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Zibin Zheng
郑子彬
Person information
- unicode name: 郑子彬
- affiliation: Sun Yat-sen University, School of Advanced Computing
- affiliation: National University of Defense Technology, Changsha, Collaborative Innovation Center of High Performance Computing
- affiliation: Chinese University of Hong Kong, Shenzhen Research Institute
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2020 – today
- 2024
- [j268]Chuan Chen, Yuecheng Li, Zhenpeng Wu, Chengyuan Mai, Youming Liu, Yanming Hu, Jiawen Kang, Zibin Zheng:
Privacy computing meets metaverse: Necessity, taxonomy and challenges. Ad Hoc Networks 158: 103457 (2024) - [j267]Hongyang Chen, Pengfei Chen, Benran Wang, Xian Yu, Xiaofan Chen, Dandan Ma, Zibin Zheng:
Graph neural network based robust anomaly detection at service level in SDN driven microservice system. Comput. Networks 239: 110135 (2024) - [j266]Fenfang Xie, Angyu Zheng, Liang Chen, Zibin Zheng, Mingdong Tang:
Weighted meta-graph based mobile application recommendation through matrix factorisation and neural networks. Connect. Sci. 36(1) (2024) - [j265]Dun Li, Dezhi Han, Tien-Hsiung Weng, Zibin Zheng, Hongzhi Li, Kuan-Ching Li:
On Stablecoin: Ecosystem, architecture, mechanism and applicability as payment method. Comput. Stand. Interfaces 87: 103747 (2024) - [j264]Huawei Huang, Qinnan Zhang, Taotao Li, Qinglin Yang, Zhaokang Yin, Junhao Wu, Zehui Xiong, Jianming Zhu, Jiajing Wu, Zibin Zheng:
Economic Systems in the Metaverse: Basics, State of the Art, and Challenges. ACM Comput. Surv. 56(4): 99:1-99:33 (2024) - [j263]Changlin Yang, Kwan-Wu Chin, Jiguang Wang, Xiaodong Wang, Ying Liu, Zibin Zheng:
Scaling Blockchains with Error Correction Codes: A Survey on Coded Blockchains. ACM Comput. Surv. 56(6): 139:1-139:33 (2024) - [j262]Yanming Hu, Chuan Chen, Bowen Deng, Yujing Lai, Hao Lin, Zibin Zheng, Jing Bian:
Decoupling Anomaly Discrimination and Representation Learning: Self-supervised Learning for Anomaly Detection on Attributed Graph. Data Sci. Eng. 9(3): 264-277 (2024) - [j261]Zhihong Deng, Taotao Li, Chunming Tang, Debiao He, Zibin Zheng:
PSSC: Practical and Secure Sidechain Construction for Heterogeneous Blockchains Orienting IoT. IEEE Internet Things J. 11(3): 4600-4613 (2024) - [j260]Yuchao Zhang, Xiaotian Wang, Xiaofeng He, Ning Zhang, Zibin Zheng, Ke Xu:
Galaxy: A Scalable BFT and Privacy-Preserving Pub/Sub IoT Data Sharing Framework Based on Blockchain. IEEE Internet Things J. 11(3): 5222-5236 (2024) - [j259]Changlin Yang, Alexei Ashikhmin, Xiaodong Wang, Zibin Zheng:
Rateless Coded Blockchain for Dynamic IoT Networks. IEEE Internet Things J. 11(6): 10695-10708 (2024) - [j258]Ying Liu, Rui Yang, Kwan-Wu Chin, Changlin Yang, Zibin Zheng:
Complete Coverage of Mobile Targets in Backscatter-Aided IoT Networks. IEEE Internet Things J. 11(12): 21450-21460 (2024) - [j257]Kungan Zeng, Zhenni Li, Haoli Zhao, Kan Xie, Shengli Xie, Dusit Niyato, Wuhui Chen, Zibin Zheng:
A Spatiotemporal Information-Driven Cross-Attention Model With Sparse Representation for GNSS NLOS Signal Classification. IEEE Internet Things J. 11(19): 31892-31908 (2024) - [j256]Chuan Chen, Ziyue Xu, Weibo Hu, Zibin Zheng, Jie Zhang:
FedGL: Federated graph learning framework with global self-supervision. Inf. Sci. 657: 119976 (2024) - [j255]Tianchi Liao, Jinghua Yang, Chuan Chen, Zibin Zheng:
A neural tensor decomposition model for high-order sparse data recovery. Inf. Sci. 658: 120024 (2024) - [j254]Xiangping Chen, Furen Xu, Yuan Huang, Xiaocong Zhou, Zibin Zheng:
An empirical study of code reuse between GitHub and stack overflow during software development. J. Syst. Softw. 210: 111964 (2024) - [j253]Yanming Hu, Tianchi Liao, Jialong Chen, Jing Bian, Zibin Zheng, Chuan Chen:
Migrate demographic group for fair Graph Neural Networks. Neural Networks 175: 106264 (2024) - [j252]Siran Zhao, Tianchi Liao, Lele Fu, Chuan Chen, Jing Bian, Zibin Zheng:
Data-free knowledge distillation via generator-free data generation for Non-IID federated learning. Neural Networks 179: 106627 (2024) - [j251]Jiahang Zhou, Yanyu Chen, Zicong Hong, Wuhui Chen, Yue Yu, Tao Zhang, Hui Wang, Chuanfu Zhang, Zibin Zheng:
Training and Serving System of Foundation Models: A Comprehensive Survey. IEEE Open J. Comput. Soc. 5: 107-119 (2024) - [j250]Xiangping Chen, Furen Xu, Yuan Huang, Neng Zhang, Zibin Zheng:
JIT-Smart: A Multi-task Learning Framework for Just-in-Time Defect Prediction and Localization. Proc. ACM Softw. Eng. 1(FSE): 1-23 (2024) - [j249]Guangba Yu, Pengfei Chen, Zilong He, Qiuyu Yan, Yu Luo, Fangyuan Li, Zibin Zheng:
ChangeRCA: Finding Root Causes from Software Changes in Large Online Systems. Proc. ACM Softw. Eng. 1(FSE): 24-46 (2024) - [j248]Zexu Wang, Jiachi Chen, Yanlin Wang, Yu Zhang, Weizhe Zhang, Zibin Zheng:
Efficiently Detecting Reentrancy Vulnerabilities in Complex Smart Contracts. Proc. ACM Softw. Eng. 1(FSE): 161-181 (2024) - [j247]Zeqin Liao, Yuhong Nan, Henglong Liang, Sicheng Hao, Juan Zhai, Jiajing Wu, Zibin Zheng:
SmartAxe: Detecting Cross-Chain Vulnerabilities in Bridge Smart Contracts via Fine-Grained Static Analysis. Proc. ACM Softw. Eng. 1(FSE): 249-270 (2024) - [j246]Jianting Zhang, Wuhui Chen, Zicong Hong, Gang Xiao, Linlin Du, Zibin Zheng:
Efficient Execution of Arbitrarily Complex Cross-Shard Contracts for Blockchain Sharding. IEEE Trans. Computers 73(5): 1190-1205 (2024) - [j245]Qishuang Fu, Dan Lin, Jiajing Wu, Zibin Zheng:
A General Framework for Account Risk Rating on Ethereum: Toward Safer Blockchain Technology. IEEE Trans. Comput. Soc. Syst. 11(2): 1865-1875 (2024) - [j244]Junyuan Fang, Haixian Wen, Jiajing Wu, Qi Xuan, Zibin Zheng, Chi K. Tse:
GANI: Global Attacks on Graph Neural Networks via Imperceptible Node Injections. IEEE Trans. Comput. Soc. Syst. 11(4): 5374-5387 (2024) - [j243]Jian Zheng, Huawei Huang, Zibin Zheng, Song Guo:
Adaptive Double-Spending Attacks on PoW-Based Blockchains. IEEE Trans. Dependable Secur. Comput. 21(3): 1098-1110 (2024) - [j242]Jiajing Wu, Dan Lin, Qishuang Fu, Shuo Yang, Ting Chen, Zibin Zheng, Bowen Song:
Toward Understanding Asset Flows in Crypto Money Laundering Through the Lenses of Ethereum Heists. IEEE Trans. Inf. Forensics Secur. 19: 1994-2009 (2024) - [j241]Jieli Liu, Jinze Chen, Jiajing Wu, Zhiying Wu, Junyuan Fang, Zibin Zheng:
Fishing for Fraudsters: Uncovering Ethereum Phishing Gangs With Blockchain Data. IEEE Trans. Inf. Forensics Secur. 19: 3038-3050 (2024) - [j240]Kungan Zeng, Zhenni Li, Shengli Xie, Qianming Wang, Wuhui Chen, Zibin Zheng:
A Few-Shot Learning-Based Semi-Supervised Method to Enhance NLOS Recognition Accuracy Across Multiple Locations by Cross-Spatiotemporal Information. IEEE Trans. Instrum. Meas. 73: 1-14 (2024) - [j239]Hui Dou, Shanshan Zhu, Yiwen Zhang, Pengfei Chen, Zibin Zheng:
HyperTuner: a cross-layer multi-objective hyperparameter auto-tuning framework for data analytic services. J. Supercomput. 80(12): 17460-17491 (2024) - [j238]Taolin Zhang, Chengyuan Mai, Yaomin Chang, Chuan Chen, Lin Shu, Zibin Zheng:
FedEgo: Privacy-preserving Personalized Federated Graph Learning with Ego-graphs. ACM Trans. Knowl. Discov. Data 18(2): 40:1-40:27 (2024) - [j237]Jinrong Lai, Tong Wang, Chuan Chen, Zibin Zheng:
Information-aware Multi-view Outlier Detection. ACM Trans. Knowl. Discov. Data 18(4): 98:1-98:16 (2024) - [j236]Lei Zhang, Lele Fu, Chen Liu, Zhao Yang, Jinghua Yang, Zibin Zheng, Chuan Chen:
Toward Few-Label Vertical Federated Learning. ACM Trans. Knowl. Discov. Data 18(7): 176 (2024) - [j235]Zigui Jiang, Weilin Zheng, Bo Liu, Hong-Ning Dai, Haoran Xie, Xiapu Luo, Zibin Zheng, Qing Li:
Unravelling Token Ecosystem of EOSIO Blockchain. IEEE Trans. Knowl. Data Eng. 36(10): 5423-5439 (2024) - [j234]Wuhui Chen, Xiaoyu Qiu, Zhongteng Cai, Bingxin Tang, Linlin Du, Zibin Zheng:
Graph Neural Network-Enhanced Reinforcement Learning for Payment Channel Rebalancing. IEEE Trans. Mob. Comput. 23(6): 7066-7083 (2024) - [j233]Jing-Hua Yang, Chuan Chen, Hong-Ning Dai, Meng Ding, Zhebin Wu, Zibin Zheng:
Robust Corrupted Data Recovery and Clustering via Generalized Transformed Tensor Low-Rank Representation. IEEE Trans. Neural Networks Learn. Syst. 35(7): 8839-8853 (2024) - [j232]Henry Hong-Ning Dai, Daniel Xiapu Luo, Zibin Zheng, Yan Zhang, Qin Hu:
Guest Editorial Introduction to the Special Section on Advanced Networking Technologies for Web 3.0. IEEE Trans. Netw. Sci. Eng. 11(5): 3915-3917 (2024) - [j231]Jiezhu Cheng, Kaizhu Huang, Zibin Zheng:
Can Perturbations Help Reduce Investment Risks? Risk-aware Stock Recommendation via Split Variational Adversarial Training. ACM Trans. Inf. Syst. 42(4): 101:1-101:28 (2024) - [j230]Hanyang Guo, Xiangping Chen, Yuan Huang, Yanlin Wang, Xi Ding, Zibin Zheng, Xiaocong Zhou, Hong-Ning Dai:
Snippet Comment Generation Based on Code Context Expansion. ACM Trans. Softw. Eng. Methodol. 33(1): 24:1-24:30 (2024) - [j229]Hanyang Guo, Yingye Chen, Xiangping Chen, Yuan Huang, Zibin Zheng:
Smart Contract Code Repair Recommendation based on Reinforcement Learning and Multi-metric Optimization. ACM Trans. Softw. Eng. Methodol. 33(4): 106:1-106:31 (2024) - [j228]Xi Ding, Rui Peng, Xiangping Chen, Yuan Huang, Jing Bian, Zibin Zheng:
Do Code Summarization Models Process Too Much Information? Function Signature May Be All That Is Needed. ACM Trans. Softw. Eng. Methodol. 33(6): 160 (2024) - [j227]Hui Dou, Yilun Wang, Yiwen Zhang, Pengfei Chen, Zibin Zheng:
DeepCAT+: A Low-Cost and Transferrable Online Configuration Auto-Tuning Approach for Big Data Frameworks. IEEE Trans. Parallel Distributed Syst. 35(11): 2114-2131 (2024) - [j226]Ting Cai, Wuhui Chen, Jianting Zhang, Zibin Zheng:
SmartChain: A Dynamic and Self-Adaptive Sharding Framework for IoT Blockchain. IEEE Trans. Serv. Comput. 17(2): 674-688 (2024) - [j225]Zibin Zheng, Jianzhong Su, Jiachi Chen, David Lo, Zhijie Zhong, Mingxi Ye:
DAppSCAN: Building Large-Scale Datasets for Smart Contract Weaknesses in DApp Projects. IEEE Trans. Software Eng. 50(6): 1360-1373 (2024) - [j224]Zewei Lin, Jiachi Chen, Jiajing Wu, Weizhe Zhang, Yongjuan Wang, Zibin Zheng:
CRPWarner: Warning the Risk of Contract-Related Rug Pull in DeFi Smart Contracts. IEEE Trans. Software Eng. 50(6): 1534-1547 (2024) - [j223]Dan Lin, Jiajing Wu, Tao Huang, Kaixin Lin, Zibin Zheng:
Who is Who on Ethereum? Account Labeling Using Heterophilic Graph Convolutional Network. IEEE Trans. Syst. Man Cybern. Syst. 54(3): 1541-1553 (2024) - [c233]Zhuangbin Chen, Zhihan Jiang, Yuxin Su, Michael R. Lyu, Zibin Zheng:
Tracemesh: Scalable and Streaming Sampling for Distributed Traces. CLOUD 2024: 54-65 - [c232]Wenqing Chen, Weicheng Wang, Zhixuan Chu, Kui Ren, Zibin Zheng, Zhichao Lu:
Self-Para-Consistency: Improving Reasoning Tasks at Low Cost for Large Language Models. ACL (Findings) 2024: 14162-14167 - [c231]Han Wu, Guanyan Ou, Weibin Wu, Zibin Zheng:
Improving Transferable Targeted Adversarial Attacks with Model Self-Enhancement. CVPR 2024: 24615-24624 - [c230]Yuecheng Li, Jialong Chen, Chuan Chen, Lei Yang, Zibin Zheng:
Contrastive Deep Nonnegative Matrix Factorization For Community Detection. ICASSP 2024: 6725-6729 - [c229]Ruixin Li, Chun Wang, Zibin Zheng, Huawei Huang:
Enhancing Federated Learning with Self-Determining Mechanism in MEC. ICNC 2024: 1006-1010 - [c228]Taotao Li, Huawei Huang, Lingyuan Yin, Siyuan Yao, Zibin Zheng:
USSC: Universal and Storage-Efficient Sidechains. ICDCS 2024: 379-390 - [c227]Chun Wang, Huawei Huang, Ruixin Li, Jialiang Liu, Ting Cai, Zibin Zheng:
Libra: A Fairness-Guaranteed Framework for Semi-Asynchronous Federated Learning. ICDCS 2024: 797-808 - [c226]Jialiang Liu, Huawei Huang, Chun Wang, Ruixin Li, Ting Car, Qinglin Yang, Zibin Zheng:
Can Federated Learning Clients be Lightweight? A Plug-and-Play Symmetric Conversion Module. ICDCS 2024: 809-820 - [c225]Wuhui Chen, Ding Xia, Zhongteng Cai, Hong-Ning Dai, Jianting Zhang, Zicong Hong, Junyuan Liang, Zibin Zheng:
Porygon: Scaling Blockchain via 3D Parallelism. ICDE 2024: 1944-1957 - [c224]Jintang Li, Huizhe Zhang, Ruofan Wu, Zulun Zhu, Baokun Wang, Changhua Meng, Zibin Zheng, Liang Chen:
A Graph is Worth 1-bit Spikes: When Graph Contrastive Learning Meets Spiking Neural Networks. ICLR 2024 - [c223]Mingyuan Huang, Jiachi Chen, Zigui Jiang, Zibin Zheng:
Revealing Hidden Threats: An Empirical Study of Library Misuse in Smart Contracts. ICSE 2024: 26:1-26:12 - [c222]Shuo Yang, Jiachi Chen, Mingyuan Huang, Zibin Zheng, Yuan Huang:
Uncover the Premeditated Attacks: Detecting Exploitable Reentrancy Vulnerabilities by Identifying Attacker Contracts. ICSE 2024: 128:1-128:12 - [c221]Hanyang Guo, Hong-Ning Dai, Xiapu Luo, Zibin Zheng, Gengyang Xu, Fengliang He:
An Empirical Study on Oculus Virtual Reality Applications: Security and Privacy Perspectives. ICSE 2024: 159:1-159:13 - [c220]Zhijie Zhong, Zibin Zheng, Hong-Ning Dai, Qing Xue, Junjia Chen, Yuhong Nan:
PrettySmart: Detecting Permission Re-delegation Vulnerability for Token Behaviors in Smart Contracts. ICSE 2024: 168:1-168:12 - [c219]Huawei Huang, Yue Lin, Zibin Zheng:
Account Migration across Blockchain Shards using Fine-tuned Lock Mechanism. INFOCOM 2024: 271-280 - [c218]Wuhui Chen, Yikai Feng, Jianting Zhang, Zhongteng Cai, Hong-Ning Dai, Zibin Zheng:
Auncel: Fair Byzantine Consensus Protocol with High Performance. INFOCOM 2024: 1251-1260 - [c217]Shiwen Shan, Yintong Huo, Yuxin Su, Yichen Li, Dan Li, Zibin Zheng:
Face It Yourselves: An LLM-Based Two-Stage Strategy to Localize Configuration Errors via Logs. ISSTA 2024: 13-25 - [c216]Zhiying Wu, Jiajing Wu, Hui Zhang, Ziwei Li, Jiachi Chen, Zibin Zheng, Qing Xia, Gang Fan, Yi Zhen:
DAppFL: Just-in-Time Fault Localization for Decentralized Applications in Web3. ISSTA 2024: 137-148 - [c215]Peilin Zheng, Bowei Su, Xiapu Luo, Ting Chen, Neng Zhang, Zibin Zheng:
LENT-SSE: Leveraging Executed and Near Transactions for Speculative Symbolic Execution of Smart Contracts. ISSTA 2024: 566-577 - [c214]Mingxi Ye, Xingwei Lin, Yuhong Nan, Jiajing Wu, Zibin Zheng:
Midas: Mining Profitable Exploits in On-Chain Smart Contracts via Feedback-Driven Fuzzing and Differential Analysis. ISSTA 2024: 794-805 - [c213]Lianghong Guo, Yanlin Wang, Ensheng Shi, Wanjun Zhong, Hongyu Zhang, Jiachi Chen, Ruikai Zhang, Yuchi Ma, Zibin Zheng:
When to Stop? Towards Efficient Code Generation in LLMs with Excess Token Prevention. ISSTA 2024: 1073-1085 - [c212]Jiachi Chen, Chong Chen, Jiang Hu, John C. Grundy, Yanlin Wang, Ting Chen, Zibin Zheng:
Identifying Smart Contract Security Issues in Code Snippets from Stack Overflow. ISSTA 2024: 1198-1210 - [c211]Xiangping Chen, Yangzi Li, Zhicao Tang, Yuan Huang, Haojie Zhou, Mingdong Tang, Zibin Zheng:
ESGen: Commit Message Generation Based on Edit Sequence of Code Change. ICPC 2024: 112-124 - [c210]Yuan Huang, Xiaoyuan Wu, Quanqi Wang, Ziang Qian, Xiangping Chen, Mingdong Tang, Zibin Zheng:
The Sword of Damocles: Upgradeable Smart Contract in Ethereum. ICPC 2024: 333-345 - [c209]Yuchang Zhu, Jintang Li, Yatao Bian, Zibin Zheng, Liang Chen:
One Fits All: Learning Fair Graph Neural Networks for Various Sensitive Attributes. KDD 2024: 4688-4699 - [c208]Jiangrong Wu, Yuhong Nan, Luyi Xing, Jiatao Cheng, Zimin Lin, Zibin Zheng, Min Yang:
Leaking the Privacy of Groups and More: Understanding Privacy Risks of Cross-App Content Sharing in Mobile Ecosystem. NDSS 2024 - [c207]Yanlin Wang, Yanxian Huang, Daya Guo, Hongyu Zhang, Zibin Zheng:
SparseCoder: Identifier-Aware Sparse Transformer for File- Level Code Summarization. SANER 2024: 614-625 - [c206]Wangbin Sun, Jintang Li, Liang Chen, Bingzhe Wu, Yatao Bian, Zibin Zheng:
Rethinking and Simplifying Bootstrapped Graph Latents. WSDM 2024: 665-673 - [c205]Yuchang Zhu, Jintang Li, Liang Chen, Zibin Zheng:
The Devil is in the Data: Learning Fair Graph Neural Networks via Partial Knowledge Distillation. WSDM 2024: 1012-1021 - [c204]Yuchang Zhu, Jintang Li, Zibin Zheng, Liang Chen:
Fair Graph Representation Learning via Sensitive Attribute Disentanglement. WWW 2024: 1182-1192 - [c203]Dan Lin, Jiajing Wu, Yunmei Yu, Qishuang Fu, Zibin Zheng, Changlin Yang:
DenseFlow: Spotting Cryptocurrency Money Laundering in Ethereum Transaction Graphs. WWW 2024: 4429-4438 - [i139]Jiahang Zhou, Yanyu Chen, Zicong Hong, Wuhui Chen, Yue Yu, Tao Zhang, Hui Wang, Chuanfu Zhang, Zibin Zheng:
Training and Serving System of Foundation Models: A Comprehensive Survey. CoRR abs/2401.02643 (2024) - [i138]Yanlin Wang, Yanxian Huang, Daya Guo, Hongyu Zhang, Zibin Zheng:
SparseCoder: Identifier-Aware Sparse Transformer for File-Level Code Summarization. CoRR abs/2401.14727 (2024) - [i137]Yongkun Liu, Jiachi Chen, Tingting Bi, John C. Grundy, Yanlin Wang, Ting Chen, Yutian Tang, Zibin Zheng:
An Empirical Study on Low Code Programming using Traditional vs Large Language Model Support. CoRR abs/2402.01156 (2024) - [i136]Yuecheng Li, Tong Wang, Chuan Chen, Jian Lou, Bin Chen, Lei Yang, Zibin Zheng:
Clients Collaborate: Flexible Differentially Private Federated Learning with Guaranteed Improvement of Utility-Privacy Trade-off. CoRR abs/2402.07002 (2024) - [i135]Zexu Wang, Jiachi Chen, Zibin Zheng, Peilin Zheng, Yu Zhang, Weizhe Zhang:
Unity is Strength: Enhancing Precision in Reentrancy Vulnerability Detection of Smart Contract Analysis Tools. CoRR abs/2402.09094 (2024) - [i134]Zhixiang Chen, Anji Li, Neng Zhang, Jianguo Chen, Yuan Huang, Zibin Zheng:
iJTyper: An Iterative Type Inference Framework for Java by Integrating Constraint- and Statistically-based Methods. CoRR abs/2402.09995 (2024) - [i133]Hanyang Guo, Hong-Ning Dai, Xiapu Luo, Zibin Zheng, Gengyang Xu, Fengliang He:
An Empirical Study on Oculus Virtual Reality Applications: Security and Privacy Perspectives. CoRR abs/2402.13815 (2024) - [i132]Ziyue Xu, Mingfeng Xu, Tianchi Liao, Zibin Zheng, Chuan Chen:
FedBRB: An Effective Solution to the Small-to-Large Scenario in Device-Heterogeneity Federated Learning. CoRR abs/2402.17202 (2024) - [i131]Zeju Cai, Jianguo Chen, Yuting Fan, Zibin Zheng, Keqin Li:
Blockchain-empowered Federated Learning: Benefits, Challenges, and Solutions. CoRR abs/2403.00873 (2024) - [i130]Zewei Lin, Jiachi Chen, Zibin Zheng, Jiajing Wu, Weizhe Zhang, Yongjuan Wang:
CRPWarner: Warning the Risk of Contract-related Rug Pull in DeFi Smart Contracts. CoRR abs/2403.01425 (2024) - [i129]Yuan Huang, Yinan Chen, Xiangping Chen, Junqi Chen, Rui Peng, Zhicao Tang, Jinbo Huang, Furen Xu, Zibin Zheng:
Generative Software Engineering. CoRR abs/2403.02583 (2024) - [i128]Zexu Wang, Jiachi Chen, Yanlin Wang, Yu Zhang, Weizhe Zhang, Zibin Zheng:
Efficiently Detecting Reentrancy Vulnerabilities in Complex Smart Contracts. CoRR abs/2403.11254 (2024) - [i127]Huizhe Zhang, Jintang Li, Liang Chen, Zibin Zheng:
SGHormer: An Energy-Saving Graph Transformer Driven by Spikes. CoRR abs/2403.17656 (2024) - [i126]Shuo Yang, Jiachi Chen, Mingyuan Huang, Zibin Zheng, Yuan Huang:
Uncover the Premeditated Attacks: Detecting Exploitable Reentrancy Vulnerabilities by Identifying Attacker Contracts. CoRR abs/2403.19112 (2024) - [i125]Shiwen Shan, Yintong Huo, Yuxin Su, Yichen Li, Dan Li, Zibin Zheng:
Face It Yourselves: An LLM-Based Two-Stage Strategy to Localize Configuration Errors via Logs. CoRR abs/2404.00640 (2024) - [i124]Yuchang Zhu, Jintang Li, Zibin Zheng, Liang Chen:
Fair Graph Representation Learning via Sensitive Attribute Disentanglement. CoRR abs/2405.07011 (2024) - [i123]Chuan Chen, Tianchi Liao, Xiaojun Deng, Zihou Wu, Sheng Huang, Zibin Zheng:
Advances in Robust Federated Learning: Heterogeneity Considerations. CoRR abs/2405.09839 (2024) - [i122]Jintang Li, Ruofan Wu, Xinzhou Jin, Boqun Ma, Liang Chen, Zibin Zheng:
State Space Models on Temporal Graphs: A First-Principles Study. CoRR abs/2406.00943 (2024) - [i121]Dewu Zheng, Yanlin Wang, Ensheng Shi, Ruikai Zhang, Yuchi Ma, Hongyu Zhang, Zibin Zheng:
Towards more realistic evaluation of LLM-based code generation: an experimental study and beyond. CoRR abs/2406.06918 (2024) - [i120]Zhuangbin Chen, Zhihan Jiang, Yuxin Su, Michael R. Lyu, Zibin Zheng:
TraceMesh: Scalable and Streaming Sampling for Distributed Traces. CoRR abs/2406.06975 (2024) - [i119]Jianzhong Su, Jiachi Chen, Zhiyuan Fang, Xingwei Lin, Yutian Tang, Zibin Zheng:
SmartOracle: Generating Smart Contract Oracle via Fine-Grained Invariant Detection. CoRR abs/2406.10054 (2024) - [i118]Jing Gong, Yanghui Wu, Linxi Liang, Zibin Zheng, Yanlin Wang:
CoSQA+: Enhancing Code Search Dataset with Matching Code. CoRR abs/2406.11589 (2024) - [i117]Yuchang Zhu, Jintang Li, Yatao Bian, Zibin Zheng, Liang Chen:
One Fits All: Learning Fair Graph Neural Networks for Various Sensitive Attributes. CoRR abs/2406.13544 (2024) - [i116]Zeqin Liao, Sicheng Hao, Yuhong Nan, Zibin Zheng:
SmartState: Detecting State-Reverting Vulnerabilities in Smart Contracts via Fine-Grained State-Dependency Analysis. CoRR abs/2406.15988 (2024) - [i115]Zeqin Liao, Yuhong Nan, Henglong Liang, Sicheng Hao, Juan Zhai, Jiajing Wu, Zibin Zheng:
SmartAxe: Detecting Cross-Chain Vulnerabilities in Bridge Smart Contracts via Fine-Grained Static Analysis. CoRR abs/2406.15999 (2024) - [i114]Guangba Yu, Gou Tan, Haojia Huang, Zhenyu Zhang, Pengfei Chen, Roberto Natella, Zibin Zheng:
A Survey on Failure Analysis and Fault Injection in AI Systems. CoRR abs/2407.00125 (2024) - [i113]Yanlin Wang, Tianyue Jiang, Mingwei Liu, Jiachi Chen, Zibin Zheng:
Beyond Functional Correctness: Investigating Coding Style Inconsistencies in Large Language Models. CoRR abs/2407.00456 (2024) - [i112]