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Showing papers from The University of Hong Kong Show all papers

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NeurIPS 2026The University of Hong Kong U Waterloo UCSC Meta Massachusetts Institute of Techn Unified 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, Westlake U Science and Technology of Chin Tencent City University of Hong Kong The University of Hong Kong 3D 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 Kong U Birmingham U Sydney Optimization

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 Kong MMLab@CUHK JD Explore Academy The University of Hong Kong Visual 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 Kong The Univeristy of Hongkong Deep 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 a The University of Hong Kong The Chinese University of Hong K U Hong Kong Shanghai Artificial Intelligence Video-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 2026Peking HunYuan Tencent TEG The University of Hong Kong Video 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 Jiaotong Tencent Youtu Tencent Youtu Lab Tongji The International Digital Econom Visual 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 K Beihang The Chinese University of Hong K ByteDance Inc.Tencent Jailbreaks & 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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NeurIPS 2026ByteDance, Inc.Institute of automation, Chinese ByteDance / TikTok Bytedance Institute of Automation, Chinese Video-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 Diego The University of Hong Kong UCSD Agent 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 Kong U Houston Meta, 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 Scie Nanjing Tencent AI Lab U Science and Technology of Chin Tongji Deep 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 Kong Hong Kong Polytechnic U Hong Kong Probing & 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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NeurIPS 2026SpotlightBeihang Zhejiang The University of Hong Kong Tsinghua Xiamen Flow 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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NeurIPS 2026City University of Hong Kong Xidian Columbia The University of Hong Kong Video-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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NeurIPS 2026The University of Hong Kong In-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 2026CUHK HKU Tsinghua university The University of Hong Kong Department of Computer Science a RL 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 2026CUHK HKU The University of Hong Kong Department of Computer Science a RL 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 Kong The University of Tokyo U Hong Kong U British Columbia LLM 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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NeurIPS 2026Zhejiang Bytedance The University of Hong Kong 3D vision & reconstruction

Beyond Spatial and Temporal Priors: A Generalizable Approach for Dense Correspondence Matching

Luping Liu, Bingyi Kang, Yifan Wang, Dong Xu

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

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NeurIPS 2026Origin AI Origin Wireless Origin Research Origin Research Origin Wireless AI Time series foundation models

AmbientFM: A Foundation Model for Ambient Sensing

Guozhen Zhu, Yuqian Hu, Sakila S Jayaweera, Wei-Hsiang Wang and 5 more

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

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NeurIPS 2026Nanyang Technological The University of Hong Kong Meituan U Science and Technology Beijing Southeast Unified multimodal models

LEAF: Language-EEG Aligned Foundation Model for Brain-Computer Interfaces

Muyun Jiang, Shuailei Zhang, Zhenjie Yang, Wu Mengjun and 9 more

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 Kong U Hong Kong Tencent 3D generation

Seeing Both the Forest and the Trees: Reusing Holistic 3D Priors for Part-Decomposed Generation

Yiqun Zhao, Binbin Huang, Haobin Duan, Zibo Zhao 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 2026U Hong Kong The University of Hong Kong Tencent UC Berkeley 3D generation

Generative Structure from Motion with Native 3D Diffusion

Haobin Duan, Binbin Huang, Mochu Xiang, Yiqun Zhao 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 2026The University of Hong Kong U Hong Kong Deep RL

Multi-Stage Planning from Single-Stage Data: Reinforcement Learning Helps Composition but Requires Anchoring

Boyuan Zheng, Zidong Liu, Yingyu Liang

Atlanta Poster Session 2, Wed, Dec 9, 4:30 PM–7:30 PM, Hall C1 · Published 2026

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NeurIPS 2026Chinese University of Hong Kong the University of Hong Kong, Uni The University of Hong Kong Department of Computer Science a Alignment & preference optimization

Bias-Variance Optimized Preference Optimization for Large Reasoning Models

Mingkang Zhu, Xi Chen, Bei Yu, Hengshuang Zhao 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 2026Universidad Rey Juan Carlos Roblox The University of Hong Kong Snap Inc.Universidad Rey Juan Carlos. VAT Video generation

Coarse-to-Real: Generative Rendering for Populated Dynamic Scenes

C2R generates realistic, temporally consistent urban crowd videos from coarse 3D simulations via a neural renderer guided by text and a synthetic-real domain-hedging strategy.

Gonzalo Gomez-Nogales, Yicong Hong, Chongjian GE, Peiye Zhuang 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 2026Tsinghua Shenzhen International Tsinghua University, Tsinghua Tsinghua Harbin Institute of Technology The University of Hong Kong Pruning & sparsity

EventPrune: Cascaded Event-Assisted Token Pruning for Efficient First-Person Dynamic Spatial Reasoning

Event Cascade Pruning uses event-camera motion cues to prune video tokens in first-person spatial reasoning, improving accuracy by 1.31 points with 80% fewer tokens and 1.89x speedup.

Pengtao Ma, Ziliang Zhou, Ciyu Ruan, Haoyang Wang 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 2026Johns Hopkins California Institute of Technolo Northeastern The University of Hong Kong JHU LLM agents & planning

How to Interpret Agent Behavior

ACT*ONOMY introduces a three-level taxonomy of 10 actions and 46 subactions for describing autonomous agent behavior at runtime, plus an open repository and automated analysis pipeline that compares behavioral profiles and surfaces failure patterns.

Sophia Gao, Kaiser Sun, Jen-Tse Huang, Katherine Van Koevering and 7 more

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

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NeurIPS 2026The University of Hong Kong Immunocan Biotech Peking International Digital Economy Ac International Digital Economy Ac Molecules & drug discovery

Pushing Biomolecular Utility-Diversity Frontiers with Supergroup Relative Policy Optimization

SGRPO directly rewards set-level diversity via leave-one-out contributions in a flexible GRPO framework, expanding the utility-diversity Pareto frontier across biomolecular design tasks.

Xinwu Ye, He CAO, Li Hao, Bin Feng and 4 more

Sydney Poster Session 3, Wed, Dec 9, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026 · ▲ 1 on Hugging Face · Code ★ 3

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NeurIPS 2026U Hong Kong Southern University of Science a Huazhong University of Science a U Michigan - Ann Arbor Shenzhen Institutes of Advanced Navigation & SLAM

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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NeurIPS 2026The University of Hong Kong Fudan Shanghai Jiao Tong Shanghai Jiaotong Tsinghua Robot manipulation

HandEdit: A Unified Benchmark for Egocentric Human-to-Robot Dexterous Hand Image Editing

HandEdit provides a 200M-instance benchmark and dataset for transforming egocentric human hands into diverse dexterous robot embodiments via image editing. It evaluates 11 baselines across hand-only and hand-arm tracks with embodiment-aware metrics.

Zhenjie Yang, Xingyu Jiao, Guopeng Zhong, Shuzhe Yang and 17 more

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

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NeurIPS 2026The University of Hong Kong The Chinese University of Hong K Wuhan Huazhong University of Science a Diffusion models

EO-WM: A Physically Informed World Model for Probabilistic Earth Observation Forecasting

EO-WM is a diffusion transformer that forecasts satellite imagery via physically structured weather conditioning and improves vegetation-decline prediction accuracy by up to 7.8% on new diagnostic benchmarks.

Junwei Luo, Shuai Yuan, Zhenya YANG, Yansheng Li and 2 more

Sydney Poster Session 5, Thu, Dec 10, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026 · ▲ 3 on Hugging Face · Code ★ 33

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NeurIPS 2026The University of Hong Kong U Hong Kong RL for LLMs

Overcoming Catastrophic Forgetting in Visual Continual Learning with Reinforcement Fine-Tuning

RaPO reduces visual continual learning forgetting via trajectory-level reward shaping that penalizes policy drift from prior tasks.

Meng Lou, Hanzhong Guo, Linwei Chen, Yizhou Yu

Sydney Poster Session 3, Wed, Dec 9, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026 · ▲ 6 on Hugging Face

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lenient 4/5

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NeurIPS 2026The University of Hong Kong LLM agents & planning

HACO: Hedged Agent Computing for Reliable LLM Systems

HACO treats role requests as reliability-constrained selection over agent instances, adaptively hedging candidates via optimistic ranking plus conservative reliability accumulation to improve robustness at lower cost.

Enhan Li, Hongyang Du

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

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70%Highly rated

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NeurIPS 2026Princeton The University of Hong Kong Northwestern Flow matching

A Theory on Flow Matching with Neural Networks

Flow matching with over-parameterized 2-layer ReLU networks achieves convergence, generalization, and sample-generation Wasserstein guarantees via multi-task representation bounds.

Yihan He, Qishuo Yin, Yuan Cao, Jianqing Fan and 1 more

Atlanta Poster Session 2, Wed, Dec 9, 4:30 PM–7:30 PM, Hall C1 · Published 2026

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NeurIPS 2026U Hong Kong The University of Hong Kong The Chinese University of Hong K The Chinese University of Hong K Agent benchmarks & environments

UniClawBench: A Universal Benchmark for Proactive Agents on Real-World Tasks

UniClawBench introduces a capability-driven benchmark evaluating proactive agents via 400 real-world tasks with live Docker evaluation and multi-turn feedback.

Zhekai Chen, CHENGQI DUAN, Kaiyue Sun, Bohao Li and 3 more

Sydney Poster Session 2, Tue, Dec 8, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026 · ▲ 34 on Hugging Face · Code ★ 39

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NeurIPS 2026The University of Hong Kong U Hong Kong Robot manipulation

Reverse to Advance: Teleoperation-Cost Effective Hard Policy Learning from Reversed Easy Tasks

It proposes reversing easy-task trajectories to train hard-task policies via automated collection, hierarchical refinement, and iterative learning, achieving higher success with less teleoperation.

Qiyuan Qiao, Ge Yuan, Can Wang, Dong Xu

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

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