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2020 – today
- 2024
[c15]Yaqing Wang
, Hongming Piao, Daxiang Dong, Quanming Yao, Jingbo Zhou:
Warming Up Cold-Start CTR Prediction by Learning Item-Specific Feature Interactions. KDD 2024: 3233-3244- [i6]Yaqing Wang, Hongming Piao, Daxiang Dong, Quanming Yao, Jingbo Zhou:
Warming Up Cold-Start CTR Prediction by Learning Item-Specific Feature Interactions. CoRR abs/2407.10112 (2024) - 2023
- [j1]Ji Liu, Daxiang Dong, Xi Wang, An Qin, Xingjian Li, Patrick Valduriez, Dejing Dou, Dianhai Yu:
Large-scale knowledge distillation with elastic heterogeneous computing resources. Concurr. Comput. Pract. Exp. 35(26) (2023) - [c14]Xinbiao Gan, Guang Wu, Ruigeng Zeng, Jiaqi Si, Ji Liu, Daxiang Dong, Chunye Gong, Cong Liu, Tiejun Li:
FT-topo: Architecture-Driven Folded-Triangle Partitioning for Communication-efficient Graph Processing. ICS 2023: 240-250 - [c13]Shiguang Wu, Yaqing Wang, Qinghe Jing, Daxiang Dong, Dejing Dou, Quanming Yao:
ColdNAS: Search to Modulate for User Cold-Start Recommendation. WWW 2023: 1021-1031 - [i5]Shiguang Wu, Yaqing Wang, Qinghe Jing, Daxiang Dong, Dejing Dou, Quanming Yao:
ColdNAS: Search to Modulate for User Cold-Start Recommendation. CoRR abs/2306.03387 (2023) - 2022
- [i4]Ji Liu, Daxiang Dong, Xi Wang, An Qin, Xingjian Li, Patrick Valduriez, Dejing Dou, Dianhai Yu:
Large-scale Knowledge Distillation with Elastic Heterogeneous Computing Resources. CoRR abs/2207.06667 (2022) - 2021
- [c12]Daxiang Dong, Ji Liu, Xi Wang, Weibao Gong, An Qin, Xingjian Li, Dianhai Yu, Patrick Valduriez, Dejing Dou:
Elastic Deep Learning Using Knowledge Distillation with Heterogeneous Computing Resources. Euro-Par Workshops 2021: 116-128 - [c11]Hao Liu, Qian Gao, Jiang Li, Xiaochao Liao, Hao Xiong, Guangxing Chen, Wenlin Wang, Guobao Yang, Zhiwei Zha, Daxiang Dong, Dejing Dou, Haoyi Xiong:
JIZHI: A Fast and Cost-Effective Model-As-A-Service System for Web-Scale Online Inference at Baidu. KDD 2021: 3289-3298 - [c10]Yingqi Qu, Yuchen Ding, Jing Liu, Kai Liu, Ruiyang Ren, Wayne Xin Zhao, Daxiang Dong, Hua Wu, Haifeng Wang:
RocketQA: An Optimized Training Approach to Dense Passage Retrieval for Open-Domain Question Answering. NAACL-HLT 2021: 5835-5847 - [i3]Hao Liu, Qian Gao, Jiang Li, Xiaochao Liao, Hao Xiong, Guangxing Chen, Wenlin Wang, Guobao Yang, Zhiwei Zha, Daxiang Dong, Dejing Dou, Haoyi Xiong:
JIZHI: A Fast and Cost-Effective Model-As-A-Service System for Web-Scale Online Inference at Baidu. CoRR abs/2106.01674 (2021) - 2020
- [i2]Yingqi Qu, Yuchen Ding, Jing Liu, Kai Liu, Ruiyang Ren, Xin Zhao, Daxiang Dong, Hua Wu, Haifeng Wang:
RocketQA: An Optimized Training Approach to Dense Passage Retrieval for Open-Domain Question Answering. CoRR abs/2010.08191 (2020)
2010 – 2019
- 2019
- [c9]Wayne Xin Zhao, Hongjian Dou, Yuanpei Zhao, Daxiang Dong, Ji-Rong Wen:
Neural Network Based Popularity Prediction by Linking Online Content with Knowledge Bases. PAKDD (2) 2019: 16-28 - [c8]Jin Huang, Zhaochun Ren, Wayne Xin Zhao, Gaole He, Ji-Rong Wen, Daxiang Dong:
Taxonomy-Aware Multi-Hop Reasoning Networks for Sequential Recommendation. WSDM 2019: 573-581 - [i1]Liang Zhao, Yang Wang, Daxiang Dong, Hao Tian:
Learning to Recommend via Meta Parameter Partition. CoRR abs/1912.04108 (2019) - 2018
- [c7]Xiangyang Zhou, Lu Li, Daxiang Dong, Yi Liu, Ying Chen, Wayne Xin Zhao, Dianhai Yu, Hua Wu:
Multi-Turn Response Selection for Chatbots with Deep Attention Matching Network. ACL (1) 2018: 1118-1127 - [c6]Chao Qiao, Bo Huang, Guocheng Niu, Daren Li, Daxiang Dong, Wei He, Dianhai Yu, Hua Wu:
A New Method of Region Embedding for Text Classification. ICLR (Poster) 2018 - 2016
- [c5]Xiangyang Zhou, Daxiang Dong, Hua Wu, Shiqi Zhao, Dianhai Yu, Hao Tian, Xuan Liu, Rui Yan:
Multi-view Response Selection for Human-Computer Conversation. EMNLP 2016: 372-381 - 2015
- [c4]Daxiang Dong, Hua Wu, Wei He, Dianhai Yu, Haifeng Wang:
Multi-Task Learning for Multiple Language Translation. ACL (1) 2015: 1723-1732 - 2014
- [c3]Haiyang Wu, Daxiang Dong, Xiaoguang Hu, Dianhai Yu, Wei He, Hua Wu, Haifeng Wang, Ting Liu:
Improve Statistical Machine Translation with Context-Sensitive Bilingual Semantic Embedding Model. EMNLP 2014: 142-146 - 2013
- [c2]Mo Yu, Tiejun Zhao, Daxiang Dong, Hao Tian, Dianhai Yu:
Compound Embedding Features for Semi-supervised Learning. HLT-NAACL 2013: 563-568 - 2011
- [c1]Antoni B. Chan, Daxiang Dong:
Generalized Gaussian process models. CVPR 2011: 2681-2688
Coauthor Index
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