Yu, Wenchao

18 publications

NeurIPS 2025 Human Texts Are Outliers: Detecting LLM-Generated Texts via Out-of-Distribution Detection Cong Zeng, Shengkun Tang, Yuanzhou Chen, Zhiqiang Shen, Wenchao Yu, Xujiang Zhao, Haifeng Chen, Wei Cheng, Zhiqiang Xu

NeurIPS 2025 Multi-Modal View Enhanced Large Vision Models for Long-Term Time Series Forecasting ChengAo Shen, Wenchao Yu, Ziming Zhao, Dongjin Song, Wei Cheng, Haifeng Chen, Jingchao Ni

ICLR 2025 SFS: Smarter Code Space Search Improves LLM Inference Scaling Jonathan Light, Yue Wu, Yiyou Sun, Wenchao Yu, Yanchi Liu, Xujiang Zhao, Ziniu Hu, Haifeng Chen, Wei Cheng

AAAI 2025 TimeCAP: Learning to Contextualize, Augment, and Predict Time Series Events with Large Language Model Agents Geon Lee, Wenchao Yu, Kijung Shin, Wei Cheng, Haifeng Chen

NeurIPS 2025 TimeXL: Explainable Multi-Modal Time Series Prediction with LLM-in-the-Loop Yushan Jiang, Wenchao Yu, Geon Lee, Dongjin Song, Kijung Shin, Wei Cheng, Yanchi Liu, Haifeng Chen

ICML 2023 Personalized Federated Learning Under Mixture of Distributions Yue Wu, Shuaicheng Zhang, Wenchao Yu, Yanchi Liu, Quanquan Gu, Dawei Zhou, Haifeng Chen, Wei Cheng

AAAI 2023 Time Series Contrastive Learning with Information-Aware Augmentations Dongsheng Luo, Wei Cheng, Yingheng Wang, Dongkuan Xu, Jingchao Ni, Wenchao Yu, Xuchao Zhang, Yanchi Liu, Yuncong Chen, Haifeng Chen, Xiang Zhang

AAAI 2021 Multi-Task Recurrent Modular Networks Dongkuan Xu, Wei Cheng, Xin Dong, Bo Zong, Wenchao Yu, Jingchao Ni, Dongjin Song, Xuchao Zhang, Haifeng Chen, Xiang Zhang

ICCV 2021 Towards Robustness of Deep Neural Networks via Regularization Yao Li, Martin Renqiang Min, Thomas Lee, Wenchao Yu, Erik Kruus, Wei Wang, Cho-Jui Hsieh

ICLR 2020 Inductive and Unsupervised Representation Learning on Graph Structured Objects Lichen Wang, Bo Zong, Qianqian Ma, Wei Cheng, Jingchao Ni, Wenchao Yu, Yanchi Liu, Dongjin Song, Haifeng Chen, Yun Fu

ECML-PKDD 2020 Node Classification in Temporal Graphs Through Stochastic Sparsification and Temporal Structural Convolution Cheng Zheng, Bo Zong, Wei Cheng, Dongjin Song, Jingchao Ni, Wenchao Yu, Haifeng Chen, Wei Wang

NeurIPS 2020 Parameterized Explainer for Graph Neural Network Dongsheng Luo, Wei Cheng, Dongkuan Xu, Wenchao Yu, Bo Zong, Haifeng Chen, Xiang Zhang

ICML 2020 Robust Graph Representation Learning via Neural Sparsification Cheng Zheng, Bo Zong, Wei Cheng, Dongjin Song, Jingchao Ni, Wenchao Yu, Haifeng Chen, Wei Wang

AAAI 2020 Tensorized LSTM with Adaptive Shared Memory for Learning Trends in Multivariate Time Series Dongkuan Xu, Wei Cheng, Bo Zong, Dongjin Song, Jingchao Ni, Wenchao Yu, Yanchi Liu, Haifeng Chen, Xiang Zhang

ECML-PKDD 2017 Event Detection and Summarization Using Phrase Network Sara Melvin, Wenchao Yu, Peng Ju, Sean D. Young, Wei Wang

IJCAI 2017 Link Prediction with Spatial and Temporal Consistency in Dynamic Networks Wenchao Yu, Wei Cheng, Charu C. Aggarwal, Haifeng Chen, Wei Wang

ECML-PKDD 2014 Transfer Learning with Multiple Sources via Consensus Regularized Autoencoders Fuzhen Zhuang, Xiaohu Cheng, Sinno Jialin Pan, Wenchao Yu, Qing He, Zhongzhi Shi

ECML-PKDD 2013 Embedding with Autoencoder Regularization Wenchao Yu, Guangxiang Zeng, Ping Luo, Fuzhen Zhuang, Qing He, Zhongzhi Shi