Ziqian Zeng

According to our database, Ziqian Zeng authored at least 66 papers between 2014 and 2026.

Collaborative distances:

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

2026

A training-inference consistent framework for early exiting in language models with parallel decoding.

Ziqian Zeng, Zelin Chen, Huiping Zhuang

Int. J. Mach. Learn. Cybern., March, 2026

MixKVQ: Query-Aware Mixed-Precision KV Cache Quantization for Long-Context Reasoning.

Tao Zhang, Ziqian Zeng, Hao Peng, Huiping Zhuang, Cen Chen

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

Activation-Guided Local Editing for Jailbreaking Attacks.

Jiecong Wang, Haoran Li, Hao Peng, Ziqian Zeng, Zihao Wang, Haohua Du, Zhengtao Yu

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

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

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

Neural Architecture for Fast and Reliable Coagulation Assessment in Clinical Settings: Leveraging Thromboelastography.

Yulu Wang, Ziqian Zeng, Jianjun Wu, Zhifeng Tang

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025

ARGUS: Defending Against Multimodal Indirect Prompt Injection via Steering Instruction-Following Behavior.

Weikai Lu, Ziqian Zeng, Kehua Zhang, Haoran Li, Huiping Zhuang, Ruidong Wang, Cen Chen, Hao Peng

CoRR, December, 2025

GSPR: Aligning LLM Safeguards as Generalizable Safety Policy Reasoners.

Haoran Li, Yulin Chen, Jingru Zeng, Hao Peng, Huihao Jing, Wenbin Hu, Xi Yang, Ziqian Zeng, Sirui Han, Yangqiu Song

CoRR, September, 2025

SynAdapt: Learning Adaptive Reasoning in Large Language Models via Synthetic Continuous Chain-of-Thought.

Jianwei Wang, Ziming Wu, Fuming Lai, Shaobing Lian, Ziqian Zeng

CoRR, August, 2025

Zero-shot event argument extraction by disentangling trigger from argument and role.

Zhengdong Lu, Ziqian Zeng, Jianwei Wang, Hanlin Wang, Weikai Lu, Huiping Zhuang

Int. J. Mach. Learn. Cybern., June, 2025

Decompose, Plan in Parallel, and Merge: A Novel Paradigm for Large Language Models based Planning with Multiple Constraints.

Zhengdong Lu, Weikai Lu, Yiling Tao, Yun Dai, Zixuan Chen, Huiping Zhuang, Cen Chen, Hao Peng, Ziqian Zeng

CoRR, June, 2025

L3A: Label-Augmented Analytic Adaptation for Multi-Label Class Incremental Learning.

Xiang Zhang, Run He, Jiao Chen, Di Fang, Ming Li, Ziqian Zeng, Cen Chen, Huiping Zhuang

CoRR, June, 2025

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

CoRR, March, 2025

Online Analytic Exemplar-Free Continual Learning With Large Models for Imbalanced Autonomous Driving Task.

Huiping Zhuang, Di Fang, Kai Tong, Yuchen Liu, Ziqian Zeng, Xu Zhou, Cen Chen

IEEE Trans. Veh. Technol., February, 2025

Dap-SiMT: divergence-based adaptive policy for simultaneous machine translation.

Libo Zhao, Ziqian Zeng

Int. J. Mach. Learn. Cybern., February, 2025

RewardDS: Privacy-Preserving Fine-Tuning for Large Language Models via Reward Driven Data Synthesis.

Jianwei Wang, Junyao Yang, Haoran Li, Huiping Zhuang, Cen Chen, Ziqian Zeng

CoRR, February, 2025

Subkv: Quantizing Long Context KV Cache for Sub-Billion Parameter Language Models on Edge Devices.

Ziqian Zeng, Tao Zhang, Zhengdong Lu, Wenjun Li, Huiping Zhuang, Hongen Shao, Sin G. Teo, Xiaofeng Zou

Softw. Pract. Exp., 2025

DRViT: A dynamic redundancy-aware vision transformer accelerator via algorithm and architecture co-design on FPGA.

Xiangfeng Sun, Yuanting Zhang, Qinyu Wang, Xiaofeng Zou, Yujia Liu, Ziqian Zeng, Huiping Zhuang

J. Parallel Distributed Comput., 2025

ResDecode: Accelerating Large Language Models Inference via Residual Decoding Heads.

Ziqian Zeng, Jiahong Yu, Qianshi Pang, Zihao Wang, Huiping Zhuang, Fan Yu, Hongen Shao, Xiaofeng Zou

Big Data Min. Anal., 2025

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

Proceedings of the Forty-second International Conference on Machine Learning, 2025

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

Proceedings of the Forty-second International Conference on Machine Learning, 2025

DrFrattn: Directly Learn Adaptive Policy from Attention for Simultaneous Machine Translation.

Libo Zhao, Jing Li, Ziqian Zeng

Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing, 2025

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

Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing, 2025

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

Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing, 2025

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

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

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

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

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

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

SEA: Low-Resource Safety Alignment for Multimodal Large Language Models via Synthetic Embeddings.

Weikai Lu, Hao Peng, Huiping Zhuang, Cen Chen, Ziqian Zeng

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

SDD: Self-Degraded Defense against Malicious Fine-tuning.

Zixuan Chen, Weikai Lu, Xin Lin, Ziqian Zeng

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

2024

Efficient Point Cloud Video Recognition via Spatio-Temporal Pruning for MEC-Based Consumer Applications.

Cen Chen, Songyu Xie, Jing Liu, Zhongyao Cheng, Ziqian Zeng, Huiping Zhuang

IEEE Trans. Consumer Electron., February, 2024

Class incremental learning with analytic learning for hyperspectral image classification.

Huiping Zhuang, Yue Yan, Run He, Ziqian Zeng

J. Frankl. Inst., 2024

PsFuture: A Pseudo-Future-based Zero-Shot Adaptive Policy for Simultaneous Machine Translation.

Libo Zhao, Jing Li, Ziqian Zeng

CoRR, 2024

AIR: Analytic Imbalance Rectifier for Continual Learning.

Di Fang, Yinan Zhu, Runze Fang, Cen Chen, Ziqian Zeng, Huiping Zhuang

CoRR, 2024

GenderAlign: An Alignment Dataset for Mitigating Gender Bias in Large Language Models.

Tao Zhang, Ziqian Zeng, Yuxiang Xiao, Huiping Zhuang, Cen Chen, James R. Foulds, Shimei Pan

CoRR, 2024

PrivacyRestore: Privacy-Preserving Inference in Large Language Models via Privacy Removal and Restoration.

Ziqian Zeng, Jianwei Wang, Zhengdong Lu, Huiping Zhuang, Cen Chen

CoRR, 2024

Analytic Federated Learning.

Huiping Zhuang, Run He, Kai Tong, Di Fang, Han Sun, Haoran Li, Tianyi Chen, Ziqian Zeng

CoRR, 2024

Federated Domain-Specific Knowledge Transfer on Large Language Models Using Synthetic Data.

Haoran Li, Xinyuan Zhao, Dadi Guo, Hanlin Gu, Ziqian Zeng, Yuxing Han, Yangqiu Song, Lixin Fan, Qiang Yang

CoRR, 2024

Eraser: Jailbreaking Defense in Large Language Models via Unlearning Harmful Knowledge.

Weikai Lu, Ziqian Zeng, Jianwei Wang, Zhengdong Lu, Zelin Chen, Huiping Zhuang, Cen Chen

CoRR, 2024

AOCIL: Exemplar-free Analytic Online Class Incremental Learning with Low Time and Resource Consumption.

Huiping Zhuang, Yuchen Liu, Run He, Kai Tong, Ziqian Zeng, Cen Chen, Yi Wang, Lap-Pui Chau

CoRR, 2024

G-ACIL: Analytic Learning for Exemplar-Free Generalized Class Incremental Learning.

Huiping Zhuang, Yizhu Chen, Di Fang, Run He, Kai Tong, Hongxin Wei, Ziqian Zeng, Cen Chen

CoRR, 2024

Chimera: A Lossless Decoding Method for Accelerating Large Language Models Inference by Fusing all Tokens.

Ziqian Zeng, Jiahong Yu, Qianshi Pang, Zihao Wang, Huiping Zhuang, Cen Chen

CoRR, 2024

Online network traffic classification based on external attention and convolution by IP packet header.

Yahui Hu, Ziqian Zeng, Junping Song, Luyang Xu, Xu Zhou

Comput. Networks, 2024

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

Proceedings of the Companion Proceedings of the ACM on Web Conference 2024, 2024

F-OAL: Forward-only Online Analytic Learning with Fast Training and Low Memory Footprint in Class Incremental Learning.

Huiping Zhuang, Yuchen Liu, Run He, Kai Tong, Ziqian Zeng, Cen Chen, Yi Wang, Lap-Pui Chau

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

GACL: Exemplar-Free Generalized Analytic Continual Learning.

Huiping Zhuang, Yizhu Chen, Di Fang, Run He, Kai Tong, Hongxin Wei, Ziqian Zeng, Cen Chen

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

PsFuture: A Pseudo-Future-based Zero-Shot Adaptive Policy for Simultaneous Machine Translation.

Libo Zhao, Jing Li, Ziqian Zeng

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

Dissecting Fine-Tuning Unlearning in Large Language Models.

Yihuai Hong, Yuelin Zou, Lijie Hu, Ziqian Zeng, Di Wang, Haiqin Yang

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

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

Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024

On the Use of Silver Standard Data for Zero-shot Classification Tasks in Information Extraction.

Jianwei Wang, Tianyin Wang, Ziqian Zeng

Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024

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

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

ConsistentEE: A Consistent and Hardness-Guided Early Exiting Method for Accelerating Language Models Inference.

Ziqian Zeng, Yihuai Hong, Hongliang Dai, Huiping Zhuang, Cen Chen

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

2023

Network Traffic Classification Based on External Attention by IP Packet Header.

Yahui Hu, Ziqian Zeng, Junping Song, Luyang Xu, Xu Zhou

CoRR, 2023

Adaptive Policy with Wait-k Model for Simultaneous Translation.

Libo Zhao, Kai Fan, Wei Luo, Jing Wu, Shushu Wang, Ziqian Zeng, Zhongqiang Huang

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

GKEAL: Gaussian Kernel Embedded Analytic Learning for Few-Shot Class Incremental Task.

Huiping Zhuang, Zhenyu Weng, Run He, Zhiping Lin, Ziqian Zeng

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

From Ultra-Fine to Fine: Fine-tuning Ultra-Fine Entity Typing Models to Fine-grained.

Hongliang Dai, Ziqian Zeng

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

2022

Weakly Supervised Text Classification using Supervision Signals from a Language Model.

Ziqian Zeng, Weimin Ni, Tianqing Fang, Xiang Li, Xinran Zhao, Yangqiu Song

Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2022, 2022

2021

Debiasing Career Recommendations with Neural Fair Collaborative Filtering.

Rashidul Islam, Kamrun Naher Keya, Ziqian Zeng, Shimei Pan, James R. Foulds

Proceedings of the WWW '21: The Web Conference 2021, 2021

Fair Representation Learning for Heterogeneous Information Networks.

Ziqian Zeng, Rashidul Islam, Kamrun Naher Keya, James R. Foulds, Yangqiu Song, Shimei Pan

Proceedings of the Fifteenth International AAAI Conference on Web and Social Media, 2021

Variational Weakly Supervised Sentiment Analysis with Posterior Regularization.

Ziqian Zeng, Yangqiu Song

Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume, 2021

2020

Neural Fair Collaborative Filtering.

Rashidul Islam, Kamrun Naher Keya, Ziqian Zeng, Shimei Pan, James R. Foulds

CoRR, 2020

A Variational Approach to Unsupervised Sentiment Analysis.

Ziqian Zeng, Wenxuan Zhou, Xin Liu, Zizheng Lin, Yangqiu Song, Michael David Kuo, Wan Hang Keith Chiu

CoRR, 2020

2019

A Variational Approach to Weakly Supervised Document-Level Multi-Aspect Sentiment Classification.

Ziqian Zeng, Wenxuan Zhou, Xin Liu, Yangqiu Song

Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2019

2018

Biased Random Walk based Social Regularization for Word Embeddings.

Ziqian Zeng, Xin Liu, Yangqiu Song

Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

2017

Sequential conditional entropy maximization semi-supervised hashing for semantic image retrieval.

Wing W. Y. Ng, Yueming Lv, Ziqian Zeng, Daniel S. Yeung, Patrick P. K. Chan

Int. J. Mach. Learn. Cybern., 2017

Socialized Word Embeddings.

Ziqian Zeng, Yichun Yin, Yangqiu Song, Ming Zhang

Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017

2015

Asymmetric Cyclical Hashing for Large Scale Image Retrieval.

Yueming Lv, Wing W. Y. Ng, Ziqian Zeng, Daniel S. Yeung, Patrick P. K. Chan

IEEE Trans. Multim., 2015

2014

Multiple Orthogonal K-means Hashing.

Ziqian Zeng, Yueming Lv, Wing W. Y. Ng

Proceedings of the Machine Learning and Cybernetics, 2014