| 2026 | ACL | Neuron-Aware Active Few-Shot Learning for LLMs. | Zhuowei Chen, Liwei Chen, Christian Schunn, Raquel Coelho, Xiang Lorraine Li |
| 2026 | ACL | From Short Video to Clickable Search: RLVR-Enabled Listwise Query Suggestion with Retrieval-Augmented Context. | Mingkai Tian, Ye Xu, Long Meng, Liwei Chen, Zhiheng Qin, Yi Wang |
| 2025 | AAAI | Granularity-Adaptive Spatial Evidence Tokenization for Video Question Answering. | Hao Jiang, Yang Jin, Zhicheng Sun, Kun Xu, Kun Xu, Liwei Chen, Yang Song, Kun Gai, Yadong Mu |
| 2025 | ACSAC | Into the Unknown: Fuzzing CPU Non-standard Instructions with MystFuzz. | Zihui Guo, Wenhao Cui, Liwei Chen, Miaomiao Yuan, Gang Shi, Dan Meng |
| 2025 | CCS | DiveFuzz: Enhancing CPU Fuzzing via Diverse Instruction Construction. | Zihui Guo, Miaomiao Yuan, Yanqi Yang, Liwei Chen, Gang Shi, Dan Meng |
| 2025 | CSCWD | ArgvFuzz: Argv-Sensitive Multi-Target Directed Greybox Fuzzing. | Chenjie Hu, Zhijie Zhang, Liwei Chen, Gang Shi |
| 2025 | EMNLP | Following the Autoregressive Nature of LLM Embeddings via Compression and Alignment. | Jingcheng Deng, Zhongtao Jiang, Liang Pang, Zihao Wei, Liwei Chen, Kun Xu, Yang Song, Huawei Shen, Xueqi Cheng |
| 2025 | ICSE | Critical Variable State-Aware Directed Greybox Fuzzing. | Xu Chen, Ningning Cui, Zhe Pan, Liwei Chen, Gang Shi, Dan Meng |
| 2025 | VTC | Multi-UAV Cooperative Task Allocation Based on Improved Multi-Objective Artificial Rabbit Optimization. | Yuqian Hao, Min Ouyang, Zhihong Xi, Tong Wang, Shan Gao, Liwei Chen |
| 2024 | ACL | Harder Task Needs More Experts: Dynamic Routing in MoE Models. | Quzhe Huang, Zhenwei An, Nan Zhuang, Mingxu Tao, Chen Zhang, Yang Jin, Kun Xu, Liwei Chen, Songfang Huang, Yansong Feng |
| 2024 | COLING | Probing Multimodal Large Language Models for Global and Local Semantic Representations. | Mingxu Tao, Quzhe Huang, Kun Xu, Liwei Chen, Yansong Feng, Dongyan Zhao |
| 2024 | ESORICS | Scheduled Execution-Based Binary Indirect Call Targets Refinement. | Yangyang Shi, Linan Tian, Liwei Chen, Yanqi Yang, Gang Shi |
| 2024 | ICASSP | CPMSVD: Cross-Project Multiclass Software Vulnerability Detection Via Fused Deep Feature and Domain Adaptation. | Gewangzi Du, Liwei Chen, Tongshuai Wu, Chenguang Zhu, Gang Shi |
| 2024 | ICIS | Design and Evaluation Attributes for Scalable, Cost-Effective Personalization of LLM Tutors in Programming Education. | Arun Rai, Liwei Chen, Cynthia Breazeal, Balasubramaniam Ramesh, Yuan Long, Andrea Aria |
| 2024 | ICLR | Unified Language-Vision Pretraining in LLM with Dynamic Discrete Visual Tokenization. | Yang Jin, Kun Xu, Liwei Chen, Chao Liao, Jianchao Tan, Quzhe Huang, Bin Chen, Chengru Song, Dai Meng, Di Zhang, Wenwu Ou, Kun Gai, Yadong Mu |
| 2024 | ICML | Video-LaVIT: Unified Video-Language Pre-training with Decoupled Visual-Motional Tokenization. | Yang Jin, Zhicheng Sun, Kun Xu, Kun Xu, Liwei Chen, Hao Jiang, Quzhe Huang, Chengru Song, Yuliang Liu, Di Zhang, Yang Song, Kun Gai, Yadong Mu |
| 2024 | ISCAS | Code Property Graph based Cross-Domain Vulnerability Detection via Deep Fused Feature. | Gewangzi Du, Liwei Chen, Tongshuai Wu, Xiong Zheng, Gang Shi |
| 2024 | ISPA | C-Fuzz: Fuzzing with Forced Program Control Flow Jumps. | Zhe Pan, Xu Chen, Liwei Chen, Gang Shi |
| 2024 | ISSTA | Sleuth: A Switchable Dual-Mode Fuzzer to Investigate Bug Impacts Following a Single PoC. | Haolai Wei, Liwei Chen, Zhijie Zhang, Gang Shi, Dan Meng |
| 2024 | ISSTA | Prospector: Boosting Directed Greybox Fuzzing for Large-Scale Target Sets with Iterative Prioritization. | Zhijie Zhang, Liwei Chen, Haolai Wei, Gang Shi, Dan Meng |
| 2023 | CSCWD | Cross Domain on Snippets: BiLSTM-TextCNN based Vulnerability Detection with Domain Adaptation. | Gewangzi Du, Liwei Chen, Tongshuai Wu, Xiong Zheng, Ningning Cui, Gang Shi |
| 2023 | CSCWD | Code Property Graph based Vulnerability Type Identification with Fusion Representation. | Chenguang Zhu, Tongshuai Wu, Ningning Cui, Xiong Zheng, Liwei Chen, Gang Shi |
| 2023 | HealthCom | A Multimodal Deep Learning Model for Preoperative Risk Prediction of Follicular Thyroid Carcinoma. | Liwei Chen, Fan Zhang, Sixing Yin, Liang Yin, Shufang Li |
| 2023 | ICDCS | Embedding the Social Value in Algorithmic Innovation and Companies Competitiveness: Evidence from the food-delivery platforms in China. | Liwei Chen, Xin Gao, Jingjing Qu, Lin Tang |
| 2023 | ICONIP | Identify Vulnerability Types: A Cross-Project Multiclass Vulnerability Classification System Based on Deep Domain Adaptation. | Gewangzi Du, Liwei Chen, Tongshuai Wu, Chenguang Zhu, Gang Shi |
| 2023 | ISCC | BVSNO: Binary Code Vulnerability Detection Based on Slice Semantic and Node Order. | Ningning Cui, Liwei Chen, Gang Shi |
| 2022 | CGO | Gadgets Splicing: Dynamic Binary Transformation for Precise Rewriting. | Linan Tian, Yangyang Shi, Liwei Chen, Yanqi Yang, Gang Shi |
| 2022 | CSCWD | Inductive Vulnerability Detection via Gated Graph Neural Network. | Tongshuai Wu, Liwei Chen, Gewangzi Du, Chenguang Zhu, Ningning Cui, Gang Shi |
| 2022 | IJCNN | Automated Vulnerable Codes Mutation through Deep Learning for Variability Detection. | Kang Cheng, Gewangzi Du, Tongshuai Wu, Liwei Chen, Gang Shi |
| 2022 | ISPA | BHMVD: Binary Code-based Hybrid Neural Network for Multiclass Vulnerability Detection. | Ningning Cui, Liwei Chen, Gewangzi Du, Tongshuai Wu, Chenguang Zhu, Gang Shi |
| 2022 | ISPA | MVDetecter: Vulnerability Primitive-based General Memory Vulnerability Detection. | Xiaofan Nie, Haolai Wei, Liwei Chen, Zhijie Zhang, Yuantong Zhang, Gang Shi |
| 2022 | ISPA | An Efficient Metric-Based Approach for Static Use-After-Free Detection. | Haolai Wei, Liwei Chen, Xiaofan Nie, Zhijie Zhang, Yuantong Zhang, Gang Shi |
| 2022 | ISPA | An Effective Buffer Overflow Detection With Super Data-Flow Graphs. | Yuantong Zhang, Liwei Chen, Xiaofan Nie, Gang Shi |
| 2022 | ISPA | Binary-level Directed Symbolic Execution Through Pattern Learning. | Zhijie Zhang, Liwei Chen, Haolai Wei, Guochao Dong, Yuantong Zhang, Xiaofan Nie, Gang Shi |
| 2022 | TrustCom | TFCFI:Transparent Forward Fine-grained Control-Flow Integrity Protection. | Cairui She, Liwei Chen, Gang Shi |
| 2021 | ISPA | Self-Attention based Automated Vulnerability Detection with Effective Data Representation. | Tongshuai Wu, Liwei Chen, Gewangzi Du, Chenguang Zhu, Gang Shi |
| 2021 | ISPA | Finding Runtime Usable Gadgets: On the Security of Return Address Authentication. | Qizhen Xu, Zhijie Zhang, Lin Zhang, Liwei Chen, Gang Shi |
| 2021 | ISPA | Accelerating Data-Flow Analysis with Full-Partitioning. | Yuantong Zhang, Liwei Chen, Xiaofan Nie, Zhijie Zhang, Haolai Wei, Gang Shi |
| 2020 | ESORICS | Zipper Stack: Shadow Stacks Without Shadow. | Jinfeng Li, Liwei Chen, Qizhen Xu, Linan Tian, Gang Shi, Kai Chen, Dan Meng |
| 2020 | ISPA | AVDHRAM: Automated Vulnerability Detection based on Hierarchical Representation and Attention Mechanism. | Wenyan An, Liwei Chen, Jinxin Wang, Gewangzi Du, Gang Shi, Dan Meng |
| 2020 | TrustCom | An Efficient Vulnerability Extrapolation Using Similarity of Graph Kernel of PDGs. | Jingxiang Zeng, Xiaofan Nie, Liwei Chen, Jinfeng Li, Gewangzi Du, Gang Shi |
| 2019 | APSEC | Dam: A Practical Scheme to Mitigate Data-Oriented Attacks with Tagged Memory Based on Hardware. | Mengyu Ma, Liwei Chen, Gang Shi |
| 2018 | EMNLP | Exploiting Rich Syntactic Information for Semantic Parsing with Graph-to-Sequence Model. | Kun Xu, Lingfei Wu, Zhiguo Wang, Mo Yu, Liwei Chen, Vadim Sheinin |
| 2018 | ISPA | A Comprehensive Detection of Memory Corruption Vulnerabilities for C/C++ Programs. | Yuhan Gao, Liwei Chen, Gang Shi, Fei Zhang |
| 2018 | TrustCom | TMDFI: Tagged Memory Assisted for Fine-Grained Data-Flow Integrity Towards Embedded Systems Against Software Exploitation. | Tong Liu, Gang Shi, Liwei Chen, Fei Zhang, Yaxuan Yang, Jihu Zhang |
| 2017 | SEC | Gadget Weighted Tagging: A Flexible Framework to Protect Against Code Reuse Attacks. | Liwei Chen, Mengyu Ma, Wenhao Zhang, Gang Shi, Dan Meng |
| 2015 | EMNLP | Learn to Solve Algebra Word Problems Using Quadratic Programming. | Lipu Zhou, Shuaixiang Dai, Liwei Chen |
| 2015 | ICIS | Physicians' Online Popularity and Price Premiums for Online Health Consultations: A Combined Signaling Theory and Online Feedback Mechanisms Explanation. | Liwei Chen, Arun Rai, Xitong Guo |
| 2014 | ACL | Encoding Relation Requirements for Relation Extraction via Joint Inference. | Liwei Chen, Yansong Feng, Songfang Huang, Yong Qin, Dongyan Zhao |
| 2014 | EMNLP | Joint Inference for Knowledge Base Population. | Liwei Chen, Yansong Feng, Jinghui Mo, Songfang Huang, Dongyan Zhao |
| 2014 | ICIS | Consumer Awareness and Use of Mobile Health Services in India: An Urban - Rural Comparison Study. | Liwei Chen, Arun Rai, Ganapathy Krishnan |
| 2012 | APWEB | Learning Chinese Entity Attributes from Online Encyclopedia. | Yidong Chen, Liwei Chen, Kun Xu |
| 2012 | EMNLP | Explore Person Specific Evidence in Web Person Name Disambiguation. | Liwei Chen, Yansong Feng, Lei Zou, Dongyan Zhao |
| 2010 | SIGIR | Evaluating whole-page relevance. | Peter Bailey, Nick Craswell, Ryen W. White, Liwei Chen, Ashwin Satyanarayana, Seyed M. M. Tahaghoghi |
| 2009 | ICIS | Understanding Cross National Difference in Knowledge Seeking Behavior Model: A Survival Perspective. | Liwei Chen, J. J. Po-An Hsieh, Evert Van de Vliert, Xu Huang |
| 2009 | SIGIR | Predicting user interests from contextual information. | Ryen W. White, Peter Bailey, Liwei Chen |