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2020 – today
- 2025
[j8]Youyong Kong
, Xiaotong Zhang, Wenhan Wang, Yue Zhou, Yueying Li, Yonggui Yuan:
Multi-Scale Spatial-Temporal Attention Networks for Functional Connectome Classification. IEEE Trans. Medical Imaging 44(1): 475-488 (2025)- [i19]Wenhan Wang, Xuan Xie, Yuheng Huang, Renzhi Wang, An Ran Chen, Lei Ma:
Fine-grained Testing for Autonomous Driving Software: a Study on Autoware with LLM-driven Unit Testing. CoRR abs/2501.09866 (2025) - 2024
- [j7]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: 102430 (2024) - [j6]Wei Ma, Shangqing Liu, Mengjie Zhao, Xiaofei Xie, Wenhan Wang, Qiang Hu, Jie Zhang, Yang Liu:
Unveiling Code Pre-Trained Models: Investigating Syntax and Semantics Capacities. ACM Trans. Softw. Eng. Methodol. 33(7): 169:1-169:29 (2024) - [c24]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: 9287-9295 - [c23]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 - [c22]Wenhan Wang, Yanzhou Li, Anran Li, Jian Zhang, Wei Ma, Yang Liu:
An Empirical Study on Noisy Label Learning for Program Understanding. ICSE 2024: 95:1-95:12 - [c21]Jian Zhang, Chong Wang, Anran Li, Wenhan Wang, Tianlin Li, Yang Liu:
VulAdvisor: Natural Language Suggestion Generation for Software Vulnerability Repair. ASE 2024: 1932-1944 - [i18]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 abs/2403.13355 (2024) - [i17]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 abs/2406.04531 (2024) - [i16]Qingxuan Lv, Junyu Dong, Yuezun Li, Sheng Chen, Hui Yu, Shu Zhang, Wenhan Wang:
UWStereo: A Large Synthetic Dataset for Underwater Stereo Matching. CoRR abs/2409.01782 (2024) - [i15]Wenhan Wang, Kaibo Liu, An Ran Chen, Ge Li, Zhi Jin, Gang Huang, Lei Ma:
Python Symbolic Execution with LLM-powered Code Generation. CoRR abs/2409.09271 (2024) - [i14]Anran Li, Yuanyuan Chen, Chao Ren, Wenhan Wang, Ming Hu, Tianlin Li, Han Yu, Qingyu Chen:
Federated Graph Learning with Adaptive Importance-based Sampling. CoRR abs/2409.14655 (2024) - 2023
- [j5]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): 3012-3024 (2023) - [c20]Pengwei Tang, Huayi Tang, Wenhan Wang, Hanjing Su, Yong Liu:
Decouple then Combine: A Simple and Effective Framework for Fraud Transaction Detection. ACML 2023: 1353-1368 - [c19]Leheng Sheng, Wenhan Wang, Zhiyi Shi, Jichao Zhan, Youyong Kong:
Brainnetformer: Decoding Brain Cognitive States with Spatial-Temporal Cross Attention. ICASSP 2023: 1-5 - [c18]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 - [c17]Wenhan Wang, Kechi Zhang, Ge Li, Shangqing Liu, Anran Li, Zhi Jin, Yang Liu:
Learning Program Representations with a Tree-Structured Transformer. SANER 2023: 248-259 - [i13]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 abs/2305.12138 (2023) - [i12]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 abs/2307.08990 (2023) - [i11]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 abs/2312.14406 (2023) - 2022
- [j4]Jing Jiang, Wenhan Wang, Lingling Zhou:
Cascaded Coded Distributed Computing Schemes Based on Symmetric Designs. IEEE Trans. Commun. 70(11): 7179-7190 (2022) - [c16]Wenhan Wang, Youyong Kong, Zhenghua Hou, Chunfeng Yang, Yonggui Yuan:
Spatio-Temporal Attention Graph Convolution Network for Functional Connectome Classification. ICASSP 2022: 1486-1490 - [c15]Xinyu Yuan, Wenhan Wang, Youyong Kong, Jiasong Wu, Guanyu Yang, Huazhong Shu:
Temporal Cross-Graph Network for Brain Functional Activity Prediction. ICASSP 2022: 4003-4007 - [c14]Kechi Zhang, Wenhan Wang, Huangzhao Zhang, Ge Li, Zhi Jin:
Learning to represent programs with heterogeneous graphs. ICPC 2022: 378-389 - [c13]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: 976-986 - [c12]Minjia Zhang, Wenhan Wang, Yuxiong He:
GraSP: Optimizing Graph-based Nearest Neighbor Search with Subgraph Sampling and Pruning. WSDM 2022: 1395-1405 - [i10]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 abs/2201.10051 (2022) - [i9]Wenhan Wang, Kechi Zhang, Ge Li, Shangqing Liu, Zhi Jin, Yang Liu:
A Tree-structured Transformer for Program Representation Learning. CoRR abs/2208.08643 (2022) - [i8]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 abs/2210.06719 (2022) - [i7]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 abs/2212.10017 (2022) - 2021
- [c11]Han Peng, Ge Li, Wenhan Wang, Yunfei Zhao, Zhi Jin:
Integrating Tree Path in Transformer for Code Representation. NeurIPS 2021: 9343-9354 - [c10]Xiao Zhang, Haonan Jia, Hanjing Su, Wenhan Wang, Jun Xu, Ji-Rong Wen:
Counterfactual Reward Modification for Streaming Recommendation with Delayed Feedback. SIGIR 2021: 41-50 - [i6]Wenhan Wang, Ge Li, Sijie Shen, Xin Xia, Zhi Jin:
Modular Tree Network for Source Code Representation Learning. CoRR abs/2104.00196 (2021) - 2020
- [j3]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): 1372-1383 (2020) - [j2]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): 4169-4197 (2020) - [j1]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): 31:1-31:23 (2020) - [c9]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: 261-271 - [i5]Wenhan Wang, Ge Li, Bo Ma, Xin Xia, Zhi Jin:
Detecting Code Clones with Graph Neural Networkand Flow-Augmented Abstract Syntax Tree. CoRR abs/2002.08653 (2020) - [i4]Wenhan Wang, Sijie Shen, Ge Li, Zhi Jin:
Towards Full-line Code Completion with Neural Language Models. CoRR abs/2009.08603 (2020) - [i3]Wenhan Wang, Kechi Zhang, Ge Li, Zhi Jin:
Learning to Represent Programs with Heterogeneous Graphs. CoRR abs/2012.04188 (2020)
2010 – 2019
- 2019
- [c8]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 - [c7]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: 748-757 - [c6]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: 5-7 - 2018
- [c5]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 - [c4]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: 6311-6322 - [c3]Minjia Zhang, Samyam Rajbhandari, Wenhan Wang, Yuxiong He:
DeepCPU: Serving RNN-based Deep Learning Models 10x Faster. USENIX ATC 2018: 951-965 - [i2]Minjia Zhang, Xiaodong Liu, Wenhan Wang, Jianfeng Gao, Yuxiong He:
Navigating with Graph Representations for Fast and Scalable Decoding of Neural Language Models. CoRR abs/1806.04189 (2018) - 2017
- [i1]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 abs/1709.05027 (2017) - 2013
- [c2]Wenhan Wang, Biao Zhang:
An improved visual enhancement method for color images. ICDIP 2013: 88780C - 2012
- [c1]Wenhan Wang, Ning Liu, Yiran Xie:
Learning to Extract Entity Uniqueness from Web for Helping User Decision Making. ICDM Workshops 2012: 850-857
Coauthor Index
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