| Heterogeneous Graph Transformer Z Hu, Y Dong, K Wang, Y Sun WWW 2020, 2020 | 854 | 2020 |
| GPT-GNN: Generative Pre-Training of Graph Neural Networks Z Hu, Y Dong, K Wang, KW Chang, Y Sun KDD 2020 (Oral), 2020 | 372 | 2020 |
| Listening to Chaotic Whispers: A Deep Learning Framework for News-oriented Stock Trend Prediction Z Hu, W Liu, J Bian, X Liu, TY Liu WSDM 2018, 2018 | 325 | 2018 |
| Layer-Dependent Importance Sampling for Training Deep and Large Graph Convolutional Networks D Zou, Z Hu, Y Wang, S Jiang, Y Sun, Q Gu NeurIPS 2019, 2019 | 245 | 2019 |
| Heterogeneous Network Representation Learning Y Dong, Z Hu, K Wang, Y Sun, J Tang IJCAI 2020, 2020 | 100 | 2020 |
| Unbiased LambdaMART: An Unbiased Pairwise Learning-to-Rank Algorithm Z Hu, Y Wang, Q Peng, H Li WWW 2019, 2019 | 98 | 2019 |
| Motif-driven contrastive learning of graph representations S Zhang, Z Hu, A Subramonian, Y Sun arXiv preprint arXiv:2012.12533, 2020 | 95* | 2020 |
| Emoji-Powered Representation Learning for Cross-Lingual Sentiment Classification Z Chen, S Shen, Z Hu, X Lu, Q Mei, X Liu WWW 2019 (Best Paper Award), 2019 | 74 | 2019 |
| Few-Shot Representation Learning for Out-Of-Vocabulary Words Z Hu, T Chen, KW Chang, Y Sun ACL 2019, 2019 | 70 | 2019 |
| Improving Neural Language Generation with Spectrum Control L Wang, J Huang, K Huang, Z Hu, G Wang, Q Gu ICLR 2020, 2020 | 63 | 2020 |
| Scenic: A JAX library for computer vision research and beyond M Dehghani, A Gritsenko, A Arnab, M Minderer, Y Tay Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 55 | 2022 |
| Fast Adaptation for Cold-start Collaborative Filtering with Meta-learning T Wei, Z Wu, R Li, Z Hu, F Feng, X He, Y Sun, W Wang ICDM 2020, 2020 | 47 | 2020 |
| Fuzzy Logic Based Logical Query Answering on Knowledge Graphs X Chen, Z Hu, Y Sun AAAI 2022 (Oral), 2022 | 46 | 2022 |
| Aladdin: Automating release of deep-link apis on android Y Ma, Z Hu, Y Liu, T Xie, X Liu WWW 2018, 2018 | 38* | 2018 |
| Multilingual knowledge graph completion via ensemble knowledge transfer X Chen, M Chen, C Fan, A Uppunda, Y Sun, C Zaniolo arXiv preprint arXiv:2010.03158, 2020 | 36 | 2020 |
| Unsupervised pre-training of graph convolutional networks Z Hu, C Fan, T Chen, KW Chang, Y Sun ICLR 2019 Workshop: Representation Learning on Graphs and Manifolds, 2019 | 35* | 2019 |
| Broaden the Vision: Geo-Diverse Visual Commonsense Reasoning D Yin, LH Li, Z Hu, N Peng, KW Chang EMNLP 2021 (Oral), 2021 | 26 | 2021 |
| Towards Release Strategy Optimization for Apps in Google Play S Shen, X Lu, Z Hu, X Liu Internetware 2017, 2017 | 22 | 2017 |
| Empowering Language Models with Knowledge Graph Reasoning for Question Answering Z Hu, Y Xu, W Yu, S Wang, Z Yang, C Zhu, KW Chang, Y Sun EMNLP 2022 (Best Paper Award at SoCal-NLP'22), 2022 | 20* | 2022 |
| REVEAL: Retrieval-Augmented Visual-Language Pre-Training with Multi-Source Multimodal Knowledge Memory Z Hu, A Iscen, C Sun, Z Wang, KW Chang, Y Sun, C Schmid, DA Ross, ... CVPR 2023 (highlight), 2022 | 17 | 2022 |
Yizhou SunAssociate Professor, Computer Science, UCLAE-mailová adresa ověřena na: cs.ucla.edu
