| 2026 | AAAI | Less Is More: Sparse and Cooperative Perturbation for Point Cloud Attacks. | Keke Tang, Tianyu Hao, Xiaofei Wang, Weilong Peng, Denghui Zhang, Peican Zhu, Zhihong Tian |
| 2026 | ACL | Accelerating LLM Fine-Tuning via Embedding Knowledge Transfer. | Meishu Peng, Ziyue Zhang, Yi Zhang, Pengyang Wang, Zixuan Yuan, Denghui Zhang |
| 2026 | ACL | Steganography Beyond Pixels: Reimagining Image Steganography as Cross-Modal Linguistic Communication. | Lijing Ren, Denghui Zhang |
| 2026 | ACL | Copyright Detective: A Forensic System to Evidence LLMs Flickering Copyright Leakage Risks. | Guangwei Zhang, Jianing Zhu, Cheng Qian, Neil Zhenqiang Gong, Rada Mihalcea, Zhaozhuo Xu, Jingrui He, Jiaqi W. Ma, Chaowei Xiao, Bo Li, Ahmed Abbasi, Dongwon Lee, Heng Ji, Denghui Zhang |
| 2026 | WWW | DiSCoQR: Diffusion-Driven Semantic Compression for Robust Image Steganography in Standard QR Codes. | Lijing Ren, Denghui Zhang |
| 2025 | ACL | EscapeBench: Towards Advancing Creative Intelligence of Language Model Agents. | Cheng Qian, Peixuan Han, Qinyu Luo, Bingxiang He, Xiusi Chen, Yuji Zhang, Hongyi Du, Jiarui Yao, Xiaocheng Yang, Denghui Zhang, Yunzhu Li, Heng Ji |
| 2025 | ACL | Beyond Reactive Safety: Risk-Aware LLM Alignment via Long-Horizon Simulation. | Chenkai Sun, Denghui Zhang, ChengXiang Zhai, Heng Ji |
| 2025 | EMNLP | SafeSwitch: Steering Unsafe LLM Behavior via Internal Activation Signals. | Peixuan Han, Cheng Qian, Xiusi Chen, Yuji Zhang, Heng Ji, Denghui Zhang |
| 2025 | EMNLP | Profiling LLM's Copyright Infringement Risks under Adversarial Persuasive Prompting. | Jikai Long, Ming Liu, Xiusi Chen, Jialiang Xu, Shenglan Li, Zhaozhuo Xu, Denghui Zhang |
| 2025 | EMNLP | Rescorla-Wagner Steering of LLMs for Undesired Behaviors over Disproportionate Inappropriate Context. | Rushi Wang, Jiateng Liu, Cheng Qian, Yifan Shen, Yanzhou Pan, Zhaozhuo Xu, Ahmed Abbasi, Heng Ji, Denghui Zhang |
| 2025 | EMNLP | DEL-ToM: Inference-Time Scaling for Theory-of-Mind Reasoning via Dynamic Epistemic Logic. | Yuheng Wu, Jianwen Xie, Denghui Zhang, Zhaozhuo Xu |
| 2025 | EMNLP | ISACL: Internal State Analyzer for Copyrighted Training Data Leakage. | Guangwei Zhang, Qisheng Su, Jiateng Liu, Cheng Qian, Yanzhou Pan, Yanjie Fu, Denghui Zhang |
| 2025 | ICASSP | MLSDET: Multi-LLM Statistical Deep Ensemble for Chinese AI-Generated Text Detection. | Dianhui Mao, Denghui Zhang, Ao Zhang, Zhihua Zhao |
| 2025 | ICML | Position: Iterative Online-Offline Joint Optimization is Needed to Manage Complex LLM Copyright Risks. | Yanzhou Pan, Jiayi Chen, Jiamin Chen, Zhaozhuo Xu, Denghui Zhang |
| 2025 | NAACL | ALinFiK: Learning to Approximate Linearized Future Influence Kernel for Scalable Third-Parity LLM Data Valuation. | Yanzhou Pan, Huawei Lin, Yide Ran, Jiamin Chen, Xiaodong Yu, Weijie Zhao, Denghui Zhang, Zhaozhuo Xu |
| 2024 | AAAI | Self-Paced Unified Representation Learning for Hierarchical Multi-Label Classification. | Zixuan Yuan, Hao Liu, Haoyi Zhou, Denghui Zhang, Xiao Zhang, Hao Wang, Hui Xiong |
| 2024 | ADMA | FreqAT: An Adversarial Training Based on Adaptive Frequency-Domain Transform. | Denghui Zhang, Yanming Liang, Qiangbo Huang, Xvxin Huang, Peixin Liao, Ming Yang, Liyi Zeng |
| 2024 | EMNLP | Do LLMs Know to Respect Copyright Notice? | Jialiang Xu, Shenglan Li, Zhaozhuo Xu, Denghui Zhang |
| 2024 | IJCAI | Make Graph Neural Networks Great Again: A Generic Integration Paradigm of Topology-Free Patterns for Traffic Speed Prediction. | Yicheng Zhou, Pengfei Wang, Hao Dong, Denghui Zhang, Dingqi Yang, Yanjie Fu, Pengyang Wang |
| 2023 | AAAI | Human-Instructed Deep Hierarchical Generative Learning for Automated Urban Planning. | Dongjie Wang, Lingfei Wu, Denghui Zhang, Jingbo Zhou, Leilei Sun, Yanjie Fu |
| 2023 | ICIS | Graph Learning of Multifaceted Motivations for Online Engagement Prediction in Counter-party Social Networks. | Manting Hu, Qingyuan Lin, Denghui Zhang, Angela Lu, Junming Liu, Hui Xiong |
| 2022 | AAAI | Learning to Walk with Dual Agents for Knowledge Graph Reasoning. | Denghui Zhang, Zixuan Yuan, Hao Liu, Xiaodong Lin, Hui Xiong |
| 2022 | KDD | Towards Learning Disentangled Representations for Time Series. | Yuening Li, Zhengzhang Chen, Daochen Zha, Mengnan Du, Jingchao Ni, Denghui Zhang, Haifeng Chen, Xia Hu |
| 2021 | AAAI | Self-Supervised Prototype Representation Learning for Event-Based Corporate Profiling. | Zixuan Yuan, Hao Liu, Renjun Hu, Denghui Zhang, Hui Xiong |
| 2021 | KDD | Domain-oriented Language Modeling with Adaptive Hybrid Masking and Optimal Transport Alignment. | Denghui Zhang, Zixuan Yuan, Yanchi Liu, Hao Liu, Fuzhen Zhuang, Hui Xiong, Haifeng Chen |
| 2020 | ICDM | T | Denghui Zhang, Yanchi Liu, Wei Cheng, Bo Zong, Jingchao Ni, Zhengzhang Chen, Haifeng Chen, Hui Xiong |
| 2020 | SIGIR | Spatio-Temporal Dual Graph Attention Network for Query-POI Matching. | Zixuan Yuan, Hao Liu, Yanchi Liu, Denghui Zhang, Fei Yi, Nengjun Zhu, Hui Xiong |
| 2019 | APSEC | SGXPy: Protecting Integrity of Python Applications with Intel SGX. | Denghui Zhang, Guisai Wang, Wei Xu, Kevin Gao |
| 2019 | CIKM | Job2Vec: Job Title Benchmarking with Collective Multi-View Representation Learning. | Denghui Zhang, Junming Liu, Hengshu Zhu, Yanchi Liu, Lichen Wang, Pengyang Wang, Hui Xiong |
| 2018 | AAAI | Path-Based Attention Neural Model for Fine-Grained Entity Typing. | Denghui Zhang, Manling Li, Pengshan Cai, Yantao Jia, Yuanzhuo Wang |
| 2006 | IGARSS | Implementation of a Data Node in China's Spatial Information Grid Based on NWGISS. | Dengrong Zhang, Le Yu, Denghui Zhang, Liping Di |