Graph Edit Distance Computation via Graph Neural Networks. - Yunsheng Bai; Hao Ding 003; Song Bian 002; Ting Chen 007; Yizhou Sun; Wei Wang 010 (CoRR, 2018)

SimGNN: A Neural Network Approach to Fast Graph Similarity Computation. - Yunsheng Bai; Hao Ding 003; Song Bian 002; Ting Chen 007; Yizhou Sun; Wei Wang 010 (WSDM, 2019)

Are Powerful Graph Neural Nets Necessary? A Dissection on Graph Classification. - Ting Chen 007; Song Bian 002; Yizhou Sun (CoRR, 2019)

CrowdTSC: Crowd-based Neural Networks for Text Sentiment Classification. - Keyu Yang; Yunjun Gao; Lei Liang; Song Bian 002; Lu Chen 001; Baihua Zheng (CoRR, 2020)

Efficient Algorithms for Budgeted Influence Maximization on Massive Social Networks. - Song Bian 002; Qintian Guo; Sibo Wang 001; Jeffrey Xu Yu (Proc. VLDB Endow., 2020)

DataPrep.EDA: Task-Centric Exploratory Data Analysis for Statistical Modeling in Python. - Jinglin Peng; Weiyuan Wu; Brandon Lockhart; Song Bian 002; Jing Nathan Yan; Linghao Xu; Zhixuan Chi; Jeffrey M. Rzeszotarski; Jiannan Wang 001 (SIGMOD Conference, 2021)

Finding Top-r Influential Communities under Aggregation Functions. - You Peng; Song Bian 002; Rui Li; Sibo Wang 001; Jeffrey Xu Yu (ICDE, 2022)

CrowdTC: Crowd-powered Learning for Text Classification. - Keyu Yang; Yunjun Gao; Lei Liang; Song Bian 002; Lu Chen 001; Baihua Zheng (ACM Trans. Knowl. Discov. Data, 2022)

Certifiable Robustness for Naive Bayes Classifiers. - Song Bian 002; Xiating Ouyang; Zhiwei Fan; Paraschos Koutris (CoRR, 2023)

Federated Empirical Risk Minimization via Second-Order Method. - Song Bian 002; Zhao Song 002; Junze Yin (CoRR, 2023)

Naive Bayes Classifiers over Missing Data: Decision and Poisoning. - Song Bian 002; Xiating Ouyang; Zhiwei Fan; Paraschos Koutris (ICML, 2024)

Does Compressing Activations Help Model Parallel Training? - Song Bian 002; Dacheng Li; Hongyi Wang 001; Eric P. Xing; Shivaram Venkataraman (MLSys, 2024)

Computing in the Era of Large Generative Models: From Cloud-Native to AI-Native. - Yao Lu; Song Bian 002; Lequn Chen 001; Yongjun He 004; Yulong Hui; Matthew Lentz; Beibin Li; Fei Liu; Jialin Li 001; Qi Liu; Rui Liu; Xiaoxuan Liu; et al. (CoRR, 2024)

Scaling Inference-Efficient Language Models. - Song Bian 002; Minghao Yan; Shivaram Venkataraman (CoRR, 2025)

Tesserae: Scalable Placement Policies for Deep Learning Workloads. - Song Bian 002; Saurabh Agarwal; Md. Tareq Mahmood; Shivaram Venkataraman (CoRR, 2025)