Bai, Jing

9 publications

ICLR 2025 DreamBench++: A Human-Aligned Benchmark for Personalized Image Generation Yuang Peng, Yuxin Cui, Haomiao Tang, Zekun Qi, Runpei Dong, Jing Bai, Chunrui Han, Zheng Ge, Xiangyu Zhang, Shu-Tao Xia

ICML 2025 Vulnerability-Aware Alignment: Mitigating Uneven Forgetting in Harmful Fine-Tuning Liang Chen, Xueting Han, Li Shen, Jing Bai, Kam-Fai Wong

AAAI 2024 AdapterGNN: Parameter-Efficient Fine-Tuning Improves Generalization in GNNs Shengrui Li, Xueting Han, Jing Bai

ICLR 2022 Creating Training Sets via Weak Indirect Supervision Jieyu Zhang, Bohan Wang, Xiangchen Song, Yujing Wang, Yaming Yang, Jing Bai, Alexander Ratner

AAAI 2022 Graph Pointer Neural Networks Tianmeng Yang, Yujing Wang, Zhihan Yue, Yaming Yang, Yunhai Tong, Jing Bai

ICML 2021 Evolving Attention with Residual Convolutions Yujing Wang, Yaming Yang, Jiangang Bai, Mingliang Zhang, Jing Bai, Jing Yu, Ce Zhang, Gao Huang, Yunhai Tong

NeurIPS 2020 Spectral Temporal Graph Neural Network for Multivariate Time-Series Forecasting Defu Cao, Yujing Wang, Juanyong Duan, Ce Zhang, Xia Zhu, Congrui Huang, Yunhai Tong, Bixiong Xu, Jing Bai, Jie Tong, Qi Zhang

AAAI 2020 TextNAS: A Neural Architecture Search Space Tailored for Text Representation Yujing Wang, Yaming Yang, Yiren Chen, Jing Bai, Ce Zhang, Guinan Su, Xiaoyu Kou, Yunhai Tong, Mao Yang, Lidong Zhou

ECCV 2016 Deep Learning 3D Shape Surfaces Using Geometry Images Ayan Sinha, Jing Bai, Karthik Ramani