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Showing papers from HKUST Show all papers

45%Niche pick
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Decoupling Action from Egocentric Observation for World Simulation

Yue Ma, Pengjie Song, Xinyu Wang, Yi He 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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AI panel: 0 of 20 reviewers recommend it
lenient 0/5
medium 0/10
strict 0/5
57%Worth a look
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FrameScout: Scouting Query-Relevant Frames for Long Video Understanding

Haonan Hu, Shuhao Chen, Weisen Jiang, Lizhao Gao 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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1/20 AI panelreviewers recommend it

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AI panel: 1 of 20 reviewers recommend it
lenient 1/5
medium 0/10
strict 0/5
45%Niche pick
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Full-Duplex Speech-Motion Model for Dyadic Interaction

Koki Nagano, Hongyu Liu, Wookie Park, Tianye Li 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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AI panel: 0 of 20 reviewers recommend it
lenient 0/5
medium 0/10
strict 0/5
45%Niche pick
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MDMR-Bench: A Multi-Dimensional Benchmark for Multi-Reference Image Generation

Bowen Zheng, Jintao Lin, Chang-Heng Yi, HAORAN YANG and 4 more

Paris Poster Session 6, Fri, Dec 11, 2:30 PM–4:30 PM, Paris Poster Hall · Published 2026

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AI panel: 0 of 20 reviewers recommend it
lenient 0/5
medium 0/10
strict 0/5
45%Niche pick
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SIGMA: A Sigmoid-Gated Sampler for Test-Time Scaling in Diffusion Language Models

Ziwen Zhang, Weiyu Chen, Yuyan Zhou, Yichen Zhu 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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AI panel: 0 of 20 reviewers recommend it
lenient 0/5
medium 0/10
strict 0/5
86%Must read
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EvoCUA: Evolving Computer Use Agents via Learning from Scalable Synthetic Experience

EvoCUA evolves computer-use agents via synthetic experience loops, achieving 56.7% success on OSWorld to set a new open-source state-of-the-art.

Taofeng Xue, Chong Peng, Mianqiu Huang, Linsen Guo and 11 more

Sydney Poster Session 4, Wed, Dec 9, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026 · ▲ 92 on Hugging Face · Code ★ 352

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14/20 AI panelreviewers recommend it

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AI panel: 14 of 20 reviewers recommend it
lenient 4/5
medium 9/10
strict 1/5
83%Must read
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Attention-Based Sampler for Diffusion Language Models

Attention-based sampling orders diffusion language model tokens by attention-matrix column sums to maximize likelihood and improve generation quality with greater parallelism.

Yuyan Zhou, Kai Syun Hou, Weiyu Chen, James Kwok

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

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13/20 AI panelreviewers recommend it

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AI panel: 13 of 20 reviewers recommend it
lenient 4/5
medium 8/10
strict 1/5
83%Must read
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Real2Sim in HOI: Toward Physically Plausible HOI Reconstruction from Monocular Videos

HA-HOI reconstructs physically plausible 4D human-object interactions from monocular video by anchoring object motion to human action and refining via physics simulation. It improves alignment, contact consistency, and simulation readiness over prior monocular reconstruction methods.

Yubo ZHAO, Yujin Chai, Yunao Dong, Chengfeng Zhao 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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13/20 AI panelreviewers recommend it

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AI panel: 13 of 20 reviewers recommend it
lenient 5/5
medium 8/10
strict 0/5
88%Must read
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PEARL: Solver-in-the-Loop Interactive Optimization Modeling from Natural Language

PEARL integrates solvers into an interactive optimization modeling loop to iteratively revise formulations using execution feedback, substantially boosting verified solve rates and enabling a small model to outperform a much larger baseline.

Hongliang Lu, Zhong Li, Yuxuan Chen, Lan Yuan 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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15/20 AI panelreviewers recommend it

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AI panel: 15 of 20 reviewers recommend it
lenient 5/5
medium 8/10
strict 2/5
74%Highly rated
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AHPA: Adaptive Hierarchical Prior Alignment for Diffusion Transformers

AHPA adaptively selects hierarchical VAE feature priors via a timestep-conditioned router to match diffusion transformer alignment granularity to denoising needs, improving convergence without inference overhead.

Ruibin Min, Yexin Liu, Aimin PAN, Changsheng Lu 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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9/20 AI panelreviewers recommend it

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AI panel: 9 of 20 reviewers recommend it
lenient 3/5
medium 6/10
strict 0/5
76%Highly rated
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Beyond Domains: Reusing Web Skills via Transferable Interaction Patterns

SkillMigrator learns reusable web skills via transferable interaction patterns matched by layout similarity to reduce LLM actions 8-10% across WebArena and Mind2Web.

Shiqi He, Yue Cui, Feijie Wu, Xinyu Ma and 4 more

Atlanta Poster Session 1, Wed, Dec 9, 10:00 AM–1:00 PM, Hall C1 · Published 2026

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10/20 AI panelreviewers recommend it

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AI panel: 10 of 20 reviewers recommend it
lenient 4/5
medium 5/10
strict 1/5
72%Highly rated
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Tango3D: Towards Alignment for Global and Local 2D-3D Correspondence

Tango3D unifies global retrieval and dense pixel-to-point correspondence via shared 2D-3D alignment with progressive training.

Zebin He, Mingxin Yang, Shuhui Yang, Hanxiao Sun 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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8/20 AI panelreviewers recommend it

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AI panel: 8 of 20 reviewers recommend it
lenient 4/5
medium 4/10
strict 0/5
76%Highly rated
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Baton: Explicit Semantic Blueprints for Joint Video-Audio Generation

Baton introduces explicit semantic blueprints via a multimodal planner and relative positional encoding for synchronized joint video-audio generation.

Shuyuan Tu, Qi Tian, Zihan Yang, Yue Wu 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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10/20 AI panelreviewers recommend it

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AI panel: 10 of 20 reviewers recommend it
lenient 4/5
medium 6/10
strict 0/5
80%Must read
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PRECISE: SDE-Consistent Stochastic Sampling for RL Post-Training of Flow-Matching Models

PRECISE introduces an SDE-consistent stochastic sampler balancing exploration and stability for RL post-training of flow-matching models, enabling faster, more stable reward optimization with significantly reduced training time.

Bo Peng, Tao Huang, Weijie Kong, Junzhe Li and 6 more

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

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12/20 AI panelreviewers recommend it

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AI panel: 12 of 20 reviewers recommend it
lenient 3/5
medium 8/10
strict 1/5
78%Highly rated
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Tackling the Data-Parallel Load Balancing Bottleneck in LLM Serving: Practical Online Routing at Scale

BalanceRoute uses online F-score routing to cut DP load imbalance and boost LLM serving throughput at scale.

Tianci Bu, Yuan Lyu, Zixi Chen, Chendong Song and 5 more

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

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11/20 AI panelreviewers recommend it

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AI panel: 11 of 20 reviewers recommend it
lenient 5/5
medium 6/10
strict 0/5