| Causal intervention for leveraging popularity bias in recommendation Y Zhang, F Feng, X He, T Wei, C Song, G Ling, Y Zhang Proceedings of the 44th international ACM SIGIR conference on research and …, 2021 | 432 | 2021 |
| Model-agnostic counterfactual reasoning for eliminating popularity bias in recommender system T Wei, F Feng, J Chen, Z Wu, J Yi, X He Proceedings of the 27th ACM SIGKDD conference on knowledge discovery & data …, 2021 | 312 | 2021 |
| 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 2020 IEEE International Conference on Data Mining (ICDM), 661-670, 2020 | 72 | 2020 |
| Augmentations in hypergraph contrastive learning: Fabricated and generative T Wei, Y You, T Chen, Y Shen, J He, Z Wang Advances in neural information processing systems 35, 1909-1922, 2022 | 51 | 2022 |
| Comprehensive fair meta-learned recommender system T Wei, J He Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and …, 2022 | 43 | 2022 |
| Scalable and effective generative information retrieval H Zeng, C Luo, B Jin, SM Sarwar, T Wei, H Zamani Proceedings of the ACM on Web Conference 2024, 1441-1452, 2024 | 29 | 2024 |
| Language models as semantic indexers B Jin, H Zeng, G Wang, X Chen, T Wei, R Li, Z Wang, Z Li, Y Li, H Lu, ... arXiv preprint arXiv:2310.07815, 2023 | 22 | 2023 |
| Towards unified multi-modal personalization: Large vision-language models for generative recommendation and beyond T Wei, B Jin, R Li, H Zeng, Z Wang, J Sun, Q Yin, H Lu, S Wang, J He, ... ICLR, 2024 | 17* | 2024 |
| Adaptive test-time personalization for federated learning W Bao, T Wei, H Wang, J He Advances in Neural Information Processing Systems 36, 2024 | 16 | 2024 |
| Meta clustering of neural bandits Y Ban, Y Qi, T Wei, L Liu, J He Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and …, 2024 | 13* | 2024 |
| Graph Mixup on Approximate Gromov–Wasserstein Geodesics Z Zeng, R Qiu, Z Xu, Z Liu, Y Yan, T Wei, L Ying, J He, H Tong Forty-first International Conference on Machine Learning, 0 | 10 | |
| TAU: trajectory data augmentation with uncertainty for next POI recommendation Z Zhuang, T Wei, L Liu, H Qi, Y Shen, B Yin Proceedings of the AAAI Conference on Artificial Intelligence 38 (20), 22565 …, 2024 | 8 | 2024 |
| Ntk-approximating mlp fusion for efficient language model fine-tuning T Wei, Z Guo, Y Chen, J He International Conference on Machine Learning, 36821-36838, 2023 | 8 | 2023 |
| Robust basket recommendation via noise-tolerated graph contrastive learning X He, T Wei, J He Proceedings of the 32nd ACM International Conference on Information and …, 2023 | 5 | 2023 |
| Meta-learning with neural bandit scheduler Y Qi, Y Ban, T Wei, J Zou, H Yao, J He Advances in Neural Information Processing Systems 36, 63994-64028, 2023 | 3 | 2023 |
| Unleashing the Power of LLMs as Multi-Modal Encoders for Text and Graph-Structured Data J Lin, K Qian, H Han, N Choudhary, T Wei, Z Wang, S Genc, EW Huang, ... arXiv preprint arXiv:2410.11235, 2024 | 2 | 2024 |
| Unpaired multimodal neural machine translation via reinforcement learning Y Wang, T Wei, Q Liu, E Chen Database Systems for Advanced Applications: 26th International Conference …, 2021 | 2 | 2021 |
| WAPITI: A Watermark for Finetuned Open-Source LLMs L Chen, R Qiu, S Yuan, Z Liu, T Wei, H Yoo, Z Zeng, D Yang, H Tong arXiv preprint arXiv:2410.06467, 2024 | 1 | 2024 |
| Ar-stock: Deep augmented relational stock prediction TX Wei, YN You, TL Chen The AAAI-21 Workshop on Knowledge Discovery from Unstructured Data in …, 2021 | 1 | 2021 |
| SelfElicit: Your Language Model Secretly Knows Where is the Relevant Evidence Z Liu, RA Amjad, R Adkathimar, T Wei, H Tong arXiv preprint arXiv:2502.08767, 2025 | | 2025 |
Jingrui HeUniversity of Illinois at Urbana-Champaignایمیل تأیید شده در illinois.edu