, Victor S. Sheng
2021 B conf
HGATs: hierarchical graph attention networks for multiple comments integration.
ASONAM
Huixin Zhan, Kun Zhang, Chenyi Hu, Victor S. Sheng
2021 C conf
K
ACML
Huixin Zhan, Kun Zhang, Chenyi Hu, Victor S. Sheng
2021 — conf
Knowledge Distillation via Weighted Ensemble of Teaching Assistants.
ICBK
Durga Prasad Ganta, Himel Das Gupta, Victor S. Sheng
2021 — conf
Knowledge-Aware Hypergraph Neural Network for Recommender Systems.
DASFAA (3)
Binghao Liu, Pengpeng Zhao, Fuzhen Zhuang, Xuefeng Xian, Yanchi Liu, Victor S. Sheng
2021 — conf
Learning Disentangled User Representation Based on Controllable VAE for Recommendation.
DASFAA (3)
Yunyi Li, Pengpeng Zhao, Deqing Wang, Xuefeng Xian, Yanchi Liu, Victor S. Sheng
2021 J jnl
Location-Aware Service Recommendations With Privacy-Preservation in the Internet of Things.
IEEE Trans. Comput. Soc. Syst.
Wenmin Lin, Xuyun Zhang, Lianyong Qi, Weimin Li, Shancang Li, Victor S. Sheng, Surya Nepal
2021 J jnl
Long- and short-term self-attention network for sequential recommendation.
Neurocomputing
Chengfeng Xu, Jian Feng, Pengpeng Zhao, Fuzhen Zhuang, Deqing Wang, Yanchi Liu, Victor S. Sheng
2021 — conf
MGSAN: A Multi-granularity Self-attention Network for Next POI Recommendation.
WISE (2)
Yepeng Li, Xuefeng Xian, Pengpeng Zhao, Yanchi Liu, Victor S. Sheng
2021 J jnl
MLANet: Multi-Layer Anchor-free Network for generic lesion detection.
Eng. Appl. Artif. Intell.
Zhe Liu, Xi Xie, Yuqing Song, Yang Zhang, Xuesheng Liu, Jiawen Zhang, Victor S. Sheng
2021 — conf
Managing Uncertainty in Crowdsourcing with Interval-Valued Labels.
NAFIPS
Chenyi Hu, Victor S. Sheng, Ningning Wu, Xintao Wu
2021 J jnl
Multi-Label Active Learning Algorithms for Image Classification: Overview and Future Promise.
ACM Comput. Surv.
Jian Wu, Victor S. Sheng, Jing Zhang, Hua Li, Tetiana Dadakova, Christine Leon Swisher, Zhiming Cui, Pengpeng Zhao
2021 J jnl
Multi-label graph node classification with label attentive neighborhood convolution.
Expert Syst. Appl.
Cangqi Zhou, Hui Chen, Jing Zhang, Qianmu Li, Dianming Hu, Victor S. Sheng
2021 A conf
Multi-objective Privacy-preserving Text Representation Learning.
CIKM
Huixin Zhan, Kun Zhang, Chenyi Hu, Victor S. Sheng
2021 J jnl
Multilevel Identification and Classification Analysis of Tor on Mobile and PC Platforms.
IEEE Trans. Ind. Informatics
Liangmin Wang, Hantao Mei, Victor S. Sheng
2021 J jnl
Photo2Trip: Exploiting Visual Contents in Geo-Tagged Photos for Personalized Tour Recommendation.
IEEE Trans. Knowl. Data Eng.
Pengpeng Zhao, Chengfeng Xu, Yanchi Liu, Victor S. Sheng, Kai Zheng, Hui Xiong, Xiaofang Zhou
2021 J jnl
Quaternion-Based Graph Convolution Network for Recommendation.
CoRR
Yaxing Fang, Pengpeng Zhao, Guanfeng Liu, Yanchi Liu, Victor S. Sheng, Lei Zhao, Xiaofang Zhou
2021 J jnl
Reinforcement learning-based register renaming policy for simultaneous multithreading CPUs.
Expert Syst. Appl.
Huixin Zhan, Victor S. Sheng, Wei-Ming Lin
2021 A* conf
Robust Network Alignment via Attack Signal Scaling and Adversarial Perturbation Elimination.
WWW
Yang Zhou, Zeru Zhang, Sixing Wu, Victor S. Sheng, Xiaoying Han, Zijie Zhang, Ruoming Jin
2021 J jnl
SCENT: A new precipitation nowcasting method based on sparse correspondence and deep neural network.
Neurocomputing
Wei Fang, Feihong Zhang, Victor S. Sheng, Yewen Ding
2021 — conf
SaliencyBERT: Recurrent Attention Network for Target-Oriented Multimodal Sentiment Classification.
PRCV (3)
Jiawei Wang, Zhe Liu, Victor S. Sheng, Yuqing Song, Chenjian Qiu
2021 J jnl
SemicNet: a semicircular network for the segmentation of the liver and its lesions.
Int. J. Sens. Networks
Zhihua Zheng, Victor S. Sheng, Lei Wang, Zhi Li, Xue-Feng Xi, Zhiming Cui
2021 — conf
Tell Me Where to Go Next: Improving POI Recommendation via Conversation.
DASFAA (3)
Changheng Li, Yongjing Hao, Pengpeng Zhao, Fuzhen Zhuang, Yanchi Liu, Victor S. Sheng
2021 A* conf
Variational Self-attention Network for Sequential Recommendation.
ICDE
Jing Zhao, Pengpeng Zhao, Lei Zhao, Yanchi Liu, Victor S. Sheng, Xiaofang Zhou
2020 — ed.
20th International Conference on Data Mining Workshops, ICDM Workshops 2020, Sorrento, Italy, November 17-20, 2020
ICDM (Workshops)
Giuseppe Di Fatta, Victor S. Sheng, Alfredo Cuzzocrea, Carlo Zaniolo, Xindong Wu
2020 — conf
A Roadmap to Domain Knowledge Integration in Machine Learning.
ICKG
Himel Das Gupta, Victor S. Sheng
2020 — conf
A Simple Ensemble Learning Knowledge Distillation.
MLIS
Himel Das Gupta, Kun Zhang, Victor S. Sheng
2020 J jnl
A novel privacy-preserving speech recognition framework using bidirectional LSTM.
J. Cloud Comput.
Qingren Wang, Chuankai Feng, Yan Xu, Hong Zhong, Victor S. Sheng
2020 J jnl
A real-time typhoon eye detection method based on deep learning for meteorological information forensics.
J. Real Time Image Process.
Liling Zhao, Yifei Chen, Victor S. Sheng
2020 J jnl
An optimal model with a lower bound of recall for imbalanced speech emotion recognition.
Multim. Tools Appl.
Xusheng Ai, Victor S. Sheng, Wei Fang, Charles X. Ling
2020 B conf
BeSober: Assisting relapse prevention in Alcohol Addiction using a novel mobile app-based intervention.
ASONAM
Vinay Jayachandra Reddy, Rashmi Kesidi, Zhou Yang, Chen Zhang, Zhenhe Pan, Victor S. Sheng, Fang Jin
2020 J jnl
Cascade U-ResNets for Simultaneous Liver and Lesion Segmentation.
IEEE Access
Xue-Feng Xi, Lei Wang, Victor S. Sheng, Zhiming Cui, Baochuan Fu, Fuyuan Hu
2020 J jnl
Classification on grade, price, and region with multi-label and multi-target methods in wineinformatics.
Big Data Min. Anal.
James Palmer, Victor S. Sheng, Travis Atkison, Bernard Chen
2020 J jnl
Coarse to Fine: Multi-label Image Classification with Global/Local Attention.
CoRR
Fan Lyu, Fuyuan Hu, Victor S. Sheng, Zhengtian Wu, Qiming Fu, Baochuan Fu
2020 A* conf
Collaborative Self-Attention Network for Session-based Recommendation.
IJCAI
Anjing Luo, Pengpeng Zhao, Yanchi Liu, Fuzhen Zhuang, Deqing Wang, Jiajie Xu, Junhua Fang, Victor S. Sheng
2020 — conf
Cross-Domain Recommendation with Adversarial Examples.
DASFAA (3)
Haoran Yan, Pengpeng Zhao, Fuzhen Zhuang, Deqing Wang, Yanchi Liu, Victor S. Sheng
2020 J jnl
Data-driven pollution source location algorithm in water quality monitoring sensor networks.
Int. J. Bio Inspired Comput.
Xuesong Yan, Chengyu Hu, Victor S. Sheng
2020 J jnl
Ensemble Learning With Attention-Integrated Convolutional Recurrent Neural Network for Imbalanced Speech Emotion Recognition.
IEEE Access
Xusheng Ai, Victor S. Sheng, Wei Fang, Charles X. Ling, Chunhua Li
2020 A* conf
Exploiting Aesthetic Preference in Deep Cross Networks for Cross-domain Recommendation.
WWW
Jian Liu, Pengpeng Zhao, Fuzhen Zhuang, Yanchi Liu, Victor S. Sheng, Jiajie Xu, Xiaofang Zhou, Hui Xiong
2020 — conf
Fruited-Forest: A Reachability Querying Method Based on Spanning Tree Modelling of Reduced DAG.
APWeb/WAIM (1)
Liu Yang, Tingxuan Chen, Junyu Zhang, Jun Long, Zhigang Hu, Victor S. Sheng
2020 — conf
Hierarchical Variational Attention for Sequential Recommendation.
DASFAA (3)
Jing Zhao, Pengpeng Zhao, Yanchi Liu, Victor S. Sheng, Zhixu Li, Lei Zhao
2020 A* conf
Interactive Learning with Proactive Cognition Enhancement for Crowd Workers.
AAAI
Jing Zhang, Huihui Wang, Shunmei Meng, Victor S. Sheng
2020 — conf
Knowledge Graph Attention Network Enhanced Sequential Recommendation.
APWeb/WAIM (1)
Xingwei Zhu, Pengpeng Zhao, Jiajie Xu, Junhua Fang, Lei Zhao, Xuefeng Xian, Zhiming Cui, Victor S. Sheng
2020 J jnl
Labelling Training Samples Using Crowdsourcing Annotation for Recommendation.
Complex.
Qingren Wang, Min Zhang, Tao Tao, Victor S. Sheng
2020 J jnl
Loss Functions of Generative Adversarial Networks (GANs): Opportunities and Challenges.
IEEE Trans. Emerg. Top. Comput. Intell.
Zhaoqing Pan, Weijie Yu, Bosi Wang, Haoran Xie, Victor S. Sheng, Jianjun Lei, Sam Kwong
2020 — conf
Modeling Periodic Pattern with Self-Attention Network for Sequential Recommendation.
DASFAA (3)
Jun Ma, Pengpeng Zhao, Yanchi Liu, Victor S. Sheng, Jiajie Xu, Lei Zhao
2020 J jnl
Multiclass imbalanced learning with one-versus-one decomposition and spectral clustering.
Expert Syst. Appl.
Qianmu Li, Yanjun Song, Jing Zhang, Victor S. Sheng
2020 J jnl
Near real-time topic-driven rumor detection in source microblogs.
Knowl. Based Syst.
Fan Xu, Victor S. Sheng, Mingwen Wang
2020 A* conf
Semi-Supervised Multi-Label Learning from Crowds via Deep Sequential Generative Model.
KDD
Wanli Shi, Victor S. Sheng, Xiang Li, Bin Gu
2020 — conf
Spatio-Temporal Self-Attention Network for Next POI Recommendation.
APWeb/WAIM (1)
Jiacheng Ni, Pengpeng Zhao, Jiajie Xu, Junhua Fang, Zhixu Li, Xuefeng Xian, Zhiming Cui, Victor S. Sheng
2020 — conf
The IEEE ICDM 2020 Workshops.
ICDM (Workshops)
Giuseppe Di Fatta, Victor S. Sheng, Alfredo Cuzzocrea
2020 — conf
Vector-Level and Bit-Level Feature Adjusted Factorization Machine for Sparse Prediction.
DASFAA (1)
Yanghong Wu, Pengpeng Zhao, Yanchi Liu, Victor S. Sheng, Junhua Fang, Fuzhen Zhuang
2019 B conf
A Centralized Energy-Efficient Wireless Sensor Network Routing Protocol for the Static Sensor Nodes.
EWSN
Gang Liu, Zhaobin Liu, Victor S. Sheng, Liang Zhang, Yuanfeng Yang
2019 J jnl
A Novel DDoS Attack Detection Method Using Optimized Generalized Multiple Kernel Learning.
CoRR
Jieren Cheng, Junqi Li, Xiangyan Tang, Victor S. Sheng, Chen Zhang, Mengyang Li
2019 — conf
AdaCML: Adaptive Collaborative Metric Learning for Recommendation.
DASFAA (2)
Tingting Zhang, Pengpeng Zhao, Yanchi Liu, Jiajie Xu, Junhua Fang, Lei Zhao, Victor S. Sheng, Zhiming Cui
2019 — conf
Adaptive Attention-Aware Gated Recurrent Unit for Sequential Recommendation.
DASFAA (2)
Anjing Luo, Pengpeng Zhao, Yanchi Liu, Jiajie Xu, Zhixu Li, Lei Zhao, Victor S. Sheng, Zhiming Cui
2019 J jnl
Adaptive DDoS attack detection method based on multiple-kernel learning.
CoRR
Jieren Cheng, Chen Zhang, Xiangyan Tang, Victor S. Sheng, Zhe Dong, Junqi Li, Jing Chen
2019 — conf
Attention and Convolution Enhanced Memory Network for Sequential Recommendation.
DASFAA (2)
Jian Liu, Pengpeng Zhao, Yanchi Liu, Jiajie Xu, Junhua Fang, Lei Zhao, Victor S. Sheng, Zhiming Cui
2019 J jnl
Corrigendum to "Flow Correlation Degree Optimization Driven Random Forest for Detecting DDoS Attacks in Cloud Computing".
Secur. Commun. Networks
Jieren Cheng, Mengyang Li, Xiangyan Tang, Victor S. Sheng, Yifu Liu, Wei Guo
2019 J jnl
Crowdsourced Label Aggregation Using Bilayer Collaborative Clustering.
IEEE Trans. Neural Networks Learn. Syst.
Jing Zhang, Victor S. Sheng, Jian Wu
2019 J jnl
DOG: A new background removal for object recognition from images.
Neurocomputing
Wei Fang, Yewen Ding, Feihong Zhang, Victor S. Sheng
2019 J jnl
Deep Cross Networks with Aesthetic Preference for Cross-domain Recommendation.
CoRR
Jian Liu, Pengpeng Zhao, Yanchi Liu, Victor S. Sheng, Fuzhen Zhuang, Jiajie Xu, Xiaofang Zhou, Hui Xiong
2019 J jnl
Ensemble Learning from Crowds.
IEEE Trans. Knowl. Data Eng.
Jing Zhang, Ming Wu, Victor S. Sheng
2019 J jnl
Exploiting Aesthetic Features in Visual Contents for Movie Recommendation.
IEEE Access
Xiaojie Chen, Pengpeng Zhao, Yanchi Liu, Lei Zhao, Junhua Fang, Victor S. Sheng, Zhiming Cui
2019 A* conf
Feature-level Deeper Self-Attention Network for Sequential Recommendation.
IJCAI
Tingting Zhang, Pengpeng Zhao, Yanchi Liu, Victor S. Sheng, Jiajie Xu, Deqing Wang, Guanfeng Liu, Xiaofang Zhou
2019 J jnl
Fog-enabled Event Processing Based on IoT Resource Models.
IEEE Trans. Knowl. Data Eng.
Yang Zhang, Victor S. Sheng
2019 A* conf
Graph Contextualized Self-Attention Network for Session-based Recommendation.
IJCAI
Chengfeng Xu, Pengpeng Zhao, Yanchi Liu, Victor S. Sheng, Jiajie Xu, Fuzhen Zhuang, Junhua Fang, Xiaofang Zhou
2019 J jnl
Inter-Basket and Intra-Basket Adaptive Attention Network for Next Basket Recommendation.
IEEE Access
Binbin Che, Pengpeng Zhao, Junhua Fang, Lei Zhao, Victor S. Sheng, Zhiming Cui
2019 B conf
Interaction Graph Neural Network for News Recommendation.
WISE
Yongye Qian, Pengpeng Zhao, Zhixu Li, Junhua Fang, Lei Zhao, Victor S. Sheng, Zhiming Cui
2019 J jnl
Liver CT sequence segmentation based with improved U-Net and graph cut.
Expert Syst. Appl.
Zhe Liu, Yu-Qing Song, Victor S. Sheng, Liangmin Wang, Rui Jiang, Xiaolin Zhang, Deqi Yuan
2019 J jnl
MRI and PET image fusion using the nonparametric density model and the theory of variable-weight.
Comput. Methods Programs Biomed.
Zhe Liu, Yuqing Song, Victor S. Sheng, Chunyan Xu, Charlie Maere, Kaifeng Xue, Kai Yang
2019 J jnl
Machine Learning for Wireless Multimedia Data Security.
Secur. Commun. Networks
Zhaoqing Pan, Ching-Nung Yang, Victor S. Sheng, Naixue Xiong, Weizhi Meng
2019 A* conf
Machine Learning with Crowdsourcing: A Brief Summary of the Past Research and Future Directions.
AAAI
Victor S. Sheng, Jing Zhang
2019 J jnl
Majority Voting and Pairing with Multiple Noisy Labeling.
IEEE Trans. Knowl. Data Eng.
Victor S. Sheng, Jing Zhang, Bin Gu, Xindong Wu
2019 A* conf
Recurrent Convolutional Neural Network for Sequential Recommendation.
WWW
Chengfeng Xu, Pengpeng Zhao, Yanchi Liu, Jiajie Xu, Victor S. Sheng, Zhiming Cui, Xiaofang Zhou, Hui Xiong
2019 J jnl
Security cooperation model based on topology control and time synchronization for wireless sensor networks.
J. Commun. Networks
Zhaobin Liu, Wenzhi Liu, Qiang Ma, Gang Liu, Liang Zhang, Ligang Fang, Victor S. Sheng
2019 J jnl
Texture Feature Extraction from Thyroid MR Imaging Using High-Order Derived Mean CLBP.
J. Comput. Sci. Technol.
Zhe Liu, Cheng-Jian Qiu, Yu-Qing Song, Xiaohong Liu, Juan Wang, Victor S. Sheng
2019 A* conf
Where to Go Next: A Spatio-Temporal Gated Network for Next POI Recommendation.
AAAI
Pengpeng Zhao, Haifeng Zhu, Yanchi Liu, Jiajie Xu, Zhixu Li, Fuzhen Zhuang, Victor S. Sheng, Xiaofang Zhou
2018 J jnl
A Generative Model Approach for Geo-Social Group Recommendation.
J. Comput. Sci. Technol.
Pengpeng Zhao, Haifeng Zhu, Yanchi Liu, Ziting Zhou, Zhixu Li, Jia-Jie Xu, Lei Zhao, Victor S. Sheng
2018 J jnl
A Solution Path Algorithm for General Parametric Quadratic Programming Problem.
IEEE Trans. Neural Networks Learn. Syst.
Bin Gu, Victor S. Sheng
2018 J jnl
Access Control Model Based on Time Synchronization Trust in Wireless Sensor Networks.
Sensors
Zhaobin Liu, Qiang Ma, Wenzhi Liu, Victor S. Sheng, Liang Zhang, Gang Liu
2018 J jnl
Adaptive DDoS Attack Detection Method Based on Multiple-Kernel Learning.
Secur. Commun. Networks
Jieren Cheng, Chen Zhang, Xiangyan Tang, Victor S. Sheng, Zhe Dong, Junqi Li
2018 J jnl
An Active Learning Approach for Multi-Label Image Classification with Sample Noise.
Int. J. Pattern Recognit. Artif. Intell.
Jian Wu, Anqian Guo, Victor S. Sheng, Pengpeng Zhao, Zhiming Cui
2018 — conf
An Adaptive Construction Test Method Based on Geometric Calculation for Linearly Separable Problems.
ICCCS (6)
Shuiming Zhong, Xiaoxiang Lu, Meng Li, Chengguang Liu, Yong Cheng, Victor S. Sheng
2018 J jnl
Chunk incremental learning for cost-sensitive hinge loss support vector machine.
Pattern Recognit.
Bin Gu, Xin Quan, Yunhua Gu, Victor S. Sheng, Guansheng Zheng
2018 — conf
Coarse to Fine: Multi-label Image Classification with Global/Local Attention.
ISC2
Fan Lyu, Fuyuan Hu, Victor S. Sheng, Zhengtian Wu, Qiming Fu, Baochuan Fu
2018 J jnl
Document-specific keyphrase candidate search and ranking.
Expert Syst. Appl.
Qingren Wang, Victor S. Sheng, Xindong Wu
2018 J jnl
Efficient sampling methods for characterizing POIs on maps based on road networks.
Frontiers Comput. Sci.
Ziting Zhou, Pengpeng Zhao, Victor S. Sheng, Jiajie Xu, Zhixu Li, Jian Wu, Zhiming Cui
2018 — conf
Exploiting Implicit Social Relationship for Point-of-Interest Recommendation.
APWeb/WAIM (2)
Haifeng Zhu, Pengpeng Zhao, Zhixu Li, Jiajie Xu, Lei Zhao, Victor S. Sheng
2018 J jnl
Exploiting Visual Contents in Posters and Still Frames for Movie Recommendation.
IEEE Access
Xiaojie Chen, Pengpeng Zhao, Jiajie Xu, Zhixu Li, Lei Zhao, Yanchi Liu, Victor S. Sheng, Zhiming Cui
2018 — conf
Exploring Methods of Assessing Influence Relevance of News Articles.
ICCCS (6)
Qingren Wang, Victor S. Sheng, Zhaobin Liu
2018 J jnl
Flow Correlation Degree Optimization Driven Random Forest for Detecting DDoS Attacks in Cloud Computing.
Secur. Commun. Networks
Jieren Cheng, Mengyang Li, Xiangyan Tang, Victor S. Sheng, Yifu Liu, Wei Guo
2018 J jnl
Improving Crowdsourced Label Quality Using Noise Correction.
IEEE Trans. Neural Networks Learn. Syst.
Jing Zhang, Victor S. Sheng, Tao Li, Xindong Wu
2018 J jnl
Learning from crowds with active learning and self-healing.
Neural Comput. Appl.
Zhenyu Shu, Victor S. Sheng, Jingjing Li
2018 J jnl
Sparse regression with output correlation for cardiac ejection fraction estimation.
Inf. Sci.
Bin Gu, Yingying Shan, Victor S. Sheng, Yuhui Zheng, Shuo Li
2018 J jnl
Where to Go Next: A Spatio-temporal LSTM model for Next POI Recommendation.
CoRR
Pengpeng Zhao, Haifeng Zhu, Yanchi Liu, Zhixu Li, Jiajie Xu, Victor S. Sheng
2017 J jnl
A Robust Regularization Path Algorithm for ν-Support Vector Classification.
IEEE Trans. Neural Networks Learn. Syst.
Bin Gu, Victor S. Sheng
2017 J jnl
Active learning with label correlation exploration for multi-label image classification.
IET Comput. Vis.
Jian Wu, Chen Ye, Victor S. Sheng, Jing Zhang, Pengpeng Zhao, Zhiming Cui
2017 A* conf
Adaptive Low-Rank Multi-Label Active Learning for Image Classification.
ACM Multimedia
Jian Wu, Anqian Guo, Victor S. Sheng, Pengpeng Zhao, Zhiming Cui, Hua Li
2017 J jnl
Broaden the minority class space for decision tree induction using antigen-derived detectors.
Knowl. Based Syst.
Xusheng Ai, Jian Wu, Zhiming Cui, Victor S. Sheng
2017 — ch.
Class Imbalance Problem.
Encyclopedia of Machine Learning and Data Mining
Charles X. Ling, Victor S. Sheng
2017 J jnl
Consensus algorithms for biased labeling in crowdsourcing.
Inf. Sci.
Jing Zhang, Victor S. Sheng, Qianmu Li, Jian Wu, Xindong Wu
2017 — ch.
Cost-Sensitive Learning.
Encyclopedia of Machine Learning and Data Mining
Charles X. Ling, Victor S. Sheng
2017 J jnl
Cross Validation Through Two-Dimensional Solution Surface for Cost-Sensitive SVM.
IEEE Trans. Pattern Anal. Mach. Intell.
Bin Gu, Victor S. Sheng, KengYeow Tay, Walter Romano, Shuo Li
2017 A* conf
Exploiting Hierarchical Structures for POI Recommendation.
ICDM
Pengpeng Zhao, Xiefeng Xu, Yanchi Liu, Ziting Zhou, Kai Zheng, Victor S. Sheng, Hui Xiong
2017 — conf
Keyphrase Extraction Using Sequential Pattern Mining and Entropy.
ICBK
Qingren Wang, Victor S. Sheng, Chenyi Hu
2017 A* conf
Keyphrase Extraction with Sequential Pattern Mining.
AAAI
Qingren Wang, Victor S. Sheng, Xindong Wu
2017 A* conf
Label Aggregation for Crowdsourcing with Bi-Layer Clustering.
SIGIR
Jing Zhang, Victor S. Sheng, Tao Li
2017 J jnl
Location-aware publish/subscribe index with complex boolean expressions.
World Wide Web
Pengpeng Zhao, Hanhan Jiang, Jiajie Xu, Victor S. Sheng, Guanfeng Liu, An Liu, Jian Wu, Zhiming Cui
2017 J jnl
Monochromatic and bichromatic ranked reverse boolean spatial keyword nearest neighbors search.
World Wide Web
Pengpeng Zhao, Hailin Fang, Victor S. Sheng, Zhixu Li, Jiajie Xu, Jian Wu, Zhiming Cui
2017 A conf
Multi-label active learning with low-rank mapping for image classification.
ICME
Anqian Guo, Jian Wu, Victor S. Sheng, Pengpeng Zhao, Zhiming Cui
2017 A* conf
Photo2Trip: Exploiting Visual Contents in Geo-tagged Photos for Personalized Tour Recommendation.
ACM Multimedia
Pengpeng Zhao, Xiefeng Xu, Yanchi Liu, Victor S. Sheng, Kai Zheng, Hui Xiong
2017 J jnl
Refining Automatically Extracted Knowledge Bases Using Crowdsourcing.
Comput. Intell. Neurosci.
Chunhua Li, Pengpeng Zhao, Victor S. Sheng, Xuefeng Xian, Jian Wu, Zhiming Cui
2017 — conf
Social Personalized Ranking Embedding for Next POI Recommendation.
WISE (1)
Yan Long, Pengpeng Zhao, Victor S. Sheng, Guanfeng Liu, Jiajie Xu, Jian Wu, Zhiming Cui
2017 J jnl
Structural Minimax Probability Machine.
IEEE Trans. Neural Networks Learn. Syst.
Bin Gu, Xingming Sun, Victor S. Sheng
2017 J jnl
Weak-Labeled Active Learning With Conditional Label Dependence for Multilabel Image Classification.
IEEE Trans. Multim.
Jian Wu, Shiquan Zhao, Victor S. Sheng, Jing Zhang, Chen Ye, Pengpeng Zhao, Zhiming Cui
2016 J jnl
A Double Weighted Naive Bayes with Niching Cultural Algorithm for Multi-Label Classification.
Int. J. Pattern Recognit. Artif. Intell.
Xuesong Yan, Qinghua Wu, Victor S. Sheng
2016 — conf
A Hybrid Machine-Crowdsourcing Approach for Web Table Matching and Cleaning.
WAIM (2)
Chunhua Li, Pengpeng Zhao, Victor S. Sheng, Zhixu Li, Guanfeng Liu, Jian Wu, Zhiming Cui
2016 — conf
An Efficient Location-Aware Top-k Subscription Matching for Publish/Subscribe with Boolean Expressions.
DASFAA (2)
Hanhan Jiang, Pengpeng Zhao, Victor S. Sheng, Jiajie Xu, An Liu, Jian Wu, Zhiming Cui
2016 J jnl
Label noise correction and application in crowdsourcing.
Expert Syst. Appl.
Bryce Nicholson, Victor S. Sheng, Jing Zhang
2016 J jnl
Learning from crowdsourced labeled data: a survey.
Artif. Intell. Rev.
Jing Zhang, Xindong Wu, Victor S. Sheng
2016 J jnl
Multi-Class Ground Truth Inference in Crowdsourcing with Clustering.
IEEE Trans. Knowl. Data Eng.
Jing Zhang, Victor S. Sheng, Jian Wu, Xindong Wu
2016 A conf
Multi-label active learning for image classification with asymmetrical conditional dependence.
ICME
Jian Wu, Shiquan Zhao, Victor S. Sheng, Pengpeng Zhao, Zhiming Cui
2016 J jnl
Noise filtering to improve data and model quality for crowdsourcing.
Knowl. Based Syst.
Chaoqun Li, Victor S. Sheng, Liangxiao Jiang, Hongwei Li
2016 — conf
Social Recommendation Terms: Probabilistic Explanation Optimization.
Monterey Workshop
Jie Liu, Lin Zhang, Victor S. Sheng, Yuanjun Laili
2016 J jnl
Stratification-Based Outlier Detection over the Deep Web.
Comput. Intell. Neurosci.
Xuefeng Xian, Pengpeng Zhao, Victor S. Sheng, Ligang Fang, Caidong Gu, Yuanfeng Yang, Zhiming Cui
2015 — conf
A Double Weighted Naive Bayes for Multi-label Classification.
ISICA
Xuesong Yan, Wei Li, Qinghua Wu, Victor S. Sheng
2015 J jnl
Active Learning With Imbalanced Multiple Noisy Labeling.
IEEE Trans. Cybern.
Jing Zhang, Xindong Wu, Victor S. Sheng
2015 — conf
An Efficient Location-Aware Publish/Subscribe Index with Boolean Expressions.
WISE (1)
Hanhan Jiang, Pengpeng Zhao, Victor S. Sheng, Guanfeng Liu, An Liu, Jian Wu, Zhiming Cui
2015 — conf
Batch Mode Active Learning for Networked Data with Optimal Subset Selection.
WAIM
Haihui Xu, Pengpeng Zhao, Victor S. Sheng, Guanfeng Liu, Lei Zhao, Jian Wu, Zhiming Cui
2015 A conf
Best First Over-Sampling for Multilabel Classification.
CIKM
Xusheng Ai, Jian Wu, Victor S. Sheng, Yufeng Yao, Pengpeng Zhao, Zhiming Cui
2015 A* conf
Bi-Parameter Space Partition for Cost-Sensitive SVM.
IJCAI
Bin Gu, Victor S. Sheng, Shuo Li
2015 J jnl
CEKA: a tool for mining the wisdom of crowds.
J. Mach. Learn. Res.
Jing Zhang, Victor S. Sheng, Bryce Nicholson, Xindong Wu
2015 C conf
EPEMS: An Entity Matching System for E-Commerce Products.
APWeb
Lei Gao, Pengpeng Zhao, Victor S. Sheng, Zhixu Li, An Liu, Jian Wu, Zhiming Cui
2015 — conf
Effective Sampling of Points of Interests on Maps Based on Road Networks.
WAIM
Ziting Zhou, Pengpeng Zhao, Victor S. Sheng, Jiajie Xu, Zhixu Li, Jian Wu, Zhiming Cui
2015 Misc conf
Effective Spatial Keyword Query Processing on Road Networks.
ADC
Hailin Fang, Pengpeng Zhao, Victor S. Sheng, Jian Wu, Jiajie Xu, An Liu, Zhiming Cui
2015 J jnl
Imbalanced Multiple Noisy Labeling.
IEEE Trans. Knowl. Data Eng.
Jing Zhang, Xindong Wu, Victor S. Sheng
2015 — conf
Immune Centroids Over-Sampling Method for Multi-Class Classification.
PAKDD (1)
Xusheng Ai, Jian Wu, Victor S. Sheng, Pengpeng Zhao, Yufeng Yao, Zhiming Cui
2015 J jnl
Immune Centroids Oversampling Method for Binary Classification.
Comput. Intell. Neurosci.
Xusheng Ai, Jian Wu, Victor S. Sheng, Pengpeng Zhao, Zhiming Cui
2015 — conf
Improving Label Accuracy by Filtering Low-Quality Workers in Crowdsourcing.
MICAI (1)
Bryce Nicholson, Victor S. Sheng, Jing Zhang, Zhiheng Wang, Xuefeng Xian
2015 A conf
Improving Label Quality in Crowdsourcing Using Noise Correction.
CIKM
Jing Zhang, Victor S. Sheng, Jian Wu, Xiaoqin Fu, Xindong Wu
2015 J jnl
Incremental Support Vector Learning for Ordinal Regression.
IEEE Trans. Neural Networks Learn. Syst.
Bin Gu, Victor S. Sheng, KengYeow Tay, Walter Romano, Shuo Li
2015 J jnl
Incremental learning for ν-Support Vector Regression.
Neural Networks
Bin Gu, Victor S. Sheng, Zhijie Wang, Derek Ho, Said Osman, Shuo Li
2015 C conf
Integrating Active Learning with Supervision for Crowdsourcing Generalization.
ICMLA
Zhenyu Shu, Victor S. Sheng, Yang Zhang, Dianhong Wang, Jing Zhang, Heng Chen
2015 B conf
Label noise correction methods.
DSAA
Bryce Nicholson, Jing Zhang, Victor S. Sheng, Zhiheng Wang
2015 C conf
Learning from the Crowd with Neural Network.
ICMLA
Jingjing Li, Victor S. Sheng, Zhenyu Shu, Yanxia Cheng, Yuqin Jin, Yuan-feng Yan
2015 B conf
Multi-Label Active Learning with Chi-Square Statistics for Image Classification.
ICMR
Chen Ye, Jian Wu, Victor S. Sheng, Shiquan Zhao, Pengpeng Zhao, Zhiming Cui
2015 B conf
Multi-label active learning with label correlation for image classification.
ICIP
Chen Ye, Jian Wu, Victor S. Sheng, Pengpeng Zhao, Zhiming Cui
2015 B conf
Noise correction of image labeling in crowdsourcing.
ICIP
Bryce Nicholson, Victor S. Sheng, Jing Zhang
2015 — conf
RPCV: Recommend Potential Customers to Vendors in Location-Based Social Network.
WAIM
Yuanliu Liu, Pengpeng Zhao, Victor S. Sheng, Zhixu Li, An Liu, Jian Wu, Zhiming Cui
2015 — conf
Ranked Reverse Boolean Spatial Keyword Nearest Neighbors Search.
WISE (1)
Hailin Fang, Pengpeng Zhao, Victor S. Sheng, Zhixu Li, Jiajie Xu, Jian Wu, Zhiming Cui
2015 — conf
Scalable Top- k Spatial Image Search on Road Networks.
DASFAA (2)
Pengpeng Zhao, Xiaopeng Kuang, Victor S. Sheng, Jiajie Xu, Jian Wu, Zhiming Cui
2015 — conf
Semi-automatic Labeling with Active Learning for Multi-label Image Classification.
PCM (1)
Jian Wu, Chen Ye, Victor S. Sheng, Yufeng Yao, Pengpeng Zhao, Zhiming Cui
2015 Misc conf
TK-SK: Textual-Restricted K Spatial Keyword Query on Road Networks.
ADC
Xiaopeng Kuang, Pengpeng Zhao, Victor S. Sheng, Jian Wu, Zhixu Li, Guanfeng Liu, Zhiming Cui
2015 A* conf
Weak Labeled Multi-Label Active Learning for Image Classification.
ACM Multimedia
Shiquan Zhao, Jian Wu, Victor S. Sheng, Chen Ye, Pengpeng Zhao, Zhiming Cui
2014 J jnl
Cost-sensitive learning for defect escalation.
Knowl. Based Syst.
Victor S. Sheng, Bin Gu, Wei Fang, Jian Wu
2014 B conf
Multi-label active learning for image classification.
ICIP
Jian Wu, Victor S. Sheng, Jing Zhang, Pengpeng Zhao, Zhiming Cui
2014 J jnl
Repeated labeling using multiple noisy labelers.
Data Min. Knowl. Discov.
Panagiotis G. Ipeirotis, Foster J. Provost, Victor S. Sheng, Jing Wang
2013 A* conf
A Study on Multi-label Classification.
ICDM
Clifford A. Tawiah, Victor S. Sheng
2013 J jnl
A hybrid intelligent data classification algorithm.
Int. J. Wirel. Mob. Comput.
Xuesong Yan, Wenjing Luo, Qinghua Wu, Victor S. Sheng
2013 B conf
A threshold method for imbalanced multiple noisy labeling.
ASONAM
Jing Zhang, Xindong Wu, Victor S. Sheng
2013 — conf
An Empirical Study of Reducing Multiclass Classification Methodologies.
MLDM
Robert Kyle Eichelberger, Victor S. Sheng
2013 A* conf
Does One-Against-All or One-Against-One Improve the Performance of Multiclass Classifications?
AAAI
Robert Kyle Eichelberger, Victor S. Sheng
2013 A* conf
Empirical Comparison of Multi-Label Classification Algorithms.
AAAI
Clifford A. Tawiah, Victor S. Sheng
2013 J jnl
Feasibility and Finite Convergence Analysis for Accurate On-Line $\nu$-Support Vector Machine.
IEEE Trans. Neural Networks Learn. Syst.
Bin Gu, Victor S. Sheng
2012 — conf
Interval-Valued Centroids in K-Means Algorithms.
ICMLA (1)
Benjamine Nordin, Chenyi Hu, Bernard Chen, Victor S. Sheng
2012 — conf
Studying Active Learning in the Cost-Sensitive Framework.
HICSS
Victor S. Sheng
2011 — conf
Boosting Inspired Process for Improving AUC.
MLDM
Victor S. Sheng, Rahul Tada
2011 A* conf
Fast Data Acquisition in Cost-Sensitive Learning.
ICDM
Victor S. Sheng
2011 J jnl
Sensitivity of different machine learning algorithms to noise.
J. Comput. Sci. Coll.
Abhinav Atla, Rahul Tada, Victor S. Sheng, Naveen K. Singireddy
2011 A* conf
Simple Multiple Noisy Label Utilization Strategies.
ICDM
Victor S. Sheng
2010 — ch.
Class Imbalance Problem.
Encyclopedia of Machine Learning
Charles X. Ling, Victor S. Sheng
2010 — ch.
Cost-Sensitive Learning.
Encyclopedia of Machine Learning
Charles X. Ling, Victor S. Sheng
2009 — ch.
Cost-Sensitive Learning.
Encyclopedia of Data Warehousing and Mining
Victor S. Sheng, Charles X. Ling
2008 A* conf
Get another label? improving data quality and data mining using multiple, noisy labelers.
KDD
Victor S. Sheng, Foster J. Provost, Panagiotis G. Ipeirotis
2007 A* conf
Partial example acquisition in cost-sensitive learning.
KDD
Victor S. Sheng, Charles X. Ling
2007 — conf
Roulette Sampling for Cost-Sensitive Learning.
ECML
Victor S. Sheng, Charles X. Ling
2006 A* conf
Feature value acquisition in testing: a sequential batch test algorithm.
ICML
Victor S. Sheng, Charles X. Ling
2006 A* conf
Maximum profit mining and its application in software development.
KDD
Charles X. Ling, Victor S. Sheng, Tilmann F. W. Bruckhaus, Nazim H. Madhavji
2006 J jnl
Test Strategies for Cost-Sensitive Decision Trees.
IEEE Trans. Knowl. Data Eng.
Charles X. Ling, Victor S. Sheng, Qiang Yang
2006 A* conf
Thresholding for Making Classifiers Cost-sensitive.
AAAI
Victor S. Sheng, Charles X. Ling