Fangquan Lin

According to our database, Fangquan Lin authored at least 15 papers between 2020 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Solving General Natural-Language-Description Optimization Problems with Large Language Models.

Jihai Zhang, Wei Wang, Siyan Guo, Li Wang, Fangquan Lin, Cheng Yang, Wotao Yin

CoRR, 2024

Solving General Natural-Language-Description Optimization Problems with Large Language Models.

Jihai Zhang, Wei Wang, Siyan Guo, Li Wang, Fangquan Lin, Cheng Yang, Wotao Yin

Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies: Industry Track, 2024

BC-Prover: Backward Chaining Prover for Formal Theorem Proving.

Yuhang He, Jihai Zhang, Jianzhu Bao, Fangquan Lin, Cheng Yang, Bing Qin, Ruifeng Xu, Wotao Yin

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

2023

A Stochastic Online Forecast-and-Optimize Framework for Real-Time Energy Dispatch in Virtual Power Plants under Uncertainty.

Wei Jiang, Zhongkai Yi, Li Wang, Hanwei Zhang, Jihai Zhang, Fangquan Lin, Cheng Yang

Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

2022

KDD CUP 2022 Wind Power Forecasting Team 88VIP Solution.

Fangquan Lin, Wei Jiang, Hanwei Zhang, Cheng Yang

CoRR, 2022

GUIM - General User and Item Embedding with Mixture of Representation in E-commerce.

Chao Yang, Ru He, Fangquan Lin, Suoyuan Song, Jingqiao Zhang, Cheng Yang

CoRR, 2022

Deep Multi-Representational Item Network for CTR Prediction.

Jihai Zhang, Fangquan Lin, Cheng Yang, Wei Wang

Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022

A New Sequential Prediction Framework with Spatial-temporal Embedding.

Jihai Zhang, Fangquan Lin, Cheng Yang, Wei Jiang

Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022

Dual Disentangled Attention for Multi-Information Utilization in Sequential Recommendation.

Ziqiang Cui, Yixin Su, Fangquan Lin, Cheng Yang, Hanwei Zhang, Jihai Zhang

Proceedings of the International Joint Conference on Neural Networks, 2022

Neighbor-Augmented Transformer-Based Embedding for Retrieval.

Jihai Zhang, Fangquan Lin, Wei Jiang, Cheng Yang, Gaoge Liu

Proceedings of the IEEE International Conference on Acoustics, 2022

An Enhanced Gated Graph Neural Network for E-commerce Recommendation.

Jihai Zhang, Fangquan Lin, Cheng Yang, Ziqiang Cui

Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

2021

The CityLearn Challenge 2022: Overview, Results, and Lessons Learned.

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

Proceedings of the NeurIPS 2022 Competition Track, 2021

Dynamic Sequential Recommendation: Decoupling User Intent from Temporal Context.

Wei Jiang, Fangquan Lin, Jihai Zhang, Cheng Yang, Hanwei Zhang, Ziqiang Cui

Proceedings of the 2021 International Conference on Data Mining, 2021

Dynamic Popularity-Aware Contrastive Learning for Recommendation.

Fangquan Lin, Wei Jiang, Jihai Zhang, Cheng Yang

Proceedings of the Asian Conference on Machine Learning, 2021

2020

CoRe: An Efficient Coarse-refined Training Framework for BERT.

Cheng Yang, Shengnan Wang, Yuechuan Li, Chao Yang, Ming Yan, Jingqiao Zhang, Fangquan Lin

CoRR, 2020