Good Papers

Showing papers from Peng Cheng Laboratory Show all papers

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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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lenient 1/5
medium 0/10
strict 0/5
57%Worth a look
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Efficient Collaborative LLM Fine-Tuning over Heterogeneous Mobile Devices via Many Backbones to One Side-Network Tuning

Xingke Yang, Liang Li, Sicong Li, Liwei Guan and 5 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
45%Niche pick
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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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57%Worth a look
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Tikhonov-Stabilized Bezier Representation Forecasting for Training-free Diffusion Acceleration

Lei Zhu, Mujie Lin, Ruochong Zheng, Guangyi Wang 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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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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Skipping Domain Shifts: Domain Memory Retention Enhanced Hyperspectral Single-Source Domain Generalization

Taiqin Chen, Hao Sha, Xiaochen Feng, Chunyu Chen 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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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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OmniMemBench: Towards Scalable Evaluation of Long-Term Omni-Modal Agent Memory

Junhan Shi, Qiyi Wang, Xiongwei Wu, Ming Ma 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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lenient 1/5
medium 0/10
strict 0/5
45%Niche pick
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Quantile Benchmarking Heterogeneous Web Corpora in Open LLM Pretraining

Kairong Luo, Zhenbo Sun, Xinyu Shi, Shengqi Chen and 8 more

Paris Poster Session 1, Wed, Dec 9, 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
45%Niche pick
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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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AI panel: 0 of 20 reviewers recommend it
lenient 0/5
medium 0/10
strict 0/5
78%Highly rated
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MemForest: Efficient Agent Memory Management via EventTree Partitioning and Progressive Merging

MemForest partitions agent memory into event trees and progressively merges redundant nodes to cut storage and retrieval costs while preserving nearly all performance.

JunXi Wang, Jiayi Zhu, Te Sun, Chen Zhang and 8 more

Sydney Poster Session 4, Wed, Dec 9, 5:00 PM–8:00 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 5/5
medium 5/10
strict 1/5
80%Must read
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Instruction Anchor: Dissecting the Mechanistic Dynamics of Modality Arbitration

Instruction tokens structurally anchor modality arbitration via shallow-layer multimodal buffering and deep-layer selective subspace resolution by sparse attention heads, with targeted intervention validating functional specificity.

Yu Zhang, Mufan Xu, Xuefeng Bai, Kehai Chen and 3 more

Sydney Poster Session 5, Thu, Dec 10, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026 · ▲ 7 on Hugging Face

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12/20 AI panelreviewers recommend it

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AI panel: 12 of 20 reviewers recommend it
lenient 5/5
medium 6/10
strict 1/5
74%Highly rated
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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
89%Must read
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GUITAR: Structured Failure Diagnosis of GUI Agents via State Transitions

GUITAR diagnoses GUI agent failures via state transition graphs to reveal 60.4% of failures concentrate in 20% of bottleneck states, improving success rates with targeted guidance.

Shaoqing Zhang, Kehai Chen, Xuefeng Bai, Zhuosheng Zhang 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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16/20 AI panelreviewers recommend it

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AI panel: 16 of 20 reviewers recommend it
lenient 5/5
medium 10/10
strict 1/5