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Showing papers from Hong Kong Baptist University Show all papers

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NeurIPS 2026Beijing Normal-Hong Kong BaptistBeijing NormalHong Kong BaptistInstruction tuning

Adaptive Fine-Tuning Scheduler for Multi-Tenant Edge LLM via Convergence-Aware Bandits

Yandi Li, Jianxiong Guo, Yupeng Li, Zhiqing Tang 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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45%Niche pick
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NeurIPS 2026Hong Kong BaptistBeijing NormalCity University of Hong KongHKBU / RIKENLLM pretraining & scaling laws

On the Information Loss of Multi-Token Prediction: Origin and Solution

Tangyu Jiang, Zhanke Zhou, Haodi Wang, Yiu-ming Cheung 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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NeurIPS 2026U Science and Technology of ChinHKBU / RIKENTCL Coporate ResearchThe Hong Kong University of ScieTCL Corporate ResearchRL for LLMs

Reasoning Warm-up: Scaling Label-free RL via Verifiable Surrogate Rewards

Jun Nie, Bo Han, Jiaqi Fan, Yonggang Zhang and 3 more

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

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67%Highly rated
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NeurIPS 2026Hong Kong BaptistMedical imaging

UltraVoxelGS: Voxel-First Feed-Forward Gaussian Splatting for 3D Ultrasound Reconstruction

Yue Wang, Haoxin Chen, Xiaoqing Guo

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

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67%Highly rated
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NeurIPS 2026Hong Kong BaptistMolecules & drug discovery

Confidence-Based Diffusion Sampling with Geometric Readiness Awareness for Accelerated Structure-based Drug Design

Pinzhen Chi, William K. Cheung, Kejing Yin

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

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57%Worth a look
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NeurIPS 2026Hong Kong BaptistBeijing NormalInstitute of automation, ChineseStevens Institute of TechnologyCity University of Hong KongTest-time compute

Not All Low-Confidence Tokens Are Equal: Calibrated Confidence for Efficient Test-Time Reasoning

Tangyu Jiang, Haodi Wang, Yuanbing Zhu, Xiaojiang Du 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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83%Must read
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NeurIPS 2026Beijing JiaotongHong Kong BaptistShanghai JiaotongNanyang TechnologicalVideo-language models

VideoOdyssey: A Benchmark for Ultra-Long-Context and Omni-Modal Video Understanding

VideoOdyssey benchmarks ultra-long video understanding via continuous certificates averaging 16 minutes, revealing MLLM failures in continuous reasoning and omni-modal perception.

He Haichen, Jiayi Zhou, Sifeng SHANG, Yihan Hu and 2 more

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

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AI panel: 13 of 20 reviewers recommend it
lenient 5/5
medium 7/10
strict 1/5
80%Must read
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NeurIPS 2026Hong Kong BaptistHarvardMassachusetts General Hospital aMedical imaging

Uncertainty Estimation for Pretrained Medical Image Registration Models via Transformation Equivariance

An inference-time, model-agnostic method uses transformation equivariance to estimate uncertainty in pretrained registration networks, with maps correlating to errors.

Lin Tian, Xiaoling Hu, Juan Eugenio Iglesias

Sydney Poster Session 2, Tue, Dec 8, 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 7/10
strict 0/5
74%Highly rated
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NeurIPS 2026Hong Kong BaptistMicrosoftHong Kong University of Science The Hong Kong University of ScieHong Kong University of Science Knowledge graphs

NGDB-Zoo: Towards Efficient and Scalable Neural Graph Databases Training

NGDB-Zoo improves neural graph database training via operator-level scheduling and semantic augmentation, achieving 1.8, 6.8x throughput without I/O stalls.

zhongwei xie, Jiaxin Bai, Shujie LIU, Haoyu Huang 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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9/20 AI panelreviewers recommend it

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AI panel: 9 of 20 reviewers recommend it
lenient 2/5
medium 6/10
strict 1/5