An Explicit-Joint and Supervised-Contrastive Learning Framework for Few-Shot Intent Classification and Slot Filling. - Han Liu 008; Feng Zhang 027; Xiaotong Zhang 003; Siyang Zhao; Xianchao Zhang 001 (EMNLP (Findings), 2021)

Label-enhanced Prototypical Network with Contrastive Learning for Multi-label Few-shot Aspect Category Detection. - Han Liu 008; Feng Zhang 027; Xiaotong Zhang 003; Siyang Zhao; Junjie Sun; Hong Yu 005; Xianchao Zhang 001 (KDD, 2022)

A Simple Meta-learning Paradigm for Zero-shot Intent Classification with Mixture Attention Mechanism. - Han Liu 008; Siyang Zhao; Xiaotong Zhang 003; Feng Zhang 027; Junjie Sun; Hong Yu 005; Xianchao Zhang 001 (SIGIR, 2022)

SSPAttack: A Simple and Sweet Paradigm for Black-Box Hard-Label Textual Adversarial Attack. - Han Liu 008; Zhi Xu 008; Xiaotong Zhang 003; Xiaoming Xu 003; Feng Zhang 027; Fenglong Ma; Hongyang Chen; Hong Yu 005; Xianchao Zhang 001 (AAAI, 2023)

Boosting Few-Shot Text Classification via Distribution Estimation. - Han Liu 008; Feng Zhang 027; Xiaotong Zhang 003; Siyang Zhao; Fenglong Ma; Xiao-Ming Wu 003; Hongyang Chen; Hong Yu 005; Xianchao Zhang 001 (AAAI, 2023)

Dual Class Knowledge Propagation Network for Multi-label Few-shot Intent Detection. - Feng Zhang 027; Wei Chen 056; Fei Ding; Tengjiao Wang 003 (ACL (1), 2023)

HQA-Attack: Toward High Quality Black-Box Hard-Label Adversarial Attack on Text. - Han Liu 008; Zhi Xu 008; Xiaotong Zhang 003; Feng Zhang 027; Fenglong Ma; Hongyang Chen; Hong Yu 005; Xianchao Zhang 001 (NeurIPS, 2023)

Depression Detection via Capsule Networks with Contrastive Learning. - Han Liu 008; Changya Li; Xiaotong Zhang 003; Feng Zhang 027; Wei Wang 077; Fenglong Ma; Hongyang Chen; Hong Yu 005; Xianchao Zhang 001 (AAAI, 2024)

Liberating Seen Classes: Boosting Few-Shot and Zero-Shot Text Classification via Anchor Generation and Classification Reframing. - Han Liu 008; Siyang Zhao; Xiaotong Zhang 003; Feng Zhang 027; Wei Wang 077; Fenglong Ma; Hongyang Chen; Hong Yu 005; Xianchao Zhang 001 (AAAI, 2024)

SELP: A Semantically-Driven Approach for Separated and Accurate Class Prototypes in Few-Shot Text Classification. - Wenxin Liang; Tingyu Zhang; Han Liu 008; Feng Zhang 027 (ACL (Findings), 2024)

From Discrimination to Generation: Low-Resource Intent Detection with Language Model Instruction Tuning. - Feng Zhang 027; Wei Chen 056; Fei Ding; Meng Gao; Tengjiao Wang 003; Jiahui Yao; Jiabin Zheng (ACL (Findings), 2024)

Meta-Prompt Tuning Vision-Language Model for Multi-Label Few-Shot Image Recognition. - Feng Zhang 027; Wei Chen 056; Fei Ding; Tengjiao Wang 003; Dawei Lu; Jiabin Zheng (CIKM, 2024)

A Coarse-to-Fine Prototype Learning Approach for Multi-Label Few-Shot Intent Detection. - Xiaotong Zhang 003; Xinyi Li; Feng Zhang 027; Zhiyi Wei; Junfeng Liu; Han Liu 008 (EMNLP (Findings), 2024)

Multi-Label Few-Shot Image Classification via Pairwise Feature Augmentation and Flexible Prompt Learning. - Han Liu 008; Yuanyuan Wang; Xiaotong Zhang 003; Feng Zhang 027; Wei Wang 077; Fenglong Ma; Hong Yu 005 (AAAI, 2025)

AdaDHP: Fine-Grained Fine-Tuning via Dual Hadamard Product and Adaptive Parameter Selection. - Han Liu 008; Changya Li; Xiaotong Zhang 003; Feng Zhang 027; Fenglong Ma; Wei Wang 077; Hong Yu 005 (ACL (1), 2025)

Clear Up Confusion: Iterative Differential Generation for Fine-grained Intent Detection with Contrastive Feedback. - Feng Zhang 027; Wei Chen 056; Meng Gao; Fei Ding; Tengjiao Wang 003; Jiahui Yao; Jiabin Zheng (COLING, 2025)

PR-KGC: Text-enhanced Knowledge Graph Completion with Pair-wise Re-ranking. - Meng Gao; Feng Zhang 027; Wei Chen 056; Tengjiao Wang 003; Jiabin Zheng; Jiahui Yao (ICASSP, 2025)

SEPTQ: A Simple and Effective Post-Training Quantization Paradigm for Large Language Models. - Han Liu 008; Haotian Gao; Xiaotong Zhang 003; Changya Li; Feng Zhang 027; Wei Wang 077; Fenglong Ma; Hong Yu 005 (KDD (1), 2025)

SEP-MLDC: A Simple and Effective Paradigm for Multi-Label Document Classification. - Han Liu 008; Shuqin Li; Xiaotong Zhang 003; Yuanyuan Wang; Feng Zhang 027; Hongyang Chen; Hong Yu 005 (NAACL (Findings), 2025)

ReranKGC: A cooperative retrieve-and-rerank framework for multi-modal knowledge graph completion. - Meng Gao; Yutao Xie; Wei Chen 056; Feng Zhang 027; Fei Ding; Tengjiao Wang 003; Jiahui Yao; Jiabin Zheng; Kam-Fai Wong (Neural Networks, 2025)