Junlong Tong

Orcid: 0000-0001-5078-7401

According to our database1, Junlong Tong authored at least 18 papers between 2022 and 2026.

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

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

On csauthors.net:

Bibliography

2026
From Static Inference to Dynamic Interaction: A Survey of Streaming Large Language Models.
CoRR, March, 2026

Think-as-You-See: Streaming Chain-of-Thought Reasoning for Large Vision-Language Models.
CoRR, March, 2026

What Do Visual Tokens Really Encode? Uncovering Sparsity and Redundancy in Multimodal Large Language Models.
CoRR, March, 2026

UTPTrack: Towards Simple and Unified Token Pruning for Visual Tracking.
CoRR, February, 2026

HiDrop: Hierarchical Vision Token Reduction in MLLMs via Late Injection, Concave Pyramid Pruning, and Early Exit.
CoRR, February, 2026

Rethinking the Role of LLMs in Time Series Forecasting.
CoRR, February, 2026

On-Policy Supervised Fine-Tuning for Efficient Reasoning.
CoRR, February, 2026

Speak While Watching: Unleashing TRUE Real-Time Video Understanding Capability of Multimodal Large Language Models.
CoRR, January, 2026

2025
The Few Govern the Many:Unveiling Few-Layer Dominance for Time Series Models.
CoRR, November, 2025

StreamingThinker: Large Language Models Can Think While Reading.
CoRR, October, 2025

SkipGPT: Dynamic Layer Pruning Reinvented with Token Awareness and Module Decoupling.
CoRR, June, 2025

SkipGPT: Each Token is One of a Kind.
Proceedings of the Forty-second International Conference on Machine Learning, 2025

Context Guided Transformer Entropy Modeling for Video Compression.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2025

VisiPruner: Decoding Discontinuous Cross-Modal Dynamics for Efficient Multimodal LLMs.
Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing, 2025

LLM as Effective Streaming Processor: Bridging Streaming-Batch Mismatches with Group Position Encoding.
Proceedings of the Findings of the Association for Computational Linguistics, 2025

2023
Enhancing time series forecasting: A hierarchical transformer with probabilistic decomposition representation.
Inf. Sci., November, 2023

Probabilistic Decomposition Transformer for Time Series Forecasting.
Proceedings of the 2023 SIAM International Conference on Data Mining, 2023

2022
Probabilistic Decomposition Transformer for Time Series Forecasting.
CoRR, 2022


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