| 2026 | ACL | SEARL: Joint Optimization of Policy and Tool Graph Memory for Self-Evolving Agents. | Xinshun Feng, Xinhao Song, Lijun Li, Gongshen Liu, Jing Shao |
| 2026 | ACL | The Confidence Paradox: Unveiling the Latent Discriminative Power of Diffusion Large Language Models in Mathematical Reasoning. | Yansi Li, Gongshen Liu, Zhuosheng Zhang |
| 2026 | ACL | EVA: Evolving Semantic Adversaries for Red-Teaming GUI Agents Against Environmental Injection Attacks. | Yijie Lu, Manman Zhao, Tianjie Ju, Zihe Yan, Xinbei Ma, Yuan Guo, Daizong Ding, Gongshen Liu, Zhuosheng Zhang |
| 2026 | KSEM | Domain Adaptation of MLLM-Based GUI Agents in Documentation-Rich Environments with Standard Operating Procedures. | Lingzhong Dong, Ziqi Zhou, Pengzhou Cheng, Zongru Wu, Zheng Wu, Gongshen Liu, Zhuosheng Zhang |
| 2025 | ACL | OS-Kairos: Adaptive Interaction for MLLM-Powered GUI Agents. | Pengzhou Cheng, Zheng Wu, Zongru Wu, Tianjie Ju, Aston Zhang, Zhuosheng Zhang, Gongshen Liu |
| 2025 | COLING | ALIS: Aligned LLM Instruction Security Strategy for Unsafe Input Prompt. | Xinhao Song, Sufeng Duan, Gongshen Liu |
| 2025 | COLING | Gracefully Filtering Backdoor Samples for Generative Large Language Models without Retraining. | Zongru Wu, Pengzhou Cheng, Lingyong Fang, Zhuosheng Zhang, Gongshen Liu |
| 2025 | EMNLP | Hidden Ghost Hand: Unveiling Backdoor Vulnerabilities in MLLM-Powered Mobile GUI Agents. | Pengzhou Cheng, Haowen Hu, Zheng Wu, Zongru Wu, Tianjie Ju, Daizong Ding, Zhuosheng Zhang, Gongshen Liu |
| 2025 | ICASSP | Towards A Distribution Alignment Framework for Incomplete Data Classification. | Linqing Huang, Jinfu Fan, Shilin Wang, Gongshen Liu, Shouxuan Liu |
| 2025 | ICCV | Can Knowledge be Transferred from Unimodal to Multimodal? Investigating the Transitivity of Multimodal Knowledge Editing. | Lingyong Fang, Xinzhong Wang, Depeng Wang, Zongru Wu, Ya Guo, Huijia Zhu, Zhuosheng Zhang, Gongshen Liu |
| 2025 | ICIP | New Multi-Source Distributed Transfer Learning Framework. | Linqing Huang, Jing Zhu, Yumei Hu, Shilin Wang, Gongshen Liu, Jinfu Fan |
| 2025 | ICML | Watch Out Your Album! On the Inadvertent Privacy Memorization in Multi-Modal Large Language Models. | Tianjie Ju, Yi Hua, Hao Fei, Zhenyu Shao, Yubin Zheng, Haodong Zhao, Mong-Li Lee, Wynne Hsu, Zhuosheng Zhang, Gongshen Liu |
| 2025 | NAACL | SynGhost: Invisible and Universal Task-agnostic Backdoor Attack via Syntactic Transfer. | Pengzhou Cheng, Wei Du, Zongru Wu, Fengwei Zhang, Libo Chen, Zhuosheng Zhang, Gongshen Liu |
| 2025 | SMC | GTRNet: Graph Topology-aware Refinement Network for User Role Classification in Social Networks. | Tingxuan Gu, Linqing Huang, Gongshen Liu |
| 2024 | ACL | UOR: Universal Backdoor Attacks on Pre-trained Language Models. | Wei Du, Peixuan Li, Haodong Zhao, Tianjie Ju, Ge Ren, Gongshen Liu |
| 2024 | ACL | Investigating Multi-Hop Factual Shortcuts in Knowledge Editing of Large Language Models. | Tianjie Ju, Yijin Chen, Xinwei Yuan, Zhuosheng Zhang, Wei Du, Yubin Zheng, Gongshen Liu |
| 2024 | ACL | Acquiring Clean Language Models from Backdoor Poisoned Datasets by Downscaling Frequency Space. | Zongru Wu, Zhuosheng Zhang, Pengzhou Cheng, Gongshen Liu |
| 2024 | COLING | Backdoor NLP Models via AI-Generated Text. | Wei Du, Tianjie Ju, Ge Ren, Gaolei Li, Gongshen Liu |
| 2024 | COLING | How Large Language Models Encode Context Knowledge? A Layer-Wise Probing Study. | Tianjie Ju, Weiwei Sun, Wei Du, Xinwei Yuan, Zhaochun Ren, Gongshen Liu |
| 2024 | EMNLP | R-Judge: Benchmarking Safety Risk Awareness for LLM Agents. | Tongxin Yuan, Zhiwei He, Lingzhong Dong, Yiming Wang, Ruijie Zhao, Tian Xia, Lizhen Xu, Binglin Zhou, Fangqi Li, Zhuosheng Zhang, Rui Wang, Gongshen Liu |
| 2024 | ICANN | FashionGPT: A Large Vision-Language Model for Enhancing Fashion Understanding. | Duanxiao Song, Dehong Gao, Gongshen Liu, Xiaoyong Li |
| 2024 | ICASSP | NWS: Natural Textual Backdoor Attacks Via Word Substitution. | Wei Du, Tongxin Yuan, Haodong Zhao, Gongshen Liu |
| 2024 | ICASSP | Multi-Grained Multimodal Interaction Network for Sentiment Analysis. | Lingyong Fang, Gongshen Liu, Ru Zhang |
| 2023 | AAAI | PLMmark: A Secure and Robust Black-Box Watermarking Framework for Pre-trained Language Models. | Peixuan Li, Pengzhou Cheng, Fangqi Li, Wei Du, Haodong Zhao, Gongshen Liu |
| 2023 | ACL | Is Continuous Prompt a Combination of Discrete Prompts? Towards a Novel View for Interpreting Continuous Prompts. | Tianjie Ju, Yubin Zheng, Hanyi Wang, Haodong Zhao, Gongshen Liu |
| 2023 | ICANN | Semantic Information Mining and Fusion Method for Bot Detection. | Lijia Liang, Xinzhong Wang, Gongshen Liu |
| 2023 | ICASSP | FedPrompt: Communication-Efficient and Privacy-Preserving Prompt Tuning in Federated Learning. | Haodong Zhao, Wei Du, Fangqi Li, Peixuan Li, Gongshen Liu |
| 2023 | ICONIP | SDPSAT: Syntactic Dependency Parsing Structure-Guided Semi-Autoregressive Machine Translation. | Xinran Chen, Yuran Zhao, Jianming Guo, Sufeng Duan, Gongshen Liu |
| 2023 | IJCNN | Neural Linguistic Steganography with Controllable Security. | Tianhe Lu, Gongshen Liu, Ru Zhang, Tianjie Ju |
| 2023 | IJCNN | Robust Secret Data Hiding for Transformer-based Neural Machine Translation. | Tianhe Lu, Gongshen Liu, Ru Zhang, Peixuan Li, Tianjie Ju |
| 2023 | IJCNN | SCS-VAE: Generate Style Headlines Via Novel Disentanglement. | Zhaoqian Zhu, Xiang Lin, Gongshen Liu, Bo Su, Tianhe Lu |
| 2022 | COLING | Few-shot Table-to-text Generation with Prefix-Controlled Generator. | Yutao Luo, Menghua Lu, Gongshen Liu, Shilin Wang |
| 2022 | COLING | A Multi-Task Dual-Tree Network for Aspect Sentiment Triplet Extraction. | Yichun Zhao, Kui Meng, Gongshen Liu, Jintao Du, Huijia Zhu |
| 2022 | EMNLP | TransAdv: A Translation-based Adversarial Learning Framework for Zero-Resource Cross-Lingual Named Entity Recognition. | Yichun Zhao, Jintao Du, Gongshen Liu, Huijia Zhu |
| 2022 | ICANN | Parallel Relationship Graph to Improve Multi-Document Summarization. | Menghua Lu, Lijia Liang, Gongshen Liu |
| 2022 | IJCAI | PPT: Backdoor Attacks on Pre-trained Models via Poisoned Prompt Tuning. | Wei Du, Yichun Zhao, Boqun Li, Gongshen Liu, Shilin Wang |
| 2022 | IJCNN | Sense-aware BERT and Multi-task Fine-tuning for Multimodal Sentiment Analysis. | Lingyong Fang, Gongshen Liu, Ru Zhang |
| 2022 | IJCNN | Context Modeling with Hierarchical Shallow Attention Structure for Document-Level NMT. | Jianming Guo, Xinran Chen, Zihan Liu, Weijie Yuan, Jianshen Zhang, Gongshen Liu |
| 2022 | IJCNN | TIMS: A Novel Approach for Incrementally Few-Shot Text Instance Selection via Model Similarity. | Tianjie Ju, Han Liao, Gongshen Liu |
| 2022 | IJCNN | KLAttack: Towards Adversarial Attack and Defense on Neural Dependency Parsing Models. | Yutao Luo, Menghua Lu, Chaoqi Yang, Gongshen Liu, Shilin Wang |
| 2022 | IJCNN | SECT: A Successively Conditional Transformer for Controllable Paraphrase Generation. | Tang Xue, Yuran Zhao, Chaoqi Yang, Gongshen Liu, Xiaoyong Li |
| 2022 | IJCNN | Label-Dividing Gated Graph Neural Network for Hierarchical Text Classification. | Siqi Zheng, Jie Zhou, Kui Meng, Gongshen Liu |
| 2022 | Interspeech | A Universal Identity Backdoor Attack against Speaker Verification based on Siamese Network. | Haodong Zhao, Wei Du, Junjie Guo, Gongshen Liu |
| 2022 | NAACL | Improving Constituent Representation with Hypertree Neural Networks. | Hao Zhou, Gongshen Liu, Kewei Tu |
| 2021 | ACL | Entity-Aware Abstractive Multi-Document Summarization. | Hao Zhou, Weidong Ren, Gongshen Liu, Bo Su, Wei Lu |
| 2021 | ICANN | Dynamic Tuning and Weighting of Meta-learning for NMT Domain Adaptation. | Ziyue Song, Zhiyuan Ma, Kaiyue Qi, Gongshen Liu |
| 2021 | ICONIP | Speaker Verification with Disentangled Self-attention. | Junjie Guo, Zhiyuan Ma, Haodong Zhao, Gongshen Liu, Xiaoyong Li |
| 2021 | ICONIP | A Hierarchical Graph-Based Neural Network for Malware Classification. | Shuai Wang, Yuran Zhao, Gongshen Liu, Bo Su |
| 2021 | ICONIP | A Multi-Channel Graph Attention Network for Chinese NER. | Yichun Zhao, Kui Meng, Gongshen Liu |
| 2021 | IJCNN | A Multi -Role Graph Attention Network for Knowledge Graph Alignment. | Linyi Ding, Weijie Yuan, Kui Meng, Gongshen Liu |
| 2021 | IJCNN | Bridging the Gap of Dimensions in Distillation: Understanding the knowledge transfer between different-dimensional semantic spaces. | Zhiyuan Ma, Ziyue Song, Haodong Zhao, Kui Meng, Gongshen Liu |
| 2021 | IJCNN | ASM: Augmentation-based Semantic Mechanism on Abstractive Summarization. | Weidong Ren, Hao Zhou, Gongshen Liu, Fei Huan |
| 2021 | IJCNN | Text Generation with Syntax - Enhanced Variational Autoencoder. | Weijie Yuan, Linyi Ding, Kui Meng, Gongshen Liu |
| 2020 | AAAI | A Character-Centric Neural Model for Automated Story Generation. | Danyang Liu, Juntao Li, Meng-Hsuan Yu, Ziming Huang, Gongshen Liu, Dongyan Zhao, Rui Yan |
| 2020 | ACL | Hierarchy-Aware Global Model for Hierarchical Text Classification. | Jie Zhou, Chunping Ma, Dingkun Long, Guangwei Xu, Ning Ding, Haoyu Zhang, Pengjun Xie, Gongshen Liu |
| 2020 | BMVC | ASAP-Net: Attention and Structure Aware Point Cloud Sequence Segmentation. | Hanwen Cao, Yongyi Lu, Bo Pang, Cewu Lu, Alan L. Yuille, Gongshen Liu |
| 2020 | ICONIP | A Memory-Based Sentence Split and Rephrase Model with Multi-task Training. | Xiaoning Fan, Yiding Liu, Gongshen Liu, Bo Su |
| 2020 | ICONIP | Hierarchical Sentiment Estimation Model for Potential Topics of Individual Tweets. | Qian Ji, Yilin Dai, Yinghua Ma, Gongshen Liu, Quanhai Zhang, Xiang Lin |
| 2020 | ICONIP | Learning Interactions at Multiple Levels for Abstractive Multi-document Summarization. | Yiding Liu, Xiaoning Fan, Jie Zhou, Gongshen Liu |
| 2020 | ICONIP | Sparse Hierarchical Modeling of Deep Contextual Attention for Document-Level Neural Machine Translation. | Jianshen Zhang, Yong Liao, YongAn Li, Gongshen Liu |
| 2020 | ICONIP | Neural Machine Translation with Soft Reordering Knowledge. | Leiying Zhou, Jie Zhou, Wenjie Lu, Kui Meng, Gongshen Liu |
| 2020 | IJCNN | Multi-paragraph Reading Comprehension with Token-level Dynamic Reader and Hybrid Verifier. | Yilin Dai, Qian Ji, Gongshen Liu, Bo Su |
| 2020 | IJCNN | Unleashing the Potential of Attention Model for News Headline Generation. | Yong Liao, Kui Meng, Jianshen Zhang, Gongshen Liu |
| 2020 | IJCNN | Challenge Training to Simulate Inference in Machine Translation. | Wenjie Lu, Jie Zhou, Leiying Zhou, Gongshen Liu, Quanhai Zhang |
| 2019 | ACL | Multiple Character Embeddings for Chinese Word Segmentation. | Jianing Zhou, Jingkang Wang, Gongshen Liu |
| 2019 | ICIP | Lip Image Segmentation in Mobile Devices Based on Alternative Knowledge Distillation. | Cheng Guan, Shilin Wang, Gongshen Liu, Alan Wee-Chung Liew |
| 2019 | ICIP | Viewpoint Estimation in Images by a Key-Point Based Deep Neural Network. | Jiana Yang, Shilin Wang, Gongshen Liu |
| 2019 | ICONIP | Transformer-DW: A Transformer Network with Dynamic and Weighted Head. | Ruxin Tan, Jiahui Sun, Bo Su, Gongshen Liu |
| 2019 | ICONIP | Hie-Transformer: A Hierarchical Hybrid Transformer for Abstractive Article Summarization. | Xuewen Zhang, Kui Meng, Gongshen Liu |
| 2019 | ICONIP | Paragraph-Level Hierarchical Neural Machine Translation. | Yuqi Zhang, Kui Meng, Gongshen Liu |
| 2019 | ICONIP | Hierarchical Attention CNN and Entity-Aware for Relation Extraction. | Xinyu Zhu, Gongshen Liu, Bo Su |
| 2019 | IJCAI | Adaptive User Modeling with Long and Short-Term Preferences for Personalized Recommendation. | Zeping Yu, Jianxun Lian, Ahmad Mahmoody, Gongshen Liu, Xing Xie |
| 2019 | IJCNN | A Transformer-Based Variational Autoencoder for Sentence Generation. | Danyang Liu, Gongshen Liu |
| 2018 | ACML | A Joint Selective Mechanism for Abstractive Sentence Summarization. | Junjie Fu, Gongshen Liu |
| 2018 | COLING | Sliced Recurrent Neural Networks. | Zeping Yu, Gongshen Liu |
| 2018 | COLING | Modeling Multi-turn Conversation with Deep Utterance Aggregation. | Zhuosheng Zhang, Jiangtong Li, Pengfei Zhu, Hai Zhao, Gongshen Liu |
| 2018 | EMNLP | A Unified Syntax-aware Framework for Semantic Role Labeling. | Zuchao Li, Shexia He, Jiaxun Cai, Zhuosheng Zhang, Hai Zhao, Gongshen Liu, Linlin Li, Luo Si |
| 2018 | ICIP | Detecting Double Jpeg Compression with Same Quantization Matrix Based on Dense Cnn Feature. | Xiaosa Huang, Shilin Wang, Gongshen Liu |
| 2018 | ICIP | 3D Convolutional Neural Networks Based Speaker Identification and Authentication. | Jianguo Liao, Shilin Wang, Xingxuan Zhang, Gongshen Liu |
| 2018 | ICIP | Adult Image Classification by a Local-Context Aware Network. | Xizi Wang, Feng Cheng, Shilin Wang, Huanrong Sun, Gongshen Liu, Cheng Zhou |
| 2018 | ICPADS | Leveraging Inner-Connection of Message Sequence for Traffic Classification: A Deep Learning Approach. | Renjie Jin, Guangtao Xue, Feng Lyu, Hao Sheng, Gongshen Liu, Minglu Li |
| 2017 | ICPADS | Ada-copy: An Adaptive Memory Copy Strategy for Virtual Machine Live Migration. | Zhong Wang, Guangtao Xue, Shiyou Qian, Gongshen Liu, Minglu Li, Jian Cao, Jiadi Yu |
| 2014 | DSAA | A detecting community method in complex networks with fuzzy clustering. | Xiaofeng Wang, Gongshen Liu, Jianhua Li |
| 2008 | ICASSP | A cross-language state mapping approach to bilingual (Mandarin-English) TTS. | Hui Liang, Yao Qian, Frank K. Soong, Gongshen Liu |