| AnnoLLM: Making Large Language Models to Be Better Crowdsourced Annotators X He, Z Lin, Y Gong, A Jin, H Zhang, C Lin, J Jiao, SM Yiu, N Duan, ... NAACL 2024 Industry Track, 2023 | 171 | 2023 |
| Tweet modeling with LSTM recurrent neural networks for hashtag recommendation J Li, H Xu, X He, J Deng, X Sun International Joint Conference on Neural Networks, 2016 | 90 | 2016 |
| Parallel Refinements for Lexically Constrained Text Generation with BART X He EMNLP 2021 (Long Paper), 2021 | 47 | 2021 |
| Show Me How To Revise: Improving Lexically Constrained Sentence Generation with XLNet X He, VOK Li AAAI 2021, 2021 | 26 | 2021 |
| FastBTM: Reducing the Sampling Time for Biterm Topic Model X He, H Xu, J Li, L He, L Yu Knowledge-Based Systems 132, 11-20, 2017 | 25 | 2017 |
| Controllable Dictionary Example Generation: Generating Example Sentences for Specific Targeted Audiences X He, SM Yiu ACL 2022 (Long Paper), 2022 | 18 | 2022 |
| Metric-guided Distillation: Distilling Knowledge from the Metric to Ranker and Retriever for Generative Commonsense Reasoning X He, Y Gong, AL Jin, W Qi, H Zhang, J Jiao, B Zhou, B Cheng, SM Yiu, ... EMNLP 2022 (Long Paper, Oral Presentation), 2022 | 17 | 2022 |
| A survey of generative techniques for spatial-temporal data mining Q Zhang, H Wang, C Long, L Su, X He, J Chang, T Wu, H Yin, SM Yiu, ... arXiv preprint arXiv:2405.09592, 2024 | 7 | 2024 |
| ABiRCNN with Neural Tensor Network for Answer Selection X He, H Xu, X Sun, J Deng, J Li International Joint Conference on Neural Networks, 2017 | 4 | 2017 |
| Optimize Collapsed Gibbs Sampling for Biterm Topic Model by Alias Method X He, H Xu, X Sun, J Deng, X Bai, J Li International Joint Conference on Neural Networks, 2017 | 3 | 2017 |
| Enhancing few-shot stock trend prediction with large language models Y Deng, X He, J Hu, SM Yiu arXiv preprint arXiv:2407.09003, 2024 | 2 | 2024 |
| PivotFEC: Enhancing Few-shot Factual Error Correction with a Pivot Task Approach using Large Language Models X He, AL Jin, J Ma, Y Yuan, S Yiu EMNLP 2023 Findings (Long Paper), 9960-9976, 2023 | 2 | 2023 |
| Noisy Pair Corrector for Dense Retrieval H Zhang, Y Gong, X He, D Liu, D Guo, J Lv, J Guo EMNLP 2023 Findings (Long Paper), 2023 | 2 | 2023 |
| CAPSTONE: Curriculum Sampling for Dense Retrieval with Document Expansion X He, Y Gong, A Jin, H Zhang, A Dong, J Jiao, SM Yiu, N Duan EMNLP 2023 (Long Paper), 2023 | 2* | 2023 |
| TUBench: Benchmarking Large Vision-Language Models on Trustworthiness with Unanswerable Questions X He, Q Zhang, A Jin, Y Yuan, SM Yiu arXiv preprint arXiv:2410.04107, 2024 | 1 | 2024 |
| Improving Factual Error Correction by Learning to Inject Factual Errors X He, Q Zhang, A Jin, J Ma, Y Yuan, SM Yiu AAAI 2024, 2024 | 1 | 2024 |
| Dense retrieval employing progressive distillation training J Jiao, G Yeyun, HE Xingwei, N Duan, E Manavoglu US Patent 12,111,837, 2024 | | 2024 |
| A Survey on Point-of-Interest Recommendation: Models, Architectures, and Security Q Zhang, P Yang, J Yu, H Wang, X He, SM Yiu, H Yin arXiv preprint arXiv:2410.02191, 2024 | | 2024 |
| Knowledge Enhanced Pre-training for Cross-lingual Dense Retrieval H Zhang, Y Gong, D Liu, S Zhang, X He, J Lv, J Guo COLING 2024, 9810-9821, 2024 | | 2024 |
Siu-Ming YiuProfessor of Computer Science, The University of Hong KongEmail được xác minh tại cs.hku.hk