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2020 – today
- 2024
[c11]Yuhang He, Jihai Zhang, Jianzhu Bao, Fangquan Lin, Cheng Yang, Bing Qin, Ruifeng Xu, Wotao Yin:
BC-Prover: Backward Chaining Prover for Formal Theorem Proving. EMNLP 2024: 3059-3077- [c10]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. NAACL (Industry Track) 2024: 483-490 - [i5]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 abs/2407.07924 (2024) - 2023
- [c9]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: 4646-4652 - [i4]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 abs/2309.08642 (2023) - 2022
- [c8]Jihai Zhang, Fangquan Lin, Cheng Yang, Ziqiang Cui:
An Enhanced Gated Graph Neural Network for E-commerce Recommendation. CIKM 2022: 4677-4681 - [c7]Jihai Zhang, Fangquan Lin, Wei Jiang, Cheng Yang, Gaoge Liu:
Neighbor-Augmented Transformer-Based Embedding for Retrieval. ICASSP 2022: 3893-3897 - [c6]Ziqiang Cui, Yixin Su, Fangquan Lin, Cheng Yang, Hanwei Zhang, Jihai Zhang:
Dual Disentangled Attention for Multi-Information Utilization in Sequential Recommendation. IJCNN 2022: 1-8 - [c5]Jihai Zhang, Fangquan Lin, Cheng Yang, Wei Wang:
Deep Multi-Representational Item Network for CTR Prediction. SIGIR 2022: 2277-2281 - [c4]Jihai Zhang, Fangquan Lin, Cheng Yang, Wei Jiang:
A New Sequential Prediction Framework with Spatial-temporal Embedding. SIGIR 2022: 2282-2286 - [i3]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 abs/2207.00750 (2022) - [i2]Fangquan Lin, Wei Jiang, Hanwei Zhang, Cheng Yang:
KDD CUP 2022 Wind Power Forecasting Team 88VIP Solution. CoRR abs/2208.08952 (2022) - 2021
- [c3]Fangquan Lin, Wei Jiang, Jihai Zhang, Cheng Yang:
Dynamic Popularity-Aware Contrastive Learning for Recommendation. ACML 2021: 964-968 - [c2]Wei Jiang, Fangquan Lin, Jihai Zhang, Cheng Yang, Hanwei Zhang, Ziqiang Cui:
Dynamic Sequential Recommendation: Decoupling User Intent from Temporal Context. ICDM (Workshops) 2021: 18-26 - [c1]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:
The CityLearn Challenge 2022: Overview, Results, and Lessons Learned. NeurIPS (Competition and Demos) 2021: 85-103 - 2020
- [i1]Cheng Yang, Shengnan Wang, Yuechuan Li, Chao Yang, Ming Yan, Jingqiao Zhang, Fangquan Lin:
CoRe: An Efficient Coarse-refined Training Framework for BERT. CoRR abs/2011.13633 (2020)
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last updated on 2024-11-15 20:35 CET by the dblp team
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