Bangsheng Tang

19 papers A* 5A 1Journal 10Unranked 3
YearRankTypeTitle / Venue / Authors
2025 — conf
Context Parallelism for Scalable Million-Token Inference.
MLSys
Amy Yang, Jingyi Yang, Aya Ibrahim, Xinfeng Xie, Bangsheng Tang, Grigory Sizov, Jongsoo Park, Jianyu Huang
2025 J jnl
Efficient Speculative Decoding for Llama at Scale: Challenges and Solutions.
CoRR
Bangsheng Tang, Carl Chengyan Fu, Fei Kou, Grigory Sizov, Haoci Zhang, Jason Park, Jiawen Liu, Jie You, Qirui Yang, Sachin Mehta, Shengyong Cai, Xiaodong Wang, Xingyu Liu, Yunlu Li, Yanjun Zhou, Wei Wei, Zhiwei Zhao, Zixi Qi, Adolfo Victoria, Aya Ibrahim, Bram Wasti, Changkyu Kim, Daniel Haziza, Fei Sun, Giancarlo Delfin, Emily Guo, Jialin Ouyang, Jaewon Lee, Jianyu Huang, Jeremy Reizenstein, Lu Fang, Quinn Zhu, Ria Verma, Vlad Mihailescu, Xingwen Guo, Yan Cui, Ye Hu, Yejin Lee
2024 J jnl
Context Parallelism for Scalable Million-Token Inference.
CoRR
Amy Yang, Jingyi Yang, Aya Ibrahim, Xinfeng Xie, Bangsheng Tang, Grigory Sizov, Jeremy Reizenstein, Jongsoo Park, Jianyu Huang
2021 J jnl
First-Generation Inference Accelerator Deployment at Facebook.
CoRR
Michael J. Anderson, Benny Chen, Stephen Chen, Summer Deng, Jordan Fix, Michael Gschwind, Aravind Kalaiah, Changkyu Kim, Jaewon Lee, Jason Liang, Haixin Liu, Yinghai Lu, Jack Montgomery, Arun Moorthy, Nadathur Satish, Sam Naghshineh, Avinash Nayak, Jongsoo Park, Chris Petersen, Martin Schatz, Narayanan Sundaram, Bangsheng Tang, Peter Tang, Amy Yang, Jiecao Yu, Hector Yuen, Ying Zhang, Aravind Anbudurai, Vandana Balan, Harsha Bojja, Joe Boyd, Matthew Breitbach, Claudio Caldato, Anna Calvo, Garret Catron, Sneh Chandwani, Panos Christeas, Brad Cottel, Brian Coutinho, Arun Dalli, Abhishek Dhanotia, Oniel Duncan, Roman Dzhabarov, Simon Elmir, Chunli Fu, Wenyin Fu, Michael Fulthorp, Adi Gangidi, Nick Gibson, Sean Gordon, Beatriz Padilla Hernandez, Daniel Ho, Yu-Cheng Huang, Olof Johansson, Shishir Juluri, et al.
2017 A* conf
Variational Deep Embedding: An Unsupervised and Generative Approach to Clustering.
IJCAI
Zhuxi Jiang, Yin Zheng, Huachun Tan, Bangsheng Tang, Hanning Zhou
2016 A* conf
A Neural Autoregressive Approach to Collaborative Filtering.
ICML
Yin Zheng, Bangsheng Tang, Wenkui Ding, Hanning Zhou
2016 J jnl
A Neural Autoregressive Approach to Collaborative Filtering.
CoRR
Yin Zheng, Bangsheng Tang, Wenkui Ding, Hanning Zhou
2016 — conf
Neural Autoregressive Collaborative Filtering for Implicit Feedback.
DLRS@RecSys
Yin Zheng, Cailiang Liu, Bangsheng Tang, Hanning Zhou
2016 J jnl
Neural Autoregressive Collaborative Filtering for Implicit Feedback.
CoRR
Yin Zheng, Cailiang Liu, Bangsheng Tang, Hanning Zhou
2016 J jnl
Variational Deep Embedding: A Generative Approach to Clustering.
CoRR
Zhuxi Jiang, Yin Zheng, Huachun Tan, Bangsheng Tang, Hanning Zhou
2015 A* conf
On the Balance of Meter Deployment Cost and NILM Accuracy.
IJCAI
Xiaohong Hao, Bangsheng Tang, Yongcai Wang
2014 J jnl
Width-Parametrized SAT: Time--Space Tradeoffs.
Theory Comput.
Eric Allender, Shiteng Chen, Tiancheng Lou, Periklis A. Papakonstantinou, Bangsheng Tang
2013 A* conf
Exponential Lower Bounds for the PPSZ
SODA
Dominik Scheder, Bangsheng Tang, Shiteng Chen, Navid Talebanfard
2013 A* conf
Some trade-off results for polynomial calculus: extended abstract.
STOC
Chris Beck, Jakob Nordström, Bangsheng Tang
2012 J jnl
On Isomorphism Testing of Groups with Normal Hall Subgroups.
J. Comput. Sci. Technol.
Youming Qiao, Jayalal Sarma, Bangsheng Tang
2012 — conf
Some Remarks on the Incompressibility of Width-Parameterized SAT Instances.
FAW-AAIM
Bangsheng Tang
2012 J jnl
Time-space tradeoffs for width-parameterized SAT: Algorithms and lower bounds.
Electron. Colloquium Comput. Complex.
Eric Allender, Shiteng Chen, Tiancheng Lou, Periklis A. Papakonstantinou, Bangsheng Tang
2011 A conf
On Isomorphism Testing of Groups with Normal Hall Subgroups.
STACS
Youming Qiao, Jayalal Sarma, Bangsheng Tang
2011 J jnl
Width-parameterized SAT: Time-Space Tradeoffs
CoRR
Shiteng Chen, Tiancheng Lou, Periklis A. Papakonstantinou, Bangsheng Tang