Learning to Extract Entity Uniqueness from Web for Helping User Decision Making. - Wenhan Wang; Ning Liu 001; Yiran Xie (ICDM Workshops, 2012)

An improved visual enhancement method for color images. - Wenhan Wang; Biao Zhang (ICDIP, 2013)

Learning Intrinsic Sparse Structures within Long Short-term Memory. - Wei Wen; Yuxiong He; Samyam Rajbhandari; Wenhan Wang; Fang Liu; Bin Hu; Yiran Chen 001; Hai Li 001 (CoRR, 2017)

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 001; Hai Li 001 (ICLR (Poster), 2018)

Navigating with Graph Representations for Fast and Scalable Decoding of Neural Language Models. - Minjia Zhang; Wenhan Wang; Xiaodong Liu 003; Jianfeng Gao 001; Yuxiong He (NeurIPS, 2018)

DeepCPU: Serving RNN-based Deep Learning Models 10x Faster. - Minjia Zhang; Samyam Rajbhandari; Wenhan Wang; Yuxiong He (USENIX ATC, 2018)

Bamboo: Ball-Shape Data Augmentation Against Adversarial Attacks from All Directions. - Huanrui Yang; Jingchi Zhang; Hsin-Pai Cheng; Wenhan Wang; Yiran Chen 001; Hai Li 001 (SafeAI@AAAI, 2019)

Fast LSTM Inference by Dynamic Decomposition on Cloud Systems. - Yang You 001; Yuxiong He; Samyam Rajbhandari; Wenhan Wang; Cho-Jui Hsieh; Kurt Keutzer; James Demmel (ICDM, 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 (OpML, 2019)

Detecting Code Clones with Graph Neural Network and Flow-Augmented Abstract Syntax Tree. - Wenhan Wang; Ge Li 001; Bo Ma; Xin Xia 001; Zhi Jin (SANER, 2020)

Detecting Code Clones with Graph Neural Networkand Flow-Augmented Abstract Syntax Tree. - Wenhan Wang; Ge Li 001; Bo Ma; Xin Xia 001; Zhi Jin (CoRR, 2020)

Towards Full-line Code Completion with Neural Language Models. - Wenhan Wang; Sijie Shen; Ge Li 001; Zhi Jin (CoRR, 2020)

Learning to Represent Programs with Heterogeneous Graphs. - Wenhan Wang; Kechi Zhang; Ge Li 001; Zhi Jin (CoRR, 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)

Fast LSTM by dynamic decomposition on cloud and distributed systems. - Yang You 001; Yuxiong He; Samyam Rajbhandari; Wenhan Wang; Cho-Jui Hsieh; Kurt Keutzer; James Demmel (Knowl. Inf. Syst., 2020)

Modular Tree Network for Source Code Representation Learning. - Wenhan Wang; Ge Li 001; Sijie Shen; Xin Xia 001; Zhi Jin (ACM Trans. Softw. Eng. Methodol., 2020)

Integrating Tree Path in Transformer for Code Representation. - Han Peng; Ge Li 001; Wenhan Wang; Yunfei Zhao; Zhi Jin (NeurIPS, 2021)

Counterfactual Reward Modification for Streaming Recommendation with Delayed Feedback. - Xiao Zhang 034; Haonan Jia; Hanjing Su; Wenhan Wang; Jun Xu 001; Ji-Rong Wen (SIGIR, 2021)

Spatio-Temporal Attention Graph Convolution Network for Functional Connectome Classification. - Wenhan Wang; Youyong Kong; Zhenghua Hou; Chunfeng Yang; Yonggui Yuan (ICASSP, 2022)

Temporal Cross-Graph Network for Brain Functional Activity Prediction. - Xinyu Yuan; Wenhan Wang; Youyong Kong; Jiasong Wu; Guanyu Yang 001; Huazhong Shu (ICASSP, 2022)

Learning to represent programs with heterogeneous graphs. - Kechi Zhang; Wenhan Wang; Huangzhao Zhang; Ge Li 001; Zhi Jin (ICPC, 2022)

MonLAD: Money Laundering Agents Detection in Transaction Streams. - Xiaobing Sun; Wenjie Feng 001; Shenghua Liu; Yuyang Xie; Siddharth Bhatia 001; Bryan Hooi; Wenhan Wang; Xueqi Cheng (WSDM, 2022)

GraSP: Optimizing Graph-based Nearest Neighbor Search with Subgraph Sampling and Pruning. - Minjia Zhang; Wenhan Wang; Yuxiong He (WSDM, 2022)

A Tree-structured Transformer for Program Representation Learning. - Wenhan Wang; Kechi Zhang; Ge Li 001; Shangqing Liu; Zhi Jin; Yang Liu 003 (CoRR, 2022)

Partial Information as Full: Reward Imputation with Sketching in Bandits. - Xiao Zhang 034; Ninglu Shao; Zihua Si; Jun Xu 001; Wenhan Wang; Hanjing Su; Ji-Rong Wen (CoRR, 2022)

Is Self-Attention Powerful to Learn Code Syntax and Semantics? - Wei Ma; Mengjie Zhao; Xiaofei Xie; Qiang Hu; Shangqing Liu; Jie Zhang 050; Wenhan Wang; Yang Liu 003 (CoRR, 2022)

Cascaded Coded Distributed Computing Schemes Based on Symmetric Designs. - Jing Jiang 003; Wenhan Wang; Lingling Zhou (IEEE Trans. Commun., 2022)

Decouple then Combine: A Simple and Effective Framework for Fraud Transaction Detection. - Pengwei Tang; Huayi Tang; Wenhan Wang; Hanjing Su; Yong Liu (ACML, 2023)

Brainnetformer: Decoding Brain Cognitive States with Spatial-Temporal Cross Attention. - Leheng Sheng; Wenhan Wang; Zhiyi Shi; Jichao Zhan; Youyong Kong (ICASSP, 2023)

Reward Imputation with Sketching for Contextual Batched Bandits. - Xiao Zhang 034; Ninglu Shao; Zihua Si; Jun Xu 001; Wenhan Wang; Hanjing Su; Ji-Rong Wen (NeurIPS, 2023)

Learning Program Representations with a Tree-Structured Transformer. - Wenhan Wang; Kechi Zhang; Ge Li 001; Shangqing Liu; Anran Li 001; Zhi Jin; Yang Liu 003 (SANER, 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 003 (CoRR, 2023)

An Empirical Study on the Effectiveness of Noisy Label Learning for Program Understanding. - Wenhan Wang; Yanzhou Li; Anran Li 001; Jian Zhang 087; Wei Ma; Yang Liu 003 (CoRR, 2023)

Generative Pretraining at Scale: Transformer-Based Encoding of Transactional Behavior for Fraud Detection. - Ze-Yu Zhao; Zheng Zhu; Guilin Li 001; Wenhan Wang; Bo Wang (CoRR, 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 010; Yonggui Yuan (IEEE Trans. Medical Imaging, 2023)

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 018 (AAAI, 2024)

BadEdit: Backdooring Large Language Models by Model Editing. - Yanzhou Li; Tianlin Li; Kangjie Chen; Jian Zhang 087; Shangqing Liu; Wenhan Wang; Tianwei Zhang 004; Yang Liu 003 (ICLR, 2024)

An Empirical Study on Noisy Label Learning for Program Understanding. - Wenhan Wang; Yanzhou Li; Anran Li 001; Jian Zhang 087; Wei Ma; Yang Liu 003 (ICSE, 2024)

VulAdvisor: Natural Language Suggestion Generation for Software Vulnerability Repair. - Jian Zhang 087; Chong Wang 013; Anran Li 001; Wenhan Wang; Tianlin Li; Yang Liu 003 (ASE, 2024)

UWStereo: A Large Synthetic Dataset for Underwater Stereo Matching. - Qingxuan Lv; Junyu Dong; Yuezun Li; Sheng Chen 001; Hui Yu 001; Shu Zhang 002; Wenhan Wang (CoRR, 2024)

Python Symbolic Execution with LLM-powered Code Generation. - Wenhan Wang; Kaibo Liu; An Ran Chen; Ge Li 001; Zhi Jin; Gang Huang 001; Lei Ma 003 (CoRR, 2024)

Federated Graph Learning with Adaptive Importance-based Sampling. - Anran Li 001; Yuanyuan Chen; Chao Ren 006; Wenhan Wang; Ming Hu 003; Tianlin Li; Han Yu 001; Qingyu Chen (CoRR, 2024)

EH-former: Regional easy-hard-aware transformer for breast lesion segmentation in ultrasound images. - Xiaolei Qu; Jiale Zhou; Jue Jiang; Wenhan Wang; Haoran Wang; Shuai Wang 049; Wenzhong Tang; Xun Lin (Inf. Fusion, 2024)

Unveiling Code Pre-Trained Models: Investigating Syntax and Semantics Capacities. - Wei Ma; Shangqing Liu; Mengjie Zhao; Xiaofei Xie; Wenhan Wang; Qiang Hu; Jie Zhang 050; Yang Liu 003 (ACM Trans. Softw. Eng. Methodol., 2024)

TESTEVAL: Benchmarking Large Language Models for Test Case Generation. - Wenhan Wang; Chenyuan Yang; Zhijie Wang 014; Yuheng Huang 004; Zhaoyang Chu; Da Song; Lingming Zhang; An Ran Chen; Lei Ma 003 (NAACL (Findings), 2025)

Fine-grained Testing for Autonomous Driving Software: a Study on Autoware with LLM-driven Unit Testing. - Wenhan Wang; Xuan Xie; Yuheng Huang 004; Renzhi Wang; An Ran Chen; Lei Ma 003 (CoRR, 2025)

Multi-Scale Spatial-Temporal Attention Networks for Functional Connectome Classification. - Youyong Kong; Xiaotong Zhang; Wenhan Wang; Yue Zhou; Yueying Li; Yonggui Yuan (IEEE Trans. Medical Imaging, 2025)

AdapSCA-PSO: An Adaptive Localization Algorithm with AI-Based Hybrid SCA-PSO for IoT WSNs. - Ze Zhang; Qian Dong; Wenhan Wang (CoRR, 2025)