Ce Zhang

According to our database, Ce Zhang authored at least 25 papers between 2023 and 2026.

Collaborative distances:

• Dijkstra number of three.
• Erdős number of four.

2026

Evolving Contextual Safety in Multi-Modal Large Language Models via Inference-Time Self-Reflective Memory.

Ce Zhang, Jinxi He, Junyi He, Katia Sycara, Yaqi Xie

CoRR, March, 2026

pySpatial: Generating 3D Visual Programs for Zero-Shot Spatial Reasoning.

Zhanpeng Luo, Ce Zhang, Silong Yong, Cunxi Dai, Qianwei Wang, Haoxi Ran, Guanya Shi, Katia Sycara, Yaqi Xie

CoRR, March, 2026

VScan: Rethinking Visual Token Reduction for Efficient Large Vision-Language Models.

Ce Zhang, Kaixin Ma, Tianqing Fang, Wenhao Yu, Hongming Zhang, Zhisong Zhang, Haitao Mi, Dong Yu

Trans. Mach. Learn. Res., 2026

WebAggregator: Enhancing Compositional Reasoning Capabilities of Deep Research Agent Foundation Models.

Rui Wang, Ce Zhang, Jun-Yu Ma, Jianshu Zhang, Hongru Wang, Yi Chen, Boyang Xue, Tianqing Fang, Zhisong Zhang, Hongming Zhang, Haitao Mi, Dong Yu, Kam-Fai Wong

Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2026

2025

Explore to Evolve: Scaling Evolved Aggregation Logic via Proactive Online Exploration for Deep Research Agents.

Rui Wang, Ce Zhang, Jun-Yu Ma, Jianshu Zhang, Hongru Wang, Yi Chen, Boyang Xue, Tianqing Fang, Zhisong Zhang, Hongming Zhang, Haitao Mi, Dong Yu, Kam-Fai Wong

CoRR, October, 2025

Cognitive Kernel-Pro: A Framework for Deep Research Agents and Agent Foundation Models Training.

Tianqing Fang, Zhisong Zhang, Xiaoyang Wang, Rui Wang, Can Qin, Yuxuan Wan, Jun-Yu Ma, Ce Zhang, Jiaqi Chen, Xiyun Li, Hongming Zhang, Haitao Mi, Dong Yu

CoRR, August, 2025

VScan: Rethinking Visual Token Reduction for Efficient Large Vision-Language Models.

Ce Zhang, Kaixin Ma, Tianqing Fang, Wenhao Yu, Hongming Zhang, Zhisong Zhang, Yaqi Xie, Katia P. Sycara, Haitao Mi, Dong Yu

CoRR, May, 2025

Spectral-Aware Global Fusion for RGB-Thermal Semantic Segmentation.

Ce Zhang, Zifu Wan, Simon Stepputtis, Katia P. Sycara, Yaqi Xie

CoRR, May, 2025

Enhancing Vision-Language Few-Shot Adaptation with Negative Learning.

Ce Zhang, Simon Stepputtis, Katia P. Sycara, Yaqi Xie

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2025

Self-Correcting Decoding with Generative Feedback for Mitigating Hallucinations in Large Vision-Language Models.

Ce Zhang, Zifu Wan, Zhehan Kan, Martin Q. Ma, Simon Stepputtis, Deva Ramanan, Russ Salakhutdinov, Louis-Philippe Morency, Katia P. Sycara, Yaqi Xie

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

ONLY: One-Layer Intervention Sufficiently Mitigates Hallucinations in Large Vision-Language Models.

Zifu Wan, Ce Zhang, Silong Yong, Martin Q. Ma, Simon Stepputtis, Louis-Philippe Morency, Deva Ramanan, Katia Sycara, Yaqi Xie

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2025

InstructPart: Task-Oriented Part Segmentation with Instruction Reasoning.

Zifu Wan, Yaqi Xie, Ce Zhang, Zhiqiu Lin, Zihan Wang, Simon Stepputtis, Deva Ramanan, Katia P. Sycara

Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

2024

Critical Sampling for Robust Evolution Operator Learning of Unknown Dynamical Systems.

Ce Zhang, Kailiang Wu, Zhihai He

IEEE Trans. Artif. Intell., June, 2024

Cross-Modal Concept Learning and Inference for Vision-Language Models.

Yi Zhang, Ce Zhang, Yushun Tang, Zhihai He

Neurocomputing, 2024

CATCH: Complementary Adaptive Token-level Contrastive Decoding to Mitigate Hallucinations in LVLMs.

Zhehan Kan, Ce Zhang, Zihan Liao, Yapeng Tian, Wenming Yang, Junyuan Xiao, Xu Li, Dongmei Jiang, Yaowei Wang, Qingmin Liao

CoRR, 2024

Negative Yields Positive: Unified Dual-Path Adapter for Vision-Language Models.

Ce Zhang, Simon Stepputtis, Katia P. Sycara, Yaqi Xie

CoRR, 2024

Learning to Adapt CLIP for Few-Shot Monocular Depth Estimation.

Xueting Hu, Ce Zhang, Yi Zhang, Bowen Hai, Ke Yu, Zhihai He

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024

Dual Prototype Evolving for Test-Time Generalization of Vision-Language Models.

Ce Zhang, Simon Stepputtis, Katia P. Sycara, Yaqi Xie

Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

Test-Time Distribution Learning Adapter for Cross-Modal Visual Reasoning.

Yi Zhang, Ce Zhang

Proceedings of the IEEE International Conference on Acoustics, 2024

HiKER-SGG: Hierarchical Knowledge Enhanced Robust Scene Graph Generation.

Ce Zhang, Simon Stepputtis, Joseph Campbell, Katia P. Sycara, Yaqi Xie

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

Concept-Guided Prompt Learning for Generalization in Vision-Language Models.

Yi Zhang, Ce Zhang, Ke Yu, Yushun Tang, Zhihai He

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Unsupervised Prototype Adapter for Vision-Language Models.

Yi Zhang, Ce Zhang, Xueting Hu, Zhihai He

Proceedings of the Pattern Recognition and Computer Vision - 6th Chinese Conference, 2023

Neuro-Modulated Hebbian Learning for Fully Test-Time Adaptation.

Yushun Tang, Ce Zhang, Heng Xu, Shuoshuo Chen, Jie Cheng, Luziwei Leng, Qinghai Guo, Zhihai He

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Self-Correctable and Adaptable Inference for Generalizable Human Pose Estimation.

Zhehan Kan, Shuoshuo Chen, Ce Zhang, Yushun Tang, Zhihai He

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

BDC-Adapter: Brownian Distance Covariance for Better Vision-Language Reasoning.

Yi Zhang, Ce Zhang, Zihan Liao, Yushun Tang, Zhihai He

Proceedings of the 34th British Machine Vision Conference 2023, 2023