Da Tang

According to our database, Da Tang authored at least 22 papers between 2011 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

ICE-GRT: Instruction Context Enhancement by Generative Reinforcement based Transformers.

Chen Zheng, Ke Sun, Da Tang, Yukun Ma, Yuyu Zhang, Chenguang Xi, Xun Zhou

CoRR, 2024

2023

Balancing Specialized and General Skills in LLMs: The Impact of Modern Tuning and Data Strategy.

Zheng Zhang, Chen Zheng, Da Tang, Ke Sun, Yukun Ma, Yingtong Bu, Xun Zhou, Liang Zhao

CoRR, 2023

CowClip: Reducing CTR Prediction Model Training Time from 12 Hours to 10 Minutes on 1 GPU.

Zangwei Zheng, Pengtai Xu, Xuan Zou, Da Tang, Zhen Li, Chenguang Xi, Peng Wu, Leqi Zou, Yijie Zhu, Ming Chen, Xiangzhuo Ding, Fuzhao Xue, Ziheng Qin, Youlong Cheng, Yang You

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

CowClip: Reducing CTR Prediction Model Training Time from 12 hours to 10 minutes on 1 GPU.

Zangwei Zheng, Pengtai Xu, Xuan Zou, Da Tang, Zhen Li, Chenguang Xi, Peng Wu, Leqi Zou, Yijie Zhu, Ming Chen, Xiangzhuo Ding, Fuzhao Xue, Ziheng Qing, Youlong Cheng, Yang You

CoRR, 2022

Rating Distribution Calibration for Selection Bias Mitigation in Recommendations.

Haochen Liu, Da Tang, Ji Yang, Xiangyu Zhao, Hui Liu, Jiliang Tang, Youlong Cheng

Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 2022

Monolith: Real Time Recommendation System with Collisionless Embedding Table.

Zhuoran Liu, Leqi Zou, Xuan Zou, Caihua Wang, Biao Zhang, Da Tang, Bolin Zhu, Yijie Zhu, Peng Wu, Ke Wang, Youlong Cheng

Proceedings of the 5th Workshop on Online Recommender Systems and User Modeling co-located with the 16th ACM Conference on Recommender Systems, 2022

Toward Annotator Group Bias in Crowdsourcing.

Haochen Liu, Joseph Thekinen, Sinem Mollaoglu, Da Tang, Ji Yang, Youlong Cheng, Hui Liu, Jiliang Tang

Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

2021

Active Multitask Learning with Committees.

Jingxi Xu, Da Tang, Tony Jebara

CoRR, 2021

2020

Unsupervised Representation Learning with Correlations.

Da Tang

PhD thesis, 2020

2019

Learning Correlated Latent Representations with Adaptive Priors.

Da Tang, Dawen Liang, Nicholas Ruozzi, Tony Jebara

CoRR, 2019

The Variational Predictive Natural Gradient.

Da Tang, Rajesh Ranganath

Proceedings of the 36th International Conference on Machine Learning, 2019

Correlated Variational Auto-Encoders.

Da Tang, Dawen Liang, Tony Jebara, Nicholas Ruozzi

Proceedings of the Deep Generative Models for Highly Structured Data, 2019

2018

Item Recommendation with Variational Autoencoders and Heterogenous Priors.

Giannis Karamanolakis, Kevin Raji Cherian, Ananth Ravi Narayan, Jie Yuan, Da Tang, Tony Jebara

CoRR, 2018

Item Recommendation with Variational Autoencoders and Heterogeneous Priors.

Giannis Karamanolakis, Kevin Raji Cherian, Ananth Ravi Narayan, Jie Yuan, Da Tang, Tony Jebara

Proceedings of the 3rd Workshop on Deep Learning for Recommender Systems, 2018

Computational Studies of Nano-Mechanics of Ultrathin Perfluoropolyether Films.

Da Tang, Bei Li, Anqi Lei, Shangyu Huang, Wei Liu, Hanxing Liu

Proceedings of the 7th International Conference on Informatics, 2018

Subgoal Discovery for Hierarchical Dialogue Policy Learning.

Da Tang, Xiujun Li, Jianfeng Gao, Chong Wang, Lihong Li, Tony Jebara

Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31, 2018

2017

Initialization and Coordinate Optimization for Multi-way Matching.

Da Tang, Tony Jebara

Proceedings of the 20th International Conference on Artificial Intelligence and Statistics, 2017

2016

Development and Sensing Properties Study of Underwater Assembled Water Depth-Inclination Sensors for a Multi-Component Mooring System, Using a Self-Contained Technique.

Wenhua Wu, Jiaguo Feng, Bin Xie, Da Tang, Qianjin Yue, Ribin Xie

Sensors, 2016

2014

A precondition-based approach to workflow oriented software re-engineering.

Feng Chen, Da Tang, Hongji Yang, Mohammed Alawairdhi

Comput. Sci. Inf. Syst., 2014

Correlated Compressive Sensing for Networked Data.

Tianlin Shi, Da Tang, Liwen Xu, Thomas Moscibroda

Proceedings of the Thirtieth Conference on Uncertainty in Artificial Intelligence, 2014

A data fusion method for the attitude of the floating production storage and offloading(FPSO) single-point mooring system based on the monitoring data.

Dongmei Wang, Da Tang, Qianjin Yue, Zhongmin Shi, Jiaguo Feng

Proceedings of the 2nd International Conference on Systems and Informatics, 2014

2011

Combining Mean-Shift and Particle Filter for Object Tracking.

Da Tang, Yu-Jin Zhang

Proceedings of the Sixth International Conference on Image and Graphics, 2011