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← Authors

Victor S. Sheng

23 papers · 2015–2026 · 3 conferences · across top CS/AI conferences

Achievements

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+9 more ↓ 🏃 Academic Marathon (10) 🌉 Interdisciplinary Bridge 🧭 Keyword Pioneer 🌍 Conference Polyglot (3) 🐣 Hot Topic Early Bird
🌍 Conference Polyglot (3) 🏃 Academic Marathon (10) 🐣 Hot Topic Early Bird 🏆 Keyword Champion (2) 🗃️ Keyword Collector (116) 🚀 Conference Pioneer 💎 Century Club (22) 📈 Trend Setter ⚡ Prolific Year (6)

Conferences

AAAI (17) IJCAI (5) JMLR (1)

Top co-authors

Pengpeng Zhao (6) Yanchi Liu (5) Jiajie Xu (4) Zhenyu Xu (4) Junhua Fang (3) Ruoyu Xu (3) Xiaofang Zhou (3) Guanfeng Liu (3) Fuzhen Zhuang (3) Huixin Zhan (3)

Keywords

sequential recommendation (4) collaborative filtering (3) graph neural network (3) representation learning (2) large language model (2) multi-task learning (2) simplicial neural network (2) label aggregation (2) academic integrity (2) language model (2) vision transformer (1) domain adaptation (1) ensemble learning (1) sentiment analysis (1) interactive learning (1) semi-supervised learning (1) probabilistic modeling (1) medical image segmentation (1) few-shot learning (1) reinforcement learning (1)

Papers

Token-Context Attention for NLI: An Alternative to Self-Attention AAAI 2026 CLEP: A Novel Contrastive Learning Method for Evolutionary Reentrancy Vulnerability Detection AAAI 2025 Fuzzy Collaborative Reasoning AAAI 2025 SLRL: Semi-Supervised Local Community Detection Based on Reinforcement Learning AAAI 2025 Bridging the Gap between Source Code and Requirements Using GPT (Student Abstract) AAAI 2024 Detecting AI-Generated Code Assignments Using Perplexity of Large Language Models AAAI 2024 Enhancing Transcription Factor Prediction through Multi-Task Learning (Student Abstract) AAAI 2024 DDViT: Double-Level Fusion Domain Adapter Vision Transformer (Student Abstract) AAAI 2024 ChatGPT-Generated Code Assignment Detection Using Perplexity of Large Language Models (Student Abstract) AAAI 2024 Sequential Recommendation with Probabilistic Logical Reasoning IJCAI 2023 ACCD: An Adaptive Clustering-Based Collusion Detector in Crowdsourcing (Student Abstract) AAAI 2023 Measuring the Privacy Leakage via Graph Reconstruction Attacks on Simplicial Neural Networks (Student Abstract) AAAI 2023 Logic Error Localization and Correction with Machine Learning (Student Abstract) AAAI 2023 Towards Fair and Selectively Privacy-Preserving Models Using Negative Multi-Task Learning (Student Abstract) AAAI 2023 Privacy-Preserving Representation Learning for Text-Attributed Networks with Simplicial Complexes AAAI 2023 Collaborative Self-Attention Network for Session-based Recommendation IJCAI 2020 Interactive Learning with Proactive Cognition Enhancement for Crowd Workers AAAI 2020 Graph Contextualized Self-Attention Network for Session-based Recommendation IJCAI 2019 Feature-level Deeper Self-Attention Network for Sequential Recommendation IJCAI 2019 Machine Learning with Crowdsourcing: A Brief Summary of the Past Research and Future Directions AAAI 2019 Where to Go Next: A Spatio-Temporal Gated Network for Next POI Recommendation AAAI 2019 Bi-Parameter Space Partition for Cost-Sensitive SVM IJCAI 2015 CEKA: A Tool for Mining the Wisdom of Crowds JMLR 2015