Combining Mean-Shift and Particle Filter for Object Tracking. - Da Tang; Yu-Jin Zhang (ICIG, 2011)

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 (ICSAI, 2014)

Correlated Compressive Sensing for Networked Data. - Tianlin Shi; Da Tang; Liwen Xu; Thomas Moscibroda (UAI, 2014)

A precondition-based approach to workflow oriented software re-engineering. - Feng Chen 004; Da Tang; Hongji Yang; Mohammed Alawairdhi (Comput. Sci. Inf. Syst., 2014)

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)

Initialization and Coordinate Optimization for Multi-way Matching. - Da Tang; Tony Jebara (AISTATS, 2017)

Subgoal Discovery for Hierarchical Dialogue Policy Learning. - Da Tang; Xiujun Li; Jianfeng Gao 001; Chong Wang 002; Lihong Li 001; Tony Jebara (EMNLP, 2018)

Computational Studies of Nano-Mechanics of Ultrathin Perfluoropolyether Films. - Da Tang; Bei Li; Anqi Lei; Shangyu Huang; Wei Liu; Hanxing Liu (IEEA, 2018)

Item Recommendation with Variational Autoencoders and Heterogeneous Priors. - Giannis Karamanolakis; Kevin Raji Cherian; Ananth Ravi Narayan; Jie Yuan; Da Tang; Tony Jebara (DLRS@RecSys, 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)

Correlated Variational Auto-Encoders. - Da Tang; Dawen Liang; Tony Jebara; Nicholas Ruozzi (ICML, 2019)

The Variational Predictive Natural Gradient. - Da Tang; Rajesh Ranganath (ICML, 2019)

Learning Correlated Latent Representations with Adaptive Priors. - Da Tang; Dawen Liang; Nicholas Ruozzi; Tony Jebara (CoRR, 2019)

Unsupervised Representation Learning with Correlations. - Da Tang (2020)

Active Multitask Learning with Committees. - Jingxi Xu 002; Da Tang; Tony Jebara (CoRR, 2021)

Toward Annotator Group Bias in Crowdsourcing. - Haochen Liu; Joseph Thekinen; Sinem Mollaoglu; Da Tang; Ji Yang; Youlong Cheng; Hui Liu 031; Jiliang Tang (ACL (1), 2022)

Monolith: Real Time Recommendation System with Collisionless Embedding Table. - Zhuoran Liu 004; Leqi Zou; Xuan Zou; Caihua Wang; Biao Zhang; Da Tang; Bolin Zhu; Yijie Zhu; Peng Wu; Ke Wang; Youlong Cheng (ORSUM@RecSys, 2022)

Rating Distribution Calibration for Selection Bias Mitigation in Recommendations. - Haochen Liu; Da Tang; Ji Yang; Xiangyu Zhao 001; Hui Liu 031; Jiliang Tang; Youlong Cheng (WWW, 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 026; Chenguang Xi; Peng Wu; Leqi Zou; Yijie Zhu; Ming Chen; Xiangzhuo Ding; Fuzhao Xue; et al. (CoRR, 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 026; Chenguang Xi; Peng Wu; Leqi Zou; Yijie Zhu; Ming Chen; Xiangzhuo Ding; Fuzhao Xue; et al. (AAAI, 2023)

Balancing Specialized and General Skills in LLMs: The Impact of Modern Tuning and Data Strategy. - Zheng Zhang 047; Chen Zheng; Da Tang; Ke Sun; Yukun Ma; Yingtong Bu; Xun Zhou 001; Liang Zhao 002 (CoRR, 2023)

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)