| Tallrec: An effective and efficient tuning framework to align large language model with recommendation K Bao, J Zhang, Y Zhang, W Wang, F Feng, X He RecSys 2023, 2023 | 356 | 2023 |
| Denoising implicit feedback for recommendation W Wang, F Feng, X He, L Nie, TS Chua Proceedings of the 14th ACM international conference on web search and data …, 2021 | 247 | 2021 |
| Clicks can be cheating: Counterfactual recommendation for mitigating clickbait issue W Wang, F Feng, X He, H Zhang, TS Chua Proceedings of the 44th International ACM SIGIR Conference on Research and …, 2021 | 204 | 2021 |
| Deconfounded recommendation for alleviating bias amplification W Wang, F Feng, X He, X Wang, TS Chua Proceedings of the 27th ACM SIGKDD conference on knowledge discovery & data …, 2021 | 180 | 2021 |
| Is chatgpt fair for recommendation? evaluating fairness in large language model recommendation J Zhang, K Bao, Y Zhang, W Wang, F Feng, X He RecSys 2023, 2023 | 170 | 2023 |
| Diffusion Recommender Model W Wang, Y Xu, F Feng, X Lin, X He, TS Chua Proceedings of the 46th International ACM SIGIR Conference on Research and …, 2023 | 145 | 2023 |
| Causal representation learning for out-of-distribution recommendation W Wang, X Lin, F Feng, X He, M Lin, TS Chua Proceedings of the ACM Web Conference 2022, 3562-3571, 2022 | 109 | 2022 |
| Causal inference in recommender systems: A survey and future directions C Gao, Y Zheng, W Wang, F Feng, X He, Y Li ACM Transactions on Information Systems, 2022 | 107 | 2022 |
| Generative recommendation: Towards next-generation recommender paradigm W Wang, X Lin, F Feng, X He, TS Chua arXiv preprint arXiv:2304.03516, 2023 | 99 | 2023 |
| Multimodal dialog system: Generating responses via adaptive decoders L Nie, W Wang, R Hong, M Wang, Q Tian Proceedings of the 27th ACM international conference on multimedia, 1098-1106, 2019 | 85 | 2019 |
| Data-efficient Fine-tuning for LLM-based Recommendation X Lin, W Wang, Y Li, S Yang, F Feng, Y Wei, TS Chua Proceedings of the 47th International ACM SIGIR Conference on Research and …, 2024 | 84 | 2024 |
| What aspect do you like: Multi-scale time-aware user interest modeling for micro-video recommendation H Jiang, W Wang, Y Wei, Z Gao, Y Wang, L Nie Proceedings of the 28th ACM International conference on Multimedia, 3487-3495, 2020 | 80 | 2020 |
| Market2Dish: health-aware food recommendation W Wang, LY Duan, H Jiang, P Jing, X Song, L Nie ACM Transactions on Multimedia Computing, Communications, and Applications …, 2021 | 79 | 2021 |
| A bi-step grounding paradigm for large language models in recommendation systems K Bao, J Zhang, W Wang, Y Zhang, Z Yang, Y Luo, C Chen, F Feng, ... arXiv preprint arXiv:2308.08434, 2023 | 76 | 2023 |
| Chat more: Deepening and widening the chatting topic via a deep model W Wang, M Huang, XS Xu, F Shen, L Nie The 41st international acm sigir conference on research & development in …, 2018 | 72 | 2018 |
| Attack Prompt Generation for Red Teaming and Defending Large Language Models B Deng, W Wang, F Feng, Y Deng, Q Wang, X He Findings of EMNLP 2023, 2023 | 70 | 2023 |
| User attention-guided multimodal dialog systems C Cui, W Wang, X Song, M Huang, XS Xu, L Nie Proceedings of the 42nd international ACM SIGIR conference on research and …, 2019 | 66 | 2019 |
| Bridging items and language: A transition paradigm for large language model-based recommendation X Lin, W Wang, Y Li, F Feng, SK Ng, TS Chua Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and …, 2024 | 64* | 2024 |
| User-controllable recommendation against filter bubbles W Wang, F Feng, L Nie, TS Chua Proceedings of the 45th international ACM SIGIR conference on research and …, 2022 | 55 | 2022 |
| Dynamic hypergraph convolutional network N Yin, F Feng, Z Luo, X Zhang, W Wang, X Luo, C Chen, XS Hua 2022 IEEE 38th International Conference on Data Engineering (ICDE), 1621-1634, 2022 | 46 | 2022 |
Fuli FengUniversity of Science and Technology of ChinaZweryfikowany adres z ustc.edu.cn