Lanjun Wang

According to our database, Lanjun Wang authored at least 52 papers between 2008 and 2024.

Collaborative distances:

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

2024

Stratified random sampling for neural network test input selection.

Zhuo Wu, Zan Wang, Junjie Chen, Hanmo You, Ming Yan, Lanjun Wang

Inf. Softw. Technol., January, 2024

Impart: An Imperceptible and Effective Label-Specific Backdoor Attack.

Jingke Zhao, Zan Wang, Yongwei Wang, Lanjun Wang

CoRR, 2024

Revealing Vulnerabilities in Stable Diffusion via Targeted Attacks.

Chenyu Zhang, Lanjun Wang, Anan Liu

CoRR, 2024

2023

Vulnerability of Feature Extractors in 2D Image-Based 3D Object Retrieval.

An-An Liu, Heyu Zhou, Xuanya Li, Lanjun Wang

IEEE Trans. Multim., 2023

T2IW: Joint Text to Image & Watermark Generation.

An-An Liu, Guokai Zhang, Yuting Su, Ning Xu, Yongdong Zhang, Lanjun Wang

CoRR, 2023

MCDAN: a Multi-scale Context-enhanced Dynamic Attention Network for Diffusion Prediction.

Xiaowen Wang, Lanjun Wang, Yuting Su, Yongdong Zhang, An-An Liu

CoRR, 2023

My Brother Helps Me: Node Injection Based Adversarial Attack on Social Bot Detection.

Lanjun Wang, Xinran Qiao, Yanwei Xie, Weizhi Nie, Yongdong Zhang, Anan Liu

Proceedings of the 31st ACM International Conference on Multimedia, 2023

Improving Rumor Detection by Class-based Adversarial Domain Adaptation.

Jingqiu Li, Lanjun Wang, Jianlin He, Yongdong Zhang, Anan Liu

Proceedings of the 31st ACM International Conference on Multimedia, 2023

Progressive Positive Association Framework for Image and Text Retrieval.

Wenhui Li, Yan Wang, Yuting Su, Lanjun Wang, Weizhi Nie, An-An Liu

Proceedings of the 31st ACM International Conference on Multimedia, 2023

Towards Deconfounded Image-Text Matching with Causal Inference.

Wenhui Li, Xinqi Su, Dan Song, Lanjun Wang, Kun Zhang, An-An Liu

Proceedings of the 31st ACM International Conference on Multimedia, 2023

Robustness Certification for Structured Prediction with General Inputs via Safe Region Modeling in the Semimetric Output Space.

Huaqing Shao, Lanjun Wang, Junchi Yan

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

Automatic Data Transformation Using Large Language Model - An Experimental Study on Building Energy Data.

Ankita Sharma, Xuanmao Li, Hong Guan, Guoxin Sun, Liang Zhang, Lanjun Wang, Kesheng Wu, Lei Cao, Erkang Zhu, Alexander Sim, Teresa Wu, Jia Zou

Proceedings of the IEEE International Conference on Big Data, 2023

2022

IPProtect: protecting the intellectual property of visual datasets during data valuation.

Gursimran Singh, Chendi Wang, Ahnaf Tazwar, Lanjun Wang, Yong Zhang

CoRR, 2022

GlueFL: Reconciling Client Sampling and Model Masking for Bandwidth Efficient Federated Learning.

Shiqi He, Qifan Yan, Feijie Wu, Lanjun Wang, Mathias Lécuyer, Ivan Beschastnikh

CoRR, 2022

Revealing Unfair Models by Mining Interpretable Evidence.

Mohit Bajaj, Lingyang Chu, Vittorio Romaniello, Gursimran Singh, Jian Pei, Zirui Zhou, Lanjun Wang, Yong Zhang

CoRR, 2022

Intrinsic Bias Identification on Medical Image Datasets.

Shijie Zhang, Lanjun Wang, Lian Ding, An-An Liu, Senhua Zhu, Dandan Tu

CoRR, 2022

Membership Privacy Protection for Image Translation Models via Adversarial Knowledge Distillation.

Saeed Ranjbar Alvar, Lanjun Wang, Jian Pei, Yong Zhang

CoRR, 2022

Targeted Data Poisoning Attack on News Recommendation System by Content Perturbation.

Xudong Zhang, Zan Wang, Jingke Zhao, Lanjun Wang

CoRR, 2022

Mining Minority-Class Examples with Uncertainty Estimates.

Gursimran Singh, Lingyang Chu, Lanjun Wang, Jian Pei, Qi Tian, Yong Zhang

Proceedings of the MultiMedia Modeling - 28th International Conference, 2022

Human Guided Exploitation of Interpretable Attention Patterns in Summarization and Topic Segmentation.

Raymond Li, Wen Xiao, Linzi Xing, Lanjun Wang, Gabriel Murray, Giuseppe Carenini

Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

Towards Edge-Cloud Collaborative Machine Learning: A Quality-aware Task Partition Framework.

Zimu Zheng, Yunzhe Li, Han Song, Lanjun Wang, Fei Xia

Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

Cosine Model Watermarking against Ensemble Distillation.

Laurent Charette, Lingyang Chu, Yizhou Chen, Jian Pei, Lanjun Wang, Yong Zhang

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

Human Interpretation and Exploitation of Self-attention Patterns in Transformers: A Case Study in Extractive Summarization.

Raymond Li, Wen Xiao, Lanjun Wang, Giuseppe Carenini

CoRR, 2021

FedFair: Training Fair Models In Cross-Silo Federated Learning.

Lingyang Chu, Lanjun Wang, Yanjie Dong, Jian Pei, Zirui Zhou, Yong Zhang

CoRR, 2021

T3-Vis: a visual analytic framework for Training and fine-Tuning Transformers in NLP.

Raymond Li, Wen Xiao, Lanjun Wang, Hyeju Jang, Giuseppe Carenini

CoRR, 2021

Robust Counterfactual Explanations on Graph Neural Networks.

Mohit Bajaj, Lingyang Chu, Zi Yu Xue, Jian Pei, Lanjun Wang, Peter Cho-Ho Lam, Yong Zhang

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Towards Fair Federated Learning.

Zirui Zhou, Lingyang Chu, Changxin Liu, Lanjun Wang, Jian Pei, Yong Zhang

Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

Auto-Split: A General Framework of Collaborative Edge-Cloud AI.

Amin Banitalebi-Dehkordi, Naveen Vedula, Jian Pei, Fei Xia, Lanjun Wang, Yong Zhang

Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

Network-wide Traffic Signal Optimization under Connected Vehicles Environment.

Liang Hu, Lanjun Wang, Zirui Zhou, Zhenli Sheng, Yong Zhang

Proceedings of the 24th IEEE International Intelligent Transportation Systems Conference, 2021

Stealthy Targeted Data Poisoning Attack on Knowledge Graphs.

Prithu Banerjee, Lingyang Chu, Yong Zhang, Laks V. S. Lakshmanan, Lanjun Wang

Proceedings of the 37th IEEE International Conference on Data Engineering, 2021

Finding Representative Interpretations on Convolutional Neural Networks.

Peter Cho-Ho Lam, Lingyang Chu, Maxim Torgonskiy, Jian Pei, Yong Zhang, Lanjun Wang

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

T3-Vis: visual analytic for Training and fine-Tuning Transformers in NLP.

Raymond Li, Wen Xiao, Lanjun Wang, Hyeju Jang, Giuseppe Carenini

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

Personalized Cross-Silo Federated Learning on Non-IID Data.

Yutao Huang, Lingyang Chu, Zirui Zhou, Lanjun Wang, Jiangchuan Liu, Jian Pei, Yong Zhang

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

Perception Improvement for Free: Exploring Imperceptible Black-box Adversarial Attacks on Image Classification.

Yongwei Wang, Mingquan Feng, Rabab Ward, Z. Jane Wang, Lanjun Wang

CoRR, 2020

Personalized Federated Learning: An Attentive Collaboration Approach.

Yutao Huang, Lingyang Chu, Zirui Zhou, Lanjun Wang, Jiangchuan Liu, Jian Pei, Yong Zhang

CoRR, 2020

Exact and Consistent Interpretation of Piecewise Linear Models Hidden behind APIs: A Closed Form Solution.

Zicun Cong, Lingyang Chu, Lanjun Wang, Xia Hu, Jian Pei

Proceedings of the 36th IEEE International Conference on Data Engineering, 2020

A High Precision Pipeline for Financial Knowledge Graph Construction.

Sarah Elhammadi, Laks V. S. Lakshmanan, Raymond T. Ng, Michael Simpson, Baoxing Huai, Zhefeng Wang, Lanjun Wang

Proceedings of the 28th International Conference on Computational Linguistics, 2020

2019

Online Density Bursting Subgraph Detection from Temporal Graphs.

Lingyang Chu, Yanyan Zhang, Yu Yang, Lanjun Wang, Jian Pei

Proc. VLDB Endow., 2019

MSAFusionNet: Multiple Subspace Attention Based Deep Multi-modal Fusion Network.

Sen Zhang, Changzheng Zhang, Lanjun Wang, Cixing Li, Dandan Tu, Rui Luo, Guojun Qi, Jiebo Luo

Proceedings of the Machine Learning in Medical Imaging - 10th International Workshop, 2019

DCCL: A Benchmark for Cervical Cytology Analysis.

Changzheng Zhang, Dong Liu, Lanjun Wang, Yaoxin Li, Xiaoshi Chen, Rui Luo, Shuanlong Che, Hehua Liang, Yinghua Li, Si Liu, Dandan Tu, Guojun Qi, Pifu Luo, Jiebo Luo

Proceedings of the Machine Learning in Medical Imaging - 10th International Workshop, 2019

G3raphGround: Graph-Based Language Grounding.

Mohit Bajaj, Lanjun Wang, Leonid Sigal

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

2018

Exact and Consistent Interpretation for Piecewise Linear Neural Networks: A Closed Form Solution.

Lingyang Chu, Xia Hu, Juhua Hu, Lanjun Wang, Jian Pei

Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2018

A unified scheme of text localization and structured data extraction for joint OCR and data mining.

Yibin Ye, Shenggao Zhu, Jing Wang, Qi Du, Yezhang Yang, Dandan Tu, Lanjun Wang, Jiebo Luo

Proceedings of the IEEE International Conference on Big Data (IEEE BigData 2018), 2018

2017

Exploiting Stable Data Dependency in Stream Processing Acceleration on FPGAs.

Yuliang Sun, Lanjun Wang, Chen Wang, Yu Wang

ACM Trans. Embed. Comput. Syst., 2017

2016

Characterizing Driving Styles with Deep Learning.

Weishan Dong, Jian Li, Renjie Yao, Changsheng Li, Ting Yuan, Lanjun Wang

CoRR, 2016

2015

Schema Management for Document Stores.

Lanjun Wang, Oktie Hassanzadeh, Shuo Zhang, Juwei Shi, Limei Jiao, Jia Zou, Chen Wang

Proc. VLDB Endow., 2015

2014

Accelerating frequent item counting with FPGA.

Yuliang Sun, Zilong Wang, Sitao Huang, Lanjun Wang, Yu Wang, Rong Luo, Huazhong Yang

Proceedings of the 2014 ACM/SIGDA International Symposium on Field-Programmable Gate Arrays, 2014

2013

Accelerating subsequence similarity search based on dynamic time warping distance with FPGA.

Zilong Wang, Sitao Huang, Lanjun Wang, Hao Li, Yu Wang, Huazhong Yang

Proceedings of the 2013 ACM/SIGDA International Symposium on Field Programmable Gate Arrays, 2013

2012

Dynamic All-Red Extension at a Signalized Intersection: A Framework of Probabilistic Modeling and Performance Evaluation.

Liping Zhang, Lanjun Wang, Kun Zhou, Wei-Bin Zhang

IEEE Trans. Intell. Transp. Syst., 2012

Scheduling of vehicles in the material handling systems based on the Mixed Integer Programming model.

Lanjun Wang

Proceedings of 2012 IEEE International Conference on Service Operations and Logistics, 2012

2009

Red light running prediction for dynamic all-red extension at signalized intersection.

Lanjun Wang, Liping Zhang, Wei-Bin Zhang, Kun Zhou

Proceedings of the 12th International IEEE Conference on Intelligent Transportation Systems, 2009

2008

Nonlinear Analysis of Individual Vehicle Behavior in Car Following.

Lanjun Wang, Hao Zhang, Huadong Meng, Xiqin Wang

Proceedings of the 11th International IEEE Conference on Intelligent Transportation Systems, 2008