Wei Jiang

24 papers B 1Journal 19Unranked 4
YearRankTypeTitle / Venue / Authors
2026 J jnl
Neurocomputing
Wei Jiang, Xiyi Yuan, Hongyan Li, Kewei Tang, Lijun Wang, Nan Zhang, Huiling Chen, Heng Qi
2026 J jnl
Inf. Fusion
Fengyang Ding, Hui Huang, Min Yu, Wei Jiang, Zhen Xu, Jun Yin, Nan Zhang
2025 J jnl
Neurocomputing
Wei Jiang, Yujie Luan, Kewei Tang, Lijun Wang, Nan Zhang, Huiling Chen, Heng Qi
2025 J jnl
Biomed. Signal Process. Control.
Shiqi Xu, Wei Jiang, Yi Chen, Ali Asghar Heidari, Lei Liu, Huiling Chen, Guoxi Liang
2024 J jnl
J. Comput. Des. Eng.
Shiqi Xu, Wei Jiang, Yi Chen, Ali Asghar Heidari, Lei Liu, Huiling Chen, Guoxi Liang
2024 J jnl
IEEE Access
Xixiang Chen, Jingjing Zheng, Li Zhao, Wei Jiang, Xiaoqin Zhang
2023 J jnl
Pattern Recognit.
Wei Jiang, Jun Zhang, Changsheng Zhang, Lijun Wang, Heng Qi
2023 J jnl
IEEE Trans. Knowl. Data Eng.
Kewei Tang, Kaiqiang Xu, Wei Jiang, Zhixun Su, Xiyan Sun, Xiaonan Luo
2022 J jnl
Pattern Anal. Appl.
Kewei Tang, Liying Cao, Nan Zhang, Wei Jiang
2019 J jnl
Neural Networks
Kewei Tang, Zhixun Su, Jie Zhang, Lihong Cui, Wei Jiang, Xiaonan Luo, Xiyan Sun
2019 J jnl
Neural Comput. Appl.
Kewei Tang, Zhixun Su, Wei Jiang, Jie Zhang, Xiyan Sun, Xiaonan Luo
2019 conf
ICCV Workshops
Kewei Tang, Kaiqiang Xu, Zhixun Su, Wei Jiang, Xiaonan Luo, Xiyan Sun
2019 J jnl
Pattern Recognit.
Kewei Tang, Zhixun Su, Yang Liu, Wei Jiang, Jie Zhang, Xiyan Sun
2019 J jnl
Neural Comput. Appl.
Kewei Tang, Zhixun Su, Wei Jiang, Jie Zhang
2018 J jnl
Multim. Tools Appl.
Ling Xing, Hao Dong, Wei Jiang, Kewei Tang
2018 J jnl
IEEE Access
Wei Jiang, Xiaoting Feng, Tingting Ma, Ling Xing, Kewei Tang
2018 J jnl
Complex.
Wei Jiang, Qian Lv, Chenggang Yan, Kewei Tang, Jie Zhang
2016 J jnl
Inf. Sci.
Wei Jiang, Jing Liu, Heng Qi, Qionghai Dai
2016 conf
ACCV (1)
Kewei Tang, Xiaodong Liu, Zhixun Su, Wei Jiang, Jiangxin Dong
2006 J jnl
IEEE Trans. Image Process.
Wei Jiang, Guihua Er, Qionghai Dai, Jinwei Gu
2005 J jnl
Pattern Recognit.
Wei Jiang, Guihua Er, Qionghai Dai, Jinwei Gu
2005 conf
ICASSP (2)
Wei Jiang, Guihua Er, Qionghai Dai, Lian Zhong, Yao Hou
2004 B conf
ICIP
Wei Jiang, Guihua Er, Qionghai Dai
2004 conf
ICASSP (3)
Wei Jiang, Guihua Er, Qionghai Dai
docs/new_database_schema.md
← Index docs/new_database_schema.md markdown

## LLIL function

| Field Name | Field Type | Description |
|-------------|-------------|-------------|
| function_type | string | The inferred type of the analyzed function, determined by the FunctionTypeAnalysis module (e.g., standard, library, thunk). |
| sha256_llil | string | SHA-256 hash computed from the Low-Level Intermediate Language (LLIL) instructions of the function. |
| ssdeep_llil | string | Fuzzy hash (ssdeep) of the LLIL instruction sequence, used for similarity detection. |
| tlsh_llil | string | TLSH (Trend Locality Sensitive Hash) value of the LLIL instructions, used for approximate matching and similarity comparison. |
| instructions_types_llil | list[string] | List of unique LLIL instruction types (e.g., arithmetic, control flow, memory operations). |
| control_flow_count_llil | integer | Number of control flow instructions in the LLIL representation (e.g., branches, jumps, calls). |
| memory_access_pattern_llil | dict | Patterns of memory access operations detected in the LLIL code (e.g., loads, stores, stack operations). |
| register_usage | dict | Summary of register usage, indicating which registers are read and written in the function. |
| total_reg_reads | integer | Total number of register read operations in the LLIL code. |
| total_reg_written | integer | Total number of register write operations in the LLIL code. |
| data_references_count | integer | Number of data references in the LLIL code (e.g., constants, global variables). |
| max_block_size | integer | Size of the largest basic block in the LLIL representation, measured in number of instructions. |
| num_calls | integer | Total number of function call instructions present in the LLIL code. |
| stack_size | integer | Estimated stack size used by the function, inferred from LLIL analysis. |


## CFG level

| Field Name          | Field Type    | Description                                                                                                                               |
|---------------------|---------------|-------------------------------------------------------------------------------------------------------------------------------------------|
| block_id            | integer       | Unique identifier for the basic block within the function (block_instructions + str(block.start) + str(block.end) + str(function.start)). |
| function_address    | integer       | Starting memory address of the parent function containing this block.                                                                     |
| block_start_address | integer       | Starting address of the basic block in memory.                                                                                            |
| block_end_address   | integer       | Ending address of the basic block in memory.                                                                                              |
| block_size          | integer       | Size of the basic block in bytes (computed as end - start).                                                                               |
| instructions_count  | integer       | Number of instructions contained in the basic block.                                                                                      |
| block_instructions  | string        | MD5 hash of the block's instruction sequence, used for integrity or similarity checks.                                                    |
| predecessor_blocks  | list[u64]     | List of addresses or IDs of predecessor blocks in the control flow graph (CFG).                                                           |
| successor_blocks    | list[u64]     | List of addresses or IDs of successor blocks in the CFG.                                                                                  |
| depth               | integer       | Depth level of the block in the control flow graph, starting from the entry block.                                                        |
| position            | integer       | Sequential position or index of the block within the function’s block map.                                                                |
| branch_type         | string        | Type of branch ending the block (e.g., conditional, unconditional, call, return).                                                         |
| block_type          | string        | Classification of the block (e.g., entry, exit, loop header, regular).                                                                    |
| flags               | dict          | Metadata or attributes extracted from the block (e.g., specific behavior or conditions).                                                  |
| dominators          | list[integer] | List of block addresses or IDs that dominate this block in the control flow graph.                                                        |
| post_dominators     | list[integer] | List of block addresses or IDs that post-dominate this block in the control flow graph.                                                   |
 | measures            | list[tuples]  | List of measures to be defined                                                                                                            |

## Disassembly

| Field Name | Field Type | Description |
|-------------|-------------|-------------|
| disassembled_function_hash | string | SHA-256 hash of the disassembled function string, used as a unique identifier. |
| disassembled_function | string | The disassembled function including instruction addresses. |
| disassembled_function_no_addresses | string | The disassembled function without instruction addresses, containing only the instruction mnemonics and operands. |
| disassembled_function_name | string | The name of the analyzed function. |
| disassembled_function_address | integer | The starting memory address of the disassembled function. |
| instructions_count | integer | Total number of instructions within the disassembled function. |
| function_type | string | The inferred type of the function as determined by the FunctionTypeAnalysis module (e.g., standard, library, thunk). |
| instructions_types | list[string] | List of unique instruction types (e.g., arithmetic, logic, control flow, memory). |
| control_flow_count | integer | Number of control flow instructions (e.g., jumps, calls, returns). |
| memory_access_pattern | dict | Patterns of memory access operations detected in the function (e.g., loads, stores, stack operations). |
| register_usage | dict | Summary of register usage, showing which registers are read from or written to. |
| data_references_count | integer | Count of data references made by the function (e.g., global variables or constants). |
| max_block_size | integer | The size of the largest basic block (in number of instructions). |
| num_calls | integer | Total number of function call instructions. |
| stack_size | integer | Estimated stack size used by the function. |

## Decompilation

| Field Name | Field Type | Description |
|-------------|-------------|-------------|
| decompiled_function_hash | string | SHA-256 hash of the decompiled function code, used as a unique identifier. |
| decompiled_function | string | The decompiled function source code in high-level representation. |
| decompiled_function_name | string | The name of the decompiled function. |
| decompiled_function_prototype | string | The function prototype, including return type, name, and parameters. |
| decompiled_function_address | integer | The starting memory address of the decompiled function. |
| function_type | string | The inferred function type from the FunctionTypeAnalysis module (e.g., standard, library, thunk). |
| functions_caller | list[string] | List of functions that call this function (incoming call references). |
| functions_call | list[string] | List of functions called by this function (outgoing call references). |
| flattened_score | float | Score representing the degree of control-flow flattening detected in the function. |
| mba_score | float | Score representing the presence or intensity of mixed boolean arithmetic (MBA) obfuscation patterns. |