| Investigating per topic upper bound for session search evaluation Z Tang, GH Yang Proceedings of the ACM SIGIR International Conference on Theory of …, 2017 | 17 | 2017 |
| Deeptilebars: Visualizing term distribution for neural information retrieval Z Tang, GH Yang Proceedings of the AAAI conference on artificial intelligence 33 (01), 289-296, 2019 | 16 | 2019 |
| Balancing reinforcement learning training experiences in interactive information retrieval L Chen, Z Tang, GH Yang Proceedings of the 43rd International ACM SIGIR Conference on Research and …, 2020 | 14 | 2020 |
| Dynamic search–optimizing the game of information seeking Z Tang, GH Yang arXiv preprint arXiv:1909.12425, 2019 | 10 | 2019 |
| Corpus-level end-to-end exploration for interactive systems Z Tang, GH Yang Proceedings of the AAAI Conference on Artificial Intelligence 34 (03), 2527-2534, 2020 | 8 | 2020 |
| A Reinforcement Learning Approach for Dynamic Search. Z Tang, GH Yang TREC, 2017 | 8 | 2017 |
| High-quality dialogue diversification by intermittent short extension ensembles Z Tang, H Kulkarni, GH Yang Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021 …, 2021 | 7 | 2021 |
| High-quality diversification for task-oriented dialogue systems Z Tang, H Kulkarni, GH Yang arXiv preprint arXiv:2106.00891, 2021 | 5 | 2021 |
| A re-classification of information seeking tasks and their computational solutions Z Tang, GH Yang ACM Transactions on Information Systems (TOIS) 40 (4), 1-32, 2022 | 4 | 2022 |
| Corpus compression for deep reinforcement learning in natural language environments Z Tang, GH Yang The 41st International ACM SIGIR Conference on Research Development in …, 2020 | 2 | 2020 |
| Deep Reinforcement Learning for Interactive Systems Z Tang Georgetown University, 2021 | | 2021 |
| Reinforcement Learning Meets Information Seeking: Dynamic Search Challenge Z Tang, GH Yang | | 2020 |
