Feng Zhang

According to our database, Feng Zhang authored at least 23 papers between 2021 and 2026.

Collaborative distances:

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

2026

SEP-Attack: A Simple and Effective Paradigm for Transfer-Based Textual Adversarial Attack.

Han Liu, Zhi Xu, Xiaotong Zhang, Feng Zhang, Xiaoming Xu, Wei Wang, Fenglong Ma, Hong Yu

Proceedings of the ACM Web Conference 2026, 2026

RUQuant: Towards Refining Uniform Quantization for Large Language Models.

Han Liu, Haotian Gao, Changya Li, Feng Zhang, Xiaotong Zhang, Wei Wang, Hong Yu

Proceedings of the 32nd ACM SIGKDD Conference on Knowledge Discovery and Data Mining V.1, 2026

2025

Hybrid Attribution Priors for Explainable and Robust Model Training.

Zhuoran Zhang, Feng Zhang, Shangyuan Li, Yang Shi, Yuanxing Zhang, Wei Chen, Tengjiao Wang, Kam-Fai Wong

CoRR, December, 2025

ReranKGC: A cooperative retrieve-and-rerank framework for multi-modal knowledge graph completion.

Meng Gao, Yutao Xie, Wei Chen, Feng Zhang, Fei Ding, Tengjiao Wang, Jiahui Yao, Jiabin Zheng, Kam-Fai Wong

Neural Networks, 2025

SEP-MLDC: A Simple and Effective Paradigm for Multi-Label Document Classification.

Han Liu, Shuqin Li, Xiaotong Zhang, Yuanyuan Wang, Feng Zhang, Hongyang Chen, Hong Yu

Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2025, Albuquerque, New Mexico, USA, April 29, 2025

SEPTQ: A Simple and Effective Post-Training Quantization Paradigm for Large Language Models.

Han Liu, Haotian Gao, Xiaotong Zhang, Changya Li, Feng Zhang, Wei Wang, Fenglong Ma, Hong Yu

Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining, V.1, 2025

PR-KGC: Text-enhanced Knowledge Graph Completion with Pair-wise Re-ranking.

Meng Gao, Feng Zhang, Wei Chen, Tengjiao Wang, Jiabin Zheng, Jiahui Yao

Proceedings of the 2025 IEEE International Conference on Acoustics, 2025

Clear Up Confusion: Iterative Differential Generation for Fine-grained Intent Detection with Contrastive Feedback.

Feng Zhang, Wei Chen, Meng Gao, Fei Ding, Tengjiao Wang, Jiahui Yao, Jiabin Zheng

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

AdaDHP: Fine-Grained Fine-Tuning via Dual Hadamard Product and Adaptive Parameter Selection.

Han Liu, Changya Li, Xiaotong Zhang, Feng Zhang, Fenglong Ma, Wei Wang, Hong Yu

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

Multi-Label Few-Shot Image Classification via Pairwise Feature Augmentation and Flexible Prompt Learning.

Han Liu, Yuanyuan Wang, Xiaotong Zhang, Feng Zhang, Wei Wang, Fenglong Ma, Hong Yu

Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025

2024

A Coarse-to-Fine Prototype Learning Approach for Multi-Label Few-Shot Intent Detection.

Xiaotong Zhang, Xinyi Li, Feng Zhang, Zhiyi Wei, Junfeng Liu, Han Liu

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

Meta-Prompt Tuning Vision-Language Model for Multi-Label Few-Shot Image Recognition.

Feng Zhang, Wei Chen, Fei Ding, Tengjiao Wang, Dawei Lu, Jiabin Zheng

Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024

From Discrimination to Generation: Low-Resource Intent Detection with Language Model Instruction Tuning.

Feng Zhang, Wei Chen, Fei Ding, Meng Gao, Tengjiao Wang, Jiahui Yao, Jiabin Zheng

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

SELP: A Semantically-Driven Approach for Separated and Accurate Class Prototypes in Few-Shot Text Classification.

Wenxin Liang, Tingyu Zhang, Han Liu, Feng Zhang

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

Liberating Seen Classes: Boosting Few-Shot and Zero-Shot Text Classification via Anchor Generation and Classification Reframing.

Han Liu, Siyang Zhao, Xiaotong Zhang, Feng Zhang, Wei Wang, Fenglong Ma, Hongyang Chen, Hong Yu, Xianchao Zhang

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

Depression Detection via Capsule Networks with Contrastive Learning.

Han Liu, Changya Li, Xiaotong Zhang, Feng Zhang, Wei Wang, Fenglong Ma, Hongyang Chen, Hong Yu, Xianchao Zhang

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

2023

HQA-Attack: Toward High Quality Black-Box Hard-Label Adversarial Attack on Text.

Han Liu, Zhi Xu, Xiaotong Zhang, Feng Zhang, Fenglong Ma, Hongyang Chen, Hong Yu, Xianchao Zhang

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Dual Class Knowledge Propagation Network for Multi-label Few-shot Intent Detection.

Feng Zhang, Wei Chen, Fei Ding, Tengjiao Wang

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

Boosting Few-Shot Text Classification via Distribution Estimation.

Han Liu, Feng Zhang, Xiaotong Zhang, Siyang Zhao, Fenglong Ma, Xiao-Ming Wu, Hongyang Chen, Hong Yu, Xianchao Zhang

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

SSPAttack: A Simple and Sweet Paradigm for Black-Box Hard-Label Textual Adversarial Attack.

Han Liu, Zhi Xu, Xiaotong Zhang, Xiaoming Xu, Feng Zhang, Fenglong Ma, Hongyang Chen, Hong Yu, Xianchao Zhang

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

A Simple Meta-learning Paradigm for Zero-shot Intent Classification with Mixture Attention Mechanism.

Han Liu, Siyang Zhao, Xiaotong Zhang, Feng Zhang, Junjie Sun, Hong Yu, Xianchao Zhang

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

Label-enhanced Prototypical Network with Contrastive Learning for Multi-label Few-shot Aspect Category Detection.

Han Liu, Feng Zhang, Xiaotong Zhang, Siyang Zhao, Junjie Sun, Hong Yu, Xianchao Zhang

Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

2021

An Explicit-Joint and Supervised-Contrastive Learning Framework for Few-Shot Intent Classification and Slot Filling.

Han Liu, Feng Zhang, Xiaotong Zhang, Siyang Zhao, Xianchao Zhang

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2021, 2021