| 2026 | AAAI | Neural Architecture for Fast and Reliable Coagulation Assessment in Clinical Settings: Leveraging Thromboelastography. | Yulu Wang, Ziqian Zeng, Jianjun Wu, Zhifeng Tang |
| 2026 | AAAI | RCP-Merging: Merging Long Chain-of-Thought Models with Domain-Specific Models by Considering Reasoning Capability as Prior. | Junyao Yang, Jianwei Wang, Huiping Zhuang, Cen Chen, Ziqian Zeng |
| 2026 | ACL | Preserving Language Capabilities in Vision-Language Models via Representation Regulation. | Zixuan Chen, Juncheng Tao, Ziqian Zeng |
| 2026 | ACL | Activation-Guided Local Editing for Jailbreaking Attacks. | Jiecong Wang, Haoran Li, Hao Peng, Ziqian Zeng, Zihao Wang, Haohua Du, Zhengtao Yu |
| 2026 | ACL | MixKVQ: Query-Aware Mixed-Precision KV Cache Quantization for Long-Context Reasoning. | Tao Zhang, Ziqian Zeng, Hao Peng, Huiping Zhuang, Cen Chen |
| 2025 | ACL | SDD: Self-Degraded Defense against Malicious Fine-tuning. | Zixuan Chen, Weikai Lu, Xin Lin, Ziqian Zeng |
| 2025 | ACL | SEA: Low-Resource Safety Alignment for Multimodal Large Language Models via Synthetic Embeddings. | Weikai Lu, Hao Peng, Huiping Zhuang, Cen Chen, Ziqian Zeng |
| 2025 | ACL | PrivacyRestore: Privacy-Preserving Inference in Large Language Models via Privacy Removal and Restoration. | Ziqian Zeng, Jianwei Wang, Junyao Yang, Zhengdong Lu, Haoran Li, Huiping Zhuang, Cen Chen |
| 2025 | ACL | GenderAlign: An Alignment Dataset for Mitigating Gender Bias in Large Language Models. | Tao Zhang, Ziqian Zeng, YuxiangXiao YuxiangXiao, Huiping Zhuang, Cen Chen, James R. Foulds, Shimei Pan |
| 2025 | CVPR | AFL: A Single-Round Analytic Approach for Federated Learning with Pre-trained Models. | Run He, Kai Tong, Di Fang, Han Sun, Ziqian Zeng, Haoran Li, Tianyi Chen, Huiping Zhuang |
| 2025 | EMNLP | Context Reasoner: Incentivizing Reasoning Capability for Contextualized Privacy and Safety Compliance via Reinforcement Learning. | Wenbin Hu, Haoran Li, Huihao Jing, Qi Hu, Ziqian Zeng, Sirui Han, Heli Xu, Tianshu Chu, Peizhao Hu, Yangqiu Song |
| 2025 | EMNLP | RewardDS: Privacy-Preserving Fine-Tuning for Large Language Models via Reward Driven Data Synthesis. | Jianwei Wang, Chengming Shi, Junyao Yang, Haoran Li, Qianli Ma, Huiping Zhuang, Cen Chen, Ziqian Zeng |
| 2025 | EMNLP | DrFrattn: Directly Learn Adaptive Policy from Attention for Simultaneous Machine Translation. | Libo Zhao, Jing Li, Ziqian Zeng |
| 2025 | ICML | Semantic Shift Estimation via Dual-Projection and Classifier Reconstruction for Exemplar-Free Class-Incremental Learning. | Run He, Di Fang, Yicheng Xu, Yawen Cui, Ming Li, Cen Chen, Ziqian Zeng, Huiping Zhuang |
| 2025 | ICML | L3A: Label-Augmented Analytic Adaptation for Multi-Label Class Incremental Learning. | Xiang Zhang, Run He, Chen Jiao, Di Fang, Ming Li, Ziqian Zeng, Cen Chen, Huiping Zhuang |
| 2024 | AAAI | ConsistentEE: A Consistent and Hardness-Guided Early Exiting Method for Accelerating Language Models Inference. | Ziqian Zeng, Yihuai Hong, Hongliang Dai, Huiping Zhuang, Cen Chen |
| 2024 | AAAI | DS-AL: A Dual-Stream Analytic Learning for Exemplar-Free Class-Incremental Learning. | Huiping Zhuang, Run He, Kai Tong, Ziqian Zeng, Cen Chen, Zhiping Lin |
| 2024 | COLING | On the Use of Silver Standard Data for Zero-shot Classification Tasks in Information Extraction. | Jianwei Wang, Tianyin Wang, Ziqian Zeng |
| 2024 | COLING | Zero-shot Event Detection Using a Textual Entailment Model as an Enhanced Annotator. | Ziqian Zeng, Runyu Wu, Yuxiang Xiao, Xiaoda Zhong, Hanlin Wang, Zhengdong Lu, Huiping Zhuang |
| 2024 | EMNLP | Dissecting Fine-Tuning Unlearning in Large Language Models. | Yihuai Hong, Yuelin Zou, Lijie Hu, Ziqian Zeng, Di Wang, Haiqin Yang |
| 2024 | EMNLP | PsFuture: A Pseudo-Future-based Zero-Shot Adaptive Policy for Simultaneous Machine Translation. | Libo Zhao, Jing Li, Ziqian Zeng |
| 2024 | WWW | Zero-shot Explainable Mental Health Analysis on Social Media by Incorporating Mental Scales. | Wenyu Li, Yinuo Zhu, Xin Lin, Ming Li, Ziyue Jiang, Ziqian Zeng |
| 2023 | ACL | From Ultra-Fine to Fine: Fine-tuning Ultra-Fine Entity Typing Models to Fine-grained. | Hongliang Dai, Ziqian Zeng |
| 2023 | CVPR | GKEAL: Gaussian Kernel Embedded Analytic Learning for Few-Shot Class Incremental Task. | Huiping Zhuang, Zhenyu Weng, Run He, Zhiping Lin, Ziqian Zeng |
| 2023 | EMNLP | Adaptive Policy with Wait-k Model for Simultaneous Translation. | Libo Zhao, Kai Fan, Wei Luo, Jing Wu, Shushu Wang, Ziqian Zeng, Zhongqiang Huang |
| 2022 | NAACL | Weakly Supervised Text Classification using Supervision Signals from a Language Model. | Ziqian Zeng, Weimin Ni, Tianqing Fang, Xiang Li, Xinran Zhao, Yangqiu Song |
| 2021 | EACL | Variational Weakly Supervised Sentiment Analysis with Posterior Regularization. | Ziqian Zeng, Yangqiu Song |
| 2021 | ICWSM | Fair Representation Learning for Heterogeneous Information Networks. | Ziqian Zeng, Rashidul Islam, Kamrun Naher Keya, James R. Foulds, Yangqiu Song, Shimei Pan |
| 2021 | WWW | Debiasing Career Recommendations with Neural Fair Collaborative Filtering. | Rashidul Islam, Kamrun Naher Keya, Ziqian Zeng, Shimei Pan, James R. Foulds |
| 2019 | NAACL | A Variational Approach to Weakly Supervised Document-Level Multi-Aspect Sentiment Classification. | Ziqian Zeng, Wenxuan Zhou, Xin Liu, Yangqiu Song |
| 2018 | IJCAI | Biased Random Walk based Social Regularization for Word Embeddings. | Ziqian Zeng, Xin Liu, Yangqiu Song |
| 2017 | IJCAI | Socialized Word Embeddings. | Ziqian Zeng, Yichun Yin, Yangqiu Song, Ming Zhang |
| 2014 | ICMLC | Multiple Orthogonal K-means Hashing. | Ziqian Zeng, Yueming Lv, Wing W. Y. Ng |