| GSN: A Graph-Structured Network for Multi-Party Dialogues Z Chan*, W Hu*, B Liu, D Zhao, J Ma, R Yan IJCAI 2019, 5010-5016, 2019 | 73* | 2019 |
| VMSMO: Learning to Generate Multimodal Summary for Video-based News Articles M Li, X Chen, S Gao, Z Chan, D Zhao, R Yan EMNLP 2020, 9360–9369, 2020 | 58 | 2020 |
| CAN: Feature Co-Action Network for Click-Through Rate Prediction W Bian, K Wu, L Ren, Q Pi, Y Zhang, C Xiao, XR Sheng, YN Zhu, Z Chan, ... WSDM 2022, 57-65, 2022 | 56 | 2022 |
| Learning towards Abstractive Timeline Summarization Z Chan*, X Chen*, S Gao, MH Yu, D Zhao, R Yan IJCAI 2019, 4939-4945, 2019 | 44 | 2019 |
| Modeling Personalization in Continuous Space for Response Generation via Augmented Wasserstein Autoencoders Z Chan, J Li, X Yang, X Chen, W Hu, D Zhao, R Yan EMNLP 2019, 1931-1940, 2019 | 38 | 2019 |
| How to Write Summaries with Patterns? Learning towards Abstractive Summarization through Prototype Editing S Gao, X Chen, P Li, Z Chan, D Zhao, R Yan EMNLP 2019, 3741-3751, 2019 | 33 | 2019 |
| Selection and Generation: Learning towards Multi-Product Advertisement Post Generation Z Chan, Y Zhang, X Chen, S Gao, Z Zhang, D Zhao, R Yan EMNLP 2020, 3818-3829, 2020 | 24 | 2020 |
| Dialogue History Matters! Personalized Response Selection in Multi-turn Retrieval-based Chatbots J Li, C Liu, C Tao, Z Chan, D Zhao, M Zhang, R Yan ACM Transactions on Information Systems (TOIS) 39 (4), 1-25, 2021 | 23 | 2021 |
| KEEP: An Industrial Pre-Training Framework for Online Recommendation via Knowledge Extraction and Plugging Z Chan*, Y Zhang*, S Xu, W Bian, S Han, H Deng, B Zheng CIKM 2022, 3684–3693, 2022 | 20 | 2022 |
| Stick to the Facts: Learning towards a Fidelity-oriented E-commerce Product Description Generation Z Chan, X Chen, Y Wang, J Li, Z Zhang, K Gai, D Zhao, R Yan EMNLP 2019, 4959-4968, 2019 | 19 | 2019 |
| Enhancing the Open-domain Dialogue Evaluation in Latent Space Z Chan, L Liu, J Li, H Zhang, D Zhao, S Shi, R Yan ACL 2021, Findings, 4889-4900, 2021 | 14 | 2021 |
| Adversarial Gradient Driven Exploration for Deep Click-Through Rate Prediction K Wu, Z Chan, W Bian, L Ren, S Xiang, S Han, H Deng, B Zheng KDD 2022, 2050–2058, 2022 | 11 | 2022 |
| Follow the Timeline! Generating an Abstractive and Extractive Timeline Summary in Chronological Order X Chen, M Li, S Gao, Z Chan, D Zhao, X Gao, X Zhang, R Yan ACM Transactions on Information Systems (TOIS) 41 (1), 1-30, 2023 | 10 | 2023 |
| Content Learning with Structure-Aware Writing: A Graph-Infused Dual Conditional Variational Autoencoder for Automatic Storytelling MH Yu, J Li, Z Chan, D Zhao, R Yan AAAI 2021, 6021-6029, 2021 | 10 | 2021 |
| Capturing Conversion Rate Fluctuation during Sales Promotions: A Novel Historical Data Reuse Approach Z Chan, Y Zhang, S Han, Y Bai, XR Sheng, S Lou, J Hu, B Liu, Y Jiang, ... KDD 2023, 3774–3784, 2023 | 7 | 2023 |
| When Less Is More: Using Less Context Information to Generate Better Utterances in Group Conversations Z Chan*, H Zhang*, Y Song, D Zhao, R Yan NLPCC 2018, 76-84, 2018 | 4 | 2018 |
| PS-SA: An Efficient Self-Attention via Progressive Sampling for User Behavior Sequence Modeling Z Chan*, J Hu*, Y Zhang, S Han, S Lou, B Liu, H Zhu, Y Jiang, J Xu, ... CIKM 2023, 4639-4645, 2023 | 1 | 2023 |
Rui Yan (严睿)Renmin University of China. Previously with Peking U. and UPennVerified email at seas.upenn.edu
