| Heterogeneous Graph Transformer Z Hu, Y Dong, K Wang, Y Sun WWW 2020, 2020 | 1265 | 2020 |
| GPT-GNN: Generative Pre-Training of Graph Neural Networks Z Hu, Y Dong, K Wang, KW Chang, Y Sun KDD 2020 (Oral), 2020 | 563 | 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 | 378 | 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 | 329 | 2019 |
| Motif-driven contrastive learning of graph representations S Zhang, Z Hu, A Subramonian, Y Sun IEEE Transactions on Knowledge and Data Engineering, 2024 | 131* | 2024 |
| Heterogeneous Network Representation Learning Y Dong, Z Hu, K Wang, Y Sun, J Tang IJCAI 2020, 2020 | 120 | 2020 |
| Unbiased LambdaMART: An Unbiased Pairwise Learning-to-Rank Algorithm Z Hu, Y Wang, Q Peng, H Li WWW 2019, 2019 | 111 | 2019 |
| 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 | 87 | 2019 |
| Few-Shot Representation Learning for Out-Of-Vocabulary Words Z Hu, T Chen, KW Chang, Y Sun ACL 2019, 2019 | 86 | 2019 |
| Fuzzy Logic Based Logical Query Answering on Knowledge Graphs X Chen, Z Hu, Y Sun AAAI 2022 (Oral), 2022 | 84 | 2022 |
| Improving Neural Language Generation with Spectrum Control L Wang, J Huang, K Huang, Z Hu, G Wang, Q Gu ICLR 2020, 2020 | 84 | 2020 |
| Scibench: Evaluating college-level scientific problem-solving abilities of large language models X Wang, Z Hu, P Lu, Y Zhu, J Zhang, S Subramaniam, AR Loomba, ... ICML 2024, 2023 | 68 | 2023 |
| 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 | 65 | 2020 |
| 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 | 57 | 2022 |
| Aladdin: Automating release of deep-link apis on android Y Ma, Z Hu, Y Liu, T Xie, X Liu WWW 2018, 2018 | 50* | 2018 |
| 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 | 46* | 2022 |
| AVIS: Autonomous Visual Information Seeking with Large Language Model Agent Z Hu, A Iscen, C Sun, KW Chang, Y Sun, DA Ross, C Schmid, A Fathi NeurIPS 2023, 2023 | 44 | 2023 |
| 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 | 41* | 2019 |
| Broaden the Vision: Geo-Diverse Visual Commonsense Reasoning D Yin, LH Li, Z Hu, N Peng, KW Chang EMNLP 2021 (Oral), 2021 | 40 | 2021 |
| Avalonbench: Evaluating llms playing the game of avalon J Light, M Cai, S Shen, Z Hu NeurIPS 2023 Foundation Models for Decision Making Workshop, 2023 | 27* | 2023 |
Yizhou SunProfessor, Computer Science, UCLAVerified email at cs.ucla.edu
