BDC-Adapter: Brownian Distance Covariance for Better Vision-Language Reasoning. - Yi Zhang 109; Ce Zhang 009; Zihan Liao; Yushun Tang; Zhihai He (BMVC, 2023)

Self-Correctable and Adaptable Inference for Generalizable Human Pose Estimation. - Zhehan Kan; Shuoshuo Chen; Ce Zhang 009; Yushun Tang; Zhihai He (CVPR, 2023)

Neuro-Modulated Hebbian Learning for Fully Test-Time Adaptation. - Yushun Tang; Ce Zhang 009; Heng Xu; Shuoshuo Chen; Jie Cheng; Luziwei Leng; Qinghai Guo; Zhihai He (CVPR, 2023)

Unsupervised Prototype Adapter for Vision-Language Models. - Yi Zhang 109; Ce Zhang 009; Xueting Hu; Zhihai He (PRCV (1), 2023)

Concept-Guided Prompt Learning for Generalization in Vision-Language Models. - Yi Zhang 109; Ce Zhang 009; Ke Yu; Yushun Tang; Zhihai He (AAAI, 2024)

HiKER-SGG: Hierarchical Knowledge Enhanced Robust Scene Graph Generation. - Ce Zhang 009; Simon Stepputtis; Joseph Campbell; Katia P. Sycara; Yaqi Xie 001 (CVPR, 2024)

Test-Time Distribution Learning Adapter for Cross-Modal Visual Reasoning. - Yi Zhang 109; Ce Zhang 009 (ICASSP, 2024)

Dual Prototype Evolving for Test-Time Generalization of Vision-Language Models. - Ce Zhang 009; Simon Stepputtis; Katia P. Sycara; Yaqi Xie 001 (NeurIPS, 2024)

Learning to Adapt CLIP for Few-Shot Monocular Depth Estimation. - Xueting Hu; Ce Zhang 009; Yi Zhang 109; Bowen Hai; Ke Yu; Zhihai He (WACV, 2024)

Negative Yields Positive: Unified Dual-Path Adapter for Vision-Language Models. - Ce Zhang 009; Simon Stepputtis; Katia P. Sycara; Yaqi Xie 001 (CoRR, 2024)

CATCH: Complementary Adaptive Token-level Contrastive Decoding to Mitigate Hallucinations in LVLMs. - Zhehan Kan; Ce Zhang 009; Zihan Liao; Yapeng Tian; Wenming Yang; Junyuan Xiao; Xu Li; Dongmei Jiang; Yaowei Wang 001; Qingmin Liao (CoRR, 2024)

Cross-Modal Concept Learning and Inference for Vision-Language Models. - Yi Zhang 109; Ce Zhang 009; Yushun Tang; Zhihai He (Neurocomputing, 2024)

Critical Sampling for Robust Evolution Operator Learning of Unknown Dynamical Systems. - Ce Zhang 009; Kailiang Wu; Zhihai He (IEEE Trans. Artif. Intell., 2024)

InstructPart: Task-Oriented Part Segmentation with Instruction Reasoning. - Zifu Wan; Yaqi Xie 001; Ce Zhang 009; Zhiqiu Lin; Zihan Wang; Simon Stepputtis; Deva Ramanan; Katia P. Sycara (ACL (1), 2025)

Self-Correcting Decoding with Generative Feedback for Mitigating Hallucinations in Large Vision-Language Models. - Ce Zhang 009; Zifu Wan; Zhehan Kan; Martin Q. Ma; Simon Stepputtis; Deva Ramanan; Russ Salakhutdinov; Louis-Philippe Morency; Katia P. Sycara; Yaqi Xie 001 (ICLR, 2025)

Enhancing Vision-Language Few-Shot Adaptation with Negative Learning. - Ce Zhang 009; Simon Stepputtis; Katia P. Sycara; Yaqi Xie 001 (WACV, 2025)

Spectral-Aware Global Fusion for RGB-Thermal Semantic Segmentation. - Ce Zhang 009; Zifu Wan; Simon Stepputtis; Katia P. Sycara; Yaqi Xie 001 (CoRR, 2025)

VScan: Rethinking Visual Token Reduction for Efficient Large Vision-Language Models. - Ce Zhang 009; Kaixin Ma; Tianqing Fang; Wenhao Yu 002; Hongming Zhang 009; Zhisong Zhang; Yaqi Xie 001; Katia P. Sycara; Haitao Mi; Dong Yu 001 (CoRR, 2025)

ONLY: One-Layer Intervention Sufficiently Mitigates Hallucinations in Large Vision-Language Models. - Zifu Wan; Ce Zhang 009; Silong Yong; Martin Q. Ma; Simon Stepputtis; Louis-Philippe Morency; Deva Ramanan; Katia P. Sycara; Yaqi Xie 001 (CoRR, 2025)

Cognitive Kernel-Pro: A Framework for Deep Research Agents and Agent Foundation Models Training. - Tianqing Fang; Zhisong Zhang; Xiaoyang Wang; Rui Wang 015; Can Qin; Yuxuan Wan; Jun-Yu Ma; Ce Zhang 009; Jiaqi Chen; Xiyun Li; Hongming Zhang 009; Haitao Mi; et al. (CoRR, 2025)