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Showing papers from City University of Hong Kong Show all papers

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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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lenient 1/5
medium 0/10
strict 0/5
67%Highly rated
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The $1/\mathcal{W}$ Law: Context Length is the Dominant Energy Lever in LLM Inference Fleets

Huamin Chen, Xunzhuo Liu, Yuhan Liu, Junchen Jiang and 3 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: 2 of 20 reviewers recommend it
lenient 2/5
medium 0/10
strict 0/5
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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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Small Model Portfolios for Many Deployment Profiles: Submodular Coverage under Bundled Constraints

Ji Cheng

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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Taming CoT Obfuscation in VLMs: From Mechanistic Evidence to Activation-Level Enforcement

Xutao Mao, Jianing Zhu, Jinman Zhao, Tongliang Liu and 3 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: 2 of 20 reviewers recommend it
lenient 1/5
medium 1/10
strict 0/5
57%Worth a look
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Train at the Moving Edge: Rollout-Efficient RL for Large Reasoning Models

Jiahao Wu, Ning Lu, Shengcai Liu, Kun Wang and 5 more

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

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lenient 1/5
medium 0/10
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Permutation Sensitivity in t-SVD-based Multi-view Clustering

Jintian Ji, Yanjun Zhang, He Zhang, Leo Yu Zhang 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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67%Highly rated
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IntentLens: Grounding Underspecified Multimodal Queries for Recommendation via Tool-Augmented Reasoning

xiao chen, Dong Fang, Haitao Li, Qing Li

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

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AI panel: 2 of 20 reviewers recommend it
lenient 2/5
medium 0/10
strict 0/5
57%Worth a look
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RobustPruner: Decoupled Relevance and Uncertainty for Efficient Visual Token Pruning in MLLMs

Hanwei Zhu, Junhan Fu, Xi Zhang, Jiamang 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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lenient 1/5
medium 0/10
strict 0/5
67%Highly rated
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Beyond Stabilization: Dual-EMA Teachers for Global–Local Semantic Learning in Semi-Supervised Medical Image Segmentation

KAIBO LIAO, Yazhou Ren, Song Wu, Kecheng Chen and 2 more

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

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AI panel: 2 of 20 reviewers recommend it
lenient 2/5
medium 0/10
strict 0/5
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Feeling of Knowing in Large Language Models

Zichuan Fu, Xian Wu, Jingtong Gao, Wenlin Zhang 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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AI panel: 0 of 20 reviewers recommend it
lenient 0/5
medium 0/10
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Rethinking Cross-Layer Information Routing in Diffusion Transformer

Chao Xu, Maohua Li, Qirui Li, Yixuan Xu and 8 more

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

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Contribution-Aware Structured Sparsity for Model Merging

Yan Li, GUIPING CAO, Meng XU, Tao Jiang 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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LADDERS: Length-Aware Data Distribution and Existing-Response Speculation for Fast RL Rollout Generation

Shengpeng Yin, Hui-Ling Zhen, Xing Li, Mingxuan Yuan 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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From Ideas to Code: Tree-structured Policy Optimization for Automated Algorithm Design with LLMs

Rui Zhang, Ping Guo, Liyong Lin, Zhichao Lu 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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AI panel: 1 of 20 reviewers recommend it
lenient 1/5
medium 0/10
strict 0/5
67%Highly rated
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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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AI panel: 2 of 20 reviewers recommend it
lenient 1/5
medium 1/10
strict 0/5
57%Worth a look
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Mobility Helps Learning: Unsupervised Model Adaptation for Object Recognition via Movement

Yanan Ma, Yihang Tao, Zhengru Fang, Senkang Hu 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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AI panel: 1 of 20 reviewers recommend it
lenient 1/5
medium 0/10
strict 0/5
69%Highly rated
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Fine-tuning Does Not Reach All: Uneven Safety and Knowledge Dynamics in Language Models

Ziwei Wang, Xinwei Guo, Jiaxin Zhang, Guanhua Chen and 6 more

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

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AI panel: 3 of 20 reviewers recommend it
lenient 1/5
medium 1/10
strict 1/5
67%Highly rated
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FedCAG: Federated Causality-Aware Graph Learning for Multi-Cloud Workload Forecasting

Yongcan Luo, Zhengjie Yang, Jiahao Zheng, Hao Wang 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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AI panel: 2 of 20 reviewers recommend it
lenient 2/5
medium 0/10
strict 0/5
67%Highly rated
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How Data Scales in Agentic Reinforcement Learning: Laws and Synthesis Strategies

Bowei He, Yankai Chen, Xiaokun Zhang, Changjiang Han 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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AI panel: 2 of 20 reviewers recommend it
lenient 1/5
medium 1/10
strict 0/5
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RECAP: Looking Once Is Not Enough for Vision-Language Reasoning

Zhaolu Kang, Tailong Luo, Chenxin Li, Zhenyu Yu and 12 more

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

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Interleaved Latent Thinking and Adaptive Termination for Efficient Reasoning LLMs

Zhao Jin, Rong-Cheng Tu, Wenhao Sun, Qi Guo and 3 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: 1 of 20 reviewers recommend it
lenient 1/5
medium 0/10
strict 0/5
57%Worth a look
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LAPrune: Logits-Aligned Scoring Proxy for KV Pruning via Vector Quantization

Mingyang Yu, Rong-Cheng Tu, Yifu Ding, Hanqing Zhao and 3 more

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

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CoE-Agent: Co-Evolving Patient-Doctor Agents via Interactive Policy Graph Optimization for Clinical Decision Making

Guolin Huang, Wenting Chen, Linlin Shen

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

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lenient 1/5
medium 0/10
strict 0/5
57%Worth a look
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FLoRA-Chef: Making A Good LoRA Recipe in Federated Generalization

Wenwen He, Wenke Huang, Yiyan Qi, He Li and 3 more

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

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Revisiting Autoregressive GCNs for Vehicle Routing Problems

Zhipeng Zhong, Junquan Huang, Yu Huang, Boyuan Zheng and 5 more

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

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45%Niche pick
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XTraj: A Coarse-to-Fine Autoregressive Framework for Transferable Trajectory Generation

wang chao, ZHIQUAN LAI, Xinwei Fang, Yuanshao Zhu and 2 more

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

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Efficient Off-Policy RL for Video Generation via Forward-Consistent Reward Matching

Hongzheng Yang, Mengyang LIU, Haoxuan Wu, Kun Li 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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Neural Spectral Capacity: An Architectural Quantity from Network Specification Alone

CHENYU ZHU, Ruoyu Zhao, Zhichao Lu

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

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Insight-Driven Search: A Framework for Multi-objective Automated Heuristic Design with Large Language Models

Shunyu Yao, Fei Liu, Ji Cheng, Mingxuan Yuan 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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Efficient Decoder Scaling Strategy for Constructive Neural Routing Solvers

Qing Luo, Fu Luo, Ke LI, Zhenkun Wang

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

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Towards Optimism-Pessimism Trade-off in Model-based Offline-to-Online Reinforcement Learning

Guochen Zhou, Yijun Yang, Qiqi Duan, Qing Su 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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lenient 1/5
medium 0/10
strict 0/5
57%Worth a look
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DAPS: Dependency-Aware Premise Selection for LLM Theorem Proving

Zixuan Chen, Wenyuan Jiang, Junling Wang, Mrinmaya Sachan 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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SynGeo: Synergizing Seeing and Proving through Revisable Geometric States

Tianyi Xu, Liu Yang, Wenjun GAO, Junyu Ou and 4 more

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

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Catch-Only-One: Non-Transferable Examples for Model-Specific Authorization

Zihan Wang, Ethan Ma, Zhongkui Ma, Shuofeng Liu and 4 more

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

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57%Worth a look
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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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My Video Stays Mine: Temporally Consistent Universal Adversarial Perturbations against Video Customization

Yuxin Huang, Mingming Gong, Wanyu Wang, Jing Zhang 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: 2 of 20 reviewers recommend it
lenient 2/5
medium 0/10
strict 0/5
67%Highly rated
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From Squeezing to Grounding: Visual Guided DPO for Multimodal Hallucination Mitigation

Wenqi Liu, Hongxin He, Yunxiao Wang, Xuemeng Song and 2 more

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

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AI panel: 2 of 20 reviewers recommend it
lenient 1/5
medium 1/10
strict 0/5
78%Highly rated
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PGID: Progressive Guided Inversion and Denoising for Robust Watermark Detection

PGID defends diffusion watermark detectors against removal and forgery attacks by progressively projecting perturbed latents back to their correct regions via guided inversion-denoising cycles, restoring reliable detection without training.

Minh Quoc Duong, Chun Tong Lei, Chun Pong Lau

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

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AI panel: 11 of 20 reviewers recommend it
lenient 4/5
medium 7/10
strict 0/5
89%Must read
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ReLoop: Structured Modeling and Behavioral Verification for Reliable LLM-Based Optimization

ReLoop combines structured generation and behavioral verification to eliminate silent optimization formulation errors, reaching 100% executable code and improving accuracy across benchmarks.

Junbo Jacob Lian, Yujun Sun, Huiling Chen, Chaoyu Zhang and 2 more

Sydney Poster Session 2, Tue, Dec 8, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026 · ▲ 1 on Hugging Face · Code ★ 118

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AI panel: 16 of 20 reviewers recommend it
lenient 5/5
medium 9/10
strict 2/5
86%Must read
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When Less is More: The LLM Scaling Paradox in Context Compression

Under lossy context compression, larger compressors reduce reconstruction error but increase unfaithfulness via knowledge overwriting and semantic drift, violating scaling laws for faithful preservation.

Ruishan Guo, Yibing Liu, Guoxin Ma, Yan Wang 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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AI panel: 14 of 20 reviewers recommend it
lenient 4/5
medium 7/10
strict 3/5
72%Highly rated
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DisRFM: Polar Riemannian Flow Matching for Structure-Preserving Graph Domain Adaptation

DisRFM embeds graph representations on constant-curvature manifolds with polar flow matching to prevent structural degeneration and optimization instability, outperforming state-of-the-art graph domain adaptation methods.

Yingxu Wang, Xinwang Liu, Siyang Gao, Mengzhu Wang 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: 8 of 20 reviewers recommend it
lenient 2/5
medium 5/10
strict 1/5
76%Highly rated
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PSD: Pushing the Pareto Frontier of Diffusion LLMs via Parallel Speculative Decoding

PSD accelerates diffusion LLM inference via adaptive parallel unmasking and multi-depth speculative drafts with hierarchical verification, achieving up to 5.5x tokens per pass with near-greedy accuracy.

Shengyin Sun, Yiming Li, Renxi Liu, Xinqi 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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AI panel: 10 of 20 reviewers recommend it
lenient 4/5
medium 4/10
strict 2/5
76%Highly rated
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MemDLM: Memory-Enhanced DLM Training

MemDLM augments diffusion language model training via bi-level optimization with parametric memory, improving convergence, long-context representations, and needle retrieval.

Zehua Pei, Hui-Ling Zhen, Weizhe Lin, Sinno Pan and 3 more

Sydney Poster Session 5, Thu, Dec 10, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026 · ▲ 3 on Hugging Face · Code ★ 11

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AI panel: 10 of 20 reviewers recommend it
lenient 4/5
medium 6/10
strict 0/5
72%Highly rated
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Visual Enhanced Depth Scaling for Multimodal Latent Reasoning

Visual replay and routing depth scaling fix visual under-optimization and gradient instability in latent reasoning, achieving state-of-the-art results with faster inference.

Yudong Han, Yong Wang, Zaiquan Yang, Zhen Qu 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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74%Highly rated
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ExpLang: Improved Exploration and Exploitation in LLM Reasoning with On-Policy Thinking Language Selection

ExpLang improves LLM reasoning via on-policy multilingual thinking language selection during RL, outperforming English-only training and extending exploration with diverse language preferences.

Changjiang Gao, Zixian Huang, Kaichen Yang, Jiajun Chen 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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lenient 5/5
medium 4/10
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LiveOption: Evaluating LLM Agents in Structured Option Trading with Nonlinear Payoffs

LiveOption evaluates LLM option-trading agents via structured sequential decision-making with nonlinear payoffs, showing current agents rarely achieve competitive returns.

Haochen Luo, YIFAN LI, An B Minh, Xiaolong Luo and 3 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: 10 of 20 reviewers recommend it
lenient 5/5
medium 4/10
strict 1/5
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Extending Pretrained 10-Second ECG Foundation Models to Longer Horizons

A parameter-efficient plugin extends frozen 10-second ECG foundation models to long, variable-length recordings via compatible long-sequence processing and semantically informed temporal modeling, outperforming sliding-window and pooling baselines.

Wei Tang, Jinpei Han, Kangning Cui, Mattia Carletti 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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lenient 5/5
medium 6/10
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FRUC: Feedforward Dynamic Scene Reconstruction from Uncalibrated Collaborative Driving Views

FRUC enables feedforward, calibration-free dynamic 3D Gaussian reconstruction from uncalibrated multi-vehicle views via an ego-centric occlusion field and residual cross-agent fusion, achieving state-of-the-art rendering quality and efficiency.

Yihang Tao, Yu Guo, Zhengru Fang, Haonan An 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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AI panel: 10 of 20 reviewers recommend it
lenient 3/5
medium 7/10
strict 0/5
72%Highly rated
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Quality-Diversity Optimization as Multi-Objective Optimization

Reformulating quality-diversity optimization as multi-objective optimization with many objectives enables set-based scalarization methods to solve QD problems with theoretical guarantees and competitive performance.

Xi Lin, Ping Guo, Yilu Liu, Bo Xue 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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lenient 5/5
medium 3/10
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ODEWorld: A Continuous Predictive Architecture via Physical-Time Flow

ODEWorld learns continuous latent velocity fields via ODEs to enable arbitrary-resolution world modeling, solving representation collapse and excelling at video generation and robotic control.

Dongxiu Liu, Haoyi Niu, Peng Cheng, Yuan Gao and 4 more

Sydney Poster Session 1, Tue, Dec 8, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026 · ▲ 14 on Hugging Face · Code ★ 62

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Internal Safety Collapse in Frontier Large Language Models

Frontier LLMs suffer Internal Safety Collapse, generating harmful content during benign tasks with 95.3% failure rates and revealing alignment does not eliminate underlying risks.

Oscar W, Xiao Liu, Hanxun Huang, Yige Li and 6 more

Sydney Poster Session 2, Tue, Dec 8, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026 · ▲ 31 on Hugging Face · Code ★ 1,198

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One World, Dual Timeline: Decoupled Spatio-Temporal Gaussian Scene Graph for 4D Cooperative Driving Reconstruction

DUST uses decoupled dual-timeline Gaussian scene graphs for asynchronous vehicle-infrastructure 4D reconstruction, cutting ghosting to boost dynamic-area PSNR by 3.2 dB.

Yulong Chen, Xiaoyun Dong, Haoyu Zhang, Zongxian Yang and 5 more

Paris Poster Session 5, Fri, Dec 11, 11:30 AM–1:30 PM, Paris Poster Hall · Published 2026

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AI panel: 17 of 20 reviewers recommend it
lenient 5/5
medium 9/10
strict 3/5
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Co-optimization for Adaptive Conformal Prediction

CoCP jointly learns interval centers and radii via alternating quantile regression and soft-coverage optimization, yielding shorter, asymptotically length-optimal conformal intervals with finite-sample validity.

Xiaoyi Su, Zhixin Zhou, Rui Luo

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

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lenient 4/5
medium 7/10
strict 2/5
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VEX-Bench: Benchmarking Verification Complexity of LLM-Generated Misinformation

VEX-Bench benchmarks verification complexity of LLM-generated misinformation, showing high-VEX false content costs 3-169x less to create than to verify and risks misallocating scarce screening resources.

Hanxun Huang, Oscar W, Qizhou Wang, Silvia Montaña-Niño and 8 more

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

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Train the Agent, Not the Expert: Learning to Harness Heterogeneous Experts for Multi-Turn Visual Reasoning

VisHarness trains a visual agent to orchestrate heterogeneous experts for multi-turn reasoning, achieving strong results on segmentation, detection, and counting tasks.

Yaowu Fan, Tao Han, Dazhao Du, Jinhua Ma 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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ROCKET: Residual-Oriented Multi-Layer Alignment for Spatially-Aware Vision-Language-Action Models

ROCKET aligns multiple VLA layers to a 3D vision model via residual streams and shared projectors, achieving near-state-of-the-art LIBERO success with about 4% compute.

Guoheng Sun, Tingting Du, Kaixi Feng, Chenxiang Luo and 5 more

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

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Delta-Adapter: Scalable Exemplar-Based Image Editing with Single-Pair Supervision

Delta-Adapter extracts a semantic delta from single image pairs to train exemplar-based editors without paired examples, improving accuracy and generalization.

Jiacheng Chen, Songze Li, Han Fu, Baoquan Zhao and 4 more

Sydney Poster Session 4, Wed, Dec 9, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026 · ▲ 1 on Hugging Face · Code ★ 6

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lenient 4/5
medium 6/10
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The Platonic Defense: Backdoor Defense for Self-Supervised Encoders in the Era of Large Scale Pre-training

Platonic Representation Defense detects and purifies backdoored self-supervised encoder representations via cross-model energy functions without labels or training data. It substantially improves robustness across multiple encoders and over ten attacks in fully black-box settings.

Tuo Chen, Minjing Dong, Benlei Cui, Jian liu 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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AI panel: 13 of 20 reviewers recommend it
lenient 4/5
medium 8/10
strict 1/5
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Language-Assisted Image Clustering Guided by Discriminative Relational Signals and Adaptive Semantic Centers

A language-assisted clustering framework uses cross-modal relational signals and adaptive semantic centers to improve clustering accuracy by 2.6% over state-of-the-art methods.

Jun Ma, Xu Zhang, Zhengxing Jiao, Yaxin Hou 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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lenient 4/5
medium 5/10
strict 1/5
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M$^\star$: Every Task Deserves Its Own Memory Harness

M* evolves task-specific memory programs via reflective code search to outperform fixed-memory agents across diverse benchmarks. Evolved harnesses develop structurally distinct mechanisms per domain, showing specialization beats general-purpose memory.

Wenbo Pan, Shujie LIU, Xiangyang Zhou, Xianlong Wang 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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AI panel: 12 of 20 reviewers recommend it
lenient 5/5
medium 7/10
strict 0/5
72%Highly rated
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On the Limits of Latent Reuse in Diffusion Models

Freezing and reusing source latent spaces in diffusion models under distribution shift causes score errors governed by subspace misalignment and amplified ambient noise, with shared representations needed for reliable generation.

Yifeng Yu, Lu Yu

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

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AI panel: 8 of 20 reviewers recommend it
lenient 3/5
medium 4/10
strict 1/5
72%Highly rated
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FoMEMO: Towards Foundation Models for Expensive Multi-objective Optimization

FoMEMO proposes foundation models for expensive multi-objective optimization that use synthetic pre-training and in-context preference-conditioned posteriors to optimize unknown problems without further training.

Yiming Yao, Fei Liu, Liang Zhao, Xi Lin 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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lenient 4/5
medium 4/10
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Local Guidance, Global Impact: Gaussian-Reshaped Trust Region Unlocks Behavior Transitions

Gaussian trust region reshaping replaces monotonic divergence penalties with bounded non-monotonic constraints, unlocking efficient behavior transitions in non-stationary reinforcement learning.

Bingxu Liu, Jiashun Liu, Johan Obando Ceron, Hao 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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AI panel: 14 of 20 reviewers recommend it
lenient 4/5
medium 9/10
strict 1/5
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OmniTraffic: A Controllable Generation Pipeline and Benchmark for Spatio-Temporal Traffic Reasoning

OmniTraffic introduces a controllable 3D traffic generation pipeline and benchmark with 8M VQA samples for spatio-temporal reasoning, revealing large model gaps and improved real-world performance via simulated fine-tuning.

Maonan Wang, Zhengyan Huang, Kemou Jiang, Yuhang Fu and 12 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: 16 of 20 reviewers recommend it
lenient 5/5
medium 8/10
strict 3/5
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Revealing Epistemic Uncertainty in MLLMs via Causal-Invariant Masking

Causal-Invariant Masking decomposes MLLM uncertainty via semantic divergence to capture epistemic limitations, and Expected Embedding Drift accelerates quantification by nearly 50%.

Haoyang Luo, Linwei Tao, Jie Gui, Xinghao Chen 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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AI panel: 14 of 20 reviewers recommend it
lenient 5/5
medium 9/10
strict 0/5