VisualTreeSearch: Understanding Web Agent Test-time Scaling
Danqing Zhang, Yaoyao Qian, Shiying He, Yuanli Wang, Jingyi Ni, Junyu Cao
[ECML-PKDD'25]European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML-PKDD 2025)
[paper],
[project page]
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
[NAACL'25]2025 Annual Conference of the North American Chapter of the Association for Computational Linguistics -- System Demonstration Track
[paper],
[ACL],
[project page]
LightLT: a Lightweight Representation Quantization Framework for Long-tail Data,
Haoyu Wang, Ruirui Li, Zhengyang Wang, Xianfeng Tang, Danqing Zhang, Monica Cheng, Bing Yin, Jasha Droppo, Suhang Wang, Jing Gao
[ICDE'24]40th IEEE International Conference on Data Engineering (ICDE 2024)
[paper]
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 Cheng, Bing Yin, Suhang Wang, Philip S. Yu
[KDD'23]Proceedings of 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (SIGKDD 2023, applied data science paper)
[paper]
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
[LOG'22]Learning on Graphs Conference (LOG 2022, research paper)
[paper]
Condensing Graphs via One-Step Gradient Matching
Wei Jin, Xianfeng Tang, Haoming Jiang, Zheng li, Danqing Zhang, Jiliang Tang, Bing Yin
[KDD'22]Proceedings of 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (SIGKDD 2022, research paper)
[paper]
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
[NAACL'22 (Findings)]The 2021 Conference of the North American Chapter of the Association for Computational Linguistics - Human Language Technologies (NAACL-HLT 2022, long paper, findings)
[paper]
RETE: Retrieval-Enhanced Temporal Event Forecasting on Unified Query Product Evolutionary Graph
Ruijie Wang, Zheng Li, Danqing Zhang, Qingyu Yin, Tong Zhao, Bing Yin and Tarek Abdelzaher
[WWW'22]The Web Conference 2022 (WWW 2022, long paper)
[paper]
MetaTS: Meta Teacher-Student Network for Multilingual Sequence Labeling with Minimal Supervision
Zheng Li, Danqing Zhang, Tianyu Cao, Ying Wei, Yiwei Song and Bing Yin
[EMNLP'21]The 2021 Conference on Empirical Methods in Natural Language Processing (EMNLP 2021, long paper)
[paper]
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 and Qiang Yang
[CIKM'21]The 30th ACM International Conference on Information and Knowledge Management (CIKM 2021, Applied Research Track)
[paper], [video], [CIKM booster video]
Named Entity Recognition with Small Strongly Labeled and Large Weakly Labeled Data
Haoming Jiang, Danqing Zhang, Tianyu Cao, Bing Yin and Tuo Zhao
[ACL'21]The Joint Conference of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (ACL-IJCNLP 2021, long paper)
[paper], [code]
Improving Pretrained Models for Zero-shot Multi-label Text Classification through Reinforced Label Hierarchy Reasoning
Hui Liu, Danqing Zhang, Bing Yin, Xiaodan Zhu
[NAACL'21]The 2021 Conference of the North American Chapter of the Association for Computational Linguistics - Human Language Technologies (NAACL-HLT 2021, long paper)
[paper], [code]
Predicting driver attention in critical situations
Ye Xia, Danqing Zhang, Jinkyu Kim, Ken Nakayama, Karl Zipser, David Whitney
[ACCV,18]Asian conference on computer vision (ACCV), 2018
[paper], [code]
Tutorial on Landing Generative AI in Industrial Social and E-commerce Recsys
Da Xu, Danqing Zhang, Chuanwei Ruan, Lingling Zheng, Bo Yang, Guangyu Yang, Shuyuan Xu and Haixun Wang
[WWW'25]The Web Conference Tutorial
[paper]
Tutorial on Landing Generative AI in Industrial Social and E-commerce Recsys
Da Xu, Danqing Zhang, Lingling Zheng, Bo Yang, Guangyu Yang, Shuyuan Xu, Cindy Liang
[CIKM'24]The Conference on Information and Knowledge Management (CIKM) Tutorial
[paper]
Connected population synthesis for transportation simulation
Danqing Zhang*, Junyu Cao*, Sid Feygin, Dounan Tang, Zuo-Jun Max Shen, Alexei Pozdnoukhov
[TRC'19]Transportation research part C: emerging technologies (ranks No.2 in transportation journals, h-index: 133), 2019
[paper], [code], [press]
Using machine learning to analyze air traffic management actions: Ground delay program case study
Yulin Liu, Yi Liu, Mark Hansen, Alexey Pozdnukhov, Danqing Zhang
[TRE'19]Transportation Research Part E: Logistics and Transportation Review (ranks No.7 in transportation journals, h-index: 110), 2019
[paper]
Social-enabled Urban Data Analytics
Danqing Zhang
[Thesis'18]PhD Thesis, University of California Berkeley, 2018
[paper]
US Patent No. 11,256,707, PER-QUERY DATABASE PARTITION RELEVANCE FOR SEARCH
WebGraphEval: Multi-Turn Trajectory Evaluation for Web Agents using Graph Representation
Yaoyao Qian, Yuanli Wang, Jinda Zhang, Yun Zong, Meixu Chen, Hanhan Zhou, Jindan Huang, Yifan Zeng, Xinyu Hu, Chan Hee Song, Danqing Zhang
[MTI-LLM @ NeurIPS'25]NeurIPS 2025 Workshop on Multi-Turn Interactions with LLMs, 2025
[paper]
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
[KDD GenAIRecP'24]Knowledge Discovery and Data Mining (KDD) Generative AI for Recommender Systems and Personalization Workshop, 2024
[paper]
Light Feed-Forward Networks for Shard Selection in Large-scale Product Search
Danqing Zhang*, Heran Lin*, Pengcheng Xiong*, Fan Yang, Ryoichi Kato, Mukul Kumar, William Headden, Bing Yin
[SIGIR eCom'20 best paper]43rd International ACM SIGIR Conference on Research and Development in Information Retrieval, eCommerce Workshop, 2020
Best Paper Award
[paper], [video presentation]
GraphRAD: A Graph-based Risky Account Detection System
Danqing Zhang*, Jun Ma*, Yun Wang, Yan Zhang, Alexei Pozdnoukhov
[KDD-MLG'18]Knowledge Discovery and Data Mining (KDD) Mining and Learning with Graphs (MLG) Workshop, 2018
[paper], [code]
Modeling Ground Delay Program Incidence using Convective and Local Weather Information
Yi Liu, Mark Hansen, Danqing Zhang, Yulin Liu, Alexei Pozdnukhov
[ATM R&D'17 best paper]Twelfth USA/Europe Air Traffic Management Research and Development Seminar, 2017
Best Paper Award
[paper]
A generative model of urban activities from cellular data
Mogeng Yin, Madeleine Sheehan, Danqing Zhang, Jean-Francois Paiement, Alexei Pozdnoukhov
[KDD-LSTS'16]Knowledge Discovery and Data Mining (KDD) Machine Learning for Large Scale Transportation Systems (LSTS) Workshop, 2016
[paper], [code]
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
[arXiv'22]Technical Report, 2022
[paper]
On Data Augmentation for Extreme Multi-label Classification
Danqing Zhang, Tao Li, Haiyang Zhang, Bing Yin
[arXiv'20]Technical Report, 2020
[paper]
Social Discrete Choice Models
Danqing Zhang*, Kimon Fountoulakis*, Junyu Cao, Michael Mahoney, Alexei Pozdnoukhov
[arXiv'17]Technical Report, 2017
[paper], [code]
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
[arXiv'17]Technical Report, 2017
[paper]