| Learning to prompt for continual learning Z Wang, Z Zhang, CY Lee, H Zhang, R Sun, X Ren, G Su, V Perot, J Dy, ... IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) 2022, 2022 | 1389 | 2022 |
| Gemini 2.5: Pushing the frontier with advanced reasoning, multimodality, long context, and next generation agentic capabilities G Comanici, E Bieber, M Schaekermann, I Pasupat, N Sachdeva, I Dhillon, ... arXiv preprint arXiv:2507.06261, 2025 | 1337 | 2025 |
| DualPrompt: Complementary Prompting for Rehearsal-free Continual Learning Z Wang, Z Zhang, S Ebrahimi, R Sun, H Zhang, CY Lee, X Ren, G Su, ... European Conference on Computer Vision (ECCV) 2022, 2022 | 905 | 2022 |
| Deep learning for RF fingerprinting: A massive experimental study T Jian, BC Rendon, E Ojuba, N Soltani, Z Wang, K Sankhe, A Gritsenko, ... IEEE Internet of Things Magazine 3 (1), 50-57, 2020 | 297 | 2020 |
| Chain-of-table: Evolving tables in the reasoning chain for table understanding Z Wang, H Zhang, CL Li, JM Eisenschlos, V Perot, Z Wang, L Miculicich, ... International Conference on Learning Representations (ICLR) 2024, 2024 | 226 | 2024 |
| Continual learning of large language models: A comprehensive survey H Shi, Z Xu, H Wang, W Qin, W Wang, Y Wang, Z Wang, S Ebrahimi, ... ACM Computing Surveys, 2024 | 181 | 2024 |
| SQL-PaLM: Improved Large Language Model Adaptation for Text-to-SQL (extended) R Sun, SÖ Arik, A Muzio, L Miculicich, S Gundabathula, P Yin, H Dai, ... Transactions on Machine Learning Research (TMLR), 2023 | 165 | 2023 |
| Collaborative deep reinforcement learning for multi-object tracking L Ren, J Lu, Z Wang, Q Tian, J Zhou European Conference on Computer Vision (ECCV) 2018, 2018 | 119 | 2018 |
| SparCL: Sparse Continual Learning on the Edge Z Wang, Z Zhan, Y Gong, G Yuan, W Niu, T Jian, B Ren, S Ioannidis, ... Neural Information Processing Systems (NeurIPS) 2022, 2022 | 103 | 2022 |
| Radio frequency fingerprinting on the edge T Jian, Y Gong, Z Zhan, R Shi, N Soltani, Z Wang, J Dy, K Chowdhury, ... IEEE Transactions on Mobile Computing 21 (11), 4078-4093, 2021 | 98 | 2021 |
| Deep Learning on Multimodal Sensor Data at the Wireless Edge for Vehicular Network B Salehi, G Reus-Muns, D Roy, Z Wang, T Jian, J Dy, S Ioannidis, ... IEEE Transactions on Vehicular Technology 71 (7), 7639-7655, 2022 | 89 | 2022 |
| Lmdx: Language model-based document information extraction and localization V Perot, K Kang, F Luisier, G Su, X Sun, RS Boppana, Z Wang, J Mu, ... Findings of the Association for Computational Linguistics (ACL) 2024, 2023 | 71 | 2023 |
| Finding a ‘new’needle in the haystack: Unseen radio detection in large populations using deep learning A Gritsenko, Z Wang, T Jian, J Dy, K Chowdhury, S Ioannidis 2019 IEEE international symposium on dynamic spectrum access networks …, 2019 | 70 | 2019 |
| Learn-prune-share for lifelong learning Z Wang, T Jian, K Chowdhury, Y Wang, J Dy, S Ioannidis IEEE International Conference on Data Mining (ICDM) 2020, 2020 | 58 | 2020 |
| Deep bayesian unsupervised lifelong learning T Zhao, Z Wang, A Masoomi, J Dy Neural Networks 149, 95-106, 2022 | 54* | 2022 |
| TableRAG: Million-token table understanding with language models SA Chen, L Miculicich, JM Eisenschlos, Z Wang, Z Wang, Y Chen, Y Fujii, ... Neural Information Processing Systems (NeurIPS), 2024, 2024 | 53 | 2024 |
| Found in the Middle: Calibrating Positional Attention Bias Improves Long Context Utilization CY Hsieh, YS Chuang, CL Li, Z Wang, LT Le, A Kumar, J Glass, A Ratner, ... Findings of the Association for Computational Linguistics (ACL) 2024, 2024 | 48 | 2024 |
| Revisiting hilbert-schmidt information bottleneck for adversarial robustness Z Wang, T Jian, A Masoomi, S Ioannidis, J Dy Neural Information Processing Systems (NeurIPS), 2021, 2021 | 41 | 2021 |
| CodecLM: Aligning Language Models with Tailored Synthetic Data Z Wang, CL Li, V Perot, LT Le, J Miao, Z Zhang, CY Lee, T Pfister Findings of the North American Chapter of the Association for Computational …, 2024 | 39 | 2024 |
| Speculative rag: Enhancing retrieval augmented generation through drafting Z Wang, Z Wang, L Le, HS Zheng, S Mishra, V Perot, Y Zhang, ... International Conference on Learning Representations (ICLR) 2025, 2024 | 35 | 2024 |
Jennifer DyElectrical and Computer Engineering, Northeastern UniversityVerified email at ece.neu.edu
