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Jinda Lu
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2020 – today
- 2026
- [j4]Jinda Lu, Jinghan Li, Yuan Gao, Junkang Wu, Jiancan Wu, Xiang Wang, Xiangnan He:
AdViP: Aligning Multi-modal LLMs via Adaptive Vision-enhanced Preference Optimization. Int. J. Comput. Vis. 134(5): 224 (2026) - [c11]Lin Liu, Huixia Ben, Shuo Wang, Jinda Lu, Junxiang Qiu, Shengeng Tang, Yanbin Hao:
Accelerating Controllable Generation via Hybrid-grained Cache. AAAI 2026: 7215-7223 - [c10]Zhe Xu, Zhicai Wang, Junkang Wu, Jinda Lu, Xiang Wang:
Causal-HalBench: Uncovering LVLMs Object Hallucinations Through Causal Intervention. AAAI 2026: 34169-34177 - [i20]Junxiang Qiu, Shuo Wang, Zhengsu Chen, Hengheng Zhang, Jinda Lu, Changcheng Li, Qi Tian:
Punctuation-aware Hybrid Trainable Sparse Attention for Large Language Models. CoRR abs/2601.02819 (2026) - [i19]Yuan Wang, Borui Liao, Huijuan Huang, Jinda Lu, Ouxiang Li, Kuien Liu, Meng Wang, Xiang Wang:
Thinking with Frames: Generative Video Distortion Evaluation via Frame Reward Model. CoRR abs/2601.04033 (2026) - [i18]Jinghan Li, Junfeng Fang, Jinda Lu, Yuan Wang, Xiaoyan Guo, Tianyu Zhang, Xiang Wang, Xiangnan He:
Enhancing Multi-Modal LLMs Reasoning via Difficulty-Aware Group Normalization. CoRR abs/2602.21743 (2026) - [i17]Chiyu Ma, Shuo Yang, Kexin Huang, Jinda Lu, Haoming Meng, Shangshang Wang, Bolin Ding, Soroush Vosoughi, Guoyin Wang, Jingren Zhou:
FIPO: Eliciting Deep Reasoning with Future-KL Influenced Policy Optimization. CoRR abs/2603.19835 (2026) - [i16]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:
On the Direction of RLVR Updates for LLM Reasoning: Identification and Exploitation. CoRR abs/2603.22117 (2026) - [i15]Jinda Lu, Junkang Wu, Jinghan Li, Kexin Huang, Shuo Yang, Guoyin Wang, Jiancan Wu, Xiang Wang, Xiangnan He:
Bridging Perception and Reasoning: Token Reweighting for RLVR in Multimodal LLMs. CoRR abs/2603.25077 (2026) - [i14]Jinda Lu, Junkang Wu, Jinghan Li, Kexin Huang, Shuo Yang, Mingzhu Chen, Jiancan Wu, Kuien Liu, Xiang Wang:
Beyond Where to Look: Trajectory-Guided Reinforcement Learning for Multimodal RLVR. CoRR abs/2603.26126 (2026) - 2025
- [j3]Shuo Wang
, Jinda Lu
Interventional Feature Generation for Few-shot Learning. ACM Trans. Multim. Comput. Commun. Appl. 21(6): 165:1-165:21 (2025) - [c9]Chenlu Ding, Jiancan Wu, Yancheng Yuan, Jinda Lu, Kai Zhang, Alex Su, Xiang Wang, Xiangnan He:
Unified Parameter-Efficient Unlearning for LLMs. ICLR 2025 - [c8]Jinghan Li, Yuan Gao, Jinda Lu, Junfeng Fang, Congcong Wen, Hui Lin, Xiang Wang:
DiffGAD: A Diffusion-based Unsupervised Graph Anomaly Detector. ICLR 2025 - [c7]Jinda Lu, Junkang Wu, Jinghan Li, Xiaojun Jia, Shuo Wang, Yifan Zhang, Junfeng Fang, Xiang Wang, Xiangnan He:
DAMA: Data- and Model-aware Alignment of Multi-modal LLMs. ICML 2025 - [c6]Junxiang Qiu
Accelerating Diffusion Transformer via Error-Optimized Cache. ACM Multimedia 2025: 9588-9597 - [c5]Junxiang Qiu, Jinda Lu, Shuo Wang:
Multimodal Generation with Consistency Transferring. NAACL (Findings) 2025: 504-513 - [i13]Junxiang Qiu, Shuo Wang, Jinda Lu, Lin Liu, Houcheng Jiang, Yanbin Hao:
Accelerating Diffusion Transformer via Error-Optimized Cache. CoRR abs/2501.19243 (2025) - [i12]Jinda Lu, Junkang Wu, Jinghan Li, Xiaojun Jia, Shuo Wang, Yifan Zhang, Junfeng Fang, Xiang Wang, Xiangnan He:
DAMA: Data- and Model-aware Alignment of Multi-modal LLMs. CoRR abs/2502.01943 (2025) - [i11]Junxiang Qiu, Lin Liu, Shuo Wang, Jinda Lu, Kezhou Chen, Yanbin Hao:
Accelerating Diffusion Transformer via Gradient-Optimized Cache. CoRR abs/2503.05156 (2025) - [i10]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:
Aligning Multimodal LLM with Human Preference: A Survey. CoRR abs/2503.14504 (2025) - [i9]Jinda Lu, Jinghan Li, Yuan Gao, Junkang Wu, Jiancan Wu, Xiang Wang, Xiangnan He:
AdaViP: Aligning Multi-modal LLMs via Adaptive Vision-enhanced Preference Optimization. CoRR abs/2504.15619 (2025) - [i8]Zhiyuan Wu, Sheng Sun, Yuwei Wang, Min Liu, Bo Gao, Jinda Lu, Zheming Yang, Tian Wen:
Recursive Offloading for LLM Serving in Multi-tier Networks. CoRR abs/2505.16502 (2025) - [i7]Zhe Xu, Zhicai Wang, Junkang Wu, Jinda Lu, Xiang Wang:
Causal-HalBench: Uncovering LVLMs Object Hallucinations Through Causal Intervention. CoRR abs/2511.10268 (2025) - [i6]Lin Liu, Huixia Ben, Shuo Wang, Jinda Lu, Junxiang Qiu, Shengeng Tang, Yanbin Hao:
Accelerating Controllable Generation via Hybrid-grained Cache. CoRR abs/2511.11031 (2025) - 2024
- [j2]Shuo Wang
Feature Mixture on Pre-Trained Model for Few-Shot Learning. IEEE Trans. Image Process. 33: 4104-4115 (2024) - [j1]Zhiyuan Wu
FedCache: A Knowledge Cache-Driven Federated Learning Architecture for Personalized Edge Intelligence. IEEE Trans. Mob. Comput. 23(10): 9368-9382 (2024) - [c4]Xingyu Zhu, Shuo Wang, Jinda Lu, Yanbin Hao, Haifeng Liu, Xiangnan He:
Boosting Few-Shot Learning via Attentive Feature Regularization. AAAI 2024: 7793-7801 - [c3]Shuo Wang, Xieenlong, Jinda Lu, Jinghan Li, Yanbin Hao:
GLCM-Adapter: Global-Local Content Matching for Few-shot CLIP Adaptation. BMVC 2024 - [c2]Kai Zhang, Linping Gao, Jinda Lu, Yutong Yuan, Xiaofen Xing:
Modality-Guided Collaborative Filtering for Recommendation. ICIC (13) 2024: 237-248 - [i5]Xingyu Zhu, Shuo Wang, Jinda Lu, Yanbin Hao, Haifeng Liu, Xiangnan He:
Boosting Few-Shot Learning via Attentive Feature Regularization. CoRR abs/2403.17025 (2024) - [i4]Jinda Lu, Shuo Wang, Yanbin Hao, Haifeng Liu, Xiang Wang, Meng Wang:
Rethinking Visual Content Refinement in Low-Shot CLIP Adaptation. CoRR abs/2407.14117 (2024) - [i3]Jinghan Li, Yuan Gao, Jinda Lu, Junfeng Fang, Congcong Wen
DiffGAD: A Diffusion-based Unsupervised Graph Anomaly Detector. CoRR abs/2410.06549 (2024) - [i2]Chenlu Ding, Jiancan Wu, Yancheng Yuan, Jinda Lu, Kai Zhang, Alex Su, Xiang Wang, Xiangnan He:
Unified Parameter-Efficient Unlearning for LLMs. CoRR abs/2412.00383 (2024) - 2023
- [c1]Jinda Lu
Semantic-based Selection, Synthesis, and Supervision for Few-shot Learning. ACM Multimedia 2023: 3569-3578 - [i1]Zhiyuan Wu, Sheng Sun, Yuwei Wang, Min Liu, Ke Xu, Wen Wang, Xuefeng Jiang, Bo Gao, Jinda Lu:
FedCache: A Knowledge Cache-driven Federated Learning Architecture for Personalized Edge Intelligence. CoRR abs/2308.07816 (2023)
Coauthor Index
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