Song Bian - RankMe

23 papers A* 3A 1Journal 16Unranked 3

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Terminal-Bench: Benchmarking Agents on Hard, Realistic Tasks in Command Line Interfaces. CoRR Mike A. Merrill, Alexander Glenn Shaw, Nicholas Carlini, Boxuan Li, Harsh Raj, Ivan Bercovich, Lin Shi, Jeong Yeon Shin, Thomas Walshe, Estefany Kelly Buchanan, Junhong Shen, Guanghao Ye, Haowei Lin, Jason Poulos, Maoyu Wang, Marianna Nezhurina, Jenia Jitsev, Di Lu, Orfeas Menis-Mastromichalakis, Zhiwei Xu, Zizhao Chen, Yue Liu, Robert Zhang, Leon Liangyu Chen, Anurag Kashyap, Jan-Lucas Uslu, Jeffrey Li, Jianbo Wu, Minghao Yan, Song Bian, Vedang Sharma, Ke Sun, Steven Dillmann, Akshay Anand, Andrew Lanpouthakoun, Bardia Koopah, Changran Hu, Etash Kumar Guha, Gabriel H. S. Dreiman, Jiacheng Zhu, Karl Krauth, Li Zhong, Niklas Muennighoff, Robert Amanfu, Shangyin Tan, Shreyas Pimpalgaonkar, Tushar Aggarwal, Xiangning Lin, Xin Lan, Xuandong Zhao, Yiqing Liang, Yuanli Wang, Zilong Wang, Changzhi Zhou, David Heineman, Hange Liu, Harsh Trivedi, John Yang, Junhong Lin, Manish Shetty, Michael Yang, Nabil Omi, Negin Raoof, Shanda Li, Terry Yue Zhuo, Wuwei Lin, Yiwei Dai, Yuxin Wang, Wenhao Chai, Shang Zhou, Dariush Wahdany, Ziyu She, Jiaming Hu, Zhikang Dong, Yuxuan Zhu, Sasha Cui, Ahson Saiyed, Arinbjörn Kolbeinsson, Jesse Hu, Christopher Michael Rytting, Ryan Marten, Yixin Wang, Alex Dimakis, Andy Konwinski, Ludwig Schmidt
2025	—	`conf`	Diamond: Harnessing GPU Resources for Scientific Deep Learning. eScience Haotian Xie, Rohan Marwaha, Minu Mathew, Song Bian, Gengcong Yang, Minghao Yan, Yadu N. Babuji, Owen Price, Yinzhi Wang, Volodymyr V. Kindratenko, Shivaram Venkataraman, Kyle Chard, Ian T. Foster, Zhao Zhang
2025	A*	`conf`	Scaling Inference-Efficient Language Models. ICML Song Bian, Minghao Yan, Shivaram Venkataraman
2025	J	`jnl`	Scaling Inference-Efficient Language Models. CoRR Song Bian, Minghao Yan, Shivaram Venkataraman
2025	J	`jnl`	Scaling Laws Meet Model Architecture: Toward Inference-Efficient LLMs. CoRR Song Bian, Tao Yu, Shivaram Venkataraman, Youngsuk Park
2025	J	`jnl`	Tesserae: Scalable Placement Policies for Deep Learning Workloads. CoRR Song Bian, Saurabh Agarwal, Md. Tareq Mahmood, Shivaram Venkataraman
2025	J	`jnl`	What Limits Agentic Systems Efficiency? CoRR Song Bian, Minghao Yan, Anand Jayarajan, Gennady Pekhimenko, Shivaram Venkataraman
2024	J	`jnl`	Computing in the Era of Large Generative Models: From Cloud-Native to AI-Native. CoRR Yao Lu, Song Bian, Lequn Chen, Yongjun He, Yulong Hui, Matthew Lentz, Beibin Li, Fei Liu, Jialin Li, Qi Liu, Rui Liu, Xiaoxuan Liu, Lin Ma, Kexin Rong, Jianguo Wang, Yingjun Wu, Yongji Wu, Huanchen Zhang, Minjia Zhang, Qizhen Zhang, Tianyi Zhou, Danyang Zhuo
2024	—	`conf`	Does Compressing Activations Help Model Parallel Training? MLSys Song Bian, Dacheng Li, Hongyi Wang, Eric P. Xing, Shivaram Venkataraman
2024	A*	`conf`	Naive Bayes Classifiers over Missing Data: Decision and Poisoning. ICML Song Bian, Xiating Ouyang, Zhiwei Fan, Paraschos Koutris
2023	J	`jnl`	Certifiable Robustness for Naive Bayes Classifiers. CoRR Song Bian, Xiating Ouyang, Zhiwei Fan, Paraschos Koutris
2023	J	`jnl`	Does compressing activations help model parallel training? CoRR Song Bian, Dacheng Li, Hongyi Wang, Eric P. Xing, Shivaram Venkataraman
2023	J	`jnl`	Federated Empirical Risk Minimization via Second-Order Method. CoRR Song Bian, Zhao Song, Junze Yin
2022	J	`jnl`	CrowdTC: Crowd-powered Learning for Text Classification. ACM Trans. Knowl. Discov. Data Keyu Yang, Yunjun Gao, Lei Liang, Song Bian, Lu Chen, Baihua Zheng
2022	A*	`conf`	Finding Top-r Influential Communities under Aggregation Functions. ICDE You Peng, Song Bian, Rui Li, Sibo Wang, Jeffrey Xu Yu
2022	J	`jnl`	Finding Top-r Influential Communities under Aggregation Functions. CoRR You Peng, Song Bian, Rui Li, Sibo Wang, Jeffrey Xu Yu
2021	—	`conf`	DataPrep.EDA: Task-Centric Exploratory Data Analysis for Statistical Modeling in Python. SIGMOD Conference Jinglin Peng, Weiyuan Wu, Brandon Lockhart, Song Bian, Jing Nathan Yan, Linghao Xu, Zhixuan Chi, Jeffrey M. Rzeszotarski, Jiannan Wang
2021	J	`jnl`	DataPrep.EDA: Task-Centric Exploratory Data Analysis for Statistical Modeling in Python. CoRR Jinglin Peng, Weiyuan Wu, Brandon Lockhart, Song Bian, Jing Nathan Yan, Linghao Xu, Zhixuan Chi, Jeffrey M. Rzeszotarski, Jiannan Wang
2020	J	`jnl`	CrowdTSC: Crowd-based Neural Networks for Text Sentiment Classification. CoRR Keyu Yang, Yunjun Gao, Lei Liang, Song Bian, Lu Chen, Baihua Zheng
2020	J	`jnl`	Efficient Algorithms for Budgeted Influence Maximization on Massive Social Networks. Proc. VLDB Endow. Song Bian, Qintian Guo, Sibo Wang, Jeffrey Xu Yu
2019	J	`jnl`	Are Powerful Graph Neural Nets Necessary? A Dissection on Graph Classification. CoRR Ting Chen, Song Bian, Yizhou Sun
2019	A	`conf`	SimGNN: A Neural Network Approach to Fast Graph Similarity Computation. WSDM Yunsheng Bai, Hao Ding, Song Bian, Ting Chen, Yizhou Sun, Wei Wang
2018	J	`jnl`	Graph Edit Distance Computation via Graph Neural Networks. CoRR Yunsheng Bai, Hao Ding, Song Bian, Ting Chen, Yizhou Sun, Wei Wang