| 2026 | EuroCrypt | High-precision Functional Bootstrapping for CKKS from Fourier Extension. | Song Bian, Yunhao Fu, Ruiyu Shen, Haowen Pan, Anyu Wang, Zhenyu Guan |
| 2026 | ISCAS | MOTA: Mapping and Optimization of ASIC-Accelerated TFHE Transciphering. | Ran Mao, Zhenyu Guan, Song Bian |
| 2026 | KSEM | TeSLIA: A Practical Label Inference Attack in Two-Party Split Learning for Text Classification. | Lixin Zhang, Jiaqi Hu, Xinyan Gao, Song Bian, Zhenyu Guan |
| 2026 | NDSS | cwPSU: Efficient Unbalanced Private Set Union via Constant-weight Codes. | Qingwen Li, Song Bian, Hui Li |
| 2026 | NDSS | Kangaroo: A Private and Amortized Inference Framework over WAN for Large-Scale Decision Tree Evaluation. | Wei Xu, Hui Zhu, Yandong Zheng, Song Bian, Ning Sun, Hao Yuan, Dengguo Feng, Hui Li |
| 2025 | CCS | Realizing Corrupted-Shard Tolerance: A Sharding Blockchain with Preserving Global Resilience. | Yizhong Liu, Andi Liu, Zhuocheng Pan, Yuxuan Hu, Jianwei Liu, Song Bian, Yuan Lu, Zhenyu Guan, Dawei Li, Meikang Qiu |
| 2025 | ICML | Scaling Inference-Efficient Language Models. | Song Bian, Minghao Yan, Shivaram Venkataraman |
| 2025 | NDSS | Kronos: A Secure and Generic Sharding Blockchain Consensus with Optimized Overhead. | Yizhong Liu, Andi Liu, Yuan Lu, Zhuocheng Pan, Yinuo Li, Jianwei Liu, Song Bian, Mauro Conti |
| 2025 | SP | CHLOE: Loop Transformation over Fully Homomorphic Encryption via Multi-Level Vectorization and Control-Path Reduction. | Song Bian, Zian Zhao, Ruiyu Shen, Zhou Zhang, Ran Mao, Dawei Li, Yizhong Liu, Masaki Waga, Kohei Suenaga, Zhenyu Guan, Jiafeng Hua, Yier Jin, Jianwei Liu |
| 2024 | ASPDAC | HOGE: Homomorphic Gate on An FPGA. | Kotaro Matsuoka, Song Bian, Takashi Sato |
| 2024 | CCS | ArcEDB: An Arbitrary-Precision Encrypted Database via (Amortized) Modular Homomorphic Encryption. | Zhou Zhang, Song Bian, Zian Zhao, Ran Mao, Haoyi Zhou, Jiafeng Hua, Yier Jin, Zhenyu Guan |
| 2024 | DAC | Alchemist: A Unified Accelerator Architecture for Cross-Scheme Fully Homomorphic Encryption. | Jianan Mu, Husheng Han, Shangyi Shi, Jing Ye, Zizhen Liu, Shengwen Liang, Meng Li, Mingzhe Zhang, Song Bian, Xing Hu, Huawei Li, Xiaowei Li |
| 2024 | DAC | PPGNN: Fast and Accurate Privacy-Preserving Graph Neural Network Inference via Parallel and Pipelined Arithmetic-and-Logic FHE Accelerator. | Yuntao Wei, Xueyan Wang, Song Bian, Yicheng Huang, Weisheng Zhao, Yier Jin |
| 2024 | DATE | ESC-NTT: An Elastic, Seamless and Compact Architecture for Multi-Parameter NTT Acceleration. | Zhenyu Guan, Yongqing Zhu, Yicheng Huang, Luchang Lei, Xueyan Wang, Hongyang Jia, Yi Chen, Bo Zhang, Jin Dong, Song Bian |
| 2024 | ICML | Naive Bayes Classifiers over Missing Data: Decision and Poisoning. | Song Bian, Xiating Ouyang, Zhiwei Fan, Paraschos Koutris |
| 2024 | NDSS | HEIR: A Unified Representation for Cross-Scheme Compilation of Fully Homomorphic Computation. | Song Bian, Zian Zhao, Zhou Zhang, Ran Mao, Kohei Suenaga, Yier Jin, Zhenyu Guan, Jianwei Liu |
| 2024 | RV | Oblivious Monitoring for Discrete-Time STL via Fully Homomorphic Encryption. | Masaki Waga, Kotaro Matsuoka, Takashi Suwa, Naoki Matsumoto, Ryotaro Banno, Song Bian, Kohei Suenaga |
| 2023 | CCS | HE3DB: An Efficient and Elastic Encrypted Database Via Arithmetic-And-Logic Fully Homomorphic Encryption. | Song Bian, Zhou Zhang, Haowen Pan, Ran Mao, Zian Zhao, Yier Jin, Zhenyu Guan |
| 2023 | DAC | PIMA-LPN: Processing-in-memory Acceleration for Efficient LPN-based Post-Quantum Cryptography. | Lin Ding, Song Bian, Jiliang Zhang |
| 2023 | ICCAD | THE-V: Verifiable Privacy-Preserving Neural Network via Trusted Homomorphic Execution. | Yuntao Wei, Xueyan Wang, Song Bian, Weisheng Zhao, Yier Jin |
| 2023 | IJCNN | On Hyperdimensional Computing-based Federated Learning: A Case Study. | Sizhe Zhang, Dongning Ma, Song Bian, Lei Yang, Xun Jiao |
| 2022 | CAV | Oblivious Online Monitoring for Safety LTL Specification via Fully Homomorphic Encryption. | Ryotaro Banno, Kotaro Matsuoka, Naoki Matsumoto, Song Bian, Masaki Waga, Kohei Suenaga |
| 2022 | ICDE | Finding Top-r Influential Communities under Aggregation Functions. | You Peng, Song Bian, Rui Li, Sibo Wang, Jeffrey Xu Yu |
| 2021 | CCS | Towards Better Standard Cell Library: Optimizing Compound Logic Gates for TFHE. | Kotaro Matsuoka, Yusuke Hoshizuki, Takashi Sato, Song Bian |
| 2021 | DAC | Privacy-Preserving Medical Image Segmentation via Hybrid Trusted Execution Environment. | Song Bian, Weiwen Jiang, Takashi Sato |
| 2021 | ISCAS | Automatic Parallelism Tuning for Module Learning with Errors Based Post-Quantum Key Exchanges on GPUs. | Tatsuki Ono, Song Bian, Takashi Sato |
| 2021 | ISCAS | Clonable PUF: on the Design of PUFs That Share Equivalent Responses. | Takashi Sato, Yuki Tanaka, Song Bian |
| 2021 | SIGMOD | DataPrep.EDA: Task-Centric Exploratory Data Analysis for Statistical Modeling in Python. | Jinglin Peng, Weiyuan Wu, Brandon Lockhart, Song Bian, Jing Nathan Yan, Linghao Xu, Zhixuan Chi, Jeffrey M. Rzeszotarski, Jiannan Wang |
| 2020 | ASPDAC | A Tuning-Free Hardware Reservoir Based on MOSFET Crossbar Array for Practical Echo State Network Implementation. | Yuki Kume, Song Bian, Takashi Sato |
| 2020 | CVPR | ENSEI: Efficient Secure Inference via Frequency-Domain Homomorphic Convolution for Privacy-Preserving Visual Recognition. | Song Bian, Tianchen Wang, Masayuki Hiromoto, Yiyu Shi, Takashi Sato |
| 2020 | DAC | Clustering Approach for Solving Traveling Salesman Problems via Ising Model Based Solver. | Akira Dan, Riu Shimizu, Takeshi Nishikawa, Song Bian, Takashi Sato |
| 2020 | ECAI | NASS: Optimizing Secure Inference via Neural Architecture Search. | Song Bian, Weiwen Jiang, Qing Lu, Yiyu Shi, Takashi Sato |
| 2020 | ISCAS | AxMM: Area and Power Efficient Approximate Modular Multiplier for R-LWE Cryptosystem. | Dur-e-Shahwar Kundi, Song Bian, Ayesha Khalid, Chenghua Wang, Mire O'Neill, Weiqiang Liu |
| 2020 | MICCAI | BUNET: Blind Medical Image Segmentation Based on Secure UNET. | Song Bian, Xiaowei Xu, Weiwen Jiang, Yiyu Shi, Takashi Sato |
| 2019 | ASPDAC | Towards practical homomorphic email filtering: a hardware-accelerated secure nave bayesian filter. | Song Bian, Masayuki Hiromoto, Takashi Sato |
| 2019 | DAC | Filianore: Better Multiplier Architectures for LWE-based Post-Quantum Key Exchange. | Song Bian, Masayuki Hiromoto, Takashi Sato |
| 2019 | DATE | DArL: Dynamic Parameter Adjustment for LWE-based Secure Inference. | Song Bian, Masayuki Hiromoto, Takashi Sato |
| 2019 | WSDM | SimGNN: A Neural Network Approach to Fast Graph Similarity Computation. | Yunsheng Bai, Hao Ding, Song Bian, Ting Chen, Yizhou Sun, Wei Wang |
| 2018 | ASPDAC | Efficient worst-case timing analysis of critical-path delay under workload-dependent aging degradation. | Shumpei Morita, Song Bian, Michihiro Shintani, Masayuki Hiromoto, Takashi Sato |
| 2018 | DAC | DWE: decrypting learning with errors with errors. | Song Bian, Masayuki Hiromoto, Takashi Sato |
| 2017 | DAC | LSTA: Learning-Based Static Timing Analysis for High-Dimensional Correlated On-Chip Variations. | Song Bian, Michihiro Shintani, Masayuki Hiromoto, Takashi Sato |
| 2017 | DATE | SCAM: Secured content addressable memory based on homomorphic encryption. | Song Bian, Masayuki Hiromoto, Takashi Sato |