Jiashuo Yu

Orcid: 0000-0002-3094-6687

According to our database1, Jiashuo Yu authored at least 43 papers between 2021 and 2026.

Collaborative distances:

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

Online presence:

On csauthors.net:

Bibliography

2026
VBench++: Comprehensive and Versatile Benchmark Suite for Video Generative Models.
IEEE Trans. Pattern Anal. Mach. Intell., March, 2026

Leveraging Large Language Models for Multi-Objective and Adaptive SFC Deployment: Techniques, Case Study, and Promising Directions.
IEEE Commun. Mag., January, 2026

DeepConfig: A verifiable configuration generation framework for MAN overlays using LLMs.
Comput. Networks, 2026

Proteus: Towards Accurate and Low-overhead In-Network Malicious Traffic Detection.
Proceedings of the ACM Web Conference 2026, 2026

2025
ExpVid: A Benchmark for Experiment Video Understanding & Reasoning.
CoRR, October, 2025

LaVie: High-Quality Video Generation with Cascaded Latent Diffusion Models.
Int. J. Comput. Vis., May, 2025

InternVideo2.5: Empowering Video MLLMs with Long and Rich Context Modeling.
CoRR, January, 2025

VideoChat-Flash: Hierarchical Compression for Long-Context Video Modeling.
CoRR, January, 2025

Handling Data Plane Program Deployment Dynamics with High-Quality Generative Diffusion Models.
Proceedings of the 33rd IEEE/ACM International Symposium on Quality of Service, 2025

Polyx: Accelerating Verification of Traffic Migration in Large-Scale BGP Networks.
Proceedings of the 33rd IEEE/ACM International Symposium on Quality of Service, 2025

Monica: Towards Scalable Distributed System Verification by Programmable Switch-Based Testing.
Proceedings of the 33rd IEEE/ACM International Symposium on Quality of Service, 2025

Scaling Learning-based Packet Classification Hardware with NeuTree.
Proceedings of the IEEE INFOCOM 2025, 2025

EffiMatch: Enabling Fast and Accurate Learning-based Packet Classification.
Proceedings of the 33rd IEEE International Conference on Network Protocols, 2025

OmniCorpus: A Unified Multimodal Corpus of 10 Billion-Level Images Interleaved with Text.
Proceedings of the Thirteenth International Conference on Learning Representations, 2025

VRBench: A Benchmark for Multi-Step Reasoning in Long Narrative Videos.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2025

P4Alex: A Scalable Range Matching Approach for Programmable Switches.
Proceedings of the IEEE International Conference on Communications, 2025

DHC: Distributed Homomorphic Compression for Gradient Aggregation in Allreduce.
Proceedings of the IEEE International Conference on Communications, 2025

VEU-Bench: Towards Comprehensive Understanding of Video Editing.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

2024
Learning Music-Dance Representations Through Explicit-Implicit Rhythm Synchronization.
IEEE Trans. Multim., 2024

VBench++: Comprehensive and Versatile Benchmark Suite for Video Generative Models.
CoRR, 2024

OmniCorpus: A Unified Multimodal Corpus of 10 Billion-Level Images Interleaved with Text.
CoRR, 2024

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

TransTuple: Toward Fast Packet Classification via Adaptive Tuple Replacement.
Proceedings of the 21st Annual IEEE International Conference on Sensing, 2024

TupleRadar: Accelerating Tuple Space Search in Packet Classification by Learned Index.
Proceedings of the 32nd IEEE/ACM International Symposium on Quality of Service, 2024

InternVid: A Large-scale Video-Text Dataset for Multimodal Understanding and Generation.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

SEINE: Short-to-Long Video Diffusion Model for Generative Transition and Prediction.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

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

VBench: Comprehensive Benchmark Suite for Video Generative Models.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023
InternVid: A Large-scale Video-Text Dataset for Multimodal Understanding and Generation.
CoRR, 2023

InternGPT: Solving Vision-Centric Tasks by Interacting with Chatbots Beyond Language.
CoRR, 2023

DTRadar: Accelerating Search Process of Decision Trees in Packet Classification.
Proceedings of the IEEE Symposium on Computers and Communications, 2023

Long-Term Rhythmic Video Soundtracker.
Proceedings of the International Conference on Machine Learning, 2023

MiCuts: Combing Bit-Based Cutting and Splitting for Efficient Packet Classification.
Proceedings of the IEEE International Conference on Communications, 2023

MINT: Empowering Multiple Flow Definition Query for Network-Wide Measurement.
Proceedings of the IEEE International Conference on Communications, 2023

2022
InternVideo: General Video Foundation Models via Generative and Discriminative Learning.
CoRR, 2022

InternVideo-Ego4D: A Pack of Champion Solutions to Ego4D Challenges.
CoRR, 2022

Self-Supervised Learning of Music-Dance Representation through Explicit-Implicit Rhythm Synchronization.
CoRR, 2022

Modality-aware Contrastive Instance Learning with Self-Distillation for Weakly-Supervised Audio-Visual Violence Detection.
Proceedings of the MM '22: The 30th ACM International Conference on Multimedia, Lisboa, Portugal, October 10, 2022

MM-Pyramid: Multimodal Pyramid Attentional Network for Audio-Visual Event Localization and Video Parsing.
Proceedings of the MM '22: The 30th ACM International Conference on Multimedia, Lisboa, Portugal, October 10, 2022

FROD: An Efficient Framework for Optimizing Decision Trees in Packet Classification.
Proceedings of the 30th IEEE/ACM International Symposium on Quality of Service, 2022

2021
Exploring Logical Reasoning for Referring Expression Comprehension.
Proceedings of the MM '21: ACM Multimedia Conference, Virtual Event, China, October 20, 2021

MPN: Multimodal Parallel Network for Audio-Visual Event Localization.
Proceedings of the 2021 IEEE International Conference on Multimedia and Expo, 2021

Improving Multimodal Speech Enhancement by Incorporating Self-Supervised and Curriculum Learning.
Proceedings of the IEEE International Conference on Acoustics, 2021


  Loading...