Suivre
Tianxin Wei
Titre
Citée par
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Année
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
4352021
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
3132021
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
712020
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
492022
Comprehensive fair meta-learned recommender system
T Wei, J He
Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and …, 2022
432022
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
262024
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
182023
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
15*2024
Adaptive test-time personalization for federated learning
W Bao, T Wei, H Wang, J He
Advances in Neural Information Processing Systems 36, 2024
142024
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
12*2024
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
82024
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
7
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
52023
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
52023
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, 2024
32024
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
22024
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
22021
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
12024
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
12021
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
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