Feng Zhang

29 papers A* 9A 1B 1Misc 1Journal 8Unranked 9
YearRankTypeTitle / Venue / Authors
2026 — conf
RUQuant: Towards Refining Uniform Quantization for Large Language Models.
KDD (1)
Han Liu, Haotian Gao, Changya Li, Feng Zhang, Xiaotong Zhang, Wei Wang, Hong Yu
2026 A* conf
SEP-Attack: A Simple and Effective Paradigm for Transfer-Based Textual Adversarial Attack.
WWW
Han Liu, Zhi Xu, Xiaotong Zhang, Feng Zhang, Xiaoming Xu, Wei Wang, Fenglong Ma, Hong Yu
2025 — conf
AdaDHP: Fine-Grained Fine-Tuning via Dual Hadamard Product and Adaptive Parameter Selection.
ACL (1)
Han Liu, Changya Li, Xiaotong Zhang, Feng Zhang, Fenglong Ma, Wei Wang, Hong Yu
2025 B conf
Clear Up Confusion: Iterative Differential Generation for Fine-grained Intent Detection with Contrastive Feedback.
COLING
Feng Zhang, Wei Chen, Meng Gao, Fei Ding, Tengjiao Wang, Jiahui Yao, Jiabin Zheng
2025 J jnl
Hybrid Attribution Priors for Explainable and Robust Model Training.
CoRR
Zhuoran Zhang, Feng Zhang, Shangyuan Li, Yang Shi, Yuanxing Zhang, Wei Chen, Tengjiao Wang, Kam-Fai Wong
2025 A* conf
Multi-Label Few-Shot Image Classification via Pairwise Feature Augmentation and Flexible Prompt Learning.
AAAI
Han Liu, Yuanyuan Wang, Xiaotong Zhang, Feng Zhang, Wei Wang, Fenglong Ma, Hong Yu
2025 Misc conf
PR-KGC: Text-enhanced Knowledge Graph Completion with Pair-wise Re-ranking.
ICASSP
Meng Gao, Feng Zhang, Wei Chen, Tengjiao Wang, Jiabin Zheng, Jiahui Yao
2025 J jnl
ReranKGC: A cooperative retrieve-and-rerank framework for multi-modal knowledge graph completion.
Neural Networks
Meng Gao, Yutao Xie, Wei Chen, Feng Zhang, Fei Ding, Tengjiao Wang, Jiahui Yao, Jiabin Zheng, Kam-Fai Wong
2025 — conf
SEP-MLDC: A Simple and Effective Paradigm for Multi-Label Document Classification.
NAACL (Findings)
Han Liu, Shuqin Li, Xiaotong Zhang, Yuanyuan Wang, Feng Zhang, Hongyang Chen, Hong Yu
2025 — conf
SEPTQ: A Simple and Effective Post-Training Quantization Paradigm for Large Language Models.
KDD (1)
Han Liu, Haotian Gao, Xiaotong Zhang, Changya Li, Feng Zhang, Wei Wang, Fenglong Ma, Hong Yu
2024 — conf
A Coarse-to-Fine Prototype Learning Approach for Multi-Label Few-Shot Intent Detection.
EMNLP (Findings)
Xiaotong Zhang, Xinyi Li, Feng Zhang, Zhiyi Wei, Junfeng Liu, Han Liu
2024 A* conf
Depression Detection via Capsule Networks with Contrastive Learning.
AAAI
Han Liu, Changya Li, Xiaotong Zhang, Feng Zhang, Wei Wang, Fenglong Ma, Hongyang Chen, Hong Yu, Xianchao Zhang
2024 — conf
From Discrimination to Generation: Low-Resource Intent Detection with Language Model Instruction Tuning.
ACL (Findings)
Feng Zhang, Wei Chen, Fei Ding, Meng Gao, Tengjiao Wang, Jiahui Yao, Jiabin Zheng
2024 J jnl
HQA-Attack: Toward High Quality Black-Box Hard-Label Adversarial Attack on Text.
CoRR
Han Liu, Zhi Xu, Xiaotong Zhang, Feng Zhang, Fenglong Ma, Hongyang Chen, Hong Yu, Xianchao Zhang
2024 A* conf
Liberating Seen Classes: Boosting Few-Shot and Zero-Shot Text Classification via Anchor Generation and Classification Reframing.
AAAI
Han Liu, Siyang Zhao, Xiaotong Zhang, Feng Zhang, Wei Wang, Fenglong Ma, Hongyang Chen, Hong Yu, Xianchao Zhang
2024 J jnl
Liberating Seen Classes: Boosting Few-Shot and Zero-Shot Text Classification via Anchor Generation and Classification Reframing.
CoRR
Han Liu, Siyang Zhao, Xiaotong Zhang, Feng Zhang, Wei Wang, Fenglong Ma, Hongyang Chen, Hong Yu, Xianchao Zhang
2024 A conf
Meta-Prompt Tuning Vision-Language Model for Multi-Label Few-Shot Image Recognition.
CIKM
Feng Zhang, Wei Chen, Fei Ding, Tengjiao Wang, Dawei Lu, Jiabin Zheng
2024 — conf
SELP: A Semantically-Driven Approach for Separated and Accurate Class Prototypes in Few-Shot Text Classification.
ACL (Findings)
Wenxin Liang, Tingyu Zhang, Han Liu, Feng Zhang
2023 A* conf
Boosting Few-Shot Text Classification via Distribution Estimation.
AAAI
Han Liu, Feng Zhang, Xiaotong Zhang, Siyang Zhao, Fenglong Ma, Xiao-Ming Wu, Hongyang Chen, Hong Yu, Xianchao Zhang
2023 J jnl
Boosting Few-Shot Text Classification via Distribution Estimation.
CoRR
Han Liu, Feng Zhang, Xiaotong Zhang, Siyang Zhao, Fenglong Ma, Xiao-Ming Wu, Hongyang Chen, Hong Yu, Xianchao Zhang
2023 — conf
Dual Class Knowledge Propagation Network for Multi-label Few-shot Intent Detection.
ACL (1)
Feng Zhang, Wei Chen, Fei Ding, Tengjiao Wang
2023 A* conf
HQA-Attack: Toward High Quality Black-Box Hard-Label Adversarial Attack on Text.
NeurIPS
Han Liu, Zhi Xu, Xiaotong Zhang, Feng Zhang, Fenglong Ma, Hongyang Chen, Hong Yu, Xianchao Zhang
2023 A* conf
SSPAttack: A Simple and Sweet Paradigm for Black-Box Hard-Label Textual Adversarial Attack.
AAAI
Han Liu, Zhi Xu, Xiaotong Zhang, Xiaoming Xu, Feng Zhang, Fenglong Ma, Hongyang Chen, Hong Yu, Xianchao Zhang
2022 A* conf
A Simple Meta-learning Paradigm for Zero-shot Intent Classification with Mixture Attention Mechanism.
SIGIR
Han Liu, Siyang Zhao, Xiaotong Zhang, Feng Zhang, Junjie Sun, Hong Yu, Xianchao Zhang
2022 J jnl
A Simple Meta-learning Paradigm for Zero-shot Intent Classification with Mixture Attention Mechanism.
CoRR
Han Liu, Siyang Zhao, Xiaotong Zhang, Feng Zhang, Junjie Sun, Hong Yu, Xianchao Zhang
2022 A* conf
Label-enhanced Prototypical Network with Contrastive Learning for Multi-label Few-shot Aspect Category Detection.
KDD
Han Liu, Feng Zhang, Xiaotong Zhang, Siyang Zhao, Junjie Sun, Hong Yu, Xianchao Zhang
2022 J jnl
Label-enhanced Prototypical Network with Contrastive Learning for Multi-label Few-shot Aspect Category Detection.
CoRR
Han Liu, Feng Zhang, Xiaotong Zhang, Siyang Zhao, Junjie Sun, Hong Yu, Xianchao Zhang
2021 — conf
An Explicit-Joint and Supervised-Contrastive Learning Framework for Few-Shot Intent Classification and Slot Filling.
EMNLP (Findings)
Han Liu, Feng Zhang, Xiaotong Zhang, Siyang Zhao, Xianchao Zhang
2021 J jnl
An Explicit-Joint and Supervised-Contrastive Learning Framework for Few-Shot Intent Classification and Slot Filling.
CoRR
Han Liu, Feng Zhang, Xiaotong Zhang, Siyang Zhao, Xianchao Zhang