| Adversarial attacks and defenses in images, graphs and text: A review H Xu, Y Ma, HC Liu, D Deb, H Liu, JL Tang, AK Jain International journal of automation and computing 17, 151-178, 2020 | 755 | 2020 |
| Exploring the potential of large language models (llms) in learning on graphs Z Chen, H Mao, H Li, W Jin, H Wen, X Wei, S Wang, D Yin, W Fan, H Liu, ... ACM SIGKDD Explorations Newsletter 25 (2), 42-61, 2024 | 193 | 2024 |
| Current researches and future development trend of intelligent robot: A review TM Wang, Y Tao, H Liu International Journal of Automation and Computing 15 (5), 525-546, 2018 | 169 | 2018 |
| A comprehensive survey on trustworthy graph neural networks: Privacy, robustness, fairness, and explainability E Dai, T Zhao, H Zhu, J Xu, Z Guo, H Liu, J Tang, S Wang Machine Intelligence Research, 1-51, 2024 | 133 | 2024 |
| Optimal placement and configuration of roadside units in vehicular networks Y Liang, H Liu, D Rajan 2012 IEEE 75th Vehicular Technology Conference (VTC Spring), 1-6, 2012 | 122 | 2012 |
| Does gender matter? towards fairness in dialogue systems H Liu, J Dacon, W Fan, H Liu, Z Liu, J Tang arXiv preprint arXiv:1910.10486, 2019 | 121 | 2019 |
| Autoemb: Automated embedding dimensionality search in streaming recommendations X Zhaok, H Liu, W Fan, H Liu, J Tang, C Wang, M Chen, X Zheng, X Liu, ... 2021 IEEE International Conference on Data Mining (ICDM), 896-905, 2021 | 110 | 2021 |
| Dear: Deep reinforcement learning for online advertising impression in recommender systems X Zhao, C Gu, H Zhang, X Yang, X Liu, J Tang, H Liu Proceedings of the AAAI conference on artificial intelligence 35 (1), 750-758, 2021 | 106 | 2021 |
| Towards robust graph neural networks for noisy graphs with sparse labels E Dai, W Jin, H Liu, S Wang Proceedings of the Fifteenth ACM International Conference on Web Search and …, 2022 | 90 | 2022 |
| Whole-chain recommendations X Zhao, L Xia, L Zou, H Liu, D Yin, J Tang Proceedings of the 29th ACM international conference on information …, 2020 | 80 | 2020 |
| Attacking black-box recommendations via copying cross-domain user profiles W Fan, T Derr, X Zhao, Y Ma, H Liu, J Wang, J Tang, Q Li 2021 IEEE 37th international conference on data engineering (ICDE), 1583-1594, 2021 | 72 | 2021 |
| Multi-scale one-class recurrent neural networks for discrete event sequence anomaly detection Z Wang, Z Chen, J Ni, H Liu, H Chen, J Tang Proceedings of the 27th ACM SIGKDD conference on knowledge discovery & data …, 2021 | 69 | 2021 |
| Mitigating gender bias for neural dialogue generation with adversarial learning H Liu, W Wang, Y Wang, H Liu, Z Liu, J Tang arXiv preprint arXiv:2009.13028, 2020 | 68 | 2020 |
| Empowering molecule discovery for molecule-caption translation with large language models: A chatgpt perspective J Li, Y Liu, W Fan, XY Wei, H Liu, J Tang, Q Li IEEE Transactions on Knowledge and Data Engineering, 2024 | 61 | 2024 |
| Autodim: Field-aware embedding dimension searchin recommender systems X Zhao, H Liu, H Liu, J Tang, W Guo, J Shi, S Wang, H Gao, B Long Proceedings of the Web Conference 2021, 3015-3022, 2021 | 59 | 2021 |
| Autoloss: Automated loss function search in recommendations X Zhao, H Liu, W Fan, H Liu, J Tang, C Wang Proceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery & Data …, 2021 | 57 | 2021 |
| Generative diffusion models on graphs: Methods and applications C Liu, W Fan, Y Liu, J Li, H Li, H Liu, J Tang, Q Li arXiv preprint arXiv:2302.02591, 2023 | 54 | 2023 |
| Diffusionshield: A watermark for copyright protection against generative diffusion models Y Cui, J Ren, H Xu, P He, H Liu, L Sun, Y Xing, J Tang arXiv preprint arXiv:2306.04642, 2023 | 44 | 2023 |
| Label-free node classification on graphs with large language models (llms) Z Chen, H Mao, H Wen, H Han, W Jin, H Zhang, H Liu, J Tang arXiv preprint arXiv:2310.04668, 2023 | 43 | 2023 |
| Memory-efficient embedding for recommendations X Zhao, H Liu, H Liu, J Tang, W Guo, J Shi, S Wang, H Gao, B Long arXiv preprint arXiv:2006.14827, 2020 | 32 | 2020 |
Joseph CampSouthern Methodist University (SMU)Dirección de correo verificada de smu.edu
