Fangquan Lin

Publication Activity (10 Years)

Years Active: 2020-2024
Publications (10 Years): 14

Top Topics

Temporal Context

Top Venues

Publications

Jihai Zhang, Wei Wang, Siyan Guo, Li Wang, Fangquan Lin, Cheng Yang, Wotao Yin
Solving General Natural-Language-Description Optimization Problems with Large Language Models. CoRR (2024)
Wei Jiang, Zhongkai Yi, Li Wang, Hanwei Zhang, Jihai Zhang, Fangquan Lin, Cheng Yang
A Stochastic Online Forecast-and-Optimize Framework for Real-Time Energy Dispatch in Virtual Power Plants under Uncertainty. CIKM (2023)
Wei Jiang, Zhongkai Yi, Li Wang, Hanwei Zhang, Jihai Zhang, Fangquan Lin, Cheng Yang
A Stochastic Online Forecast-and-Optimize Framework for Real-Time Energy Dispatch in Virtual Power Plants under Uncertainty. CoRR (2023)
Jihai Zhang, Fangquan Lin, Cheng Yang, Ziqiang Cui
An Enhanced Gated Graph Neural Network for E-commerce Recommendation. CIKM (2022)
Chao Yang, Ru He, Fangquan Lin, Suoyuan Song, Jingqiao Zhang, Cheng Yang
GUIM - General User and Item Embedding with Mixture of Representation in E-commerce. CoRR (2022)
Fangquan Lin, Wei Jiang, Hanwei Zhang, Cheng Yang
KDD CUP 2022 Wind Power Forecasting Team 88VIP Solution. CoRR (2022)
Ziqiang Cui, Yixin Su, Fangquan Lin, Cheng Yang, Hanwei Zhang, Jihai Zhang
Dual Disentangled Attention for Multi-Information Utilization in Sequential Recommendation. IJCNN (2022)
Jihai Zhang, Fangquan Lin, Cheng Yang, Wei Jiang
A New Sequential Prediction Framework with Spatial-temporal Embedding. SIGIR (2022)
Jihai Zhang, Fangquan Lin, Cheng Yang, Wei Wang
Deep Multi-Representational Item Network for CTR Prediction. SIGIR (2022)
Jihai Zhang, Fangquan Lin, Wei Jiang, Cheng Yang, Gaoge Liu
Neighbor-Augmented Transformer-Based Embedding for Retrieval. ICASSP (2022)
Wei Jiang, Fangquan Lin, Jihai Zhang, Cheng Yang, Hanwei Zhang, Ziqiang Cui
Dynamic Sequential Recommendation: Decoupling User Intent from Temporal Context. ICDM (Workshops) (2021)
Fangquan Lin, Wei Jiang, Jihai Zhang, Cheng Yang
Dynamic Popularity-Aware Contrastive Learning for Recommendation. ACML (2021)
Kingsley Nweye, Zoltán Nagy, Sharada 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
The CityLearn Challenge 2022: Overview, Results, and Lessons Learned. NeurIPS (Competition and Demos) (2021)
Cheng Yang, Shengnan Wang, Yuechuan Li, Chao Yang, Ming Yan, Jingqiao Zhang, Fangquan Lin
CoRe: An Efficient Coarse-refined Training Framework for BERT. CoRR (2020)