Daxiang Dong

According to our database, Daxiang Dong authored at least 17 papers between 2011 and 2024.

Collaborative distances:

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

2024

Warming Up Cold-Start CTR Prediction by Learning Item-Specific Feature Interactions.

Yaqing Wang, Hongming Piao, Daxiang Dong, Quanming Yao, Jingbo Zhou

Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

2023

Large-scale knowledge distillation with elastic heterogeneous computing resources.

Ji Liu, Daxiang Dong, Xi Wang, An Qin, Xingjian Li, Patrick Valduriez, Dejing Dou, Dianhai Yu

Concurr. Comput. Pract. Exp., 2023

ColdNAS: Search to Modulate for User Cold-Start Recommendation.

Shiguang Wu, Yaqing Wang, Qinghe Jing, Daxiang Dong, Dejing Dou, Quanming Yao

Proceedings of the ACM Web Conference 2023, 2023

FT-topo: Architecture-Driven Folded-Triangle Partitioning for Communication-efficient Graph Processing.

Xinbiao Gan, Guang Wu, Ruigeng Zeng, Jiaqi Si, Ji Liu, Daxiang Dong, Chunye Gong, Cong Liu, Tiejun Li

Proceedings of the 37th International Conference on Supercomputing, 2023

2021

RocketQA: An Optimized Training Approach to Dense Passage Retrieval for Open-Domain Question Answering.

Yingqi Qu, Yuchen Ding, Jing Liu, Kai Liu, Ruiyang Ren, Wayne Xin Zhao, Daxiang Dong, Hua Wu, Haifeng Wang

Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021

JIZHI: A Fast and Cost-Effective Model-As-A-Service System for Web-Scale Online Inference at Baidu.

Hao Liu, Qian Gao, Jiang Li, Xiaochao Liao, Hao Xiong, Guangxing Chen, Wenlin Wang, Guobao Yang, Zhiwei Zha, Daxiang Dong, Dejing Dou, Haoyi Xiong

Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

Elastic Deep Learning Using Knowledge Distillation with Heterogeneous Computing Resources.

Daxiang Dong, Ji Liu, Xi Wang, Weibao Gong, An Qin, Xingjian Li, Dianhai Yu, Patrick Valduriez, Dejing Dou

Proceedings of the Euro-Par 2021: Parallel Processing Workshops, 2021

2019

Learning to Recommend via Meta Parameter Partition.

Liang Zhao, Yang Wang, Daxiang Dong, Hao Tian

CoRR, 2019

Taxonomy-Aware Multi-Hop Reasoning Networks for Sequential Recommendation.

Jin Huang, Zhaochun Ren, Wayne Xin Zhao, Gaole He, Ji-Rong Wen, Daxiang Dong

Proceedings of the Twelfth ACM International Conference on Web Search and Data Mining, 2019

Neural Network Based Popularity Prediction by Linking Online Content with Knowledge Bases.

Wayne Xin Zhao, Hongjian Dou, Yuanpei Zhao, Daxiang Dong, Ji-Rong Wen

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2019

2018

A New Method of Region Embedding for Text Classification.

Chao Qiao, Bo Huang, Guocheng Niu, Daren Li, Daxiang Dong, Wei He, Dianhai Yu, Hua Wu

Proceedings of the 6th International Conference on Learning Representations, 2018

Multi-Turn Response Selection for Chatbots with Deep Attention Matching Network.

Xiangyang Zhou, Lu Li, Daxiang Dong, Yi Liu, Ying Chen, Wayne Xin Zhao, Dianhai Yu, Hua Wu

Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics, 2018

2016

Multi-view Response Selection for Human-Computer Conversation.

Xiangyang Zhou, Daxiang Dong, Hua Wu, Shiqi Zhao, Dianhai Yu, Hao Tian, Xuan Liu, Rui Yan

Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing, 2016

2015

Multi-Task Learning for Multiple Language Translation.

Daxiang Dong, Hua Wu, Wei He, Dianhai Yu, Haifeng Wang

Proceedings of the 53rd Annual Meeting of the Association for Computational Linguistics and the 7th International Joint Conference on Natural Language Processing of the Asian Federation of Natural Language Processing, 2015

2014

Improve Statistical Machine Translation with Context-Sensitive Bilingual Semantic Embedding Model.

Haiyang Wu, Daxiang Dong, Xiaoguang Hu, Dianhai Yu, Wei He, Hua Wu, Haifeng Wang, Ting Liu

Proceedings of the 2014 Conference on Empirical Methods in Natural Language Processing, 2014

2013

Compound Embedding Features for Semi-supervised Learning.

Mo Yu, Tiejun Zhao, Daxiang Dong, Hao Tian, Dianhai Yu

Proceedings of the Human Language Technologies: Conference of the North American Chapter of the Association of Computational Linguistics, 2013

2011

Generalized Gaussian process models.

Antoni B. Chan, Daxiang Dong

Proceedings of the 24th IEEE Conference on Computer Vision and Pattern Recognition, 2011