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Cheng Yang 0008
Person information
- affiliation: Alibaba Group, DAMO Academy, Hangzhou, Zhejiang, China
Other persons with the same name
- Cheng Yang — disambiguation page
- Cheng Yang 0001 — Georgia Institute of Technology, Atlanta, GA, USA (and 1 more)
- Cheng Yang 0002
— Beijing University of Posts and Telecommunications, China (and 1 more)
- Cheng Yang 0003
- Cheng Yang 0004
- Cheng Yang 0005
- Cheng Yang 0006
- Cheng Yang 0007 — Tsinghua University, Tsinghua Shenzhen International Graduate School, China
- Cheng Yang 0009
- Cheng Yang 0010
- Cheng Yang 0011
- Cheng Yang 0012
- Cheng Yang 0013
- Cheng Yang 0014
- Cheng Yang 0015
- Cheng Yang 0016
- Cheng Yang 0017
- Cheng Yang 0018
- Cheng Yang 0019
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2020 – today
- 2025
- [j1]Yixin Su
Intrinsic and Extrinsic Factor Disentanglement for Recommendation in Various Context Scenarios. ACM Trans. Inf. Syst. 43(3): 82:1-82:32 (2025) - [c13]Ben Liu, Jihai Zhang, Fangquan Lin, Cheng Yang, Min Peng:
Filter-then-Generate: Large Language Models with Structure-Text Adapter for Knowledge Graph Completion. COLING 2025: 11181-11195 - [c12]Ben Liu
SymAgent: A Neural-Symbolic Self-Learning Agent Framework for Complex Reasoning over Knowledge Graphs. WWW 2025: 98-108 - [i8]Ben Liu, Jihai Zhang, Fangquan Lin, Cheng Yang, Min Peng, Wotao Yin:
SymAgent: A Neural-Symbolic Self-Learning Agent Framework for Complex Reasoning over Knowledge Graphs. CoRR abs/2502.03283 (2025) - [i7]Yixin Su, Wei Jiang, Fangquan Lin, Cheng Yang, Sarah M. Erfani, Junhao Gan, Yunxiang Zhao, Ruixuan Li, Rui Zhang:
Intrinsic and Extrinsic Factor Disentanglement for Recommendation in Various Context Scenarios. CoRR abs/2503.03524 (2025) - 2024
- [c11]Yuhang He
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 - [i6]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) - [i5]Ben Liu, Jihai Zhang, Fangquan Lin, Cheng Yang, Min Peng:
Filter-then-Generate: Large Language Models with Structure-Text Adapter for Knowledge Graph Completion. CoRR abs/2412.09094 (2024) - 2023
- [c9]Wei Jiang
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
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
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
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)
Coauthor Index
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