Chang Liu

Orcid: 0009-0003-3865-2434

Affiliations:
  • Southeast University, Nanjing, China


According to our database1, Chang Liu authored at least 10 papers between 2023 and 2026.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

Online presence:

On csauthors.net:

Bibliography

2026
ViewSAM: Learning View-aware Cross-modal Semantics for Weakly Supervised Cross-view Referring Multi-Object Tracking.
CoRR, May, 2026

PACEP: Steering large language models toward coherent user profile tracking and strategy selection in emotional support conversations.
Expert Syst. Appl., 2026

2025
D<sup>3</sup>{ETOR}: <i>D</i>ebate-Enhanced Pseudo Labeling and Frequency-Aware Progressive Debiasing for Weakly-Supervised Camouflaged Object <i>D</i>etection with Scribble Annotations.
CoRR, December, 2025

Beyond Visual Cues: Synchronously Exploring Target-Centric Semantics for Vision-Language Tracking.
ACM Trans. Multim. Comput. Commun. Appl., May, 2025

Dual-Domain Triple Contrast for Cross-Dataset Skeleton-Based Action Recognition.
ACM Trans. Multim. Comput. Commun. Appl., April, 2025

Causality-inspired representation learning for weakly supervised skeleton-based action recognition.
Knowl. Based Syst., 2025

Gen4Track: A Tuning-free Data Augmentation Framework via Self-correcting Diffusion Model for Vision-Language Tracking.
Proceedings of the 33rd ACM International Conference on Multimedia, 2025

SKL-CLIP: Learning Skeleton-Based Action Representations via Language Supervision.
Proceedings of the IEEE International Conference on Multimedia and Expo, 2025

2024
Consistencies are All You Need for Semi-supervised Vision-Language Tracking.
Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024

2023
Group Popularity Prediction in EBSN based on an Improved Self-Excited Hawkes Process.
Proceedings of the 26th International Conference on Computer Supported Cooperative Work in Design, 2023


  Loading...