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Showing papers from Shanxi University Show all papers

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NeurIPS 2026Shanxishanxi universitySchool of Computer and InformatiMulti-agent RL

Adaptive Communication Range for Scalable Cooperative Multi-Agent Reinforcement Learning

Huizhong Song, Wei Wei, Lin Li, Lijun Zhang and 1 more

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

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NeurIPS 2026TianjinMontreal Institute for Learning ShanxiDeep RL

What Kind of Diffusion Models Do We Need in Online Reinforcement Learning?

Zihao Wu, Hongyao Tang, Yi Ma, YAN ZHENG and 2 more

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

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NeurIPS 2026OralShanxi University, School of CoShanxi University School of CompShanxiShanxi universitySemi- & weakly supervised learning

Mitigating Confidence Miscalibration in Open-World Semi-Supervised Learning

Wenqiang Wu, Feng Wang, Jiye Liang, Liang Bai

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

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NeurIPS 2026ShanxiDomain adaptation

Class–Domain Discriminability Guided Representation Enhancement for Domain Generalization

Bin Zheng, Junbiao Cui, Jiao Zhao, Jiye Liang

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

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NeurIPS 2026ShanxiGenomics & single-cell

Dynamic Regulatory Graph Learning for Histology-to-Spatial Transcriptomics

Yikai Luo, Peng Zhang, Heyang Zhao, Hongming Shan 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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NeurIPS 2026U SydneyAdelaideShanghai NormalShanxiUniversity Of Technology SydneyRepresentation & contrastive learning

Resolution-Aware Structural Density Peak Clustering

Jie Yang, Hsiang-Ting Chen, Yan Ma, Xinyan Liang 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 2026ShanxiShanxi universityU ManchesterVision backbones

C-LoRA: Continual Low-Rank Adaptation for Pre-trained Visual Models

Xin Zhang, Liang Bai, Xian Yang

Paris Poster Session 5, Fri, Dec 11, 11:30 AM–1:30 PM, Paris Poster Hall · Published 2026

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NeurIPS 2026ShanxiU ManchesterShanxi universityGraph generation

Mixed-Curvature Geometric Latent Diffusion Model for Graph Generation

Minxue Qi, Xian Yang, Liang Bai

Paris Poster Session 5, Fri, Dec 11, 11:30 AM–1:30 PM, Paris Poster Hall · Published 2026

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NeurIPS 2026TianjinMontreal Institute for Learning ShanxiAlignment & preference optimization

Beyond Correctness: Robustness-Driven Evolutionary Self-Training for Large Language Models

Wei Guo, Hongyao Tang, Yi Ma, Jinyi Liu and 5 more

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

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lenient 1/5
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67%Highly rated
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NeurIPS 2026ShanxiU Technology SydneyXiaomi CorporationU Trento Via Calepina n. 14 - 38Huazhong University of Science aEmbodied agents

Think Densely, Act Sparsely: Latent Expert Cognitive Chains for Vision-Language-Action Autonomous Driving

Jie Wang, Guang Li, Zhijian Huang, Jinlong Li and 4 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: 2 of 20 reviewers recommend it
lenient 2/5
medium 0/10
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NeurIPS 2026TianjinMontreal Institute for Learning ShanxiZhejiangLLM evaluation & benchmarks

Does Your Large Language Model Have An Intuitive Sense of The Difficulty of A Question?

Ruitao Wang, Jinyi Liu, Hongyao Tang, Rong Cheng and 8 more

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

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NeurIPS 2026SpotlightShanxiSoutheastTaiyuan University of science anGraph neural networks

Boosting Graph Contrastive Learning via Manifold-Guided Representation Disentanglement

Zhiqiang Li, Jianqing Liang, Jie Wang, Junbiao Cui 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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lenient 1/5
medium 0/10
strict 0/5
74%Highly rated
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NeurIPS 2026TianjinMontreal Institute for Learning ShanxiAlibaba GroupAlibaba Inc.RL for LLMs

The Mirage of Optimizing Training Policies: Monotonic Inference Policies as the Real Objective for LLM Reinforcement Learning

LLM RL suffers from training-inference policy mismatch; MIPU optimizes monotonic inference policy improvement to stabilize training and boost reasoning performance.

Jing Liang, Hongyao Tang, Yi Ma, Yancheng He and 7 more

Sydney Poster Session 4, Wed, Dec 9, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026 · ▲ 51 on Hugging Face

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9/20 AI panelreviewers recommend it

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AI panel: 9 of 20 reviewers recommend it
lenient 3/5
medium 6/10
strict 0/5
83%Must read
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NeurIPS 2026TianjinNorth University of ChinaTianjin universityImperial College LondonTencent Hunyuan ResearchVision-language-action models

Embodied-R1.5: Evolving Physical Intelligence via Embodied Foundation Models

Embodied-R1.5 is an 8B-parameter embodied foundation model achieving state-of-the-art results on 16 of 24 embodied VLM benchmarks via multi-task balanced RL and a closed-loop planner-grounder-corrector framework.

Yifu Yuan, Yaoting Huang, Xianze Yao, Shuoheng Zhang and 19 more

Sydney Poster Session 1, Tue, Dec 8, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026 · ▲ 59 on Hugging Face · Code ★ 60

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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 6/10
strict 3/5