Yang Xiao (萧扬)

📝 Education

• Ph.D. in Computer Science, University of Tulsa (2024.08 - Present)
• B.S. in Applied Psychology, Nankai University (2020.09 - 2024.06)

📝 Work

• Alchedata.AI
  Remote
  Intern in Agent, Reinforcement Learning, (2026.05 - 2026.08)

  
• Dept. of AI & I, Mayo Clinic
  Rochester, MN, United States.
  Intern in AI4Medicine, (2025.06 - 2025.08)

  

🔥 News

• [2026.05.20] Started internship at Alchedata.AI until August. 20, 2026.
• [2026.01.26] Our papers were accepted by ICLR 2026.
• [2025.10.20] Our paper was accepted by CTAD 2025.
• [2025.09.23] Our paper were accepted by NIPS 2025 RegML Workshop and NIPS 2025 FoRLM Workshop.
• [2025.08.05] Our paper was accepted by CIKM 2025.
• [2025.07.10] Our paper was accepted by ECAI 2025.
• [2025.06.25] Our papers were accepted by ICCV 2025.
• [2025.06.16] Started internship at Mayo Clinic, Rochester, MN until August. 23, 2025.
• [2025.06.09] Our paper was accepted by ICML 2025 CFAgentic Workshop Oral.
• [2025.03.06] Our paper was accepted by ICLR 2025 Bi-Align Workshop.
• [2024.11.29] Our paper was accepted by COLING 2025.
• [2024.11.16] Our paper was accepted by LoG 2024.
• [2024.07.15] Our paper was accepted by CIKM 2024.
• [2024.06.07] Our paper was accepted by ICIP 2024.

📝 Submitted Projects

DPO-shooting Yang Xiao, et al. Submitted

[Efficient AI] RL-enhanced world model inference.

[PDF coming soon] [Code coming soon]

Domain Manifold Unlearning Yang Xiao, et al. Submitted

[Trustworthy AI] Combination unlearning by a non-parametric statistics.

[PDF coming soon] [Code coming soon]

Compressed Video Aggregator Yang Xiao, et al. Submitted

[Efficient AI] A self attention based module to compress the embeddings to sequence prediction of micro video dataset.

[PDF] [Code coming soon]

📝 Selected Publications

LightCache: Memory-Efficient, Training-Free Acceleration for Video Generation Yang Xiao, Gen Li, Kaiyuan Deng, Yushu Wu, Zheng Zhan, Yanzhi Wang, Xiaolong Ma, Bo Hui arXiv Preprint

[Generation] Lightweight diffusion cache for video generation.

[PDF] [Code]

Optimal Transport for Brain-Image Alignment: Unveiling Redundancy and Synergy in Neural Information Processing Yang Xiao, Wang Lu, Jie Ji, Ruimeng Ye, Gen Li, Xiaolong Ma, Bo Hui International Conference on Computer Vision (ICCV), 2025

[Multimodal Learning] Perceiver to align the brain embeddings with image embedding via Optimal Transport Loss.

[PDF] [Code]

The Right to be Forgotten in Pruning: Unveil Machine Unlearning on Sparse Models Yang Xiao, Gen Li, Jie Ji, Ruimeng Ye, Xiaolong Ma, Bo Hui NeurIPS 2025 Workshop (Oral Invitation)

[Trustworthy AI] Exploring the relationship between unlearned data and pruned neurons in artificial neural network.

[PDF] [Code]

Efficient Knowledge Graph Unlearning with Zeroth-order Information Yang Xiao, Ruimeng Ye, Bohan Liu, Xiaolong Ma, Bo Hui ACM International Conference on Information and Knowledge Management (CIKM), 2025

[Efficient and Trustworthy AI] Efficient influence function in graph for machine unlearning via Woodfisher and zeroth optimization.

[PDF] [Code]

Knowledge Graph Unlearning with Schema Yang Xiao, Ruimeng Ye, Bo Hui International Conference on Computational Linguistics (COLING), 2025

[Trustworthy AI] Machine unlearning in graph via Schema.

[PDF] [Code]

Advancing Certified Robustness of Explanation via Gradient Quantization Yang Xiao, Zijie Zhang, Yuchen Fang, Da Yan, Yang Zhou, Wei-Shinn Ku, Bo Hui ACM International Conference on Information and Knowledge Management (CIKM), 2024

[Trustworthy AI] Exploring the Robustness Radius of Attribution of Neural Network.

[PDF] [Code]

📝 Publications

Regular Conference Papers

Short Conference Papers

Workshop Papers

Pre-print & Submitted

📊 Statistics

CCF Paper Statistics

🌧️ Rejects (To be better)

There were too many rejections in 2026, so I got too lazy to keep updating this list.