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Showing papers from University of Illinois, Urbana Champaign Show all papers

45%Niche pick
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GRASP: Learning to Ground Social Reasoning in Multi-Person Non-Verbal Interactions

Junho Kim, Xu Cao, Houze Yang, Bikram Boote 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 0/5
medium 0/10
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67%Highly rated
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Dialect ASR based on Multi-View Pseudo-Parallel Augmentation and Noise-Robust Contrastive Learning

Jianing Zhou, Ziheng Zeng, Hongyu Gong, Suma Bhat

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
45%Niche pick
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Position: Reconciling Open Access with Owner Control in AI Model Distribution Deserves More Research Effort

Zerui Cheng, Edoardo Contente, Benjamin Finch, Oleg Golev and 7 more

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

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AI panel: 0 of 20 reviewers recommend it
lenient 0/5
medium 0/10
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RL-Inf: Tracking Non-local Training Data Influence for Online Reinforcement Learning

Shixuan Liu, Cheng Tang, Yuzheng Hu, Fan Wu and 2 more

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

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AI panel: 0 of 20 reviewers recommend it
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medium 0/10
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Trivialized Generative Models on Lie Groups

Neil He, Meenal Jhajharia, Qianxi Wu, Chaoran Cheng 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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AI panel: 0 of 20 reviewers recommend it
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medium 0/10
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VASR: Variance-Aware Systematic Resampling for Diffusion Models

Shivanshu Shekhar, Sagnik Mukherjee, Jia Y Zhang, Tong Zhang

Atlanta Poster Session 6, Fri, Dec 11, 4:30 PM–7:30 PM, Hall C1 · Published 2026

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lenient 0/5
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57%Worth a look
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Robust Concept Unlearning in Diffusion Models via Directional Stability Regularization

Bo-Han Lai, Hsuan-Tien (Tien) Lin, Chia-Mu Yu, Han Zhao and 1 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: 1 of 20 reviewers recommend it
lenient 1/5
medium 0/10
strict 0/5
80%Must read
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Variable-Length Generative Protein Design via Generalized Poisson Flow

GPFlow learns generalized Poisson process rate functions for variable-length protein generation, improving designability and recovering length distributions without fixed-length constraints.

Chaoran Cheng, Zhanghan Ni, Yanru Qu, Yuxin Chen 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: 12 of 20 reviewers recommend it
lenient 4/5
medium 6/10
strict 2/5
80%Must read
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Smoothed Score Queries and the Complexity of Sampling

Smoothed-score queries access resolvents instead of matrix-vector products, cutting Gaussian sampling queries from polynomial to logarithmic in condition number. Finite-bit schemes use polylogarithmic communicated gradient bits, with matching Ω(log κ) lower bounds.

Jingbo Liu

Atlanta Poster Session 3, Thu, Dec 10, 10:00 AM–1:00 PM, Hall C1 · Published 2026

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AI panel: 12 of 20 reviewers recommend it
lenient 2/5
medium 6/10
strict 4/5
80%Must read
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Neural Signals Generate Clinical Notes in the Wild

CELM is the first clinical EEG-to-language foundation model that generates long-duration EEG clinical reports and outperforms existing methods across all settings.

Jathurshan Pradeepkumar, Zheng Chen, Jimeng Sun

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 5/10
strict 2/5
80%Must read
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LESSViT: Robust Hyperspectral Representation Learning under Spectral Configuration Shift

LESSViT enables robust cross-sensor hyperspectral representation via low-rank spatial-spectral attention, channel-agnostic embeddings, and masked pretraining with decoupled masking and hierarchical sampling.

Haozhe Si, Yuxuan Wan, Yuqing Wang, Minh Do and 1 more

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

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AI panel: 12 of 20 reviewers recommend it
lenient 5/5
medium 7/10
strict 0/5