Liu, Ziqi

20 publications

NeurIPS 2025 Accurate KV Cache Eviction via Anchor Direction Projection for Efficient LLM Inference Zijie Geng, Jie Wang, Ziqi Liu, Feng Ju, Yiming Li, Xing Li, Mingxuan Yuan, Jianye Hao, Defu Lian, Enhong Chen, Feng Wu
JMLR 2025 Adaptive Client Sampling in Federated Learning via Online Learning with Bandit Feedback Boxin Zhao, Lingxiao Wang, Ziqi Liu, Zhiqiang Zhang, Jun Zhou, Chaochao Chen, Mladen Kolar
AAAI 2025 Bagging-Expert Network for Multi-Task Learning: A Depolarization Solution in Multi-Gate Mixture-of-Experts Gong-Duo Zhang, Ruiqing Chen, Qian Zhao, Zhengwei Wu, Fengyu Han, Huan-Yi Su, Ziqi Liu, Lihong Gu, Lin Zhou
NeurIPS 2025 Faithful Group Shapley Value Kiljae Lee, Ziqi Liu, Weijing Tang, Yuan Zhang
AISTATS 2025 FreqMoE: Enhancing Time Series Forecasting Through Frequency Decomposition Mixture of Experts Ziqi Liu
ICLR 2025 Multiple Heads Are Better than One: Mixture of Modality Knowledge Experts for Entity Representation Learning Yichi Zhang, Zhuo Chen, Lingbing Guo, Yajing Xu, Binbin Hu, Ziqi Liu, Wen Zhang, Huajun Chen
ICCV 2025 OpenRSD: Towards Open-Prompts for Object Detection in Remote Sensing Images Ziyue Huang, Yongchao Feng, Ziqi Liu, Shuai Yang, Qingjie Liu, Yunhong Wang
AAAI 2025 TGLsta: Low-Resource Textual Graph Learning with Semantic and Topological Awareness via LLMs Qin Zhang, Xiaowei Li, Ziqi Liu, Xiaochen Fan, Xiaojun Chen, Shirui Pan
AAAI 2025 Tokenization, Fusion, and Augmentation: Towards Fine-Grained Multi-Modal Entity Representation Yichi Zhang, Zhuo Chen, Lingbing Guo, Yajing Xu, Binbin Hu, Ziqi Liu, Wen Zhang, Huajun Chen
ICLRW 2025 Towards More Accurate Full-Atom Antibody Co-Design Jiayang Wu, Xingyi Zhang, Xiangyu Dong, Kun Xie, Ziqi Liu, Wensheng Gan, Sibo Wang, Le Song
AAAI 2024 MDGNN: Multi-Relational Dynamic Graph Neural Network for Comprehensive and Dynamic Stock Investment Prediction Hao Qian, Hongting Zhou, Qian Zhao, Hao Chen, Hongxiang Yao, Jingwei Wang, Ziqi Liu, Fei Yu, Zhiqiang Zhang, Jun Zhou
IJCAI 2022 MERIT: Learning Multi-Level Representations on Temporal Graphs Binbin Hu, Zhengwei Wu, Jun Zhou, Ziqi Liu, Zhigang Huangfu, Zhiqiang Zhang, Chaochao Chen
IJCAI 2022 Vertically Federated Graph Neural Network for Privacy-Preserving Node Classification Chaochao Chen, Jun Zhou, Longfei Zheng, Huiwen Wu, Lingjuan Lyu, Jia Wu, Bingzhe Wu, Ziqi Liu, Li Wang, Xiaolin Zheng
AAAI 2021 Joint Incentive Optimization of Customer and Merchant in Mobile Payment Marketing Li Yu, Zhengwei Wu, Tianchi Cai, Ziqi Liu, Zhiqiang Zhang, Lihong Gu, Xiaodong Zeng, Jinjie Gu
NeurIPS 2021 MixSeq: Connecting Macroscopic Time Series Forecasting with Microscopic Time Series Data Zhibo Zhu, Ziqi Liu, Ge Jin, Zhiqiang Zhang, Lei Chen, Jun Zhou, Jianyong Zhou
IJCAI 2021 User Retention: A Causal Approach with Triple Task Modeling Yang Zhang, Dong Wang, Qiang Li, Yue Shen, Ziqi Liu, Xiaodong Zeng, Zhiqiang Zhang, Jinjie Gu, Derek F. Wong
NeurIPS 2020 Bandit Samplers for Training Graph Neural Networks Ziqi Liu, Zhengwei Wu, Zhiqiang Zhang, Jun Zhou, Shuang Yang, Le Song, Yuan Qi
AAAI 2019 GeniePath: Graph Neural Networks with Adaptive Receptive Paths Ziqi Liu, Chaochao Chen, Longfei Li, Jun Zhou, Xiaolong Li, Le Song, Yuan Qi
AAAI 2018 Privacy Preserving Point-of-Interest Recommendation Using Decentralized Matrix Factorization Chaochao Chen, Ziqi Liu, Peilin Zhao, Jun Zhou, Xiaolong Li
AISTATS 2017 Attributing Hacks Ziqi Liu, Alexander J. Smola, Kyle Soska, Yu-Xiang Wang, Qinghua Zheng