Xin Wang

According to our database, Xin Wang authored at least 16 papers between 2023 and 2025.

Collaborative distances:

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

2025

Enhancing Test-Time Scaling of Large Language Models with Hierarchical Retrieval-Augmented MCTS.

Alex ZH Dou, Zhongwei Wan, Dongfei Cui, Xin Wang, Jing Xiong, Haokun Lin, Chaofan Tao, Shen Yan, Mi Zhang

CoRR, July, 2025

Efficient Diffusion Models: A Survey.

Hui Shen, Jingxuan Zhang, Boning Xiong, Rui Hu, Shoufa Chen, Zhongwei Wan, Xin Wang, Yu Zhang, Zixuan Gong, Guangyin Bao, Chaofan Tao, Yongfeng Huang, Ye Yuan, Mi Zhang

Trans. Mach. Learn. Res., 2025

SVD-LLM V2: Optimizing Singular Value Truncation for Large Language Model Compression.

Xin Wang, Samiul Alam, Zhongwei Wan, Hui Shen, Mi Zhang

Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies, 2025

MEDA: Dynamic KV Cache Allocation for Efficient Multimodal Long-Context Inference.

Zhongwei Wan, Hui Shen, Xin Wang, Che Liu, Zheda Mai, Mi Zhang

Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies, 2025

D2O: Dynamic Discriminative Operations for Efficient Long-Context Inference of Large Language Models.

Zhongwei Wan, Xinjian Wu, Yu Zhang, Yi Xin, Chaofan Tao, Zhihong Zhu, Xin Wang, Siqi Luo, Jing Xiong, Longyue Wang, Mi Zhang

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

SVD-LLM: Truncation-aware Singular Value Decomposition for Large Language Model Compression.

Xin Wang, Yu Zheng, Zhongwei Wan, Mi Zhang

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

MEIT: Multimodal Electrocardiogram Instruction Tuning on Large Language Models for Report Generation.

Zhongwei Wan, Che Liu, Xin Wang, Chaofan Tao, Hui Shen, Jing Xiong, Rossella Arcucci, Huaxiu Yao, Mi Zhang

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

2024

Efficient Large Language Models: A Survey.

Zhongwei Wan, Xin Wang, Che Liu, Samiul Alam, Yu Zheng, Jiachen Liu, Zhongnan Qu, Shen Yan, Yi Zhu, Quanlu Zhang, Mosharaf Chowdhury, Mi Zhang

Trans. Mach. Learn. Res., 2024

The Internet of Things in the Era of Generative AI: Vision and Challenges.

Xin Wang, Zhongwei Wan, Arvin Hekmati, Mingyu Zong, Samiul Alam, Mi Zhang, Bhaskar Krishnamachari

IEEE Internet Comput., 2024

D2O: Dynamic Discriminative Operations for Efficient Generative Inference of Large Language Models.

Zhongwei Wan, Xinjian Wu, Yu Zhang, Yi Xin, Chaofan Tao, Zhihong Zhu, Xin Wang, Siqi Luo, Jing Xiong, Mi Zhang

CoRR, 2024

Electrocardiogram Instruction Tuning for Report Generation.

Zhongwei Wan, Che Liu, Xin Wang, Chaofan Tao, Hui Shen, Zhenwu Peng, Jie Fu, Rossella Arcucci, Huaxiu Yao, Mi Zhang

CoRR, 2024

IoT in the Era of Generative AI: Vision and Challenges.

Xin Wang, Zhongwei Wan, Arvin Hekmati, Mingyu Zong, Samiul Alam, Mi Zhang, Bhaskar Krishnamachari

CoRR, 2024

MOStream: A Modular and Self-Optimizing Data Stream Clustering Algorithm.

Zhengru Wang, Xin Wang, Shuhao Zhang

Proceedings of the IEEE International Conference on Data Mining, 2024

Famba-V: Fast Vision Mamba with Cross-Layer Token Fusion.

Hui Shen, Zhongwei Wan, Xin Wang, Mi Zhang

Proceedings of the Computer Vision - ECCV 2024 Workshops, 2024

2023

Data Stream Clustering: An In-depth Empirical Study.

Xin Wang, Zhengru Wang, Zhenyu Wu, Shuhao Zhang, Xuanhua Shi, Li Lu

Proc. ACM Manag. Data, 2023

Benne: A Modular and Self-Optimizing Algorithm for Data Stream Clustering.

Zhengru Wang, Xin Wang, Shuhao Zhang

CoRR, 2023