Wu, Sai

20 publications

ICLR 2025 Bridging the Semantic Gap Between Text and Table: A Case Study on NL2SQL Lin Long, Xijun Gu, Xinjie Sun, Wentao Ye, Haobo Wang, Sai Wu, Gang Chen, Junbo Zhao

MLJ 2025 CaCOM: Customizing Text-to-Image Diffusion Models in the Wild via Continual Active Selection Jianan Yang, Yanming Zhang, Haobo Wang, Gang Chen, Sai Wu, Junbo Zhao

IJCAI 2025 CycSeq: Leveraging Cyclic Data Generation for Accurate Perturbation Prediction in Single-Cell RNA-Seq Yicheng Liu, Sai Wu, Tianyun Zhang, Chang Yao, Ning Shen

ICCV 2025 Learnable Retrieval Enhanced Visual-Text Alignment and Fusion for Radiology Report Generation Qin Zhou, Guoyan Liang, Xindi Li, Jingyuan Chen, Zhe Wang, Chang Yao, Sai Wu

AAAI 2025 Less Is More: Adaptive Program Repair with Bug Localization and Preference Learning Zhenlong Dai, Bingrui Chen, Zhuoluo Zhao, Xiu Tang, Sai Wu, Chang Yao, Zhipeng Gao, Jingyuan Chen

IJCAI 2025 POLO: An LLM-Powered Project-Level Code Performance Optimization Framework Jiameng Bai, Ruoyi Xu, Sai Wu, Dingyu Yang, Junbo Zhao, Gang Chen

NeurIPS 2025 SALoM: Structure Aware Temporal Graph Networks with Long-Short Memory Updater Hanwen Liu, Longjiao Zhang, Rui Wang, Tongya Zheng, Sai Wu, Chang Yao, Mingli Song

AAAI 2025 Semantic-Guided Masked Mutual Learning for Multi-Modal Brain Tumor Segmentation with Arbitrary Missing Modalities Guoyan Liang, Qin Zhou, Zhe Wang, Jingyuan Chen, Lin Gu, Chang Yao, Sai Wu, Bingcang Huang, Kai Chen

MLJ 2025 Shift Guided Active Learning Jianan Yang, Jimin Tan, Haobo Wang, Gang Chen, Sai Wu, Junbo Zhao

NeurIPS 2024 Enhancing LLM Reasoning via Vision-Augmented Prompting Ziyang Xiao, Dongxiang Zhang, Xiongwei Han, Xiaojin Fu, Wing Yin Yu, Tao Zhong, Sai Wu, Yuan Wang, Jianwei Yin, Gang Chen

NeurIPS 2024 Locating What You Need: Towards Adapting Diffusion Models to OOD Concepts In-the-Wild Jianan Yang, Chenchao Gao, Zhiqing Xiao, Junbo Zhao, Sai Wu, Gang Chen, Haobo Wang

AAAI 2024 Sampling-Resilient Multi-Object Tracking Zepeng Li, Dongxiang Zhang, Sai Wu, Mingli Song, Gang Chen

ICML 2023 Byzantine-Robust Learning on Heterogeneous Data via Gradient Splitting Yuchen Liu, Chen Chen, Lingjuan Lyu, Fangzhao Wu, Sai Wu, Gang Chen

ICLR 2023 Learning a Data-Driven Policy Network for Pre-Training Automated Feature Engineering Liyao Li, Haobo Wang, Liangyu Zha, Qingyi Huang, Sai Wu, Gang Chen, Junbo Zhao

ICCV 2023 ModelGiF: Gradient Fields for Model Functional Distance Jie Song, Zhengqi Xu, Sai Wu, Gang Chen, Mingli Song

ICML 2023 Towards Controlled Data Augmentations for Active Learning Jianan Yang, Haobo Wang, Sai Wu, Gang Chen, Junbo Zhao

IJCAI 2022 Comparison Knowledge Translation for Generalizable Image Classification Zunlei Feng, Tian Qiu, Sai Wu, Xiaotuan Jin, Zengliang He, Mingli Song, Huiqiong Wang

AAAI 2022 Model Doctor: A Simple Gradient Aggregation Strategy for Diagnosing and Treating CNN Classifiers Zunlei Feng, Jiacong Hu, Sai Wu, Xiaotian Yu, Jie Song, Mingli Song

AAAI 2021 Effective Slot Filling via Weakly-Supervised Dual-Model Learning Jue Wang, Ke Chen, Lidan Shou, Sai Wu, Gang Chen

ICML 2021 Joining Datasets via Data Augmentation in the Label Space for Neural Networks Junbo Zhao, Mingfeng Ou, Linji Xue, Yunkai Cui, Sai Wu, Gang Chen