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

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StreamPI: Streaming Multimodal Temporal Modeling for Vision-Language-Action Models

Zhe Liu, Jinghua Hou, Yuxiang Lu, Zhenya YANG and 6 more

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

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MemTailor: Hierarchical Memory-Augmented Multi-Expert Learning for Long-Tailed Recognition

Yuyang Sun, Senyang Su, Xiaotian Wang, Pengkun Wang 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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NORMA: Norm-Guided Explanation Subgraph Discovery

Xiangyu Fu, Wei Liu, Jun Wang, Yang Qiu 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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HyperSkill: Multi-Modal Skill Learning on the Unit Hypersphere

Erdemt Bao, JunChen, Weijun Qin, Shaopeng Li 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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Grounding 3D Affordance from Human-Object-Interaction Videos via Multimodal Large Language Model

Hanqing Wang, Mingyu Liu, Xiaoyu Chen, Chengwei MA 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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Object Hallucination Mitigation in Large Vision-Language Models via Self-Vision Dual Masking and Uncertainty-Triggered Assembly

Ziji Sheng, Guiyao Tie, Weidong Wang, Jiawen Shi and 7 more

Sydney Poster Session 1, Tue, Dec 8, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026

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Mitigating Compounding Errors in Online Reinforcement Learning via Optimal Transport Regularized Flow Matching

Boxiang Tao, Lei Guo, Bin Wang, Zexin Wang and 1 more

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

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Cross-Model Transfer Attacks against Large Vision-Language Models via Model Diversity Enrichment and Stochastic Parameter Sampling

Zhenze Yang, Xiaowen Cai, Junhao Dong, Guangke Chen and 7 more

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

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MMLongCite: A Benchmark for Evaluating Faithfulness of Long-Context Vision-Language Models

Keyan Zhou, Zecheng Tang, Lingfeng Ming, Qiguang Chen 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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SEEK-VAU: Towards Evidence-Faithful Video Anomaly Understanding via Agentic Search

MINGHE WANG, Weijun Zeng, Dapeng Luo, Xinyue Wang and 1 more

Sydney Poster Session 1, Tue, Dec 8, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026

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PreCoMem: Predictive Cognitive Memory for Self-Evolving Long-Term Dialogue Agents

Jian Zhong, Zeyu Liu, Pingchuan Cao, Rongduo Han and 7 more

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

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Z-Cache: Accelerating Diffusion Transformers via Self-Reflection

Zegang Cheng, Zhikai Wang, Jiacheng Liu, Xiaobing Tu and 7 more

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

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MetaPI: Constructing Prompt Injection Benchmarks from Any Agent Benchmarks

Peiran Wang, Chong Xiang, Wenjie Qu, Ying Li and 3 more

Atlanta Poster Session 3, Thu, Dec 10, 10:00 AM–1:00 PM, Hall C1 · Published 2026

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SeaPilot: Mobile Agent with Self-refining Environment Alignment

Zhigang Zuo, Senyao Li, Yufeng Jiang, Haozhao 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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FedProG: Federated Graph Learning via Server-Side LLM Semantic Bridging and Uncertainty-Aware Distillation

Haitao Wang, Haozhao Wang, Wenchao Xu, Yichen Li and 4 more

Paris Poster Session 3, Thu, Dec 10, 12:30 PM–2:30 PM, Paris Poster Hall · Published 2026

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Who Should Evolve? Uncertainty-Aware Role Bottleneck Inference for Multi-Agent LLM Training

Qiyu Qin, Yichen Li, Haozhao Wang, Tianzhe Xiao 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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Personalized Safety in Federated Fine-Tuning of Large Language Models

Tianzhe Xiao, Gaozhuo Liu, Yichen Li, Haozhao Wang and 3 more

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

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FedTrace: Generated-Content-Based Watermark Verification for Traitor Tracing in Federated Learning

Tianzhe Xiao, Haozhao Wang, Yichen Li, Qiyu Qin and 2 more

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

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When the Most Disruptive Messages Are Safe to Prune in Aggregate: Functional Analysis of Communication Pruning in Two-Agent LLM Systems

Zhen Sun, Xueyang Zhou, Yongchao Chen

Sydney Poster Session 1, Tue, Dec 8, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026

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Budget-Conditioned Clipping Policies for Differentially Private Federated Learning

Hao Zhou, SiQi Cai, Hua Dai, Letian Sha 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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NeuroMem: A Neuroplastic Memory Framework for Lifelong Agents through Delayed Consolidation

Yingyi Cheng, Xueqiang Han, Chen Yu

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

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The Cost of Mismatch: Noise Amplification in Zeroth-Order Reinforcement Learning

Lianmin Chen, Junbin Qiu, Chenxing Wei, Yao SHU 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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From Finding to Linking: Benchmarking and Advancing Cross-Long-Video Reasoning for Multimodal LLMs

Meng Luo, Zikang Zhou, Shanqing Xu, Shize Zhang 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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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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lenient 2/5
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MIRROR: Manifold Ideal Reference ReconstructOR for AI-Generated Image Detection

Ruiqi Liu, Manni Cui, Ziheng Qin, Zhiyuan Yan and 10 more

Atlanta Poster Session 3, Thu, Dec 10, 10:00 AM–1:00 PM, Hall C1 · Published 2026

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KuaiRecV2: Benchmarking Large-Scale Continual Learning for Diversified and Multi-task Recommendation

Chenxu Li, Shuchang Liu, Hantao Shu, Wei Yuan and 14 more

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

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Reinforcement learning enhanced flow matching for reference-based tumor generation on unpaired CT images

Xiaoxuan Gong, Zhilin Zheng, Tiancheng Lin, Qinji Yu and 8 more

Atlanta Poster Session 4, Thu, Dec 10, 4:30 PM–7:30 PM, Hall C1 · Published 2026

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RaVF: Learning Radar Velocity Fields via Spatial-Doppler Guidance

SHENGPENG WANG, Lingzhen Li, Chunshen Li, Fei Xiao and 1 more

Sydney Poster Session 1, Tue, Dec 8, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026

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Rethinking Contrastive Loss in CLIP Post-training: A Complementary Framework with Frozen Text Encoder

Zidan Wang, Yaqian Li, xiaokai zhang, Kun He 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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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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lenient 2/5
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VERITAS: Veracity-Enhanced Robust Identification of LLM-generated Text Against Style-shifts

Xiaoquan Yi, Haozhao Wang, Yichen Li, Wenchao Xu and 5 more

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

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Heterogeneity-aware Distillation for Federated Continual Learning

Gaozhuo Liu, Yichen Li, Xiuying Wang, Yulong Li and 3 more

Paris Poster Session 1, Wed, Dec 9, 12:30 PM–2:30 PM, Paris Poster Hall · Published 2026

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Rehearsal-Free Statistical Prototype Regularization for Federated Incremental Learning

Xiuying Wang, Yichen Li, Jiahua Cheng, Xiwei Liu and 3 more

Paris Poster Session 3, Thu, Dec 10, 12:30 PM–2:30 PM, Paris Poster Hall · Published 2026

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3R-Adapter: Retrieval, Rewiring, and Refinement for Efficient Adaptation of 3D Reconstruction Model

Zixiang Ai, Zhenyu Cui, Xu Zou, Jiahuan Zhou

Sydney Poster Session 1, Tue, Dec 8, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026

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The Deadline Effect: Identifying and Correcting Temporal Bias in Human Evaluation

Shiyan Liu

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

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Advancing Narrative Long Video Generation via Training-Free Identity-Aware Memory

IAMFlow is a training-free identity-aware memory framework that tracks persistent entities across prompts to generate consistent long narrative videos, achieving best benchmark scores and faster inference.

Jinzhuo Liu, Jiangning Zhang, Wencan Jiang, Yabiao Wang and 4 more

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

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lenient 4/5
medium 7/10
strict 1/5
74%Highly rated
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SRL-MPC: Shape-Aware Reinforcement Learned Model Predictive Control

SRL-MPC integrates reinforcement-learned parameter updates with shape-aware model predictive control via geometric separation features to navigate dense heterogeneous robot crowds safely and adaptively.

Ruihua Han, Rui Gao, Zhe Liu, Xinyi WANG and 5 more

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

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lenient 5/5
medium 4/10
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83%Must read
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Existence Precedes Value: Joint Modeling of Observational Existence and Evolving States in Time Series Forecasting

Timeflies jointly infers whether future observations exist and predicts their values, outperforming methods that assume future observation times are known.

Yifan Hu, Hongzhou Chen, Peiyuan Liu, Yiding Liu 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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AI panel: 13 of 20 reviewers recommend it
lenient 5/5
medium 8/10
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Explaining and Breaking the Safety-Helpfulness Ceiling via Preference Dimensional Expansion

MORA rewrites prompts to expand multi-dimensional reward diversity and breaks the safety-helpfulness trade-off, improving sequential single-preference alignment by up to 12.4% and simultaneous alignment by 4.6%.

ShiYing Huang, Liang Lin, Yuer Li, Kaiwen Luo and 5 more

Sydney Poster Session 1, Tue, Dec 8, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026 · ▲ 2 on Hugging Face

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AI panel: 13 of 20 reviewers recommend it
lenient 4/5
medium 8/10
strict 1/5
80%Must read
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Experience Makes Skillful: Enabling Generalizable Medical Agent Reasoning via Self-Evolving Skill Memory

SkeMex improves medical agents via self-evolving skill memory that distills reusable procedural knowledge, governs retention by utility, and outperforms memory-based agents across clinical tasks.

Haoran Sun, Wenjie Li, Yujie Zhang, Zekai Lin and 7 more

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

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AI panel: 12 of 20 reviewers recommend it
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medium 7/10
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