Wenchao Yu
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
43
Venues
19
Active years
2014–2026
Best venue rank
A*
Where they publish
Papers
43 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | EACL | DeepSieve: Information Sieving via LLM-as-a-Knowledge-Router. | Minghao Guo, Qingcheng Zeng, Xujiang Zhao, Yanchi Liu, Wenchao Yu, Mengnan Du, Haifeng Chen, Wei Cheng |
| 2026 | EACL | Multi-Agent Procedural Graph Extraction with Structural and Logical Refinement. | Wangyang Ying, Yanchi Liu, Xujiang Zhao, Wei Cheng, Zhengzhang Chen, Wenchao Yu, Yanjie Fu, Haifeng Chen |
| 2025 | AAAI | 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 |
| 2025 | ICASSP | TSLA: A Multi-Task Time Series Language Model. | Liri Fang, Yuncong Chen, Wenchao Yu, Yanchi Liu, Lu-An Tang, Vetle I. Torvik, Haifeng Chen |
| 2025 | ICDM | xTime: Extreme Event Prediction with Hierarchical Knowledge Distillation and Expert Fusion. | Quan Li, Wenchao Yu, Suhang Wang, Minhua Lin, Lingwei Chen, Wei Cheng, Haifeng Chen |
| 2025 | ICLR | 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 |
| 2025 | KDD | Multi-modal Time Series Analysis: A Tutorial and Survey. | Yushan Jiang, Kanghui Ning, Zijie Pan, Xuyang Shen, Jingchao Ni, Wenchao Yu, Anderson Schneider, Haifeng Chen, Yuriy Nevmyvaka, Dongjin Song |
| 2025 | NAACL | MixLLM: Dynamic Routing in Mixed Large Language Models. | Xinyuan Wang, Yanchi Liu, Wei Cheng, Xujiang Zhao, Zhengzhang Chen, Wenchao Yu, Yanjie Fu, Haifeng Chen |
| 2025 | NAACL | Position Really Matters: Towards a Holistic Approach for Prompt Tuning. | Xianjun Yang, Wei Cheng, Xujiang Zhao, Wenchao Yu, Linda Ruth Petzold, Haifeng Chen |
| 2024 | EMNLP | InfuserKI: Enhancing Large Language Models with Knowledge Graphs via Infuser-Guided Knowledge Integration. | Fali Wang, Runxue Bao, Suhang Wang, Wenchao Yu, Yanchi Liu, Wei Cheng, Haifeng Chen |
| 2024 | EMNLP | Large Language Models Can Be Contextual Privacy Protection Learners. | Yijia Xiao, Yiqiao Jin, Yushi Bai, Yue Wu, Xianjun Yang, Xiao Luo, Wenchao Yu, Xujiang Zhao, Yanchi Liu, Quanquan Gu, Haifeng Chen, Wei Wang, Wei Cheng |
| 2024 | IGARSS | A New Method of Noise Frequency Modulated Interference Suppression for SAR. | Lunhao Duan, Xingyu Lu, Shengqi Zhou, Jianchao Yang, Ke Tan, Zheng Dai, Wenchao Yu, Wenbin Zhu, Hong Gu |
| 2024 | KDD | PAIL: Performance based Adversarial Imitation Learning Engine for Carbon Neutral Optimization. | Yuyang Ye, Lu-An Tang, Haoyu Wang, Runlong Yu, Wenchao Yu, Erhu He, Haifeng Chen, Hui Xiong |
| 2024 | VLDB | InfuserKI: Enhancing Large Language Models with Knowledge Graphs via Infuser-Guided Knowledge Integration. | Fali Wang, Runxue Bao, Suhang Wang, Wenchao Yu, Yanchi Liu, Wei Cheng, Haifeng Chen |
| 2024 | WSDM | Interpretable Imitation Learning with Dynamic Causal Relations. | Tianxiang Zhao, Wenchao Yu, Suhang Wang, Lu Wang, Xiang Zhang, Yuncong Chen, Yanchi Liu, Wei Cheng, Haifeng Chen |
| 2023 | AAAI | 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 |
| 2023 | CISS | Interpretable Skill Learning for Dynamic Treatment Regimes through Imitation. | Yushan Jiang, Wenchao Yu, Dongjin Song, Wei Cheng, Haifeng Chen |
| 2023 | ICML | Personalized Federated Learning under Mixture of Distributions. | Yue Wu, Shuaicheng Zhang, Wenchao Yu, Yanchi Liu, Quanquan Gu, Dawei Zhou, Haifeng Chen, Wei Cheng |
| 2023 | KDD | FedSkill: Privacy Preserved Interpretable Skill Learning via Imitation. | Yushan Jiang, Wenchao Yu, Dongjin Song, Lu Wang, Wei Cheng, Haifeng Chen |
| 2023 | KDD | Skill Disentanglement for Imitation Learning from Suboptimal Demonstrations. | Tianxiang Zhao, Wenchao Yu, Suhang Wang, Lu Wang, Xiang Zhang, Yuncong Chen, Yanchi Liu, Wei Cheng, Haifeng Chen |
| 2022 | ICASSP | Seed: Sound Event Early Detection Via Evidential Uncertainty. | Xujiang Zhao, Xuchao Zhang, Wei Cheng, Wenchao Yu, Yuncong Chen, Haifeng Chen, Feng Chen |
| 2022 | ICDM | Personalized Federated Learning via Heterogeneous Modular Networks. | Tianchun Wang, Wei Cheng, Dongsheng Luo, Wenchao Yu, Jingchao Ni, Liang Tong, Haifeng Chen, Xiang Zhang |
| 2021 | AAAI | 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 |
| 2021 | CIKM | You Are What and Where You Are: Graph Enhanced Attention Network for Explainable POI Recommendation. | Zeyu Li, Wei Cheng, Haiqi Xiao, Wenchao Yu, Haifeng Chen, Wei Wang |
| 2021 | ICCV | Towards Robustness of Deep Neural Networks via Regularization. | Yao Li, Martin Renqiang Min, Thomas C. M. Lee, Wenchao Yu, Erik Kruus, Wei Wang, Cho-Jui Hsieh |
| 2021 | ICDM | Aspect-based Sentiment Classification via Reinforcement Learning. | Lichen Wang, Bo Zong, Yunyu Liu, Can Qin, Wei Cheng, Wenchao Yu, Xuchao Zhang, Haifeng Chen, Yun Fu |
| 2021 | IGARSS | Autofocus Method for Sparse Aperture ISAR Based on L0 Norm and NLTV Regularization. | Jianchao Yang, Xingyu Lu, Zheng Dai, Ke Tan, Wenchao Yu |
| 2021 | WSDM | Learning to Drop: Robust Graph Neural Network via Topological Denoising. | Dongsheng Luo, Wei Cheng, Wenchao Yu, Bo Zong, Jingchao Ni, Haifeng Chen, Xiang Zhang |
| 2020 | AAAI | 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 |
| 2020 | ICLR | 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 |
| 2020 | ICML | Robust Graph Representation Learning via Neural Sparsification. | Cheng Zheng, Bo Zong, Wei Cheng, Dongjin Song, Jingchao Ni, Wenchao Yu, Haifeng Chen, Wei Wang |
| 2020 | WWW | Adversarial Cooperative Imitation Learning for Dynamic Treatment Regimes✱. | Lu Wang, Wenchao Yu, Xiaofeng He, Wei Cheng, Martin Renqiang Ren, Wei Wang, Bo Zong, Haifeng Chen, Hongyuan Zha |
| 2019 | ICDM | Learning Robust Representations with Graph Denoising Policy Network. | Lu Wang, Wenchao Yu, Wei Wang, Wei Cheng, Wei Zhang, Hongyuan Zha, Xiaofeng He, Haifeng Chen |
| 2019 | ICDM | Self-Attentive Attributed Network Embedding Through Adversarial Learning. | Wenchao Yu, Wei Cheng, Charu C. Aggarwal, Bo Zong, Haifeng Chen, Wei Wang |
| 2019 | KDD | Universal Representation Learning of Knowledge Bases by Jointly Embedding Instances and Ontological Concepts. | Junheng Hao, Muhao Chen, Wenchao Yu, Yizhou Sun, Wei Wang |
| 2019 | SDM | Deep Co-Clustering. | Dongkuan Xu, Wei Cheng, Bo Zong, Jingchao Ni, Dongjin Song, Wenchao Yu, Yuncong Chen, Haifeng Chen, Xiang Zhang |
| 2018 | KDD | NetWalk: A Flexible Deep Embedding Approach for Anomaly Detection in Dynamic Networks. | Wenchao Yu, Wei Cheng, Charu C. Aggarwal, Kai Zhang, Haifeng Chen, Wei Wang |
| 2018 | KDD | Learning Deep Network Representations with Adversarially Regularized Autoencoders. | Wenchao Yu, Cheng Zheng, Wei Cheng, Charu C. Aggarwal, Dongjin Song, Bo Zong, Haifeng Chen, Wei Wang |
| 2018 | SDM | Modeling Co-Evolution Across Multiple Networks. | Wenchao Yu, Charu C. Aggarwal, Wei Wang |
| 2017 | IJCAI | Link Prediction with Spatial and Temporal Consistency in Dynamic Networks. | Wenchao Yu, Wei Cheng, Charu C. Aggarwal, Haifeng Chen, Wei Wang |
| 2017 | WSDM | Temporally Factorized Network Modeling for Evolutionary Network Analysis. | Wenchao Yu, Charu C. Aggarwal, Wei Wang |
| 2015 | ICDM | Max-Intensity: Detecting Competitive Advertiser Communities in Sponsored Search Market. | Wenchao Yu, Ariyam Das, Justin Wood, Wei Wang, Carlo Zaniolo, Ping Luo |
| 2014 | CEC | A route planning strategy for the automatic garment cutter based on genetic algorithm. | Wenchao Yu, Linji Lu |