• case-insensitive prefix search: default
  e.g., sig matches "SIGIR" as well as "signal"
• exact word search: append dollar sign ($) to word
  e.g., graph$ matches "graph", but not "graphics"
• boolean and: separate words by space
  e.g., codd model
• boolean or: connect words by pipe symbol (|)
  e.g., graph|network

Update May 7, 2017: Please note that we had to disable the phrase search operator (.) and the boolean not operator (-) due to technical problems. For the time being, phrase search queries will yield regular prefix search result, and search terms preceded by a minus will be interpreted as regular (positive) search terms.

found 53 matches

• 2025
• 
  Jun Zeng, Hongjin Tao, Haoran Tang, Junhao Wen, Min Gao:
  Global and local hypergraph learning method with semantic enhancement for POI recommendation. Inf. Process. Manag. 62(1): 103868 (2025)
• 2024
• 
  Hongjing Guo, Chuanqi Tao, Zhiqiu Huang:
  Neuron importance-aware coverage analysis for deep neural network testing. Empir. Softw. Eng. 29(5): 118 (2024)
• 
  Li Li, Chuanqi Tao, Hongjing Guo, Jingxuan Zhang, Xiaobing Sun:
  FATS: Feature Distribution Analysis-Based Test Selection for Deep Learning Enhancement. IEEE Trans. Big Data 10(2): 132-145 (2024)
• 
  Chuanqi Tao, Fengyu Wang, Yuemeng Gao, Hongjing Guo, Jerry Gao:
  A reinforcement learning-based approach to testing GUI of moblie applications. World Wide Web (WWW) 27(2): 16 (2024)
• 
  Yiheng Xu, Hongjin Su, Chen Xing, Boyu Mi, Qian Liu, Weijia Shi, Binyuan Hui, Fan Zhou, Yitao Liu, Tianbao Xie, Zhoujun Cheng, Siheng Zhao, Lingpeng Kong, Bailin Wang, Caiming Xiong, Tao Yu:
  Lemur: Harmonizing Natural Language and Code for Language Agents. ICLR 2024
• 
  Niklas Muennighoff, Hongjin Su, Liang Wang, Nan Yang, Furu Wei, Tao Yu, Amanpreet Singh, Douwe Kiela:
  Generative Representational Instruction Tuning. CoRR abs/2402.09906 (2024)
• 
  Hongjin Su, Shuyang Jiang, Yuhang Lai, Haoyuan Wu, Boao Shi, Che Liu, Qian Liu, Tao Yu:
  ARKS: Active Retrieval in Knowledge Soup for Code Generation. CoRR abs/2402.12317 (2024)
• 
  Hongjin Su, Howard Yen, Mengzhou Xia, Weijia Shi, Niklas Muennighoff, Han-yu Wang, Haisu Liu, Quan Shi, Zachary S. Siegel, Michael Tang, Ruoxi Sun, Jinsung Yoon, Sercan Ö. Arik, Danqi Chen, Tao Yu:
  BRIGHT: A Realistic and Challenging Benchmark for Reasoning-Intensive Retrieval. CoRR abs/2407.12883 (2024)
• 2023
• 
  Lin Zhong, Jun Zeng, Yang Yu, Hongjin Tao, Wenying Jiang, Luxi Cheng:
  A text matching model based on dynamic multi-mask and augmented adversarial. Expert Syst. J. Knowl. Eng. 40(2) (2023)
• 
  Jun Zeng, Yizhu Zhao, Ziwei Wang, Hongjin Tao, Min Gao, Junhao Wen:
  LGSA: A next POI prediction method by using local and global interest with spatiotemporal awareness. Expert Syst. Appl. 227: 120291 (2023)
• 
  Chuanqi Tao, Yali Tao, Hongjing Guo, Zhiqiu Huang, Xiaobing Sun:
  DLRegion: Coverage-guided fuzz testing of deep neural networks with region-based neuron selection strategies. Inf. Softw. Technol. 162: 107266 (2023)
• 
  Mingke Wang, Chuanqi Tao, Hongjing Guo:
  LCVD: Loop-oriented code vulnerability detection via graph neural network. J. Syst. Softw. 202: 111706 (2023)
• 
  Chuanqi Tao, Hongjing Guo, Jingxuan Zhang, Zhiqiu Huang:
  Supporting maintenance and testing for AI functions of mobile apps based on user reviews: An empirical study on plant identification apps. J. Softw. Evol. Process. 35(11) (2023)
• 
  Ziqiang Li, Pengfei Xia, Rentuo Tao, Hongjing Niu, Bin Li:
  A New Perspective on Stabilizing GANs Training: Direct Adversarial Training. IEEE Trans. Emerg. Top. Comput. Intell. 7(1): 178-189 (2023)
• 
  Hongjin Su, Weijia Shi, Jungo Kasai, Yizhong Wang, Yushi Hu, Mari Ostendorf, Wen-tau Yih, Noah A. Smith, Luke Zettlemoyer, Tao Yu:
  One Embedder, Any Task: Instruction-Finetuned Text Embeddings. ACL (Findings) 2023: 1102-1121
• 
  Hongjin Su, Jungo Kasai, Chen Henry Wu, Weijia Shi, Tianlu Wang, Jiayi Xin, Rui Zhang, Mari Ostendorf, Luke Zettlemoyer, Noah A. Smith, Tao Yu:
  Selective Annotation Makes Language Models Better Few-Shot Learners. ICLR 2023
• 
  Hongjin Tao, Jun Zeng, Ziwei Wang, Min Gao, Junhao Wen:
  Next POI Recommendation Based on Spatial and Temporal Disentanglement Representation. ICWS 2023: 84-90
• 
  Hongjin Tao, Jun Zeng, Yang Yu, Ziwei Wang, Xiaolin Hu:
  SynC: A Dense Retrieval Method based on Syntactical Contrastive Learning. IJCNN 2023: 1-8
• 
  Ziwei Wang, Jun Zeng, Hongjin Tao, Lin Zhong:
  RBPSum: An extractive summarization approach using Bi-Stream Attention and Position Residual Connection. IJCNN 2023: 1-8
• 
  Hongjing Guo, Chuanqi Tao, Zhiqiu Huang:
  Multi-Objective White-Box Test Input Selection for Deep Neural Network Model Enhancement. ISSRE 2023: 521-532
• 
  Jin Zhu, Chuanqi Tao, Hongjing Guo, Yue Ju:
  DeepTD: Diversity-Guided Deep Neural Network Test Generation. SETTA 2023: 419-433
• 
  Yiheng Xu, Hongjin Su, Chen Xing, Boyu Mi, Qian Liu, Weijia Shi, Binyuan Hui, Fan Zhou, Yitao Liu, Tianbao Xie, Zhoujun Cheng, Siheng Zhao, Lingpeng Kong, Bailin Wang, Caiming Xiong, Tao Yu:
  Lemur: Harmonizing Natural Language and Code for Language Agents. CoRR abs/2310.06830 (2023)
• 
  Tianbao Xie, Fan Zhou, Zhoujun Cheng, Peng Shi, Luoxuan Weng, Yitao Liu, Toh Jing Hua, Junning Zhao, Qian Liu, Che Liu, Leo Z. Liu, Yiheng Xu, Hongjin Su, Dongchan Shin, Caiming Xiong, Tao Yu:
  OpenAgents: An Open Platform for Language Agents in the Wild. CoRR abs/2310.10634 (2023)
• 2022
• 
  Tao Wu, Honghui Fan, Hongjin Zhu, Congzhe You, Hongyan Zhou, Xianzhen Huang:
  Intrusion detection system combined enhanced random forest with SMOTE algorithm. EURASIP J. Adv. Signal Process. 2022(1): 39 (2022)
• 
  Chuanqi Tao, Tao Wang, Hongjing Guo, Jingxuan Zhang:
  An Approach to Software Defect Prediction Combining Semantic Features and Code Changes. Int. J. Softw. Eng. Knowl. Eng. 32(9): 1345-1368 (2022)
• 
  Yali Tao, Chuanqi Tao, Hongjing Guo, Bohan Li:
  TPFL: Test Input Prioritization for Deep Neural Networks Based on Fault Localization. ADMA (1) 2022: 368-383
• 
  Xiaomin Li, Chuanqi Tao, Jerry Gao, Hongjing Guo:
  A Review of Quality Assurance Research of Dialogue Systems. AITest 2022: 87-94
• 
  Yuemeng Gao, Chuanqi Tao, Hongjing Guo, Jerry Gao:
  A Deep Reinforcement Learning-Based Approach for Android GUI Testing. APWeb/WAIM (3) 2022: 262-276
• 
  Mengyao Chen, Chuanqi Tao, Hongjing Guo:
  Understanding Security Issues based on App Comment Analysis. DSA 2022: 893-902
• 
  Lijin Tang, Chuanqi Tao, Hongjing Guo, Jingxuan Zhang:
  Software Defect Prediction via GCN based on Structural and Context Information. DSA 2022: 310-319

skipping 23 more matches