| Iterative Deep Graph Learning for Graph Neural Networks: Better and Robust Node Embeddings Y Chen, L Wu, MJ Zaki Proceedings of the 34th Conference on Neural Information Processing Systems …, 2020 | 459 | 2020 |
| Graph Neural Networks for Natural Language Processing: A Survey L Wu, Y Chen, K Shen, X Guo, H Gao, S Li, J Pei, B Long Foundations and Trends in Machine Learning, 2022 | 336 | 2022 |
| Reinforcement Learning Based Graph-to-Sequence Model for Natural Question Generation Y Chen, L Wu, MJ Zaki Proceedings of the 8th International Conference on Learning Representations …, 2020 | 203 | 2020 |
| Bidirectional Attentive Memory Networks for Question Answering over Knowledge Bases Y Chen, L Wu, MJ Zaki Proceedings of the 2019 Annual Conference of the North American Chapter of …, 2019 | 181 | 2019 |
| Retrieval-Augmented Generation for Code Summarization via Hybrid GNN S Liu, Y Chen, X Xie, JK Siow, Y Liu Proceedings of the 9th International Conference on Learning Representations …, 2021 | 176 | 2021 |
| FoodKG: A Semantics-Driven Knowledge Graph for Food Recommendation S Haussmann, O Seneviratne, Y Chen, J Codella, CH Chen, ... 2nd Annual AMIA Knowledge Representation and Semantics Pre-Symposium 2019, 2019 | 172 | 2019 |
| FoodKG: A Semantics-Driven Knowledge Graph for Food Recommendation S Haussmann, O Seneviratne, Y Chen, Y Ne’eman, J Codella, CH Chen, ... The 18th International Semantic Web Conference (ISWC 2019), 2019 | 172 | 2019 |
| LM-Infinite: Zero-Shot Extreme Length Generalization for Large Language Models C Han, Q Wang, H Peng, W Xiong, Y Chen, H Ji, S Wang Proceedings of the 2024 Annual Conference of the North American Chapter of …, 2024 | 121* | 2024 |
| KATE: K-Competitive Autoencoder for Text Y Chen, MJ Zaki Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge …, 2017 | 104 | 2017 |
| GraphFlow: Exploiting Conversation Flow with Graph Neural Networks for Conversational Machine Comprehension Y Chen, L Wu, MJ Zaki Proceedings of the 29th International Joint Conference on Artificial …, 2020 | 93 | 2020 |
| Toward Subgraph-Guided Knowledge Graph Question Generation With Graph Neural Networks Y Chen, L Wu, MJ Zaki IEEE Transactions on Neural Networks and Learning Systems, 2023 | 78 | 2023 |
| Personalized Food Recommendation as Constrained Question Answering over a Large-scale Food Knowledge Graph Y Chen, A Subburathinam, CH Chen, MJ Zaki Proceedings of the 14th International Conference on Web Search and Data …, 2021 | 71 | 2021 |
| Deep Iterative and Adaptive Learning for Graph Neural Networks Y Chen, L Wu, MJ Zaki AAAI 2020 Workshop on Deep Learning on Graphs: Methodologies and …, 2020 | 62 | 2020 |
| Deep Learning on Graphs for Natural Language Processing L Wu, Y Chen, H Ji, B Liu Proceedings of the 30th International Joint Conference on Artificial …, 2021 | 43 | 2021 |
| Compact Graph Structure Learning via Mutual Information Compression N Liu, X Wang, L Wu, Y Chen, X Guo, C Shi Proceedings of The Web Conference 2022, 2022 | 38 | 2022 |
| CommerceMM: Large-Scale Commerce MultiModal Representation Learning with Omni Retrieval L Yu, J Chen, A Sinha, MMJ Wang, Y Chen, TL Berg, N Zhang Proceedings of the 28th ACM SIGKDD International Conference on Knowledge …, 2022 | 35 | 2022 |
| Automatic Code Summarization via Multi-dimensional Semantic Fusing in GNN S Liu, Y Chen, X Xie, JK Siow, Y Liu | 26 | 2020 |
| Comparative Text Analytics via Topic Modeling in Banking Y Chen, RM Rabbani, A Gupta, MJ Zaki Proceedings of the 2017 IEEE Symposium Series on Computational Intelligence …, 2017 | 26 | 2017 |
| MixPAVE: Mix-Prompt Tuning for Few-shot Product Attribute Value Extraction L Yang, Q Wang, J Wang, X Quan, F Feng, Y Chen, M Khabsa, S Wang, ... Proceedings of the 61st Annual Meeting of the Association for Computational …, 2023 | 25 | 2023 |
| FFB: A Fair Fairness Benchmark for In-Processing Group Fairness Methods X Han, J Chi, Y Chen, Q Wang, H Zhao, N Zou, X Hu Proceedings of the 12th International Conference on Learning Representations …, 2024 | 17 | 2024 |
Mohammed J. ZakiProfessor & Head, Computer Science Department, RPIVerified email at cs.rpi.edu
