Zhang, Zhiqiang

33 publications

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 Explore What LLM Does Not Know in Complex Question Answering Xin Lin, Zhenya Huang, Zhiqiang Zhang, Jun Zhou, Enhong Chen

AAAI 2025 HeMeNet: Heterogeneous Multichannel Equivariant Network for Protein Multi-Task Learning Rong Han, Wenbing Huang, Lingxiao Luo, Xinyan Han, Jiaming Shen, Zhiqiang Zhang, Jun Zhou, Ting Chen

AAAI 2025 Improving Natural Language Understanding for LLMs via Large-Scale Instruction Synthesis Lin Yuan, Jun Xu, Honghao Gui, Mengshu Sun, Zhiqiang Zhang, Lei Liang, Jun Zhou

NeurIPS 2025 Incentivizing Dual Process Thinking for Efficient Large Language Model Reasoning Xiaoxue Cheng, Junyi Li, Zhenduo Zhang, Xinyu Tang, Xin Zhao, XinYu Kong, Zhiqiang Zhang

AAAI 2025 K-ON: Stacking Knowledge on the Head Layer of Large Language Model Lingbing Guo, Yichi Zhang, Zhongpu Bo, Zhuo Chen, Mengshu Sun, Zhiqiang Zhang, Wen Zhang, Huajun Chen

ICML 2025 MASS: Mathematical Data Selection via Skill Graphs for Pretraining Large Language Models Jiazheng Li, Lu Yu, Qing Cui, Zhiqiang Zhang, Jun Zhou, Yanfang Ye, Chuxu Zhang

NeurIPS 2025 Mix Data or Merge Models? Balancing the Helpfulness, Honesty, and Harmlessness of Large Language Model via Model Merging Jinluan Yang, Dingnan Jin, Anke Tang, Li Shen, Didi Zhu, Zhengyu Chen, Ziyu Zhao, Daixin Wang, Qing Cui, Zhiqiang Zhang, Jun Zhou, Fei Wu, Kun Kuang

AAAI 2025 Smoothness Really Matters: A Simple yet Effective Approach for Unsupervised Graph Domain Adaptation Wei Chen, Guo Ye, Yakun Wang, Zhao Zhang, Libang Zhang, Daixin Wang, Zhiqiang Zhang, Fuzhen Zhuang

ECML-PKDD 2024 Adaptively Denoising Graph Neural Networks for Knowledge Distillation Yuxin Guo, Cheng Yang, Chuan Shi, Ke Tu, Zhengwei Wu, Zhiqiang Zhang, Jun Zhou

ICML 2024 Improving Equivariant Graph Neural Networks on Large Geometric Graphs via Virtual Nodes Learning Yuelin Zhang, Jiacheng Cen, Jiaqi Han, Zhiqiang Zhang, Jun Zhou, Wenbing Huang

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

NeurIPS 2024 MKGL: Mastery of a Three-Word Language Lingbing Guo, Zhongpu Bo, Zhuo Chen, Yichi Zhang, Jiaoyan Chen, Yarong Lan, Mengshu Sun, Zhiqiang Zhang, Yangyifei Luo, Qian Li, Qiang Zhang, Wen Zhang, Huajun Chen

UAI 2024 Neighbor Similarity and Multimodal Alignment Based Product Recommendation Study Zhiqiang Zhang, Yongqiang Jiang, Qian Gao, Zhipeng Wang

AAAI 2024 Structural Information Enhanced Graph Representation for Link Prediction Lei Shi, Bin Hu, Deng Zhao, Jianshan He, Zhiqiang Zhang, Jun Zhou

NeurIPSW 2024 Unveiling the Potential of Text in High-Dimensional Time Series Forecasting Xin Zhou, Weiqing Wang, Shilin Qu, Zhiqiang Zhang, Christoph Bergmeir

CVPR 2023 Adversarially Robust Neural Architecture Search for Graph Neural Networks Beini Xie, Heng Chang, Ziwei Zhang, Xin Wang, Daixin Wang, Zhiqiang Zhang, Rex Ying, Wenwu Zhu

ECML-PKDD 2023 Boosting Adaptive Graph Augmented MLPs via Customized Knowledge Distillation Shaowei Wei, Zhengwei Wu, Zhiqiang Zhang, Jun Zhou

WACV 2023 Interactive Image Manipulation with Complex Text Instructions Ryugo Morita, Zhiqiang Zhang, Man M. Ho, Jinjia Zhou

ECML-PKDD 2023 Long-Tail Augmented Graph Contrastive Learning for Recommendation Qian Zhao, Zhengwei Wu, Zhiqiang Zhang, Jun Zhou

ICLRW 2022 Decoupled Graph Neural Networks Based on Label Agreement Message Propagation Zhicheng An, Zhengwei Wu, Binbin Hu, Zhiqiang Zhang, Jun Zhou, Yue Wang, Shao-Lun Huang

IJCAI 2022 MERIT: Learning Multi-Level Representations on Temporal Graphs Binbin Hu, Zhengwei Wu, Jun Zhou, Ziqi Liu, Zhigang Huangfu, Zhiqiang Zhang, Chaochao Chen

AAAI 2022 Regularizing Graph Neural Networks via Consistency-Diversity Graph Augmentations Deyu Bo, Binbin Hu, Xiao Wang, Zhiqiang Zhang, Chuan Shi, Jun Zhou

AAAI 2022 Robust Heterogeneous Graph Neural Networks Against Adversarial Attacks Mengmei Zhang, Xiao Wang, Meiqi Zhu, Chuan Shi, Zhiqiang Zhang, Jun Zhou

AAAI 2021 Efficient Optimal Selection for Composited Advertising Creatives with Tree Structure Jin Chen, Tiezheng Ge, Gangwei Jiang, Zhiqiang Zhang, Defu Lian, Kai Zheng

ECML-PKDD 2021 Inductive Link Prediction with Interactive Structure Learning on Attributed Graph Shuo Yang, Binbin Hu, Zhiqiang Zhang, Wang Sun, Yang Wang, Jun Zhou, Hongyu Shan, Yuetian Cao, Borui Ye, Yanming Fang, Quan Yu

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

IJCAI 2020 Financial Risk Analysis for SMEs with Graph-Based Supply Chain Mining Shuo Yang, Zhiqiang Zhang, Jun Zhou, Yang Wang, Wang Sun, Xingyu Zhong, Yanming Fang, Quan Yu, Yuan Qi

AAAI 2020 Progressive Feature Polishing Network for Salient Object Detection Bo Wang, Quan Chen, Min Zhou, Zhiqiang Zhang, Xiaogang Jin, Kun Gai

AAAI 2019 Cash-Out User Detection Based on Attributed Heterogeneous Information Network with a Hierarchical Attention Mechanism Binbin Hu, Zhiqiang Zhang, Chuan Shi, Jun Zhou, Xiaolong Li, Yuan Qi