Lu, Jinda

6 publications

ICLR 2026 Beyond Magnitude: Leveraging Direction of RLVR Updates for LLM Reasoning Kexin Huang, Haoming Meng, Junkang Wu, Jinda Lu, Chiyu Ma, Ziqian Chen, Xue Wang, Bolin Ding, Jiancan Wu, Xiang Wang, Xiangnan He, Guoyin Wang, Jingren Zhou

ICCV 2025 Accelerating Diffusion Transformer via Gradient-Optimized Cache Junxiang Qiu, Lin Liu, Shuo Wang, Jinda Lu, Kezhou Chen, Yanbin Hao

ICML 2025 DAMA: Data- and Model-Aware Alignment of Multi-Modal LLMs Jinda Lu, Junkang Wu, Jinghan Li, Xiaojun Jia, Shuo Wang, Yifan Zhang, Junfeng Fang, Xiang Wang, Xiangnan He

ICLR 2025 DiffGAD: A Diffusion-Based Unsupervised Graph Anomaly Detector Jinghan Li, Yuan Gao, Jinda Lu, Junfeng Fang, Congcong Wen, Hui Lin, Xiang Wang

ICLR 2025 Unified Parameter-Efficient Unlearning for LLMs Chenlu Ding, Jiancan Wu, Yancheng Yuan, Jinda Lu, Kai Zhang, Alex Su, Xiang Wang, Xiangnan He

AAAI 2024 Boosting Few-Shot Learning via Attentive Feature Regularization Xingyu Zhu, Shuo Wang, Jinda Lu, Yanbin Hao, Haifeng Liu, Xiangnan He