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Showing papers from The University of Hong Kong Show all papers

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NeurIPS 2026The University of Hong KongU WaterlooUCSCMetaMassachusetts Institute of TechnUnified multimodal models

Tuna-2: Pixel Embeddings Beat Vision Encoders for Multimodal Understanding and Generation

Tuna-2 replaces vision encoders with patch embeddings for end-to-end pixel-space multimodal understanding and generation, achieving state-of-the-art results that outperform encoder-based designs at scale.

Zhiheng Liu, Weiming Ren, Xiaoke Huang, Shoufa Chen and 11 more

Sydney Poster Session 4, Wed, Dec 9, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026 · ▲ 70 on Hugging Face · Code ★ 756

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NeurIPS 2026Zhejiang University, WestlakeU Science and Technology of ChinTencentCity University of Hong KongThe University of Hong Kong3D generation

MoCA: Mixture-of-Components Attention for Scalable Compositional 3D Generation

Zhiqi Li, Wenhuan Li, Tengfei Wang, Zhenwei Wang 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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NeurIPS 2026The University of Hong KongU BirminghamU SydneyOptimization

Generalization Analysis of Biased Stochastic Gradient Methods for Minimax Problems

Shuang Zeng, Yunwen Lei, Yiming Ying

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

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NeurIPS 2026U Hong KongMMLab@CUHKJD Explore AcademyThe University of Hong KongVisual grounding

Diffusion Fine-Tuning: Iterative Refinement for Advanced Grounding with Diffusion Large Language Models

Zhangyang Qi, Jinsong Li, Jiaqi Wang, Hengshuang Zhao

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

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NeurIPS 2026The University of Hong KongThe Univeristy of HongkongDeep learning theory

Looped Transformers with Layer Normalization Provably Learn the Power Method

Lyumin Wu, Chenyang Zhang, Yuan Cao

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

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NeurIPS 2026Huazhong University of Science aThe University of Hong KongThe Chinese University of Hong KU Hong KongShanghai Artificial IntelligenceVideo-language models

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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NeurIPS 2026PekingHunYuanTencentTEGThe University of Hong KongVideo generation

ReGen: Agentic Video World Modeling with Synergized Reasoning and Generation

Chenguo Lin, Yu Tang, Weiqiao Zheng, Enhua Jiang and 10 more

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

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NeurIPS 2026Shanghai JiaotongTencent YoutuTencent Youtu LabTongjiThe International Digital EconomVisual grounding

HiLoc: A Hierarchical Representation Method for Spatial Localization in Multimodal Large Language Models

Evelyn Zhang, Fufu Yu, Hanjun Li, Aoqi Wu 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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69%Highly rated
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NeurIPS 2026The Chinese University of Hong KBeihangThe Chinese University of Hong KByteDance Inc.TencentJailbreaks & red teaming

Safe, or Simply Incapable? Rethinking Safety Evaluation for Phone-Use Agents

Zhengyang Tang, Yi Zhang, Chenxin Li, Xin Lai and 17 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: 3 of 20 reviewers recommend it
lenient 2/5
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NeurIPS 2026ByteDance, Inc.Institute of automation, ChineseByteDance / TikTokBytedanceInstitute of Automation, ChineseVideo-language models

CineMME: Benchmarking Fine-Grained Perception and Plot Reasoning in Multimodal Large Language Models

Jin Liu, Dawei Du, Yexiang Liu, Sijie Zhu and 6 more

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

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NeurIPS 2026U California, San DiegoThe University of Hong KongUCSDAgent benchmarks & environments

ManiTaskGen: A Comprehensive Task Generator for Benchmarking and Improving Vision-Language Agents on Embodied Decision-Making

Liu Dai, Haina Wang, Weikang Wan, Hao Su

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

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NeurIPS 2026The University of Hong KongU HoustonMeta, transfer & few-shot learning

From Generic to Dedicated: A Novel Optimizer for Online Continual Learning

Yongyi Wu, Zheng Wang, Sen Lin

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

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NeurIPS 2026The Hong Kong University of ScieNanjingTencent AI LabU Science and Technology of ChinTongjiDeep RL

Canopy: Tree-Aware Rollout Scheduling for Agent Reinforcement Learning

Feiyuan Zhang, LI Pengbo, Ziniu Li, Yuhao Jiang 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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67%Highly rated
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NeurIPS 2026The University of Hong KongHong Kong PolytechnicU Hong KongProbing & representation analysis

From Pixels to Concepts: Do Segmentation Models Understand What They Segment?

Shuang Liang, Zeqing Wang, Yuxian LI, Xihui Liu and 1 more

Sydney Poster Session 1, Tue, Dec 8, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026 · Code ★ 5

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lenient 1/5
medium 1/10
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NeurIPS 2026SpotlightBeihangZhejiangThe University of Hong KongTsinghuaXiamenFlow matching

GenRM-Flow: Generators are Process-aware Reward Models in Flow Matching

Siming Fu, Zheming Fu, Ruizhe He, Zeyue Xue 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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67%Highly rated
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NeurIPS 2026City University of Hong KongXidianColumbiaThe University of Hong KongVideo-language models

Diagnosing and Correcting Bias in MLLM for Long Video Understanding

Xusheng Liang, Jianqiao Sun, Hao Zhang, Yulei Niu 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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67%Highly rated
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NeurIPS 2026The University of Hong KongIn-context learning & prompting

One-Layer Transformers Provably Learn In-Context K-Nearest Neighbor Prediction with Chain-of-Thought

Lyumin Wu, Yuan Cao

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

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NeurIPS 2026CUHKHKUTsinghua universityThe University of Hong KongDepartment of Computer Science aRL for LLMs

Fast-RL: Accelerating Reinforcement Learning for LongCoT Reasoning Models

Sitong Wu, Haoru Tan, bin xia, Bei Yu and 2 more

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

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NeurIPS 2026CUHKHKUThe University of Hong KongDepartment of Computer Science aRL for LLMs

Historical Relative Policy Optimization for Bootstrapping LLM Reasoning

Sitong Wu, Haoru Tan, Bei Yu, Xiaojuan Qi 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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NeurIPS 2026SpotlightThe University of Hong KongThe University of TokyoU Hong KongU British ColumbiaLLM agents & planning

RAOP: Step-Level Resource Orchestration for LLM Agents across Edge and Cloud

Jinze Li, Xin Yang, Shuo Yang, Jinfeng Xu 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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