Fangquan Lin - RankMe

24 papers A* 4A 2B 2C 1Misc 1Journal 10Unranked 4

Year	Rank	Type	Title / Venue / Authors
2025	B	`conf`	Filter-then-Generate: Large Language Models with Structure-Text Adapter for Knowledge Graph Completion. COLING Ben Liu, Jihai Zhang, Fangquan Lin, Cheng Yang, Min Peng
2025	J	`jnl`	Intrinsic and Extrinsic Factor Disentanglement for Recommendation in Various Context Scenarios. CoRR Yixin Su, Wei Jiang, Fangquan Lin, Cheng Yang, Sarah M. Erfani, Junhao Gan, Yunxiang Zhao, Ruixuan Li, Rui Zhang
2025	J	`jnl`	Intrinsic and Extrinsic Factor Disentanglement for Recommendation in Various Context Scenarios. ACM Trans. Inf. Syst. Yixin Su, Wei Jiang, Fangquan Lin, Cheng Yang, Sarah M. Erfani, Junhao Gan, Yunxiang Zhao, Ruixuan Li, Rui Zhang
2025	J	`jnl`	One Size doesn't Fit All: A Personalized Conversational Tutoring Agent for Mathematics Instruction. CoRR Ben Liu, Jihan Zhang, Fangquan Lin, Xu Jia, Min Peng
2025	—	`conf`	Scale Down to Speed Up: Dynamic Data Selection for Reinforcement Learning. EMNLP (Findings) Zhuoyue Chen, Jihai Zhang, Ben Liu, Fangquan Lin, Wotao Yin
2025	A*	`conf`	SymAgent: A Neural-Symbolic Self-Learning Agent Framework for Complex Reasoning over Knowledge Graphs. WWW Ben Liu, Jihai Zhang, Fangquan Lin, Cheng Yang, Min Peng, Wotao Yin
2025	J	`jnl`	SymAgent: A Neural-Symbolic Self-Learning Agent Framework for Complex Reasoning over Knowledge Graphs. CoRR Ben Liu, Jihai Zhang, Fangquan Lin, Cheng Yang, Min Peng, Wotao Yin
2024	A*	`conf`	BC-Prover: Backward Chaining Prover for Formal Theorem Proving. EMNLP Yuhang He, Jihai Zhang, Jianzhu Bao, Fangquan Lin, Cheng Yang, Bing Qin, Ruifeng Xu, Wotao Yin
2024	J	`jnl`	Filter-then-Generate: Large Language Models with Structure-Text Adapter for Knowledge Graph Completion. CoRR Ben Liu, Jihai Zhang, Fangquan Lin, Cheng Yang, Min Peng
2024	—	`conf`	Solving General Natural-Language-Description Optimization Problems with Large Language Models. NAACL (Industry Track) Jihai Zhang, Wei Wang, Siyan Guo, Li Wang, Fangquan Lin, Cheng Yang, Wotao Yin
2024	J	`jnl`	Solving General Natural-Language-Description Optimization Problems with Large Language Models. CoRR Jihai Zhang, Wei Wang, Siyan Guo, Li Wang, Fangquan Lin, Cheng Yang, Wotao Yin
2023	A	`conf`	A Stochastic Online Forecast-and-Optimize Framework for Real-Time Energy Dispatch in Virtual Power Plants under Uncertainty. CIKM Wei Jiang, Zhongkai Yi, Li Wang, Hanwei Zhang, Jihai Zhang, Fangquan Lin, Cheng Yang
2023	J	`jnl`	A Stochastic Online Forecast-and-Optimize Framework for Real-Time Energy Dispatch in Virtual Power Plants under Uncertainty. CoRR Wei Jiang, Zhongkai Yi, Li Wang, Hanwei Zhang, Jihai Zhang, Fangquan Lin, Cheng Yang
2022	A*	`conf`	A New Sequential Prediction Framework with Spatial-temporal Embedding. SIGIR Jihai Zhang, Fangquan Lin, Cheng Yang, Wei Jiang
2022	A	`conf`	An Enhanced Gated Graph Neural Network for E-commerce Recommendation. CIKM Jihai Zhang, Fangquan Lin, Cheng Yang, Ziqiang Cui
2022	A*	`conf`	Deep Multi-Representational Item Network for CTR Prediction. SIGIR Jihai Zhang, Fangquan Lin, Cheng Yang, Wei Wang
2022	B	`conf`	Dual Disentangled Attention for Multi-Information Utilization in Sequential Recommendation. IJCNN Ziqiang Cui, Yixin Su, Fangquan Lin, Cheng Yang, Hanwei Zhang, Jihai Zhang
2022	J	`jnl`	GUIM - General User and Item Embedding with Mixture of Representation in E-commerce. CoRR Chao Yang, Ru He, Fangquan Lin, Suoyuan Song, Jingqiao Zhang, Cheng Yang
2022	J	`jnl`	KDD CUP 2022 Wind Power Forecasting Team 88VIP Solution. CoRR Fangquan Lin, Wei Jiang, Hanwei Zhang, Cheng Yang
2022	Misc	`conf`	Neighbor-Augmented Transformer-Based Embedding for Retrieval. ICASSP Jihai Zhang, Fangquan Lin, Wei Jiang, Cheng Yang, Gaoge Liu
2021	C	`conf`	Dynamic Popularity-Aware Contrastive Learning for Recommendation. ACML Fangquan Lin, Wei Jiang, Jihai Zhang, Cheng Yang
2021	—	`conf`	Dynamic Sequential Recommendation: Decoupling User Intent from Temporal Context. ICDM (Workshops) Wei Jiang, Fangquan Lin, Jihai Zhang, Cheng Yang, Hanwei Zhang, Ziqiang Cui
2021	—	`conf`	The CityLearn Challenge 2022: Overview, Results, and Lessons Learned. NeurIPS (Competition and Demos) Kingsley Nweye, Zoltán Nagy, Sharada P. Mohanty, Dipam Chakraborty, Siva Sankaranarayanan, Tianzhen Hong, Sourav Dey, Gregor Henze, Ján Drgona, Fangquan Lin, Wei Jiang, Hanwei Zhang, Zhongkai Yi, Jihai Zhang, Cheng Yang, Matthew Motoki, Sorapong Khongnawang, Michael Ibrahim, Abilmansur Zhumabekov, Daniel May, Zhihu Yang, Xiaozhuang Song, Han Zhang, Xiaoning Dong, Shun Zheng, Jiang Bian
2020	J	`jnl`	CoRe: An Efficient Coarse-refined Training Framework for BERT. CoRR Cheng Yang, Shengnan Wang, Yuechuan Li, Chao Yang, Ming Yan, Jingqiao Zhang, Fangquan Lin