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Author

Wenqi Fan

Observed name: Fan, Wenqi
ORCID: 0000-0002-4049-1233
Observed ORCID: 0000-0002-4049-1233
OpenAlex ID: A5100583858
UrbanEV: An Open Benchmark Dataset for Urban Electric Vehicle Charging Demand Prediction
2025 · Han Li, Haohao Qu, et al. · Scientific Data · 94
A Comprehensive Survey on Trustworthy Recommender Systems
2022 · Fan, Wenqi, Zhao, Xiangyu, et al. · arXiv (Cornell University) · 20
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Advancing the Robustness of Large Language Models through Self-Denoised Smoothing
2024 · Jiabao Ji, Bairu Hou, et al. · Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (NAACL-HLT) · 10
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Towards Retrieval-Augmented Large Language Models: Data Management and System Design
2025 · Wenqi Fan, Pangjing Wu, et al. · IEEE International Conference on Data Engineering (ICDE) · 9
Certified Robustness for Large Language Models with Self-Denoising
2023 · Zhang, Zhen, Zhang, Guanhua, et al. · arXiv (Cornell University) · 8
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MolReFlect: Toward In-Context Fine-Grained Alignments Between Molecules and Texts
2026 · Jiatong Li, Yunqing Liu, et al. · IEEE Transactions on Knowledge and Data Engineering · 4
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Advancing the Robustness of Large Language Models through Self-Denoised Smoothing
2024 · Ji, Jiabao, Hou, Bairu, et al. · arXiv (Cornell University) · 4
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Defense Against Gradient Leakage Attacks via Learning to Obscure Data
2022 · Wan, Yuxuan, Xu, Han, et al. · arXiv (Cornell University) · 4
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C2KD: Cross-layer and Cross-head Knowledge Distillation for Small Language Model-based Recommendation
2025 · Xiao Chen, Changyi Ma, et al. · Findings of the Association for Computational Linguistics: ACL (Findings of ACL) · 3
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GraphATC: advancing multilevel and multi-label anatomical therapeutic chemical classification via atom-level graph learning
2025 · Wengyu Zhang, Qi Tian, et al. · Briefings in Bioinformatics · 2
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Rethinking Large Language Model Architectures for Sequential Recommendations
2024 · Wang, Hanbing, Liu, Xiaorui, et al. · arXiv (Cornell University) · 2
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Exploring Graph Learning Tasks with Pure LLMs: A Comprehensive Benchmark and Investigation
2026 · Yuxiang Wang, Xinnan Dai, et al. · Findings of the Association for Computational Linguistics: ACL (Findings of ACL) · 1
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How Do Large Language Models Understand Graph Patterns? A Benchmark for Graph Pattern Comprehension
2024 · Dai, Xinnan, Qu, Haohao, et al. · arXiv (Cornell University) · 1
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Graph Trend Filtering Networks for Recommendations
2021 · Fan, Wenqi, Liu, Xiaorui, et al. · arXiv (Cornell University) · 1
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LLM-Powered KG Utility Evaluation Framework
2026 · Pangjing Wu, Xiaodong Li, et al. · IEEE Transactions on Knowledge and Data Engineering
From Bias to Behavior: Learning Bull-Bear Market Dynamics with Contrastive Modeling
2025 · Luo, Xiaotong, Zhuo, Shengda, et al. · arXiv (Cornell University)
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From Bias to Behavior: Learning Bull-Bear Market Dynamics with Contrastive Modeling to Be Shown on Acceptance
2025 · Xiaotong Luo, Shengda Zhuo, et al. · SSRN Electronic Journal
From Bias to Behavior: Learning Bull-Bear Market Dynamics with Contrastive Modeling to Be Shown on Acceptance
2025 · Xiaotong Luo, Shengda Zhuo, et al. · SSRN Electronic Journal
ChartAdapter: Large Vision-Language Model for Chart Summarization
2024 · Xu, Peixin, Ding, Yujuan, et al. · arXiv (Cornell University)
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Works count: 22
Citation count: 164
H-index: 5
I10-index: 3
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