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ORCIDWendi Li
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2020 – today
- 2024
[j7]Zhenyu Chen, Chen Zhang, Wendi Li, Lanyu Gao, Liming Liu, Lei Fang, Changsheng Zhang
:
Fire danger forecasting using machine learning-based models and meteorological observation: a case study in Northeastern China. Multim. Tools Appl. 83(22): 61861-61881 (2024)- [c7]Shixuan Fan, Wei Wei, Wendi Li, Xian-Ling Mao, Wenfeng Xie, Dangyang Chen:
Position Debiasing Fine-Tuning for Causal Perception in Long-Term Dialogue. IJCAI 2024: 6261-6269 - [c6]Wendi Li, Wei Wei, Kaihe Xu, Wenfeng Xie, Dangyang Chen, Yu Cheng:
Reinforcement Learning with Token-level Feedback for Controllable Text Generation. NAACL-HLT (Findings) 2024: 1704-1719 - [i5]Wendi Li, Wei Wei, Kaihe Xu, Wenfeng Xie, Dangyang Chen, Yu Cheng:
Reinforcement Learning with Token-level Feedback for Controllable Text Generation. CoRR abs/2403.11558 (2024) - [i4]Shixuan Fan, Wei Wei, Wendi Li, Xian-Ling Mao, Wenfeng Xie, Dangyang Chen:
Position Debiasing Fine-Tuning for Causal Perception in Long-Term Dialogue. CoRR abs/2406.02002 (2024) - 2023
- [j6]Wendi Li, Ting Wang, Wing W. Y. Ng:
Population-Based Hyperparameter Tuning With Multitask Collaboration. IEEE Trans. Neural Networks Learn. Syst. 34(9): 5719-5731 (2023) - [c5]Wendi Li, Wei Wei, Xiaoye Qu, Xian-Ling Mao, Ye Yuan, Wenfeng Xie, Dangyang Chen:
TREA: Tree-Structure Reasoning Schema for Conversational Recommendation. ACL (1) 2023: 2970-2982 - [c4]Sen Zhao, Wei Wei, Yifan Liu, Ziyang Wang, Wendi Li, Xian-Ling Mao, Shuai Zhu, Minghui Yang, Zujie Wen:
Towards Hierarchical Policy Learning for Conversational Recommendation with Hypergraph-based Reinforcement Learning. IJCAI 2023: 2459-2467 - [i3]Sen Zhao, Wei Wei, Yifan Liu, Ziyang Wang, Wendi Li, Xian-Ling Mao, Shuai Zhu, Minghui Yang, Zujie Wen:
Towards Hierarchical Policy Learning for Conversational Recommendation with Hypergraph-based Reinforcement Learning. CoRR abs/2305.02575 (2023) - [i2]Wendi Li, Wei Wei, Xiaoye Qu, Xian-Ling Mao, Ye Yuan, Wenfeng Xie, Dangyang Chen:
TREA: Tree-Structure Reasoning Schema for Conversational Recommendation. CoRR abs/2307.10543 (2023) - 2022
- [c3]Wendi Li, Xiao Yang, Weiqing Liu, Yingce Xia, Jiang Bian:
DDG-DA: Data Distribution Generation for Predictable Concept Drift Adaptation. AAAI 2022: 4092-4100 - [i1]Wendi Li, Xiao Yang, Weiqing Liu, Yingce Xia, Jiang Bian:
DDG-DA: Data Distribution Generation for Predictable Concept Drift Adaptation. CoRR abs/2201.04038 (2022) - 2021
- [j5]Ting Wang, Wing W. Y. Ng, Wendi Li, Sam Kwong:
Broad Autoencoder Features Learning for Classification Problem. Int. J. Cogn. Informatics Nat. Intell. 15(4): 1-15 (2021) - [j4]Wendi Li, Wing W. Y. Ng, Ting Wang, Marcello Pelillo, Sam Kwong:
HELP: An LSTM-based approach to hyperparameter exploration in neural network learning. Neurocomputing 442: 161-172 (2021) - 2020
- [j3]Yuanyuan Liu, Wendi Li, Xiuqin Li:
On geometric and algebraic transience for block-structured Markov chains. J. Appl. Probab. 57(4): 1313-1338 (2020)
2010 – 2019
- 2019
- [j2]Wendi Li, Yuanyuan Liu, Yiqiang Q. Zhao:
Exact tail asymptotics for fluid models driven by an M/M/c queue. Queueing Syst. Theory Appl. 91(3-4): 319-346 (2019) - [c2]Ting Wang, Wing W. Y. Ng, Wendi Li, Sam Kwong, Jingde Li:
Broad Autoencoder Features Learning for Pattern Classification Problems. ICCI*CC 2019: 130-135 - [c1]Wendi Li, Yi Zhu, Ting Wang, Wing W. Y. Ng:
Multi-Task Learning With Localized Generalization Error Model. ICMLC 2019: 1-8 - 2018
- [j1]Yuanyuan Liu, Wendi Li, Hiroyuki Masuyama:
Error bounds for augmented truncation approximations of continuous-time Markov chains. Oper. Res. Lett. 46(4): 409-413 (2018)
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