| Efficiently Leveraging Multi-level User Intent for Session-based Recommendation via Atten-Mixer Network P Zhang, J Guo, C Li, Y Xie, J Kim, Y Zhang, X Xie, H Wang, S Kim Proceedings of the Sixteenth ACM International Conference on Web Search and …, 2023 | 48 | 2023 |
| Evolutionary preference learning via graph nested gru ode for session-based recommendation J Guo*, P Zhang*, C Li, X Xie, Y Zhang, S Kim Proceedings of the 31st ACM International Conference on Information …, 2022 | 28 | 2022 |
| AdaMCT: adaptive mixture of CNN-transformer for sequential recommendation J Jiang*, P Zhang*, Y Luo, C Li, JB Kim, K Zhang, S Wang, X Xie, S Kim Proceedings of the 32st ACM International Conference on Information …, 2023 | 16 | 2023 |
| Continual Learning on Dynamic Graphs via Parameter Isolation P Zhang, Y Yan, C Li, S Wang, X Xie, G Song, S Kim Proceedings of the 46th International ACM SIGIR Conference on Research and …, 2023 | 16 | 2023 |
| Exploring recommendation capabilities of gpt-4v (ision): A preliminary case study P Zhou, M Cao, YL Huang, Q Ye, P Zhang, J Liu, Y Xie, Y Hua, J Kim arXiv preprint arXiv:2311.04199, 2023 | 14 | 2023 |
| A survey on incremental update for neural recommender systems P Zhang, S Kim arXiv preprint arXiv:2303.02851, 2023 | 10 | 2023 |
| Word shape matters: Robust machine translation with visual embedding H Wang, P Zhang, EP Xing arXiv preprint arXiv:2010.09997, 2020 | 10 | 2020 |
| A comprehensive study on text-attributed graphs: Benchmarking and rethinking H Yan, C Li, R Long, C Yan, J Zhao, W Zhuang, J Yin, P Zhang, W Han, ... Advances in Neural Information Processing Systems 36, 17238-17264, 2023 | 4 | 2023 |
| Foundation model-oriented robustness: Robust image model evaluation with pretrained models P Zhang, H Liu, C Li, X Xie, S Kim, H Wang arXiv preprint arXiv:2308.10632, 2023 | 4 | 2023 |
| Practical Content-aware Session-based Recommendation: Deep Retrieve then Shallow Rank Y Lei, X Chen, D Lian, P Zhang, J Lian, C Li, X Xie Amazon KDD Cup 2023 Workshop, 2023 | 4 | 2023 |
| Can Transformer and GNN Help Each Other? P Zhang, Y Yan, C Li, S Wang, X Xie, S Kim arXiv preprint arXiv:2308.14355, 2023 | 2 | 2023 |
| Inductive Graph Alignment Prompt: Bridging the Gap between Graph Pre-training and Inductive Fine-tuning From Spectral Perspective Y Yan, P Zhang, Z Fang, Q Long arXiv preprint arXiv:2402.13556, 2024 | 1 | 2024 |
| High-Frequency-aware Hierarchical Contrastive Selective Coding for Representation Learning on Text-attributed Graphs P Zhang, C Li, L Kang, F Huang, S Wang, X Xie, S Kim arXiv preprint arXiv:2402.16240, 2024 | | 2024 |
Chaozhuo LiMicrosoft Research AisaVerified email at microsoft.com
