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Showing papers from Beijing University of Post and Telecommunications Show all papers

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NeurIPS 2026Beijing University of Posts and Beijing University of Post and TEfficient attention & state-space models

Mixture-of-Top-$k$ Attention: Efficient Attention as Scalable Fast Weights

Qishuai Wen, Zhiyuan Huang, meng xianghan, Wei He 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
67%Highly rated
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NeurIPS 2026Beijing University of Posts and Tencent MapBeijing University of Post and TTencentVisual grounding

Learning to Synergize Textual and Visual Prompts for Fine-Grained Traffic Element Detection in HD Maps

Xiaoyang Bi, Haowen Guo, Caoshengzhe Xue, Siyuan Li 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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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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NeurIPS 2026Xi'an JiaotongBeijing University of Post and TGraph neural networks

Propagate to Discover: Graph-Structured Propagation for Generalized Category Discovery

yongqi tian, Junyong Liu, Jinkun Ran, Haoyuan He and 1 more

Paris Poster Session 6, Fri, Dec 11, 2:30 PM–4:30 PM, Paris Poster Hall · 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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NeurIPS 2026Beijing University of Post and TBeijing University of Posts and Multi-agent LLM systems

Behavioral Probes for Information Flow in LLM Swarms

Junhui Chen, Yu Zhang, Lantian Li, Dong Wang

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

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AI panel: 0 of 20 reviewers recommend it
lenient 0/5
medium 0/10
strict 0/5
45%Niche pick
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NeurIPS 2026Beijing University of Post and TTsinghuaThe Hong Kong University of ScieBeijing University of Posts and Vision backbones

Patch4Patch: Restoring Structural Connectivity in Patch-based Vision Encoders

Yaqi Zhang, Shuntian Yao, Niantai Qu, Runguo Chen 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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57%Worth a look
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NeurIPS 2026U Science and Technology of ChinBeijing Electronic Science and TFudanBeijing University of Post and TChina Academy of Informaton and AI oversight & deception

Decoupled Safety Control: A Safety-Control Algorithm for Training-Free Safety Guidance

Huilin Zhou, Ruoxi Cheng, Yuhang Wang, Yuming Liu 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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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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NeurIPS 2026Beijing University of Post and TBeijing University of Posts and National University of SingaporeGriffithCSIRO Data61Adversarial robustness

CrossSteer:Cross-Modal Safety Steering for Audio-Language Models

Houde Dong, Weifei Jin, Yuxin Cao, Wei Song 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
57%Worth a look
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NeurIPS 2026Nanyang TechnologicalBeijing University of Post and TMonashBeijing Institute of Computer TeNational University of SingaporeLLM agents & planning

MMGraph-Agent: Agentic Multimodal RAG via Cache-Inspired Multimodal Knowledge HyperGraphs

Haoran Luo, Ziyue Zhu, Shangyang Wu, LINHAO LUO and 7 more

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
74%Highly rated
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NeurIPS 2026Beijing University of Posts and Beijing University of Post and TGraph neural networks

LINC: Decoupling Local Consequence Scoring from Hidden Matching in Constructive Neural Routing

LINC explicitly computes local routing consequences to score actions via shared linear comparison and context modulation, improving neural routing baselines especially at larger scales.

ShaoFeng Qin, Li Wang

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

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9/20 AI panelreviewers recommend it

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AI panel: 9 of 20 reviewers recommend it
lenient 4/5
medium 5/10
strict 0/5
78%Highly rated
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NeurIPS 2026Beijing University of Post and TBeijing University of Posts and Beijing NormalNortheasternNanyang Technological UniversityVision-language-action models

NS-VLA: Towards Neuro-Symbolic Vision-Language-Action Models

NS-VLA introduces neuro-symbolic encoding and hierarchical optimization to improve robotic manipulation generalization and exploration over prior VLA methods.

Ziyue Zhu, Shangyang Wu, Shuai Zhao, Zhao ZhiQiu and 7 more

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

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11/20 AI panelreviewers recommend it

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AI panel: 11 of 20 reviewers recommend it
lenient 4/5
medium 7/10
strict 0/5
70%Highly rated
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NeurIPS 2026Beijing University of Posts and Alibaba GroupKuaishou TechnologyKuaishou- 快手科技FudanRecommender systems

UxSID: Semantic-Aware User Interests Modeling for Ultra-Long Sequence

UxSID captures target-aware preferences via semantic-group shared interest memory and dual-level attention, achieving state-of-the-art results and 0.337% revenue lift.

Hongwei Zhang, qiqiang zhong, Jiangxia Cao, Junfeng Shu and 7 more

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

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5/20 AI panelreviewers recommend it

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AI panel: 5 of 20 reviewers recommend it
lenient 4/5
medium 1/10
strict 0/5
70%Highly rated
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NeurIPS 2026Beijing University of Post and TBeijing University of Posts and Diffusion models

Structure-Semantic Co-optimized Latent Diffusion Model for Fast Visual Anagram Synthesis

S2CO-Anagram applies structure-semantic co-optimization to adversarially distilled latent diffusion for faster, higher-resolution visual anagrams with improved visual harmony and semantic fidelity.

Xiang Gao, Yunpeng Jia

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

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AI panel: 5 of 20 reviewers recommend it
lenient 3/5
medium 2/10
strict 0/5
72%Highly rated
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NeurIPS 2026Shanghai Academy of Artificial IBeijing University of Post and TFlow matching

Flow Perturbation++: Multi-Step Unbiased Jacobian Estimation for High-Dimensional Boltzmann Sampling

Flow Perturbation++ performs multi-step unbiased Jacobian estimation for continuous normalizing flows, reducing variance to improve high-dimensional Boltzmann sampling.

xinpeng peng, Ang Gao

Sydney Poster Session 1, Tue, Dec 8, 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 3/5
medium 5/10
strict 0/5
83%Must read
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NeurIPS 2026PekingHong Kong University of Science Beijing University of Post and TCarnegie MellonSouthern University of Science aDiffusion models

Hierarchical Denoising For Multi-Step Visual Reasoning

HDR integrates hierarchical tree-structured latents into causal video generation to enable coarse-to-fine multi-step visual reasoning with sparse attention, boosting reasoning success by 76% over streaming diffusion while running 54x faster than bidirectional diffusion.

Zezhong Qian, Xiaowei Chi, Chak-Wing Mak, Tianze Zhou and 8 more

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

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13/20 AI panelreviewers recommend it

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AI panel: 13 of 20 reviewers recommend it
lenient 5/5
medium 7/10
strict 1/5
83%Must read
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NeurIPS 2026TsinghuaBeijing University of Post and TTsinghua University, TsinghuaVision-language models

SwiftVLM: Efficient Vision-Language Model Inference via Cross-Layer Token Bypass

SwiftVLM introduces cross-layer token bypass to preserve visual tokens across pruning stages, enabling training-free vision-language model acceleration with superior accuracy-efficiency trade-offs.

Qian, Xinran Yu, Xinan Wang, Danyang Li 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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13/20 AI panelreviewers recommend it

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AI panel: 13 of 20 reviewers recommend it
lenient 4/5
medium 8/10
strict 1/5