Tianxiang Hao

Orcid: 0000-0002-1952-6083

According to our database1, Tianxiang Hao authored at least 16 papers between 2020 and 2025.

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

Timeline

Legend:

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Links

On csauthors.net:

Bibliography

2025
GLM-4.1V-Thinking: Towards Versatile Multimodal Reasoning with Scalable Reinforcement Learning.
CoRR, July, 2025

Urban1960SatSeg: Unsupervised Semantic Segmentation of Mid-20<sup>th</sup> century Urban Landscapes with Satellite Imageries.
CoRR, June, 2025

SpecOffload: Unlocking Latent GPU Capacity for LLM Inference on Resource-Constrained Devices.
CoRR, May, 2025

Cross-Modality Prompts: Few-Shot Multi-Label Recognition With Single-Label Training.
IEEE Trans. Multim., 2025

TempMe: Video Temporal Token Merging for Efficient Text-Video Retrieval.
Proceedings of the Thirteenth International Conference on Learning Representations, 2025

DiscoVLA: Discrepancy Reduction in Vision, Language, and Alignment for Parameter-Efficient Video-Text Retrieval.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

2024
Manipulating Identical Filter Redundancy for Efficient Pruning on Deep and Complicated CNN.
IEEE Trans. Neural Networks Learn. Syst., November, 2024

TempMe: Video Temporal Token Merging for Efficient Text-Video Retrieval.
CoRR, 2024

PYRA: Parallel Yielding Re-activation for Training-Inference Efficient Task Adaptation.
Proceedings of the Computer Vision - ECCV 2024, 2024

Learn from the Learnt: Source-Free Active Domain Adaptation via Contrastive Sampling and Visual Persistence.
Proceedings of the Computer Vision - ECCV 2024, 2024

Quantized Prompt for Efficient Generalization of Vision-Language Models.
Proceedings of the Computer Vision - ECCV 2024, 2024

2023
Re-parameterized Low-rank Prompt: Generalize a Vision-Language Model within 0.5K Parameters.
CoRR, 2023

Consolidator: Mergeable Adapter with Grouped Connections for Visual Adaptation.
CoRR, 2023

Consolidator: Mergable Adapter with Group Connections for Visual Adaptation.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

2021
ResRep: Lossless CNN Pruning via Decoupling Remembering and Forgetting.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

2020
Lossless CNN Channel Pruning via Gradient Resetting and Convolutional Re-parameterization.
CoRR, 2020


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