Lu, Shuai

16 publications

ICLR 2025 Alchemy: Amplifying Theorem-Proving Capability Through Symbolic Mutation Shaonan Wu, Shuai Lu, Yeyun Gong, Nan Duan, Ping Wei

ICCV 2025 ArchiSet: Benchmarking Editable and Consistent Single-View 3D Reconstruction of Buildings with Specific Window-to-Wall Ratios Jun Yin, Pengyu Zeng, Licheng Shen, Miao Zhang, Jing Zhong, Yuxing Han, Shuai Lu

ICLR 2025 Automated Proof Generation for Rust Code via Self-Evolution Tianyu Chen, Shuai Lu, Shan Lu, Yeyun Gong, Chenyuan Yang, Xuheng Li, Md Rakib Hossain Misu, Hao Yu, Nan Duan, Peng Cheng, Fan Yang, Shuvendu K Lahiri, Tao Xie, Lidong Zhou

CVPR 2025 Dinomaly: The Less Is More Philosophy in Multi-Class Unsupervised Anomaly Detection Jia Guo, Shuai Lu, Weihang Zhang, Fang Chen, Huiqi Li, Hongen Liao

NeurIPS 2025 Domain Adaptive Hashing Retrieval via VLM Assisted Pseudo-Labeling and Dual Space Adaptation Jingyao Li, Zhanshan Li, Shuai Lü

ICML 2025 MindAligner: Explicit Brain Functional Alignment for Cross-Subject Visual Decoding from Limited fMRI Data Yuqin Dai, Zhouheng Yao, Chunfeng Song, Qihao Zheng, Weijian Mai, Kunyu Peng, Shuai Lu, Wanli Ouyang, Jian Yang, Jiamin Wu

IJCAI 2024 Alleviating Imbalanced Pseudo-Label Distribution: Self-Supervised Multi-Source Domain Adaptation with Label-Specific Confidence Shuai Lü, Meng Kang, Ximing Li

NeurIPSW 2024 CARD: Cross-Modal Agent Framework for Generative and Editable Residential Design Pengyu Zeng, Maowei Jiang, Zihang Wang, Jizhizi Li, Jun Yin, Shuai Lu

AAAI 2024 Double Buffers CEM-TD3: More Efficient Evolution and Richer Exploration Sheng Zhu, Chun Shen, Shuai Lü, Junhong Wu, Daolong An

AAAI 2024 Low Category Uncertainty and High Training Potential Instance Learning for Unsupervised Domain Adaptation Xinyu Zhang, Meng Kang, Shuai Lü

IJCAI 2024 Reconfigurability-Aware Selection for Contrastive Active Domain Adaptation Zeyu Zhang, Chun Shen, Shuai Lü, Shaojie Zhang

AAAI 2024 Reviewing the Forgotten Classes for Domain Adaptation of Black-Box Predictors Shaojie Zhang, Chun Shen, Shuai Lü, Zeyu Zhang

IJCAI 2023 Adaptive Estimation Q-Learning with Uncertainty and Familiarity Xiaoyu Gong, Shuai Lü, Jiayu Yu, Sheng Zhu, Zongze Li

NeurIPS 2023 ReContrast: Domain-Specific Anomaly Detection via Contrastive Reconstruction Jia Guo, Shuai Lu, Lize Jia, Weihang Zhang, Huiqi Li

ICLR 2021 GraphCodeBERT: Pre-Training Code Representations with Data Flow Daya Guo, Shuo Ren, Shuai Lu, Zhangyin Feng, Duyu Tang, Shujie Liu, Long Zhou, Nan Duan, Alexey Svyatkovskiy, Shengyu Fu, Michele Tufano, Shao Kun Deng, Colin Clement, Dawn Drain, Neel Sundaresan, Jian Yin, Daxin Jiang, Ming Zhou

IJCAI 2018 Summarizing Source Code with Transferred API Knowledge Xing Hu, Ge Li, Xin Xia, David Lo, Shuai Lu, Zhi Jin