Tuowei Wang

According to our database, Tuowei Wang authored at least 16 papers between 2022 and 2026.

Collaborative distances:

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

2026

Mosaic: Cross-Modal Clustering for Efficient Video Understanding.

Tuowei Wang, He Zhou, Chengru Song, Qiushi Li, Ju Ren

CoRR, April, 2026

Swarm: Co-Activation Aware KVCache Offloading Across Multiple SSDs.

Tuowei Wang, Liyun Chu, Ruwen Fan, Ju Ren

CoRR, March, 2026

Scaling LLM Test-Time Compute with Mobile NPU on Smartphones.

Zixu Hao, Jianyu Wei, Tuowei Wang, Minxing Huang, Huiqiang Jiang, Shiqi Jiang, Ting Cao, Ju Ren

Proceedings of the 21st European Conference on Computer Systems, 2026

2025

DynaKV: Enabling Accurate and Efficient Long-Sequence LLM Decoding on Smartphones.

Tuowei Wang, Minxing Huang, Fengzu Li, Ligeng Chen, Jinrui Zhang, Ju Ren

CoRR, November, 2025

LeMo: Enabling LEss Token Involvement for MOre Context Fine-tuning.

Tuowei Wang, Xingyu Chen, Kun Li, Ting Cao, Ju Ren, Yaoxue Zhang

CoRR, January, 2025

JENGA: Enhancing LLM Long-Context Fine-tuning with Contextual Token Sparsity.

Tuowei Wang, Xingyu Chen, Kun Li, Ting Cao, Ju Ren, Yaoxue Zhang

Proceedings of the 2025 USENIX Annual Technical Conference, 2025

FedAF: Alignment-Augmented Fusion for Federated Multimodal Learning with Small Labels.

Guanbo Wang, Yongheng Deng, Li Li, Yingjun Wu, Jiaqi Lv, Xinyi Li, Tuowei Wang, Yaoxue Zhang, Ju Ren

Proceedings of the 33rd IEEE/ACM International Symposium on Quality of Service, 2025

Neuralink: Fast on-Device LLM Inference with Neuron Co-Activation Linking.

Tuowei Wang, Ruwen Fan, Minxing Huang, Zixu Hao, Kun Li, Ting Cao, Youyou Lu, Yaoxue Zhang, Ju Ren

Proceedings of the 30th ACM International Conference on Architectural Support for Programming Languages and Operating Systems, 2025

2024

Matryoshka: Optimization of Dynamic Diverse Quantum Chemistry Systems via Elastic Parallelism Transformation.

Tuowei Wang, Kun Li, Donglin Bai, Fusong Ju, Leo Xia, Ting Cao, Ju Ren, Yaoxue Zhang, Mao Yang

CoRR, 2024

Ripple: Accelerating LLM Inference on Smartphones with Correlation-Aware Neuron Management.

Tuowei Wang, Ruwen Fan, Minxing Huang, Zixu Hao, Kun Li, Ting Cao, Youyou Lu, Yaoxue Zhang, Ju Ren

CoRR, 2024

GAuV: A Graph-Based Automated Verification Framework for Perfect Semi-Honest Security of Multiparty Computation Protocols.

Xingyu Xie, Yifei Li, Wei Zhang, Tuowei Wang, Shizhen Xu, Jun Zhu, Yifan Song

Proceedings of the IEEE Symposium on Security and Privacy, 2024

Long Exposure: Accelerating Parameter-Efficient Fine-Tuning for LLMs under Shadowy Sparsity.

Tuowei Wang, Kun Li, Zixu Hao, Donglin Bai, Ju Ren, Yaoxue Zhang, Ting Cao, Mao Yang

Proceedings of the International Conference for High Performance Computing, 2024

2023

Optimizing DNNs With Partially Equivalent Transformations and Automated Corrections.

Haojie Wang, Jidong Zhai, Mingyu Gao, Feng Zhang, Tuowei Wang, Zixuan Ma, Shizhi Tang, Liyan Zheng, Wen Wang, Kaiyuan Rong, Yuanyong Chen, Zhihao Jia

IEEE Trans. Computers, December, 2023

FedINC: An Exemplar-Free Continual Federated Learning Framework with Small Labeled Data.

Yongheng Deng, Sheng Yue, Tuowei Wang, Guanbo Wang, Ju Ren, Yaoxue Zhang

Proceedings of the 21st ACM Conference on Embedded Networked Sensor Systems, 2023

EINNET: Optimizing Tensor Programs with Derivation-Based Transformations.

Liyan Zheng, Haojie Wang, Jidong Zhai, Muyan Hu, Zixuan Ma, Tuowei Wang, Shuhong Huang, Xupeng Miao, Shizhi Tang, Kezhao Huang, Zhihao Jia

Proceedings of the 17th USENIX Symposium on Operating Systems Design and Implementation, 2023

2022

OLLIE: Derivation-based Tensor Program Optimizer.

Liyan Zheng, Haojie Wang, Jidong Zhai, Muyan Hu, Zixuan Ma, Tuowei Wang, Shizhi Tang, Lei Xie, Kezhao Huang, Zhihao Jia

CoRR, 2022