Jinda Lu

According to our database, Jinda Lu authored at least 29 papers between 2023 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

Recursive Offloading for LLM Serving in Multi-Tier Networks.

Zhiyuan Wu, Sheng Sun, Yuwei Wang, Min Liu, Bo Gao, Jinda Lu, Tingting Wu, Zheming Yang, Tian Wen

IEEE Trans. Mob. Comput., June, 2026

AdViP: Aligning Multi-modal LLMs via Adaptive Vision-enhanced Preference Optimization.

Jinda Lu, Jinghan Li, Yuan Gao, Junkang Wu, Jiancan Wu, Xiang Wang, Xiangnan He

Int. J. Comput. Vis., May, 2026

Beyond Where to Look: Trajectory-Guided Reinforcement Learning for Multimodal RLVR.

Jinda Lu, Junkang Wu, Jinghan Li, Kexin Huang, Shuo Yang, Mingzhu Chen, Jiancan Wu, Kuien Liu, Xiang Wang

CoRR, March, 2026

Bridging Perception and Reasoning: Token Reweighting for RLVR in Multimodal LLMs.

Jinda Lu, Junkang Wu, Jinghan Li, Kexin Huang, Shuo Yang, Guoyin Wang, Jiancan Wu, Xiang Wang, Xiangnan He

CoRR, March, 2026

On the Direction of RLVR Updates for LLM Reasoning: Identification and Exploitation.

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

CoRR, March, 2026

FIPO: Eliciting Deep Reasoning with Future-KL Influenced Policy Optimization.

Chiyu Ma, Shuo Yang, Kexin Huang, Jinda Lu, Haoming Meng, Shangshang Wang, Bolin Ding, Soroush Vosoughi, Guoyin Wang, Jingren Zhou

CoRR, March, 2026

Enhancing Multi-Modal LLMs Reasoning via Difficulty-Aware Group Normalization.

Jinghan Li, Junfeng Fang, Jinda Lu, Yuan Wang, Xiaoyan Guo, Tianyu Zhang, Xiang Wang, Xiangnan He

CoRR, February, 2026

Thinking with Frames: Generative Video Distortion Evaluation via Frame Reward Model.

Yuan Wang, Borui Liao, Huijuan Huang, Jinda Lu, Ouxiang Li, Kuien Liu, Meng Wang, Xiang Wang

CoRR, January, 2026

Punctuation-aware Hybrid Trainable Sparse Attention for Large Language Models.

Junxiang Qiu, Shuo Wang, Zhengsu Chen, Hengheng Zhang, Jinda Lu, Changcheng Li, Qi Tian

CoRR, January, 2026

Causal-HalBench: Uncovering LVLMs Object Hallucinations Through Causal Intervention.

Zhe Xu, Zhicai Wang, Junkang Wu, Jinda Lu, Xiang Wang

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

Accelerating Controllable Generation via Hybrid-grained Cache.

Lin Liu, Huixia Ben, Shuo Wang, Jinda Lu, Junxiang Qiu, Shengeng Tang, Yanbin Hao

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025

Interventional Feature Generation for Few-shot Learning.

Shuo Wang, Jinda Lu, Huixia Ben, Yanbin Hao, Xingyu Gao, Meng Wang

ACM Trans. Multim. Comput. Commun. Appl., June, 2025

Recursive Offloading for LLM Serving in Multi-tier Networks.

Zhiyuan Wu, Sheng Sun, Yuwei Wang, Min Liu, Bo Gao, Jinda Lu, Zheming Yang, Tian Wen

CoRR, May, 2025

AdaViP: Aligning Multi-modal LLMs via Adaptive Vision-enhanced Preference Optimization.

Jinda Lu, Jinghan Li, Yuan Gao, Junkang Wu, Jiancan Wu, Xiang Wang, Xiangnan He

CoRR, April, 2025

Aligning Multimodal LLM with Human Preference: A Survey.

Tao Yu, Yifan Zhang, Chaoyou Fu, Junkang Wu, Jinda Lu, Kun Wang, Xingyu Lu, Yunhang Shen, Guibin Zhang, Dingjie Song, Yibo Yan, Tianlong Xu, Qingsong Wen, Zhang Zhang, Yan Huang, Liang Wang, Tieniu Tan

CoRR, March, 2025

Accelerating Diffusion Transformer via Error-Optimized Cache.

Junxiang Qiu, Shuo Wang, Jinda Lu, Lin Liu, Houcheng Jiang, Yanbin Hao

CoRR, January, 2025

Multimodal Generation with Consistency Transferring.

Junxiang Qiu, Jinda Lu, Shuo Wang

Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2025, Albuquerque, New Mexico, USA, April 29, 2025

Accelerating Diffusion Transformer via Error-Optimized Cache.

Junxiang Qiu, Shuo Wang, Jinda Lu, Lin Liu, Houcheng Jiang, Xingyu Zhu, Yanbin Hao

Proceedings of the 33rd ACM International Conference on Multimedia, 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

Proceedings of the Forty-second International Conference on Machine Learning, 2025

DiffGAD: A Diffusion-based Unsupervised Graph Anomaly Detector.

Jinghan Li, Yuan Gao, Jinda Lu, Junfeng Fang, Congcong Wen, Hui Lin, Xiang Wang

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

Unified Parameter-Efficient Unlearning for LLMs.

Chenlu Ding, Jiancan Wu, Yancheng Yuan, Jinda Lu, Kai Zhang, Alex Su, Xiang Wang, Xiangnan He

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

Accelerating Diffusion Transformer via Gradient-Optimized Cache.

Junxiang Qiu, Lin Liu, Shuo Wang, Jinda Lu, Kezhou Chen, Yanbin Hao

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2025

2024

FedCache: A Knowledge Cache-Driven Federated Learning Architecture for Personalized Edge Intelligence.

Zhiyuan Wu, Sheng Sun, Yuwei Wang, Min Liu, Ke Xu, Wen Wang, Xuefeng Jiang, Bo Gao, Jinda Lu

IEEE Trans. Mob. Comput., October, 2024

Feature Mixture on Pre-Trained Model for Few-Shot Learning.

Shuo Wang, Jinda Lu, Haiyang Xu, Yanbin Hao, Xiangnan He

IEEE Trans. Image Process., 2024

Rethinking Visual Content Refinement in Low-Shot CLIP Adaptation.

Jinda Lu, Shuo Wang, Yanbin Hao, Haifeng Liu, Xiang Wang, Meng Wang

CoRR, 2024

Modality-Guided Collaborative Filtering for Recommendation.

Kai Zhang, Linping Gao, Jinda Lu, Yutong Yuan, Xiaofen Xing

Proceedings of the Advanced Intelligent Computing Technology and Applications, 2024

GLCM-Adapter: Global-Local Content Matching for Few-shot CLIP Adaptation.

Shuo Wang, Xieenlong, Jinda Lu, Jinghan Li, Yanbin Hao

Proceedings of the 35th British Machine Vision Conference, 2024

Boosting Few-Shot Learning via Attentive Feature Regularization.

Xingyu Zhu, Shuo Wang, Jinda Lu, Yanbin Hao, Haifeng Liu, Xiangnan He

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Semantic-based Selection, Synthesis, and Supervision for Few-shot Learning.

Jinda Lu, Shuo Wang, Xinyu Zhang, Yanbin Hao, Xiangnan He

Proceedings of the 31st ACM International Conference on Multimedia, 2023