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researcher

Lu Zheng

4 papers hereh-index 2125 citations5 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author3

Across the 3 of 4 papers where every author was matched, so the position is known.

fields
  • cs.AI1
  • cs.CL1
  • cs.IR1
  • cs.LG1
same name
  • Lu Zheng — 11 papers, h 13
  • Lu Zheng — 3 papers, h 4
  • Lu Zheng — 3 papers
  • Lu Zheng — 2 papers
  • Lu Zheng — 1 paper, h 21
  • Lu Zheng — 1 paper, h 4

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20182026
most citedEpisodic Multi-agent Reinforcement Learning with Curiosity-Driven Exploration

41 citations · 42 across the 4 of their papers we have counts for

collaborators

4 papers

cs.CL2026

GroupTravelBench: Benchmarking LLM Agents on Multi-Person Travel Planning

Xiang Cheng, Yulan Hu, Lulu Zheng +4

Travel planning in the real world is overwhelmingly a \textit{group} activity, yet existing LLM travel-planning benchmarks reduce it to a single user, where the field is approachin…

cs.AI2026

Multi-Stakeholder LLM Alignment: Decomposing Estimation from Aggregation

Lulu Zheng, Wenjin Yang, Xiangwen Zhang +4

Multi-stakeholder tasks require one output to satisfy users with conflicting preferences. Holistic LLM judges conflate utility estimation and utility aggregation, yielding unstable…

cs.LG2021★ 41 cited

Episodic Multi-agent Reinforcement Learning with Curiosity-Driven Exploration

Lulu Zheng, Jiarui Chen, Jianhao Wang +6

Efficient exploration in deep cooperative multi-agent reinforcement learning (MARL) still remains challenging in complex coordination problems. In this paper, we introduce a novel…

cs.IR2018★ 1 cited

Collaborative Multi-modal deep learning for the personalized product retrieval in Facebook Marketplace

Lu Zheng, Zhao Tan, Kun Han +1

Facebook Marketplace is quickly gaining momentum among consumers as a favored customer-to-customer (C2C) product trading platform. The recommendation system behind it helps to sign…

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