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Showing papers from Pengcheng Laboratory Show all papers

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NeurIPS 2026Tsinghua Shenzhen International ShandongTsinghuaHarbin Institute of Technology, Pengcheng LaboratoryDiffusion models

From Generation to Restoration: Residual Diffusion for Neural Channel Decoding

Qinshan Zhang, Shipeng Guo, Xuantai Wu, Bin Chen 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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NeurIPS 2026Harbin Institute of TechnologyHarbin Institute of Technology, Pengcheng LaboratoryPruning & sparsity

TOM-Pruning: Target-aware Output Manifold for LLM Pruning

Junchen Hao, Weikang Meng, Yingjian Li, Zheng Zhang

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

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lenient 1/5
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strict 0/5
57%Worth a look
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NeurIPS 2026TsinghuaKuaishouMeituanPengcheng LaboratoryDiffusion models

Efficient Hybrid Distillation: Synergizing Score and Adversarial Objectives for One-Step Diffusion

Fei Peng, Junqiang Wu, Haoxian Tan, Jun Zhou 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 1/5
medium 0/10
strict 0/5
45%Niche pick
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NeurIPS 2026Southern University of Science aCity University of Hong KongPeng Cheng LaboratoryPengcheng LaboratoryLLM pretraining & scaling laws

Contribution-Aware Structured Sparsity for Model Merging

Yan Li, GUIPING CAO, Meng XU, Tao Jiang 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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67%Highly rated
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NeurIPS 2026Harbin Institute of TechnologyHarbin Institute of Technology, Harbin Institute of TechnologyPengcheng LaboratoryState University of New York at Navigation & SLAM

STEMFly: Enhancing UAV Vision-Language Navigation via Sensor Grounding, Temporal Diversity and Episodic Memory

Guangdao Zhu, Xu Chen, Shuhong Hou, Weili Guan 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: 2 of 20 reviewers recommend it
lenient 2/5
medium 0/10
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57%Worth a look
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NeurIPS 2026SUN YAT-SEN UNIVERSITYHCP - Sun Yat-senPengcheng LaboratoryGuangdong University of TechnoloSun Yat-SenVision-language models

E0: Expressive Fine-Grained Discrete Action Prediction for Vision-Language-Action Models via Tweedie Discrete Diffusion

Zhihao Zhan, Jiaying Zhou, Likui Zhang, Qinhan Lyu and 9 more

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

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lenient 1/5
medium 0/10
strict 0/5
57%Worth a look
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NeurIPS 2026Pengcheng LaboratoryPCLControllable generation

ChiP-STAR: Spatial-Topological Attention for Pre-trained Generative Chip Routing

Junfeng Liu, Xingquan Li

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

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lenient 1/5
medium 0/10
strict 0/5
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NeurIPS 2026SpotlightHarbin Institute of TechnologyHarbin Institute of TechnologyNational University of SingaporeHarbin Institute of Technology, Pengcheng LaboratoryKnowledge editing

Breaking Information Islands in Sparse Tuning via Small-World Connectivity

Xianchao Guan, Zijun Xiong, Yifeng Wang, Yubo Cui 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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NeurIPS 2026Macau University of Science and Macau University of Science and Pengcheng LaboratoryInstitute of automation, ChineseSun Yat-senFlow matching

Bernoulli Flow Models: Self-Consistent Generative Modeling for Binary Data

Hao Mo, Liying Yang, Shumin Yao, Xinxing Yu 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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NeurIPS 2026Peng Cheng LaboratorySouth China University of TechnoSouthern University of Science aPengcheng LaboratoryObject detection

Reviving the Discarded High-Resolution Feature for Transformer-Based Tiny Object Detection

Zehao Wang, Si Wu, GUIPING CAO, Xin Li and 1 more

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

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80%Must read
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NeurIPS 2026SpotlightHCP - Sun Yat-senSUN YAT-SEN UNIVERSITYThe Hong Kong University of SciePengcheng LaboratoryU Technology SydneyMultimodal reasoning

Self-Rewarded Multimodal Coherent Reasoning Across Diverse Visual Domains

SR-MCR aligns multimodal reasoning via intrinsic process rewards and a critic-free GRPO objective, achieving 81.4% average accuracy across visual benchmarks.

jusheng zhang, Ningyuan Liu, Kaitong Cai, Sidi Liu 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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12/20 AI panelreviewers recommend it

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AI panel: 12 of 20 reviewers recommend it
lenient 4/5
medium 8/10
strict 0/5
83%Must read
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NeurIPS 2026SUN YAT-SEN UNIVERSITYSouth China University of TechnoHarbin Institute of TechnologyInstitute of automation, ChineseShanghai JiaotongVision-language-action models

RePO-VLA: Recovery-Driven Policy Optimization for Vision-Language-Action Models

RePO-VLA improves vision-language-action robustness by assigning roles to success, recovery, and failure trajectories, raising adversarial success from 20% to 75%.

Weijia Liufu, Xiaoyu Guo, Ruiyi Chen, Jingzhi Liu and 15 more

Sydney Poster Session 2, Tue, Dec 8, 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 5/5
medium 6/10
strict 2/5
74%Highly rated
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NeurIPS 2026Sun Yat-senSUN YAT-SEN UNIVERSITYPekingPeng Cheng LaboratoryPengcheng Laboratory3D vision & reconstruction

CodecSplat: Ultra-Compact Latent Coding for Feed-Forward 3D Gaussian Splatting

CodecSplat encodes 2D Gaussian-generation features into compact entropy-coded bitstreams to achieve order-of-magnitude smaller feed-forward 3D Gaussian splatting representations at high PSNR with controllable rate-distortion tradeoffs.

Pengpeng Yu, Runqing Jiang, Qi Zhang, Dingquan Li and 2 more

Sydney Poster Session 2, Tue, Dec 8, 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
80%Must read
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NeurIPS 2026AaltoBeijing University of AeronauticPengcheng LaboratoryRobot manipulation

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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AI panel: 12 of 20 reviewers recommend it
lenient 5/5
medium 6/10
strict 1/5
86%Must read
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NeurIPS 2026TsinghuaMicrosoftPengcheng LaboratoryMicrosft Research AsiaU OxfordRL for LLMs

STARE: Surprisal-Guided Token-Level Advantage Reweighting for Policy Entropy Stability

STARE analyzes token-level entropy dynamics under GRPO, identifies a credit assignment mismatch, and uses surprisal-guided advantage reweighting to stabilize policy entropy, improving AIME accuracy by 4-8%.

HAIPENG LUO, Qingfeng Sun, Song-Li Wu, Can Xu and 3 more

Sydney Poster Session 5, Thu, Dec 10, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026 · ▲ 12 on Hugging Face · Code ★ 24

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AI panel: 14 of 20 reviewers recommend it
lenient 2/5
medium 10/10
strict 2/5
74%Highly rated
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NeurIPS 2026TsinghuaWan, Alibaba GroupPengcheng Laboratory3D generation

Velocity-Space 3D Asset Editing

VS3D performs local 3D asset editing inside the ODE sampler via three modules that eliminate identity leakage and amplify edits without masks or training.

Hao Liu, yuxuan lin, jingfeng Guo, Ruihang Chu 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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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
86%Must read
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NeurIPS 2026Harbin Institute of Technology, Harbin Institute of TechnologyThe University of QueenslandHuawei Technologies Ltd.Pengcheng LaboratoryLong-context modeling

STILL: Selecting Tokens for Intra-Layer Hybrid Attention to Linearize LLMs

STILL introduces self-saliency token selection and norm-preserved feature maps to linearize LLMs, matching original performance with up to 86.2% long-context gains.

Weikang Meng, Liangyu Huo, Yadan Luo, Jiawen Guan 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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AI panel: 14 of 20 reviewers recommend it
lenient 4/5
medium 9/10
strict 1/5