Zhen Guo
Zhen Guo has 2 papers in our library, in 2019–2021, most of them on Dialogue systems; often with Haifeng Wang, Hua Wu, Wenquan Wu.
OpenAlex · ORCID · Wikidata · h-index 19 · 162 works · 1,256 citations OpenAlex, 2026-10-14
📄 2 works in our library · 🔗 Cited 114 times in our library · ⭐ Paper Stars ranking: #3967
Affiliations
🎓Zhengzhou UniversityZhengzhou ·
China2016–2026 · 16 papers🔬China Automotive Technology and Research CenterTianjin ·
China2023–2026 · 7 papers🎓Guilin University of Electronic TechnologyGuilin ·
China2018–2026 · 4 papers🎓Zhejiang UniversityHangzhou ·
China2024–2026 · 3 papers🎓Tsinghua UniversityBeijing ·
China2025–2026 · 2 papers🏥First Affiliated Hospital Zhejiang UniversityHangzhou ·
China2026 · 1 paper🎓Henan Medical CollegeZhengzhou ·
China2026 · 1 paper🎓Hainan UniversityHaikou ·
China2012–2025 · 21 papers🎓Binghamton UniversityBinghamton ·
United States2007–2016 · 16 papers🏥Henan Cancer HospitalZhengzhou ·
China2016–2020 · 13 papers
Concepts, shelves and topics
📚 Shelves 4The field of science this work belongs to (OpenAlex fields).Artificial Intelligence · 2 worksArts and Humanities · 2 worksComputer Science · 2 worksLanguage and Linguistics · 2 works
🧭 Topics 1Research subjects and languages the work is about.Dialogue systems · 1 work
Works by year
2020s
2010s
Papers
- Proactive Human-Machine Conversation with Explicit Conversation Goal (2019 · 206 citations)
Most dialogue systems simply react to the user and do not steer the exchange. This Baidu paper defines a task in which an agent must actively guide a chat toward a preset target: a two-hop path "[start] → topic a → topic b", where each topic is an entity in a knowledge graph. The authors crawled movie and film-star… - PLATO-2: Towards Building an Open-Domain Chatbot via Curriculum Learning (2021 · 145 citations)
PLATO-2 addresses the difficulty of scaling an open-domain chatbot that explicitly models the one-to-many nature of dialogue, where a single context can have many valid replies.
Co-authors here
Venues
- Annual Meeting of the Association for Computational Linguistics (ACL): ACL 2019
- Findings of the Association for Computational Linguistics: Findings of the Association for Computational Linguistics 2021
Cited by
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