Wenhan Wang

According to our database, Wenhan Wang authored at least 36 papers between 2012 and 2024.

Collaborative distances:

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

2024

BadEdit: Backdooring large language models by model editing.

Yanzhou Li, Tianlin Li, Kangjie Chen, Jian Zhang, Shangqing Liu, Wenhan Wang, Tianwei Zhang, Yang Liu

CoRR, 2024

WaveNet: Tackling Non-stationary Graph Signals via Graph Spectral Wavelets.

Zhirui Yang, Yulan Hu, Sheng Ouyang, Jingyu Liu, Shuqiang Wang, Xibo Ma, Wenhan Wang, Hanjing Su, Yong Liu

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Multi-Connectivity Representation Learning Network for Major Depressive Disorder Diagnosis.

Youyong Kong, Wenhan Wang, Xiaoyun Liu, Shuwen Gao, Zhenghua Hou, Chunming Xie, Zhijun Zhang, Yonggui Yuan

IEEE Trans. Medical Imaging, October, 2023

Generative Pretraining at Scale: Transformer-Based Encoding of Transactional Behavior for Fraud Detection.

Ze-Yu Zhao, Zheng Zhu, Guilin Li, Wenhan Wang, Bo Wang

CoRR, 2023

An Empirical Study on the Effectiveness of Noisy Label Learning for Program Understanding.

Wenhan Wang, Yanzhou Li, Anran Li, Jian Zhang, Wei Ma, Yang Liu

CoRR, 2023

The Scope of ChatGPT in Software Engineering: A Thorough Investigation.

Wei Ma, Shangqing Liu, Wenhan Wang, Qiang Hu, Ye Liu, Cen Zhang, Liming Nie, Yang Liu

CoRR, 2023

Learning Program Representations with a Tree-Structured Transformer.

Wenhan Wang, Kechi Zhang, Ge Li, Shangqing Liu, Anran Li, Zhi Jin, Yang Liu

Proceedings of the IEEE International Conference on Software Analysis, 2023

Reward Imputation with Sketching for Contextual Batched Bandits.

Xiao Zhang, Ninglu Shao, Zihua Si, Jun Xu, Wenhan Wang, Hanjing Su, Ji-Rong Wen

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Brainnetformer: Decoding Brain Cognitive States with Spatial-Temporal Cross Attention.

Leheng Sheng, Wenhan Wang, Zhiyi Shi, Jichao Zhan, Youyong Kong

Proceedings of the IEEE International Conference on Acoustics, 2023

2022

Cascaded Coded Distributed Computing Schemes Based on Symmetric Designs.

Jing Jiang, Wenhan Wang, Lingling Zhou

IEEE Trans. Commun., 2022

Is Self-Attention Powerful to Learn Code Syntax and Semantics?

Wei Ma, Mengjie Zhao, Xiaofei Xie, Qiang Hu, Shangqing Liu, Jie Zhang, Wenhan Wang, Yang Liu

CoRR, 2022

Partial Information as Full: Reward Imputation with Sketching in Bandits.

Xiao Zhang, Ninglu Shao, Zihua Si, Jun Xu, Wenhan Wang, Hanjing Su, Ji-Rong Wen

CoRR, 2022

A Tree-structured Transformer for Program Representation Learning.

Wenhan Wang, Kechi Zhang, Ge Li, Shangqing Liu, Zhi Jin, Yang Liu

CoRR, 2022

GraSP: Optimizing Graph-based Nearest Neighbor Search with Subgraph Sampling and Pruning.

Minjia Zhang, Wenhan Wang, Yuxiong He

Proceedings of the WSDM '22: The Fifteenth ACM International Conference on Web Search and Data Mining, Virtual Event / Tempe, AZ, USA, February 21, 2022

MonLAD: Money Laundering Agents Detection in Transaction Streams.

Xiaobing Sun, Wenjie Feng, Shenghua Liu, Yuyang Xie, Siddharth Bhatia, Bryan Hooi, Wenhan Wang, Xueqi Cheng

Proceedings of the WSDM '22: The Fifteenth ACM International Conference on Web Search and Data Mining, Virtual Event / Tempe, AZ, USA, February 21, 2022

Learning to represent programs with heterogeneous graphs.

Kechi Zhang, Wenhan Wang, Huangzhao Zhang, Ge Li, Zhi Jin

Proceedings of the 30th IEEE/ACM International Conference on Program Comprehension, 2022

Temporal Cross-Graph Network for Brain Functional Activity Prediction.

Xinyu Yuan, Wenhan Wang, Youyong Kong, Jiasong Wu, Guanyu Yang, Huazhong Shu

Proceedings of the IEEE International Conference on Acoustics, 2022

Spatio-Temporal Attention Graph Convolution Network for Functional Connectome Classification.

Wenhan Wang, Youyong Kong, Zhenghua Hou, Chunfeng Yang, Yonggui Yuan

Proceedings of the IEEE International Conference on Acoustics, 2022

2021

Counterfactual Reward Modification for Streaming Recommendation with Delayed Feedback.

Xiao Zhang, Haonan Jia, Hanjing Su, Wenhan Wang, Jun Xu, Ji-Rong Wen

Proceedings of the SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2021

Integrating Tree Path in Transformer for Code Representation.

Han Peng, Ge Li, Wenhan Wang, Yunfei Zhao, Zhi Jin

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

2020

Modular Tree Network for Source Code Representation Learning.

Wenhan Wang, Ge Li, Sijie Shen, Xin Xia, Zhi Jin

ACM Trans. Softw. Eng. Methodol., 2020

Fast LSTM by dynamic decomposition on cloud and distributed systems.

Yang You, Yuxiong He, Samyam Rajbhandari, Wenhan Wang, Cho-Jui Hsieh, Kurt Keutzer, James Demmel

Knowl. Inf. Syst., 2020

Survey on WiFi-based indoor positioning techniques.

Fen Liu, Jing Liu, Yuqing Yin, Wenhan Wang, Donghai Hu, Pengpeng Chen, Qiang Niu

IET Commun., 2020

Learning to Represent Programs with Heterogeneous Graphs.

Wenhan Wang, Kechi Zhang, Ge Li, Zhi Jin

CoRR, 2020

Towards Full-line Code Completion with Neural Language Models.

Wenhan Wang, Sijie Shen, Ge Li, Zhi Jin

CoRR, 2020

Detecting Code Clones with Graph Neural Networkand Flow-Augmented Abstract Syntax Tree.

Wenhan Wang, Ge Li, Bo Ma, Xin Xia, Zhi Jin

CoRR, 2020

Detecting Code Clones with Graph Neural Network and Flow-Augmented Abstract Syntax Tree.

Wenhan Wang, Ge Li, Bo Ma, Xin Xia, Zhi Jin

Proceedings of the 27th IEEE International Conference on Software Analysis, 2020

2019

Accelerating Large Scale Deep Learning Inference through DeepCPU at Microsoft.

Minjia Zhang, Samyam Rajbhandari, Wenhan Wang, Elton Zheng, Olatunji Ruwase, Jeff Rasley, Jason Li, Junhua Wang, Yuxiong He

Proceedings of the 2019 USENIX Conference on Operational Machine Learning, 2019

Fast LSTM Inference by Dynamic Decomposition on Cloud Systems.

Yang You, Yuxiong He, Samyam Rajbhandari, Wenhan Wang, Cho-Jui Hsieh, Kurt Keutzer, James Demmel

Proceedings of the 2019 IEEE International Conference on Data Mining, 2019

Bamboo: Ball-Shape Data Augmentation Against Adversarial Attacks from All Directions.

Huanrui Yang, Jingchi Zhang, Hsin-Pai Cheng, Wenhan Wang, Yiran Chen, Hai Li

Proceedings of the Workshop on Artificial Intelligence Safety 2019 co-located with the Thirty-Third AAAI Conference on Artificial Intelligence 2019 (AAAI-19), 2019

2018

DeepCPU: Serving RNN-based Deep Learning Models 10x Faster.

Minjia Zhang, Samyam Rajbhandari, Wenhan Wang, Yuxiong He

Proceedings of the 2018 USENIX Annual Technical Conference, 2018

Navigating with Graph Representations for Fast and Scalable Decoding of Neural Language Models.

Minjia Zhang, Wenhan Wang, Xiaodong Liu, Jianfeng Gao, Yuxiong He

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

Learning Intrinsic Sparse Structures within Long Short-Term Memory.

Wei Wen, Yuxiong He, Samyam Rajbhandari, Minjia Zhang, Wenhan Wang, Fang Liu, Bin Hu, Yiran Chen, Hai Li

Proceedings of the 6th International Conference on Learning Representations, 2018

2017

Learning Intrinsic Sparse Structures within Long Short-term Memory.

Wei Wen, Yuxiong He, Samyam Rajbhandari, Wenhan Wang, Fang Liu, Bin Hu, Yiran Chen, Hai Li

CoRR, 2017

2013

An improved visual enhancement method for color images.

Wenhan Wang, Biao Zhang

Proceedings of the Fifth International Conference on Digital Image Processing, 2013

2012

Learning to Extract Entity Uniqueness from Web for Helping User Decision Making.

Wenhan Wang, Ning Liu, Yiran Xie

Proceedings of the 12th IEEE International Conference on Data Mining Workshops, 2012