Wenhan Wang

Publication Activity (10 Years)

Years Active: 2012-2024
Publications (10 Years): 43

Top Topics

Lesion Segmentation

Graph Representations

Delayed Feedback

Top Venues

Publications

Xiaolei Qu, Jiale Zhou, Jue Jiang, Wenhan Wang, Haoran Wang, Shuai Wang, Wenzhong Tang, Xun Lin
EH-former: Regional easy-hard-aware transformer for breast lesion segmentation in ultrasound images. Inf. Fusion 109 (2024)
Yanzhou Li, Tianlin Li, Kangjie Chen, Jian Zhang, Shangqing Liu, Wenhan Wang, Tianwei Zhang, Yang Liu
BadEdit: Backdooring Large Language Models by Model Editing. ICLR (2024)
Yanzhou Li, Tianlin Li, Kangjie Chen, Jian Zhang, Shangqing Liu, Wenhan Wang, Tianwei Zhang, Yang Liu
BadEdit: Backdooring large language models by model editing. CoRR (2024)
Wenhan Wang, Chenyuan Yang, Zhijie Wang, Yuheng Huang, Zhaoyang Chu, Da Song, Lingming Zhang, An Ran Chen, Lei Ma
TESTEVAL: Benchmarking Large Language Models for Test Case Generation. CoRR (2024)
Wenhan Wang, Yanzhou Li, Anran Li, Jian Zhang, Wei Ma, Yang Liu
An Empirical Study on Noisy Label Learning for Program Understanding. ICSE (2024)
Zhirui Yang, Yulan Hu, Sheng Ouyang, Jingyu Liu, Shuqiang Wang, Xibo Ma, Wenhan Wang, Hanjing Su, Yong Liu
WaveNet: Tackling Non-stationary Graph Signals via Graph Spectral Wavelets. AAAI (2024)
Youyong Kong, Wenhan Wang, Xiaoyun Liu, Shuwen Gao, Zhenghua Hou, Chunming Xie, Zhijun Zhang, Yonggui Yuan
Multi-Connectivity Representation Learning Network for Major Depressive Disorder Diagnosis. IEEE Trans. Medical Imaging 42 (10) (2023)
Leheng Sheng, Wenhan Wang, Zhiyi Shi, Jichao Zhan, Youyong Kong
Brainnetformer: Decoding Brain Cognitive States with Spatial-Temporal Cross Attention. ICASSP (2023)
Wei Ma, Shangqing Liu, Wenhan Wang, Qiang Hu, Ye Liu, Cen Zhang, Liming Nie, Yang Liu
The Scope of ChatGPT in Software Engineering: A Thorough Investigation. CoRR (2023)
Ze-Yu Zhao, Zheng Zhu, Guilin Li, Wenhan Wang, Bo Wang
Generative Pretraining at Scale: Transformer-Based Encoding of Transactional Behavior for Fraud Detection. CoRR (2023)
Xiao Zhang, Ninglu Shao, Zihua Si, Jun Xu, Wenhan Wang, Hanjing Su, Ji-Rong Wen
Reward Imputation with Sketching for Contextual Batched Bandits. NeurIPS (2023)
Wenhan Wang, Kechi Zhang, Ge Li, Shangqing Liu, Anran Li, Zhi Jin, Yang Liu
Learning Program Representations with a Tree-Structured Transformer. SANER (2023)
Wenhan Wang, Yanzhou Li, Anran Li, Jian Zhang, Wei Ma, Yang Liu
An Empirical Study on the Effectiveness of Noisy Label Learning for Program Understanding. CoRR (2023)
Pengwei Tang, Huayi Tang, Wenhan Wang, Hanjing Su, Yong Liu
Decouple then Combine: A Simple and Effective Framework for Fraud Transaction Detection. ACML (2023)
Xiaobing Sun, Wenjie Feng, Shenghua Liu, Yuyang Xie, Siddharth Bhatia, Bryan Hooi, Wenhan Wang, Xueqi Cheng
MonLAD: Money Laundering Agents Detection in Transaction Streams. CoRR (2022)
Xiao Zhang, Ninglu Shao, Zihua Si, Jun Xu, Wenhan Wang, Hanjing Su, Ji-Rong Wen
Partial Information as Full: Reward Imputation with Sketching in Bandits. CoRR (2022)
Xiaobing Sun, Wenjie Feng, Shenghua Liu, Yuyang Xie, Siddharth Bhatia, Bryan Hooi, Wenhan Wang, Xueqi Cheng
MonLAD: Money Laundering Agents Detection in Transaction Streams. WSDM (2022)
Minjia Zhang, Wenhan Wang, Yuxiong He
GraSP: Optimizing Graph-based Nearest Neighbor Search with Subgraph Sampling and Pruning. WSDM (2022)
Wenhan Wang, Youyong Kong, Zhenghua Hou, Chunfeng Yang, Yonggui Yuan
Spatio-Temporal Attention Graph Convolution Network for Functional Connectome Classification. ICASSP (2022)
Wei Ma, Mengjie Zhao, Xiaofei Xie, Qiang Hu, Shangqing Liu, Jie Zhang, Wenhan Wang, Yang Liu
Is Self-Attention Powerful to Learn Code Syntax and Semantics? CoRR (2022)
Jing Jiang, Wenhan Wang, Lingling Zhou
Cascaded Coded Distributed Computing Schemes Based on Symmetric Designs. IEEE Trans. Commun. 70 (11) (2022)
Kechi Zhang, Wenhan Wang, Huangzhao Zhang, Ge Li, Zhi Jin
Learning to represent programs with heterogeneous graphs. ICPC (2022)
Xinyu Yuan, Wenhan Wang, Youyong Kong, Jiasong Wu, Guanyu Yang, Huazhong Shu
Temporal Cross-Graph Network for Brain Functional Activity Prediction. ICASSP (2022)
Wenhan Wang, Kechi Zhang, Ge Li, Shangqing Liu, Zhi Jin, Yang Liu
A Tree-structured Transformer for Program Representation Learning. CoRR (2022)
Shiming Chen, Ziming Hong, Guo-Sen Xie, Wenhan Wang, Qinmu Peng, Kai Wang, Jian Zhao, Xinge You
MSDN: Mutually Semantic Distillation Network for Zero-Shot Learning. CoRR (2022)
Han Peng, Ge Li, Wenhan Wang, Yunfei Zhao, Zhi Jin
Integrating Tree Path in Transformer for Code Representation. NeurIPS (2021)
Xiao Zhang, Haonan Jia, Hanjing Su, Wenhan Wang, Jun Xu, Ji-Rong Wen
Counterfactual Reward Modification for Streaming Recommendation with Delayed Feedback. SIGIR (2021)
Wenhan Wang, Ge Li, Sijie Shen, Xin Xia, Zhi Jin
Modular Tree Network for Source Code Representation Learning. CoRR (2021)
Yang You, Yuxiong He, Samyam Rajbhandari, Wenhan Wang, Cho-Jui Hsieh, Kurt Keutzer, James Demmel
Fast LSTM by dynamic decomposition on cloud and distributed systems. Knowl. Inf. Syst. 62 (11) (2020)
Wenhan Wang, Ge Li, Sijie Shen, Xin Xia, Zhi Jin
Modular Tree Network for Source Code Representation Learning. ACM Trans. Softw. Eng. Methodol. 29 (4) (2020)
Fen Liu, Jing Liu, Yuqing Yin, Wenhan Wang, Donghai Hu, Pengpeng Chen, Qiang Niu
Survey on WiFi-based indoor positioning techniques. IET Commun. 14 (9) (2020)
Wenhan Wang, Sijie Shen, Ge Li, Zhi Jin
Towards Full-line Code Completion with Neural Language Models. CoRR (2020)
Wenhan Wang, Ge Li, Bo Ma, Xin Xia, Zhi Jin
Detecting Code Clones with Graph Neural Networkand Flow-Augmented Abstract Syntax Tree. CoRR (2020)
Wenhan Wang, Ge Li, Bo Ma, Xin Xia, Zhi Jin
Detecting Code Clones with Graph Neural Network and Flow-Augmented Abstract Syntax Tree. SANER (2020)
Wenhan Wang, Kechi Zhang, Ge Li, Zhi Jin
Learning to Represent Programs with Heterogeneous Graphs. CoRR (2020)
Yang You, Yuxiong He, Samyam Rajbhandari, Wenhan Wang, Cho-Jui Hsieh, Kurt Keutzer, James Demmel
Fast LSTM Inference by Dynamic Decomposition on Cloud Systems. ICDM (2019)
Minjia Zhang, Samyam Rajbhandari, Wenhan Wang, Elton Zheng, Olatunji Ruwase, Jeff Rasley, Jason Li, Junhua Wang, Yuxiong He
Accelerating Large Scale Deep Learning Inference through DeepCPU at Microsoft. OpML (2019)
Huanrui Yang, Jingchi Zhang, Hsin-Pai Cheng, Wenhan Wang, Yiran Chen, Hai Li
Bamboo: Ball-Shape Data Augmentation Against Adversarial Attacks from All Directions. SafeAI@AAAI (2019)
Wei Wen, Yuxiong He, Samyam Rajbhandari, Minjia Zhang, Wenhan Wang, Fang Liu, Bin Hu, Yiran Chen, Hai Li
Learning Intrinsic Sparse Structures within Long Short-Term Memory. ICLR (Poster) (2018)
Minjia Zhang, Samyam Rajbhandari, Wenhan Wang, Yuxiong He
DeepCPU: Serving RNN-based Deep Learning Models 10x Faster. USENIX Annual Technical Conference (2018)
Minjia Zhang, Xiaodong Liu, Wenhan Wang, Jianfeng Gao, Yuxiong He
Navigating with Graph Representations for Fast and Scalable Decoding of Neural Language Models. CoRR (2018)
Minjia Zhang, Wenhan Wang, Xiaodong Liu, Jianfeng Gao, Yuxiong He
Navigating with Graph Representations for Fast and Scalable Decoding of Neural Language Models. NeurIPS (2018)
Wei Wen, Yuxiong He, Samyam Rajbhandari, Wenhan Wang, Fang Liu, Bin Hu, Yiran Chen, Hai Li
Learning Intrinsic Sparse Structures within Long Short-term Memory. CoRR (2017)
Wenhan Wang, Biao Zhang
An improved visual enhancement method for color images. ICDIP (2013)
Wenhan Wang, Ning Liu, Yiran Xie
Learning to Extract Entity Uniqueness from Web for Helping User Decision Making. ICDM Workshops (2012)