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Showing papers from Beijing University of Aeronautics and Astronautics Show all papers

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EditDistill: Is It Possible to Guide Video Editing with Image Editing

guojun lei, Hong Li, Hongbing Yang, Lixue Gong and 2 more

Sydney Poster Session 4, Wed, Dec 9, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026

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VeriScope: Measuring Verification-Ready Verilog Artifacts

Wei Zhang, Jian Yang, jiajun wu, Junhang Cheng and 3 more

Sydney Poster Session 4, Wed, Dec 9, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026

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AutoDataBench: How Far Are LLM Agents from Autonomously Engineering Post-Training Data Pipelines?

Qiaoyu Tang, Hao Xiang, Le Yu, Yaojie Lu and 9 more

Sydney Poster Session 6, Thu, Dec 10, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026

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BMAttn: Block-Aligned Mixed-Precision Attention Quantization for LLM Inference

Zining Wang, Haojie Duanmu, Zhihang Yuan, Fanliu Kong and 3 more

Sydney Poster Session 6, Thu, Dec 10, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026

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Learning a Trajectory-Geometric Condition from Reasoning for VLA Planning

Yuguang Yang, Zhewen Tan, Canyu Chen, Cheng Chi and 8 more

Sydney Poster Session 1, Tue, Dec 8, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026

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EvoInspect: A Unified Self-Evolving Multi-Agent Framework for Industrial Hardware Inspection

Zhuyun Yuan, Jiming Zhang, Haoyuan Sun, Jun Yin and 4 more

Sydney Poster Session 5, Thu, Dec 10, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026

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Coarse-to-Refine: Trajectory Self-Refinement in Single Autoregressive Pass for Driving VLA

Canyu Chen, Yuguang Yang, Jianing Pang, Zhewen Tan and 8 more

Sydney Poster Session 5, Thu, Dec 10, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026

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All-Addition Spiking Diffusion Models with Attention Enhancement

Yuhan Zhang, Yuanpei Chen, Zhou Jie, Weihang Peng and 3 more

Sydney Poster Session 2, Tue, Dec 8, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026

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Can Metadata Fix the Gauge? Calibration Turns Sparse Multi-Source Learning from Sparse PCA into Sparse Mean Recovery

Yibo Zhou, Yirong Xiang

Paris Poster Session 6, Fri, Dec 11, 2:30 PM–4:30 PM, Paris Poster Hall · Published 2026

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Where Do Long Captions Fail? Position-Aware Diagnosis and Reinforcement Learning for Detailed Image Captioning

Yuanze Hu, Zhichao Yang, Junwei Jing, Xin Yang and 8 more

Sydney Poster Session 3, Wed, Dec 9, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026

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From Solver Trajectories to Teaching Trajectories: Cognition-Aligned Reasoning Distillation

Yashuo Luo, Qianren Mao, ZiqiQin, Junnan Liu and 5 more

Sydney Poster Session 4, Wed, Dec 9, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026

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Hierarchical Adaptive Frame Sampling For Video Understanding

Y Ys, Daiqi Shi, Shuang Li, Liao Zhang and 2 more

Sydney Poster Session 3, Wed, Dec 9, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026

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On the Bias of Group-Based Advantage Estimation

Fengkai Yang, Zherui Chen, Xiaohan Wang, Xiaodong Lu and 8 more

Paris Poster Session 4, Thu, Dec 10, 5:30 PM–7:30 PM, Paris Poster Hall · Published 2026

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Stability-Enhanced Federated Learning with Accelerated Gradient

Tianxiang Chen, Wenjie Hou, Feng Wang, Tiantong Wang and 3 more

Sydney Poster Session 5, Thu, Dec 10, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026

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Behavior Pack Optimization for Video MLLM Post-Training

Zhaolu Kang, Shiyu Liu, Tailong Luo, Wei Zhang and 11 more

Sydney Poster Session 6, Thu, Dec 10, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026

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What Can Labels Alone Audit and Edit in Frozen Representations?

Yirong Xiang, Yibo Zhou

Paris Poster Session 1, Wed, Dec 9, 12:30 PM–2:30 PM, Paris Poster Hall · Published 2026

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DART: Domain-Agnostic Residual Transfer for Generalist Anomaly Detection

Muhammad Aqeel, Maham Nazir, Marco Cristani, Francesco Setti

Paris Poster Session 6, Fri, Dec 11, 2:30 PM–4:30 PM, Paris Poster Hall · Published 2026

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Knowing You before You Speak: User State Modeling for LLM-Based Personalized Dialogue

jiani luo, Xiaoyan Zhao, Yang Zhang, Shuyi Miao and 3 more

Sydney Poster Session 1, Tue, Dec 8, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026

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PhysFlow: Physics-Intrinsic Velocity Regularization for Motion-Intensive Video Generation

Xianglong Guo, Chang Yu, Haobo Xu, Junhao Ma and 1 more

Sydney Poster Session 2, Tue, Dec 8, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026

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Adaptive Robust Estimator for Policy Optimization in Reinforcement Learning

Zhongyi Li, Wan Tian, Jingyu Chen, Kangyao Huang and 7 more

Paris Poster Session 2, Wed, Dec 9, 5:00 PM–7:00 PM, Paris Poster Hall · Published 2026

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Dynamic Spectral Federated Graph-Level Clustering

Wenxin Zhang, Xi Xuan, Guangzhen Yao, Feng Zhou and 6 more

Sydney Poster Session 2, Tue, Dec 8, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026

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MuEdit: An efficient multi-task editing method towards inter-domain knowledge conflicts

Songshi Liang, Ting-En Lin, Zixuan Huang, Yuchuan Wu and 3 more

Sydney Poster Session 6, Thu, Dec 10, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026

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PGGT-Loc: Primitive-Grounded Geometry Transformer for Feed-Forward Camera Localization

Hanqiao Ye, Yuzhou Liu, Mengqi Rong, Jian Liu and 2 more

Sydney Poster Session 1, Tue, Dec 8, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026

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Localizing Concepts in Visual Autoregressive Models

Nanxiang Jiang, Yang Liu, Yuanhao Wang, Min Xu

Atlanta Poster Session 2, Wed, Dec 9, 4:30 PM–7:30 PM, Hall C1 · Published 2026

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Verifiable Environments Are LEGO Bricks: Recursive Composition for Reasoning Generalization

RACES recursively composes verifiable environments as LEGO bricks to scale RL reasoning training, boosting model performance on unseen benchmarks with far fewer base environments.

Hao Xiang, Qiaoyu Tang, Le Yu, Yaojie Lu and 7 more

Sydney Poster Session 4, Wed, Dec 9, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026 · ▲ 8 on Hugging Face

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AI panel: 12 of 20 reviewers recommend it
lenient 4/5
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Efficient Memory Crystallization for Graph Learning under Non-Stationary Distribution Shifts

EMC replaces generative memory synthesis with closed-form crystallization for efficient continual graph adaptation under non-stationary shifts, reducing runtime by 87.4% and GPU memory by 92.4%.

Yue Hou, Ruomei Liu, Yingke Su, Wu Junran and 1 more

Sydney Poster Session 2, Tue, Dec 8, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026

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lenient 5/5
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URDF-Anything+: End-to-End Generation for Simulation-Ready Articulated Assets

URDF-Anything+ directly generates simulation-ready articulated URDF models from single RGB images via end-to-end autoregressive diffusion, outperforming prior methods in reconstruction quality, joint estimation, and physical executability.

Zhuangzhe Wu, Yue Xin, Chengkai Hou, Minghao Chen and 3 more

Sydney Poster Session 3, Wed, Dec 9, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026 · ▲ 2 on Hugging Face

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lenient 5/5
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Defense-as-Skill: Evolving Runtime Guard Skill for Skill-Augmented Agents

Defense-as-Skill implements runtime guard SkillSonar as an editable skill that checks actions against task boundaries, reducing attack success rates substantially across agents via evolved guard-skill optimization.

Xiaofang Yang, Ziqi Miao, Dianbo Sui, Jing Shao and 1 more

Sydney Poster Session 6, Thu, Dec 10, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026

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AI panel: 16 of 20 reviewers recommend it
lenient 5/5
medium 9/10
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78%Highly rated
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VeriTrip: A Verifiable Benchmark for Travel Planning Agents over Unstructured Web Corpora

VeriTrip benchmarks travel planning agents via evidence-grounded reasoning over noisy multimodal web corpora, revealing a retrieval-reasoning trade-off that erodes instruction retention.

Yuting Xu, Jiayi Tian, Jian Liang, Xin Xiong and 3 more

Sydney Poster Session 1, Tue, Dec 8, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026

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lenient 5/5
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SUGAR: A Scalable Human-Video-Driven Generalizable Humanoid Loco-Manipulation Learning Framework

SUGAR converts human videos into humanoid loco-manipulation skills via automated priors, physics refinement, and policy distillation, scaling with video data and enabling zero-shot real-world transfer.

Tianshu Wu, Xiangqi Kong, Yue Chen, Qize Yu and 4 more

Sydney Poster Session 1, Tue, Dec 8, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026

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lenient 5/5
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Point Tracking Improves World Action Models

JOPAT predicts tracks and pixels via diffusion transformers to learn dynamics robust to occlusion and appearance variation, improving long-horizon robot policy performance.

Jiarui Guan, Wenshuai Zhao, Yue Pei, Ziliang Chen and 2 more

Sydney Poster Session 4, Wed, Dec 9, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026

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lenient 5/5
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A Self-Evolving Framework for Efficient Terminal Agents via Observational Context Compression

TACO is a training-free framework that learns adaptive compression rules from terminal agent trajectories to filter noisy observations, improving accuracy by 1-4% and reducing token usage across benchmarks.

JinCheng Ren, Siwei Wu, Yizhi Li, Zhu and 9 more

Sydney Poster Session 1, Tue, Dec 8, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026 · ▲ 24 on Hugging Face · Code ★ 47

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lenient 5/5
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Thinking with Imagination: Agentic Visual Spatial Reasoning with World Simulators

Astra enhances vision-language model spatial reasoning by letting agents generate imagined simulator views via RL, improving MMSI-Bench scores over direct answering.

Chenming Zhu, Jingli Lin, Yilin Long, Peizhou Cao and 3 more

Sydney Poster Session 3, Wed, Dec 9, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026 · ▲ 16 on Hugging Face · Code ★ 31

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lenient 4/5
medium 9/10
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76%Highly rated
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Heterogeneous Agent Collaborative Reinforcement Learning

HACRL enables heterogeneous agents to share verified rollouts during collaborative on-policy training and execute independently at inference, with HACPO improving all agents by 3.6% over baselines at half the rollout cost.

Zhixia Zhang, Zixuan Huang, Gonxun Li, Huaiyang Wang and 8 more

Paris Poster Session 5, Fri, Dec 11, 11:30 AM–1:30 PM, Paris Poster Hall · Published 2026 · ▲ 110 on Hugging Face

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AI panel: 10 of 20 reviewers recommend it
lenient 3/5
medium 7/10
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MaPP: A Unified Marginalized Posterior-Predictive Framework for Data-Efficient RLVR

MaPP unifies denoised response advantage estimation and prompt selection via Beta-Binomial marginalization to eliminate composition noise, improving RLVR efficiency and accuracy.

YangYang Ren, Haodong Zhu, Sheng Xu, Yanjing Li and 3 more

Sydney Poster Session 4, Wed, Dec 9, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026

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MIRAGE: Mobile Agents with Implicit Reasoning and Generative World Models

MIRAGE learns continuous latent reasoning for mobile agents, cutting decoded tokens 75% while matching explicit chain-of-thought accuracy and improving baselines up to 10.2 points via generative world modeling.

Zhichao Yang, Yuanze Hu, Haojie Hao, Longkun Hao and 6 more

Sydney Poster Session 5, Thu, Dec 10, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026

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lenient 5/5
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EcoGym: Evaluating LLMs for Long-Horizon Plan-and-Execute in Interactive Economies

EcoGym benchmarks long-horizon LLM economic planning across open-source environments, revealing no single model dominates and exposing strategic and execution suboptimalities.

Xueyu Hu, Jinxiang Xia, Shengze Xu, Kangqi Song and 12 more

Sydney Poster Session 5, Thu, Dec 10, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026 · ▲ 11 on Hugging Face · Code ★ 99

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Tracing the Cascade: A Topology-Aware Evaluation Framework for Scientific Agent Hallucinations

SCHEMA evaluates scientific agent hallucinations via topology-aware diagnostics, showing errors cluster at connected knowledge hubs and correct answers often stem from flawed reasoning.

Xinshun Feng, Ziqi Miao, Lijun Li, Jing Shao

Sydney Poster Session 5, Thu, Dec 10, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026

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lenient 5/5
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78%Highly rated
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Physics-Informed Video Generation via Mixture-of-Experts Latent Alignment

PILA injects physics-structured latent guidance into frozen video generators via mixture-of-experts alignment, achieving state-of-the-art physical plausibility and visual quality.

Cong Wang, Hanxin Zhu, Jiayi Luo, Yonglin Tian and 5 more

Sydney Poster Session 2, Tue, Dec 8, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026

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AI panel: 11 of 20 reviewers recommend it
lenient 3/5
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86%Must read
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AlloSpatial: Agentic Harness Framework for Spatial Reasoning in Foundation Models

AlloSpatial is an agentic framework that converts egocentric observations into allocentric spatial priors via cognitive mapping and reasoning harnesses, improving spatial reasoning by 5%-18% and outperforming larger general-purpose models.

Shouwei Ruan, Bin Wang, Zhenyu Wu, Qihui Zhu and 4 more

Sydney Poster Session 4, Wed, Dec 9, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026 · ▲ 4 on Hugging Face · Code ★ 21

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AI panel: 14 of 20 reviewers recommend it
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