Daxiang Dong - RankMe

31 papers A* 6A 2Journal 14Unranked 9

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Detached Skip-Links and R-Probe: Decoupling Feature Aggregation from Gradient Propagation for MLLM OCR. CoRR Ziye Yuan, Ruchang Yao, Chengxin Zheng, Yusheng Zhao, Daxiang Dong, Ming Zhang
2026	J	`jnl`	Qianfan-OCR: A Unified End-to-End Model for Document Intelligence. CoRR Daxiang Dong, Mingming Zheng, Dong Xu, Chunhua Luo, Bairong Zhuang, Yuxuan Li, Ruoyun He, Haoran Wang, Wenyu Zhang, Wenbo Wang, Yicheng Wang, Xue Xiong, Ayong Zheng, Xiaoying Zuo, Ziwei Ou, Jingnan Gu, Quanhao Guo, Jianmin Wu, Dawei Yin, Dou Shen
2026	J	`jnl`	SWE-Hub: A Unified Production System for Scalable, Executable Software Engineering Tasks. CoRR Yucheng Zeng, Shupeng Li, Daxiang Dong, Ruijie Xu, Zimo Chen, Liwei Zheng, Yuxuan Li, Zhe Zhou, Haotian Zhao, Lun Tian, Heng Xiao, Tianshu Zhu, Longkun Hao, Jianmin Wu
2025	J	`jnl`	Qianfan-VL: Domain-Enhanced Universal Vision-Language Models. CoRR Daxiang Dong, Mingming Zheng, Dong Xu, Bairong Zhuang, Wenyu Zhang, Chunhua Luo, Haoran Wang, Zijian Zhao, Jie Li, Yuxuan Li, Hanjun Zhong, Mengyue Liu, Jieting Chen, Shupeng Li, Lun Tian, Yaping Feng, Xin Li, Donggang Jiang, Yong Chen, Yehua Xu, Duohao Qin, Chen Feng, Dan Wang, Henghua Zhang, Jingjing Ha, Jinhui He, Yanfeng Zhai, Chengxin Zheng, Jiayi Mao, Jiacheng Chen, Ruchang Yao, Ziye Yuan, Jianmin Wu, Guangjun Xie, Dou Shen
2025	J	`jnl`	QianfanHuijin Technical Report: A Novel Multi-Stage Training Paradigm for Finance Industrial LLMs. CoRR Shupeng Li, Weipeng Lu, Linyun Liu, Chen Lin, Shaofei Li, Zhendong Tan, Hanjun Zhong, Yucheng Zeng, Chenghao Zhu, Mengyue Liu, Daxiang Dong, Jianmin Wu, Yunting Xiao, Annan Li, Danyu Liu, Jingnan Zhang, Licen Liu, Dawei Yin, Dou Shen
2025	—	`conf`	Tree-of-Code: A Self-Growing Tree Framework for End-to-End Code Generation and Execution in Complex Tasks. ACL (Findings) Ziyi Ni, Yifan Li, Ning Yang, Dou Shen, Pin Lyu, Daxiang Dong
2024	—	`conf`	ColdU: User Cold-start Recommendation with User-specific Modulation. CAI Daxiang Dong, Shiguang Wu, Yaqing Wang, Jingbo Zhou, Haifeng Wang
2024	J	`jnl`	Tree-of-Code: A Hybrid Approach for Robust Complex Task Planning and Execution. CoRR Ziyi Ni, Yifan Li, Daxiang Dong
2024	J	`jnl`	Tree-of-Code: A Tree-Structured Exploring Framework for End-to-End Code Generation and Execution in Complex Task Handling. CoRR Ziyi Ni, Yifan Li, Ning Yang, Dou Shen, Pin Lv, Daxiang Dong
2024	A*	`conf`	Warming Up Cold-Start CTR Prediction by Learning Item-Specific Feature Interactions. KDD Yaqing Wang, Hongming Piao, Daxiang Dong, Quanming Yao, Jingbo Zhou
2024	J	`jnl`	Warming Up Cold-Start CTR Prediction by Learning Item-Specific Feature Interactions. CoRR Yaqing Wang, Hongming Piao, Daxiang Dong, Quanming Yao, Jingbo Zhou
2023	A*	`conf`	ColdNAS: Search to Modulate for User Cold-Start Recommendation. WWW Shiguang Wu, Yaqing Wang, Qinghe Jing, Daxiang Dong, Dejing Dou, Quanming Yao
2023	J	`jnl`	ColdNAS: Search to Modulate for User Cold-Start Recommendation. CoRR Shiguang Wu, Yaqing Wang, Qinghe Jing, Daxiang Dong, Dejing Dou, Quanming Yao
2023	A	`conf`	FT-topo: Architecture-Driven Folded-Triangle Partitioning for Communication-efficient Graph Processing. ICS Xinbiao Gan, Guang Wu, Ruigeng Zeng, Jiaqi Si, Ji Liu, Daxiang Dong, Chunye Gong, Cong Liu, Tiejun Li
2023	J	`jnl`	Large-scale knowledge distillation with elastic heterogeneous computing resources. Concurr. Comput. Pract. Exp. Ji Liu, Daxiang Dong, Xi Wang, An Qin, Xingjian Li, Patrick Valduriez, Dejing Dou, Dianhai Yu
2022	J	`jnl`	Large-scale Knowledge Distillation with Elastic Heterogeneous Computing Resources. CoRR Ji Liu, Daxiang Dong, Xi Wang, An Qin, Xingjian Li, Patrick Valduriez, Dejing Dou, Dianhai Yu
2021	—	`conf`	Elastic Deep Learning Using Knowledge Distillation with Heterogeneous Computing Resources. Euro-Par Workshops Daxiang Dong, Ji Liu, Xi Wang, Weibao Gong, An Qin, Xingjian Li, Dianhai Yu, Patrick Valduriez, Dejing Dou
2021	A*	`conf`	JIZHI: A Fast and Cost-Effective Model-As-A-Service System for Web-Scale Online Inference at Baidu. KDD Hao Liu, Qian Gao, Jiang Li, Xiaochao Liao, Hao Xiong, Guangxing Chen, Wenlin Wang, Guobao Yang, Zhiwei Zha, Daxiang Dong, Dejing Dou, Haoyi Xiong
2021	J	`jnl`	JIZHI: A Fast and Cost-Effective Model-As-A-Service System for Web-Scale Online Inference at Baidu. CoRR Hao Liu, Qian Gao, Jiang Li, Xiaochao Liao, Hao Xiong, Guangxing Chen, Wenlin Wang, Guobao Yang, Zhiwei Zha, Daxiang Dong, Dejing Dou, Haoyi Xiong
2021	—	`conf`	RocketQA: An Optimized Training Approach to Dense Passage Retrieval for Open-Domain Question Answering. NAACL-HLT Yingqi Qu, Yuchen Ding, Jing Liu, Kai Liu, Ruiyang Ren, Wayne Xin Zhao, Daxiang Dong, Hua Wu, Haifeng Wang
2020	J	`jnl`	RocketQA: An Optimized Training Approach to Dense Passage Retrieval for Open-Domain Question Answering. CoRR Yingqi Qu, Yuchen Ding, Jing Liu, Kai Liu, Ruiyang Ren, Xin Zhao, Daxiang Dong, Hua Wu, Haifeng Wang
2019	J	`jnl`	Learning to Recommend via Meta Parameter Partition. CoRR Liang Zhao, Yang Wang, Daxiang Dong, Hao Tian
2019	—	`conf`	Neural Network Based Popularity Prediction by Linking Online Content with Knowledge Bases. PAKDD (2) Wayne Xin Zhao, Hongjian Dou, Yuanpei Zhao, Daxiang Dong, Ji-Rong Wen
2019	A	`conf`	Taxonomy-Aware Multi-Hop Reasoning Networks for Sequential Recommendation. WSDM Jin Huang, Zhaochun Ren, Wayne Xin Zhao, Gaole He, Ji-Rong Wen, Daxiang Dong
2018	—	`conf`	A New Method of Region Embedding for Text Classification. ICLR (Poster) Chao Qiao, Bo Huang, Guocheng Niu, Daren Li, Daxiang Dong, Wei He, Dianhai Yu, Hua Wu
2018	—	`conf`	Multi-Turn Response Selection for Chatbots with Deep Attention Matching Network. ACL (1) Xiangyang Zhou, Lu Li, Daxiang Dong, Yi Liu, Ying Chen, Wayne Xin Zhao, Dianhai Yu, Hua Wu
2016	A*	`conf`	Multi-view Response Selection for Human-Computer Conversation. EMNLP Xiangyang Zhou, Daxiang Dong, Hua Wu, Shiqi Zhao, Dianhai Yu, Hao Tian, Xuan Liu, Rui Yan
2015	—	`conf`	Multi-Task Learning for Multiple Language Translation. ACL (1) Daxiang Dong, Hua Wu, Wei He, Dianhai Yu, Haifeng Wang
2014	A*	`conf`	Improve Statistical Machine Translation with Context-Sensitive Bilingual Semantic Embedding Model. EMNLP Haiyang Wu, Daxiang Dong, Xiaoguang Hu, Dianhai Yu, Wei He, Hua Wu, Haifeng Wang, Ting Liu
2013	—	`conf`	Compound Embedding Features for Semi-supervised Learning. HLT-NAACL Mo Yu, Tiejun Zhao, Daxiang Dong, Hao Tian, Dianhai Yu
2011	A*	`conf`	Generalized Gaussian process models. CVPR Antoni B. Chan, Daxiang Dong