| 2026 | AAAI | Token-Context Attention for NLI: An Alternative to Self-Attention. | Xin Zhang, Victor S. Sheng |
| 2026 | ACL | GAVEL: Evidence-Contract Debate with Mechanized Scrutiny for Provenance-Grounded Fact-Checking. | Ruoyu Xu, Gaoxiang Li, Victor S. Sheng |
| 2026 | WWW | From Code to Rubrics: A Multimodal Evaluation of LLM Systems for Automated Feedback Generation. | Muhammad Haseeb, Ahmad Imam Amjad, Maaz Amjad, Victor S. Sheng |
| 2025 | AAAI | CLEP: A Novel Contrastive Learning Method for Evolutionary Reentrancy Vulnerability Detection. | Jie Chen, Liangmin Wang, Huijuan Zhu, Victor S. Sheng |
| 2025 | AAAI | SLRL: Semi-Supervised Local Community Detection Based on Reinforcement Learning. | Li Ni, Rui Ye, Wenjian Luo, Yiwen Zhang, Lei Zhang, Victor S. Sheng |
| 2025 | AAAI | Fuzzy Collaborative Reasoning. | Huanhuan Yuan, Pengpeng Zhao, Jiaqing Fan, Junhua Fang, Guanfeng Liu, Victor S. Sheng |
| 2024 | AAAI | Enhancing Transcription Factor Prediction through Multi-Task Learning (Student Abstract). | Liyuan Gao, Matthew Zhang, Victor S. Sheng |
| 2024 | AAAI | DDViT: Double-Level Fusion Domain Adapter Vision Transformer (Student Abstract). | Linpeng Sun, Victor S. Sheng |
| 2024 | AAAI | Detecting AI-Generated Code Assignments Using Perplexity of Large Language Models. | Zhenyu Xu, Victor S. Sheng |
| 2024 | AAAI | Bridging the Gap between Source Code and Requirements Using GPT (Student Abstract). | Ruoyu Xu, Zhenyu Xu, Gaoxiang Li, Victor S. Sheng |
| 2024 | AAAI | ChatGPT-Generated Code Assignment Detection Using Perplexity of Large Language Models (Student Abstract). | Zhenyu Xu, Ruoyu Xu, Victor S. Sheng |
| 2024 | CIKM | A General Strategy Graph Collaborative Filtering for Recommendation Unlearning. | Yongjing Hao, Fuzhen Zhuang, Deqing Wang, Guanfeng Liu, Victor S. Sheng, Pengpeng Zhao |
| 2024 | ICANN | Exploring Task-Specific Dimensions in Word Embeddings Through Automatic Rule Learning. | Liyuan Gao, Huixin Zhan, Victor S. Sheng |
| 2024 | ICANN | Towards Minimal Edits in Automated Program Repair: A Hybrid Framework Integrating Graph Neural Networks and Large Language Models. | Zhenyu Xu, Victor S. Sheng |
| 2024 | ICDE | Meta-Optimized Joint Generative and Contrastive Learning for Sequential Recommendation. | Yongjing Hao, Pengpeng Zhao, Junhua Fang, Jianfeng Qu, Guanfeng Liu, Fuzhen Zhuang, Victor S. Sheng, Xiaofang Zhou |
| 2024 | ICDE | Meta-optimized Structural and Semantic Contrastive Learning for Graph Collaborative Filtering. | Yongjing Hao, Pengpeng Zhao, Jianfeng Qu, Lei Zhao, Guanfeng Liu, Fuzhen Zhuang, Victor S. Sheng, Xiaofang Zhou |
| 2024 | IJCNN | Beyond Binary Classification: Customizable Text Watermark on Large Language Models. | Zhenyu Xu, Ruoyu Xu, Victor S. Sheng |
| 2024 | IJCNN | Privacy-Preserving Unsupervised Spherical Text Embeddings. | Huixin Zhan, Liyuan Gao, Victor S. Sheng |
| 2024 | WSDM | Intent Contrastive Learning with Cross Subsequences for Sequential Recommendation. | Xiuyuan Qin, Huanhuan Yuan, Pengpeng Zhao, Guanfeng Liu, Fuzhen Zhuang, Victor S. Sheng |
| 2024 | SDM | Robust Sparse Online Learning for Data Streams with Streaming Features. | Zhong Chen, Yi He, Di Wu, Huixin Zhan, Victor S. Sheng, Kun Zhang |
| 2023 | AAAI | Towards Fair and Selectively Privacy-Preserving Models Using Negative Multi-Task Learning (Student Abstract). | Liyuan Gao, Huixin Zhan, Austin Chen, Victor S. Sheng |
| 2023 | AAAI | ACCD: An Adaptive Clustering-Based Collusion Detector in Crowdsourcing (Student Abstract). | Ruoyu Xu, Gaoxiang Li, Wei Jin, Austin Chen, Victor S. Sheng |
| 2023 | AAAI | Logic Error Localization and Correction with Machine Learning (Student Abstract). | Zhenyu Xu, Victor S. Sheng, Keyi Lu |
| 2023 | AAAI | Measuring the Privacy Leakage via Graph Reconstruction Attacks on Simplicial Neural Networks (Student Abstract). | Huixin Zhan, Kun Zhang, Keyi Lu, Victor S. Sheng |
| 2023 | AAAI | Privacy-Preserving Representation Learning for Text-Attributed Networks with Simplicial Complexes. | Huixin Zhan, Victor S. Sheng |
| 2023 | APSEC | Enhancing Logic Error Detection Through Program Pseudocodes. | Zhenyu Xu, Victor S. Sheng |
| 2023 | CIKM | Simplex2vec Backward: From Vectors Back to Simplicial Complex. | Huixin Zhan, Kun Zhang, Zhong Chen, Victor S. Sheng |
| 2023 | DSAA | Defending the Graph Reconstruction Attacks for Simplicial Neural Networks. | Huixin Zhan, Liyuan Gao, Kun Zhang, Zhong Chen, Victor S. Sheng |
| 2023 | EMNLP | Federated Learning of Large Language Models with Parameter-Efficient Prompt Tuning and Adaptive Optimization. | Tianshi Che, Ji Liu, Yang Zhou, Jiaxiang Ren, Jiwen Zhou, Victor S. Sheng, Huaiyu Dai, Dejing Dou |
| 2023 | ICDE | Contrastive Enhanced Slide Filter Mixer for Sequential Recommendation. | Xinyu Du, Huanhuan Yuan, Pengpeng Zhao, Junhua Fang, Guanfeng Liu, Yanchi Liu, Victor S. Sheng, Xiaofang Zhou |
| 2023 | ICDE | A Self-play and Sentiment-Emphasized Comment Integration Framework Based on Deep Q-Learning in a Crowdsourcing Scenario : Extended Abstract. | Huan Rong, Victor S. Sheng, Tinghuai Ma, Yang Zhou, Mznah Al-Rodhaan |
| 2023 | ICONIP | Sample Selection Based on Uncertainty for Combating Label Noise. | Shuohui Hao, Zhe Liu, Yuqing Song, Yi Liu, Kai Han, Victor S. Sheng, Yan Zhu |
| 2023 | IJCAI | Sequential Recommendation with Probabilistic Logical Reasoning. | Huanhuan Yuan, Pengpeng Zhao, Xuefeng Xian, Guanfeng Liu, Yanchi Liu, Victor S. Sheng, Lei Zhao |
| 2023 | ISSRE | GraBit: A Sequential Model-Based Framework for Smart Contract Vulnerability Detection. | Huijuan Zhu, Kaixuan Yang, Liangmin Wang, Zhicheng Xu, Victor S. Sheng |
| 2023 | SIGIR | Frequency Enhanced Hybrid Attention Network for Sequential Recommendation. | Xinyu Du, Huanhuan Yuan, Pengpeng Zhao, Jianfeng Qu, Fuzhen Zhuang, Guanfeng Liu, Yanchi Liu, Victor S. Sheng |
| 2023 | SIGIR | Ensemble Modeling with Contrastive Knowledge Distillation for Sequential Recommendation. | Hanwen Du, Huanhuan Yuan, Pengpeng Zhao, Fuzhen Zhuang, Guanfeng Liu, Lei Zhao, Yanchi Liu, Victor S. Sheng |
| 2023 | SIGIR | Meta-optimized Contrastive Learning for Sequential Recommendation. | Xiuyuan Qin, Huanhuan Yuan, Pengpeng Zhao, Junhua Fang, Fuzhen Zhuang, Guanfeng Liu, Yanchi Liu, Victor S. Sheng |
| 2022 | APWEB | Self-guided Contrastive Learning for Sequential Recommendation. | Hui Shi, Hanwen Du, Yongjing Hao, Victor S. Sheng, Zhiming Cui, Pengpeng Zhao |
| 2022 | CIKM | Contrastive Learning with Bidirectional Transformers for Sequential Recommendation. | Hanwen Du, Hui Shi, Pengpeng Zhao, Deqing Wang, Victor S. Sheng, Yanchi Liu, Guanfeng Liu, Lei Zhao |
| 2022 | ICDM | Projection Dual Averaging Based Second-order Online Learning. | Zhong Chen, Huixin Zhan, Victor S. Sheng, Andrea Edwards, Kun Zhang |
| 2022 | IJCNN | Quaternion-Based Graph Contrastive Learning for Recommendation. | Yaxing Fang, Pengpeng Zhao, Xuefeng Xian, Junhua Fang, Guanfeng Liu, Yanchi Liu, Victor S. Sheng |
| 2022 | IJCNN | Help from Meta-Path: Node and Meta-Path Contrastive Learning for Recommender Systems. | Mingyuan Huang, Pengpeng Zhao, Xuefeng Xian, Jianfeng Qu, Guanfeng Liu, Yanchi Liu, Victor S. Sheng |
| 2022 | IPMU | Towards Explainable Summary of Crowdsourced Reviews Through Text Mining. | Aaron Moody, Chenyi Hu, Huixin Zhan, Makenzie Spurling, Victor S. Sheng |
| 2022 | IPMU | Anomaly Detection in Crowdsourced Work with Interval-Valued Labels. | Makenzie Spurling, Chenyi Hu, Huixin Zhan, Victor S. Sheng |
| 2022 | WISE | Click is Not Equal to Purchase: Multi-task Reinforcement Learning for Multi-behavior Recommendation. | Huiwang Zhang, Pengpeng Zhao, Xuefeng Xian, Victor S. Sheng, Yongjing Hao, Zhiming Cui |
| 2021 | ACML | K | Huixin Zhan, Kun Zhang, Chenyi Hu, Victor S. Sheng |
| 2021 | CIKM | Multi-objective Privacy-preserving Text Representation Learning. | Huixin Zhan, Kun Zhang, Chenyi Hu, Victor S. Sheng |
| 2021 | DASFAA | Tell Me Where to Go Next: Improving POI Recommendation via Conversation. | Changheng Li, Yongjing Hao, Pengpeng Zhao, Fuzhen Zhuang, Yanchi Liu, Victor S. Sheng |
| 2021 | DASFAA | Knowledge-Aware Hypergraph Neural Network for Recommender Systems. | Binghao Liu, Pengpeng Zhao, Fuzhen Zhuang, Xuefeng Xian, Yanchi Liu, Victor S. Sheng |
| 2021 | DASFAA | Learning Disentangled User Representation Based on Controllable VAE for Recommendation. | Yunyi Li, Pengpeng Zhao, Deqing Wang, Xuefeng Xian, Yanchi Liu, Victor S. Sheng |
| 2021 | DASFAA | Considering Interaction Sequence of Historical Items for Conversational Recommender System. | Xintao Tian, Yongjing Hao, Pengpeng Zhao, Deqing Wang, Yanchi Liu, Victor S. Sheng |
| 2021 | ICDE | Variational Self-attention Network for Sequential Recommendation. | Jing Zhao, Pengpeng Zhao, Lei Zhao, Yanchi Liu, Victor S. Sheng, Xiaofang Zhou |
| 2021 | WWW | Robust Network Alignment via Attack Signal Scaling and Adversarial Perturbation Elimination. | Yang Zhou, Zeru Zhang, Sixing Wu, Victor S. Sheng, Xiaoying Han, Zijie Zhang, Ruoming Jin |
| 2021 | WISE | MGSAN: A Multi-granularity Self-attention Network for Next POI Recommendation. | Yepeng Li, Xuefeng Xian, Pengpeng Zhao, Yanchi Liu, Victor S. Sheng |
| 2021 | WISE | Exploiting Intra and Inter-field Feature Interaction with Self-Attentive Network for CTR Prediction. | Shenghao Zheng, Xuefeng Xian, Yongjing Hao, Victor S. Sheng, Zhiming Cui, Pengpeng Zhao |
| 2020 | AAAI | Interactive Learning with Proactive Cognition Enhancement for Crowd Workers. | Jing Zhang, Huihui Wang, Shunmei Meng, Victor S. Sheng |
| 2020 | APWEB | Spatio-Temporal Self-Attention Network for Next POI Recommendation. | Jiacheng Ni, Pengpeng Zhao, Jiajie Xu, Junhua Fang, Zhixu Li, Xuefeng Xian, Zhiming Cui, Victor S. Sheng |
| 2020 | APWEB | Fruited-Forest: A Reachability Querying Method Based on Spanning Tree Modelling of Reduced DAG. | Liu Yang, Tingxuan Chen, Junyu Zhang, Jun Long, Zhigang Hu, Victor S. Sheng |
| 2020 | APWEB | Knowledge Graph Attention Network Enhanced Sequential Recommendation. | Xingwei Zhu, Pengpeng Zhao, Jiajie Xu, Junhua Fang, Lei Zhao, Xuefeng Xian, Zhiming Cui, Victor S. Sheng |
| 2020 | DASFAA | Modeling Periodic Pattern with Self-Attention Network for Sequential Recommendation. | Jun Ma, Pengpeng Zhao, Yanchi Liu, Victor S. Sheng, Jiajie Xu, Lei Zhao |
| 2020 | DASFAA | Vector-Level and Bit-Level Feature Adjusted Factorization Machine for Sparse Prediction. | Yanghong Wu, Pengpeng Zhao, Yanchi Liu, Victor S. Sheng, Junhua Fang, Fuzhen Zhuang |
| 2020 | DASFAA | Cross-Domain Recommendation with Adversarial Examples. | Haoran Yan, Pengpeng Zhao, Fuzhen Zhuang, Deqing Wang, Yanchi Liu, Victor S. Sheng |
| 2020 | DASFAA | Hierarchical Variational Attention for Sequential Recommendation. | Jing Zhao, Pengpeng Zhao, Yanchi Liu, Victor S. Sheng, Zhixu Li, Lei Zhao |
| 2020 | ICDM | The IEEE ICDM 2020 Workshops. | Giuseppe Di Fatta, Victor S. Sheng, Alfredo Cuzzocrea |
| 2020 | IJCAI | Collaborative Self-Attention Network for Session-based Recommendation. | Anjing Luo, Pengpeng Zhao, Yanchi Liu, Fuzhen Zhuang, Deqing Wang, Jiajie Xu, Junhua Fang, Victor S. Sheng |
| 2020 | KDD | Semi-Supervised Multi-Label Learning from Crowds via Deep Sequential Generative Model. | Wanli Shi, Victor S. Sheng, Xiang Li, Bin Gu |
| 2020 | WWW | Exploiting Aesthetic Preference in Deep Cross Networks for Cross-domain Recommendation. | Jian Liu, Pengpeng Zhao, Fuzhen Zhuang, Yanchi Liu, Victor S. Sheng, Jiajie Xu, Xiaofang Zhou, Hui Xiong |
| 2019 | AAAI | Machine Learning with Crowdsourcing: A Brief Summary of the Past Research and Future Directions. | Victor S. Sheng, Jing Zhang |
| 2019 | AAAI | Where to Go Next: A Spatio-Temporal Gated Network for Next POI Recommendation. | Pengpeng Zhao, Haifeng Zhu, Yanchi Liu, Jiajie Xu, Zhixu Li, Fuzhen Zhuang, Victor S. Sheng, Xiaofang Zhou |
| 2019 | DASFAA | Attention and Convolution Enhanced Memory Network for Sequential Recommendation. | Jian Liu, Pengpeng Zhao, Yanchi Liu, Jiajie Xu, Junhua Fang, Lei Zhao, Victor S. Sheng, Zhiming Cui |
| 2019 | DASFAA | Adaptive Attention-Aware Gated Recurrent Unit for Sequential Recommendation. | Anjing Luo, Pengpeng Zhao, Yanchi Liu, Jiajie Xu, Zhixu Li, Lei Zhao, Victor S. Sheng, Zhiming Cui |
| 2019 | DASFAA | AdaCML: Adaptive Collaborative Metric Learning for Recommendation. | Tingting Zhang, Pengpeng Zhao, Yanchi Liu, Jiajie Xu, Junhua Fang, Lei Zhao, Victor S. Sheng, Zhiming Cui |
| 2019 | EWSN | A Centralized Energy-Efficient Wireless Sensor Network Routing Protocol for the Static Sensor Nodes. | Gang Liu, Zhaobin Liu, Victor S. Sheng, Liang Zhang, Yuanfeng Yang |
| 2019 | IJCAI | Graph Contextualized Self-Attention Network for Session-based Recommendation. | Chengfeng Xu, Pengpeng Zhao, Yanchi Liu, Victor S. Sheng, Jiajie Xu, Fuzhen Zhuang, Junhua Fang, Xiaofang Zhou |
| 2019 | IJCAI | Feature-level Deeper Self-Attention Network for Sequential Recommendation. | Tingting Zhang, Pengpeng Zhao, Yanchi Liu, Victor S. Sheng, Jiajie Xu, Deqing Wang, Guanfeng Liu, Xiaofang Zhou |
| 2019 | WWW | Recurrent Convolutional Neural Network for Sequential Recommendation. | Chengfeng Xu, Pengpeng Zhao, Yanchi Liu, Jiajie Xu, Victor S. Sheng, Zhiming Cui, Xiaofang Zhou, Hui Xiong |
| 2019 | WISE | Interaction Graph Neural Network for News Recommendation. | Yongye Qian, Pengpeng Zhao, Zhixu Li, Junhua Fang, Lei Zhao, Victor S. Sheng, Zhiming Cui |
| 2018 | APWEB | Exploiting Implicit Social Relationship for Point-of-Interest Recommendation. | Haifeng Zhu, Pengpeng Zhao, Zhixu Li, Jiajie Xu, Lei Zhao, Victor S. Sheng |
| 2017 | AAAI | Keyphrase Extraction with Sequential Pattern Mining. | Qingren Wang, Victor S. Sheng, Xindong Wu |
| 2017 | ICDM | Exploiting Hierarchical Structures for POI Recommendation. | Pengpeng Zhao, Xiefeng Xu, Yanchi Liu, Ziting Zhou, Kai Zheng, Victor S. Sheng, Hui Xiong |
| 2017 | SIGIR | Label Aggregation for Crowdsourcing with Bi-Layer Clustering. | Jing Zhang, Victor S. Sheng, Tao Li |
| 2017 | WISE | Social Personalized Ranking Embedding for Next POI Recommendation. | Yan Long, Pengpeng Zhao, Victor S. Sheng, Guanfeng Liu, Jiajie Xu, Jian Wu, Zhiming Cui |
| 2016 | DASFAA | An Efficient Location-Aware Top-k Subscription Matching for Publish/Subscribe with Boolean Expressions. | Hanhan Jiang, Pengpeng Zhao, Victor S. Sheng, Jiajie Xu, An Liu, Jian Wu, Zhiming Cui |
| 2015 | ADC | Effective Spatial Keyword Query Processing on Road Networks. | Hailin Fang, Pengpeng Zhao, Victor S. Sheng, Jian Wu, Jiajie Xu, An Liu, Zhiming Cui |
| 2015 | ADC | TK-SK: Textual-Restricted K Spatial Keyword Query on Road Networks. | Xiaopeng Kuang, Pengpeng Zhao, Victor S. Sheng, Jian Wu, Zhixu Li, Guanfeng Liu, Zhiming Cui |
| 2015 | APWEB | EPEMS: An Entity Matching System for E-Commerce Products. | Lei Gao, Pengpeng Zhao, Victor S. Sheng, Zhixu Li, An Liu, Jian Wu, Zhiming Cui |
| 2015 | CIKM | Best First Over-Sampling for Multilabel Classification. | Xusheng Ai, Jian Wu, Victor S. Sheng, Yufeng Yao, Pengpeng Zhao, Zhiming Cui |
| 2015 | CIKM | Improving Label Quality in Crowdsourcing Using Noise Correction. | Jing Zhang, Victor S. Sheng, Jian Wu, Xiaoqin Fu, Xindong Wu |
| 2015 | DASFAA | Scalable Top- k Spatial Image Search on Road Networks. | Pengpeng Zhao, Xiaopeng Kuang, Victor S. Sheng, Jiajie Xu, Jian Wu, Zhiming Cui |
| 2015 | DSAA | Label noise correction methods. | Bryce Nicholson, Jing Zhang, Victor S. Sheng, Zhiheng Wang |
| 2015 | ICIP | Noise correction of image labeling in crowdsourcing. | Bryce Nicholson, Victor S. Sheng, Jing Zhang |
| 2015 | ICIP | Multi-label active learning with label correlation for image classification. | Chen Ye, Jian Wu, Victor S. Sheng, Pengpeng Zhao, Zhiming Cui |
| 2015 | ICMLA | Learning from the Crowd with Neural Network. | Jingjing Li, Victor S. Sheng, Zhenyu Shu, Yanxia Cheng, Yuqin Jin, Yuan-feng Yan |
| 2015 | ICMLA | Integrating Active Learning with Supervision for Crowdsourcing Generalization. | Zhenyu Shu, Victor S. Sheng, Yang Zhang, Dianhong Wang, Jing Zhang, Heng Chen |
| 2015 | IJCAI | Bi-Parameter Space Partition for Cost-Sensitive SVM. | Bin Gu, Victor S. Sheng, Shuo Li |
| 2015 | PAKDD | Immune Centroids Over-Sampling Method for Multi-Class Classification. | Xusheng Ai, Jian Wu, Victor S. Sheng, Pengpeng Zhao, Yufeng Yao, Zhiming Cui |
| 2015 | WISE | Ranked Reverse Boolean Spatial Keyword Nearest Neighbors Search. | Hailin Fang, Pengpeng Zhao, Victor S. Sheng, Zhixu Li, Jiajie Xu, Jian Wu, Zhiming Cui |
| 2015 | WISE | An Efficient Location-Aware Publish/Subscribe Index with Boolean Expressions. | Hanhan Jiang, Pengpeng Zhao, Victor S. Sheng, Guanfeng Liu, An Liu, Jian Wu, Zhiming Cui |
| 2014 | ICIP | Multi-label active learning for image classification. | Jian Wu, Victor S. Sheng, Jing Zhang, Pengpeng Zhao, Zhiming Cui |
| 2013 | AAAI | Does One-Against-All or One-Against-One Improve the Performance of Multiclass Classifications? | Robert Kyle Eichelberger, Victor S. Sheng |
| 2013 | AAAI | Empirical Comparison of Multi-Label Classification Algorithms. | Clifford A. Tawiah, Victor S. Sheng |
| 2012 | ICMLA | Interval-Valued Centroids in K-Means Algorithms. | Benjamine Nordin, Chenyi Hu, Bernard Chen, Victor S. Sheng |
| 2011 | ICDM | Simple Multiple Noisy Label Utilization Strategies. | Victor S. Sheng |
| 2008 | KDD | Get another label? improving data quality and data mining using multiple, noisy labelers. | Victor S. Sheng, Foster J. Provost, Panagiotis G. Ipeirotis |
| 2007 | KDD | Partial example acquisition in cost-sensitive learning. | Victor S. Sheng, Charles X. Ling |
| 2006 | AAAI | Thresholding for Making Classifiers Cost-sensitive. | Victor S. Sheng, Charles X. Ling |
| 2006 | ICML | Feature value acquisition in testing: a sequential batch test algorithm. | Victor S. Sheng, Charles X. Ling |
| 2006 | KDD | Maximum profit mining and its application in software development. | Charles X. Ling, Victor S. Sheng, Tilmann F. W. Bruckhaus, Nazim H. Madhavji |