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Jingfan Chen

Disentangled Contrastive Learning for Social Recommendation
2022 · Jiahao Wu, Wenqi Fan, et al. · ACM International Conference on Information and Knowledge Management (CIKM) · 83
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Meta-signature LncRNAs serve as novel biomarkers for colorectal cancer: integrated bioinformatics analysis, experimental validation and diagnostic evaluation
2017 · Meiyu Dai, Xiaoli Chen, et al. · Scientific Reports · 72
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Evaluation on the diagnostic and prognostic values of long non-coding RNA BLACAT1 in common types of human cancer
2017 · Xiaoli Chen, Meiyu Dai, et al. · Molecular Cancer · 53
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Knowledge-enhanced Black-box Attacks for Recommendations
2022 · Jingfan Chen, Wenqi Fan, et al. · ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD) · 49
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Fairly Adaptive Negative Sampling for Recommendations
2023 · Xiao Chen, Wenqi Fan, et al. · International World Wide Web Conference (WWW) · 45
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Molecular mechanism and role of microRNA‐93 in human cancers: A study based on bioinformatics analysis, meta‐analysis, and quantitative polymerase chain reaction validation
2018 · Yun Gao, Kaifeng Deng, et al. · Journal of Cellular Biochemistry · 30
AutoGSR
2022 · Jingfan Chen, Guanghui Zhu, et al. · International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR) · 25
Towards Self-supervised Learning on Graphs with Heterophily
2022 · Jingfan Chen, Guanghui Zhu, et al. · ACM International Conference on Information and Knowledge Management (CIKM) · 18
Diagnostic accuracy of osteopontin plus alpha-fetoprotein in the hepatocellular carcinoma: A meta-analysis
2017 · Jinwan Li, Xiaoli Chen, et al. · Clinics and Research in Hepatology and Gastroenterology · 17
The diagnostic and prognostic significance of long non-coding RNA CRNDE in pan-cancer based on TCGA, GEO and comprehensive meta–analysis
2018 · Zhu Hongzhen, Liu Yanyu, et al. · Pathology - Research and Practice · 13
Semi-supervised Embedding Learning for High-dimensional Bayesian Optimization
2020 · Chen, Jingfan, Zhu, Guanghui, et al. · arXiv (Cornell University) · 6
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Condensing Pre-Augmented Recommendation Data via Lightweight Policy Gradient Estimation
2024 · Jiahao Wu, Wenqi Fan, et al. · IEEE Transactions on Knowledge and Data Engineering · 5
Activation Steering Decoding: Mitigating Hallucination in Large Vision-Language Models through Bidirectional Hidden State Intervention
2025 · Jingran Su, Jingfan Chen, et al. · Proceedings of the conference - Association for Computational Linguistics. Meeting · 3
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DiffusePast: Diffusion-based Generative Replay for Class Incremental Semantic Segmentation
2023 · Chen, Jingfan, Wang, Yuxi, et al. · arXiv (Cornell University) · 3
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Transition Relation Aware Self-Attention for Session-based Recommendation
2022 · Guanghui Zhu, Haojun Hou, et al. · Research Square · 3
AutoGUI: Scaling GUI Grounding with Automatic Functionality Annotations from LLMs
2025 · Hongxin Li, Jingfan Chen, et al. · Proceedings of the conference - Association for Computational Linguistics. Meeting · 2
Digital Technology and Innovative Technology to Promote the Professional Development of Digital Media Based on Green Energy under COVID-19
2022 · Qianqian Xu, Bing Zheng, et al. · Processes · 2
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OSWAM: An Effective World Action Model with One-Step Action Generation
2026 · Zhang, Guowen, Chen, Liyi, et al. · arXiv (Cornell University)
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Dual Exam: Controlled Evaluation of Multimodal Agents and World Models
2026 · Rao, Zhefan, Chu, Meng, et al. · arXiv (Cornell University)
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SkillFab: An Agent-Native Skill Production Platform
2026 · Xu, Anjie, Cai, Yifeng, et al. · arXiv (Cornell University)
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Multi-objective optimization of burner configurations in sintering ignition furnace: A CFD-based orthogonal test with matrix analysis
2026 · Zhengzong Huang, Jingfan Chen, et al. · Case Studies in Thermal Engineering
MiniRec: Data-Efficient Reinforcement Learning for LLM-based Recommendation
2026 · Wang, Lin, Zhang, Yang, et al. · arXiv (Cornell University)
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AI Ethics to Requirements Practice: Building and Evaluating the HealthAI Ethics Assistant
2026 · Huang, Yutan, Chen, Jingfan, et al. · DROPS (Schloss Dagstuhl – Leibniz Center for Informatics)
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Warm Up with a Rubric, Then Merge: Decoupling Grounding Gains from Reasoning Costs in Vision-Language Models
2026 · Jingfan Chen, Lin Wang, et al. · Conference on Empirical Methods in Natural Language Processing (EMNLP)
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UIPro: Unleashing Superior Interaction Capability for GUI Agents
2025 · Hongxin Li, Jingran Su, et al. · IEEE/CVF International Conference on Computer Vision (ICCV)
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Works count: 28
Citation count: 429
H-index: 10
I10-index: 10
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