Lanjun Wang

Publication Activity (10 Years)

Years Active: 2008-2024
Publications (10 Years): 62

Top Topics

Diffusion Models

Extractive Summarization

Feature Extractors

Top Venues

Proc. VLDB Endow.

Publications

Zhuo Wu, Zan Wang, Junjie Chen, Hanmo You, Ming Yan, Lanjun Wang
Stratified random sampling for neural network test input selection. Inf. Softw. Technol. 165 (2024)
Jingke Zhao, Zan Wang, Yongwei Wang, Lanjun Wang
Impart: An Imperceptible and Effective Label-Specific Backdoor Attack. CoRR (2024)
Guokai Zhang, Lanjun Wang, Yuting Su, An-An Liu
A Training-Free Plug-and-Play Watermark Framework for Stable Diffusion. CoRR (2024)
Chenyu Zhang, Mingwang Hu, Wenhui Li, Lanjun Wang
Adversarial Attacks and Defenses on Text-to-Image Diffusion Models: A Survey. CoRR (2024)
Fuxia Guo, Xiaowen Wang, Yanwei Xie, Zehao Wang, Jingqiu Li, Lanjun Wang
A Survey of Datasets for Information Diffusion Tasks. CoRR (2024)
Huaqing Shao, Lanjun Wang, Yongwei Wang, Qibing Ren, Junchi Yan
Certified Robustness on Visual Graph Matching via Searching Optimal Smoothing Range. KDD (2024)
Chenyu Zhang, Lanjun Wang, Anan Liu
Revealing Vulnerabilities in Stable Diffusion via Targeted Attacks. CoRR (2024)
Anan Liu, Yanwei Xie, Lanjun Wang, Guoqing Jin, Junbo Guo, Jun Li
Social bot detection on Twitter: robustness evaluation and improvement. Multim. Syst. 30 (3) (2024)
Xiaowen Wang, Lanjun Wang, Yuting Su, Yongdong Zhang, An-An Liu
MCDAN: A Multi-Scale Context-Enhanced Dynamic Attention Network for Diffusion Prediction. IEEE Trans. Multim. 26 (2024)
Xiaowen Wang, Lanjun Wang, Yuting Su, Yongdong Zhang, An-An Liu
MCDAN: a Multi-scale Context-enhanced Dynamic Attention Network for Diffusion Prediction. CoRR (2023)
Shiqi He, Qifan Yan, Feijie Wu, Lanjun Wang, Mathias Lécuyer, Ivan Beschastnikh
GlueFL: Reconciling Client Sampling and Model Masking for Bandwidth Efficient Federated Learning. MLSys (2023)
An-An Liu, Heyu Zhou, Xuanya Li, Lanjun Wang
Vulnerability of Feature Extractors in 2D Image-Based 3D Object Retrieval. IEEE Trans. Multim. 25 (2023)
Wenhui Li, Xinqi Su, Dan Song, Lanjun Wang, Kun Zhang, An-An Liu
Towards Deconfounded Image-Text Matching with Causal Inference. ACM Multimedia (2023)
Wenhui Li, Yan Wang, Yuting Su, Lanjun Wang, Weizhi Nie, An-An Liu
Progressive Positive Association Framework for Image and Text Retrieval. ACM Multimedia (2023)
Lanjun Wang, Xinran Qiao, Yanwei Xie, Weizhi Nie, Yongdong Zhang, Anan Liu
My Brother Helps Me: Node Injection Based Adversarial Attack on Social Bot Detection. CoRR (2023)
Huaqing Shao, Lanjun Wang, Junchi Yan
Robustness Certification for Structured Prediction with General Inputs via Safe Region Modeling in the Semimetric Output Space. KDD (2023)
An-An Liu, Guokai Zhang, Yuting Su, Ning Xu, Yongdong Zhang, Lanjun Wang
T2IW: Joint Text to Image & Watermark Generation. CoRR (2023)
Ankita Sharma, Xuanmao Li, Hong Guan, Guoxin Sun, Liang Zhang, Lanjun Wang, Kesheng Wu, Lei Cao, Erkang Zhu, Alexander Sim, Teresa Wu, Jia Zou
Automatic Data Transformation Using Large Language Model: An Experimental Study on Building Energy Data. CoRR (2023)
Lanjun Wang, Xinran Qiao, Yanwei Xie, Weizhi Nie, Yongdong Zhang, Anan Liu
My Brother Helps Me: Node Injection Based Adversarial Attack on Social Bot Detection. ACM Multimedia (2023)
Ankita Sharma, Xuanmao Li, Hong Guan, Guoxin Sun, Liang Zhang, Lanjun Wang, Kesheng Wu, Lei Cao, Erkang Zhu, Alexander Sim, Teresa Wu, Jia Zou
Automatic Data Transformation Using Large Language Model - An Experimental Study on Building Energy Data. BigData (2023)
Jingqiu Li, Lanjun Wang, Jianlin He, Yongdong Zhang, Anan Liu
Improving Rumor Detection by Class-based Adversarial Domain Adaptation. ACM Multimedia (2023)
Saeed Ranjbar Alvar, Lanjun Wang, Jian Pei, Yong Zhang
Membership Privacy Protection for Image Translation Models via Adversarial Knowledge Distillation. CoRR (2022)
Xudong Zhang, Zan Wang, Jingke Zhao, Lanjun Wang
Targeted Data Poisoning Attack on News Recommendation System by Content Perturbation. CoRR (2022)
Mohit Bajaj, Lingyang Chu, Vittorio Romaniello, Gursimran Singh, Jian Pei, Zirui Zhou, Lanjun Wang, Yong Zhang
Revealing Unfair Models by Mining Interpretable Evidence. CoRR (2022)
Zimu Zheng, Yunzhe Li, Han Song, Lanjun Wang, Fei Xia
Towards Edge-Cloud Collaborative Machine Learning: A Quality-aware Task Partition Framework. CIKM (2022)
Shijie Zhang, Lanjun Wang, Lian Ding, An-An Liu, Senhua Zhu, Dandan Tu
Intrinsic Bias Identification on Medical Image Datasets. CoRR (2022)
Laurent Charette, Lingyang Chu, Yizhou Chen, Jian Pei, Lanjun Wang, Yong Zhang
Cosine Model Watermarking against Ensemble Distillation. AAAI (2022)
Gursimran Singh, Lingyang Chu, Lanjun Wang, Jian Pei, Qi Tian, Yong Zhang
Mining Minority-Class Examples with Uncertainty Estimates. MMM (1) (2022)
Raymond Li, Wen Xiao, Linzi Xing, Lanjun Wang, Gabriel Murray, Giuseppe Carenini
Human Guided Exploitation of Interpretable Attention Patterns in Summarization and Topic Segmentation. EMNLP (2022)
Gursimran Singh, Chendi Wang, Ahnaf Tazwar, Lanjun Wang, Yong Zhang
IPProtect: protecting the intellectual property of visual datasets during data valuation. CoRR (2022)
Laurent Charette, Lingyang Chu, Yizhou Chen, Jian Pei, Lanjun Wang, Yong Zhang
Cosine Model Watermarking Against Ensemble Distillation. CoRR (2022)
Shiqi He, Qifan Yan, Feijie Wu, Lanjun Wang, Mathias Lécuyer, Ivan Beschastnikh
GlueFL: Reconciling Client Sampling and Model Masking for Bandwidth Efficient Federated Learning. CoRR (2022)
Liang Hu, Lanjun Wang, Zirui Zhou, Zhenli Sheng, Yong Zhang
Network-wide Traffic Signal Optimization under Connected Vehicles Environment. ITSC (2021)
Amin Banitalebi-Dehkordi, Naveen Vedula, Jian Pei, Fei Xia, Lanjun Wang, Yong Zhang
Auto-Split: A General Framework of Collaborative Edge-Cloud AI. KDD (2021)
Raymond Li, Wen Xiao, Lanjun Wang, Hyeju Jang, Giuseppe Carenini
T3-Vis: a visual analytic framework for Training and fine-Tuning Transformers in NLP. CoRR (2021)
Raymond Li, Wen Xiao, Lanjun Wang, Hyeju Jang, Giuseppe Carenini
T3-Vis: visual analytic for Training and fine-Tuning Transformers in NLP. EMNLP (Demos) (2021)
Mohit Bajaj, Lingyang Chu, Zi Yu Xue, Jian Pei, Lanjun Wang, Peter Cho-Ho Lam, Yong Zhang
Robust Counterfactual Explanations on Graph Neural Networks. CoRR (2021)
Raymond Li, Wen Xiao, Lanjun Wang, Giuseppe Carenini
Human Interpretation and Exploitation of Self-attention Patterns in Transformers: A Case Study in Extractive Summarization. CoRR (2021)
Zirui Zhou, Lingyang Chu, Changxin Liu, Lanjun Wang, Jian Pei, Yong Zhang
Towards Fair Federated Learning. KDD (2021)
Peter Cho-Ho Lam, Lingyang Chu, Maxim Torgonskiy, Jian Pei, Yong Zhang, Lanjun Wang
Finding Representative Interpretations on Convolutional Neural Networks. ICCV (2021)
Yutao Huang, Lingyang Chu, Zirui Zhou, Lanjun Wang, Jiangchuan Liu, Jian Pei, Yong Zhang
Personalized Cross-Silo Federated Learning on Non-IID Data. AAAI (2021)
Lingyang Chu, Lanjun Wang, Yanjie Dong, Jian Pei, Zirui Zhou, Yong Zhang
FedFair: Training Fair Models In Cross-Silo Federated Learning. CoRR (2021)
Mohit Bajaj, Lingyang Chu, Zi Yu Xue, Jian Pei, Lanjun Wang, Peter Cho-Ho Lam, Yong Zhang
Robust Counterfactual Explanations on Graph Neural Networks. NeurIPS (2021)
Peter Cho-Ho Lam, Lingyang Chu, Maxim Torgonskiy, Jian Pei, Yong Zhang, Lanjun Wang
Finding Representative Interpretations on Convolutional Neural Networks. CoRR (2021)
Amin Banitalebi-Dehkordi, Naveen Vedula, Jian Pei, Fei Xia, Lanjun Wang, Yong Zhang
Auto-Split: A General Framework of Collaborative Edge-Cloud AI. CoRR (2021)
Gursimran Singh, Lingyang Chu, Lanjun Wang, Jian Pei, Qi Tian, Yong Zhang
Mining Minority-class Examples With Uncertainty Estimates. CoRR (2021)
Prithu Banerjee, Lingyang Chu, Yong Zhang, Laks V. S. Lakshmanan, Lanjun Wang
Stealthy Targeted Data Poisoning Attack on Knowledge Graphs. ICDE (2021)
Yutao Huang, Lingyang Chu, Zirui Zhou, Lanjun Wang, Jiangchuan Liu, Jian Pei, Yong Zhang
Personalized Federated Learning: An Attentive Collaboration Approach. CoRR (2020)
Sarah Elhammadi, Laks V. S. Lakshmanan, Raymond T. Ng, Michael Simpson, Baoxing Huai, Zhefeng Wang, Lanjun Wang
A High Precision Pipeline for Financial Knowledge Graph Construction. COLING (2020)
Zicun Cong, Lingyang Chu, Lanjun Wang, Xia Hu, Jian Pei
Exact and Consistent Interpretation of Piecewise Linear Models Hidden behind APIs: A Closed Form Solution. ICDE (2020)
Yongwei Wang, Mingquan Feng, Rabab Ward, Z. Jane Wang, Lanjun Wang
Perception Improvement for Free: Exploring Imperceptible Black-box Adversarial Attacks on Image Classification. CoRR (2020)
Mohit Bajaj, Lanjun Wang, Leonid Sigal
G3raphGround: Graph-Based Language Grounding. ICCV (2019)
Zicun Cong, Lingyang Chu, Lanjun Wang, Xia Hu, Jian Pei
Exact and Consistent Interpretation of Piecewise Linear Models Hidden behind APIs: A Closed Form Solution. CoRR (2019)
Lingyang Chu, Yanyan Zhang, Yu Yang, Lanjun Wang, Jian Pei
Online Density Bursting Subgraph Detection from Temporal Graphs. Proc. VLDB Endow. 12 (13) (2019)
Sen Zhang, Changzheng Zhang, Lanjun Wang, Cixing Li, Dandan Tu, Rui Luo, Guojun Qi, Jiebo Luo
MSAFusionNet: Multiple Subspace Attention Based Deep Multi-modal Fusion Network. MLMI@MICCAI (2019)
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
DCCL: A Benchmark for Cervical Cytology Analysis. MLMI@MICCAI (2019)
Yibin Ye, Shenggao Zhu, Jing Wang, Qi Du, Yezhang Yang, Dandan Tu, Lanjun Wang, Jiebo Luo
A unified scheme of text localization and structured data extraction for joint OCR and data mining. IEEE BigData (2018)
Lingyang Chu, Xia Hu, Juhua Hu, Lanjun Wang, Jian Pei
Exact and Consistent Interpretation for Piecewise Linear Neural Networks: A Closed Form Solution. CoRR (2018)
Lingyang Chu, Xia Hu, Juhua Hu, Lanjun Wang, Jian Pei
Exact and Consistent Interpretation for Piecewise Linear Neural Networks: A Closed Form Solution. KDD (2018)
Yuliang Sun, Lanjun Wang, Chen Wang, Yu Wang
Exploiting Stable Data Dependency in Stream Processing Acceleration on FPGAs. ACM Trans. Embed. Comput. Syst. 16 (4) (2017)
Weishan Dong, Jian Li, Renjie Yao, Changsheng Li, Ting Yuan, Lanjun Wang
Characterizing Driving Styles with Deep Learning. CoRR (2016)
Lanjun Wang, Oktie Hassanzadeh, Shuo Zhang, Juwei Shi, Limei Jiao, Jia Zou, Chen Wang
Schema Management for Document Stores. Proc. VLDB Endow. 8 (9) (2015)
Yuliang Sun, Zilong Wang, Sitao Huang, Lanjun Wang, Yu Wang, Rong Luo, Huazhong Yang
Accelerating frequent item counting with FPGA. FPGA (2014)
Zilong Wang, Sitao Huang, Lanjun Wang, Hao Li, Yu Wang, Huazhong Yang
Accelerating subsequence similarity search based on dynamic time warping distance with FPGA. FPGA (2013)
Lanjun Wang
Scheduling of vehicles in the material handling systems based on the Mixed Integer Programming model. SOLI (2012)
Liping Zhang, Lanjun Wang, Kun Zhou, Wei-Bin Zhang
Dynamic All-Red Extension at a Signalized Intersection: A Framework of Probabilistic Modeling and Performance Evaluation. IEEE Trans. Intell. Transp. Syst. 13 (1) (2012)
Lanjun Wang, Liping Zhang, Wei-Bin Zhang, Kun Zhou
Red light running prediction for dynamic all-red extension at signalized intersection. ITSC (2009)
Lanjun Wang, Hao Zhang, Huadong Meng, Xiqin Wang
Nonlinear Analysis of Individual Vehicle Behavior in Car Following. ITSC (2008)