Achieving Low Carbon Emission for Dynamically Charging Electric Vehicles Through Renewable Energy Integration. - Xiaolin Mou; Yingji Zhang; Jing Jiang 004; Hongjian Sun (IEEE Access, 2019)

Driver Hand Detection Using Squeeze-and-Excitation YOLOv4 Network. - Zhe Ma; Xiaohui Yang; Yingji Zhang (BDSIC, 2020)

Driver's Gaze Zone Estimation Method: A Four-channel Convolutional Neural Network Model. - Yingji Zhang; Xiaohui Yang; Zhe Ma (BDSIC, 2020)

The University of Sheffield at CheckThat! 2020: Claim Identification and Verification on Twitter. - Thomas M. McDonald 001; Ziqing Dong; Yingji Zhang; Rebekah Hampson; James Young; Qianyu Cao; Jochen L. Leidner; Mark Stevenson (CLEF (Working Notes), 2020)

Eye Tracking in Driving Environment Based on Multichannel Convolutional Neural Network. - Xiaolei Cha; Xiaohui Yang; Yingji Zhang; Zhiquan Feng; Tao Xu; Xue Fan (ICDSP, 2020)

Quasi-symbolic explanatory NLI via disentanglement: A geometrical examination. - Yingji Zhang; Danilo S. Carvalho; Ian Pratt-Hartmann; André Freitas (CoRR, 2022)

Learning Disentangled Representations for Natural Language Definitions. - Danilo Silva de Carvalho; Giangiacomo Mercatali; Yingji Zhang; André Freitas (EACL (Findings), 2023)

Learning Disentangled Semantic Spaces of Explanations via Invertible Neural Networks. - Yingji Zhang; Danilo S. Carvalho; Ian Pratt-Hartmann; André Freitas (CoRR, 2023)

Towards Controllable Natural Language Inference through Lexical Inference Types. - Yingji Zhang; Danilo S. Carvalho; Ian Pratt-Hartmann; André Freitas (CoRR, 2023)

LlaMaVAE: Guiding Large Language Model Generation via Continuous Latent Sentence Spaces. - Yingji Zhang; Danilo S. Carvalho; Ian Pratt-Hartmann; André Freitas (CoRR, 2023)

A New Type of Classical Logic Circuit with Exponential Speedup. - Yingji Zhang; Tian Chen; Xiaoxue Tong; Naiqiao Pan; Xiangdong Zhang (Adv. Intell. Syst., 2023)

Learning Disentangled Semantic Spaces of Explanations via Invertible Neural Networks. - Yingji Zhang; Danilo S. Carvalho; André Freitas (ACL (1), 2024)

Improving Semantic Control in Discrete Latent Spaces with Transformer Quantized Variational Autoencoders. - Yingji Zhang; Danilo S. Carvalho; Marco Valentino; Ian Pratt-Hartmann; André Freitas (EACL (Findings), 2024)

Graph-Induced Syntactic-Semantic Spaces in Transformer-Based Variational AutoEncoders. - Yingji Zhang; Marco Valentino; Danilo S. Carvalho; Ian Pratt-Hartmann; André Freitas (NAACL-HLT (Findings), 2024)

Does Table Source Matter? Benchmarking and Improving Multimodal Scientific Table Understanding and Reasoning. - Bohao Yang; Yingji Zhang; Dong Liu; André Freitas; Chenghua Lin (CoRR, 2025)

Nexus-O: An Omni-Perceptive And -Interactive Model for Language, Audio, And Vision. - Che Liu; Yingji Zhang; Dong Zhang; Weijie Zhang; Chenggong Gong; Haohan Li; Yu Lu; Shilin Zhou 002; Yue Lu; Ziliang Gan; Ziao Wang; Junwei Liao; et al. (CoRR, 2025)

LangVAE and LangSpace: Building and Probing for Language Model VAEs. - Danilo S. Carvalho; Yingji Zhang; Harriet Unsworth; André Freitas (CoRR, 2025)

Learning to Disentangle Latent Reasoning Rules with Language VAEs: A Systematic Study. - Yingji Zhang; Marco Valentino; Danilo S. Carvalho; André Freitas (CoRR, 2025)

Bridging Compositional and Distributional Semantics: A Survey on Latent Semantic Geometry via AutoEncoder. - Yingji Zhang; Danilo S. Carvalho; André Freitas (CoRR, 2025)

Web-CogReasoner: Towards Knowledge-Induced Cognitive Reasoning for Web Agents. - Yuhan Guo; Cong Guo; Aiwen Sun; Hongliang He; Xinyu Yang; Yue Lu; Yingji Zhang; Xuntao Guo; Dong Zhang; Jianzhuang Liu; Jiang Duan; Yijia Xiao; et al. (CoRR, 2025)