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Showing papers from Hangzhou Dianzi University Show all papers

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NeurIPS 2026Beijing Institute of TechnologyTohokuHangzhou DianziRemote sensing

Manifold Prior Guided Deep Unfolding for Hyperspectral Image Reconstruction

Shuqi Liu, Yingkai Zhang, Lin Gu, Tao Zhang 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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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 2026ZhejiangFuzhouHangzhou DianziBeijing University of Post and TCollege of Computer Science and Time series forecasting

OrangeTree: A Linear and Tree-based Time Series Forecasting Model Supporting Multiple Input and Output Lengths

Yiqi Tang, Zhichen Lai, Yuxuan Yang, Dalin 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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AI panel: 0 of 20 reviewers recommend it
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57%Worth a look
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NeurIPS 2026Hangzhou DianziNanyang TechnologicalInstitute of automation, ChineseTianjin NormalAlignment & preference optimization

META-PAP: Meta-learning for Prompt-aware Preference Pairing in LLM Alignment

Pinlong Zhao, Shiyu Hu, Jing Zhang, Mengyang Li

Sydney Poster Session 4, Wed, Dec 9, 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 2026Tianjin NormalHangzhou DianziMachine unlearning

CLUE: Closing the Loop on Conflict and Collapse in LLM Unlearning

Mengyang Li, Jingwen Wang, Yu Zhang, Pinlong Zhao

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
69%Highly rated
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NeurIPS 2026Hangzhou DianziPekingNortheasternNational University of SingaporeMachine unlearning

METAFORGET: Audit-Driven Update-Policy Learning for Reliable Language Model Unlearning

Pinlong Zhao, Xiaoling Zhou, Zhou Zhaoting, Guangyuan Dong

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

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3/20 AI panelreviewers recommend it

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AI panel: 3 of 20 reviewers recommend it
lenient 2/5
medium 1/10
strict 0/5
57%Worth a look
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NeurIPS 2026Hangzhou DianziZhejiangMachine unlearning

Revisiting Gradient Ascent: Machine Unlearning from a Geometric Perspective for Source-Free Scenarios

Yufeng Cao, Naen Xu, Xuyang Teng, Tianyu Du 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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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 2026ZhejiangHangzhou DianziGuangdong OPPO Mobile TelecommunOPPO Research Institute Instruction tuning

HALO: Heterogeneous-Aware LoRA Optimization via Rank Allocation and Client-Aware Projection

XiaoHua Feng, Yuyuan Li, Jiayuan Fang, Fengyuan Yu and 5 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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NeurIPS 2026Hangzhou DianziLLM agents & planning

FEP-Agent: Grounding LLM Agent Self-Evolution in Active Inference with Semantic Memory

Minghao Chen, Xinyi Hu, Zhou Yu, Yufei Yin

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
69%Highly rated
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NeurIPS 2026Institute of Automation, ChineseJilinTencent YouTu LabHangzhou DianziHuazhong University of Science aWatermarking & AI-text detection

MixForensics: Blend Before You Encode for Generalizable AI-Generated Video Detection

Ruiqi Liu, ZiAn Wang, Ruoxin Chen, Xuehai Bai 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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3/20 AI panelreviewers recommend it

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AI panel: 3 of 20 reviewers recommend it
lenient 2/5
medium 1/10
strict 0/5
78%Highly rated
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NeurIPS 2026The University of TokyoHangzhou DianziWerideHefei University of TechnologyRakuten GroupImage restoration

FluxFlow: Conservative Flow-Matching for Astronomical Image Super-Resolution

FluxFlow uses conservative flow matching with observation uncertainty and Wiener-regularized correction for ground-to-space astronomical super-resolution, outperforming baselines on real DESI-HST pairs.

Shuhong Liu, Xining Ge, quanfeng xu, Ziteng Cui and 8 more

Sydney Poster Session 6, Thu, Dec 10, 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
86%Must read
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NeurIPS 2026PekingU LiverpoolImperial College LondonHangzhou DianziInsta360Video-language models

BusterX: MLLM-Powered AI-Generated Video Forgery Detection and Explanation

BusterX introduces GenBuster-200K, GenBuster-Bench, and an MLLM baseline that detects AI-generated video via reasoning chains, outperforming leading models in accuracy and explanation quality.

Haiquan Wen, Yiwei He, Zhenglin Huang, Tianxiao Li and 6 more

Sydney Poster Session 2, Tue, Dec 8, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026 · Code ★ 51

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14/20 AI panelreviewers recommend it

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AI panel: 14 of 20 reviewers recommend it
lenient 5/5
medium 7/10
strict 2/5