Wei Jiang - RankMe

12 papers A* 1A 1C 1Misc 1Journal 6Unranked 2

Year	Rank	Type	Title / Venue / Authors
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
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	J	`jnl`	Adaptive Bayesian SLOPE: Model Selection With Incomplete Data. J. Comput. Graph. Stat. Wei Jiang, Malgorzata Bogdan, Julie Josse, Szymon Majewski, Blazej Miasojedow, Veronika Rocková
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`	Logistic regression with missing covariates - Parameter estimation, model selection and prediction within a joint-modeling framework. Comput. Stat. Data Anal. Wei Jiang, Julie Josse, Marc Lavielle, TraumaBase Group