Lou, Qian

20 publications

TMLR 2026 ToMoE: Converting Dense Large Language Models to Mixture-of-Experts Through Dynamic Structural Pruning Shangqian Gao, Ting Hua, Reza Shirkavand, Chi-Heng Lin, Zheng Tang, Zhengao Li, Longge Yuan, Fangyi Li, Zeyu Zhang, Alireza Ganjdanesh, Qian Lou, Jie Xu, Yen-Chang Hsu
ICLR 2025 CipherPrune: Efficient and Scalable Private Transformer Inference Yancheng Zhang, Jiaqi Xue, Mengxin Zheng, Mimi Xie, Mingzhe Zhang, Lei Jiang, Qian Lou
NeurIPS 2025 DictPFL: Efficient and Private Federated Learning on Encrypted Gradients Jiaqi Xue, Mayank Kumar, Yuzhang Shang, Shangqian Gao, Rui Ning, Mengxin Zheng, Xiaoqian Jiang, Qian Lou
NeurIPS 2024 HEPrune: Fast Private Training of Deep Neural Networks with Encrypted Data Pruning Yancheng Zhang, Mengxin Zheng, Yuzhang Shang, Xun Chen, Qian Lou
ECCV 2024 SSL-Cleanse: Trojan Detection and Mitigation in Self-Supervised Learning Mengxin Zheng, Jiaqi Xue, Zihao Wang, Xun Chen, Qian Lou, Lei Jiang, Xiaofeng Wang
ECCV 2024 WBP: Training-Time Backdoor Attacks Through Hardware-Based Weight Bit Poisoning Kunbei Cai, Zhenkai Zhang, Qian Lou, Fan Yao
NeurIPS 2023 TrojLLM: A Black-Box Trojan Prompt Attack on Large Language Models Jiaqi Xue, Mengxin Zheng, Ting Hua, Yilin Shen, Yepeng Liu, Ladislau Bölöni, Qian Lou
ICLR 2023 TrojText: Test-Time Invisible Textual Trojan Insertion Qian Lou, Yepeng Liu, Bo Feng
CVPR 2023 TrojViT: Trojan Insertion in Vision Transformers Mengxin Zheng, Qian Lou, Lei Jiang
ICLR 2022 DictFormer: Tiny Transformer with Shared Dictionary Qian Lou, Ting Hua, Yen-Chang Hsu, Yilin Shen, Hongxia Jin
ICLR 2022 Language Model Compression with Weighted Low-Rank Factorization Yen-Chang Hsu, Ting Hua, Sungen Chang, Qian Lou, Yilin Shen, Hongxia Jin
CVPR 2022 Lite-MDETR: A Lightweight Multi-Modal Detector Qian Lou, Yen-Chang Hsu, Burak Uzkent, Ting Hua, Yilin Shen, Hongxia Jin
IJCAI 2021 Automatic Mixed-Precision Quantization Search of BERT Changsheng Zhao, Ting Hua, Yilin Shen, Qian Lou, Hongxia Jin
ICML 2021 HEMET: A Homomorphic-Encryption-Friendly Privacy-Preserving Mobile Neural Network Architecture Qian Lou, Lei Jiang
ICLR 2021 SAFENet: A Secure, Accurate and Fast Neural Network Inference Qian Lou, Yilin Shen, Hongxia Jin, Lei Jiang
NeurIPS 2020 AutoPrivacy: Automated Layer-Wise Parameter Selection for Secure Neural Network Inference Qian Lou, Song Bian, Lei Jiang
ICLR 2020 AutoQ: Automated Kernel-Wise Neural Network Quantization Qian Lou, Feng Guo, Lantao Liu, Minje Kim, Lei Jiang
NeurIPS 2020 Falcon: Fast Spectral Inference on Encrypted Data Qian Lou, Wen-jie Lu, Cheng Hong, Lei Jiang
NeurIPS 2020 Glyph: Fast and Accurately Training Deep Neural Networks on Encrypted Data Qian Lou, Bo Feng, Geoffrey Charles Fox, Lei Jiang
NeurIPS 2019 SHE: A Fast and Accurate Deep Neural Network for Encrypted Data Qian Lou, Lei Jiang