| Graph few-shot class-incremental learning Z Tan, K Ding, R Guo, H Liu Proceedings of the fifteenth ACM international conference on web search and …, 2022 | 46 | 2022 |
| Transductive linear probing: a novel framework for few-shot node classification Z Tan, S Wang, K Ding, J Li, H Liu Learning on Graphs Conference, 4: 1-4: 21, 2022 | 13 | 2022 |
| Disinformation detection: An evolving challenge in the age of llms B Jiang, Z Tan, A Nirmal, H Liu Proceedings of the 2024 SIAM International Conference on Data Mining (SDM …, 2024 | 12 | 2024 |
| Virtual Node Tuning for Few-shot Node Classification Z Tan, G Ruocheng, K Ding, L Huan Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and …, 2023 | 10 | 2023 |
| Supervised graph contrastive learning for few-shot node classification Z Tan, K Ding, R Guo, H Liu Joint European Conference on Machine Learning and Knowledge Discovery in …, 2022 | 7* | 2022 |
| Interpreting pretrained language models via concept bottlenecks Z Tan, L Cheng, S Wang, B Yuan, J Li, H Liu Pacific-Asia Conference on Knowledge Discovery and Data Mining, 56-74, 2024 | 6 | 2024 |
| Sparsity-guided holistic explanation for llms with interpretable inference-time intervention Z Tan, T Chen, Z Zhang, H Liu Proceedings of the AAAI Conference on Artificial Intelligence 38 (19), 21619 …, 2024 | 5 | 2024 |
| Large Language Models for Data Annotation: A Survey Z Tan, A Beigi, S Wang, R Guo, A Bhattacharjee, B Jiang, M Karami, J Li, ... arXiv preprint arXiv:2402.13446, 2024 | 4 | 2024 |
| Contextualization distillation from large language model for knowledge graph completion D Li, Z Tan, T Chen, H Liu arXiv preprint arXiv:2402.01729, 2024 | 3 | 2024 |
| Noise-robust fine-tuning of pretrained language models via external guidance S Wang, Z Tan, R Guo, J Li arXiv preprint arXiv:2311.01108, 2023 | 3 | 2023 |
| Contrastive Meta-Learning for Few-shot Node Classification S Wang, Z Tan, H Liu, J Li Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and …, 2023 | 3 | 2023 |
| Tuning-Free Accountable Intervention for LLM Deployment--A Metacognitive Approach Z Tan, J Peng, T Chen, H Liu arXiv preprint arXiv:2403.05636, 2024 | 1 | 2024 |
| The Wolf Within: Covert Injection of Malice into MLLM Societies via an MLLM Operative Z Tan, C Zhao, R Moraffah, Y Li, Y Kong, T Chen, H Liu arXiv preprint arXiv:2402.14859, 2024 | 1 | 2024 |
| CSGNN: Conquering Noisy Node labels via Dynamic Class-wise Selection Y Li, Z Tan, K Shu, Z Cao, Y Kong, H Liu arXiv preprint arXiv:2311.11473, 2023 | 1 | 2023 |
| Facial Affective Behavior Analysis with Instruction Tuning Y Li, A Dao, W Bao, Z Tan, T Chen, H Liu, Y Kong arXiv preprint arXiv:2404.05052, 2024 | | 2024 |
| Thought Graph: Generating Thought Process for Biological Reasoning CY Hsu, K Cox, J Xu, Z Tan, T Zhai, M Hu, D Pratt, T Chen, Z Hu, Y Ding arXiv preprint arXiv:2403.07144, 2024 | | 2024 |
| Media Bias Matters: Understanding the Impact of Politically Biased News on Vaccine Attitudes in Social Media B Jiang, L Cheng, Z Tan, R Guo, H Liu arXiv preprint arXiv:2403.04009, 2024 | | 2024 |
| GraphRCG: Self-conditioned Graph Generation via Bootstrapped Representations S Wang, Z Tan, X Zhao, T Chen, H Liu, J Li arXiv preprint arXiv:2403.01071, 2024 | | 2024 |
| MerRec: A Large-scale Multipurpose Mercari Dataset for Consumer-to-Consumer Recommendation Systems L Li, ZA Din, Z Tan, S London, T Chen, A Daptardar arXiv preprint arXiv:2402.14230, 2024 | | 2024 |
| Label Distribution Learning-Enhanced Dual-KNN for Text Classification B Yuan, Y Chen, Z Tan, W Jinyan, H Liu, Y Zhang Proceedings of the 2024 SIAM International Conference on Data Mining (SDM …, 2024 | | 2024 |
Huan LiuRegents Professor, Arizona State UniversityE-mailová adresa ověřena na: asu.edu
