A research on evaluation of written productive vocabulary based on Sugeno measure. - Tian Dong; Wei-Xuan Shi; Yao-Hua Huang (ICMLC, 2010)

A bivariate preprocessing paradigm for the Buchberger-Möller algorithm. - Xiaoying Wang; Shugong Zhang; Tian Dong (J. Comput. Appl. Math., 2010)

On the existence of certain error formulas for a special class of ideal projectors. - Zhe Li; Shugong Zhang; Tian Dong (J. Approx. Theory, 2011)

Photocatalytic digestion of total phosphorus in the presence of H2O2 utilizing nano-TiO2 photocatalyst. - Tian Dong; Jianhua Tong; Chao Bian 001; Jizhou Sun; Shanhong Xia (NEMS, 2013)

A two-dimensional improvement for Farr-Gao algorithm. - Tian Dong (J. Syst. Sci. Complex., 2016)

Error Formulas for Lagrange Projectors Determined by Cartesian Sets. - Zhe Li; Shugong Zhang; Tian Dong; Yihe Gong (J. Syst. Sci. Complex., 2018)

Towards Generation and Evaluation of Comprehensive Mapping Robot Datasets. - Hongyu Chen; Xiting Zhao; Jianwen Luo 004; Zhijie Yang; Zehao Zhao; Haochuan Wan; Xiaoya Ye; Guangyuan Weng; Zhenpeng He; Tian Dong; Sören Schwertfeger (CoRR, 2019)

Adaptive Quaternion Tracking with Nonlinear Disturbance Rejection. - Changmao Qin; Tian Dong; Juan Liu; Weizhe Li (ICMLC, 2020)

Hidden Backdoors in Human-Centric Language Models. - Shaofeng Li 001; Hui Liu; Tian Dong; Benjamin Zi Hao Zhao; Minhui Xue 001; Haojin Zhu; Jialiang Lu (CCS, 2021)

Towards Fast Network Intrusion Detection based on Efficiency-preserving Federated Learning. - Tian Dong; Han Qiu 001; Jialiang Lu; Meikang Qiu; Chun Fan 001 (ISPA/BDCloud/SocialCom/SustainCom, 2021)

A Hybrid Short-Term Load Forecasting Model Based on Improved Fuzzy C-Means Clustering, Random Forest and Deep Neural Networks. - Fu Liu 001; Tian Dong; Tao Hou; Yun Liu 003 (IEEE Access, 2021)

Fingerprinting Multi-exit Deep Neural Network Models via Inference Time. - Tian Dong; Han Qiu 001; Tianwei Zhang 004; Jiwei Li 001; Hewu Li; Jialiang Lu (CoRR, 2021)

Exposing Weaknesses of Malware Detectors with Explainability-Guided Evasion Attacks. - Wei Wang 334; Ruoxi Sun 001; Tian Dong; Shaofeng Li 001; Minhui Xue 001; Gareth Tyson; Haojin Zhu (CoRR, 2021)

Adversarial Attacks Against Network Intrusion Detection in IoT Systems. - Han Qiu 001; Tian Dong; Tianwei Zhang 004; Jialiang Lu; Gérard Memmi; Meikang Qiu (IEEE Internet Things J., 2021)

Privacy for Free: How does Dataset Condensation Help Privacy? - Tian Dong; Bo Zhao; Lingjuan Lyu (ICML, 2022)

An Interpretable Federated Learning-based Network Intrusion Detection Framework. - Tian Dong; Song Li; Han Qiu 001; Jialiang Lu (CoRR, 2022)

Backdoors Against Natural Language Processing: A Review. - Shaofeng Li 001; Tian Dong; Benjamin Zi Hao Zhao; Minhui Xue 001; Suguo Du; Haojin Zhu (IEEE Secur. Priv., 2022)

A 3.5MHz-BW 128nTrms Resolution TMR Readout Using Ping-Pong Auto-Zeroing and SAR-Assisted Offset Calibration for Contactless Current Sensing. - Tian Dong; Tianxiang Qu; Wenhui Qin; Yaohua Pan; Yun Sheng; Zhiliang Hong; Jiawei Xu 001 (ESSCIRC, 2023)

Privacy Computing with Right to Be Forgotten in Trusted Execution Environment. - Hui Liu; Hongzhi Luo; Shaofeng Li 001; Tian Dong; Guoxing Chen; Yan Meng 001; Haojin Zhu (GLOBECOM, 2023)

Mind Your Heart: Stealthy Backdoor Attack on Dynamic Deep Neural Network in Edge Computing. - Tian Dong; Ziyuan Zhang; Han Qiu 001; Tianwei Zhang 004; Hewu Li; Terry Wang (INFOCOM, 2023)

RAI2: Responsible Identity Audit Governing the Artificial Intelligence. - Tian Dong; Shaofeng Li 001; Guoxing Chen; Minhui Xue 001; Haojin Zhu; Zhen Liu 008 (NDSS, 2023)

Mate! Are You Really Aware? An Explainability-Guided Testing Framework for Robustness of Malware Detectors. - Ruoxi Sun 001; Minhui Xue 001; Gareth Tyson; Tian Dong; Shaofeng Li 001; Shuo Wang 012; Haojin Zhu; Seyit Camtepe; Surya Nepal (ESEC/SIGSOFT FSE, 2023)

Unleashing Cheapfakes through Trojan Plugins of Large Language Models. - Tian Dong; Guoxing Chen; Shaofeng Li 001; Minhui Xue 001; Rayne Holland; Yan Meng 001; Zhen Liu 008; Haojin Zhu (CoRR, 2023)

Virsearcher: Identifying Bacteriophages from Metagenomes by Combining Convolutional Neural Network and Gene Information. - Qiaoliang Liu; Fu Liu 001; Yan Miao; Jiaxue He; Tian Dong; Tao Hou; Yun Liu 003 (IEEE ACM Trans. Comput. Biol. Bioinform., 2023)

On the linearization methods for univariate Birkhoff rational interpolation. - Peng Xia 002; Na Lei; Tian Dong (Appl. Math. Comput., 2023)

An Explainability-Guided Testing Framework for Robustness of Malware Detectors. - Ruoxi Sun 001; Minhui Xue 001; Gareth Tyson; Tian Dong; Shaofeng Li 001; Shuo Wang 012; Haojin Zhu; Seyit Camtepe; Surya Nepal (Zenodo, 2023)

An Explainability-Guided Testing Framework for Robustness of Malware Detectors. - Ruoxi Sun 001; Minhui Xue 001; Gareth Tyson; Tian Dong; Shaofeng Li 001; Shuo Wang 012; Haojin Zhu; Seyit Camtepe; Surya Nepal (Zenodo, 2023)

A 1kHz-to-62MHz 2.06zFrms Resolution Lock-in Amplifier with SAR-assisted Parasitic and Baseline Capacitance Compensation. - Minge Jiang; Shen Ye; Tianxiang Qu; Tian Dong; Qinjing Pan; Zhiliang Hong; Jiawei Xu 001 (A-SSCC, 2024)

A 103.6dB-SNDR 760mVPP-Input-Range 7.8GΩ-Input-Impedance Direct-Digitization Sensor Readout with Pseudo-Differential Transconductors and Dummy DAC. - Jianhong Zhou; Yijie Li; Kaiwen Zhou; Yuying Li; Tian Dong; Zhiliang Hong; Jiawei Xu 001 (CICC, 2024)

Detection and Attribution of Diffusion Model of Character Animation Based on Spatio-Temporal Attention. - Fazhong Liu; Yan Meng 001; Tian Dong; Guoxing Chen; Haojin Zhu (LAMPS@CCS, 2024)

Inferring Activities and Profiles of Users Based on Trajectory Leakage in Mobile Ad Network. - Zhiyong Liu; Le Yu; Tian Dong; Yan Meng 001; Shaofeng Li 001; Guoxing Chen; Haojin Zhu (MSN, 2024)

Learn What You Want to Unlearn: Unlearning Inversion Attacks against Machine Unlearning. - Hongsheng Hu; Shuo Wang 012; Tian Dong; Minhui Xue 001 (SP, 2024)

DevDet: Detecting IoT Device Impersonation Attacks via Traffic Based Identification. - Hongliang Yong; Le Yu; Tian Dong; Yan Meng 001; Guoxing Chen; Haojin Zhu (WASA (2), 2024)

Leveraging automated deep learning (AutoDL) in geosciences. - Nandito Davy; Umair bin Waheed; Ardiansyah Koeshidayatullah; Ammar El-Husseiny; Korhan Ayranci; Nicholas B. Harris; Tian Dong (Comput. Geosci., 2024)

The Philosopher's Stone: Trojaning Plugins of Large Language Models. - Tian Dong; Minhui Xue 001; Guoxing Chen; Rayne Holland; Yan Meng 001; Shaofeng Li 001; Zhen Liu 008; Haojin Zhu (NDSS, 2025)

Synergistic Multi-Modal Keystroke Eavesdropping in Virtual Reality With Vision and Wi-Fi. - Jiachun Li 001; Yan Meng 001; Fazhong Liu; Tian Dong; Suguo Du; Guoxing Chen; Yuling Chen; Haojin Zhu (IEEE Trans. Inf. Forensics Secur., 2025)

Model Inversion in Split Learning for Personalized LLMs: New Insights from Information Bottleneck Theory. - Yunmeng Shu; Shaofeng Li 001; Tian Dong; Yan Meng 001; Haojin Zhu (CoRR, 2025)

Step-wise Adaptive Integration of Supervised Fine-tuning and Reinforcement Learning for Task-Specific LLMs. - Jack Chen; Fazhong Liu; Naruto Liu; Yuhan Luo; Erqu Qin; Harry Zheng; Tian Dong; Haojin Zhu; Yan Meng 001; Xiao Wang (CoRR, 2025)

A 2 MHz Bandwidth TMR-Based Contactless Current Sensor With Ping-Pong Auto-Zeroing and SAR-Assisted Offset Calibration. - Tianxiang Qu; Tian Dong; Wenhui Qin; Yaohua Pan; Yun Sheng; Zhiliang Hong; Xiaoyang Zeng; Jiawei Xu 001 (IEEE J. Solid State Circuits, 2025)

Depth Gives a False Sense of Privacy: LLM Internal States Inversion. - Tian Dong; Yan Meng 001; Shaofeng Li 001; Guoxing Chen; Zhen Liu 008; Haojin Zhu (CoRR, 2025)