| Fi-gnn: Modeling feature interactions via graph neural networks for ctr prediction Z Li*, Z Cui*, S Wu, X Zhang, L Wang CIKM 2019, 2019 | 188 | 2019 |
| Neurostylist: Neural compatibility modeling for clothing matching X Song, F Feng, J Liu, Z Li, L Nie, J Ma ACM MM 2017, 2017 | 186 | 2017 |
| Dressing as a whole: Outfit compatibility learning based on node-wise graph neural networks Z Cui*, Z Li*, S Wu, XY Zhang, L Wang WWW 2019, 2019 | 127 | 2019 |
| Explanations from large language models make small reasoners better S Li, J Chen, Y Shen, Z Chen, X Zhang, Z Li, H Wang, J Qian, B Peng, ... AAAI 2024 SAI, 2022 | 62 | 2022 |
| Cold-start Sequential Recommendation via Meta Learner Y Zheng, S Liu, Z Li, S Wu AAAI 2020, 2020 | 58 | 2020 |
| Limitations of language models in arithmetic and symbolic induction J Qian, H Wang, Z Li, S Li, X Yan ACL 2023, 2022 | 43 | 2022 |
| Dgtn: Dual-channel graph transition network for session-based recommendation Y Zheng, S Liu, Z Li, S Wu ICDM 2020 NeuRec, 2020 | 43 | 2020 |
| Guiding Large Language Models via Directional Stimulus Prompting Z Li, B Peng, P He, M Galley, J Gao, X Yan NeurIPS 2023, 2023 | 34 | 2023 |
| DYGCN: Dynamic graph embedding with graph convolutional network Z Cui*, Z Li*, S Wu, X Zhang, Q Liu, L Wang, M Ai IEEE Transactions on Neural Networks and Learning Systems, 2021 | 24* | 2021 |
| Controllable Dialogue Simulation with In-Context Learning Z Li, W Chen, S Li, H Wang, J Qian, X Yan EMNLP 2022 Findings, 2022 | 23 | 2022 |
| GraphFM: Graph factorization machines for feature interaction modeling Z Li, S Wu, Z Cui, X Zhang arXiv preprint arXiv:2105.11866, 2021 | 18 | 2021 |
| Alpacare: Instruction-tuned large language models for medical application X Zhang, C Tian, X Yang, L Chen, Z Li, LR Petzold arXiv preprint arXiv:2310.14558, 2023 | 12 | 2023 |
| Evaluating the instruction-following robustness of large language models to prompt injection Z Li, B Peng, P He, X Yan | 10* | 2023 |
| Weakly-supervised action localization via embedding-modeling iterative optimization XY Zhang, H Shi, C Li, P Li, Z Li, P Ren Pattern Recognition 113, 107831, 2021 | 9 | 2021 |
| Semi-supervised compatibility learning across categories for clothing matching Z Li, Z Cui, S Wu, X Zhang, L Wang ICME 2019, 2019 | 8 | 2019 |
| Making Something out of Nothing: Building Robust Task-oriented Dialogue Systems from Scratch Z Li, H Wang, A Albalak, Y Yang, J Qian, S Li, X Yan 1st Proceedings of Alexa Prize TaskBot (Alexa Prize 2021)., 2022 | 6 | 2022 |
| Time Series as Images: Vision Transformer for Irregularly Sampled Time Series Z Li, S Li, X Yan NeurIPS 2023, 2023 | 5 | 2023 |
| Heterogeneous graph collaborative filtering Z Li, Y Zheng, S Wu, X Zhang, L Wang arXiv preprint arXiv:2011.06807, 2020 | 5 | 2020 |
| ChatEdit: Towards multi-turn interactive image editing via dialogue X Cui*, Z Li*, P Li, Y Hu, H Shi, Z He EMNLP 2023, 2023 | 2* | 2023 |
| Enhancing Large Language Model Induced Task-Oriented Dialogue Systems Through Look-Forward Motivated Goals Z Hu, Y Feng, Y Deng, Z Li, SK Ng, AT Luu, B Hooi arXiv preprint arXiv:2309.08949, 2023 | 1 | 2023 |
Shu WuNational Laboratory of Pattern Recognition (NLPR), Institute of Automation, CASVerified email at nlpr.ia.ac.cn
