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Xingyu Zeng

14 papers hereh-index 9508 citations18 works total

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

author position
  • middle author14

Across the 14 of 14 papers where every author was matched, so the position is known.

fields
  • cs.CV7
  • cs.CL4
  • cs.AI2
  • cs.CR1
same name
  • Xingyu Zeng — 15 papers, h 22
  • Xingyu Zeng — 3 papers, h 3
  • Xingyu Zeng — 2 papers, h 1

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
20232026
most citedTPTU-v2: Boosting Task Planning and Tool Usage of Large Language Model-based Agents in Real-world Systems

7 citations · 11 across the 12 of their papers we have counts for

collaborators
Showing 2026Show all

4 papers · 1 filter

cs.CL2026

XTurnix: Large-Scale Self-Supervised Turn Control through Two-State Binary Decisions

Zhanxun Liu, Yifan Duan, Hengtao Wu +7

General turn-taking behavior in real-time dialogue systems requires deciding whether to keep listening or start responding while listening, and whether to continue or stop while sp…

cs.CR2026

Gradient Immunity: Null-Space Resistance to Malicious Fine-Tuning

Yuxuan Huang, Xingyu Zeng, Tianhang Zheng +1

Released aligned large language models remain vulnerable to malicious downstream finetuning. Existing defenses are largely designed for the fine-tuning-as-a-service (FTaaS) paradig…

cs.CV2026

Prisma-World: Camera-Controllable Multi-Agent Video World Model

Huiqiang Sun, Zhan Peng, Size Wu +9

Video world models have made rapid progress in generating controllable visual experiences, but most of them still simulate the world from a single observer. Extending such models t…

cs.CV2026

Performance-guided Reinforced Active Learning for Object Detection

Zhixuan Liang, Xingyu Zeng, Rui Zhao +1

Active learning (AL) strategies aim to train high-performance models with minimal labeling efforts, only selecting the most informative instances for annotation. Current approaches…

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