Didi Zhu - RankMe

40 papers A* 12Journal 25Unranked 3

Year	Rank	Type	Title / Venue / Authors
2026	—	`conf`	Each Rank Could be an Expert: Single-Ranked Mixture of Experts LoRA for Multi-task Learning. KDD (1) Ziyu Zhao, Yixiao Zhou, Xin Yu, Zhi Zhang, Didi Zhu, Tao Shen, Zexi Li, Jinluan Yang, Xuwu Wang, Jing Su, Kun Kuang, Zhongyu Wei, Fei Wu, Yu Cheng
2026	J	`jnl`	Watch Wider and Think Deeper: Collaborative Cross-modal Chain-of-Thought for Complex Visual Reasoning. CoRR Wenting Lu, Didi Zhu, Tao Shen, Donglin Zhu, Ayong Ye, Chao Wu
2025	A*	`conf`	Be Confident: Uncovering Overfitting in MLLM Multi-Task Tuning. ICML Wenke Huang, Jian Liang, Guancheng Wan, Didi Zhu, He Li, Jiawei Shao, Mang Ye, Bo Du, Dacheng Tao
2025	A*	`conf`	ERICT: Enhancing Robustness by Identifying Concept Tokens in Zero-Shot Vision Language Models. ICML Xinpeng Dong, Min Zhang, Didi Zhu, Ye Jun Jian, Keli Zhang, Aimin Zhou, Fei Wu, Kun Kuang
2025	J	`jnl`	Each Rank Could be an Expert: Single-Ranked Mixture of Experts LoRA for Multi-Task Learning. CoRR Ziyu Zhao, Yixiao Zhou, Didi Zhu, Tao Shen, Xuwu Wang, Jing Su, Kun Kuang, Zhongyu Wei, Fei Wu, Yu Cheng
2025	J	`jnl`	FedEve: On Bridging the Client Drift and Period Drift for Cross-device Federated Learning. CoRR Tao Shen, Zexi Li, Didi Zhu, Ziyu Zhao, Chao Wu, Fei Wu
2025	—	`conf`	FedGuCci: Making Local Models More Connected in Landscape for Federated Learning. KDD (2) Zexi Li, Jie Lin, Zhiqi Li, Didi Zhu, Tao Shen, Tao Lin, Chao Wu, Nicholas D. Lane
2025	J	`jnl`	FedMcon: an adaptive aggregation method for federated learning via meta controller. Frontiers Inf. Technol. Electron. Eng. Tao Shen, Zexi Li, Ziyu Zhao, Didi Zhu, Zheqi Lv, Kun Kuang, Shengyu Zhang, Chao Wu, Fei Wu
2025	J	`jnl`	Generative Artificial Intelligence in Robotic Manipulation: A Survey. CoRR Kun Zhang, Peng Yun, Jun Cen, Junhao Cai, Didi Zhu, Hangjie Yuan, Chao Zhao, Tao Feng, Michael Yu Wang, Qifeng Chen, Jia Pan, Wei Zhang, Bo Yang, Hua Chen
2025	J	`jnl`	Keeping Yourself is Important in Downstream Tuning Multimodal Large Language Model. CoRR Wenke Huang, Jian Liang, Xianda Guo, Yiyang Fang, Guancheng Wan, Xuankun Rong, Chi Wen, Zekun Shi, Qingyun Li, Didi Zhu, Yanbiao Ma, Ke Liang, Bin Yang, He Li, Jiawei Shao, Mang Ye, Bo Du
2025	A*	`conf`	Learn from Downstream and Be Yourself in Multimodal Large Language Models Fine-Tuning. ICML Wenke Huang, Jian Liang, Zekun Shi, Didi Zhu, Guancheng Wan, He Li, Bo Du, Dacheng Tao, Mang Ye
2025	J	`jnl`	Let Human Sketches Help: Empowering Challenging Image Segmentation Task with Freehand Sketches. CoRR Ying Zang, Runlong Cao, Jianqi Zhang, Yidong Han, Ziyue Cao, Wenjun Hu, Didi Zhu, Lanyun Zhu, Zejian Li, Deyi Ji, Tianrun Chen
2025	A*	`conf`	Merging LoRAs like Playing LEGO: Pushing the Modularity of LoRA to Extremes Through Rank-Wise Clustering. ICLR Ziyu Zhao, Tao Shen, Didi Zhu, Zexi Li, Jing Su, Xuwu Wang, Fei Wu
2025	A*	`conf`	Mitigating the Backdoor Effect for Multi-Task Model Merging via Safety-Aware Subspace. ICLR Jinluan Yang, Anke Tang, Didi Zhu, Zhengyu Chen, Li Shen, Fei Wu
2025	J	`jnl`	Mix Data or Merge Models? Balancing the Helpfulness, Honesty, and Harmlessness of Large Language Model via Model Merging. CoRR Jinluan Yang, Dingnan Jin, Anke Tang, Li Shen, Didi Zhu, Zhengyu Chen, Daixin Wang, Qing Cui, Zhiqiang Zhang, Jun Zhou, Fei Wu, Kun Kuang
2025	J	`jnl`	Noise Projection: Closing the Prompt-Agnostic Gap Behind Text-to-Image Misalignment in Diffusion Models. CoRR Yunze Tong, Didi Zhu, Zijing Hu, Jinluan Yang, Ziyu Zhao
2025	J	`jnl`	OmniEduBench: A Comprehensive Chinese Benchmark for Evaluating Large Language Models in Education. CoRR Min Zhang, Hao Chen, Hao Chen, Wenqi Zhang, Didi Zhu, Xin Lin, Bo Jiang, Aimin Zhou, Fei Wu, Kun Kuang
2025	A*	`conf`	REMEDY: Recipe Merging Dynamics in Large Vision-Language Models. ICLR Didi Zhu, Yibing Song, Tao Shen, Ziyu Zhao, Jinluan Yang, Min Zhang, Chao Wu
2025	J	`jnl`	Will LLMs Scaling Hit the Wall? Breaking Barriers via Distributed Resources on Massive Edge Devices. CoRR Tao Shen, Didi Zhu, Ziyu Zhao, Chao Wu, Fei Wu
2025	A*	`conf`	ZeroFlow: Overcoming Catastrophic Forgetting is Easier than You Think. ICML Tao Feng, Wei Li, Didi Zhu, Hangjie Yuan, Wendi Zheng, Dan Zhang, Jie Tang
2025	J	`jnl`	ZeroFlow: Overcoming Catastrophic Forgetting is Easier than You Think. CoRR Tao Feng, Wei Li, Didi Zhu, Hangjie Yuan, Wendi Zheng, Dan Zhang, Jie Tang
2024	—	`conf`	An Adaptive Aggregation Method for Federated Learning via Meta Controller. MMAsia Workshops Tao Shen, Zexi Li, Ziyu Zhao, Didi Zhu, Zheqi Lv, Shengyu Zhang, Kun Kuang, Fei Wu
2024	J	`jnl`	Improving Group Connectivity for Generalization of Federated Deep Learning. CoRR Zexi Li, Jie Lin, Zhiqi Li, Didi Zhu, Chao Wu
2024	J	`jnl`	Learn from Downstream and Be Yourself in Multimodal Large Language Model Fine-Tuning. CoRR Wenke Huang, Jian Liang, Zekun Shi, Didi Zhu, Guancheng Wan, He Li, Bo Du, Dacheng Tao, Mang Ye
2024	J	`jnl`	Merging LoRAs like Playing LEGO: Pushing the Modularity of LoRA to Extremes Through Rank-Wise Clustering. CoRR Ziyu Zhao, Tao Shen, Didi Zhu, Zexi Li, Jing Su, Xuwu Wang, Kun Kuang, Fei Wu
2024	J	`jnl`	Mitigating the Backdoor Effect for Multi-Task Model Merging via Safety-Aware Subspace. CoRR Jinluan Yang, Anke Tang, Didi Zhu, Zhengyu Chen, Li Shen, Fei Wu
2024	A*	`conf`	Model Tailor: Mitigating Catastrophic Forgetting in Multi-modal Large Language Models. ICML Didi Zhu, Zhongyi Sun, Zexi Li, Tao Shen, Ke Yan, Shouhong Ding, Chao Wu, Kun Kuang
2024	J	`jnl`	Model Tailor: Mitigating Catastrophic Forgetting in Multi-modal Large Language Models. CoRR Didi Zhu, Zhongyi Sun, Zexi Li, Tao Shen, Ke Yan, Shouhong Ding, Kun Kuang, Chao Wu
2024	A*	`conf`	Neural Collapse Anchored Prompt Tuning for Generalizable Vision-Language Models. KDD Didi Zhu, Zexi Li, Min Zhang, Junkun Yuan, Jiashuo Liu, Kun Kuang, Chao Wu
2024	J	`jnl`	RESMatch: Referring Expression Segmentation in a Semi-Supervised Manner. CoRR Ying Zang, Chenglong Fu, Runlong Cao, Didi Zhu, Min Zhang, Wenjun Hu, Lanyun Zhu, Tianrun Chen
2024	J	`jnl`	Towards Effective Clustered Federated Learning: A Peer-to-Peer Framework With Adaptive Neighbor Matching. IEEE Trans. Big Data Zexi Li, Jiaxun Lu, Shuang Luo, Didi Zhu, Yunfeng Shao, Yinchuan Li, Zhimeng Zhang, Yongheng Wang, Chao Wu
2023	J	`jnl`	Bridging the Gap: Neural Collapse Inspired Prompt Tuning for Generalization under Class Imbalance. CoRR Didi Zhu, Yinchuan Li, Min Zhang, Junkun Yuan, Jiashuo Liu, Zexi Li, Kun Kuang, Chao Wu
2023	A*	`conf`	Generalized Universal Domain Adaptation with Generative Flow Networks. ACM Multimedia Didi Zhu, Yinchuan Li, Yunfeng Shao, Jianye Hao, Fei Wu, Kun Kuang, Jun Xiao, Chao Wu
2023	J	`jnl`	Generalized Universal Domain Adaptation with Generative Flow Networks. CoRR Didi Zhu, Yinchuan Li, Yunfeng Shao, Jianye Hao, Fei Wu, Kun Kuang, Jun Xiao, Chao Wu
2023	A*	`conf`	Quantitatively Measuring and Contrastively Exploring Heterogeneity for Domain Generalization. KDD Yunze Tong, Junkun Yuan, Min Zhang, Didi Zhu, Keli Zhang, Fei Wu, Kun Kuang
2023	J	`jnl`	Quantitatively Measuring and Contrastively Exploring Heterogeneity for Domain Generalization. CoRR Yunze Tong, Junkun Yuan, Min Zhang, Didi Zhu, Keli Zhang, Fei Wu, Kun Kuang
2023	A*	`conf`	Universal Domain Adaptation via Compressive Attention Matching. ICCV Didi Zhu, Yinchuan Li, Junkun Yuan, Zexi Li, Kun Kuang, Chao Wu
2023	J	`jnl`	Universal Domain Adaptation via Compressive Attention Matching. CoRR Didi Zhu, Yinchuan Li, Junkun Yuan, Zexi Li, Yunfeng Shao, Kun Kuang, Chao Wu
2022	J	`jnl`	Mining Latent Relationships among Clients: Peer-to-peer Federated Learning with Adaptive Neighbor Matching. CoRR Zexi Li, Jiaxun Lu, Shuang Luo, Didi Zhu, Yunfeng Shao, Yinchuan Li, Zhimeng Zhang, Chao Wu
2021	J	`jnl`	Ensemble Federated Adversarial Training with Non-IID data. CoRR Shuang Luo, Didi Zhu, Zexi Li, Chao Wu