| Tapnet: Multivariate time series classification with attentional prototypical network X Zhang, Y Gao, J Lin, CT Lu Proceedings of the AAAI conference on artificial intelligence 34 (04), 6845-6852, 2020 | 333 | 2020 |
| Domain specialization as the key to make large language models disruptive: A comprehensive survey C Ling, X Zhao, J Lu, C Deng, C Zheng, J Wang, T Chowdhury, Y Li, ... arXiv preprint arXiv:2305.18703, 2023 | 111 | 2023 |
| Online purchase prediction via multi-scale modeling of behavior dynamics C Huang, X Wu, X Zhang, C Zhang, J Zhao, D Yin, NV Chawla Proceedings of the 25th ACM SIGKDD international conference on knowledge …, 2019 | 104 | 2019 |
| Recommending root-cause and mitigation steps for cloud incidents using large language models T Ahmed, S Ghosh, C Bansal, T Zimmermann, X Zhang, S Rajmohan 2023 IEEE/ACM 45th International Conference on Software Engineering (ICSE …, 2023 | 102 | 2023 |
| Automatic root cause analysis via large language models for cloud incidents Y Chen, H Xie, M Ma, Y Kang, X Gao, L Shi, Y Cao, X Gao, H Fan, M Wen, ... Proceedings of the Nineteenth European Conference on Computer Systems, 674-688, 2024 | 61 | 2024 |
| Time series contrastive learning with information-aware augmentations D Luo, W Cheng, Y Wang, D Xu, J Ni, W Yu, X Zhang, Y Liu, Y Chen, ... Proceedings of the AAAI Conference on Artificial Intelligence 37 (4), 4534-4542, 2023 | 56 | 2023 |
| Dynamic gaussian mixture based deep generative model for robust forecasting on sparse multivariate time series Y Wu, J Ni, W Cheng, B Zong, D Song, Z Chen, Y Liu, X Zhang, H Chen, ... Proceedings of the AAAI Conference on Artificial Intelligence 35 (1), 651-659, 2021 | 55 | 2021 |
| Mitigating uncertainty in document classification X Zhang, F Chen, CT Lu, N Ramakrishnan arXiv preprint arXiv:1907.07590, 2019 | 50 | 2019 |
| Beyond one-model-fits-all: A survey of domain specialization for large language models C Ling, X Zhao, J Lu, C Deng, C Zheng, J Wang, T Chowdhury, Y Li, ... arXiv preprint arXiv:2305.18703, 2023 | 47 | 2023 |
| Towards more accurate uncertainty estimation in text classification J He, X Zhang, S Lei, Z Chen, F Chen, A Alhamadani, B Xiao, CT Lu Proceedings of the 2020 Conference on Empirical Methods in Natural Language …, 2020 | 42 | 2020 |
| Temporal context-aware representation learning for question routing X Zhang, W Cheng, B Zong, Y Chen, J Xu, D Li, H Chen Proceedings of the 13th international conference on web search and data …, 2020 | 40 | 2020 |
| Cross-domain few-shot semantic segmentation S Lei, X Zhang, J He, F Chen, B Du, CT Lu European conference on computer vision, 73-90, 2022 | 36 | 2022 |
| DNAX-activating protein 10 co-stimulation enhances the anti-tumor efficacy of chimeric antigen receptor T cells R Zhao, L Cheng, Z Jiang, X Wei, B Li, Q Wu, S Wang, S Lin, Y Long, ... Oncoimmunology 8 (1), e1509173, 2019 | 34 | 2019 |
| Cat: Beyond efficient transformer for content-aware anomaly detection in event sequences S Zhang, Y Liu, X Zhang, W Cheng, H Chen, H Xiong Proceedings of the 28th ACM SIGKDD conference on knowledge discovery and …, 2022 | 32 | 2022 |
| Exploring llm-based agents for root cause analysis D Roy, X Zhang, R Bhave, C Bansal, P Las-Casas, R Fonseca, ... Companion Proceedings of the 32nd ACM International Conference on the …, 2024 | 30 | 2024 |
| Empowering practical root cause analysis by large language models for cloud incidents Y Chen, H Xie, M Ma, Y Kang, X Gao, L Shi, Y Cao, X Gao, H Fan, M Wen, ... arXiv preprint arXiv:2305.15778, 2023 | 25 | 2023 |
| Spatiotemporal event forecasting from incomplete hyper-local price data X Zhang, L Zhao, AP Boedihardjo, CT Lu, N Ramakrishnan Proceedings of the 2017 ACM on Conference on Information and Knowledge …, 2017 | 24 | 2017 |
| Automated root causing of cloud incidents using in-context learning with GPT-4 X Zhang, S Ghosh, C Bansal, R Wang, M Ma, Y Kang, S Rajmohan Companion Proceedings of the 32nd ACM International Conference on the …, 2024 | 22 | 2024 |
| Self-paced robust learning for leveraging clean labels in noisy data X Zhang, X Wu, F Chen, L Zhao, CT Lu Proceedings of the AAAI conference on artificial intelligence 34 (04), 6853-6860, 2020 | 21 | 2020 |
| Multimodal Storytelling via Generative Adversarial Imitation Learning Z Chen, X Zhang, AP Boedihardjo, J Dai, CT Lu Proceeding of the 26th International Joint Conference on Artificial …, 2017 | 20 | 2017 |
Chang-Tien Lu, IEEE FellowComputer Science, Virginia TechVerificeret mail på vt.edu