Xiangzhou Zhang

26 papers Journal 21Unranked 5
YearRankTypeTitle / Venue / Authors
2024 J jnl
Int. J. Medical Informatics
Mingyang Zhang, Xiangzhou Zhang, Mingyang Dai, Lijuan Wu, Kang Liu, Hongnian Wang, Weiqi Chen, Mei Liu, Yong Hu
2024 J jnl
Health Informatics J.
Bo Liu, Xiangzhou Zhang, Kang Liu, Xinhou Hu, Eric W. T. Ngai, Weiqi Chen, Ho Yin Chan, Yong Hu, Mei Liu
2022 J jnl
Int. J. Intell. Syst.
Xiangzhou Zhang, Kang Liu, Borong Yuan, Hongnian Wang, Shaoyong Chen, Yunfei Xue, Weiqi Chen, Mei Liu, Yong Hu
2022 J jnl
Int. J. Medical Informatics
Kang Liu, Borong Yuan, Xiangzhou Zhang, Weiqi Chen, Lav P. Patel, Yong Hu, Mei Liu
2022 J jnl
Int. J. Medical Informatics
Lijuan Wu, Yong Hu, Xiangzhou Zhang, Jia Zhang, Mei Liu
2022 J jnl
Knowl. Based Syst.
Lijuan Wu, Yong Hu, Xiangzhou Zhang, Borong Yuan, Weiqi Chen, Kang Liu, Mei Liu
2021 J jnl
IEEE Trans. Image Process.
Xiangzhou Zhang, Bingpeng Ma, Hong Chang, Shiguang Shan, Xilin Chen
2021 J jnl
BMC Bioinform.
Qichao Luo, Shenglong Mo, Yunfei Xue, Xiangzhou Zhang, Yuliang Gu, Lijuan Wu, Jia Zhang, Linyan Sun, Mei Liu, Yong Hu
2020 J jnl
Int. J. Medical Informatics
Lijuan Wu, Yong Hu, Borong Yuan, Xiangzhou Zhang, Weiqi Chen, Kang Liu, Mei Liu
2018 J jnl
BMC Medical Informatics Decis. Mak.
Weiqi Chen, Yong Hu, Xiangzhou Zhang, Lijuan Wu, Kang Liu, Jianqin He, Zilin Tang, Xing Song, Lemuel R. Waitman, Mei Liu
2016 J jnl
Soft Comput.
Weiqi Chen, Zhifeng Hao, Ruichu Cai, Xiangzhou Zhang, Yong Hu, Mei Liu
2015 J jnl
Knowl. Based Syst.
Xiangzhou Zhang, Yong Hu, Kang Xie, Weiguo Zhang, Lijun Su, Mei Liu
2015 J jnl
Appl. Soft Comput.
Yong Hu, Kang Liu, Xiangzhou Zhang, Lijun Su, E. W. T. Ngai, Mei Liu
2015 J jnl
Electron. Commer. Res. Appl.
Yong Hu, Kang Liu, Xiangzhou Zhang, Kang Xie, Weiqi Chen, Yuran Zeng, Mei Liu
2015 J jnl
Decis. Support Syst.
Yong Hu, Bin Feng, Xizhu Mo, Xiangzhou Zhang, E. W. T. Ngai, Ming Fan, Mei Liu
2015 J jnl
Expert Syst. Appl.
Yong Hu, Bin Feng, Xiangzhou Zhang, E. W. T. Ngai, Mei Liu
2015 J jnl
Int. J. Data Warehous. Min.
Yong Hu, Xiangzhou Zhang, Bin Feng, Kang Xie, Mei Liu
2014 J jnl
Neurocomputing
Xiangzhou Zhang, Yong Hu, Kang Xie, Shouyang Wang, E. W. T. Ngai, Mei Liu
2014 conf
3PGCIC
Yong Hu, Kang Liu, Bin Feng, Lijun Su, Xiangzhou Zhang, Weiqi Chen, Yuran Zeng
2014 conf
3PGCIC
Weiqi Chen, Kang Liu, Lijun Su, Mei Liu, Zhifeng Hao, Yong Hu, Xiangzhou Zhang
2013 conf
WHICEB
Hongming Zhang, Bin Feng, Xizhu Mo, Lijun Su, Xiangzhou Zhang, Yong Hu
2013 conf
WHICEB
Yong Hu, Bin Feng, Xiangzhou Zhang, Xin Ying Qiu, Risong Li, Kang Xie
2013 J jnl
Decis. Support Syst.
Yong Hu, Jianfeng Du, Xiangzhou Zhang, Xiaoling Hao, E. W. T. Ngai, Ming Fan, Mei Liu
2013 J jnl
Decis. Support Syst.
Yong Hu, Xiangzhou Zhang, E. W. T. Ngai, Ruichu Cai, Mei Liu
2013 conf
EIDWT
Yong Hu, Bin Feng, Xiangzhou Zhang, Kang Liu, Kang Xie, Mei Liu
2012 J jnl
J. Softw.
Yong Hu, Xizhu Mo, Xiangzhou Zhang, Yuran Zeng, Jianfeng Du, Kang Xie
tests/scripts/test_linking.py
← Index tests/scripts/test_linking.py python
#!/usr/bin/env python3
"""
Test script to verify the linking between decompiled and disassembled functions.
"""

import sys
import os
from pathlib import Path

# Add the redb directory to the path
sys.path.insert(0, str(Path(__file__).parent / "redb"))

from redb.extractors.decompiler.DecompileBinja import DecompileBinja
import logging

def test_linking():
    """Test that decompiled and disassembled functions are properly linked."""
    
    # Setup logging
    logging.basicConfig(level=logging.INFO)
    logger = logging.getLogger("test_linking")
    
    # Use a simple test binary (you'll need to provide a path to a test binary)
    test_binary = "test_files/hello"  # Adjust this path as needed
    
    if not os.path.exists(test_binary):
        print(f"Test binary not found: {test_binary}")
        print("Please provide a valid binary path for testing")
        return False
    
    try:
        # Create and run the extractor
        with DecompileBinja(test_binary, logger) as extractor:
            success = extractor.extract()
            
            if not success:
                print("Extraction failed")
                return False
            
            # Get the analysis results
            results = extractor.analysis_results
            
            if not results:
                print("No analysis results")
                return False
            
            print(f"Analysis completed successfully")
            print(f"Decompiled functions: {len(results['decompiled'])}")
            print(f"Disassembled functions: {len(results['disassembled'])}")
            
            # Test linking
            linking_issues = []
            linked_pairs = 0
            decompiled_only = 0
            disassembled_only = 0
            
            # Check decompiled functions have proper linking
            for decomp_func in results['decompiled']:
                decomp_hash = decomp_func.get('decompiled_function_hash')
                disasm_hash = decomp_func.get('disassembled_function_hash')
                
                if disasm_hash is None:
                    decompiled_only += 1
                    print(f"⚠️  Decompiled function {decomp_func.get('decompiled_function_name')} has no disassembled link (decompiled-only)")
                else:
                    linked_pairs += 1
                    print(f"✓ Decompiled function {decomp_func.get('decompiled_function_name')} linked to disassembled hash: {disasm_hash[:16]}...")
            
            # Check disassembled functions have proper linking
            for disasm_func in results['disassembled']:
                disasm_hash = disasm_func.get('disassembled_function_hash')
                decomp_hash = disasm_func.get('decompiled_function_hash')
                
                if decomp_hash is None:
                    disassembled_only += 1
                    print(f"⚠️  Disassembled function {disasm_func.get('disassembled_function_name')} has no decompiled link (disassembled-only)")
                else:
                    print(f"✓ Disassembled function {disasm_func.get('disassembled_function_name')} linked to decompiled hash: {decomp_hash[:16]}...")
            
            # Verify cross-references are consistent
            decompiled_hashes = {f['decompiled_function_hash']: f for f in results['decompiled']}
            disassembled_hashes = {f['disassembled_function_hash']: f for f in results['disassembled']}
            
            for decomp_func in results['decompiled']:
                decomp_hash = decomp_func.get('decompiled_function_hash')
                disasm_hash = decomp_func.get('disassembled_function_hash')
                
                if disasm_hash and disasm_hash in disassembled_hashes:
                    corresponding_disasm = disassembled_hashes[disasm_hash]
                    if corresponding_disasm.get('decompiled_function_hash') != decomp_hash:
                        linking_issues.append(f"Inconsistent linking: decompiled {decomp_hash[:16]}... -> disassembled {disasm_hash[:16]}... but reverse link doesn't match")
            
            # Summary
            print(f"\n📊 Linking Summary:")
            print(f"  - Linked function pairs: {linked_pairs}")
            print(f"  - Decompiled-only functions: {decompiled_only}")
            print(f"  - Disassembled-only functions: {disassembled_only}")
            print(f"  - Total functions processed: {len(results['decompiled']) + len(results['disassembled'])}")
            
            if linking_issues:
                print(f"\n❌ Linking issues found:")
                for issue in linking_issues:
                    print(f"  - {issue}")
                return False
            else:
                print(f"\n✅ All linking tests passed!")
                print(f"✅ Cross-references are consistent!")
                return True
                
    except Exception as e:
        print(f"Test failed with exception: {e}")
        return False

if __name__ == "__main__":
    success = test_linking()
    sys.exit(0 if success else 1)