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

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NeurIPS 2026SpotlightU Chinese Academy of SciencesU the Chinese Academy of ScienceInstitute of Computing Technolog3D vision & reconstruction

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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NeurIPS 2026Institute of Information EngineeKey Laboratory of Intelligent InChinese Academy of SciencesInstitute of Computing TechnologAlibaba GroupInstruction tuning

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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NeurIPS 2026Institute of Computing Technolog, Chinese Academy of SciencesZhongguancun LaboratoryAI oversight & deception

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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NeurIPS 2026Institute of Computing TechnologThe Institute of Computing TechnThe Institute of Computing TechnICT, Chinese Academy of SciencesSegmentation

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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NeurIPS 2026Institute of Computing TechnologU the Chinese Academy of ScienceChinese Academy of SciencesTool use & function calling

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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NeurIPS 2026Institute of Software, Chinese AInstitute of Software, Chinese AU the Chinese Academy of SciencePekingTsinghuaEfficient inference & serving

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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NeurIPS 2026Beijing University of AeronauticFudanZhejiangInstitute of Computing TechnologKuaishou- 快手科技VQA & captioning

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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NeurIPS 2026Institute of Computing TechnologMeta Platforms, IncAlibaba GroupIndependent ResearcherMicro-IntelligenceMultimodal reasoning

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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NeurIPS 2026Institute of Computing TechnologInstitute of Computing TechnologU the Chinese Academy of ScienceThe Chinese University of Hong KUniversiti Sains MalaysiaInformation retrieval

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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NeurIPS 2026Institute of Computing Technolog, Chinese Academy of SciencesU the Chinese Academy of ScienceMulti-agent RL

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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NeurIPS 2026, Chinese Academy of SciencesInstitute of Computing TechnologU Chinese Academy of ScienceInsititute of Computing TechnoloInstitute of Computing, Chinese Materials & chemistry

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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medium 0/10
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NeurIPS 2026National University of SingaporeBeijing University of AeronauticInstitute of Computing TechnologHasso Plattner InstituteNational Univ. of SingaporeIn-context learning & prompting

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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lenient 2/5
medium 0/10
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NeurIPS 2026Micro-IntelligenceInstitute of Computing TechnologLanzhouU science and technology of ChinSim-to-real

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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NeurIPS 2026Institute of Computing TechnologU the Chinese Academy of ScienceWatermarking & AI-text detection

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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NeurIPS 2026Nanyang TechnologicalInstitute of Computing TechnologBeihangU the Chinese Academy of ScienceFudanAdversarial robustness

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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medium 1/10
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NeurIPS 2026Institute of Computing Technolog, Chinese Academy of SciencesU Chinese Academy of ScienceInsititute of Computing TechnoloPhysics-informed ML & PDEs

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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NeurIPS 2026U the Chinese Academy of ScienceInstitute of Computing TechnologLenovoTsinghua University, TsinghuaLenovo ResearchObject detection

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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NeurIPS 2026Chinese Academy of SciencesInstitute of Computing TechnologObject detection

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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AI panel: 8 of 20 reviewers recommend it
lenient 4/5
medium 4/10
strict 0/5
74%Highly rated
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NeurIPS 2026, Chinese Academy of SciencesTencent AI LabChinese Academy of SciencesAlibaba GroupInstitute of Computing TechnologUnified multimodal models

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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NeurIPS 2026Beijing JiaotongBeijing University of Posts and Beijing jiaotong universityKuaishou- 快手科技National University of SingaporeVideo-language models

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
71%Highly rated
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NeurIPS 2026Institute of Computing TechnologNorthwesternResearch Center Of Distributed SU the Chinese Academy of ScienceInstitute of Computing TechnologGraph generation

GraDE: A Graph Diffusion Estimator for Frequent Subgraph Discovery in Neural Architectures

GraDE uses a graph diffusion estimator to score subgraph typicality and discovers large-scale neural architecture motifs with up to 30x higher median frequency than sampling methods.

Yikang Yang, Zhengxin Yang, Minghao Luo, Luzhou Peng and 4 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: 7 of 20 reviewers recommend it
lenient 3/5
medium 4/10
strict 0/5
76%Highly rated
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NeurIPS 2026State Key Laboratory of ProcessoNanjingU Science and Technology of ChinInstitute of Computing TechnologMegvii Technology Inc.Vision-language-action models

Realtime-VLA FLASH: Speculative Inference Framework for Diffusion-based VLAs

Realtime-VLA FLASH uses a draft model and parallel verification to replace most full diffusion-based VLA inference rounds with faster speculative ones, cutting average latency 3.04x to 19.1 ms.

Jiahui Niu, Kefan Gu, Yucheng Zhao, shengwen Liang and 4 more

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

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AI panel: 10 of 20 reviewers recommend it
lenient 5/5
medium 5/10
strict 0/5
78%Highly rated
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NeurIPS 2026U the Chinese Academy of ScienceInstitute of Computing TechnologChinese Academy of SciencesInstitute of Computing TechnologMeta, transfer & few-shot learning

Dynamical Adapter Fusion: Constructing A Global Adapter for Pre-Trained Model-based Class-Incremental Learning

Dynamical Adapter Fusion derives optimal coefficients via PAC-Bayes and Taylor expansion to fuse task-specific adapters into one global adapter, achieving state-of-the-art class-incremental learning results.

RuiQi Liu, Boyu Diao, Zijia An, Runjie Shao and 4 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: 11 of 20 reviewers recommend it
lenient 4/5
medium 7/10
strict 0/5
89%Must read
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NeurIPS 2026New YorkNewYorkInstitute of Computing TechnologNous ResearchModalTest-time compute

Multi-Token Residual Prediction

Multi-token Residual Prediction predicts next-step residuals via hidden states to denoise more tokens per pass, accelerating diffusion language models up to 1.4x or recovering up to 22.6 accuracy points on HumanEval.

Yufeng Xu, Zishuo Bao, Qian Wang, Zeshen Zhang and 5 more

Atlanta Poster Session 3, Thu, Dec 10, 10:00 AM–1:00 PM, Hall C1 · Published 2026

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AI panel: 16 of 20 reviewers recommend it
lenient 5/5
medium 10/10
strict 1/5
86%Must read
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NeurIPS 2026Institute of Computing TechnologBaidu, Chinese Academy of SciencesXiaohongshuAlibabaLLM agents & planning

Knowledge-Graph Paths as Intermediate Supervision for Self-Evolving Search Agents

Knowledge-graph paths provide intermediate supervision for self-evolving search agents, improving question validity via relational context and solver rewards via waypoint coverage, boosting multi-hop QA across benchmarks.

Huyu Wu, Jun Liu, Xiaochi Wei, Yan Gao 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: 14 of 20 reviewers recommend it
lenient 4/5
medium 9/10
strict 1/5
88%Must read
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NeurIPS 2026OralInstitute of Computing TechnologInstitute of Computing, Chinese Pruning & sparsity

Compact SO(3) Equivariant Atomistic Foundation Models via Structural Pruning

Structural pruning of SO(3) equivariant atomistic models reduces inference cost while outperforming small from-scratch models on accuracy and compute.

Chen Wang, Siyu Hu, Guangming Tan, Weile Jia

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

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AI panel: 15 of 20 reviewers recommend it
lenient 5/5
medium 8/10
strict 2/5