Jinda Lu - RankMe

35 papers A* 8A 1Journal 24Unranked 2

Year	Rank	Type	Title / Venue / Authors
2026	A*	`conf`	Accelerating Controllable Generation via Hybrid-grained Cache. AAAI Lin Liu, Huixia Ben, Shuo Wang, Jinda Lu, Junxiang Qiu, Shengeng Tang, Yanbin Hao
2026	J	`jnl`	AdViP: Aligning Multi-modal LLMs via Adaptive Vision-enhanced Preference Optimization. Int. J. Comput. Vis. Jinda Lu, Jinghan Li, Yuan Gao, Junkang Wu, Jiancan Wu, Xiang Wang, Xiangnan He
2026	J	`jnl`	Beyond Where to Look: Trajectory-Guided Reinforcement Learning for Multimodal RLVR. CoRR Jinda Lu, Junkang Wu, Jinghan Li, Kexin Huang, Shuo Yang, Mingzhu Chen, Jiancan Wu, Kuien Liu, Xiang Wang
2026	J	`jnl`	Bridging Perception and Reasoning: Token Reweighting for RLVR in Multimodal LLMs. CoRR Jinda Lu, Junkang Wu, Jinghan Li, Kexin Huang, Shuo Yang, Guoyin Wang, Jiancan Wu, Xiang Wang, Xiangnan He
2026	A*	`conf`	Causal-HalBench: Uncovering LVLMs Object Hallucinations Through Causal Intervention. AAAI Zhe Xu, Zhicai Wang, Junkang Wu, Jinda Lu, Xiang Wang
2026	J	`jnl`	Enhancing Multi-Modal LLMs Reasoning via Difficulty-Aware Group Normalization. CoRR Jinghan Li, Junfeng Fang, Jinda Lu, Yuan Wang, Xiaoyan Guo, Tianyu Zhang, Xiang Wang, Xiangnan He
2026	J	`jnl`	FIPO: Eliciting Deep Reasoning with Future-KL Influenced Policy Optimization. CoRR Chiyu Ma, Shuo Yang, Kexin Huang, Jinda Lu, Haoming Meng, Shangshang Wang, Bolin Ding, Soroush Vosoughi, Guoyin Wang, Jingren Zhou
2026	J	`jnl`	On the Direction of RLVR Updates for LLM Reasoning: Identification and Exploitation. CoRR 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
2026	J	`jnl`	Punctuation-aware Hybrid Trainable Sparse Attention for Large Language Models. CoRR Junxiang Qiu, Shuo Wang, Zhengsu Chen, Hengheng Zhang, Jinda Lu, Changcheng Li, Qi Tian
2026	J	`jnl`	Thinking with Frames: Generative Video Distortion Evaluation via Frame Reward Model. CoRR Yuan Wang, Borui Liao, Huijuan Huang, Jinda Lu, Ouxiang Li, Kuien Liu, Meng Wang, Xiang Wang
2025	J	`jnl`	Accelerating Controllable Generation via Hybrid-grained Cache. CoRR Lin Liu, Huixia Ben, Shuo Wang, Jinda Lu, Junxiang Qiu, Shengeng Tang, Yanbin Hao
2025	A*	`conf`	Accelerating Diffusion Transformer via Error-Optimized Cache. ACM Multimedia Junxiang Qiu, Shuo Wang, Jinda Lu, Lin Liu, Houcheng Jiang, Xingyu Zhu, Yanbin Hao
2025	J	`jnl`	Accelerating Diffusion Transformer via Error-Optimized Cache. CoRR Junxiang Qiu, Shuo Wang, Jinda Lu, Lin Liu, Houcheng Jiang, Yanbin Hao
2025	J	`jnl`	Accelerating Diffusion Transformer via Gradient-Optimized Cache. CoRR Junxiang Qiu, Lin Liu, Shuo Wang, Jinda Lu, Kezhou Chen, Yanbin Hao
2025	J	`jnl`	AdaViP: Aligning Multi-modal LLMs via Adaptive Vision-enhanced Preference Optimization. CoRR Jinda Lu, Jinghan Li, Yuan Gao, Junkang Wu, Jiancan Wu, Xiang Wang, Xiangnan He
2025	J	`jnl`	Aligning Multimodal LLM with Human Preference: A Survey. CoRR 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
2025	J	`jnl`	Causal-HalBench: Uncovering LVLMs Object Hallucinations Through Causal Intervention. CoRR Zhe Xu, Zhicai Wang, Junkang Wu, Jinda Lu, Xiang Wang
2025	A*	`conf`	DAMA: Data- and Model-aware Alignment of Multi-modal LLMs. ICML Jinda Lu, Junkang Wu, Jinghan Li, Xiaojun Jia, Shuo Wang, Yifan Zhang, Junfeng Fang, Xiang Wang, Xiangnan He
2025	J	`jnl`	DAMA: Data- and Model-aware Alignment of Multi-modal LLMs. CoRR Jinda Lu, Junkang Wu, Jinghan Li, Xiaojun Jia, Shuo Wang, Yifan Zhang, Junfeng Fang, Xiang Wang, Xiangnan He
2025	A*	`conf`	DiffGAD: A Diffusion-based Unsupervised Graph Anomaly Detector. ICLR Jinghan Li, Yuan Gao, Jinda Lu, Junfeng Fang, Congcong Wen, Hui Lin, Xiang Wang
2025	J	`jnl`	Interventional Feature Generation for Few-shot Learning. ACM Trans. Multim. Comput. Commun. Appl. Shuo Wang, Jinda Lu, Huixia Ben, Yanbin Hao, Xingyu Gao, Meng Wang
2025	—	`conf`	Multimodal Generation with Consistency Transferring. NAACL (Findings) Junxiang Qiu, Jinda Lu, Shuo Wang
2025	J	`jnl`	Recursive Offloading for LLM Serving in Multi-tier Networks. CoRR Zhiyuan Wu, Sheng Sun, Yuwei Wang, Min Liu, Bo Gao, Jinda Lu, Zheming Yang, Tian Wen
2025	A*	`conf`	Unified Parameter-Efficient Unlearning for LLMs. ICLR Chenlu Ding, Jiancan Wu, Yancheng Yuan, Jinda Lu, Kai Zhang, Alex Su, Xiang Wang, Xiangnan He
2024	A*	`conf`	Boosting Few-Shot Learning via Attentive Feature Regularization. AAAI Xingyu Zhu, Shuo Wang, Jinda Lu, Yanbin Hao, Haifeng Liu, Xiangnan He
2024	J	`jnl`	Boosting Few-Shot Learning via Attentive Feature Regularization. CoRR Xingyu Zhu, Shuo Wang, Jinda Lu, Yanbin Hao, Haifeng Liu, Xiangnan He
2024	J	`jnl`	DiffGAD: A Diffusion-based Unsupervised Graph Anomaly Detector. CoRR Jinghan Li, Yuan Gao, Jinda Lu, Junfeng Fang, Congcong Wen, Hui Lin, Xiang Wang
2024	J	`jnl`	Feature Mixture on Pre-Trained Model for Few-Shot Learning. IEEE Trans. Image Process. Shuo Wang, Jinda Lu, Haiyang Xu, Yanbin Hao, Xiangnan He
2024	J	`jnl`	FedCache: A Knowledge Cache-Driven Federated Learning Architecture for Personalized Edge Intelligence. IEEE Trans. Mob. Comput. Zhiyuan Wu, Sheng Sun, Yuwei Wang, Min Liu, Ke Xu, Wen Wang, Xuefeng Jiang, Bo Gao, Jinda Lu
2024	A	`conf`	GLCM-Adapter: Global-Local Content Matching for Few-shot CLIP Adaptation. BMVC Shuo Wang, Xieenlong, Jinda Lu, Jinghan Li, Yanbin Hao
2024	—	`conf`	Modality-Guided Collaborative Filtering for Recommendation. ICIC (13) Kai Zhang, Linping Gao, Jinda Lu, Yutong Yuan, Xiaofen Xing
2024	J	`jnl`	Rethinking Visual Content Refinement in Low-Shot CLIP Adaptation. CoRR Jinda Lu, Shuo Wang, Yanbin Hao, Haifeng Liu, Xiang Wang, Meng Wang
2024	J	`jnl`	Unified Parameter-Efficient Unlearning for LLMs. CoRR Chenlu Ding, Jiancan Wu, Yancheng Yuan, Jinda Lu, Kai Zhang, Alex Su, Xiang Wang, Xiangnan He
2023	J	`jnl`	FedCache: A Knowledge Cache-driven Federated Learning Architecture for Personalized Edge Intelligence. CoRR Zhiyuan Wu, Sheng Sun, Yuwei Wang, Min Liu, Ke Xu, Wen Wang, Xuefeng Jiang, Bo Gao, Jinda Lu
2023	A*	`conf`	Semantic-based Selection, Synthesis, and Supervision for Few-shot Learning. ACM Multimedia Jinda Lu, Shuo Wang, Xinyu Zhang, Yanbin Hao, Xiangnan He