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Qiyuan Zhu

7 accepted papers

2026

EffiVMT: Video Motion Transfer via Efficient Spatial-Temporal Decoupled Finetuning

ICLR 2026poster

Recently, breakthroughs in the video diffusion transformer have shown remarkable capabilities in diverse motion generations. As for the motion-transfer task, current methods mainly use two-stage Low-Rank Adaptations (LoRAs) finetuning to obtain better performance. However, existing adaptation-based…

Cited by 0SourceScholar
2026

IndexMem: Learned KV-Cache Eviction with Latent Memory for Long-Context LLM Inference

ICML 2026poster

Large Language Models (LLMs) are increasingly expected to operate over long contexts, yet standard softmax attention incurs a KV cache that grows linearly with sequence length, quickly becoming the bottleneck for long context inference. A practical remedy is to evict less important KV entries; howev…

Cited by 0SourceScholar
2026

Outlier Matters: Efficient Long-to-Short Reasoning via Outlier-Guided Model Merging

AAAI 2026technical

Large Reasoning Language Models (LRMs) have recently shown remarkable performance in complex reasoning tasks, but their extensive reasoning chains incur substantial computational overhead. To address this challenge, we propose Outlier-aware Reasoning Conciseness Adaptive Merge (ORCA), a novel plug-a

Cited by 0SourcePDFScholar
2026

Sub-MoE: Efficient Mixture-of-Expert LLMs Compression via Subspace Expert Merging

AAAI 2026technical

Mixture of Experts (MoE) LLMs face significant obstacles due to their massive parameter scale, which imposes memory, storage, and deployment challenges. Although recent expert merging methods aim to achieve greater efficiency by consolidating several experts, they are fundamentally hindered by param

Cited by 0SourcePDFScholar
2023

M6Doc: A Large-Scale Multi-Format, Multi-Type, Multi-Layout, Multi-Language, Multi-Annotation Category Dataset for Modern Document Layout Analysis

CVPR 2023poster

Document layout analysis is a crucial prerequisite for document understanding, including document retrieval and conversion. Most public datasets currently contain only PDF documents and lack realistic documents. Models trained on these datasets may not generalize well to real-world scenarios. Theref…

2022

Look Closer To Supervise Better: One-Shot Font Generation via Component-Based Discriminator

CVPR 2022oral

Automatic font generation remains a challenging research issue due to the large amounts of characters with complicated structures. Typically, only a few samples can serve as the style/content reference (termed few-shot learning), which further increases the difficulty to preserve local style pattern…

Cited by 72PDFcodeScholar
2017

Decentralized navigation of multiple agents based on ORCA and model predictive control

IROS 2017poster

This paper presents a decentralized strategy for collision-free navigation of multiple agents. This strategy combines the Optimal Reciprocal Collision Avoidance (ORCA) algorithm and Model Predictive Control (MPC). Concretely, each agent applies the decentralized ORCA algorithm to compute the collisi…

Cited by 62SourceScholar