--- title: "Hongjin Qian · Peking University — author profile and papers" description: "Hongjin Qian, Peking University: 7 papers on Elamur Research (2025–2026), h-index 1 — affiliations, topics, co-authors and who cites them…" canonical: "https://research.elamur.ai/free/en/authors/hongjin-qian/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/hongjin-qian/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Hongjin Qian # Hongjin Qian Hongjin Qian has 7 papers in our library, in 2025–2026, most of them on [Reasoning](https://md.research.elamur.ai/free/en/topics/reasoning/); often with [Zheng Liu](https://md.research.elamur.ai/free/en/authors/zheng-liu/), [Zhao Cao](https://md.research.elamur.ai/free/en/authors/zhao-cao/), [Ji-Rong Wen](https://md.research.elamur.ai/free/en/authors/ji-rong-wen/). 7 papers in our library · 2025–2026 [OpenAlex](https://openalex.org/A5139823950) · [**h-index 1**](https://openalex.org/authors/A5139823950) · [4 works](https://openalex.org/works?filter=author.id:A5139823950) · [1 citations](https://openalex.org/works?filter=author.id:A5139823950&sort=cited_by_count:desc) OpenAlex, 2026-10-14 [📄 7 works in our library](https://md.research.elamur.ai/free/en/authors/hongjin-qian/#papers) · [🔗 Cited 69 times in our library](https://md.research.elamur.ai/free/en/authors/hongjin-qian/cited-by/) · [⭐ Paper Stars ranking: #8449](https://md.research.elamur.ai/free/en/paper-stars/page/85/#star-8449) The profile is the library's match of the name; two people with one name are not always told apart. Elsewhere: [Google Scholar](https://scholar.google.com/citations?view_op=search_authors&mauthors=Hongjin+Qian) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Hongjin+Qian) · [dblp](https://dblp.org/search?q=Hongjin+Qian) · [ACL Anthology](https://aclanthology.org/search/?q=Hongjin+Qian) ## Affiliations [🔬**Beijing Academy of Artificial Intelligence** Beijing · China 2026 · 4 papers*current*](https://md.research.elamur.ai/free/en/labs/beijing-academy-of-artificial-intelligence/) · [🎓**Peking University** Beijing · China 2026 · 1 paper*current*](https://md.research.elamur.ai/free/en/universities/peking-university/) From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. ## Fields, topics and concepts Of its works in our library, with the number of works on each. 📚 Shelves 6 The field of science this work belongs to (OpenAlex fields).[Computer Science · 7 works](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Arts and Humanities · 4 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Artificial Intelligence · 6 works](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · [Information Systems · 6 works](https://md.research.elamur.ai/free/en/shelves/computer-science/information-systems/) · [Language and Linguistics · 4 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/) · [Computer Vision and Pattern Recognition · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/computer-vision-and-pattern-recognition/) 🧭 Topics 1 Research subjects and languages the work is about.[Reasoning · 3 works](https://md.research.elamur.ai/free/en/topics/reasoning/) ## Works by year ### 2020s [**2026** 6 papers](https://md.research.elamur.ai/free/en/authors/hongjin-qian/year/2026/) · [**2025** 1 paper](https://md.research.elamur.ai/free/en/authors/hongjin-qian/year/2025/) ## Papers The most cited first (OpenAlex and our library). 1. **[WebThinker: Empowering Large Reasoning Models with Deep Research Capability](https://md.research.elamur.ai/free/en/papers/li-2025-webthinker-empowering-large-reasoning-models/)** *(2025 · 72 citations)* Large reasoning models such as DeepSeek-R1 and QwQ handle long reasoning chains well, but they can only use what they memorized during training. 2. **[LiveLongBench: Tackling Long-Context Understanding for Spoken Texts from Live Streams](https://md.research.elamur.ai/free/en/papers/wu-2026-livelongbench-tackling-long-context-understanding/)** *(2026 · 1 citation)* Current long-context benchmarks are built mostly from polished written text. Real conversational speech is different: it is full of fillers, repetition, fragmented syntax and topic shifts. The authors address this gap with LiveLongBench, a benchmark built from transcripts of Douyin e-commerce live streams. Its… 3. **[MemoBrain: Executive Memory as an Agentic Brain for Reasoning](https://md.research.elamur.ai/free/en/papers/qian-2026-memobrain-executive-memory-as-agentic/)** *(2026 · 1 citation)* Tool-using LLM agents on long-horizon tasks accumulate reasoning traces and tool outputs. These fill their limited context window with noise, which weakens coherence and goal alignment. The authors propose "executive memory" as a remedy. It is a per-task memory that starts empty, evolves online with the reasoning… 4. **[AgentFactory: A Self-Evolving Framework Through Executable Subagent Accumulation and Reuse](https://md.research.elamur.ai/free/en/papers/zhang-2026-agentfactory-self-evolving-framework-through/)** *(2026)* Most self-evolving LLM agents store past successes as text, such as reflections, prompts or reasoning traces. 5. **[AWARE: Agentic Knowledge Warehousing for Contextual Intelligence](https://md.research.elamur.ai/free/en/papers/qian-2026-aware-agentic-knowledge-warehousing-contextual/)** *(2026)* LLMs often fail on questions that need specialized or recent knowledge, and current fixes involve trade-offs. 6. **[Reinforcing Agentic Search Via Reward Density Optimization](https://md.research.elamur.ai/free/en/papers/luo-2026-reinforcing-agentic-search-reward-density/)** *(2026)* Training search agents with reinforcement learning from verifiable rewards (RLVR) runs into a sparsity problem. 7. **[Web Sitemap Knowledge Can Enhance Autonomous Browsing](https://md.research.elamur.ai/free/en/papers/zhang-2026-web-sitemap-knowledge-can-enhance/)** *(2026)* LLM-based web agents often fail on real websites. They see only one page at a time, so they cannot infer how a site is organized. HTML or screenshot inputs also miss interface details such as collapsed menus. The authors argue that agents need external knowledge of the website, not only stronger policies. Their… ## Co-authors here 12 of 23 co-authors with a page, the most papers together first. - [Zheng Liu](https://md.research.elamur.ai/free/en/authors/zheng-liu/) ×4 - [Zhao Cao](https://md.research.elamur.ai/free/en/authors/zhao-cao/) ×3 - [Ji-Rong Wen](https://md.research.elamur.ai/free/en/authors/ji-rong-wen/) ×2 - [Jiajie Jin](https://md.research.elamur.ai/free/en/authors/jiajie-jin/) ×2 - [Siqi Bao](https://md.research.elamur.ai/free/en/authors/siqi-bao/) ×2 - [Yutao Zhu](https://md.research.elamur.ai/free/en/authors/yutao-zhu/) ×2 - [Zhicheng Dou](https://md.research.elamur.ai/free/en/authors/zhicheng-dou/) ×2 - [Di He](https://md.research.elamur.ai/free/en/authors/di-he/) - [Guanting Dong](https://md.research.elamur.ai/free/en/authors/guanting-dong/) - [Hongyu Lu](https://md.research.elamur.ai/free/en/authors/hongyu-lu/) - [Jun Zhao](https://md.research.elamur.ai/free/en/authors/jun-zhao/) - [Kang Liu](https://md.research.elamur.ai/free/en/authors/kang-liu/) ## Venues Where their works here were published, the most works first, with the editions of those that have a page. - [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/) ×4: [Findings of the Association for Computational Linguistics 2026](https://md.research.elamur.ai/free/en/venues/findings/2026/) ×4 - [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/) ×2: [ACL 2026](https://md.research.elamur.ai/free/en/venues/acl/2026/) ×2 - [Conference on Neural Information Processing Systems (NeurIPS)](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/): [NeurIPS 2025](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/2025/) ## Cited by Papers of our library cite their works 69 times (of the 149,439 papers whose bibliographies we read); [30 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/hongjin-qian/cited-by/). Updated 2 November 2026