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researcher

Peng Sun

4 papers hereh-index 111 citations6 works total

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

author position
  • middle author3
  • last author1

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

fields
  • cs.CV2
  • cs.AI1
  • cs.CL1
same name
  • Peng Sun — 22 papers, h 6
  • Peng Sun — 19 papers, h 15
  • Peng Sun — 14 papers, h 14
  • Peng Sun — 14 papers, h 4
  • Peng Sun — 9 papers, h 3
  • Peng Sun — 8 papers

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
20242026
most citedLarge Language Models as Agents in Two-Player Games

1 citations · 1 across the 4 of their papers we have counts for

collaborators

4 papers

cs.CV2026

Motion Semantics Guided Normalizing Flow for Privacy-Preserving Video Anomaly Detection

Yang Liu, Boan Chen, Yuanyuan Meng +5

As embodied perception systems increasingly bridge digital and physical realms in interactive multimedia applications, the need for privacy-preserving approaches to understand huma…

cs.AI2025

Event-CausNet: Unlocking Causal Knowledge from Text with Large Language Models for Reliable Spatio-Temporal Forecasting

Luyao Niu, Zepu Wang, Shuyi Guan +2

While spatio-temporal Graph Neural Networks (GNNs) excel at modeling recurring traffic patterns, their reliability plummets during non-recurring events like accidents. This failure…

cs.CV2025

M2S2L: Mamba-based Multi-Scale Spatial-temporal Learning for Video Anomaly Detection

Yang Liu, Boan Chen, Xiaoguang Zhu +3

Video anomaly detection (VAD) is an essential task in the image processing community with prospects in video surveillance, which faces fundamental challenges in balancing detection…

cs.CL2024★ 1 cited

Large Language Models as Agents in Two-Player Games

Yang Liu, Peng Sun, Hang Li

By formally defining the training processes of large language models (LLMs), which usually encompasses pre-training, supervised fine-tuning, and reinforcement learning with human f…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.