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ORCIDZongjie Li
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2020 – today
- 2024
[j6]Zongjie Li
, Zhibo Liu, Wai Kin Wong, Pingchuan Ma, Shuai Wang:
Evaluating C/C++ Vulnerability Detectability of Query-Based Static Application Security Testing Tools. IEEE Trans. Dependable Secur. Comput. 21(5): 4600-4618 (2024)- [c12]Wai Kin Wong, Huaijin Wang, Zongjie Li, Shuai Wang:
BinAug: Enhancing Binary Similarity Analysis with Low-Cost Input Repairing. ICSE 2024: 7:1-7:13 - [c11]Zongjie Li, Chaozheng Wang, Pingchuan Ma, Chaowei Liu, Shuai Wang, Daoyuan Wu, Cuiyun Gao, Yang Liu:
On Extracting Specialized Code Abilities from Large Language Models: A Feasibility Study. ICSE 2024: 74:1-74:13 - [c10]Zongjie Li, Wenying Qiu, Pingchuan Ma, Yichen Li, You Li, Sijia He, Baozheng Jiang, Shuai Wang, Weixi Gu:
Poster Abstract: On the Accuracy and Robustness of Large Language Models in Chinese Industrial Scenarios. IPSN 2024: 283-284 - [i20]Zongjie Li, Wenying Qiu, Pingchuan Ma, Yichen Li, You Li, Sijia He, Baozheng Jiang, Shuai Wang, Weixi Gu:
An Empirical Study on Large Language Models in Accuracy and Robustness under Chinese Industrial Scenarios. CoRR abs/2402.01723 (2024) - [i19]Liwen Wang, Yuanyuan Yuan, Ao Sun, Zongjie Li, Pingchuan Ma, Daoyuan Wu, Shuai Wang:
How do LLMs Support Deep Learning Testing? A Comprehensive Study Through the Lens of Image Mutation. CoRR abs/2404.13945 (2024) - [i18]Zhenlan Ji, Daoyuan Wu, Pingchuan Ma, Zongjie Li, Shuai Wang:
Testing and Understanding Erroneous Planning in LLM Agents through Synthesized User Inputs. CoRR abs/2404.17833 (2024) - [i17]Chaozheng Wang, Zongjie Li, Cuiyun Gao, Wenxuan Wang, Ting Peng, Hailiang Huang, Yuetang Deng, Shuai Wang, Michael R. Lyu:
Exploring Multi-Lingual Bias of Large Code Models in Code Generation. CoRR abs/2404.19368 (2024) - [i16]Ruoke Wang, Zongjie Li, Chaozheng Wang, Yang Xiao, Cuiyun Gao:
NAVRepair: Node-type Aware C/C++ Code Vulnerability Repair. CoRR abs/2405.04994 (2024) - [i15]Xunguang Wang, Daoyuan Wu, Zhenlan Ji, Zongjie Li, Pingchuan Ma, Shuai Wang, Yingjiu Li, Yang Liu, Ning Liu, Juergen Rahmel:
SelfDefend: LLMs Can Defend Themselves against Jailbreaking in a Practical Manner. CoRR abs/2406.05498 (2024) - [i14]Zongjie Li, Daoyuan Wu, Shuai Wang, Zhendong Su:
API-guided Dataset Synthesis to Finetune Large Code Models. CoRR abs/2408.08343 (2024) - 2023
- [c9]Zongjie Li, Chaozheng Wang, Shuai Wang, Cuiyun Gao:
Protecting Intellectual Property of Large Language Model-Based Code Generation APIs via Watermarks. CCS 2023: 2336-2350 - [c8]Zongjie Li, Chaozheng Wang, Zhibo Liu, Haoxuan Wang, Dong Chen, Shuai Wang, Cuiyun Gao:
CCTEST: Testing and Repairing Code Completion Systems. ICSE 2023: 1238-1250 - [c7]Zhibo Liu, Dongwei Xiao, Zongjie Li, Shuai Wang, Wei Meng:
Exploring Missed Optimizations in WebAssembly Optimizers. ISSTA 2023: 436-448 - [c6]Chaozheng Wang, Zongjie Li, Yun Peng, Shuzheng Gao, Sirong Chen, Shuai Wang, Cuiyun Gao, Michael R. Lyu:
REEF: A Framework for Collecting Real-World Vulnerabilities and Fixes. ASE 2023: 1952-1962 - [c5]Chaozheng Wang, Haochuan Lu, Cuiyun Gao, Zongjie Li, Ting Xiong, Yuetang Deng:
A Unified Framework for Mini-game Testing: Experience on WeChat. ESEC/SIGSOFT FSE 2023: 1623-1634 - [i13]Zongjie Li, Chaozheng Wang, Pingchuan Ma, Chaowei Liu, Shuai Wang, Daoyuan Wu, Cuiyun Gao:
On the Feasibility of Specialized Ability Extracting for Large Language Code Models. CoRR abs/2303.03012 (2023) - [i12]Pingchuan Ma, Zongjie Li, Ao Sun, Shuai Wang:
"Oops, Did I Just Say That?" Testing and Repairing Unethical Suggestions of Large Language Models with Suggest-Critique-Reflect Process. CoRR abs/2305.02626 (2023) - [i11]Chaozheng Wang, Zongjie Li, Yun Peng, Shuzheng Gao, Sirong Chen, Shuai Wang, Cuiyun Gao, Michael R. Lyu:
REEF: A Framework for Collecting Real-World Vulnerabilities and Fixes. CoRR abs/2309.08115 (2023) - [i10]Zongjie Li, Chaozheng Wang, Pingchuan Ma, Daoyuan Wu, Shuai Wang, Cuiyun Gao, Yang Liu:
Split and Merge: Aligning Position Biases in Large Language Model based Evaluators. CoRR abs/2310.01432 (2023) - [i9]Wai Kin Wong, Huaijin Wang, Zongjie Li, Zhibo Liu, Shuai Wang, Qiyi Tang, Sen Nie, Shi Wu:
Refining Decompiled C Code with Large Language Models. CoRR abs/2310.06530 (2023) - [i8]Zhenlan Ji, Pingchuan Ma, Zongjie Li, Shuai Wang:
Benchmarking and Explaining Large Language Model-based Code Generation: A Causality-Centric Approach. CoRR abs/2310.06680 (2023) - [i7]Xunguang Wang, Zhenlan Ji, Pingchuan Ma, Zongjie Li, Shuai Wang:
InstructTA: Instruction-Tuned Targeted Attack for Large Vision-Language Models. CoRR abs/2312.01886 (2023) - [i6]Zongjie Li, Chaozheng Wang, Chaowei Liu, Pingchuan Ma, Daoyuan Wu, Shuai Wang, Cuiyun Gao:
VRPTEST: Evaluating Visual Referring Prompting in Large Multimodal Models. CoRR abs/2312.04087 (2023) - 2022
- [j5]Chaozheng Wang, Zhenhao Nong, Cuiyun Gao, Zongjie Li, Jichuan Zeng, Zhenchang Xing, Yang Liu:
Enriching query semantics for code search with reinforcement learning. Neural Networks 145: 22-32 (2022) - [j4]Xinyu Wang, Zongjie Li, Hanming Gu:
3D Bipolar Spectral Inversion Based on Structural Geosteering Shear Backfill Mapping. IEEE Trans. Geosci. Remote. Sens. 60: 1-9 (2022) - [c4]Yun Peng, Cuiyun Gao, Zongjie Li, Bowei Gao, David Lo, Qirun Zhang, Michael R. Lyu:
Static Inference Meets Deep learning: A Hybrid Type Inference Approach for Python. ICSE 2022: 2019-2030 - [c3]Zongjie Li, Pingchuan Ma, Huaijin Wang, Shuai Wang, Qiyi Tang, Sen Nie, Shi Wu:
Unleashing the Power of Compiler Intermediate Representation to Enhance Neural Program Embeddings. ICSE 2022: 2253-2265 - [i5]Zongjie Li, Pingchuan Ma, Huaijin Wang, Shuai Wang, Qiyi Tang, Sen Nie, Shi Wu:
Unleashing the Power of Compiler Intermediate Representation to Enhance Neural Program Embeddings. CoRR abs/2204.09191 (2022) - [i4]Zongjie Li, Chaozheng Wang, Zhibo Liu, Haoxuan Wang, Shuai Wang, Cuiyun Gao:
CCTEST: Testing and Repairing Code Completion Systems. CoRR abs/2208.08289 (2022) - 2021
- [j3]Wenchao Gu, Zongjie Li, Cuiyun Gao, Chaozheng Wang, Hongyu Zhang, Zenglin Xu, Michael R. Lyu:
CRaDLe: Deep code retrieval based on semantic Dependency Learning. Neural Networks 141: 385-394 (2021) - [i3]Yun Peng, Zongjie Li, Cuiyun Gao, Bowei Gao, David Lo, Michael R. Lyu:
HiTyper: A Hybrid Static Type Inference Framework with Neural Prediction. CoRR abs/2105.03595 (2021) - [i2]Chaozheng Wang, Zhenghao Nong, Cuiyun Gao, Zongjie Li, Jichuan Zeng, Zhenchang Xing, Yang Liu:
Enriching Query Semantics for Code Search with Reinforcement Learning. CoRR abs/2105.09630 (2021) - 2020
- [i1]Wenchao Gu, Zongjie Li, Cuiyun Gao, Chaozheng Wang, Hongyu Zhang, Zenglin Xu, Michael R. Lyu:
CRaDLe: Deep Code Retrieval Based on Semantic Dependency Learning. CoRR abs/2012.01028 (2020)
2010 – 2019
- 2018
- [j2]Ke Guo, Xiabi Liu, Lunhao Guo, Zongjie Li, Zengmin Geng:
A new constrained maximum margin approach to discriminative learning of Bayesian classifiers. Frontiers Inf. Technol. Electron. Eng. 19(5): 639-650 (2018) - 2016
- [c2]Zongjie Li, Xiabi Liu, Shuwen Zhang:
Shot Boundary Detection based on Multilevel Difference of Colour Histograms. ICMIP 2016: 15-22
1990 – 1999
- 1996
- [j1]Tianxu Zhang, Jiaxiong Peng, Zongjie Li:
An adaptive image segmentation method with visual nonlinearity characteristics. IEEE Trans. Syst. Man Cybern. Part B 26(4): 619-627 (1996)
1980 – 1989
- 1988
- [c1]Sipei Chen, Zongjie Li, Guilin Zhang:
A renovated algorithm for extracting moving target from background in real time video tracking system. ICPR 1988: 646-648
Coauthor Index
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