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Showing papers from Institute of Computing Technology, Chinese Academy of Sciences Show all papers

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SceneScaffold: Active Scene-State Construction for Unified 3D Scene Understanding

Xiangqi Li, Libo Huang, Jiarui Zhao, Weilun Feng 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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ToPA: Block-wise Toeplitz Adaptation for Expressive and Efficient Fine-Tuning

Sicong Li, Qianqian Xu, Zhiyong Yang, Zitai Wang and 3 more

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

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AI panel: 0 of 20 reviewers recommend it
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57%Worth a look
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OASIS: Online Adaptive Steering for In-Training Safety of LLMs

Yifan Sun, Qiang Sheng, Ya Wu, Zhengjia Wang and 4 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: 1 of 20 reviewers recommend it
lenient 1/5
medium 0/10
strict 0/5
57%Worth a look
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Efficient SAM 3 Adaptation for Multi-Class Semantic Segmentation via Dense Competitive Representations

Wenbin Liao, Hao Zhu, Yike Ma, Hao Jiang 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: 1 of 20 reviewers recommend it
lenient 1/5
medium 0/10
strict 0/5
57%Worth a look
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Masked Diffusion Language Agents for Tool-Integrated Chemical Reasoning

Mengdi Liu, Chenghao Jia, Hong Chang, Shiguang Shan

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

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AI panel: 1 of 20 reviewers recommend it
lenient 1/5
medium 0/10
strict 0/5
67%Highly rated
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LLMs Optimizing LLMs: Automated MegaKernel Generation for Inference Acceleration

Weiqiang Xiong, Shaohui Peng, Wenyi Li, Hao Lu and 7 more

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

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AI panel: 2 of 20 reviewers recommend it
lenient 2/5
medium 0/10
strict 0/5
57%Worth a look
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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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AI panel: 1 of 20 reviewers recommend it
lenient 0/5
medium 1/10
strict 0/5
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What if Agents Could Imagine? Reinforcing Open-Vocabulary HOI Comprehension through Generation

Zhenlong Yuan, Yue Wang, Jing Tang, Rui Chen and 8 more

Atlanta Poster Session 6, Fri, Dec 11, 4:30 PM–7:30 PM, Hall C1 · Published 2026

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AI panel: 0 of 20 reviewers recommend it
lenient 0/5
medium 0/10
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VecDBLens: A Modular Framework for Diagnosing Vector Databases Retrieval Pipelines

Yutong Zhou, Guoxin Kang, Wenxin Zhou, Haoyu He 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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lenient 0/5
medium 0/10
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DDACOM: Dual-Decoupled Adaptive Communication for Multi-Agent Reinforcement Learning under Dynamic Networks

Yiqun Wu, QI WANG, Mengxian Li, Yongjun Xu

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

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lenient 0/5
medium 0/10
strict 0/5
57%Worth a look
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Flux: Online, Fine-Grained Data Scheduling for Training Machine Learning Interatomic Potentials

Yuanchang Zhou, Chen Wang, Hongtao Xu, Mingzhen Li 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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AI panel: 1 of 20 reviewers recommend it
lenient 1/5
medium 0/10
strict 0/5
67%Highly rated
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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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AI panel: 2 of 20 reviewers recommend it
lenient 2/5
medium 0/10
strict 0/5
57%Worth a look
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Bridging Simulation and Reality: Geometry and Decision Alignment for Autonomous Driving

Dapeng Zhang, Zhenlong Yuan, Chenyang Li, Hongtao Nie and 4 more

Atlanta Poster Session 5, Fri, Dec 11, 10:00 AM–1:00 PM, Hall C1 · Published 2026

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AI panel: 1 of 20 reviewers recommend it
lenient 1/5
medium 0/10
strict 0/5
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Less is More: Fewer Tokens and Blocks Make AIGI Detection Faster and More Generalizable

Haipeng Fang, Yixing Lu, Yu Li, Qiang Sheng and 2 more

Paris Poster Session 3, Thu, Dec 10, 12:30 PM–2:30 PM, Paris Poster Hall · Published 2026

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AI panel: 0 of 20 reviewers recommend it
lenient 0/5
medium 0/10
strict 0/5
67%Highly rated
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Omni-Safety under Cross-Modality Conflict: Vulnerabilities, Dynamic Mechanisms and Efficient Alignment

Kun Wang, Zherui Li, Zhenhong Zhou, Jie Zhang and 7 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: 2 of 20 reviewers recommend it
lenient 1/5
medium 1/10
strict 0/5
57%Worth a look
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Verigrad: Verification-Driven Multi-Agent GPU Kernel Generation for High-Order MLIP Derivatives

yao liu, Yuanchang Zhou, Hongtao Xu, Mingzhen Li

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

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AI panel: 1 of 20 reviewers recommend it
lenient 1/5
medium 0/10
strict 0/5
45%Niche pick
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Generative Object Detection with Co-Training

Yang Liu, Yao Zhang, Feng Hou, Yangzhou Du and 5 more

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

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AI panel: 0 of 20 reviewers recommend it
lenient 0/5
medium 0/10
strict 0/5
72%Highly rated
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Component-Based Out-of-Distribution Detection

Component-Based OOD Detection decomposes inputs into functional components via Component Shift Score and Compositional Consistency Score, improving coarse- and fine-grained out-of-distribution detection without training.

Wenrui Liu, Hong Chang, RuiBing Hou, Shiguang Shan

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

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8/20 AI panelreviewers recommend it

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AI panel: 8 of 20 reviewers recommend it
lenient 4/5
medium 4/10
strict 0/5
74%Highly rated
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AnyMo: Scaling Any-Modality Conditional Motion Generation with Masked Modeling

AnyMo introduces OmniHuMo dataset with 5,000 hours of multimodal motion data and proposes a masked modeling framework for scalable any-modality conditional motion synthesis with flexible spatial and stylistic control.

Yiheng Li, Zhuo Li, RuiBing Hou, Yingjie Chen and 3 more

Sydney Poster Session 5, Thu, Dec 10, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026 · ▲ 2 on Hugging Face

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AI panel: 9 of 20 reviewers recommend it
lenient 5/5
medium 3/10
strict 1/5
74%Highly rated
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CaC: Advancing Video Reward Models via Hierarchical Spatiotemporal Concentrating

CaC advances video reward models via hierarchical spatiotemporal concentrating, improving fine-grained anomaly accuracy by 25.7% and reducing generated-video anomalies by 11.7%.

Jiyuan Wang, Huan Ouyang, Chunyu Lin, Dewen Fan and 14 more

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

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AI panel: 9 of 20 reviewers recommend it
lenient 4/5
medium 4/10
strict 1/5
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