Qianshan Wei

According to our database, Qianshan Wei authored at least 13 papers between 2024 and 2026.

Collaborative distances:

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

2026

Agentic-MME: What Agentic Capability Really Brings to Multimodal Intelligence?

Qianshan Wei, Yishan Yang, Siyi Wang, Jinglin Chen, Binyu Wang, Jiaming Wang, Shuang Chen, Zechen Li, Yang Shi, Yuqi Tang, Weining Wang, Yi Yu, Chaoyou Fu, Qi Li, Yifan Zhang

CoRR, April, 2026

Time Is All It Takes: Spike-Retiming Attacks on Event-Driven Spiking Neural Networks.

Yi Yu, Qixin Zhang, Shuhan Ye, Xun Lin, Qianshan Wei, Kun Wang, Wenhan Yang, Dacheng Tao, Xudong Jiang

CoRR, February, 2026

Toward Efficient Agents: Memory, Tool learning, and Planning.

Xiaofang Yang, Lijun Li, Heng Zhou, Tong Zhu, Xiaoye Qu, Yuchen Fan, Qianshan Wei, Rui Ye, Li Kang, Yiran Qin, Zhiqiang Kou, Daizong Liu, Qi Li, Ning Ding, Siheng Chen, Jing Shao

CoRR, January, 2026

Forget What Has Seen: Selective Concept Unlearning in Segmentation Foundation Models.

Miaozeng Du, Jiaqi Li, Sirui Pan, Yi Zhan, Guilin Qi, Yuxin Zhang, Rihui Jin, Yinjia Shu, Qianshan Wei

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025

A-MemGuard: A Proactive Defense Framework for LLM-Based Agent Memory.

Qianshan Wei, Tengchao Yang, Yaochen Wang, Xinfeng Li, Lijun Li, Zhenfei Yin, Yi Zhan, Thorsten Holz, Zhiqiang Lin, XiaoFeng Wang

CoRR, October, 2025

Being-M0.5: A Real-Time Controllable Vision-Language-Motion Model.

Bin Cao, Sipeng Zheng, Ye Wang, Lujie Xia, Qianshan Wei, Qin Jin, Jing Liu, Zongqing Lu

CoRR, August, 2025

Dual-Priv Pruning : Efficient Differential Private Fine-Tuning in Multimodal Large Language Models.

Qianshan Wei, Jiaqi Li, Zihan You, Yi Zhan, Kecen Li, Jialin Wu, Xinfeng Li Hengjun Liu, Yi Yu, Bin Cao, Yiwen Xu, Yang Liu, Guilin Qi

CoRR, June, 2025

Scaling Large Motion Models with Million-Level Human Motions.

Ye Wang, Sipeng Zheng, Bin Cao, Qianshan Wei, Weishuai Zeng, Qin Jin, Zongqing Lu

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

MotionCtrl: A Real-Time Controllable Vision-Language-Motion Model.

Bin Cao, Sipeng Zheng, Ye Wang, Lujie Xia, Qianshan Wei, Qin Jin, Jing Liu, Zongqing Lu

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

Forget the Token and Pixel: Rethinking Gradient Ascent for Concept Unlearning in Multimodal Generative Models.

Jiaqi Li, Chuanyi Zhang, Miaozeng Du, Hui Zhang, Yongrui Chen, Qianshan Wei, Junfeng Fang, Ruipeng Wang, Sheng Bi, Guilin Qi

Proceedings of the Findings of the Association for Computational Linguistics, 2025

2024

Quo Vadis, Motion Generation? From Large Language Models to Large Motion Models.

Ye Wang, Sipeng Zheng, Bin Cao, Qianshan Wei, Qin Jin, Zongqing Lu

CoRR, 2024

Single Image Unlearning: Efficient Machine Unlearning in Multimodal Large Language Models.

Jiaqi Li, Qianshan Wei, Chuanyi Zhang, Guilin Qi, Miaozeng Du, Yongrui Chen, Sheng Bi

CoRR, 2024

Single Image Unlearning: Efficient Machine Unlearning in Multimodal Large Language Models.

Jiaqi Li, Qianshan Wei, Chuanyi Zhang, Guilin Qi, Miaozeng Du, Yongrui Chen, Sheng Bi, Fan Liu

Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024