Danqing Zhang

According to our database, Danqing Zhang authored at least 23 papers between 1999 and 2024.

Collaborative distances:

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

2024

DQ-STP: An Efficient Sparse On-Device Training Processor Based on Low-Rank Decomposition and Quantization for DNN.

Baoting Li, Danqing Zhang, Pengfei Zhao, Hang Wang, Xuchong Zhang, Hongbin Sun, Nanning Zheng

IEEE Trans. Circuits Syst. I Regul. Pap., April, 2024

2023

Exploiting Intent Evolution in E-commercial Query Recommendation.

Yu Wang, Zhengyang Wang, Hengrui Zhang, Qingyu Yin, Xianfeng Tang, Yinghan Wang, Danqing Zhang, Limeng Cui, Monica Xiao Cheng, Bing Yin, Suhang Wang, Philip S. Yu

Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

2022

Short Text Pre-training with Extended Token Classification for E-commerce Query Understanding.

Haoming Jiang, Tianyu Cao, Zheng Li, Chen Luo, Xianfeng Tang, Qingyu Yin, Danqing Zhang, Rahul Goutam, Bing Yin

CoRR, 2022

Condensing Graphs via One-Step Gradient Matching.

Wei Jin, Xianfeng Tang, Haoming Jiang, Zheng Li, Danqing Zhang, Jiliang Tang, Bin Ying

CoRR, 2022

RETE: Retrieval-Enhanced Temporal Event Forecasting on Unified Query Product Evolutionary Graph.

Ruijie Wang, Zheng Li, Danqing Zhang, Qingyu Yin, Tong Zhao, Bing Yin, Tarek F. Abdelzaher

Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 2022

SEQZERO: Few-shot Compositional Semantic Parsing with Sequential Prompts and Zero-shot Models.

Jingfeng Yang, Haoming Jiang, Qingyu Yin, Danqing Zhang, Bing Yin, Diyi Yang

Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2022, 2022

AutoGDA: Automated Graph Data Augmentation for Node Classification.

Tong Zhao, Xianfeng Tang, Danqing Zhang, Haoming Jiang, Nikhil Rao, Yiwei Song, Pallav Agrawal, Karthik Subbian, Bing Yin, Meng Jiang

Proceedings of the Learning on Graphs Conference, 2022

Condensing Graphs via One-Step Gradient Matching.

Wei Jin, Xianfeng Tang, Haoming Jiang, Zheng Li, Danqing Zhang, Jiliang Tang, Bing Yin

Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

2021

Improving Pretrained Models for Zero-shot Multi-label Text Classification through Reinforced Label Hierarchy Reasoning.

Hui Liu, Danqing Zhang, Bing Yin, Xiaodan Zhu

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

MetaTS: Meta Teacher-Student Network for Multilingual Sequence Labeling with Minimal Supervision.

Zheng Li, Danqing Zhang, Tianyu Cao, Ying Wei, Yiwei Song, Bing Yin

Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

QUEACO: Borrowing Treasures from Weakly-labeled Behavior Data for Query Attribute Value Extraction.

Danqing Zhang, Zheng Li, Tianyu Cao, Chen Luo, Tony Wu, Hanqing Lu, Yiwei Song, Bing Yin, Tuo Zhao, Qiang Yang

Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

Named Entity Recognition with Small Strongly Labeled and Large Weakly Labeled Data.

Haoming Jiang, Danqing Zhang, Tianyu Cao, Bing Yin, Tuo Zhao

Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

2020

On Data Augmentation for Extreme Multi-label Classification.

Danqing Zhang, Tao Li, Haiyang Zhang, Bing Yin

CoRR, 2020

2019

Bilateral Angle 2DPCA for Face Recognition.

Shuisheng Zhou, Danqing Zhang

IEEE Signal Process. Lett., 2019

2018

Social-enabled Urban Data Analytics.

Danqing Zhang

PhD thesis, 2018

Predicting Driver Attention in Critical Situations.

Ye Xia, Danqing Zhang, Jinkyu Kim, Ken Nakayama, Karl Zipser, David Whitney

Proceedings of the Computer Vision - ACCV 2018, 2018

2017

Training a network to attend like human drivers saves it from common but misleading loss functions.

Ye Xia, Danqing Zhang, Alexei Pozdnoukhov, Ken Nakayama, Karl Zipser, David Whitney

CoRR, 2017

Social Discrete Choice Models.

Danqing Zhang, Kimon Fountoulakis, Junyu Cao, Mogeng Yin, Michael W. Mahoney, Alexei Pozdnoukhov

CoRR, 2017

2013

Program behavior characterization and clustering: An empirical study for failure clustering.

Danqing Zhang, Jianhui Jiang, Linbo Chen

Proceedings of the IEEE 24th International Symposium on Software Reliability Engineering, 2013

2012

Code Reuse Prevention through Control Flow Lazily Check.

Linbo Chen, Jianhui Jiang, Danqing Zhang

Proceedings of the IEEE 18th Pacific Rim International Symposium on Dependable Computing, 2012

2004

Modelling Traditional Chinese Paintings for Content-Based Image Classification and Retrieval.

Danqing Zhang, Binh Pham, Yuefeng Li

Proceedings of the 10th International Multimedia Modeling Conference (MMM 2004), 2004

2003

Web-Based Image Retrieval with a Case Study.

Ying Liu, Danqing Zhang

Proceedings of the Web Technologies and Applications, 5th Asian-Pacific Web Conference, 2003

1999

Solving Underdetermined Systems with Interval Methods.

Danqing Zhang, Weiguo Li, Shen Zuhe

Reliab. Comput., 1999