| 4D Gaussian Splatting for Real-Time Dynamic Scene Rendering W Guanjun, Y Taoran, F Jiemin, X Lingxi, Z Xiaopeng, W Wei, L Wenyu, ... The IEEE/CVF Conference on Computer Vision and Pattern Recognition 2024 …, 2024 | 1184* | 2024 |
| Global Context Enhanced Graph Neural Networks for Session-based Recommendation W Ziyang, W Wei*, C Gao, Xiaoli-Li, M Xian-Ling, Q Minghui SIGIR'2020；arxiv:2106.05081, 2020 | 706 | 2020 |
| Spatial-Temporal Identity: A Simple yet Effective Baseline for Multivariate Time Series Forecasting S Zezhi, Z Zhao, W Fei, W Wei, X Yongjun CIKM 2022 (Short Paper), 2022 | 444* | 2022 |
| Exploiting geographical neighborhood characteristics for location recommendation Y Liu, W Wei*, A Sun, C Miao Proceedings of the 23rd ACM international conference on conference on …, 2014 | 423 | 2014 |
| Decoupled Dynamic Spatial-Temporal Graph Neural Network for Traffic Forecasting Z Shao, Z Zhang, W Wei*, F Wang*, Y Xu, X Cao, CS Jensen PVLDB 2022; arXiv:2206.09112, 2022 | 421 | 2022 |
| Deep Representation Learning for Trajectory Similarity Computation X Li, K Zhao, G Cong, CS Jensen, W Wei 34th IEEE International Conference on Data Engineering (ICDE'18), 2018 | 397 | 2018 |
| Multi-level Cross-view Contrastive Learning for Knowledge-aware Recommender System D Zou, W Wei*, XL Mao, Z Wang, M Qiu, F Zhu, X Cao SIGIR 2022; arXiv preprint arXiv:2204.08807, 2022 | 258 | 2022 |
| Exploring Progress in Multivariate Time Series Forecasting: Comprehensive Benchmarking and Heterogeneity Analysis S Zezhi, W Fei, X Yongjun, W Wei, Y Chengqing, Z Zhao, Y Di, S Tao, ... IEEE Transactions on Knowledge and Data Engineering (TKDE), 2025 | 218* | 2025 |
| Context-aware Biaffine Localizing Network for Temporal Sentence Grounding D Liu, X Qu, J Dong, P Zhou, Y Cheng, W Wei, Z Xu, Y Xie CVPR 2021, 2021 | 206 | 2021 |
| Multi-view Intent Disentangle Graph Networks for Bundle Recommendation S Zhao, W Wei*, D Zou, XL Mao AAAI 2022; arXiv:2202.11425, 2022 | 146 | 2022 |
| BiSyn-GAT+: Bi-Syntax Aware Graph Attention Network for Aspect-based Sentiment Analysis. L Shuo, W Wei*, M Xian-Ling, W Fei, Zhiyong, He Findings of ACL 2022; arxiv:2204.03117, 2022 | 110* | 2022 |
| Improving knowledge-aware recommendation with multi-level interactive contrastive learning D Zou, W Wei*, Z Wang, XL Mao, F Zhu, R Fang, D Chen Proceedings of the 31st ACM international conference on information …, 2022 | 109 | 2022 |
| Twin-Merging: Dynamic Integration of Modular Expertise in Model Merging L Zhenyi#, F Chenghao#, W Wei*, Q Xiaoye, C Dangyang, C Yu NeurIPS 2024, 2024 | 104* | 2024 |
| Deep Cross-Modal Hashing with Hashing Functions and Unified Hash Codes Jointly Learning RC Tu, XL Mao, B Ma, Y Hu, T Yan, W Wei, H Huang IEEE Transactions on Knowledge and Data Engineering (TKDE), 2020 | 100 | 2020 |
| MLS3RDUH: Deep Unsupervised Hashing via Manifold based Local Semantic Similarity Structure Reconstructing RC Tu, XL Mao, W Wei IJCAI 2020, 2020 | 85 | 2020 |
| Emotion-aware Chat Machine: Automatic Emotional Response Generation for Human-like Emotional Interaction W Wei, L Jiayi, M Xianling, G Guibing, Z Feida, P Zhou, H Yuchong CIKM 2019; arxiv:2106.03044, 2019 | 83 | 2019 |
| Semi-supervised ranking on very large graphs with rich metadata B Gao, TY Liu, W Wei*, T Wang, H Li Proceedings of the 17th ACM SIGKDD international conference on Knowledge …, 2011 | 80 | 2011 |
| STAGE: Span Tagging and Greedy Inference Scheme for Aspect Sentiment Triplet Extraction L Shuo, W Wei*, M Xian-Ling, F Yuanyuan, F Rui, C Dangyang AAAI 2023;arXiv:2211.15003, 2023 | 65* | 2023 |
| A survey on recent advances in sequence labeling from deep learning models Z He, Z Wang, W Wei*, S Feng, X Mao, S Jiang arXiv preprint arXiv:2011.06727, 2020 | 63 | 2020 |
| PONE: A Novel Automatic Evaluation Metric for Open-Domain Generative Dialogue Systems HH Tian Lan, Xian-Ling Mao, Wei Wei, Xiaoyan Gao ACM TOIS, 2020 | 58* | 2020 |
Xian-Ling MaoBeijing Institute of TechnologyVerified email at bit.edu.cn
