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Books and Theses
- 2020
[b1]Da Tang:
Unsupervised Representation Learning with Correlations. Columbia University, USA, 2020
Journal Articles
- 2016
- [j2]Wenhua Wu, Jiaguo Feng, Bin Xie, Da Tang, Qianjin Yue, Ribin Xie:
Development and Sensing Properties Study of Underwater Assembled Water Depth-Inclination Sensors for a Multi-Component Mooring System, Using a Self-Contained Technique. Sensors 16(11): 1925 (2016) - 2014
- [j1]Feng Chen, Da Tang, Hongji Yang, Mohammed Alawairdhi:
A precondition-based approach to workflow oriented software re-engineering. Comput. Sci. Inf. Syst. 11(1): 1-27 (2014)
Conference and Workshop Papers
- 2023
- [c14]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:
CowClip: Reducing CTR Prediction Model Training Time from 12 Hours to 10 Minutes on 1 GPU. AAAI 2023: 11390-11398 - 2022
- [c13]Haochen Liu, Joseph Thekinen, Sinem Mollaoglu, Da Tang, Ji Yang, Youlong Cheng, Hui Liu, Jiliang Tang:
Toward Annotator Group Bias in Crowdsourcing. ACL (1) 2022: 1797-1806 - [c12]Zhuoran Liu, Leqi Zou, Xuan Zou, Caihua Wang, Biao Zhang, Da Tang, Bolin Zhu, Yijie Zhu, Peng Wu, Ke Wang, Youlong Cheng:
Monolith: Real Time Recommendation System with Collisionless Embedding Table. ORSUM@RecSys 2022 - [c11]Haochen Liu, Da Tang, Ji Yang, Xiangyu Zhao, Hui Liu, Jiliang Tang, Youlong Cheng:
Rating Distribution Calibration for Selection Bias Mitigation in Recommendations. WWW 2022: 2048-2057 - 2019
- [c10]Da Tang, Dawen Liang, Tony Jebara, Nicholas Ruozzi:
Correlated Variational Auto-Encoders. DGS@ICLR 2019 - [c9]Da Tang, Dawen Liang, Tony Jebara, Nicholas Ruozzi
:
Correlated Variational Auto-Encoders. ICML 2019: 6135-6144 - [c8]Da Tang, Rajesh Ranganath:
The Variational Predictive Natural Gradient. ICML 2019: 6145-6154 - 2018
- [c7]Da Tang, Xiujun Li, Jianfeng Gao, Chong Wang, Lihong Li, Tony Jebara:
Subgoal Discovery for Hierarchical Dialogue Policy Learning. EMNLP 2018: 2298-2309 - [c6]Da Tang, Bei Li, Anqi Lei, Shangyu Huang, Wei Liu, Hanxing Liu:
Computational Studies of Nano-Mechanics of Ultrathin Perfluoropolyether Films. IEEA 2018: 134-137 - [c5]Giannis Karamanolakis, Kevin Raji Cherian, Ananth Ravi Narayan, Jie Yuan, Da Tang, Tony Jebara:
Item Recommendation with Variational Autoencoders and Heterogeneous Priors. DLRS@RecSys 2018: 10-14 - 2017
- [c4]Da Tang, Tony Jebara:
Initialization and Coordinate Optimization for Multi-way Matching. AISTATS 2017: 1385-1393 - 2014
- [c3]Dongmei Wang, Da Tang, Qianjin Yue, Zhongmin Shi, Jiaguo Feng:
A data fusion method for the attitude of the floating production storage and offloading(FPSO) single-point mooring system based on the monitoring data. ICSAI 2014: 987-991 - [c2]Tianlin Shi, Da Tang, Liwen Xu, Thomas Moscibroda:
Correlated Compressive Sensing for Networked Data. UAI 2014: 722-731 - 2011
- [c1]Da Tang, Yu-Jin Zhang:
Combining Mean-Shift and Particle Filter for Object Tracking. ICIG 2011: 771-776
Informal and Other Publications
- 2024
- [i12]Chen Zheng, Ke Sun, Da Tang, Yukun Ma, Yuyu Zhang, Chenguang Xi, Xun Zhou:
ICE-GRT: Instruction Context Enhancement by Generative Reinforcement based Transformers. CoRR abs/2401.02072 (2024) - 2023
- [i11]Zheng Zhang, Chen Zheng, Da Tang, Ke Sun, Yukun Ma, Yingtong Bu, Xun Zhou, Liang Zhao:
Balancing Specialized and General Skills in LLMs: The Impact of Modern Tuning and Data Strategy. CoRR abs/2310.04945 (2023) - 2022
- [i10]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:
CowClip: Reducing CTR Prediction Model Training Time from 12 hours to 10 minutes on 1 GPU. CoRR abs/2204.06240 (2022) - [i9]Zhuoran Liu, Leqi Zou, Xuan Zou, Caihua Wang, Biao Zhang, Da Tang, Bolin Zhu, Yijie Zhu, Peng Wu, Ke Wang, Youlong Cheng:
Monolith: Real Time Recommendation System With Collisionless Embedding Table. CoRR abs/2209.07663 (2022) - 2021
- [i8]Jingxi Xu, Da Tang, Tony Jebara:
Active Multitask Learning with Committees. CoRR abs/2103.13420 (2021) - [i7]Haochen Liu, Joseph Thekinen, Sinem Mollaoglu, Da Tang, Ji Yang, Youlong Cheng, Hui Liu, Jiliang Tang:
Toward Annotator Group Bias in Crowdsourcing. CoRR abs/2110.08038 (2021) - 2019
- [i6]Da Tang, Rajesh Ranganath:
The Variational Predictive Natural Gradient. CoRR abs/1903.02984 (2019) - [i5]Da Tang, Dawen Liang, Tony Jebara, Nicholas Ruozzi:
Correlated Variational Auto-Encoders. CoRR abs/1905.05335 (2019) - [i4]Da Tang, Dawen Liang, Nicholas Ruozzi, Tony Jebara:
Learning Correlated Latent Representations with Adaptive Priors. CoRR abs/1906.06419 (2019) - 2018
- [i3]Da Tang, Xiujun Li, Jianfeng Gao, Chong Wang, Lihong Li, Tony Jebara:
Subgoal Discovery for Hierarchical Dialogue Policy Learning. CoRR abs/1804.07855 (2018) - [i2]Giannis Karamanolakis, Kevin Raji Cherian, Ananth Ravi Narayan, Jie Yuan, Da Tang, Tony Jebara:
Item Recommendation with Variational Autoencoders and Heterogenous Priors. CoRR abs/1807.06651 (2018) - 2016
- [i1]Da Tang, Tony Jebara:
Initialization and Coordinate Optimization for Multi-way Matching. CoRR abs/1611.00838 (2016)
Coauthor Index
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