Yang, Shu

24 publications

AAAI 2025 ABQ-LLM: Arbitrary-Bit Quantized Inference Acceleration for Large Language Models Chao Zeng, Songwei Liu, Yusheng Xie, Hong Liu, Xiaojian Wang, Miao Wei, Shu Yang, Fangmin Chen, Xing Mei

NeurIPS 2025 Abstain Mask Retain Core: Time Series Prediction by Adaptive Masking Loss with Representation Consistency Renzhao Liang, Sizhe Xu, Chenggang Xie, Jingru Chen, Feiyang Ren, Shu Yang, Takahiro Yabe

ICML 2025 Doubly Protected Estimation for Survival Outcomes Utilizing External Controls for Randomized Clinical Trials Chenyin Gao, Shu Yang, Mingyang Shan, Wenyu Ye, Ilya Lipkovich, Douglas Faries

ICML 2025 Doubly Robust Fusion of Many Treatments for Policy Learning Ke Zhu, Jianing Chu, Ilya Lipkovich, Wenyu Ye, Shu Yang

NeurIPS 2025 EAP-GP: Mitigating Saturation Effect in Gradient-Based Automated Circuit Identification Lin Zhang, Wenshuo Dong, Zhuoran Zhang, Shu Yang, Lijie Hu, Ninghao Liu, Pan Zhou, Di Wang

CVPR 2025 Efficient ANN-Guided Distillation: Aligning Rate-Based Features of Spiking Neural Networks Through Hybrid Block-Wise Replacement Shu Yang, Chengting Yu, Lei Liu, Hanzhi Ma, Aili Wang, Erping Li

ICLR 2025 Efficient Causal Decision Making with One-Sided Feedback Jianing Chu, Shu Yang, Wenbin Lu, Pulak Ghosh

ICML 2025 Efficient Logit-Based Knowledge Distillation of Deep Spiking Neural Networks for Full-Range Timestep Deployment Chengting Yu, Xiaochen Zhao, Lei Liu, Shu Yang, Gaoang Wang, Erping Li, Aili Wang

JMLR 2025 Efficient and Robust Transfer Learning of Optimal Individualized Treatment Regimes with Right-Censored Survival Data Pan Zhao, Julie Josse, Shu Yang

ICML 2025 Enhancing Statistical Validity and Power in Hybrid Controlled Trials: A Randomization Inference Approach with Conformal Selective Borrowing Ke Zhu, Shu Yang, Xiaofei Wang

NeurIPS 2025 Evaluating and Learning Optimal Dynamic Treatment Regimes Under Truncation by Death Sihyung Park, Wenbin Lu, Shu Yang

ECML-PKDD 2025 Stable Vision Concept Transformers for Medical Diagnosis Lijie Hu, Songning Lai, Yuan Hua, Shu Yang, Jingfeng Zhang, Di Wang

CVPR 2025 Temporal Separation with Entropy Regularization for Knowledge Distillation in Spiking Neural Networks Kairong Yu, Chengting Yu, Tianqing Zhang, Xiaochen Zhao, Shu Yang, Hongwei Wang, Qiang Zhang, Qi Xu

NeurIPSW 2024 A Shadow Variable Approach to Causal Decision Making with One-Sided Feedback Jianing Chu, Shu Yang, Wenbin Lu, Pulak Ghosh

ICML 2024 Causal Customer Churn Analysis with Low-Rank Tensor Block Hazard Model Chenyin Gao, Zhiming Zhang, Shu Yang

NeurIPS 2024 DetectRL: Benchmarking LLM-Generated Text Detection in Real-World Scenarios Junchao Wu, Runzhe Zhan, Derek F. Wong, Shu Yang, Xinyi Yang, Yulin Yuan, Lidia S. Chao

UAI 2024 Inference for Optimal Linear Treatment Regimes in Personalized Decision-Making Yuwen Cheng, Shu Yang

AISTATS 2024 Positivity-Free Policy Learning with Observational Data Pan Zhao, Antoine Chambaz, Julie Josse, Shu Yang

NeurIPSW 2024 What Makes Your Model a Low-Empathy or Warmth Person: Exploring the Oringins of Personality in LLMs Shu Yang, Shenzhe Zhu, Liang Liu, Mengdi Li, Lijie Hu, Di Wang

UAI 2023 Enhancing Treatment Effect Estimation: A Model Robust Approach Integrating Randomized Experiments and External Controls Using the Double Penalty Integration Estimator Yuwen Cheng, Lili Wu, Shu Yang

ICML 2023 Multiply Robust Off-Policy Evaluation and Learning Under Truncation by Death Jianing Chu, Shu Yang, Wenbin Lu

CLeaR 2022 Integrative $r$-Learner of Heterogeneous Treatment Effects Combining Experimental and Observational Studies Lili Wu, Shu Yang

ICCV 2021 Learning Motion-Appearance Co-Attention for Zero-Shot Video Object Segmentation Shu Yang, Lu Zhang, Jinqing Qi, Huchuan Lu, Shuo Wang, Xiaoxing Zhang

CVPR 2005 Fisher+Kernel Criterion for Discriminant Analysis Shu Yang, Shuicheng Yan, Dong Xu, Xiaoou Tang, Chao Zhang