OLLIE: Derivation-based Tensor Program Optimizer. - Liyan Zheng 001; Haojie Wang; Jidong Zhai; Muyan Hu; Zixuan Ma; Tuowei Wang; Shizhi Tang; Lei Xie; Kezhao Huang; Zhihao Jia (CoRR, 2022)

EINNET: Optimizing Tensor Programs with Derivation-Based Transformations. - Liyan Zheng 001; Haojie Wang; Jidong Zhai; Muyan Hu; Zixuan Ma; Tuowei Wang; Shuhong Huang; Xupeng Miao; Shizhi Tang; Kezhao Huang; Zhihao Jia (OSDI, 2023)

FedINC: An Exemplar-Free Continual Federated Learning Framework with Small Labeled Data. - Yongheng Deng; Sheng Yue; Tuowei Wang; Guanbo Wang; Ju Ren 001; Yaoxue Zhang (SenSys, 2023)

Optimizing DNNs With Partially Equivalent Transformations and Automated Corrections. - Haojie Wang; Jidong Zhai; Mingyu Gao 001; Feng Zhang 007; Tuowei Wang; Zixuan Ma; Shizhi Tang; Liyan Zheng 001; Wen Wang; Kaiyuan Rong; Yuanyong Chen; Zhihao Jia (IEEE Trans. Computers, 2023)

Long Exposure: Accelerating Parameter-Efficient Fine-Tuning for LLMs under Shadowy Sparsity. - Tuowei Wang; Kun Li; Zixu Hao; Donglin Bai; Ju Ren 001; Yaoxue Zhang; Ting Cao; Mao Yang 004 (SC, 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 001 (CoRR, 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 001; Yaoxue Zhang; Mao Yang 004 (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 (IACR Cryptol. ePrint Arch., 2024)

JENGA: Enhancing LLM Long-Context Fine-tuning with Contextual Token Sparsity. - Tuowei Wang; Xingyu Chen; Kun Li; Ting Cao; Ju Ren 001; Yaoxue Zhang (USENIX ATC, 2025)

LeMo: Enabling LEss Token Involvement for MOre Context Fine-tuning. - Tuowei Wang; Xingyu Chen; Kun Li; Ting Cao; Ju Ren 001; Yaoxue Zhang (CoRR, 2025)