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Showing papers from Nanjing University of Science and Technology Show all papers

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NeurIPS 2026SpotlightNanjing University of Science anNanjingFlow matching

Toward Semantically-Consistent Tuning-Free Customization for Rectified Flow Transformers

Jian Jin, Kai Zhang, Zhenyong Fu, Jian Yang

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

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NeurIPS 2026SpotlightNanjingKorea Advanced Institute of ScieNanjing University of Science anMax Planck Institute for InformaImage restoration

Noise-Started One-Step Image Super-Resolution via LR-Conditioned SplitMeanFlow and GAN Refinement

Wei Zhu, Kai Zhang, Yu Zheng, Lei Luo 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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NeurIPS 2026Nanjing University of Science anNankaiNanjing University / RIKENNanjingDiffusion models

Beyond Generation: Unlocking Discriminative Representations from Diffusion Models

Haowen Cui, Ge Wu, Shuo Chen, Yikai Ge and 4 more

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

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NeurIPS 2026nanjing universityNanjing universityNanjingU Science and Technology of ChinNanjing University of Science anControllable generation

TopoRefine: Topology-Aware Correspondence and Residual Refinement for Training-Free Subject-Consistent Generation

Zhanxin Gao, Zexin Ti, Chen Zhao, Beier Zhu and 4 more

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

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NeurIPS 2026Nanjing University of Science anNanjingGuangxi NormalNanjing University of Posts and Nanjing University of Science an3D vision & reconstruction

State Evolution Awareness for Category-agnostic 3D Point Cloud Tracking

Xiantao Hu, Ying Tai, Jinxia Xie, Bineng Zhong 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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NeurIPS 2026Nanjing University of Science anNanjing3D generation

Blur Issue Matters for Thermal Novel View Synthesis: A Floating Gaussian Suppression Approach

Mingyuan Xie, Sheng Wan, Jin Xie, Hang Yang 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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NeurIPS 2026Nanjing University of Science anRepresentation & contrastive learning

Memory-Driven Contrastive Embedding Enhancement for Fine-Grained Open-Set Semi-Supervised Learning

Yinan Han, Qing-Yuan Jiang

Paris Poster Session 4, Thu, Dec 10, 5:30 PM–7:30 PM, Paris Poster Hall · Published 2026

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NeurIPS 2026SpotlightNankaiNankai University Nanjing University of Science anNanjingSegmentation

MonoChunk3D: Monocular Online 3D Instance Segmentation with Persistent Instance States

Yibo Zhao, Jingzhi Zhou, Yigong Zhang, Jian Yang 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 2026Sun Yat-sen University & SheSUN YAT-SEN UNIVERSITYThe University of SydneyNanjing University of Science anInformation Technology Service CEfficient & distributed training

Generalization Without Compression Penalty: A Stability Analysis of Error Feedback

Yifei Liang, Peng Wang, Yan Sun, Yingqi Liu 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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NeurIPS 2026Nanjing University of Science anAdversarial robustness

CARVE: Counterfactual Video Editing for Auditing and Hardening Video Detectors

Wei Zhou, YIMING CHEN, Xu Jinwei, Yang zhou and 2 more

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

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57%Worth a look
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NeurIPS 2026Singapore ManagementNanjing University of Posts and Nanyang TechnologicalNanjing University of Science anVisual grounding

QGround: Condition-Wise Evidence Aggregation for 3D Grounding with 2D VLMs

Fengyun Wang, Jian Wang, Dingwei Zhang, Jinhui Tang and 1 more

Paris Poster Session 2, Wed, Dec 9, 5:00 PM–7:00 PM, Paris Poster Hall · Published 2026

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NeurIPS 2026Queen Mary, University of LondonSoutheastU the Bundeswehr MunichQueen Mary University of LondonNanjing University of Science anVideo understanding

ViewSAM: Learning View-aware Semantics for Weakly Supervised Cross-view Referring Multi-Object Tracking

Jiawei Ge, Xintian Zhang, Jiuxin Cao, Bo Liu 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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NeurIPS 2026Nanjing University of Science anAnhui University of TechnologyHong Kong PolytechnicU LuxemburgData61, CSIROHallucination & factuality

Invisible Ink, Visible Lies: How Production Watermarking Causes LLMs to Hallucinate

Haocheng Ye, Aoting Hu, Xinwei Zhang, Xunzhu Tang 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: 2 of 20 reviewers recommend it
lenient 1/5
medium 0/10
strict 1/5
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NeurIPS 2026ShanghaiTechNanjing University of Science an3D vision & reconstruction

Seeing Across Skies and Streets: Feedforward 3D Reconstruction from Satellite, Drone, and Ground Images

Cross3R feeds satellite, drone, and ground images into a single forward pass to recover cross-view 3D point clouds, 6-DoF poses, and ground locations without requiring relative poses. It outperforms dedicated cross-view and feed-forward 3D baselines on CrossGeo and KITTI despite no KITTI training.

Qiwei Wang, Zhongyao Tuo, Xianghui Ze, Yujiao Shi

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

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17/20 AI panelreviewers recommend it

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AI panel: 17 of 20 reviewers recommend it
lenient 5/5
medium 9/10
strict 3/5
80%Must read
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NeurIPS 2026HohaiNanjing University of Science anThe University of ManchesterGuangdong OPPO Mobile TelecommunThe Hong Kong University of ScieLLM agents & planning

A Self-Evolving Framework for Efficient Terminal Agents via Observational Context Compression

TACO is a training-free framework that learns adaptive compression rules from terminal agent trajectories to filter noisy observations, improving accuracy by 1-4% and reducing token usage across benchmarks.

JinCheng Ren, Siwei Wu, Yizhi Li, Zhu and 9 more

Sydney Poster Session 1, Tue, Dec 8, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026 · ▲ 24 on Hugging Face · Code ★ 47

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AI panel: 12 of 20 reviewers recommend it
lenient 5/5
medium 6/10
strict 1/5
80%Must read
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NeurIPS 2026Nanjing University of Science anU Washington, SeattleShanghai JiaotongFudanNanjingModel-based RL

Distill to Think, Foresee to Act: Cognitive-Physical Reinforcement Learning for Autonomous Driving

CoPhy distills vision-language cognition into a BEV encoder and pairs it with an auto-regressive world model for action-conditioned forecasting to enable reinforcement learning with dual physical and cognitive rewards, achieving state-of-the-art autonomous driving results.

Yang Wu, Qiang Meng, Zhaojiang Liu, Youquan Liu 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
71%Highly rated
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ICLR 2026WorkshopThe Hong Kong University of ScieNanjing University of Science anHong Kong University of Science Imperial College LondonAgent memory

MemCoRe: Recovering Evidence from Progressively Compressed Factual Knowledge for Agent Memory

MemCoRe organizes agent memory as a compression hierarchy to recover evidence from progressively compressed factual knowledge, outperforming state-of-the-art memory baselines.

Zhenyuan Zhang, Jia Xianzhang, Zhiqin Yang, Zhenbo Song and 3 more

Sydney Poster Session 6, Thu, Dec 10, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026 · ▲ 7 on Hugging Face

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7/20 AI panelreviewers recommend it

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AI panel: 7 of 20 reviewers recommend it
lenient 5/5
medium 2/10
strict 0/5