Yansong Shi

Orcid: 0009-0003-4771-7957

According to our database1, Yansong Shi authored at least 15 papers between 2021 and 2026.

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

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

On csauthors.net:

Bibliography

2026
RIVER: A Real-Time Interaction Benchmark for Video LLMs.
CoRR, March, 2026

Adaptive forecasting of non-equidistant industrial integration time series using nonlinear grey modeling with discrete Fourier residual modification.
Adv. Eng. Informatics, 2026

2025
A type-2 fuzzy review topic-based model for personalized recommendation.
Electron. Commer. Res., October, 2025

Distributionally Robust Wireless Semantic Communication with Large AI Models.
CoRR, June, 2025

CoMo: Learning Continuous Latent Motion from Internet Videos for Scalable Robot Learning.
CoRR, May, 2025

Probing Digital Footprints and Reaching for Inherent Preferences: A Cause-Disentanglement Approach to Personalized Recommendations.
Inf. Syst. Res., 2025

A novel self-adaptive multivariate grey model with external intervention for port cargo throughput prediction.
Grey Syst. Theory Appl., 2025

OSSDetector: Towards a More Accurate Approach for C/C++ Third-Party Library Detection.
Proceedings of the 24th IEEE International Conference on Trust, 2025

TimeSuite: Improving MLLMs for Long Video Understanding via Grounded Tuning.
Proceedings of the Thirteenth International Conference on Learning Representations, 2025

2024
InternVideo2: Scaling Video Foundation Models for Multimodal Video Understanding.
CoRR, 2024

Collaboration and Transition: Distilling Item Transitions into Multi-Query Self-Attention for Sequential Recommendation.
Proceedings of the 17th ACM International Conference on Web Search and Data Mining, 2024

InternVideo2: Scaling Foundation Models for Multimodal Video Understanding.
Proceedings of the Computer Vision - ECCV 2024, 2024

2022
Personalized Recommendation through Disentangled Representation Learning of Consumers' Multiple Digital Footprints.
Proceedings of the 43rd International Conference on Information Systems, 2022

2021
A Dynamic-Data-Driven Method for Improving the Performance of Receiver Autonomous Integrity Monitoring.
IEEE Access, 2021

Training Personalized Recommender Systems with Biased Data: A Joint Likelihood Approach to Modeling Consumer Self-selection Behaviors.
Proceedings of the 42nd International Conference on Information Systems, 2021


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