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2020 – today
- 2024
[j3]Baoting Li
, Danqing Zhang, Pengfei Zhao, Hang Wang, Xuchong Zhang, Hongbin Sun, Nanning Zheng:
DQ-STP: An Efficient Sparse On-Device Training Processor Based on Low-Rank Decomposition and Quantization for DNN. IEEE Trans. Circuits Syst. I Regul. Pap. 71(4): 1665-1678 (2024)- [c17]Da Xu, Danqing Zhang, Lingling Zheng, Bo Yang, Guangyu Yang, Shuyuan Xu, Cindy Liang:
Tutorial on Landing Generative AI in Industrial Social and E-commerce Recsys. CIKM 2024: 5538-5542 - [c16]Haoyu Wang, Ruirui Li, Zhengyang Wang, Xianfeng Tang, Danqing Zhang, Monica Xiao Cheng, Bing Yin, Jasha Droppo, Suhang Wang, Jing Gao:
LightLT: A Lightweight Representation Quantization Framework for Long-Tail Data. ICDE 2024: 1380-1393 - [c15]Danqing Zhang, Baoting Li, Hang Wang, Xuchong Zhang, Hongbin Sun:
An Efficient Sparse-Aware Summation Optimization Strategy for DNN Accelerator. ISCAS 2024: 1-5 - [i11]Da Xu, Danqing Zhang, Guangyu Yang, Bo Yang, Shuyuan Xu, Lingling Zheng, Cindy Liang:
Survey for Landing Generative AI in Social and E-commerce Recsys - the Industry Perspectives. CoRR abs/2406.06475 (2024) - 2023
- [c14]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:
Exploiting Intent Evolution in E-commercial Query Recommendation. KDD 2023: 5162-5173 - 2022
- [c13]Wei Jin, Xianfeng Tang, Haoming Jiang, Zheng Li, Danqing Zhang, Jiliang Tang, Bing Yin:
Condensing Graphs via One-Step Gradient Matching. KDD 2022: 720-730 - [c12]Tong Zhao, Xianfeng Tang, Danqing Zhang, Haoming Jiang, Nikhil Rao, Yiwei Song, Pallav Agrawal, Karthik Subbian, Bing Yin, Meng Jiang:
AutoGDA: Automated Graph Data Augmentation for Node Classification. LoG 2022: 32 - [c11]Jingfeng Yang, Haoming Jiang, Qingyu Yin, Danqing Zhang, Bing Yin, Diyi Yang:
SEQZERO: Few-shot Compositional Semantic Parsing with Sequential Prompts and Zero-shot Models. NAACL-HLT (Findings) 2022: 49-60 - [c10]Ruijie Wang, Zheng Li, Danqing Zhang, Qingyu Yin, Tong Zhao, Bing Yin, Tarek F. Abdelzaher:
RETE: Retrieval-Enhanced Temporal Event Forecasting on Unified Query Product Evolutionary Graph. WWW 2022: 462-472 - [i10]Ruijie Wang, Zheng Li, Danqing Zhang, Qingyu Yin, Tong Zhao, Bing Yin, Tarek F. Abdelzaher:
RETE: Retrieval-Enhanced Temporal Event Forecasting on Unified Query Product Evolutionary Graph. CoRR abs/2202.06129 (2022) - [i9]Jingfeng Yang, Haoming Jiang, Qingyu Yin, Danqing Zhang, Bing Yin, Diyi Yang:
SeqZero: Few-shot Compositional Semantic Parsing with Sequential Prompts and Zero-shot Models. CoRR abs/2205.07381 (2022) - [i8]Wei Jin, Xianfeng Tang, Haoming Jiang, Zheng Li, Danqing Zhang, Jiliang Tang, Bin Ying:
Condensing Graphs via One-Step Gradient Matching. CoRR abs/2206.07746 (2022) - [i7]Haoming Jiang, Tianyu Cao, Zheng Li, Chen Luo, Xianfeng Tang, Qingyu Yin, Danqing Zhang, Rahul Goutam, Bing Yin:
Short Text Pre-training with Extended Token Classification for E-commerce Query Understanding. CoRR abs/2210.03915 (2022) - 2021
- [c9]Haoming Jiang, Danqing Zhang, Tianyu Cao, Bing Yin, Tuo Zhao:
Named Entity Recognition with Small Strongly Labeled and Large Weakly Labeled Data. ACL/IJCNLP (1) 2021: 1775-1789 - [c8]Danqing Zhang, Zheng Li, Tianyu Cao, Chen Luo, Tony Wu, Hanqing Lu, Yiwei Song, Bing Yin, Tuo Zhao, Qiang Yang:
QUEACO: Borrowing Treasures from Weakly-labeled Behavior Data for Query Attribute Value Extraction. CIKM 2021: 4362-4372 - [c7]Zheng Li, Danqing Zhang, Tianyu Cao, Ying Wei, Yiwei Song, Bing Yin:
MetaTS: Meta Teacher-Student Network for Multilingual Sequence Labeling with Minimal Supervision. EMNLP (1) 2021: 3183-3196 - [c6]Hui Liu, Danqing Zhang, Bing Yin, Xiaodan Zhu:
Improving Pretrained Models for Zero-shot Multi-label Text Classification through Reinforced Label Hierarchy Reasoning. NAACL-HLT 2021: 1051-1062 - [i6]Hui Liu, Danqing Zhang, Bing Yin, Xiaodan Zhu:
Improving Pretrained Models for Zero-shot Multi-label Text Classification through Reinforced Label Hierarchy Reasoning. CoRR abs/2104.01666 (2021) - [i5]Haoming Jiang, Danqing Zhang, Tianyu Cao, Bing Yin, Tuo Zhao:
Named Entity Recognition with Small Strongly Labeled and Large Weakly Labeled Data. CoRR abs/2106.08977 (2021) - [i4]Danqing Zhang, Zheng Li, Tianyu Cao, Chen Luo, Tony Wu, Hanqing Lu, Yiwei Song, Bing Yin, Tuo Zhao, Qiang Yang:
QUEACO: Borrowing Treasures from Weakly-labeled Behavior Data for Query Attribute Value Extraction. CoRR abs/2108.08468 (2021) - 2020
- [i3]Danqing Zhang, Tao Li, Haiyang Zhang, Bing Yin:
On Data Augmentation for Extreme Multi-label Classification. CoRR abs/2009.10778 (2020)
2010 – 2019
- 2019
- [j2]Shuisheng Zhou, Danqing Zhang:
Bilateral Angle 2DPCA for Face Recognition. IEEE Signal Process. Lett. 26(2): 317-321 (2019) - 2018
- [b1]Danqing Zhang:
Social-enabled Urban Data Analytics. University of California, Berkeley, USA, 2018 - [c5]Ye Xia, Danqing Zhang, Jinkyu Kim, Ken Nakayama, Karl Zipser, David Whitney:
Predicting Driver Attention in Critical Situations. ACCV (5) 2018: 658-674 - 2017
- [i2]Danqing Zhang, Kimon Fountoulakis, Junyu Cao, Mogeng Yin, Michael W. Mahoney, Alexei Pozdnoukhov:
Social Discrete Choice Models. CoRR abs/1703.07520 (2017) - [i1]Ye Xia, Danqing Zhang, Alexei Pozdnoukhov, Ken Nakayama, Karl Zipser, David Whitney:
Training a network to attend like human drivers saves it from common but misleading loss functions. CoRR abs/1711.06406 (2017) - 2013
- [c4]Danqing Zhang, Jianhui Jiang, Linbo Chen:
Program behavior characterization and clustering: An empirical study for failure clustering. ISSRE (Supplemental Proceedings) 2013: 144-149 - 2012
- [c3]Linbo Chen, Jianhui Jiang, Danqing Zhang:
Code Reuse Prevention through Control Flow Lazily Check. PRDC 2012: 51-60
2000 – 2009
- 2004
- [c2]Danqing Zhang, Binh Pham, Yuefeng Li:
Modelling Traditional Chinese Paintings for Content-Based Image Classification and Retrieval. MMM 2004: 258-264 - 2003
- [c1]Ying Liu, Danqing Zhang:
Web-Based Image Retrieval with a Case Study. APWeb 2003: 394-405
1990 – 1999
- 1999
- [j1]Danqing Zhang, Weiguo Li, Shen Zuhe:
Solving Underdetermined Systems with Interval Methods. Reliab. Comput. 5(1): 23-33 (1999)
Coauthor Index
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