Zhaohan Zhang

According to our database, Zhaohan Zhang authored at least 24 papers between 2020 and 2026.

Collaborative distances:

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

2026

A novel hybrid Particle Swarm Optimization for 3D deployment plan of UAV base stations in post-disaster scenarios.

Zhen Zhou, Zhaohan Zhang, Zhuo Chang

Comput. Networks, 2026

GrACE: A Generative Approach to Better Confidence Elicitation and Efficient Test-Time Scaling in Large Language Models.

Zhaohan Zhang, Ziquan Liu, Ioannis Patras

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

Confidence Should Be Calibrated More Than One Turn Deep.

Zhaohan Zhang, Chengzhengxu Li, Xiaoming Liu, Chao Shen, Ziquan Liu, Ioannis Patras

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

Can Reasoning Path still be Effective as Input? Bridging Post-Reasoning to Chain-of-Thought Compression.

Chengzhengxu Li, Xiaoming Liu, Zhaohan Zhang, Shengchao Liu, Guoxin Ma, Yu Lan, Cong Wang, Chao Shen

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

MGT-Prism: Enhancing Domain Generalization for Machine-Generated Text Detection via Spectral Alignment.

Shengchao Liu, Xiaoming Liu, Chengzhengxu Li, Zhaohan Zhang, Guoxin Ma, Yu Lan, Shuai Xiao

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025

Upfront Chain-of-Thought: A Cooperative Framework for Chain-of-Thought Compression.

Chengzhengxu Li, Xiaoming Liu, Zhaohan Zhang, Shaochu Zhang, Shengchao Liu, Guoxin Ma, Yu Lan, Chao Shen

CoRR, October, 2025

GrACE: A Generative Approach to Better Confidence Elicitation in Large Language Models.

Zhaohan Zhang, Ziquan Liu, Ioannis Patras

CoRR, September, 2025

MGT-Prism: Enhancing Domain Generalization for Machine-Generated Text Detection via Spectral Alignment.

Shengchao Liu, Xiaoming Liu, Chengzhengxu Li, Zhaohan Zhang, Guoxin Ma, Yu Lan, Shuai Xiao

CoRR, August, 2025

Iron Sharpens Iron: Defending Against Attacks in Machine-Generated Text Detection with Adversarial Training.

Yuanfan Li, Zhaohan Zhang, Chengzhengxu Li, Chao Shen, Xiaoming Liu

CoRR, February, 2025

SwinFusion-XL: Multi-Scale Fusion and Cross xLSTM for Enhanced Brain Tumor Segmentation.

Zhaohan Zhang, Ruizuan Bao, Jingjun Gu, Yue Yu, Jiajun Bu

Proceedings of the International Joint Conference on Neural Networks, 2025

BDA-YOLO: Enhancing Thyroid Nodule Detection and Segmentation via Dynamic and Bidirectional Attention.

Yue Yu, Ruizuan Bao, Jingjun Gu, Zhaohan Zhang, Jiajun Bu

Proceedings of the International Joint Conference on Neural Networks, 2025

Get Confused Cautiously: Textual Sequence Memorization Erasure with Selective Entropy Maximization.

Zhaohan Zhang, Ziquan Liu, Ioannis Patras

Proceedings of the 31st International Conference on Computational Linguistics, 2025

HACo-Det: A Study Towards Fine-Grained Machine-Generated Text Detection under Human-AI Coauthoring.

Zhixiong Su, Yichen Wang, Herun Wan, Zhaohan Zhang, Minnan Luo

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

Iron Sharpens Iron: Defending Against Attacks in Machine-Generated Text Detection with Adversarial Training.

Yuanfan Li, Zhaohan Zhang, Chengzhengxu Li, Chao Shen, Xiaoming Liu

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

2024

Does DetectGPT Fully Utilize Perturbation? Bridge Selective Perturbation to Fine-tuned Contrastive Learning Detector would be Better.

Shengchao Liu, Xiaoming Liu, Yichen Wang, Zehua Cheng, Chengzhengxu Li, Zhaohan Zhang, Yu Lan, Chao Shen

CoRR, 2024

Concentrate Attention: Towards Domain-Generalizable Prompt Optimization for Language Models.

Chengzhengxu Li, Xiaoming Liu, Zhaohan Zhang, Yichen Wang, Chen Liu, Yu Lan, Chao Shen

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

StablePT : Towards Stable Prompting for Few-shot Learning via Input Separation.

Xiaoming Liu, Chen Liu, Zhaohan Zhang, Chengzhengxu Li, Longtian Wang, Yu Lan, Chao Shen

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

Does DetectGPT Fully Utilize Perturbation? Bridging Selective Perturbation to Fine-tuned Contrastive Learning Detector would be Better.

Shengchao Liu, Xiaoming Liu, Yichen Wang, Zehua Cheng, Chengzhengxu Li, Zhaohan Zhang, Yu Lan, Chao Shen

Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

2023

Traffic Anomaly Prediction Based on Joint Static-Dynamic Spatio-Temporal Evolutionary Learning.

Xiaoming Liu, Zhanwei Zhang, Lingjuan Lyu, Zhaohan Zhang, Shuai Xiao, Chao Shen, Philip S. Yu

IEEE Trans. Knowl. Data Eng., May, 2023

CoCo: Coherence-Enhanced Machine-Generated Text Detection Under Low Resource With Contrastive Learning.

Xiaoming Liu, Zhaohan Zhang, Yichen Wang, Hang Pu, Yu Lan, Chao Shen

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

2022

CoCo: Coherence-Enhanced Machine-Generated Text Detection Under Data Limitation With Contrastive Learning.

Xiaoming Liu, Zhaohan Zhang, Yichen Wang, Yu Lan, Chao Shen

CoRR, 2022

Unify Local and Global Information for Top-N Recommendation.

Xiaoming Liu, Shaocong Wu, Zhaohan Zhang, Chao Shen

Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022

2021

AoA-and-Amplitude Fingerprint Based Indoor Intelligent Localization Scheme for 5G Wireless Communications.

Zhaohan Zhang, Liang Wu, Zaichen Zhang, Jian Dang, Bingcheng Zhu, Lei Wang

Proceedings of the 13th International Conference on Wireless Communications and Signal Processing, 2021

2020

A Duet Recommendation Algorithm Based on Jointly Local and Global Representation Learning.

Xiaoming Liu, Shaocong Wu, Zhaohan Zhang, Zhanwei Zhang, Yu Lan, Chao Shen

CoRR, 2020