Wenhan Wang - RankMe

57 papers A* 9A 5C 1Misc 3Journal 32Unranked 7

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	CiQi-Agent: Aligning Vision, Tools and Aesthetics in Multimodal Agent for Cultural Reasoning on Chinese Porcelains. CoRR Wenhan Wang, Zhixiang Zhou, Zhongtian Ma, Yanzhu Chen, Ziyu Lin, Hao Sheng, Pengfei Liu, Honglin Ma, Wenqi Shao, Qiaosheng Zhang, Yu Qiao
2025	J	`jnl`	AdapSCA-PSO: An Adaptive Localization Algorithm with AI-Based Hybrid SCA-PSO for IoT WSNs. CoRR Ze Zhang, Qian Dong, Wenhan Wang
2025	J	`jnl`	Can Large Language Models Solve Path Constraints in Symbolic Execution? CoRR Wenhan Wang, Kaibo Liu, Zeyu Sun, An Ran Chen, Ge Li, Gang Huang, Lei Ma
2025	J	`jnl`	Fine-grained Testing for Autonomous Driving Software: a Study on Autoware with LLM-driven Unit Testing. CoRR Wenhan Wang, Xuan Xie, Yuheng Huang, Renzhi Wang, An Ran Chen, Lei Ma
2025	J	`jnl`	Multi-Scale Spatial-Temporal Attention Networks for Functional Connectome Classification. IEEE Trans. Medical Imaging Youyong Kong, Xiaotong Zhang, Wenhan Wang, Yue Zhou, Yueying Li, Yonggui Yuan
2025	—	`conf`	TESTEVAL: Benchmarking Large Language Models for Test Case Generation. NAACL (Findings) Wenhan Wang, Chenyuan Yang, Zhijie Wang, Yuheng Huang, Zhaoyang Chu, Da Song, Lingming Zhang, An Ran Chen, Lei Ma
2025	J	`jnl`	TopoTTA: Topology-Enhanced Test-Time Adaptation for Tubular Structure Segmentation. CoRR Jiale Zhou, Wenhan Wang, Shikun Li, Xiaolei Qu, Xin Guo, Yizhong Liu, Wenzhong Tang, Xun Lin, Yefeng Zheng
2025	J	`jnl`	UWStereo: A Large Synthetic Dataset for Underwater Stereo Matching. IEEE Trans. Circuits Syst. Video Technol. Qingxuan Lv, Junyu Dong, Yuezun Li, Sheng Chen, Hui Yu, Shu Zhang, Wenhan Wang
2024	A*	`conf`	An Empirical Study on Noisy Label Learning for Program Understanding. ICSE Wenhan Wang, Yanzhou Li, Anran Li, Jian Zhang, Wei Ma, Yang Liu
2024	A*	`conf`	BadEdit: Backdooring Large Language Models by Model Editing. ICLR Yanzhou Li, Tianlin Li, Kangjie Chen, Jian Zhang, Shangqing Liu, Wenhan Wang, Tianwei Zhang, Yang Liu
2024	J	`jnl`	BadEdit: Backdooring large language models by model editing. CoRR Yanzhou Li, Tianlin Li, Kangjie Chen, Jian Zhang, Shangqing Liu, Wenhan Wang, Tianwei Zhang, Yang Liu
2024	J	`jnl`	EH-former: Regional easy-hard-aware transformer for breast lesion segmentation in ultrasound images. Inf. Fusion Xiaolei Qu, Jiale Zhou, Jue Jiang, Wenhan Wang, Haoran Wang, Shuai Wang, Wenzhong Tang, Xun Lin
2024	J	`jnl`	Federated Graph Learning with Adaptive Importance-based Sampling. CoRR Anran Li, Yuanyuan Chen, Chao Ren, Wenhan Wang, Ming Hu, Tianlin Li, Han Yu, Qingyu Chen
2024	J	`jnl`	Python Symbolic Execution with LLM-powered Code Generation. CoRR Wenhan Wang, Kaibo Liu, An Ran Chen, Ge Li, Zhi Jin, Gang Huang, Lei Ma
2024	J	`jnl`	TESTEVAL: Benchmarking Large Language Models for Test Case Generation. CoRR Wenhan Wang, Chenyuan Yang, Zhijie Wang, Yuheng Huang, Zhaoyang Chu, Da Song, Lingming Zhang, An Ran Chen, Lei Ma
2024	J	`jnl`	UWStereo: A Large Synthetic Dataset for Underwater Stereo Matching. CoRR Qingxuan Lv, Junyu Dong, Yuezun Li, Sheng Chen, Hui Yu, Shu Zhang, Wenhan Wang
2024	J	`jnl`	Unveiling Code Pre-Trained Models: Investigating Syntax and Semantics Capacities. ACM Trans. Softw. Eng. Methodol. Wei Ma, Shangqing Liu, Mengjie Zhao, Xiaofei Xie, Wenhan Wang, Qiang Hu, Jie Zhang, Yang Liu
2024	A*	`conf`	VulAdvisor: Natural Language Suggestion Generation for Software Vulnerability Repair. ASE Jian Zhang, Chong Wang, Anran Li, Wenhan Wang, Tianlin Li, Yang Liu
2024	A*	`conf`	WaveNet: Tackling Non-stationary Graph Signals via Graph Spectral Wavelets. AAAI Zhirui Yang, Yulan Hu, Sheng Ouyang, Jingyu Liu, Shuqiang Wang, Xibo Ma, Wenhan Wang, Hanjing Su, Yong Liu
2023	J	`jnl`	An Empirical Study on the Effectiveness of Noisy Label Learning for Program Understanding. CoRR Wenhan Wang, Yanzhou Li, Anran Li, Jian Zhang, Wei Ma, Yang Liu
2023	Misc	`conf`	Brainnetformer: Decoding Brain Cognitive States with Spatial-Temporal Cross Attention. ICASSP Leheng Sheng, Wenhan Wang, Zhiyi Shi, Jichao Zhan, Youyong Kong
2023	C	`conf`	Decouple then Combine: A Simple and Effective Framework for Fraud Transaction Detection. ACML Pengwei Tang, Huayi Tang, Wenhan Wang, Hanjing Su, Yong Liu
2023	J	`jnl`	Generative Pretraining at Scale: Transformer-Based Encoding of Transactional Behavior for Fraud Detection. CoRR Ze-Yu Zhao, Zheng Zhu, Guilin Li, Wenhan Wang, Bo Wang
2023	A	`conf`	Learning Program Representations with a Tree-Structured Transformer. SANER Wenhan Wang, Kechi Zhang, Ge Li, Shangqing Liu, Anran Li, Zhi Jin, Yang Liu
2023	J	`jnl`	Multi-Connectivity Representation Learning Network for Major Depressive Disorder Diagnosis. IEEE Trans. Medical Imaging Youyong Kong, Wenhan Wang, Xiaoyun Liu, Shuwen Gao, Zhenghua Hou, Chunming Xie, Zhijun Zhang, Yonggui Yuan
2023	A*	`conf`	Reward Imputation with Sketching for Contextual Batched Bandits. NeurIPS Xiao Zhang, Ninglu Shao, Zihua Si, Jun Xu, Wenhan Wang, Hanjing Su, Ji-Rong Wen
2023	J	`jnl`	The Scope of ChatGPT in Software Engineering: A Thorough Investigation. CoRR Wei Ma, Shangqing Liu, Wenhan Wang, Qiang Hu, Ye Liu, Cen Zhang, Liming Nie, Yang Liu
2022	J	`jnl`	A Tree-structured Transformer for Program Representation Learning. CoRR Wenhan Wang, Kechi Zhang, Ge Li, Shangqing Liu, Zhi Jin, Yang Liu
2022	J	`jnl`	Cascaded Coded Distributed Computing Schemes Based on Symmetric Designs. IEEE Trans. Commun. Jing Jiang, Wenhan Wang, Lingling Zhou
2022	A	`conf`	GraSP: Optimizing Graph-based Nearest Neighbor Search with Subgraph Sampling and Pruning. WSDM Minjia Zhang, Wenhan Wang, Yuxiong He
2022	J	`jnl`	Is Self-Attention Powerful to Learn Code Syntax and Semantics? CoRR Wei Ma, Mengjie Zhao, Xiaofei Xie, Qiang Hu, Shangqing Liu, Jie Zhang, Wenhan Wang, Yang Liu
2022	A	`conf`	Learning to represent programs with heterogeneous graphs. ICPC Kechi Zhang, Wenhan Wang, Huangzhao Zhang, Ge Li, Zhi Jin
2022	A	`conf`	MonLAD: Money Laundering Agents Detection in Transaction Streams. WSDM Xiaobing Sun, Wenjie Feng, Shenghua Liu, Yuyang Xie, Siddharth Bhatia, Bryan Hooi, Wenhan Wang, Xueqi Cheng
2022	J	`jnl`	MonLAD: Money Laundering Agents Detection in Transaction Streams. CoRR Xiaobing Sun, Wenjie Feng, Shenghua Liu, Yuyang Xie, Siddharth Bhatia, Bryan Hooi, Wenhan Wang, Xueqi Cheng
2022	J	`jnl`	Partial Information as Full: Reward Imputation with Sketching in Bandits. CoRR Xiao Zhang, Ninglu Shao, Zihua Si, Jun Xu, Wenhan Wang, Hanjing Su, Ji-Rong Wen
2022	Misc	`conf`	Spatio-Temporal Attention Graph Convolution Network for Functional Connectome Classification. ICASSP Wenhan Wang, Youyong Kong, Zhenghua Hou, Chunfeng Yang, Yonggui Yuan
2022	Misc	`conf`	Temporal Cross-Graph Network for Brain Functional Activity Prediction. ICASSP Xinyu Yuan, Wenhan Wang, Youyong Kong, Jiasong Wu, Guanyu Yang, Huazhong Shu
2021	A*	`conf`	Counterfactual Reward Modification for Streaming Recommendation with Delayed Feedback. SIGIR Xiao Zhang, Haonan Jia, Hanjing Su, Wenhan Wang, Jun Xu, Ji-Rong Wen
2021	A*	`conf`	Integrating Tree Path in Transformer for Code Representation. NeurIPS Han Peng, Ge Li, Wenhan Wang, Yunfei Zhao, Zhi Jin
2021	J	`jnl`	Modular Tree Network for Source Code Representation Learning. CoRR Wenhan Wang, Ge Li, Sijie Shen, Xin Xia, Zhi Jin
2020	A	`conf`	Detecting Code Clones with Graph Neural Network and Flow-Augmented Abstract Syntax Tree. SANER Wenhan Wang, Ge Li, Bo Ma, Xin Xia, Zhi Jin
2020	J	`jnl`	Detecting Code Clones with Graph Neural Networkand Flow-Augmented Abstract Syntax Tree. CoRR Wenhan Wang, Ge Li, Bo Ma, Xin Xia, Zhi Jin
2020	J	`jnl`	Fast LSTM by dynamic decomposition on cloud and distributed systems. Knowl. Inf. Syst. Yang You, Yuxiong He, Samyam Rajbhandari, Wenhan Wang, Cho-Jui Hsieh, Kurt Keutzer, James Demmel
2020	J	`jnl`	Learning to Represent Programs with Heterogeneous Graphs. CoRR Wenhan Wang, Kechi Zhang, Ge Li, Zhi Jin
2020	J	`jnl`	Modular Tree Network for Source Code Representation Learning. ACM Trans. Softw. Eng. Methodol. Wenhan Wang, Ge Li, Sijie Shen, Xin Xia, Zhi Jin
2020	J	`jnl`	Survey on WiFi-based indoor positioning techniques. IET Commun. Fen Liu, Jing Liu, Yuqing Yin, Wenhan Wang, Donghai Hu, Pengpeng Chen, Qiang Niu
2020	J	`jnl`	Towards Full-line Code Completion with Neural Language Models. CoRR Wenhan Wang, Sijie Shen, Ge Li, Zhi Jin
2019	—	`conf`	Accelerating Large Scale Deep Learning Inference through DeepCPU at Microsoft. OpML Minjia Zhang, Samyam Rajbhandari, Wenhan Wang, Elton Zheng, Olatunji Ruwase, Jeff Rasley, Jason Li, Junhua Wang, Yuxiong He
2019	—	`conf`	Bamboo: Ball-Shape Data Augmentation Against Adversarial Attacks from All Directions. SafeAI@AAAI Huanrui Yang, Jingchi Zhang, Hsin-Pai Cheng, Wenhan Wang, Yiran Chen, Hai Li
2019	A*	`conf`	Fast LSTM Inference by Dynamic Decomposition on Cloud Systems. ICDM Yang You, Yuxiong He, Samyam Rajbhandari, Wenhan Wang, Cho-Jui Hsieh, Kurt Keutzer, James Demmel
2018	—	`conf`	DeepCPU: Serving RNN-based Deep Learning Models 10x Faster. USENIX ATC Minjia Zhang, Samyam Rajbhandari, Wenhan Wang, Yuxiong He
2018	—	`conf`	Learning Intrinsic Sparse Structures within Long Short-Term Memory. ICLR (Poster) Wei Wen, Yuxiong He, Samyam Rajbhandari, Minjia Zhang, Wenhan Wang, Fang Liu, Bin Hu, Yiran Chen, Hai Li
2018	A*	`conf`	Navigating with Graph Representations for Fast and Scalable Decoding of Neural Language Models. NeurIPS Minjia Zhang, Wenhan Wang, Xiaodong Liu, Jianfeng Gao, Yuxiong He
2018	J	`jnl`	Navigating with Graph Representations for Fast and Scalable Decoding of Neural Language Models. CoRR Minjia Zhang, Xiaodong Liu, Wenhan Wang, Jianfeng Gao, Yuxiong He
2017	J	`jnl`	Learning Intrinsic Sparse Structures within Long Short-term Memory. CoRR Wei Wen, Yuxiong He, Samyam Rajbhandari, Wenhan Wang, Fang Liu, Bin Hu, Yiran Chen, Hai Li
2013	—	`conf`	An improved visual enhancement method for color images. ICDIP Wenhan Wang, Biao Zhang
2012	—	`conf`	Learning to Extract Entity Uniqueness from Web for Helping User Decision Making. ICDM Workshops Wenhan Wang, Ning Liu, Yiran Xie