Solving Underdetermined Systems with Interval Methods. - Danqing Zhang; Weiguo Li; Shen Zuhe (Reliab. Comput., 1999)

Web-Based Image Retrieval with a Case Study. - Ying Liu; Danqing Zhang (APWeb, 2003)

Modelling Traditional Chinese Paintings for Content-Based Image Classification and Retrieval. - Danqing Zhang; Binh Pham 001; Yuefeng Li (MMM, 2004)

Code Reuse Prevention through Control Flow Lazily Check. - Linbo Chen; Jianhui Jiang; Danqing Zhang (PRDC, 2012)

Program behavior characterization and clustering: An empirical study for failure clustering. - Danqing Zhang; Jianhui Jiang; Linbo Chen (ISSRE (Supplemental Proceedings), 2013)

Social Discrete Choice Models. - Danqing Zhang; Kimon Fountoulakis; Junyu Cao; Mogeng Yin; Michael W. Mahoney; Alexei Pozdnoukhov (CoRR, 2017)

Training a network to attend like human drivers saves it from common but misleading loss functions. - Ye Xia 006; Danqing Zhang; Alexei Pozdnoukhov; Ken Nakayama; Karl Zipser; David Whitney (CoRR, 2017)

Predicting Driver Attention in Critical Situations. - Ye Xia 006; Danqing Zhang; Jinkyu Kim 001; Ken Nakayama; Karl Zipser; David Whitney (ACCV (5), 2018)

Social-enabled Urban Data Analytics. - Danqing Zhang (2018)

Bilateral Angle 2DPCA for Face Recognition. - Shuisheng Zhou; Danqing Zhang (IEEE Signal Process. Lett., 2019)

On Data Augmentation for Extreme Multi-label Classification. - Danqing Zhang; Tao Li; Haiyang Zhang; Bing Yin (CoRR, 2020)

Named Entity Recognition with Small Strongly Labeled and Large Weakly Labeled Data. - Haoming Jiang; Danqing Zhang; Tianyu Cao 001; Bing Yin; Tuo Zhao (ACL/IJCNLP (1), 2021)

QUEACO: Borrowing Treasures from Weakly-labeled Behavior Data for Query Attribute Value Extraction. - Danqing Zhang; Zheng Li 018; Tianyu Cao 001; Chen Luo 003; Tony Wu; Hanqing Lu; Yiwei Song; Bing Yin; Tuo Zhao; Qiang Yang 001 (CIKM, 2021)

MetaTS: Meta Teacher-Student Network for Multilingual Sequence Labeling with Minimal Supervision. - Zheng Li 018; Danqing Zhang; Tianyu Cao 001; Ying Wei 001; Yiwei Song; Bing Yin (EMNLP (1), 2021)

Improving Pretrained Models for Zero-shot Multi-label Text Classification through Reinforced Label Hierarchy Reasoning. - Hui Liu 033; Danqing Zhang; Bing Yin; Xiaodan Zhu 001 (NAACL-HLT, 2021)

Condensing Graphs via One-Step Gradient Matching. - Wei Jin 009; Xianfeng Tang; Haoming Jiang; Zheng Li 018; Danqing Zhang; Jiliang Tang; Bing Yin (KDD, 2022)

AutoGDA: Automated Graph Data Augmentation for Node Classification. - Tong Zhao 003; Xianfeng Tang; Danqing Zhang; Haoming Jiang; Nikhil Rao 001; Yiwei Song; Pallav Agrawal; Karthik Subbian; Bing Yin; Meng Jiang 001 (LoG, 2022)

SEQZERO: Few-shot Compositional Semantic Parsing with Sequential Prompts and Zero-shot Models. - Jingfeng Yang 001; Haoming Jiang; Qingyu Yin; Danqing Zhang; Bing Yin; Diyi Yang (NAACL-HLT (Findings), 2022)

RETE: Retrieval-Enhanced Temporal Event Forecasting on Unified Query Product Evolutionary Graph. - Ruijie Wang 004; Zheng Li 018; Danqing Zhang; Qingyu Yin; Tong Zhao 002; Bing Yin; Tarek F. Abdelzaher (WWW, 2022)

Condensing Graphs via One-Step Gradient Matching. - Wei Jin 009; Xianfeng Tang; Haoming Jiang; Zheng Li 018; Danqing Zhang; Jiliang Tang; Bin Ying (CoRR, 2022)

Short Text Pre-training with Extended Token Classification for E-commerce Query Understanding. - Haoming Jiang; Tianyu Cao 001; Zheng Li 018; Chen Luo 003; Xianfeng Tang; Qingyu Yin; Danqing Zhang; Rahul Goutam; Bing Yin (CoRR, 2022)

Exploiting Intent Evolution in E-commercial Query Recommendation. - Yu Wang 158; Zhengyang Wang; Hengrui Zhang; Qingyu Yin; Xianfeng Tang; Yinghan Wang; Danqing Zhang; Limeng Cui; Monica Xiao Cheng; Bing Yin; Suhang Wang; Philip S. Yu (KDD, 2023)

Tutorial on Landing Generative AI in Industrial Social and E-commerce Recsys. - Da Xu; Danqing Zhang; Lingling Zheng; Bo Yang 062; Guangyu Yang; Shuyuan Xu; Cindy Liang (CIKM, 2024)

LightLT: A Lightweight Representation Quantization Framework for Long-Tail Data. - Haoyu Wang 004; Ruirui Li 002; Zhengyang Wang; Xianfeng Tang; Danqing Zhang; Monica Xiao Cheng; Bing Yin; Jasha Droppo; Suhang Wang; Jing Gao 004 (ICDE, 2024)

An Efficient Sparse-Aware Summation Optimization Strategy for DNN Accelerator. - Danqing Zhang; Baoting Li; Hang Wang; Xuchong Zhang; Hongbin Sun 001 (ISCAS, 2024)

Survey for Landing Generative AI in Social and E-commerce Recsys - the Industry Perspectives. - Da Xu; Danqing Zhang; Guangyu Yang; Bo Yang; Shuyuan Xu; Lingling Zheng; Cindy Liang (CoRR, 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 001; Nanning Zheng 001 (IEEE Trans. Circuits Syst. I Regul. Pap., 2024)

Tutorial on Landing Generative AI in Industrial Social and E-commerce Recsys. - Da Xu; Danqing Zhang; Chuanwei Ruan; Lingling Zheng; Bo Yang 062; Guangyu Yang; Shuyuan Xu; Haixun Wang (WWW (Companion Volume), 2025)

LiteWebAgent: The Open-Source Suite for VLM-Based Web-Agent Applications. - Danqing Zhang; Balaji Rama; Jingyi Ni; Shiying He; Fu Zhao; Kunyu Chen; Arnold Chen; Junyu Cao (CoRR, 2025)