| Geniepath: Graph neural networks with adaptive receptive paths Z Liu, C Chen, L Li, J Zhou, X Li, L Song, Y Qi Proceedings of the AAAI conference on artificial intelligence 33 (01), 4424-4431, 2019 | 357 | 2019 |
| Hybrid deep neural network--hidden markov model (dnn-hmm) based speech emotion recognition L Li, Y Zhao, D Jiang, Y Zhang, F Wang, I Gonzalez, E Valentin, H Sahli 2013 Humaine association conference on affective computing and intelligent …, 2013 | 232 | 2013 |
| Cross-domain recommendation: challenges, progress, and prospects F Zhu, Y Wang, C Chen, J Zhou, L Li, G Liu arXiv preprint arXiv:2103.01696, 2021 | 225 | 2021 |
| Distributed deep forest and its application to automatic detection of cash-out fraud YL Zhang, J Zhou, W Zheng, J Feng, L Li, Z Liu, M Li, Z Zhang, C Chen, ... ACM Transactions on Intelligent Systems and Technology (TIST) 10 (5), 1-19, 2019 | 92 | 2019 |
| Anomaly detection with partially observed anomalies YL Zhang, L Li, J Zhou, X Li, ZH Zhou Companion Proceedings of the The Web Conference 2018, 639-646, 2018 | 79 | 2018 |
| A unified framework for cross-domain and cross-system recommendations F Zhu, Y Wang, J Zhou, C Chen, L Li, G Liu IEEE Transactions on Knowledge and Data Engineering, 2021 | 69 | 2021 |
| Kunpeng: Parameter server based distributed learning systems and its applications in alibaba and ant financial J Zhou, X Li, P Zhao, C Chen, L Li, X Yang, Q Cui, J Yu, X Chen, Y Ding, ... Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge …, 2017 | 51 | 2017 |
| Enhancing recommender systems with large language model reasoning graphs Y Wang, Z Chu, X Ouyang, S Wang, H Hao, Y Shen, J Gu, S Xue, ... arXiv preprint arXiv:2308.10835, 2023 | 48 | 2023 |
| Multi-interactive attention network for fine-grained feature learning in ctr prediction K Zhang, H Qian, Q Cui, Q Liu, L Li, J Zhou, J Ma, E Chen Proceedings of the 14th ACM international conference on web search and data …, 2021 | 48 | 2021 |
| Sail: Self-augmented graph contrastive learning L Yu, S Pei, L Ding, J Zhou, L Li, C Zhang, X Zhang Proceedings of the AAAI Conference on Artificial Intelligence 36 (8), 8927-8935, 2022 | 46 | 2022 |
| POSTER: A PU learning based system for potential malicious URL detection YL Zhang, L Li, J Zhou, X Li, Y Liu, Y Zhang, ZH Zhou Proceedings of the 2017 ACM SIGSAC conference on computer and communications …, 2017 | 46 | 2017 |
| Leveraging large language models for pre-trained recommender systems Z Chu, H Hao, X Ouyang, S Wang, Y Wang, Y Shen, J Gu, Q Cui, L Li, ... arXiv preprint arXiv:2308.10837, 2023 | 43 | 2023 |
| Locally connected deep learning framework for industrial-scale recommender systems C Chen, P Zhao, L Li, J Zhou, X Li, M Qiu Proceedings of the 26th international conference on World Wide Web companion …, 2017 | 36 | 2017 |
| Safe: Scalable automatic feature engineering framework for industrial tasks Q Shi, YL Zhang, L Li, X Yang, M Li, J Zhou 2020 IEEE 36th International Conference on Data Engineering (ICDE), 1645-1656, 2020 | 30 | 2020 |
| Unleashing the power of graph data augmentation on covariate distribution shift Y Sui, Q Wu, J Wu, Q Cui, L Li, J Zhou, X Wang, X He Advances in Neural Information Processing Systems 36, 2024 | 29 | 2024 |
| Metacare++: Meta-learning with hierarchical subtyping for cold-start diagnosis prediction in healthcare data Y Tan, C Yang, X Wei, C Chen, W Liu, L Li, J Zhou, X Zheng Proceedings of the 45th International ACM SIGIR Conference on Research and …, 2022 | 27 | 2022 |
| Simtrojan: Stealthy backdoor attack Y Ren, L Li, J Zhou 2021 IEEE International Conference on Image Processing (ICIP), 819-823, 2021 | 21 | 2021 |
| Autotransformer: Automatic transformer architecture design for time series classification Y Ren, L Li, X Yang, J Zhou Pacific-Asia Conference on Knowledge Discovery and Data Mining, 143-155, 2022 | 18 | 2022 |
| Enhancing recommendation with automated tag taxonomy construction in hyperbolic space Y Tan, C Yang, X Wei, C Chen, L Li, X Zheng 2022 IEEE 38th International Conference on Data Engineering (ICDE), 1180-1192, 2022 | 16 | 2022 |
| A time attention based fraud transaction detection framework L Li, Z Liu, C Chen, YL Zhang, J Zhou, X Li arXiv preprint arXiv:1912.11760, 2019 | 15 | 2019 |
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