| 2026 | AAAI | LogicCat: A Chain-of-Thought Text-to-SQL Benchmark for Complex Reasoning. | Liutao, Xutao Mao, Dixuan Zhang, Yifan Li, Haixin Liu, Lulu Kong, Jiaming Hou, Rui Li, YunLong Li, Aoze Zheng, Zhiqiang Zhang, Zhewei Luo, Hongying Zan, Kunli Zhang, Min Peng |
| 2026 | ACL | Optimal Expert-Attention Allocation in Mixture-of-Experts: A Scalable Law for Dynamic Model Design. | Junzhuo Li, Peijie Jiang, Changxin Tian, Jia Liu, Zhiqiang Zhang, Xuming Hu |
| 2026 | ACL | Rethinking Sample Polarity in Reinforcement Learning with Verifiable Rewards. | Xinyu Tang, Yuliang Zhan, Zhixun Li, Xin Zhao, Zhenduo Zhang, Zujie Wen, Zhiqiang Zhang, Jun Zhou |
| 2026 | ACL | Reflective RAG: Self-Evaluation Driven Strategy Optimization in Agentic Retrieval-Augmented Generation. | Haiyan Wu, Chenchen Wang, Chaoqun Sun, Chengxiong Lu, Yanhong Chen, Zhiqiang Zhang, Xiaoqing Feng |
| 2026 | EACL | RV-Syn: Rational and Verifiable Mathematical Reasoning Data Synthesis based on Structured Function Library. | Jiapeng Wang, Jinhao Jiang, Zhiqiang Zhang, Jun Zhou, Xin Zhao |
| 2026 | ISCAS | A 30Gb/s/pin PAM3 Single-Ended Transceiver with Crosstalk-Cancelling Coding for Memory Interfaces. | Qian Liu, Yiheng Hui, Yiwei Xu, Zhiqiang Zhang, Li Du, Yuan Du |
| 2026 | WWW | Token-level Collaborative Alignment for LLM-based Generative Recommendation. | Fake Lin, Binbin Hu, Zhi Zheng, Xi Zhu, Ziqi Liu, Zhiqiang Zhang, Jun Zhou, Tong Xu |
| 2026 | WWW | Conflict-Aware RAG: Multi-Stage Learning with Conflict Signals for Robust Retrieval-Augmented Generation. | Haiyan Wu, Chenchen Wang, Chaoqun Sun, Chengxiong Lu, Zhiqiang Zhang, Yanhong Chen |
| 2026 | WSDM | LookAhead Tuning: Safer Language Models via Partial Answer Previews. | Kangwei Liu, Mengru Wang, Yujie Luo, Lin Yuan, Mengshu Sun, Lei Liang, Zhiqiang Zhang, Jun Zhou, Bryan Hooi, Shumin Deng |
| 2025 | AAAI | 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 |
| 2025 | AAAI | 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 |
| 2025 | AAAI | 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 |
| 2025 | AAAI | Explore What LLM Does Not Know in Complex Question Answering. | Xin Lin, Zhenya Huang, Zhiqiang Zhang, Jun Zhou, Enhong Chen |
| 2025 | AAAI | 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 |
| 2025 | ACL | Unlocking General Long Chain-of-Thought Reasoning Capabilities of Large Language Models via Representation Engineering. | Xinyu Tang, Xiaolei Wang, Zhihao Lv, Yingqian Min, Xin Zhao, Binbin Hu, Ziqi Liu, Zhiqiang Zhang |
| 2025 | ACL | BOSE: A Systematic Evaluation Method Optimized for Base Models. | Hongzhi Luan, Changxin Tian, Zhaoxin Huan, Xiaolu Zhang, Kunlong Chen, Zhiqiang Zhang, Jun Zhou |
| 2025 | ACL | Have We Designed Generalizable Structural Knowledge Promptings? Systematic Evaluation and Rethinking. | Yichi Zhang, Zhuo Chen, Lingbing Guo, Yajing Xu, Shaokai Chen, Mengshu Sun, Binbin Hu, Zhiqiang Zhang, Lei Liang, Wen Zhang, Huajun Chen |
| 2025 | CIKM | Arrows of Math Reasoning Data Synthesis for Large Language Models: Diversity, Complexity and Correctness. | Sirui Chen, Changxin Tian, Binbin Hu, Kunlong Chen, Ziqi Liu, Zhiqiang Zhang, Jun Zhou |
| 2025 | COLING | Rule-KBQA: Rule-Guided Reasoning for Complex Knowledge Base Question Answering with Large Language Models. | Zhiqiang Zhang, Liqiang Wen, Wen Zhao |
| 2025 | COLING | A Collaborative Reasoning Framework Powered by Reinforcement Learning and Large Language Models for Complex Questions Answering over Knowledge Graph. | Zhiqiang Zhang, Wen Zhao |
| 2025 | ICASSP | A Triangular Stable Node Network based on Self-supervised Learning for personalized prediction. | Qing Liu, Qian Gao, Jun Fan, Zhiqiang Zhang |
| 2025 | ICASSP | Symmetry and Fusion Data Augmentation for Semi-Supervised Medical Segmentation. | Yishan Zhang, Wenxin Yu, Zhiqiang Zhang, Jun Gong, Peng Chen, Chang Liu |
| 2025 | ICASSP | A Hierarchical Reasoning Framework for Complex Question Answering over Knowledge Graph with Reinforcement Learning. | Zhiqiang Zhang, Zhiyi Zhang, Yunxiao Zhang, Wen Zhao |
| 2025 | ICASSP | Context-Aware Multi-Scale Polyp Segmentation Network. | Jinyao Zhou, Wenxin Yu, Zhiqiang Zhang, Jun Gong, Peng Chen, Chang Liu |
| 2025 | ICDE | Effectively PAIRing LLMs with Online Marketing via Progressive Prompting Augmentation. | Chunjing Gan, Dan Yang, Binbin Hu, Ziqi Liu, Yue Shen, Zhiqiang Zhang, Jinjie Gu, Jun Zhou, Guannan Zhang |
| 2025 | ICML | 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 |
| 2025 | IJCNN | KAN-RCBEVDepth: Integrating Multi-modal Sensor Data for Robust 3D Object Detection in Autonomous Driving. | Zhihao Lai, Mingsheng Ren, Shihui Sheng, Chuanhao Liu, Zhiqiang Zhang |
| 2025 | IROS | Physics-Embedded Neural Networks for sEMG-based Continuous Motion Estimation. | Wending Heng, Chaoyuan Liang, Yihui Zhao, Zhiqiang Zhang, Glen Cooper, Zhenhong Li |
| 2025 | KDD | GraphLAMA: Enabling Efficient Adaptation of Graph Language Models with Limited Annotations. | Junze Chen, Cheng Yang, Shujie Li, Zhiqiang Zhang, Yawen Li, Junping Du, Chuan Shi |
| 2025 | KDD | Enhanced Insurance Claim Prediction via Decoupled Graph Neural Networks with Pseudo Labeling. | Hongrui Liu, Daixin Wang, Yifan Wu, Zhiqiang Zhang, Xiaobo Qin |
| 2025 | KDD | FLAG: Fraud Detection with LLM-enhanced Graph Neural Network. | Chengdong Yang, Hongrui Liu, Daixin Wang, Zhiqiang Zhang, Cheng Yang, Chuan Shi |
| 2025 | KDD | Stable Representation Learning on Graphs from Multiple Environments with Structure Distribution Shift. | Tong Zhao, Daixin Wang, Zhiqiang Zhang, Yulin Kang, Jun Zhou |
| 2025 | NAACL | NOTA: Multimodal Music Notation Understanding for Visual Large Language Model. | Mingni Tang, Jiajia Li, Lu Yang, Zhiqiang Zhang, Jinhao Tian, Zuchao Li, Lefei Zhang, Ping Wang |
| 2025 | WWW | Retrieve, Summarize, Plan: Advancing Multi-hop Question Answering with an Iterative Approach. | Zhouyu Jiang, Mengshu Sun, Lei Liang, Zhiqiang Zhang |
| 2025 | WWW | KAG: Boosting LLMs in Professional Domains via Knowledge Augmented Generation. | Lei Liang, Zhongpu Bo, Zhengke Gui, Zhongshu Zhu, Ling Zhong, Peilong Zhao, Mengshu Sun, Zhiqiang Zhang, Jun Zhou, Wenguang Chen, Wen Zhang, Huajun Chen |
| 2025 | WWW | IceBerg: Debiased Self-Training for Class-Imbalanced Node Classification. | Zhixun Li, Dingshuo Chen, Tong Zhao, Daixin Wang, Hongrui Liu, Zhiqiang Zhang, Jun Zhou, Jeffrey Xu Yu |
| 2025 | WWW | OneKE: A Dockerized Schema-Guided LLM Agent-based Knowledge Extraction System. | Yujie Luo, Xiangyuan Ru, Kangwei Liu, Lin Yuan, Mengshu Sun, Ningyu Zhang, Lei Liang, Zhiqiang Zhang, Jun Zhou, Lanning Wei, Da Zheng, Haofen Wang, Huajun Chen |
| 2025 | WWW | MAQInstruct: Instruction-based Unified Event Relation Extraction. | Jun Xu, Mengshu Sun, Zhiqiang Zhang, Jun Zhou |
| 2025 | WSDM | Graph Disentangle Causal Model: Enhancing Causal Inference in Networked Observational Data. | Binbin Hu, Zhicheng An, Zhengwei Wu, Ke Tu, Ziqi Liu, Zhiqiang Zhang, Jun Zhou, Yufei Feng, Jiawei Chen |
| 2024 | AAAI | 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 |
| 2024 | AAAI | Structural Information Enhanced Graph Representation for Link Prediction. | Lei Shi, Bin Hu, Deng Zhao, Jianshan He, Zhiqiang Zhang, Jun Zhou |
| 2024 | ACL | Efficient Knowledge Infusion via KG-LLM Alignment. | Zhouyu Jiang, Ling Zhong, Mengshu Sun, Jun Xu, Rui Sun, Hui Cai, Shuhan Luo, Zhiqiang Zhang |
| 2024 | APWEB | Deep Sarcasm Detection with Sememe and Syntax Knowledge. | Zhiqiang Zhang, Jiajun Shan, Haiyan Wu, Yanhong Chen, Jinxun Jiang, Weijie Wang |
| 2024 | CIKM | To Explore or Exploit? A Gradient-informed Framework to Address the Feedback Loop for Graph based Recommendation. | Zhigang Huangfu, Binbin Hu, Zhengwei Wu, Fengyu Han, Gong-Duo Zhang, Lihong Gu, Zhiqiang Zhang |
| 2024 | CIKM | Time-Sensitve Retrieval-Augmented Generation for Question Answering. | Feifan Wu, Lingyuan Liu, Wentao He, Ziqi Liu, Zhiqiang Zhang, Haofen Wang, Meng Wang |
| 2024 | CIKM | Multi-view Temporal Knowledge Graph Reasoning. | Fuwei Zhang, Zhao Zhang, Fuzhen Zhuang, Zhiqiang Zhang, Jun Zhou, Deqing Wang |
| 2024 | CIKM | A GAIL Fine-Tuned LLM Enhanced Framework for Low-Resource Knowledge Graph Question Answering. | Zhiqiang Zhang, Liqiang Wen, Wen Zhao |
| 2024 | COLING | Zero-Shot Cross-Lingual Document-Level Event Causality Identification with Heterogeneous Graph Contrastive Transfer Learning. | Zhitao He, Pengfei Cao, Zhuoran Jin, Yubo Chen, Kang Liu, Zhiqiang Zhang, Mengshu Sun, Jun Zhao |
| 2024 | COLING | ChatUIE: Exploring Chat-based Unified Information Extraction Using Large Language Models. | Jun Xu, Mengshu Sun, Zhiqiang Zhang, Jun Zhou |
| 2024 | COLING | Continual Few-shot Event Detection via Hierarchical Augmentation Networks. | Chenlong Zhang, Pengfei Cao, Yubo Chen, Kang Liu, Zhiqiang Zhang, Mengshu Sun, Jun Zhao |
| 2024 | DASFAA | Granola: Graph Neural Network Tackling Tabular Data for Online Loan Default Prediction. | Borui Ye, Shuo Yang, Meiqi Zhu, Binbin Hu, Daixin Wang, Zhiqiang Zhang, Youqiang He, Zhiyang Hu, Huimei He, Jun Zhou |
| 2024 | EMNLP | Knowledge-augmented Financial Market Analysis and Report Generation. | Yuemin Chen, Feifan Wu, Jingwei Wang, Hao Qian, Ziqi Liu, Zhiqiang Zhang, Jun Zhou, Meng Wang |
| 2024 | EMNLP | Learning to Plan for Retrieval-Augmented Large Language Models from Knowledge Graphs. | Junjie Wang, Mingyang Chen, Binbin Hu, Dan Yang, Ziqi Liu, Yue Shen, Peng Wei, Zhiqiang Zhang, Jinjie Gu, Jun Zhou, Jeff Z. Pan, Wen Zhang, Huajun Chen |
| 2024 | EMNLP | OneGen: Efficient One-Pass Unified Generation and Retrieval for LLMs. | Jintian Zhang, Cheng Peng, Mengshu Sun, Xiang Chen, Lei Liang, Zhiqiang Zhang, Jun Zhou, Huajun Chen, Ningyu Zhang |
| 2024 | ICASSP | Similarity Knowledge Distillation with Calibrated Mask. | Qi Wang, Wenxin Yu, Lu Che, Chang Liu, Zhiqiang Zhang, Jun Gong, Peng Chen |
| 2024 | ICML | 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 |
| 2024 | ICONIP | ADERec: Adaptive Data Augmentation Sequence Recommendation Based on Dual Network Architecture. | Zhipeng Wang, Jun Fan, Qian Gao, Zhiqiang Zhang |
| 2024 | IJCNN | Multivariate Long Sequence Time Series Forecasting Based on Robust Spatiotemporal Attention. | Dandan Zhang, Zhiqiang Zhang, Yun Wang |
| 2024 | ISCAS | Decoupled Multi-teacher Knowledge Distillation based on Entropy. | Xin Cheng, Jialiang Tang, Zhiqiang Zhang, Wenxin Yu, Ning Jiang, Jinjia Zhou |
| 2024 | ISCAS | An Attention Network With Self-Supervised Learning for Rheumatoid Arthritis Scoring. | Deyu Ling, Wenxin Yu, Zhiqiang Zhang, Jinmei Zou |
| 2024 | ISCAS | Axial Attention Transformer for Fast High-quality Image Style Transfer. | Yuxin Liu, Wenxin Yu, Zhiqiang Zhang, Qi Wang, Lu Che |
| 2024 | KDD | DDCDR: A Disentangle-based Distillation Framework for Cross-Domain Recommendation. | Zhicheng An, Zhexu Gu, Li Yu, Ke Tu, Zhengwei Wu, Binbin Hu, Zhiqiang Zhang, Lihong Gu, Jinjie Gu |
| 2024 | KDD | Towards Automatic Evaluation for LLMs' Clinical Capabilities: Metric, Data, and Algorithm. | Lei Liu, Xiaoyan Yang, Fangzhou Li, Chenfei Chi, Yue Shen, Shiwei Lyu, Ming Zhang, Xiaowei Ma, Xiangguo Lv, Liya Ma, Zhiqiang Zhang, Wei Xue, Yiran Huang, Jinjie Gu |
| 2024 | KDD | Non-autoregressive Generative Models for Reranking Recommendation. | Yuxin Ren, Qiya Yang, Yichun Wu, Wei Xu, Yalong Wang, Zhiqiang Zhang |
| 2024 | KDD | Optimizing Long-tailed Link Prediction in Graph Neural Networks through Structure Representation Enhancement. | Yakun Wang, Daixin Wang, Hongrui Liu, Binbin Hu, Yingcui Yan, Qiyang Zhang, Zhiqiang Zhang |
| 2024 | RecSys | ReLand: Integrating Large Language Models' Insights into Industrial Recommenders via a Controllable Reasoning Pool. | Changxin Tian, Binbin Hu, Chunjing Gan, Haoyu Chen, Zhuo Zhang, Li Yu, Ziqi Liu, Zhiqiang Zhang, Jun Zhou, Jiawei Chen |
| 2024 | WWW | Exploiting Associations among Multi-Aspect Node Properties in Heterogeneous Graphs for Link Prediction. | Chenguang Du, Hao Geng, Deqing Wang, Fuzhen Zhuang, Zhiqiang Zhang, Lanshan Zhang |
| 2024 | WWW | Can Small Language Models be Good Reasoners for Sequential Recommendation? | Yuling Wang, Changxin Tian, Binbin Hu, Yanhua Yu, Ziqi Liu, Zhiqiang Zhang, Jun Zhou, Liang Pang, Xiao Wang |
| 2024 | WWW | Leave No One Behind: Online Self-Supervised Self-Distillation for Sequential Recommendation. | Shaowei Wei, Zhengwei Wu, Xin Li, Qintong Wu, Zhiqiang Zhang, Jun Zhou, Lihong Gu, Jinjie Gu |
| 2024 | WWW | Calibrating Graph Neural Networks from a Data-centric Perspective. | Cheng Yang, Chengdong Yang, Chuan Shi, Yawen Li, Zhiqiang Zhang, Jun Zhou |
| 2024 | UAI | Neighbor Similarity and Multimodal Alignment based Product Recommendation Study. | Zhiqiang Zhang, Yongqiang Jiang, Qian Gao, Zhipeng Wang |
| 2024 | VLDB | OneEdit: A Neural-Symbolic Collaboratively Knowledge Editing System. | Ningyu Zhang, Zekun Xi, Yujie Luo, Peng Wang, Bozhong Tian, Yunzhi Yao, Jintian Zhang, Shumin Deng, Mengshu Sun, Lei Liang, Zhiqiang Zhang, Xiaowei Zhu, Jun Zhou, Huajun Chen |
| 2024 | SiggraphA | Motion-Driven Neural Optimizer for Prophylactic Braces Made by Distributed Microstructures. | Xingjian Han, Yu Jiang, Weiming Wang, Guoxin Fang, Simeon Gill, Zhiqiang Zhang, Shengfa Wang, Jun Saito, Deepak Kumar, Zhongxuan Luo, Emily Whiting, Charlie C. L. Wang |
| 2024 | WSDM | PEACE: Prototype lEarning Augmented transferable framework for Cross-domain rEcommendation. | Chunjing Gan, Bo Huang, Binbin Hu, Jian Ma, Zhiqiang Zhang, Jun Zhou, Guannan Zhang, Wenliang Zhong |
| 2024 | WSDM | Not All Negatives Are Worth Attending to: Meta-Bootstrapping Negative Sampling Framework for Link Prediction. | Yakun Wang, Binbin Hu, Shuo Yang, Meiqi Zhu, Zhiqiang Zhang, Qiyang Zhang, Jun Zhou, Guo Ye, Huimei He |
| 2023 | CIKM | Periodicity May Be Emanative: Hierarchical Contrastive Learning for Sequential Recommendation. | Changxin Tian, Binbin Hu, Wayne Xin Zhao, Zhiqiang Zhang, Jun Zhou |
| 2023 | CIKM | Disentangled Interest importance aware Knowledge Graph Neural Network for Fund Recommendation. | Ke Tu, Wei Qu, Zhengwei Wu, Zhiqiang Zhang, Zhongyi Liu, Yiming Zhao, Le Wu, Jun Zhou, Guannan Zhang |
| 2023 | CVPR | 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 |
| 2023 | DASFAA | Unsupervised Fraud Transaction Detection on Dynamic Attributed Networks. | Yangyang Hou, Daixin Wang, Binbin Hu, Ruoyu Zhuang, Zhiqiang Zhang, Jun Zhou, Feng Zhao, Yulin Kang, Zhanwen Qiao |
| 2023 | DASFAA | A Scalable Social Recommendation Framework with Decoupled Graph Neural Network. | Ke Tu, Zhengwei Wu, Binbin Hu, Zhiqiang Zhang, Peng Cui, Xiaolong Li, Jun Zhou |
| 2023 | ESORICS | Item-Oriented Personalized LDP for Discrete Distribution Estimation. | Xin Li, Hong Zhu, Zhiqiang Zhang, Meiyi Xie |
| 2023 | ICDE | GARCIA: Powering Representations of Long-tail Query with Multi-granularity Contrastive Learning. | Weifan Wang, Binbin Hu, Zhicheng Peng, Mingjie Zhong, Zhiqiang Zhang, Zhongyi Liu, Guannan Zhang, Jun Zhou |
| 2023 | ICDE | Who Would be Interested in Services? An Entity Graph Learning System for User Targeting. | Dan Yang, Binbin Hu, Xiaoyan Yang, Yue Shen, Zhiqiang Zhang, Jinjie Gu, Guannan Zhang |
| 2023 | ICDE | InferTurbo: A Scalable System for Boosting Full-graph Inference of Graph Neural Network over Huge Graphs. | Dalong Zhang, Xianzheng Song, Zhiyang Hu, Yang Li, Miao Tao, Binbin Hu, Lin Wang, Zhiqiang Zhang, Jun Zhou |
| 2023 | ICIP | BATINeT: Background-Aware Text to Image Synthesis and Manipulation Network. | Ryugo Morita, Zhiqiang Zhang, Jinjia Zhou |
| 2023 | ICIP | Dynamic Unilateral Dual Learning for Text to Image Synthesis. | Zhiqiang Zhang, Jiayao Xu, Ryugo Morita, Wenxin Yu, Jinjia Zhou |
| 2023 | ICONIP | Text to Image Generation with Conformer-GAN. | Zhiyu Deng, Wenxin Yu, Lu Che, Shiyu Chen, Zhiqiang Zhang, Jun Shang, Peng Chen, Jun Gong |
| 2023 | ICONIP | Text-to-Image Synthesis with Threshold-Equipped Matching-Aware GAN. | Jun Shang, Wenxin Yu, Lu Che, Zhiqiang Zhang, Hongjie Cai, Zhiyu Deng, Jun Gong, Peng Chen |
| 2023 | ICONIP | Multi-view Consistency View Synthesis. | Xiaodi Wu, Zhiqiang Zhang, Wenxin Yu, Shiyu Chen, Yufei Gao, Peng Chen, Jun Gong |
| 2023 | ICONIP | Depth Normalized Stable View Synthesis. | Xiaodi Wu, Zhiqiang Zhang, Wenxin Yu, Shiyu Chen, Yufei Gao, Peng Chen, Jun Gong |
| 2023 | ICONIP | Image Inpainting with Semantic U-Transformer. | Lingfan Yuan, Wenxin Yu, Lu Che, Zhiqiang Zhang, Shiyu Chen, Lu Liu, Peng Chen |
| 2023 | IROS | Interpretable Motion Planner for Urban Driving via Hierarchical Imitation Learning. | Bikun Wang, Zhipeng Wang, Chenhao Zhu, Zhiqiang Zhang, Zhichen Wang, Penghong Lin, Jingchu Liu, Qian Zhang |
| 2023 | KDD | Financial Default Prediction via Motif-preserving Graph Neural Network with Curriculum Learning. | Daixin Wang, Zhiqiang Zhang, Yeyu Zhao, Kai Huang, Yulin Kang, Jun Zhou |
| 2023 | KDD | Commonsense Knowledge Graph towards Super APP and Its Applications in Alipay. | Xiaoling Zang, Binbin Hu, Jun Chu, Zhiqiang Zhang, Guannan Zhang, Jun Zhou, Wenliang Zhong |
| 2023 | WWW | Improving Recommendation Fairness via Data Augmentation. | Lei Chen, Le Wu, Kun Zhang, Richang Hong, Defu Lian, Zhiqiang Zhang, Jun Zhou, Meng Wang |
| 2023 | WWW | Movie Ticket, Popcorn, and Another Movie Next Weekend: Time-Aware Service Sequential Recommendation for User Retention. | Xiaoyan Yang, Dong Wang, Binbin Hu, Dan Yang, Yue Shen, Jinjie Gu, Zhiqiang Zhang, Shiwei Lyu, Haipeng Zhang, Guannan Zhang |
| 2023 | WWW | Graph Neural Network with Two Uplift Estimators for Label-Scarcity Individual Uplift Modeling. | Dingyuan Zhu, Daixin Wang, Zhiqiang Zhang, Kun Kuang, Yan Zhang, Yulin Kang, Jun Zhou |
| 2023 | SIGIR | Which Matters Most in Making Fund Investment Decisions? A Multi-granularity Graph Disentangled Learning Framework. | Chunjing Gan, Binbin Hu, Bo Huang, Tianyu Zhao, Yingru Lin, Wenliang Zhong, Zhiqiang Zhang, Jun Zhou, Chuan Shi |
| 2023 | SIGIR | COUPA: An Industrial Recommender System for Online to Offline Service Platforms. | Sicong Xie, Binbin Hu, Fengze Li, Ziqi Liu, Zhiqiang Zhang, Wenliang Zhong, Jun Zhou |
| 2023 | SIGIR | Generative-Contrastive Graph Learning for Recommendation. | Yonghui Yang, Zhengwei Wu, Le Wu, Kun Zhang, Richang Hong, Zhiqiang Zhang, Jun Zhou, Meng Wang |
| 2023 | WACV | Interactive Image Manipulation with Complex Text Instructions. | Ryugo Morita, Zhiqiang Zhang, Man M. Ho, Jinjia Zhou |
| 2023 | WSDM | AntTS: A Toolkit for Time Series Forecasting in Industrial Scenarios. | Jianping Wei, Zhibo Zhu, Ziqi Liu, Zhiqiang Zhang, Jun Zhou |
| 2022 | AAAI | Regularizing Graph Neural Networks via Consistency-Diversity Graph Augmentations. | Deyu Bo, Binbin Hu, Xiao Wang, Zhiqiang Zhang, Chuan Shi, Jun Zhou |
| 2022 | AAAI | Robust Heterogeneous Graph Neural Networks against Adversarial Attacks. | Mengmei Zhang, Xiao Wang, Meiqi Zhu, Chuan Shi, Zhiqiang Zhang, Jun Zhou |
| 2022 | CIKM | FwSeqBlock: A Field-wise Approach for Modeling Behavior Representation in Sequential Recommendation. | Hao Qian, Qintong Wu, Minghao Li, Zhengwei Wu, Zhiqiang Zhang, Jun Zhou, Lihong Gu, Jinjie Gu |
| 2022 | BSN | CCA-based Spatio-temporal Filtering for Enhancing SSVEP Detection. | Yue Zhang, Sheng Quan Xie, Zhenhong Li, Yihui Zhao, Kun Qian, Zhiqiang Zhang |
| 2022 | ICDE | Intent Mining: A Social and Semantic Enhanced Topic Model for Operation-Friendly Digital Marketing. | Weifan Wang, Xiaocheng Cheng, Ziqi Liu, Yu Lin, Yue Shen, Binbin Hu, Zhiqiang Zhang, Xiaodong Zeng, Jun Zhou, Jinjie Gu, Minnan Luo |
| 2022 | ICDE | Gaia: Graph Neural Network with Temporal Shift aware Attention for Gross Merchandise Value Forecast in E-commerce. | Borui Ye, Shuo Yang, Binbin Hu, Zhiqiang Zhang, Youqiang He, Kai Huang, Jun Zhou, Yanming Fang |
| 2022 | ICONIP | A Recurrent Point Clouds Selection Method for 3D Dense Captioning. | Shinko Hayashi, Zhiqiang Zhang, Jinja Zhou |
| 2022 | ICONIP | FPD: Feature Pyramid Knowledge Distillation. | Qi Wang, Lu Liu, Wenxin Yu, Zhiqiang Zhang, Yuxin Liu, Shiyu Cheng, Xuewen Zhang, Jun Gong |
| 2022 | IJCAI | MERIT: Learning Multi-level Representations on Temporal Graphs. | Binbin Hu, Zhengwei Wu, Jun Zhou, Ziqi Liu, Zhigang Huangfu, Zhiqiang Zhang, Chaochao Chen |
| 2022 | ISCAS | Music to Dance: Motion Generation Based on Multi-Feature Fusion Strategy. | Yufei Gao, Wenxin Yu, Xuewen Zhang, Xin Deng, Zhiqiang Zhang |
| 2022 | KDD | A Graph Learning Based Framework for Billion-Scale Offline User Identification. | Daixin Wang, Zujian Weng, Zhengwei Wu, Zhiqiang Zhang, Peng Cui, Hongwei Zhao, Jun Zhou |
| 2022 | MMM | Real-Time FPGA Design for OMP Targeting 8K Image Reconstruction. | Jiayao Xu, Chen Fu, Zhiqiang Zhang, Jinjia Zhou |
| 2022 | MMSP | Optimizing CABAC architecture with prediction based context model prefetching. | Chen Fu, Heming Sun, Jiayao Xu, Zhiqiang Zhang, Jinjia Zhou |
| 2022 | PRICAI | Mixture of Graph Enhanced Expert Networks for Multi-task Recommendation. | Binbin Hu, Bin Shen, Ruize Wu, Zhiqiang Zhang, Yuetian Cao, Yong He, Liang Zhang, Linjian Mo, Jun Zhou |
| 2022 | WWW | A Multi-Task Learning Approach for Delayed Feedback Modeling. | Zhigang Huangfu, Gongduo Zhang, Zhengwei Wu, Qintong Wu, Zhiqiang Zhang, Lihong Gu, Jun Zhou, Jinjie Gu |
| 2022 | WWW | Confidence May Cheat: Self-Training on Graph Neural Networks under Distribution Shift. | Hongrui Liu, Binbin Hu, Xiao Wang, Chuan Shi, Zhiqiang Zhang, Jun Zhou |
| 2022 | SIGIR | CORE: Simple and Effective Session-based Recommendation within Consistent Representation Space. | Yupeng Hou, Binbin Hu, Zhiqiang Zhang, Wayne Xin Zhao |
| 2022 | VCIP | On Pre-chewing Compression Degradation for Learned Video Compression. | Man M. Ho, Heming Sun, Zhiqiang Zhang, Jinjia Zhou |
| 2022 | WSDM | Scope-aware Re-ranking with Gated Attention in Feed. | Hao Qian, Qintong Wu, Kai Zhang, Zhiqiang Zhang, Lihong Gu, Xiaodong Zeng, Jun Zhou, Jinjie Gu |
| 2022 | SDM | Neural Graph Matching for Pre-training Graph Neural Networks. | Yupeng Hou, Binbin Hu, Wayne Xin Zhao, Zhiqiang Zhang, Jun Zhou, Ji-Rong Wen |
| 2021 | AAAI | Efficient Optimal Selection for Composited Advertising Creatives with Tree Structure. | Jin Chen, Tiezheng Ge, Gangwei Jiang, Zhiqiang Zhang, Defu Lian, Kai Zheng |
| 2021 | AAAI | 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 |
| 2021 | APWEB | A Graph Attention Network Model for GMV Forecast on Online Shopping Festival. | Qianyu Yu, Shuo Yang, Zhiqiang Zhang, Ya-Lin Zhang, Binbin Hu, Ziqi Liu, Kai Huang, Xingyu Zhong, Jun Zhou, Yanming Fang |
| 2021 | CIKM | Learning Representations of Inactive Users: A Cross Domain Approach with Graph Neural Networks. | Ziqi Liu, Yue Shen, Xiaocheng Cheng, Qiang Li, Jianping Wei, Zhiqiang Zhang, Dong Wang, Xiaodong Zeng, Jinjie Gu, Jun Zhou |
| 2021 | CIKM | Conditional Graph Attention Networks for Distilling and Refining Knowledge Graphs in Recommendation. | Ke Tu, Peng Cui, Daixin Wang, Zhiqiang Zhang, Jun Zhou, Yuan Qi, Wenwu Zhu |
| 2021 | CIKM | Low-dimensional Alignment for Cross-Domain Recommendation. | Tianxin Wang, Fuzhen Zhuang, Zhiqiang Zhang, Daixin Wang, Jun Zhou, Qing He |
| 2021 | CIKM | Counterfactual Review-based Recommendation. | Kun Xiong, Wenwen Ye, Xu Chen, Yongfeng Zhang, Wayne Xin Zhao, Binbin Hu, Zhiqiang Zhang, Jun Zhou |
| 2021 | CIKM | SIFN: A Sentiment-aware Interactive Fusion Network for Review-based Item Recommendation. | Kai Zhang, Hao Qian, Qi Liu, Zhiqiang Zhang, Jun Zhou, Jianhui Ma, Enhong Chen |
| 2021 | DASFAA | LinkLouvain: Link-Aware A/B Testing and Its Application on Online Marketing Campaign. | Tianchi Cai, Daxi Cheng, Chen Liang, Ziqi Liu, Lihong Gu, Huizhi Xie, Zhiqiang Zhang, Xiaodong Zeng, Jinjie Gu |
| 2021 | ICANN | A Progressive Image Inpainting Algorithm with a Mask Auto-update Branch. | Liang Nie, Wenxin Yu, Xuewen Zhang, Siyuan Li, Ning Jiang, Zhiqiang Zhang |
| 2021 | ICASSP | Drawgan: Text to Image Synthesis with Drawing Generative Adversarial Networks. | Zhiqiang Zhang, Jinjia Zhou, Wenxin Yu, Ning Jiang |
| 2021 | BSN | Multi-Objective Optimisation for SSVEP Detection. | Yue Zhang, Zhiqiang Zhang, Shengquan Xie |
| 2021 | ICDE | IntelliTag: An Intelligent Cloud Customer Service System Based on Tag Recommendation. | Minghui Yang, Shaosheng Cao, Binbin Hu, Xianling Chen, Hengbin Cui, Zhiqiang Zhang, Jun Zhou, Xiaolong Li |
| 2021 | ICIG | Individual-Specific Connectome Fingerprint Based Classification of Temporal Lobe Epilepsy. | Yao Meng, Jinming Xiao, Siqi Yang, Qiang Xu, Zhiqiang Zhang, Wei Liao |
| 2021 | ICIP | Text To Image Synthesis With Erudite Generative Adversarial Networks. | Zhiqiang Zhang, Wenxin Yu, Ning Jiang, Jinjia Zhou |
| 2021 | ICONIP | SCAN: Spatial and Channel Attention Normalization for Image Inpainting. | Shiyu Chen, Wenxin Yu, Liang Nie, Xuewen Zhang, Siyuan Li, Zhiqiang Zhang, Jun Gong |
| 2021 | ICONIP | Progressive Inpainting Strategy with Partial Convolutions Generative Networks (PPCGN). | Liang Nie, Wenxin Yu, Siyuan Li, Zhiqiang Zhang, Ning Jiang, Xuewen Zhang, Jun Gong |
| 2021 | ICONIP | Free-Form Image Inpainting with Separable Gate Encoder-Decoder Network. | Liang Nie, Wenxin Yu, Xuewen Zhang, Siyuan Li, Shiyu Chen, Zhiqiang Zhang, Jun Gong |
| 2021 | ICONIP | Transformer with Prior Language Knowledge for Image Captioning. | Daisong Yan, Wenxin Yu, Zhiqiang Zhang, Jun Gong |
| 2021 | ICONIP | Deep Learning Based Placement Acceleration for 3D-ICs. | Wenxin Yu, Xin Cheng, Zhiqiang Zhang, Jun Gong |
| 2021 | ICONIP | Semi-supervised Learning with Conditional GANs for Blind Generated Image Quality Assessment. | Xuewen Zhang, Yunye Zhang, Wenxin Yu, Liang Nie, Zhiqiang Zhang, Shiyu Chen, Jun Gong |
| 2021 | IJCAI | 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 |
| 2021 | ICRA | Robust Iterative Learning Control for Pneumatic Muscle with State Constraint and Model Uncertainty. | Kun Qian, Zhenhong Li, Ahmed Asker, Zhiqiang Zhang, Shengquan Xie |
| 2021 | IJCNN | Text to Image Synthesis based on Multi - Perspective Fusion. | Zhiqiang Zhang, Chen Fu, Jinjia Zhou, Wenxin Yu, Ning Jiang |
| 2021 | IJCNN | Author Name Disambiguation Using Multiple Graph Attention Networks. | Zhiqiang Zhang, Chunqi Wu, Zhao Li, Juanjuan Peng, Haiyan Wu, Haiyu Song, Shengchun Deng, Biao Wang |
| 2021 | ICRA | A Direct Collocation method for optimization of EMG-driven wrist muscle musculoskeletal model. | Yihui Zhao, Zhenhong Li, Zhiqiang Zhang, Ahmed Asker, Sheng Quan Xie |
| 2021 | ISCAS | SPS: A Subjective Perception Score for Text-to-Image Synthesis. | Xuewen Zhang, Wenxin Yu, Ning Jiang, Yunye Zhang, Zhiqiang Zhang |
| 2021 | MICCAI | Diagnosis of Hippocampal Sclerosis from Clinical Routine Head MR Images Using Structure-constrained Super-Resolution Network. | Zehong Cao, Feng Shi, Qiang Xu, Gaoping Liu, Tianyang Sun, Xiaodan Xing, Yichu He, Guangming Lu, Zhiqiang Zhang, Dinggang Shen |
| 2021 | MICCAI | Triplet-Branch Network with Prior-Knowledge Embedding for Fatigue Fracture Grading. | Yuexiang Li, Yanping Wang, Guang Lin, Yi Lin, Dong Wei, Qirui Zhang, Kai Ma, Guangming Lu, Zhiqiang Zhang, Yefeng Zheng |
| 2021 | WWW | Automated Creative Optimization for E-Commerce Advertising. | Jin Chen, Ju Xu, Gangwei Jiang, Tiezheng Ge, Zhiqiang Zhang, Defu Lian, Kai Zheng |
| 2021 | WWW | A Hybrid Bandit Model with Visual Priors for Creative Ranking in Display Advertising. | Shiyao Wang, Qi Liu, Tiezheng Ge, Defu Lian, Zhiqiang Zhang |
| 2021 | SDM | Temporal-Aware Graph Neural Network for Credit Risk Prediction. | Daixin Wang, Zhiqiang Zhang, Jun Zhou, Peng Cui, Jingli Fang, Quanhui Jia, Yanming Fang, Yuan Qi |
| 2020 | AAAI | Progressive Feature Polishing Network for Salient Object Detection. | Bo Wang, Quan Chen, Min Zhou, Zhiqiang Zhang, Xiaogang Jin, Kun Gai |
| 2020 | BMVC | Real-Time Semantic Segmentation via Multiply Spatial Fusion Network. | Haiyang Si, Zhiqiang Zhang, Feng Lu |
| 2020 | CIKM | Loan Default Analysis with Multiplex Graph Learning. | Binbin Hu, Zhiqiang Zhang, Jun Zhou, Jingli Fang, Quanhui Jia, Yanming Fang, Quan Yu, Yuan Qi |
| 2020 | CIKM | EasyGML: A Fully-functional and Easy-to-use Platform for Industrial Graph Machine Learning. | Zhiqiang Zhang, Jun Zhou, Chuan Shi |
| 2020 | EMNLP | Selection and Generation: Learning towards Multi-Product Advertisement Post Generation. | Zhangming Chan, Yuchi Zhang, Xiuying Chen, Shen Gao, Zhiqiang Zhang, Dongyan Zhao, Rui Yan |
| 2020 | ICIP | Interactive Separation Network For Image Inpainting. | Siyuan Li, Lu Lu, Zhiqiang Zhang, Xin Cheng, Kepeng Xu, Wenxin Yu, Gang He, Jinjia Zhou, Zhuo Yang |
| 2020 | ICONIP | Search-and-Train: Two-Stage Model Compression and Acceleration. | Ning Jiang, Jialiang Tang, Zhiqiang Zhang, Wenxin Yu, Xin Deng, Jinjia Zhou |
| 2020 | ICONIP | Customizable GAN: Customizable Image Synthesis Based on Adversarial Learning. | Zhiqiang Zhang, Wenxin Yu, Jinjia Zhou, Xuewen Zhang, Jialiang Tang, Siyuan Li, Ning Jiang, Gang He, Gang He, Zhuo Yang |
| 2020 | ICONIP | No-Reference Quality Assessment Based on Spatial Statistic for Generated Images. | Yunye Zhang, Xuewen Zhang, Zhiqiang Zhang, Wenxin Yu, Ning Jiang, Gang He |
| 2020 | ICONIP | Deep Feature Compatibility for Generated Images Quality Assessment. | Xuewen Zhang, Yunye Zhang, Zhiqiang Zhang, Wenxin Yu, Ning Jiang, Gang He |
| 2020 | IJCAI | 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 |
| 2020 | KDD | Hubble: An Industrial System for Audience Expansion in Mobile Marketing. | Chenyi Zhuang, Ziqi Liu, Zhiqiang Zhang, Yize Tan, Zhengwei Wu, Zhining Liu, Jianping Wei, Jinjie Gu, Guannan Zhang, Jun Zhou, Yuan Qi |
| 2020 | SIGIR | ATBRG: Adaptive Target-Behavior Relational Graph Network for Effective Recommendation. | Yufei Feng, Binbin Hu, Fuyu Lv, Qingwen Liu, Zhiqiang Zhang, Wenwu Ou |
| 2019 | AAAI | 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 |
| 2019 | CIKM | Graph Representation Learning for Merchant Incentive Optimization in Mobile Payment Marketing. | Ziqi Liu, Dong Wang, Qianyu Yu, Zhiqiang Zhang, Yue Shen, Jian Ma, Wenliang Zhong, Jinjie Gu, Jun Zhou, Shuang Yang, Yuan Qi |
| 2019 | EMNLP | Stick to the Facts: Learning towards a Fidelity-oriented E-Commerce Product Description Generation. | Zhangming Chan, Xiuying Chen, Yongliang Wang, Juntao Li, Zhiqiang Zhang, Kun Gai, Dongyan Zhao, Rui Yan |
| 2019 | ICANN | Text to Image Synthesis Based on Multiple Discrimination. | Zhiqiang Zhang, Yunye Zhang, Wenxin Yu, Jingwei Lu, Li Nie, Gang He, Ning Jiang, Gang He, Yibo Fan, Zhuo Yang |
| 2019 | ICASSP | Improve Diverse Text Generation by Self Labeling Conditional Variational Auto Encoder. | Yuchi Zhang, Yongliang Wang, Liping Zhang, Zhiqiang Zhang, Kun Gai |
| 2019 | BSN | Surface-EMG based Wrist Kinematics Estimation using Convolutional Neural Network. | Tianzhe Bao, Syed Ali Raza Zaidi, Sheng Quan Xie, Zhiqiang Zhang |
| 2019 | BSN | Upper Limb Muscle Force Estimation During Table Tennis Strokes. | Yiming Guo, Yingfei Sun, Yi Ren, Zhipei Huang, Jiankang Wu, Zhiqiang Zhang |
| 2019 | ICONIP | Target-Based Attention Model for Aspect-Level Sentiment Analysis. | Wei Chen, Wenxin Yu, Zhiqiang Zhang, Yunye Zhang, Kepeng Xu, Fengwei Zhang, Yibo Fan, Gang He, Zhuo Yang |
| 2019 | ICONIP | IRSNET: An Inception-Resnet Feature Reconstruction Model for Building Segmentation. | Kepeng Xu, Li Nie, Zhiqiang Zhang, Wenxin Yu, Yunye Zhang, Wei Chen, Siyuan Li, Xinxin Zhou, Shangwei Deng, Pengfei Yu, Yibo Fan, Hui Zhang, Valentin Bouillon |
| 2019 | ICONIP | Dense Image Captioning Based on Precise Feature Extraction. | Zhiqiang Zhang, Yunye Zhang, Yan Shi, Wenxin Yu, Li Nie, Gang He, Yibo Fan, Zhuo Yang |
| 2019 | IWCMC | A Multidimensional Reputation Evaluation Model for Mobile Crowd Sensing. | Deyu Lin, Quan Wang, Pengfei Yang, Zhiqiang Zhang |
| 2019 | KSEM | Text to Image Synthesis Using Two-Stage Generation and Two-Stage Discrimination. | Zhiqiang Zhang, Yunye Zhang, Wenxin Yu, Gang He, Ning Jiang, Gang He, Yibo Fan, Zhuo Yang |
| 2018 | APWEB | Brain Disease Diagnosis Using Deep Learning Features from Longitudinal MR Images. | Linlin Gao, Haiwei Pan, Fujun Liu, Xiaoqin Xie, Zhiqiang Zhang, Jinming Han |
| 2018 | CIKM | Image Matters: Visually Modeling User Behaviors Using Advanced Model Server. | Tiezheng Ge, Liqin Zhao, Guorui Zhou, Keyu Chen, Shuying Liu, Huiming Yi, Zelin Hu, Bochao Liu, Peng Sun, Haoyu Liu, Pengtao Yi, Sui Huang, Zhiqiang Zhang, Xiaoqiang Zhu, Yu Zhang, Kun Gai |
| 2018 | CSCWD | A Graph Based Document Retrieval Method. | Zhiqiang Zhang, Linan Wang, Xiaoqin Xie, Haiwei Pan |
| 2018 | CSCWD | A k-NN Query Method Over Encrypted Data. | Zhiqiang Zhang, Lijie Xin, Xiaoqin Xie, Haiwei Pan |
| 2018 | CVPR | Cascaded Pyramid Network for Multi-Person Pose Estimation. | Yilun Chen, Zhicheng Wang, Yuxiang Peng, Zhiqiang Zhang, Gang Yu, Jian Sun |
| 2018 | DASFAA | An Industrial-Scale System for Heterogeneous Information Card Ranking in Alipay. | Zhiqiang Zhang, Chaochao Chen, Jun Zhou, Xiaolong Li |
| 2018 | ICONIP | Q Value-Based Dynamic Programming with Boltzmann Distribution by Using Neural Network. | Wenxin Yu, Liang Yu, Gang He, Yibo Fan, Gang He, Jiu Xu, Zhuo Yang, Zhiqiang Zhang |
| 2018 | ISNN | A Prediction Model for the Risk of Osteoporosis Fracture in the Elderly Based on a Neural Network. | Yong Wang, Zhiqiang Zhang, Nanchuan Cai, Yousheng Zhou, Di Xiao |
| 2018 | MDM | Frequent Pattern-Based Map-Matching on Low Sampling Rate Trajectories. | Yukun Huang, Weixiong Rao, Zhiqiang Zhang, Peng Zhao, Mingxuan Yuan, Jia Zeng |
| 2018 | SENSYS | Frequent Pattern-based Trajectory Completion. | Zhiqiang Zhang, Weixiong Rao, Xiaolei Di, Peng Zhao, Xiaofeng Xu, Fehmi Ben Abdesslem |
| 2018 | UIC | Adaptive Optimization Design of Vector Error Diffusion Algorithm and IP Core for FPGA. | Pengfei Yang, Quan Wang, Tao Guo, Wei Li, Zhiqiang Zhang |
| 2018 | SOFTCOM | A Fuzzy-logic Based Energy-efficient Clustering Algorithm for the Wireless Sensor Networks. | Quan Wang, Deyu Lin, Pengfei Yang, Zhiqiang Zhang |
| 2017 | CCGRID | mD3DOCKxb: An Ultra-Scalable CPU-MIC Coordinated Virtual Screening Framework. | Shaoliang Peng, Xiaoyu Zhang, Shunyun Yang, Wenhe Su, Zhiqiang Zhang, Dong Dong, Kai Lu, Yutong Lu, Xiangke Liao, Bertil Schmidt, Weiliang Zhu, Kuan-Ching Li |
| 2017 | GLOBECOM | Power Allocation in HetNets with Hybrid Energy Supply Using Actor-Critic Reinforcement Learning. | Yifei Wei, Zhiqiang Zhang, F. Richard Yu, Zhu Han |
| 2016 | APWEB | A Topic-Specific Contextual Expert Finding Method in Social Network. | Xiaoqin Xie, Yijia Li, Zhiqiang Zhang, Haiwei Pan, Shuai Han |
| 2016 | BIBE | Simple and Robust Ideal Mid-Sagittal Line (iML) Extraction Method for Brain CT Images. | Wenbo Li, Haiwei Pan, Xiaoqin Xie, Zhiqiang Zhang, Qilong Han |
| 2016 | CSCWD | An online approximate aggregation query processing method based on Hadoop. | Zhiqiang Zhang, Jianghua Hu, Xiaoqin Xie, Haiwei Pan, Xiaoning Feng |
| 2016 | BSN | Beat-to-beat ambulatory blood pressure estimation based on random forest. | Rui He, Zhipei Huang, Lianying Ji, Jian-Kang Wu, Huihui Li, Zhiqiang Zhang |
| 2016 | BSN | Blind source separation and artefact cancellation for single channel bioelectrical signal. | Zhiqiang Zhang, Huihui Li, Danilo P. Mandic |
| 2016 | INDIN | An online performance monitoring method for analog circuit. | Aihua Zhang, Kailun Huang, Xing Huo, Zhiqiang Zhang |
| 2016 | RecSys | RecExp: A Semantic Recommender System with Explanation Based on Heterogeneous Information Network. | Jiawei Hu, Zhiqiang Zhang, Jian Liu, Chuan Shi, Philip S. Yu, Bai Wang |
| 2015 | CIKM | Semantic Path based Personalized Recommendation on Weighted Heterogeneous Information Networks. | Chuan Shi, Zhiqiang Zhang, Ping Luo, Philip S. Yu, Yading Yue, Bin Wu |
| 2015 | GLOBECOM | Self-Coded Distributed Space-Time Coding for Two-Way Full-Duplex Relay Networks. | Yi Liu, Xiang-Gen Xia, Zhiqiang Zhang, Hailin Zhang |
| 2015 | BSN | In situ sensor-to-segment calibration for whole body motion capture. | Krittameth Teachasrisaksakul, Zhiqiang Zhang, Guang-Zhong Yang |
| 2015 | BSN | Monitoring cardio-respiratory and posture movements during sleep: What can be achieved by a single motion sensor. | Zhiqiang Zhang, Guang-Zhong Yang |
| 2015 | IECON | Analysis of nonlinear oscillation of four-quadrant converter in high-speed trians based on discrete model. | Qiaona Lian, Fei Lin, Wei Shi, Zhongping Yang, Hu Sun, Jinghai Jiao, Zhiqiang Zhang |
| 2015 | ISSRE | Boundary value analysis in automatic white-box test generation. | Zhiqiang Zhang, Tianyong Wu, Jian Zhang |
| 2014 | CIS | A Parking Guidance Method Based on Parallel Particle Swarm Optimization Algorithm. | Bin Wang, Ying Liu, Xinhong Hei, Lei Wang, Zhiqiang Zhang |
| 2014 | BSN | The Use of BSN for Whole Body Motion Training for a Humanoid Robot. | Krittameth Teachasrisaksakul, Zhiqiang Zhang, Guang-Zhong Yang |
| 2013 | BSN | Demo abstract: Upper limb motion imitation module for humanoid robot using biomotion+ sensors. | Krittameth Teachasrisaksakul, Zhiqiang Zhang, Guang-Zhong Yang |
| 2013 | BSN | Multi-person vision-based head detector for markerless human motion capture. | Charence Wong, Zhiqiang Zhang, Stephen McKeague, Guang-Zhong Yang |
| 2013 | BSN | Forearm functional movement recognition using spare channel surface electromyography. | Zhiqiang Zhang, Charence Wong, Guang-Zhong Yang |
| 2013 | ICALT | A Tool for Visualizing Topic Evolution in Large Text Collections. | Feipeng Sun, Yanyan Li, Zhiqiang Zhang |
| 2013 | IROS | Snake robot shape sensing using micro-inertial sensors. | Zhiqiang Zhang, Jianzhong Shang, Carlo Seneci, Guang-Zhong Yang |
| 2013 | ICST | Cascade: A Test Generation Tool for Combinatorial Testing. | Yong Zhao, Zhiqiang Zhang, Jun Yan, Jian Zhang |
| 2013 | ISNN | Information Transfer Characteristic in Memristic Neuromorphic Network. | Quansheng Ren, Qiufeng Long, Zhiqiang Zhang, Jianye Zhao |
| 2012 | FUSION | Displacement estimation for different gait patterns in micro-sensor motion capture. | Xiaoli Meng, Guanhong Tao, Zhiqiang Zhang, Shuyan Sun, Jiankang Wu, Wai-Choong Wong |
| 2012 | BSN | Motion Reconstruction from Sparse Accelerometer Data Using PLSR. | Charence Wong, Zhiqiang Zhang, Richard Kwasnicki, Jindong Liu, Guang-Zhong Yang |
| 2012 | IROS | Deformable structure from motion by fusing visual and inertial measurement data. | Stamatia Giannarou, Zhiqiang Zhang, Guang-Zhong Yang |
| 2012 | ICST | Combinatorial Testing on ID3v2 Tags of MP3 Files. | Zhiqiang Zhang, Xiaojian Liu, Jian Zhang |
| 2012 | PDCAT | An Improved Ant Colony Optimization Algorithm for Permutation Flowshop Scheduling to Minimize Makespan. | Zhiqiang Zhang, Jing Zhang |
| 2012 | SAT | Faulty Interaction Identification via Constraint Solving and Optimization. | Jian Zhang, Feifei Ma, Zhiqiang Zhang |
| 2011 | BSN | Human Back Movement Analysis Using BSN. | Zhiqiang Zhang, Julien Pansiot, Benny P. L. Lo, Guang-Zhong Yang |
| 2011 | ISSTA | Characterizing failure-causing parameter interactions by adaptive testing. | Zhiqiang Zhang, Jian Zhang |
| 2010 | CDVE | Team Organization and Web-Based Project Management for Collaborative Highway Design. | Zhiqiang Zhang, Xiaodong Zhang, Yingzi Li, Cancan Zhao |
| 2010 | HPCC | A New Keywords Method to Improve Web Search. | Chongchong Zhao, Zhiqiang Zhang, Xiaoqin Xie, Tingting Liang |
| 2010 | BSN | 3D Upper Limb Motion Modeling and Estimation Using Wearable Micro-sensors. | Zhiqiang Zhang, Lawrence W. C. Wong, Jian-Kang Wu |
| 2009 | CDVE | A Synthetic Subjective Preference Model for Collaborative Design Partners Selection. | Xiaodong Zhang, Zhiqiang Zhang, Yingzi Li |
| 2009 | FUSION | Hierarchical information fusion for human upper limb motion capture. | Zhiqiang Zhang, Zhipei Huang, Jiankang Wu |
| 2009 | ISNN | Estimation of Rock Mass Rating System with an Artificial Neural Network. | Zhiqiang Zhang, Qingming Wu, Qiang Zhang, Zhi Chao Gong |
| 2009 | PERCOM | Ubiquitous Human Motion Capture using Wearable Micro-sensors. | Zhiqiang Zhang |
| 2009 | PERCOM | Ubiquitous Human Body Motion Capture using Micro-sensors. | Zhiqiang Zhang, Zheng Wu, Jiang Chen, Jian-Kang Wu |
| 2009 | SMC | Signature-Driven Multiple Visual Target Tracking. | Shuyan Sun, Zhipei Huang, Sheng Jiang, Jiankang Wu, Zhiqiang Zhang |
| 2008 | ISKE | Study on SOA-based architecture of product collaborative design system for mass customization. | Zhiqiang Zhang, Qingming Wu, Chao Zhou, Qiang Zhang |
| 2008 | SMC | Wearable sensors for realtime accurate hip angle estimation. | Zhiqiang Zhang, Jiankang Wu, Zhipei Huang |
| 2007 | CSCWD | Organization Evaluation of Product Development Process Using Agent Based Simulation. | Xiaodong Zhang, Zhiqiang Zhang, Le Luo, Shuangyue Duan |
| 2007 | FUSION | Moving targets detection and localization in passive infrared sensor networks. | Zhiqiang Zhang, Xuebin Gao, Jit Biswas, Jian-Kang Wu |
| 2007 | ICNC | An Improved Algorithm for Eleman Neural Network to Avoid the Local Minima Problem. | Zhiqiang Zhang, GuoFeng Tang, Zheng Tang |
| 2007 | IGARSS | Research on dynamic evolvement of desertification in beijing and its neighboring areas by remote sensing. | Dan Meng, Zhiqiang Zhang, Tao Yang, Huili Gong, Wenji Zhao, Xiaojuan Li, Zhaoning Gong, Yanhui Wang, Zhuowei Hu, Yonghua Sun |
| 2007 | ISNN | An Improved Algorithm for Eleman Neural Network by Adding a Modified Error Function. | Zhiqiang Zhang, Zheng Tang, GuoFeng Tang, Catherine Vairappan, XuGang Wang, Runqun Xiong |
| 2005 | DASFAA | Schema Driven and Topic Specific Web Crawling. | Qi Guo, Hang Guo, Zhiqiang Zhang, Jing Sun, Jianhua Feng |
| 2005 | IGARSS | Application of remote sensing to study of landslide. | Zhiqiang Zhang, Huili Gong, Wenji Zhao, Youquan Zhang |
| 2005 | IGARSS | Using DEM to quantify spatial variability of soil storage capacity: a semi-distributed hydrological model for Northern China. | Qiang Zhao, Huili Gong, Wei Deng, Shangyi Wang, Wenji Zhao, Xiangsheng An, Zhaoning Gong, Zhiqiang Zhang |
| 2004 | APWEB | A Highly Adaptable Web Information Extractor Using Graph Data Model. | Qi Guo, Lizhu Zhou, Zhiqiang Zhang, Jianhua Feng |
| 2004 | ISNN | Ram Velocity Control in Plastic Injection Molding Machines with Neural Network Learning Control. | Gaoxiang Ouyang, Xiaoli Li, Xinping Guan, Zhiqiang Zhang, Xiuling Zhang, Ruxu Du |
| 2003 | AINA | An Ontology-Based Method for Querying the Web Data. | Zhiqiang Zhang, Chunxiao Xing, Lizhu Zhou, Jianhua Feng |
| 2002 | SMC | Association-based recommendation of Web information. | Shuying Pang, Mingyu Lu, Binggeng He, Zhiqiang Zhang |