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2020 – today
- 2024
[c62]Zhenhao Zhou
, Chaofeng Sha, Xin Peng:
On Calibration of Pre-trained Code Models. ICSE 2024: 77:1-77:13- [c61]Xueying Du, Mingwei Liu, Kaixin Wang, Hanlin Wang, Junwei Liu, Yixuan Chen, Jiayi Feng, Chaofeng Sha, Xin Peng, Yiling Lou:
Evaluating Large Language Models in Class-Level Code Generation. ICSE 2024: 81:1-81:13 - 2023
- [j10]Sihang Jiang, Jianchuan Feng, Chao Wang, Jingping Liu, Zhuozhi Xiong, Chaofeng Sha, Weiguo Zheng, Jiaqing Liang, Yanghua Xiao:
EASC: An exception-aware semantic compression framework for real-world knowledge graphs. Knowl. Based Syst. 278: 110900 (2023) - [j9]Mingwei Liu, Chengyuan Zhao, Xin Peng, Simin Yu, Haofen Wang, Chaofeng Sha:
Task-Oriented ML/DL Library Recommendation Based on a Knowledge Graph. IEEE Trans. Software Eng. 49(8): 4081-4096 (2023) - [c60]Xinbiao Liu, Bin Liang, Junyu Niu, Chaofeng Sha, Dong Wu:
Dual-graph co-representation learning for knowledge-Graph Enhanced Recommendation. ICASSP 2023: 1-5 - [c59]Shenglin Bao, Chaofeng Sha, Bihuan Chen, Xin Peng, Wenyun Zhao:
In Defense of Simple Techniques for Neural Network Test Case Selection. ISSTA 2023: 501-513 - [c58]Jiaxing Liu, Chaofeng Sha, Xin Peng:
An Empirical Study of Parameter-Efficient Fine-Tuning Methods for Pre-Trained Code Models. ASE 2023: 397-408 - [c57]Jiaxing Liu, Chaofeng Sha, Xin Peng:
Improving Fine-tuning Pre-trained Models on Small Source Code Datasets via Variational Information Bottleneck. SANER 2023: 331-342 - [i2]Xueying Du, Mingwei Liu, Kaixin Wang, Hanlin Wang, Junwei Liu, Yixuan Chen, Jiayi Feng, Chaofeng Sha, Xin Peng, Yiling Lou:
ClassEval: A Manually-Crafted Benchmark for Evaluating LLMs on Class-level Code Generation. CoRR abs/2308.01861 (2023) - 2022
- [c56]Bo Xu, Shizhou Huang, Ming Du, Hongya Wang, Hui Song, Chaofeng Sha, Yanghua Xiao:
Different Data, Different Modalities! Reinforced Data Splitting for Effective Multimodal Information Extraction from Social Media Posts. COLING 2022: 1855-1864 - [c55]Xingyu Zhang, Chaofeng Sha:
Fully Utilizing Neighbors for Session-Based Recommendation with Graph Neural Networks. DASFAA (2) 2022: 36-52 - [c54]Bo Xu, Zhengqi Zhang, Chaofeng Sha, Ming Du, Hui Song, Hongya Wang:
A Three-Stage Curriculum Learning Framework with Hierarchical Label Smoothing for Fine-Grained Entity Typing. DASFAA (3) 2022: 289-296 - [c53]Chenxi Zhang, Xin Peng, Chaofeng Sha, Ke Zhang, Zhenqing Fu, Xiya Wu, Qingwei Lin, Dongmei Zhang:
DeepTraLog: Trace-Log Combined Microservice Anomaly Detection through Graph-based Deep Learning. ICSE 2022: 623-634 - [c52]Ke Zhang, Chenxi Zhang, Xin Peng, Chaofeng Sha:
PUTraceAD: Trace Anomaly Detection with Partial Labels based on GNN and PU Learning. ISSRE 2022: 239-250 - [c51]Bin Hu, Yijian Wu, Xin Peng, Chaofeng Sha, Xiaochen Wang, Baiqiang Fu, Wenyun Zhao:
Predicting change propagation between code clone instances by graph-based deep learning. ICPC 2022: 425-436 - [c50]Chenxi Zhang, Xin Peng, Tong Zhou, Chaofeng Sha, Zhenghui Yan, Yiru Chen, Hong Yang:
TraceCRL: contrastive representation learning for microservice trace analysis. ESEC/SIGSOFT FSE 2022: 1221-1232 - [c49]Yi Liu, Yadong Yan, Chaofeng Sha, Xin Peng, Bihuan Chen, Chong Wang:
DeepAnna: Deep Learning based Java Annotation Recommendation and Misuse Detection. SANER 2022: 685-696 - [c48]Xiaoning Zhu, Chaofeng Sha, Junyu Niu:
A Simple Retrieval-based Method for Code Comment Generation. SANER 2022: 1089-1100 - [c47]Bo Xu, Shizhou Huang, Chaofeng Sha, Hongya Wang:
MAF: A General Matching and Alignment Framework for Multimodal Named Entity Recognition. WSDM 2022: 1215-1223 - 2021
- [c46]Zeyuan Wang, Chaofeng Sha, Su Yang:
Reinforcement Learning Based Sparse Black-box Adversarial Attack on Video Recognition Models. IJCAI 2021: 3162-3168 - [c45]Bo Xu, Xiangsan Zhao, Chaofeng Sha, Minjun Zhang, Hui Song:
Reinforced Natural Language Inference for Distantly Supervised Relation Classification. PAKDD (3) 2021: 364-376 - [c44]Bofeng Chen, Jingdong Li, Xingjian Lu, Chaofeng Sha, Xiaoling Wang, Ji Zhang:
Incorporating Network Structure with Node Information for Semi-supervised Anomaly Detection on Attributed Graphs. WISE (1) 2021: 242-257 - [i1]Zeyuan Wang, Chaofeng Sha, Su Yang:
Reinforcement Learning Based Sparse Black-box Adversarial Attack on Video Recognition Models. CoRR abs/2108.13872 (2021)
2010 – 2019
- 2019
- [j8]Bin Liang, Chaofeng Sha, Dong Wu, Bo Xu, Yanghua Xiao, Wei Wang:
ACCF: Learning Attentional Conformity for Collaborative Filtering. IEEE Access 7: 148541-148549 (2019) - [c43]Cheng Hu, Peijian He, Chaofeng Sha, Junyu Niu:
Memory-Augmented Attention Network for Sequential Recommendation. WISE 2019: 228-242 - [c42]Xu Luo, Chaofeng Sha, Zijing Tan, Junyu Niu:
Multi-head Attentive Social Recommendation. WISE 2019: 243-258 - 2018
- [c41]Ye Li, Chaofeng Sha, Xin Huang, Yanchun Zhang:
Community Detection in Attributed Graphs: An Embedding Approach. AAAI 2018: 338-345 - [c40]Tong Wu, Chaofeng Sha, Xiaoling Wang:
Multiple Meta Paths Combined for Vertex Embedding in Heterogeneous Networks. Big Data (CCF) 2018: 160-177 - 2017
- [c39]Xiaolu Xing, Chaofeng Sha, Junyu Niu:
Improving Topic Diversity in Recommendation Lists: Marginally or Proportionally? APWeb/WAIM (2) 2017: 142-150 - 2016
- [j7]Keqiang Wang, Hongwei Peng, Yuanyuan Jin, Chaofeng Sha, Xiaoling Wang:
Local Weighted Matrix Factorization for Top-n Recommendation with Implicit Feedback. Data Sci. Eng. 1(4): 252-264 (2016) - [j6]Chaofeng Sha, Keqiang Wang, Dell Zhang, Xiaoling Wang, Aoying Zhou:
Optimizing top-k retrieval: submodularity analysis and search strategies. Frontiers Comput. Sci. 10(3): 477-487 (2016) - [j5]Chu He, Zijing Tan, Qing Chen, Chaofeng Sha:
Repair diversification: A new approach for data repairing. Inf. Sci. 346-347: 90-105 (2016) - [c38]Keqiang Wang, Xiaoyi Duan, Jiansong Ma, Chaofeng Sha, Xiaoling Wang, Aoying Zhou:
Local Weighted Matrix Factorization for Implicit Feedback Datasets. DASFAA (1) 2016: 381-395 - [c37]Chaofeng Sha, Xiaowei Wu, Junyu Niu:
A Framework for Recommending Relevant and Diverse Items. IJCAI 2016: 3868-3874 - 2015
- [j4]Rong Zhang, Wenzhe Yu, Chaofeng Sha, Xiaofeng He, Aoying Zhou:
Product-oriented review summarization and scoring. Frontiers Comput. Sci. 9(2): 210-223 (2015) - [j3]Xiuxia Tian, Ling Huang, Yong Wang, Chaofeng Sha, Xiaoling Wang:
DualAcE: fine-grained dual access control enforcement with multi-privacy guarantee in DaaS. Secur. Commun. Networks 8(8): 1494-1508 (2015) - [c36]Qing Chen, Zijing Tan, Chu He, Chaofeng Sha, Wei Wang:
Repairing Functional Dependency Violations in Distributed Data. DASFAA (1) 2015: 441-457 - 2014
- [j2]Haoji Hu, Chaofeng Sha, Xiaoling Wang, Aoying Zhou:
A unified framework for semi-supervised PU learning. World Wide Web 17(4): 493-510 (2014) - [c35]Chaofeng Sha, Keqiang Wang, Kai Zhang, Xiaoling Wang, Aoying Zhou:
Diversifying Top-k Service Retrieval. IEEE SCC 2014: 227-234 - [c34]Keqiang Wang, Chaofeng Sha, Xiaoling Wang, Aoying Zhou:
Based on Citation Diversity to Explore Influential Papers for Interdisciplinarity. APWeb 2014: 343-354 - [c33]Kejun He, Junyu Niu, Chaofeng Sha:
DivRec: A Framework for Top-N Recommendation with Diversification in E-commerce. APWeb 2014: 391-400 - [c32]Rong Zhang, Xiaofeng He, Aoying Zhou, Chaofeng Sha:
Online evaluation re-scoring based on review behavior analysis. ASONAM 2014: 43-50 - [c31]Chaofeng Sha, Keqiang Wang, Xiaoling Wang, Aoying Zhou:
Ensemble Pruning: A Submodular Function Maximization Perspective. DASFAA (2) 2014: 1-15 - [c30]Peisen Yuan, Chaofeng Sha, Yi Sun:
Hash ^ed -Join: Approximate String Similarity Join with Hashing. DASFAA Workshops 2014: 217-229 - [c29]Chu He, Zijing Tan, Qing Chen, Chaofeng Sha, Zhihui Wang, Wei Wang:
Repair Diversification for Functional Dependency Violations. DASFAA (2) 2014: 468-482 - [c28]Chaofeng Sha, Keqiang Wang, Dell Zhang, Xiaoling Wang, Aoying Zhou:
Optimizing Top-k Retrieval: Submodularity Analysis and Search Strategies. WAIM 2014: 18-29 - 2013
- [c27]Jinxian Wei, Fan Xia, Chaofeng Sha, Chen Xu, Xiaofeng He, Aoying Zhou:
Workload-Aware Cache for Social Media Data. APWeb 2013: 662-673 - [c26]Liang Feng, Leyi Song, Chaofeng Sha, Xueqing Gong:
Practical Duplicate Bug Reports Detection in a Large Web-Based Development Community. APWeb 2013: 709-720 - [c25]Wenzhe Yu, Rong Zhang, Xiaofeng He, Chaofeng Sha:
Selecting a Diversified Set of Reviews. APWeb 2013: 721-733 - [c24]Li Wang, Rong Zhang, Chaofeng Sha, Xiaofeng He, Aoying Zhou:
A Hybrid Framework for Product Normalization in Online Shopping. DASFAA (2) 2013: 370-384 - [c23]Zejun Gan, Chaofeng Sha, Junyu Niu:
Fast Spectral Clustering with Landmark-Based Subspace Iteration. ICDM Workshops 2013: 773-779 - 2012
- [c22]Haoji Hu, Chaofeng Sha, Xiaoling Wang, Aoying Zhou:
Estimate Unlabeled-Data-Distribution for Semi-supervised PU Learning. APWeb 2012: 22-33 - [c21]Chenjing Zhang, Le Chang, Chaofeng Sha, Xiaoling Wang, Aoying Zhou:
Keywords Filtering over Probabilistic XML Data. APWeb 2012: 183-194 - [c20]Rong Zhang, Chaofeng Sha, Minqi Zhou, Aoying Zhou:
Credibility-based product ranking for C2C transactions. CIKM 2012: 2149-2153 - [c19]Rong Zhang, Chaofeng Sha, Minqi Zhou, Aoying Zhou:
Exploiting shopping and reviewing behavior to re-score online evaluations. WWW (Companion Volume) 2012: 649-650 - 2011
- [c18]Xiuxia Tian, Chaofeng Sha, Xiaoling Wang, Aoying Zhou:
Privacy Preserving Query Processing on Secret Share Based Data Storage. DASFAA (1) 2011: 108-122 - [c17]Xiuxia Tian, Chaofeng Sha, Xiaoling Wang, Aoying Zhou:
Privacy Preserving Personalized Access Control Service at Third Service Provider. ICWS 2011: 694-695 - [c16]Peisen Yuan, Chaofeng Sha, Xiaoling Wang, Bin Yang, Aoying Zhou:
Efficient Approximate Similarity Search Using Random Projection Learning. WAIM 2011: 517-529 - 2010
- [j1]Chaofeng Sha, Jian Gong, Aoying Zhou:
Mining non-redundant diverse patterns: an information theoretic perspective. Frontiers Comput. Sci. China 4(1): 89-99 (2010) - [c15]Chaofeng Sha, Yi Li, Aoying Zhou:
On t-Closeness with KL-Divergence and Semantic Privacy. DASFAA (2) 2010: 153-167 - [c14]Peisen Yuan, Xiaoling Wang, Chaofeng Sha, Ming Gao, Aoying Zhou:
GRAMS3: An Efficient Framework for XML Structural Similarity Search. DASFAA Workshops 2010: 422-433 - [c13]Peisen Yuan, Chaofeng Sha, Xiaoling Wang, Bin Yang, Aoying Zhou, Su Yang:
XML Structural Similarity Search Using MapReduce. WAIM 2010: 169-181 - [c12]Xiaoling Wang, Zhen Xu, Chaofeng Sha, Martin Ester, Aoying Zhou:
Semi-supervised Learning from Only Positive and Unlabeled Data Using Entropy. WAIM 2010: 668-679
2000 – 2009
- 2009
- [c11]Chaofeng Sha, Jian Gong, Aoying Zhou:
Mining Entropy l-Diversity Patterns. DASFAA 2009: 384-388 - [c10]Chaofeng Sha, Jian Gong, Aoying Zhou:
An Improved Algorithm for Mining Non-Redundant Interacting Feature Subsets. APWeb/WAIM 2009: 357-368 - [c9]Chaofeng Sha, Zhen Xu, Xiaoling Wang, Aoying Zhou:
Directly Identify Unexpected Instances in the Test Set by Entropy Maximization. APWeb/WAIM 2009: 659-664 - 2008
- [c8]Chaofeng Sha, Xipeng Qiu, Aoying Zhou:
KLNCC: A new nonlinear correlation clustering algorithm based on KL-divergence. CIT 2008: 125-130 - [c7]Chaofeng Sha, Xipeng Qiu, Aoying Zhou:
Feature Selection Based on a New Dependency Measure. FSKD (1) 2008: 266-270 - 2007
- [c6]Aoying Zhou, Feng Cao, Ying Yan, Chaofeng Sha, Xiaofeng He:
Distributed Data Stream Clustering: A Fast EM-based Approach. ICDE 2007: 736-745 - 2006
- [c5]Tao Xie, Chaofeng Sha, Xiaoling Wang, Aoying Zhou:
Approximate Top-k Structural Similarity Search over XML Documents. APWeb 2006: 319-330 - 2004
- [c4]Jiantao Song, Chaofeng Sha, Hong Zhu:
Nash Equilibria in Parallel Downloading with Multiple Clients. ICDCS 2004: 94-101 - 2003
- [c3]Yi Ren, Chaofeng Sha, Weining Qian, Aoying Zhou, Beng Chin Ooi, Kian-Lee Tan:
Explore the "Small World Phenomena" in Pure P2P Information Sharing Systems. CCGRID 2003: 232-239 - [c2]Cheqing Jin, Weining Qian, Chaofeng Sha, Jeffrey Xu Yu, Aoying Zhou:
Dynamically maintaining frequent items over a data stream. CIKM 2003: 287-294 - [c1]Jiantao Song, Yong Zhang, Chaofeng Sha, Hong Zhu:
Building Semantic Peer-to-Peer Networks upon CAN. Networked Group Communication 2003: 95-106
Coauthor Index
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