Parallel saturating multioperand adders. - Michael J. Schulte; Pablo I. Balzola; Jie Ruan; C. John Glossner (CASES, 2000)

Design Alternatives for Parallel Saturating Multioperand Adders. - Pablo I. Balzola; Michael J. Schulte; Jie Ruan; C. John Glossner; Erdem Hokenek (ICCD, 2001)

Combined LNS Adder/Subtractors for DCT Hardware. - Jie Ruan; Mark G. Arnold (ESTIMedia, 2003)

Threshold Mean Larger Ratio Motion Estimation in MPEG Encoding Using LNS. - Jie Ruan; Mark G. Arnold (PATMOS, 2004)

Embedding Push and Pull Search in the Framework of Differential Evolution for Solving Constrained Single-objective Optimization Problems. - Zhun Fan; Wenji Li; Zhaojun Wang; Yutong Yuan; Fuzan Sun; Zhi Yang 007; Jie Ruan; Zhaocheng Li; Erik D. Goodman (CoRR, 2018)

A Vector Control Strategy for a Multi-Port Bidirectional DC/AC Converter With Emphasis on Power Distribution Between DC Sources. - Chang Liu; Chenhang Xu; Jie Ruan; Lin Jin; Licheng Bao; Yan Deng (IECON, 2019)

Constructing Higher Nonlinear Odd-Variable RSBFs With Optimal AI and Almost Optimal FAI. - Yindong Chen; Limin Lin; Lumin Liao; Jie Ruan; Fei Guo 007; Weihong Cai (IEEE Access, 2019)

Push and Pull Search Embedded in an M2M Framework for Solving Constrained Multi-objective Optimization Problems. - Zhun Fan; Zhaojun Wang; Wenji Li; Yutong Yuan; Yugen You; Zhi Yang 007; Fuzan Sun; Jie Ruan; Zhaocheng Li (CoRR, 2019)

Constructing odd-variable RSBFs with optimal algebraic immunity, good nonlinearity and good behavior against fast algebraic attacks. - Yindong Chen; Fei Guo 007; Jie Ruan (Discret. Appl. Math., 2019)

Low-Complexity Rate-Distortion Optimization of Sampling Rate and Bit-Depth for Compressed Sensing of Images. - Qunlin Chen; Derong Chen; Jiulu Gong; Jie Ruan (Entropy, 2020)

Push and pull search embedded in an M2M framework for solving constrained multi-objective optimization problems. - Zhun Fan; Zhaojun Wang; Wenji Li; Yutong Yuan; Yugen You; Zhi Yang 007; Fuzan Sun; Jie Ruan (Swarm Evol. Comput., 2020)

An Interleaved Three-Phase PWM Single-Stage Resonant Rectifier With High-Frequency Isolation. - Guangdi Li; Jie Ruan; Kun Wang 014; Yan Deng; Xiangning He; Yousheng Wang (IEEE Trans. Ind. Electron., 2020)

How to Describe Images in a More Funny Way? Towards a Modular Approach to Cross-Modal Sarcasm Generation. - Jie Ruan; Yue Wu; Xiaojun Wan 001; Yuesheng Zhu (CoRR, 2022)

Constructing even-variable RSBFs with higher nonlinearity, optimal AI and almost optimal FAI. - Yindong Chen; Jie Ruan; Xuxi He (J. Appl. Math. Comput., 2022)

Style Expansion Without Forgetting for Handwritten Character Recognition. - Jie Ruan; Zhenyu Weng; Jian Zhang; Yuqing Wang; Longhui Yu; Qiankun Gao; Yuesheng Zhu (ICANN (3), 2023)

Human-like Summarization Evaluation with ChatGPT. - Mingqi Gao 002; Jie Ruan; Renliang Sun; Xunjian Yin; Shiping Yang; Xiaojun Wan 001 (CoRR, 2023)

Parallel Log Spectra index (PaLOSi): a quality metric in large scale resting EEG preprocessing. - Shiang Hu; Jie Ruan; Nicolas Langer; Jorge Bosch-Bayard; Zhao Lv; Dezhong Yao 001; Pedro Antonio Valdés-Sosa (CoRR, 2023)

How do the resting EEG preprocessing states affect the outcomes of postprocessing? - Shiang Hu; Jie Ruan; Juan Hou; Pedro Antonio Valdés-Sosa; Zhao Lv (CoRR, 2023)

Better than Random: Reliable NLG Human Evaluation with Constrained Active Sampling. - Jie Ruan; Xiao Pu 003; Mingqi Gao 002; Xiaojun Wan 001; Yuesheng Zhu (AAAI, 2024)

Benchmarking Knowledge Boundary for Large Language Models: A Different Perspective on Model Evaluation. - Xunjian Yin; Xu Zhang; Jie Ruan; Xiaojun Wan 001 (ACL (1), 2024)

Defining and Detecting Vulnerability in Human Evaluation Guidelines: A Preliminary Study Towards Reliable NLG Evaluation. - Jie Ruan; Wenqing Wang; Xiaojun Wan 001 (NAACL-HLT, 2024)

Describe Images in a Boring Way: Towards Cross-Modal Sarcasm Generation. - Jie Ruan; Yue Wu; Xiaojun Wan 001; Yuesheng Zhu (WACV, 2024)

LLM-based NLG Evaluation: Current Status and Challenges. - Mingqi Gao 002; Xinyu Hu 001; Jie Ruan; Xiao Pu 003; Xiaojun Wan 001 (CoRR, 2024)

Benchmarking Knowledge Boundary for Large Language Model: A Different Perspective on Model Evaluation. - Xunjian Yin; Xu Zhang; Jie Ruan; Xiaojun Wan 001 (CoRR, 2024)

On finite 2-distance-primitive graphs. - Jie Ruan; Weijun Liu; Wei Jin (Discret. Math., 2024)

How do the resting EEG preprocessing states affect the outcomes of postprocessing? - Shiang Hu; Jie Ruan; Pedro Antonio Valdés-Sosa; Zhao Lv (NeuroImage, 2025)

Exploring the distribution of connectivity weights in resting-state EEG networks. - Shiang Hu; Xiao Gong; Xiaolong Huang; Jie Ruan; Pedro Antonio Valdés-Sosa (CoRR, 2025)

ExpertLongBench: Benchmarking Language Models on Expert-Level Long-Form Generation Tasks with Structured Checklists. - Jie Ruan; Inderjeet Nair; Shuyang Cao; Amy Liu; Sheza Munir; Micah Pollens-Dempsey; Tiffany Chiang; Lucy Kates; Nicholas David; Sihan Chen; Ruxin Yang; Yuqian Yang; et al. (CoRR, 2025)