Zhiqiang Zhang

197 papers A* 43A 26Journal 97Unranked 31

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	APL-LLM: adaptive pseudo-labeling with large language models for few-shot node classification. Frontiers Comput. Sci. Junyi Li, Chenweinan Jiang, Daixin Wang, Guo Ye, Libang Zhang, Huimei He, Binbin Hu, Zhiqiang Zhang, Fuzhen Zhuang
2026	J	`jnl`	ExpertWeaver: Unlocking the Inherent MoE in Dense LLMs with GLU Activation Patterns. CoRR Ziyu Zhao, Tong Zhu, Zhiqiang Zhang, Tiantian Fan, Jinluan Yang, Kun Kuang, Zhongyu Wei, Fei Wu, Yu Cheng
2026	J	`jnl`	Hierarchical agent reflection for aligning LLM reasoning with clinical diagnostic processes. Health Inf. Sci. Syst. Xinda Wang, Xiaotong Li, Deng Zhao, Kehua Feng, Lei Liang, Zhiqiang Zhang, Keyan Ding, Huajun Chen, Bo Wan, Qiang Zhang
2026	A	`conf`	LookAhead Tuning: Safer Language Models via Partial Answer Previews. WSDM Kangwei Liu, Mengru Wang, Yujie Luo, Lin Yuan, Mengshu Sun, Lei Liang, Zhiqiang Zhang, Jun Zhou, Bryan Hooi, Shumin Deng
2026	J	`jnl`	MergeMix: Optimizing Mid-Training Data Mixtures via Learnable Model Merging. CoRR Jiapeng Wang, Changxin Tian, Kunlong Chen, Ziqi Liu, Jiaxin Mao, Wayne Xin Zhao, Zhiqiang Zhang, Jun Zhou
2026	—	`conf`	RV-Syn: Rational and Verifiable Mathematical Reasoning Data Synthesis based on Structured Function Library. EACL (Findings) Jiapeng Wang, Jinhao Jiang, Zhiqiang Zhang, Jun Zhou, Xin Zhao
2026	A*	`conf`	Token-level Collaborative Alignment for LLM-based Generative Recommendation. WWW Fake Lin, Binbin Hu, Zhi Zheng, Xi Zhu, Ziqi Liu, Zhiqiang Zhang, Jun Zhou, Tong Xu
2026	J	`jnl`	Token-level Collaborative Alignment for LLM-based Generative Recommendation. CoRR Fake Lin, Binbin Hu, Zhi Zheng, Xi Zhu, Ziqi Liu, Zhiqiang Zhang, Jun Zhou, Tong Xu
2026	J	`jnl`	When Sharpening Becomes Collapse: Sampling Bias and Semantic Coupling in RL with Verifiable Rewards. CoRR Mingyuan Fan, Weiguang Han, Daixin Wang, Cen Chen, Zhiqiang Zhang, Jun Zhou
2025	J	`jnl`	Adaptive Client Sampling in Federated Learning via Online Learning with Bandit Feedback. J. Mach. Learn. Res. Boxin Zhao, Lingxiao Wang, Ziqi Liu, Zhiqiang Zhang, Jun Zhou, Chaochao Chen, Mladen Kolar
2025	A	`conf`	Arrows of Math Reasoning Data Synthesis for Large Language Models: Diversity, Complexity and Correctness. CIKM Sirui Chen, Changxin Tian, Binbin Hu, Kunlong Chen, Ziqi Liu, Zhiqiang Zhang, Jun Zhou
2025	J	`jnl`	Arrows of Math Reasoning Data Synthesis for Large Language Models: Diversity, Complexity and Correctness. CoRR Sirui Chen, Changxin Tian, Binbin Hu, Kunlong Chen, Ziqi Liu, Zhiqiang Zhang, Jun Zhou
2025	J	`jnl`	Bi'an: A Bilingual Benchmark and Model for Hallucination Detection in Retrieval-Augmented Generation. CoRR Zhouyu Jiang, Mengshu Sun, Zhiqiang Zhang, Lei Liang
2025	A*	`conf`	Effectively PAIRing LLMs with Online Marketing via Progressive Prompting Augmentation. ICDE Chunjing Gan, Dan Yang, Binbin Hu, Ziqi Liu, Yue Shen, Zhiqiang Zhang, Jinjie Gu, Jun Zhou, Guannan Zhang
2025	—	`conf`	Enhanced Insurance Claim Prediction via Decoupled Graph Neural Networks with Pseudo Labeling. KDD (2) Hongrui Liu, Daixin Wang, Yifan Wu, Zhiqiang Zhang, Xiaobo Qin
2025	J	`jnl`	Enhancing Cross-task Transfer of Large Language Models via Activation Steering. CoRR Xinyu Tang, Zhihao Lv, Xiaoxue Cheng, Junyi Li, Wayne Xin Zhao, Zujie Wen, Zhiqiang Zhang, Jun Zhou
2025	J	`jnl`	Enhancing LLM Tool Use with High-quality Instruction Data from Knowledge Graph. CoRR Jingwei Wang, Zai Zhang, Hao Qian, Chunjing Gan, Binbin Hu, Ziqi Liu, Zhiqiang Zhang, Jun Zhou, Bin Shi, Bo Dong
2025	A*	`conf`	Explore What LLM Does Not Know in Complex Question Answering. AAAI Xin Lin, Zhenya Huang, Zhiqiang Zhang, Jun Zhou, Enhong Chen
2025	—	`conf`	FLAG: Fraud Detection with LLM-enhanced Graph Neural Network. KDD (2) Chengdong Yang, Hongrui Liu, Daixin Wang, Zhiqiang Zhang, Cheng Yang, Chuan Shi
2025	A	`conf`	Graph Disentangle Causal Model: Enhancing Causal Inference in Networked Observational Data. WSDM Binbin Hu, Zhicheng An, Zhengwei Wu, Ke Tu, Ziqi Liu, Zhiqiang Zhang, Jun Zhou, Yufei Feng, Jiawei Chen
2025	—	`conf`	GraphLAMA: Enabling Efficient Adaptation of Graph Language Models with Limited Annotations. KDD (2) Junze Chen, Cheng Yang, Shujie Li, Zhiqiang Zhang, Yawen Li, Junping Du, Chuan Shi
2025	J	`jnl`	GraphLAMA: Enabling Efficient Adaptation of Graph Language Models with Limited Annotations. CoRR Junze Chen, Cheng Yang, Shujie Li, Zhiqiang Zhang, Yawen Li, Junping Du, Chuan Shi
2025	—	`conf`	Have We Designed Generalizable Structural Knowledge Promptings? Systematic Evaluation and Rethinking. ACL (1) Yichi Zhang, Zhuo Chen, Lingbing Guo, Yajing Xu, Shaokai Chen, Mengshu Sun, Binbin Hu, Zhiqiang Zhang, Lei Liang, Wen Zhang, Huajun Chen
2025	J	`jnl`	Have We Designed Generalizable Structural Knowledge Promptings? Systematic Evaluation and Rethinking. CoRR Yichi Zhang, Zhuo Chen, Lingbing Guo, Yajing Xu, Shaokai Chen, Mengshu Sun, Binbin Hu, Zhiqiang Zhang, Lei Liang, Wen Zhang, Huajun Chen
2025	A*	`conf`	IceBerg: Debiased Self-Training for Class-Imbalanced Node Classification. WWW Zhixun Li, Dingshuo Chen, Tong Zhao, Daixin Wang, Hongrui Liu, Zhiqiang Zhang, Jun Zhou, Jeffrey Xu Yu
2025	J	`jnl`	IceBerg: Debiased Self-Training for Class-Imbalanced Node Classification. CoRR Zhixun Li, Dingshuo Chen, Tong Zhao, Daixin Wang, Hongrui Liu, Zhiqiang Zhang, Jun Zhou, Jeffrey Xu Yu
2025	J	`jnl`	Incentivizing Dual Process Thinking for Efficient Large Language Model Reasoning. CoRR Xiaoxue Cheng, Junyi Li, Zhenduo Zhang, Xinyu Tang, Wayne Xin Zhao, Xinyu Kong, Zhiqiang Zhang
2025	J	`jnl`	K-ON: Stacking Knowledge On the Head Layer of Large Language Model. CoRR Lingbing Guo, Yichi Zhang, Zhongpu Bo, Zhuo Chen, Mengshu Sun, Zhiqiang Zhang, Wen Zhang, Huajun Chen
2025	A*	`conf`	K-ON: Stacking Knowledge on the Head Layer of Large Language Model. AAAI Lingbing Guo, Yichi Zhang, Zhongpu Bo, Zhuo Chen, Mengshu Sun, Zhiqiang Zhang, Wen Zhang, Huajun Chen
2025	—	`conf`	KAG: Boosting LLMs in Professional Domains via Knowledge Augmented Generation. WWW (Companion Volume) 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	J	`jnl`	LookAhead Tuning: Safer Language Models via Partial Answer Previews. CoRR Kangwei Liu, Mengru Wang, Yujie Luo, Lin Yuan, Mengshu Sun, Ningyu Zhang, Lei Liang, Zhiqiang Zhang, Jun Zhou, Huajun Chen
2025	—	`conf`	MAQInstruct: Instruction-based Unified Event Relation Extraction. WWW (Companion Volume) Jun Xu, Mengshu Sun, Zhiqiang Zhang, Jun Zhou
2025	A*	`conf`	MASS: Mathematical Data Selection via Skill Graphs for Pretraining Large Language Models. ICML Jiazheng Li, Lu Yu, Qing Cui, Zhiqiang Zhang, Jun Zhou, Yanfang Ye, Chuxu Zhang
2025	J	`jnl`	MASS: Mathematical Data Selection via Skill Graphs for Pretraining Large Language Models. CoRR Jiazheng Li, Lu Yu, Qing Cui, Zhiqiang Zhang, Jun Zhou, Yanfang Ye, Chuxu Zhang
2025	J	`jnl`	MaP: A Unified Framework for Reliable Evaluation of Pre-training Dynamics. CoRR Jiapeng Wang, Changxin Tian, Kunlong Chen, Ziqi Liu, Jiaxin Mao, Wayne Xin Zhao, Zhiqiang Zhang, Jun Zhou
2025	J	`jnl`	Mix Data or Merge Models? Balancing the Helpfulness, Honesty, and Harmlessness of Large Language Model via Model Merging. CoRR Jinluan Yang, Dingnan Jin, Anke Tang, Li Shen, Didi Zhu, Zhengyu Chen, Daixin Wang, Qing Cui, Zhiqiang Zhang, Jun Zhou, Fei Wu, Kun Kuang
2025	—	`conf`	OneKE: A Dockerized Schema-Guided LLM Agent-based Knowledge Extraction System. WWW (Companion Volume) 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	J	`jnl`	POLYRAG: Integrating Polyviews into Retrieval-Augmented Generation for Medical Applications. CoRR Chunjing Gan, Dan Yang, Binbin Hu, Ziqi Liu, Yue Shen, Zhiqiang Zhang, Jian Wang, Jun Zhou
2025	J	`jnl`	RV-Syn: Rational and Verifiable Mathematical Reasoning Data Synthesis based on Structured Function Library. CoRR Jiapeng Wang, Jinhao Jiang, Zhiqiang Zhang, Jun Zhou, Wayne Xin Zhao
2025	J	`jnl`	Recommendations for Inactive Users: a Cross Domain Approach with Graph Neural Networks. Int. J. Mach. Learn. Cybern. Jun Zhou, Ziqi Liu, Meijuan Tan, Xiangyu Meng, Xiaocheng Cheng, Jianping Wei, Zhiqiang Zhang, Fengyuan Yu, Chaochao Chen, Jianwei Yin
2025	J	`jnl`	Rethinking Sample Polarity in Reinforcement Learning with Verifiable Rewards. CoRR Xinyu Tang, Yuliang Zhan, Zhixun Li, Wayne Xin Zhao, Zhenduo Zhang, Zujie Wen, Zhiqiang Zhang, Jun Zhou
2025	—	`conf`	Retrieve, Summarize, Plan: Advancing Multi-hop Question Answering with an Iterative Approach. WWW (Companion Volume) Zhouyu Jiang, Mengshu Sun, Lei Liang, Zhiqiang Zhang
2025	J	`jnl`	SHARP: Synthesizing High-quality Aligned Reasoning Problems for Large Reasoning Models Reinforcement Learning. CoRR Xiong Jun Wu, Zhenduo Zhang, Zujie Wen, Zhiqiang Zhang, Wang Ren, Lei Shi, Cai Chen, Deng Zhao, Qing Wang, Xudong Han, Chengfu Tang, Dingnan Jin, Qing Cui, Jun Zhou
2025	J	`jnl`	SciCUEval: A Comprehensive Dataset for Evaluating Scientific Context Understanding in Large Language Models. CoRR Jing Yu, Yuqi Tang, Kehua Feng, Mingyang Rao, Lei Liang, Zhiqiang Zhang, Mengshu Sun, Wen Zhang, Qiang Zhang, Keyan Ding, Huajun Chen
2025	A*	`conf`	Smoothness Really Matters: A Simple Yet Effective Approach for Unsupervised Graph Domain Adaptation. AAAI Wei Chen, Guo Ye, Yakun Wang, Zhao Zhang, Libang Zhang, Daixin Wang, Zhiqiang Zhang, Fuzhen Zhuang
2025	—	`conf`	Stable Representation Learning on Graphs from Multiple Environments with Structure Distribution Shift. KDD (1) Tong Zhao, Daixin Wang, Zhiqiang Zhang, Yulin Kang, Jun Zhou
2025	J	`jnl`	Toward Stable and Consistent Evaluation Results: A New Methodology for Base Model Evaluation. CoRR Hongzhi Luan, Changxin Tian, Zhaoxin Huan, Xiaolu Zhang, Kunlong Chen, Zhiqiang Zhang, Jun Zhou
2025	J	`jnl`	Towards Greater Leverage: Scaling Laws for Efficient Mixture-of-Experts Language Models. CoRR Changxin Tian, Kunlong Chen, Jia Liu, Ziqi Liu, Zhiqiang Zhang, Jun Zhou
2025	J	`jnl`	Towards High Data Efficiency in Reinforcement Learning with Verifiable Reward. CoRR Xinyu Tang, Zhenduo Zhang, Yurou Liu, Wayne Xin Zhao, Zujie Wen, Zhiqiang Zhang, Jun Zhou
2025	—	`conf`	Unlocking General Long Chain-of-Thought Reasoning Capabilities of Large Language Models via Representation Engineering. ACL (1) Xinyu Tang, Xiaolei Wang, Zhihao Lv, Yingqian Min, Xin Zhao, Binbin Hu, Ziqi Liu, Zhiqiang Zhang
2025	J	`jnl`	Unlocking General Long Chain-of-Thought Reasoning Capabilities of Large Language Models via Representation Engineering. CoRR Xinyu Tang, Xiaolei Wang, Zhihao Lv, Yingqian Min, Wayne Xin Zhao, Binbin Hu, Ziqi Liu, Zhiqiang Zhang
2025	J	`jnl`	WSM: Decay-Free Learning Rate Schedule via Checkpoint Merging for LLM Pre-training. CoRR Changxin Tian, Jiapeng Wang, Qian Zhao, Kunlong Chen, Jia Liu, Ziqi Liu, Jiaxin Mao, Wayne Xin Zhao, Zhiqiang Zhang, Jun Zhou
2024	J	`jnl`	A Comprehensive Study of Knowledge Editing for Large Language Models. CoRR Ningyu Zhang, Yunzhi Yao, Bozhong Tian, Peng Wang, Shumin Deng, Mengru Wang, Zekun Xi, Shengyu Mao, Jintian Zhang, Yuansheng Ni, Siyuan Cheng, Ziwen Xu, Xin Xu, Jia-Chen Gu, Yong Jiang, Pengjun Xie, Fei Huang, Lei Liang, Zhiqiang Zhang, Xiaowei Zhu, Jun Zhou, Huajun Chen
2024	J	`jnl`	A Survey on Medical Large Language Models: Technology, Application, Trustworthiness, and Future Directions. CoRR Lei Liu, Xiaoyan Yang, Junchi Lei, Xiaoyang Liu, Yue Shen, Zhiqiang Zhang, Peng Wei, Jinjie Gu, Zhixuan Chu, Zhan Qin, Kui Ren
2024	—	`conf`	Adaptively Denoising Graph Neural Networks for Knowledge Distillation. ECML/PKDD (8) Yuxin Guo, Cheng Yang, Chuan Shi, Ke Tu, Zhengwei Wu, Zhiqiang Zhang, Jun Zhou
2024	A*	`conf`	Calibrating Graph Neural Networks from a Data-centric Perspective. WWW Cheng Yang, Chengdong Yang, Chuan Shi, Yawen Li, Zhiqiang Zhang, Jun Zhou
2024	A*	`conf`	Can Small Language Models be Good Reasoners for Sequential Recommendation? WWW Yuling Wang, Changxin Tian, Binbin Hu, Yanhua Yu, Ziqi Liu, Zhiqiang Zhang, Jun Zhou, Liang Pang, Xiao Wang
2024	J	`jnl`	Can Small Language Models be Good Reasoners for Sequential Recommendation? CoRR Yuling Wang, Changxin Tian, Binbin Hu, Yanhua Yu, Ziqi Liu, Zhiqiang Zhang, Jun Zhou, Liang Pang, Xiao Wang
2024	A*	`conf`	DDCDR: A Disentangle-based Distillation Framework for Cross-Domain Recommendation. KDD Zhicheng An, Zhexu Gu, Li Yu, Ke Tu, Zhengwei Wu, Binbin Hu, Zhiqiang Zhang, Lihong Gu, Jinjie Gu
2024	J	`jnl`	Description-Enhanced Label Embedding Contrastive Learning for Text Classification. IEEE Trans. Neural Networks Learn. Syst. Kun Zhang, Le Wu, Guangyi Lv, Enhong Chen, Shulan Ruan, Jing Liu, Zhiqiang Zhang, Jun Zhou, Meng Wang
2024	—	`conf`	Exploiting Associations among Multi-Aspect Node Properties in Heterogeneous Graphs for Link Prediction. WWW (Companion Volume) Chenguang Du, Hao Geng, Deqing Wang, Fuzhen Zhuang, Zhiqiang Zhang, Lanshan Zhang
2024	—	`conf`	Granola: Graph Neural Network Tackling Tabular Data for Online Loan Default Prediction. DASFAA (7) Borui Ye, Shuo Yang, Meiqi Zhu, Binbin Hu, Daixin Wang, Zhiqiang Zhang, Youqiang He, Zhiyang Hu, Huimei He, Jun Zhou
2024	J	`jnl`	Graph Disentangle Causal Model: Enhancing Causal Inference in Networked Observational Data. CoRR Binbin Hu, Zhicheng An, Zhengwei Wu, Ke Tu, Ziqi Liu, Zhiqiang Zhang, Jun Zhou, Yufei Feng, Jiawei Chen
2024	J	`jnl`	Graph Neural Network with Two Uplift Estimators for Label-Scarcity Individual Uplift Modeling. CoRR Dingyuan Zhu, Daixin Wang, Zhiqiang Zhang, Kun Kuang, Yan Zhang, Yulin Kang, Jun Zhou
2024	J	`jnl`	Hyperbolic Graph Learning for Social Recommendation. IEEE Trans. Knowl. Data Eng. Yonghui Yang, Le Wu, Kun Zhang, Richang Hong, Hailin Zhou, Zhiqiang Zhang, Jun Zhou, Meng Wang
2024	J	`jnl`	KAG: Boosting LLMs in Professional Domains via Knowledge Augmented Generation. CoRR Lei Liang, Mengshu Sun, Zhengke Gui, Zhongshu Zhu, Zhouyu Jiang, Ling Zhong, Yuan Qu, Peilong Zhao, Zhongpu Bo, Jin Yang, Huaidong Xiong, Lin Yuan, Jun Xu, Zaoyang Wang, Zhiqiang Zhang, Wen Zhang, Huajun Chen, Wenguang Chen, Jun Zhou
2024	J	`jnl`	Know Your Needs Better: Towards Structured Understanding of Marketer Demands with Analogical Reasoning Augmented LLMs. CoRR Junjie Wang, Dan Yang, Binbin Hu, Yue Shen, Ziqi Liu, Wen Zhang, Jinjie Gu, Zhiqiang Zhang
2024	—	`conf`	Knowledge-augmented Financial Market Analysis and Report Generation. EMNLP (Industry Track) Yuemin Chen, Feifan Wu, Jingwei Wang, Hao Qian, Ziqi Liu, Zhiqiang Zhang, Jun Zhou, Meng Wang
2024	—	`conf`	Learning to Plan for Retrieval-Augmented Large Language Models from Knowledge Graphs. EMNLP (Findings) 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	J	`jnl`	Learning to Plan for Retrieval-Augmented Large Language Models from Knowledge Graphs. CoRR 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	A*	`conf`	Leave No One Behind: Online Self-Supervised Self-Distillation for Sequential Recommendation. WWW Shaowei Wei, Zhengwei Wu, Xin Li, Qintong Wu, Zhiqiang Zhang, Jun Zhou, Lihong Gu, Jinjie Gu
2024	J	`jnl`	Leave No One Behind: Online Self-Supervised Self-Distillation for Sequential Recommendation. CoRR Shaowei Wei, Zhengwei Wu, Xin Li, Qintong Wu, Zhiqiang Zhang, Jun Zhou, Lihong Gu, Jinjie Gu
2024	A*	`conf`	MDGNN: Multi-Relational Dynamic Graph Neural Network for Comprehensive and Dynamic Stock Investment Prediction. AAAI Hao Qian, Hongting Zhou, Qian Zhao, Hao Chen, Hongxiang Yao, Jingwei Wang, Ziqi Liu, Fei Yu, Zhiqiang Zhang, Jun Zhou
2024	J	`jnl`	MDGNN: Multi-Relational Dynamic Graph Neural Network for Comprehensive and Dynamic Stock Investment Prediction. CoRR Hao Qian, Hongting Zhou, Qian Zhao, Hao Chen, Hongxiang Yao, Jingwei Wang, Ziqi Liu, Fei Yu, Zhiqiang Zhang, Jun Zhou
2024	A*	`conf`	MKGL: Mastery of a Three-Word Language. NeurIPS 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
2024	J	`jnl`	MKGL: Mastery of a Three-Word Language. CoRR 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
2024	J	`jnl`	Multi-domain Knowledge Graph Collaborative Pre-training and Prompt Tuning for Diverse Downstream Tasks. CoRR Yichi Zhang, Binbin Hu, Zhuo Chen, Lingbing Guo, Ziqi Liu, Zhiqiang Zhang, Lei Liang, Huajun Chen, Wen Zhang
2024	A	`conf`	Multi-view Temporal Knowledge Graph Reasoning. CIKM Fuwei Zhang, Zhao Zhang, Fuzhen Zhuang, Zhiqiang Zhang, Jun Zhou, Deqing Wang
2024	A	`conf`	Not All Negatives Are Worth Attending to: Meta-Bootstrapping Negative Sampling Framework for Link Prediction. WSDM Yakun Wang, Binbin Hu, Shuo Yang, Meiqi Zhu, Zhiqiang Zhang, Qiyang Zhang, Jun Zhou, Guo Ye, Huimei He
2024	—	`conf`	OneEdit: A Neural-Symbolic Collaboratively Knowledge Editing System. VLDB Workshops 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	J	`jnl`	OneEdit: A Neural-Symbolic Collaboratively Knowledge Editing System. CoRR 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	—	`conf`	OneGen: Efficient One-Pass Unified Generation and Retrieval for LLMs. EMNLP (Findings) Jintian Zhang, Cheng Peng, Mengshu Sun, Xiang Chen, Lei Liang, Zhiqiang Zhang, Jun Zhou, Huajun Chen, Ningyu Zhang
2024	J	`jnl`	OneGen: Efficient One-Pass Unified Generation and Retrieval for LLMs. CoRR Jintian Zhang, Cheng Peng, Mengshu Sun, Xiang Chen, Lei Liang, Zhiqiang Zhang, Jun Zhou, Huajun Chen, Ningyu Zhang
2024	J	`jnl`	OneKE: A Dockerized Schema-Guided LLM Agent-based Knowledge Extraction System. CoRR 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
2024	A*	`conf`	Optimizing Long-tailed Link Prediction in Graph Neural Networks through Structure Representation Enhancement. KDD Yakun Wang, Daixin Wang, Hongrui Liu, Binbin Hu, Yingcui Yan, Qiyang Zhang, Zhiqiang Zhang
2024	J	`jnl`	Optimizing Long-tailed Link Prediction in Graph Neural Networks through Structure Representation Enhancement. CoRR Yakun Wang, Daixin Wang, Hongrui Liu, Binbin Hu, Yingcui Yan, Qiyang Zhang, Zhiqiang Zhang
2024	A	`conf`	PEACE: Prototype lEarning Augmented transferable framework for Cross-domain rEcommendation. WSDM Chunjing Gan, Bo Huang, Binbin Hu, Jian Ma, Zhiqiang Zhang, Jun Zhou, Guannan Zhang, Wenliang Zhong
2024	J	`jnl`	Personalized Binomial DAGs Learning with Network Structured Covariates. CoRR Boxin Zhao, Weishi Wang, Dingyuan Zhu, Ziqi Liu, Dong Wang, Zhiqiang Zhang, Jun Zhou, Mladen Kolar
2024	A	`conf`	ReLand: Integrating Large Language Models' Insights into Industrial Recommenders via a Controllable Reasoning Pool. RecSys Changxin Tian, Binbin Hu, Chunjing Gan, Haoyu Chen, Zhuo Zhang, Li Yu, Ziqi Liu, Zhiqiang Zhang, Jun Zhou, Jiawei Chen
2024	J	`jnl`	Retrieve, Summarize, Plan: Advancing Multi-hop Question Answering with an Iterative Approach. CoRR Zhouyu Jiang, Mengshu Sun, Lei Liang, Zhiqiang Zhang
2024	J	`jnl`	Revisiting Adversarial Attacks on Graph Neural Networks for Graph Classification. IEEE Trans. Knowl. Data Eng. Xin Wang, Heng Chang, Beini Xie, Tian Bian, Shiji Zhou, Daixin Wang, Zhiqiang Zhang, Wenwu Zhu
2024	J	`jnl`	Similarity is Not All You Need: Endowing Retrieval Augmented Generation with Multi Layered Thoughts. CoRR Chunjing Gan, Dan Yang, Binbin Hu, Hanxiao Zhang, Siyuan Li, Ziqi Liu, Yue Shen, Lin Ju, Zhiqiang Zhang, Jinjie Gu, Lei Liang, Jun Zhou
2024	J	`jnl`	Smoothness Really Matters: A Simple Yet Effective Approach for Unsupervised Graph Domain Adaptation. CoRR Wei Chen, Guo Ye, Yakun Wang, Zhao Zhang, Libang Zhang, Daxin Wang, Zhiqiang Zhang, Fuzhen Zhuang
2024	A	`conf`	Time-Sensitve Retrieval-Augmented Generation for Question Answering. CIKM Feifan Wu, Lingyuan Liu, Wentao He, Ziqi Liu, Zhiqiang Zhang, Haofen Wang, Meng Wang
2024	A	`conf`	To Explore or Exploit? A Gradient-informed Framework to Address the Feedback Loop for Graph based Recommendation. CIKM Zhigang Huangfu, Binbin Hu, Zhengwei Wu, Fengyu Han, Gong-Duo Zhang, Lihong Gu, Zhiqiang Zhang
2024	A*	`conf`	Towards Automatic Evaluation for LLMs' Clinical Capabilities: Metric, Data, and Algorithm. KDD 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	J	`jnl`	Towards Automatic Evaluation for LLMs' Clinical Capabilities: Metric, Data, and Algorithm. CoRR Lei Liu, Xiaoyan Yang, Fangzhou Li, Chenfei Chi, Yue Shen, Shiwei Lyu, Ming Zhang, Xiaowei Ma, Xianguo Lyu, Liya Ma, Zhiqiang Zhang, Wei Xue, Yiran Huang, Jinjie Gu
2024	J	`jnl`	Your decision path does matter in pre-training industrial recommenders with multi-source behaviors. CoRR Chunjing Gan, Binbin Hu, Bo Huang, Ziqi Liu, Jian Ma, Zhiqiang Zhang, Wenliang Zhong, Jun Zhou
2023	—	`conf`	A Scalable Social Recommendation Framework with Decoupled Graph Neural Network. DASFAA (4) Ke Tu, Zhengwei Wu, Binbin Hu, Zhiqiang Zhang, Peng Cui, Xiaolong Li, Jun Zhou
2023	A*	`conf`	Adversarially Robust Neural Architecture Search for Graph Neural Networks. CVPR Beini Xie, Heng Chang, Ziwei Zhang, Xin Wang, Daixin Wang, Zhiqiang Zhang, Rex Ying, Wenwu Zhu
2023	J	`jnl`	Adversarially Robust Neural Architecture Search for Graph Neural Networks. CoRR Beini Xie, Heng Chang, Ziwei Zhang, Xin Wang, Daixin Wang, Zhiqiang Zhang, Rex Ying, Wenwu Zhu
2023	A	`conf`	AntTS: A Toolkit for Time Series Forecasting in Industrial Scenarios. WSDM Jianping Wei, Zhibo Zhu, Ziqi Liu, Zhiqiang Zhang, Jun Zhou
2023	—	`conf`	Boosting Adaptive Graph Augmented MLPs via Customized Knowledge Distillation. ECML/PKDD (3) Shaowei Wei, Zhengwei Wu, Zhiqiang Zhang, Jun Zhou
2023	A*	`conf`	COUPA: An Industrial Recommender System for Online to Offline Service Platforms. SIGIR Sicong Xie, Binbin Hu, Fengze Li, Ziqi Liu, Zhiqiang Zhang, Wenliang Zhong, Jun Zhou
2023	J	`jnl`	COUPA: An Industrial Recommender System for Online to Offline Service Platforms. CoRR Sicong Xie, Binbin Hu, Fengze Li, Ziqi Liu, Zhiqiang Zhang, Wenliang Zhong, Jun Zhou
2023	A*	`conf`	Commonsense Knowledge Graph towards Super APP and Its Applications in Alipay. KDD Xiaoling Zang, Binbin Hu, Jun Chu, Zhiqiang Zhang, Guannan Zhang, Jun Zhou, Wenliang Zhong
2023	J	`jnl`	Deep Tabular Data Modeling With Dual-Route Structure-Adaptive Graph Networks. IEEE Trans. Knowl. Data Eng. Qinghua Zheng, Zhen Peng, Zhuohang Dang, Linchao Zhu, Ziqi Liu, Zhiqiang Zhang, Jun Zhou
2023	J	`jnl`	Description-Enhanced Label Embedding Contrastive Learning for Text Classification. CoRR Kun Zhang, Le Wu, Guangyi Lv, Enhong Chen, Shulan Ruan, Jing Liu, Zhiqiang Zhang, Jun Zhou, Meng Wang
2023	A	`conf`	Disentangled Interest importance aware Knowledge Graph Neural Network for Fund Recommendation. CIKM Ke Tu, Wei Qu, Zhengwei Wu, Zhiqiang Zhang, Zhongyi Liu, Yiming Zhao, Le Wu, Jun Zhou, Guannan Zhang
2023	A*	`conf`	Financial Default Prediction via Motif-preserving Graph Neural Network with Curriculum Learning. KDD Daixin Wang, Zhiqiang Zhang, Yeyu Zhao, Kai Huang, Yulin Kang, Jun Zhou
2023	A*	`conf`	GARCIA: Powering Representations of Long-tail Query with Multi-granularity Contrastive Learning. ICDE Weifan Wang, Binbin Hu, Zhicheng Peng, Mingjie Zhong, Zhiqiang Zhang, Zhongyi Liu, Guannan Zhang, Jun Zhou
2023	J	`jnl`	GARCIA: Powering Representations of Long-tail Query with Multi-granularity Contrastive Learning. CoRR Weifan Wang, Binbin Hu, Zhicheng Peng, Mingjie Zhong, Zhiqiang Zhang, Zhongyi Liu, Guannan Zhang, Jun Zhou
2023	J	`jnl`	Generative Contrastive Graph Learning for Recommendation. CoRR Yonghui Yang, Zhengwei Wu, Le Wu, Kun Zhang, Richang Hong, Zhiqiang Zhang, Jun Zhou, Meng Wang
2023	A*	`conf`	Generative-Contrastive Graph Learning for Recommendation. SIGIR Yonghui Yang, Zhengwei Wu, Le Wu, Kun Zhang, Richang Hong, Zhiqiang Zhang, Jun Zhou, Meng Wang
2023	A*	`conf`	Graph Neural Network with Two Uplift Estimators for Label-Scarcity Individual Uplift Modeling. WWW Dingyuan Zhu, Daixin Wang, Zhiqiang Zhang, Kun Kuang, Yan Zhang, Yulin Kang, Jun Zhou
2023	A*	`conf`	Improving Recommendation Fairness via Data Augmentation. WWW Lei Chen, Le Wu, Kun Zhang, Richang Hong, Defu Lian, Zhiqiang Zhang, Jun Zhou, Meng Wang
2023	J	`jnl`	Improving Recommendation Fairness via Data Augmentation. CoRR Lei Chen, Le Wu, Kun Zhang, Richang Hong, Defu Lian, Zhiqiang Zhang, Jun Zhou, Meng Wang
2023	A*	`conf`	InferTurbo: A Scalable System for Boosting Full-graph Inference of Graph Neural Network over Huge Graphs. ICDE Dalong Zhang, Xianzheng Song, Zhiyang Hu, Yang Li, Miao Tao, Binbin Hu, Lin Wang, Zhiqiang Zhang, Jun Zhou
2023	J	`jnl`	InferTurbo: A Scalable System for Boosting Full-graph Inference of Graph Neural Network over Huge Graphs. CoRR Dalong Zhang, Xianzheng Song, Zhiyang Hu, Yang Li, Miao Tao, Binbin Hu, Lin Wang, Zhiqiang Zhang, Jun Zhou
2023	—	`conf`	Long-Tail Augmented Graph Contrastive Learning for Recommendation. ECML/PKDD (4) Qian Zhao, Zhengwei Wu, Zhiqiang Zhang, Jun Zhou
2023	J	`jnl`	Long-tail Augmented Graph Contrastive Learning for Recommendation. CoRR Qian Zhao, Zhengwei Wu, Zhiqiang Zhang, Jun Zhou
2023	J	`jnl`	Making Large Language Models Better Knowledge Miners for Online Marketing with Progressive Prompting Augmentation. CoRR Chunjing Gan, Dan Yang, Binbin Hu, Ziqi Liu, Yue Shen, Zhiqiang Zhang, Jinjie Gu, Jun Zhou, Guannan Zhang
2023	—	`conf`	Movie Ticket, Popcorn, and Another Movie Next Weekend: Time-Aware Service Sequential Recommendation for User Retention. WWW (Companion Volume) Xiaoyan Yang, Dong Wang, Binbin Hu, Dan Yang, Yue Shen, Jinjie Gu, Zhiqiang Zhang, Shiwei Lyu, Haipeng Zhang, Guannan Zhang
2023	J	`jnl`	Not All Negatives Are Worth Attending to: Meta-Bootstrapping Negative Sampling Framework for Link Prediction. CoRR Yakun Wang, Binbin Hu, Shuo Yang, Meiqi Zhu, Zhiqiang Zhang, Qiyang Zhang, Jun Zhou, Guo Ye, Huimei He
2023	J	`jnl`	PEACE: Prototype lEarning Augmented transferable framework for Cross-domain rEcommendation. CoRR Chunjing Gan, Bo Huang, Binbin Hu, Jian Ma, Ziqi Liu, Zhiqiang Zhang, Jun Zhou, Guannan Zhang, Wenliang Zhong
2023	A	`conf`	Periodicity May Be Emanative: Hierarchical Contrastive Learning for Sequential Recommendation. CIKM Changxin Tian, Binbin Hu, Wayne Xin Zhao, Zhiqiang Zhang, Jun Zhou
2023	J	`jnl`	RJUA-QA: A Comprehensive QA Dataset for Urology. CoRR Shiwei Lyu, Chenfei Chi, Hongbo Cai, Lei Shi, Xiaoyan Yang, Lei Liu, Xiang Chen, Deng Zhao, Zhiqiang Zhang, Xianguo Lyu, Ming Zhang, Fangzhou Li, Xiaowei Ma, Yue Shen, Jinjie Gu, Wei Xue, Yiran Huang
2023	J	`jnl`	Think-in-Memory: Recalling and Post-thinking Enable LLMs with Long-Term Memory. CoRR Lei Liu, Xiaoyan Yang, Yue Shen, Binbin Hu, Zhiqiang Zhang, Jinjie Gu, Guannan Zhang
2023	—	`conf`	Unsupervised Fraud Transaction Detection on Dynamic Attributed Networks. DASFAA (4) Yangyang Hou, Daixin Wang, Binbin Hu, Ruoyu Zhuang, Zhiqiang Zhang, Jun Zhou, Feng Zhao, Yulin Kang, Zhanwen Qiao
2023	A*	`conf`	Which Matters Most in Making Fund Investment Decisions? A Multi-granularity Graph Disentangled Learning Framework. SIGIR Chunjing Gan, Binbin Hu, Bo Huang, Tianyu Zhao, Yingru Lin, Wenliang Zhong, Zhiqiang Zhang, Jun Zhou, Chuan Shi
2023	J	`jnl`	Which Matters Most in Making Fund Investment Decisions? A Multi-granularity Graph Disentangled Learning Framework. CoRR Chunjing Gan, Binbin Hu, Bo Huang, Tianyu Zhao, Yingru Lin, Wenliang Zhong, Zhiqiang Zhang, Jun Zhou, Chuan Shi
2023	A*	`conf`	Who Would be Interested in Services? An Entity Graph Learning System for User Targeting. ICDE Dan Yang, Binbin Hu, Xiaoyan Yang, Yue Shen, Zhiqiang Zhang, Jinjie Gu, Guannan Zhang
2023	J	`jnl`	Who Would be Interested in Services? An Entity Graph Learning System for User Targeting. CoRR Dan Yang, Binbin Hu, Xiaoyan Yang, Yue Shen, Zhiqiang Zhang, Jinjie Gu, Guannan Zhang
2022	A*	`conf`	A Graph Learning Based Framework for Billion-Scale Offline User Identification. KDD Daixin Wang, Zujian Weng, Zhengwei Wu, Zhiqiang Zhang, Peng Cui, Hongwei Zhao, Jun Zhou
2022	—	`conf`	A Multi-Task Learning Approach for Delayed Feedback Modeling. WWW (Companion Volume) Zhigang Huangfu, Gongduo Zhang, Zhengwei Wu, Qintong Wu, Zhiqiang Zhang, Lihong Gu, Jun Zhou, Jinjie Gu
2022	J	`jnl`	An Effective Graph Learning based Approach for Temporal Link Prediction: The First Place of WSDM Cup 2022. CoRR Qian Zhao, Shuo Yang, Binbin Hu, Zhiqiang Zhang, Yakun Wang, Yusong Chen, Jun Zhou, Chuan Shi
2022	A*	`conf`	CORE: Simple and Effective Session-based Recommendation within Consistent Representation Space. SIGIR Yupeng Hou, Binbin Hu, Zhiqiang Zhang, Wayne Xin Zhao
2022	J	`jnl`	CORE: Simple and Effective Session-based Recommendation within Consistent Representation Space. CoRR Yupeng Hou, Binbin Hu, Zhiqiang Zhang, Wayne Xin Zhao
2022	A*	`conf`	Confidence May Cheat: Self-Training on Graph Neural Networks under Distribution Shift. WWW Hongrui Liu, Binbin Hu, Xiao Wang, Chuan Shi, Zhiqiang Zhang, Jun Zhou
2022	J	`jnl`	Confidence May Cheat: Self-Training on Graph Neural Networks under Distribution Shift. CoRR Hongrui Liu, Binbin Hu, Xiao Wang, Chuan Shi, Zhiqiang Zhang, Jun Zhou
2022	J	`jnl`	FinBrain 2.0: when finance meets trustworthy AI. Frontiers Inf. Technol. Electron. Eng. Jun Zhou, Chaochao Chen, Longfei Li, Zhiqiang Zhang, Xiaolin Zheng
2022	A	`conf`	FwSeqBlock: A Field-wise Approach for Modeling Behavior Representation in Sequential Recommendation. CIKM Hao Qian, Qintong Wu, Minghao Li, Zhengwei Wu, Zhiqiang Zhang, Jun Zhou, Lihong Gu, Jinjie Gu
2022	A*	`conf`	Gaia: Graph Neural Network with Temporal Shift aware Attention for Gross Merchandise Value Forecast in E-commerce. ICDE Borui Ye, Shuo Yang, Binbin Hu, Zhiqiang Zhang, Youqiang He, Kai Huang, Jun Zhou, Yanming Fang
2022	J	`jnl`	Gaia: Graph Neural Network with Temporal Shift aware Attention for Gross Merchandise Value Forecast in E-commerce. CoRR Borui Ye, Shuo Yang, Binbin Hu, Zhiqiang Zhang, Youqiang He, Kai Huang, Jun Zhou, Yanming Fang
2022	A*	`conf`	Intent Mining: A Social and Semantic Enhanced Topic Model for Operation-Friendly Digital Marketing. ICDE Weifan Wang, Xiaocheng Cheng, Ziqi Liu, Yu Lin, Yue Shen, Binbin Hu, Zhiqiang Zhang, Xiaodong Zeng, Jun Zhou, Jinjie Gu, Minnan Luo
2022	J	`jnl`	KGNN: Distributed Framework for Graph Neural Knowledge Representation. CoRR Binbin Hu, Zhiyang Hu, Zhiqiang Zhang, Jun Zhou, Chuan Shi
2022	A*	`conf`	MERIT: Learning Multi-level Representations on Temporal Graphs. IJCAI Binbin Hu, Zhengwei Wu, Jun Zhou, Ziqi Liu, Zhigang Huangfu, Zhiqiang Zhang, Chaochao Chen
2022	—	`conf`	Mixture of Graph Enhanced Expert Networks for Multi-task Recommendation. PRICAI (3) Binbin Hu, Bin Shen, Ruize Wu, Zhiqiang Zhang, Yuetian Cao, Yong He, Liang Zhang, Linjian Mo, Jun Zhou
2022	A	`conf`	Neural Graph Matching for Pre-training Graph Neural Networks. SDM Yupeng Hou, Binbin Hu, Wayne Xin Zhao, Zhiqiang Zhang, Jun Zhou, Ji-Rong Wen
2022	J	`jnl`	Neural Graph Matching for Pre-training Graph Neural Networks. CoRR Yupeng Hou, Binbin Hu, Wayne Xin Zhao, Zhiqiang Zhang, Jun Zhou, Ji-Rong Wen
2022	A*	`conf`	Regularizing Graph Neural Networks via Consistency-Diversity Graph Augmentations. AAAI Deyu Bo, Binbin Hu, Xiao Wang, Zhiqiang Zhang, Chuan Shi, Jun Zhou
2022	J	`jnl`	Revisiting Adversarial Attacks on Graph Neural Networks for Graph Classification. CoRR Beini Xie, Heng Chang, Xin Wang, Tian Bian, Shiji Zhou, Daixin Wang, Zhiqiang Zhang, Wenwu Zhu
2022	A*	`conf`	Robust Heterogeneous Graph Neural Networks against Adversarial Attacks. AAAI Mengmei Zhang, Xiao Wang, Meiqi Zhu, Chuan Shi, Zhiqiang Zhang, Jun Zhou
2022	A	`conf`	Scope-aware Re-ranking with Gated Attention in Feed. WSDM Hao Qian, Qintong Wu, Kai Zhang, Zhiqiang Zhang, Lihong Gu, Xiaodong Zeng, Jun Zhou, Jinjie Gu
2021	—	`conf`	A Graph Attention Network Model for GMV Forecast on Online Shopping Festival. APWeb/WAIM (1) Qianyu Yu, Shuo Yang, Zhiqiang Zhang, Ya-Lin Zhang, Binbin Hu, Ziqi Liu, Kai Huang, Xingyu Zhong, Jun Zhou, Yanming Fang
2021	J	`jnl`	Adaptive Client Sampling in Federated Learning via Online Learning with Bandit Feedback. CoRR Boxin Zhao, Ziqi Liu, Chaochao Chen, Mladen Kolar, Zhiqiang Zhang, Jun Zhou
2021	J	`jnl`	Conditional Attention Networks for Distilling Knowledge Graphs in Recommendation. CoRR Ke Tu, Peng Cui, Daixin Wang, Zhiqiang Zhang, Jun Zhou, Yuan Qi, Wenwu Zhu
2021	A	`conf`	Conditional Graph Attention Networks for Distilling and Refining Knowledge Graphs in Recommendation. CIKM Ke Tu, Peng Cui, Daixin Wang, Zhiqiang Zhang, Jun Zhou, Yuan Qi, Wenwu Zhu
2021	A	`conf`	Counterfactual Review-based Recommendation. CIKM Kun Xiong, Wenwen Ye, Xu Chen, Yongfeng Zhang, Wayne Xin Zhao, Binbin Hu, Zhiqiang Zhang, Jun Zhou
2021	—	`conf`	Inductive Link Prediction with Interactive Structure Learning on Attributed Graph. ECML/PKDD (2) Shuo Yang, Binbin Hu, Zhiqiang Zhang, Wang Sun, Yang Wang, Jun Zhou, Hongyu Shan, Yuetian Cao, Borui Ye, Yanming Fang, Quan Yu
2021	A*	`conf`	IntelliTag: An Intelligent Cloud Customer Service System Based on Tag Recommendation. ICDE Minghui Yang, Shaosheng Cao, Binbin Hu, Xianling Chen, Hengbin Cui, Zhiqiang Zhang, Jun Zhou, Xiaolong Li
2021	A*	`conf`	Joint Incentive Optimization of Customer and Merchant in Mobile Payment Marketing. AAAI Li Yu, Zhengwei Wu, Tianchi Cai, Ziqi Liu, Zhiqiang Zhang, Lihong Gu, Xiaodong Zeng, Jinjie Gu
2021	A	`conf`	Learning Representations of Inactive Users: A Cross Domain Approach with Graph Neural Networks. CIKM Ziqi Liu, Yue Shen, Xiaocheng Cheng, Qiang Li, Jianping Wei, Zhiqiang Zhang, Dong Wang, Xiaodong Zeng, Jinjie Gu, Jun Zhou
2021	—	`conf`	LinkLouvain: Link-Aware A/B Testing and Its Application on Online Marketing Campaign. DASFAA (3) Tianchi Cai, Daxi Cheng, Chen Liang, Ziqi Liu, Lihong Gu, Huizhi Xie, Zhiqiang Zhang, Xiaodong Zeng, Jinjie Gu
2021	J	`jnl`	LinkLouvain: Link-Aware A/B Testing and Its Application on Online Marketing Campaign. CoRR Tianchi Cai, Daxi Cheng, Chen Liang, Ziqi Liu, Lihong Gu, Huizhi Xie, Zhiqiang Zhang, Xiaodong Zeng, Jinjie Gu
2021	A	`conf`	Low-dimensional Alignment for Cross-Domain Recommendation. CIKM Tianxin Wang, Fuzhen Zhuang, Zhiqiang Zhang, Daixin Wang, Jun Zhou, Qing He
2021	A*	`conf`	MixSeq: Connecting Macroscopic Time Series Forecasting with Microscopic Time Series Data. NeurIPS Zhibo Zhu, Ziqi Liu, Ge Jin, Zhiqiang Zhang, Lei Chen, Jun Zhou, Jianyong Zhou
2021	J	`jnl`	MixSeq: Connecting Macroscopic Time Series Forecasting with Microscopic Time Series Data. CoRR Zhibo Zhu, Ziqi Liu, Ge Jin, Zhiqiang Zhang, Lei Chen, Jun Zhou, Jianyong Zhou
2021	A	`conf`	SIFN: A Sentiment-aware Interactive Fusion Network for Review-based Item Recommendation. CIKM Kai Zhang, Hao Qian, Qi Liu, Zhiqiang Zhang, Jun Zhou, Jianhui Ma, Enhong Chen
2021	J	`jnl`	SIFN: A Sentiment-aware Interactive Fusion Network for Review-based Item Recommendation. CoRR Kai Zhang, Hao Qian, Qi Liu, Zhiqiang Zhang, Jun Zhou, Jianhui Ma, Enhong Chen
2021	A	`conf`	Temporal-Aware Graph Neural Network for Credit Risk Prediction. SDM Daixin Wang, Zhiqiang Zhang, Jun Zhou, Peng Cui, Jingli Fang, Quanhui Jia, Yanming Fang, Yuan Qi
2021	A*	`conf`	User Retention: A Causal Approach with Triple Task Modeling. IJCAI Yang Zhang, Dong Wang, Qiang Li, Yue Shen, Ziqi Liu, Xiaodong Zeng, Zhiqiang Zhang, Jinjie Gu, Derek F. Wong
2020	J	`jnl`	AGL: A Scalable System for Industrial-purpose Graph Machine Learning. Proc. VLDB Endow. Dalong Zhang, Xin Huang, Ziqi Liu, Jun Zhou, Zhiyang Hu, Xianzheng Song, Zhibang Ge, Lin Wang, Zhiqiang Zhang, Yuan Qi
2020	J	`jnl`	AGL: a Scalable System for Industrial-purpose Graph Machine Learning. CoRR Dalong Zhang, Xin Huang, Ziqi Liu, Zhiyang Hu, Xianzheng Song, Zhibang Ge, Zhiqiang Zhang, Lin Wang, Jun Zhou, Shuang Yang, Yuan Qi
2020	A*	`conf`	ATBRG: Adaptive Target-Behavior Relational Graph Network for Effective Recommendation. SIGIR Yufei Feng, Binbin Hu, Fuyu Lv, Qingwen Liu, Zhiqiang Zhang, Wenwu Ou
2020	J	`jnl`	ATBRG: Adaptive Target-Behavior Relational Graph Network for Effective Recommendation. CoRR Yufei Feng, Binbin Hu, Fuyu Lv, Qingwen Liu, Zhiqiang Zhang, Wenwu Ou
2020	A*	`conf`	Bandit Samplers for Training Graph Neural Networks. NeurIPS Ziqi Liu, Zhengwei Wu, Zhiqiang Zhang, Jun Zhou, Shuang Yang, Le Song, Yuan Qi
2020	J	`jnl`	Bandit Samplers for Training Graph Neural Networks. CoRR Ziqi Liu, Zhengwei Wu, Zhiqiang Zhang, Jun Zhou, Shuang Yang, Le Song, Yuan Qi
2020	J	`jnl`	DSSLP: A Distributed Framework for Semi-supervised Link Prediction. CoRR Dalong Zhang, Xianzheng Song, Ziqi Liu, Zhiqiang Zhang, Xin Huang, Lin Wang, Jun Zhou
2020	A	`conf`	EasyGML: A Fully-functional and Easy-to-use Platform for Industrial Graph Machine Learning. CIKM Zhiqiang Zhang, Jun Zhou, Chuan Shi
2020	A*	`conf`	Financial Risk Analysis for SMEs with Graph-based Supply Chain Mining. IJCAI Shuo Yang, Zhiqiang Zhang, Jun Zhou, Yang Wang, Wang Sun, Xingyu Zhong, Yanming Fang, Quan Yu, Yuan Qi
2020	J	`jnl`	Graph Representation Learning for Merchant Incentive Optimization in Mobile Payment Marketing. CoRR Ziqi Liu, Dong Wang, Qianyu Yu, Zhiqiang Zhang, Yue Shen, Jian Ma, Wenliang Zhong, Jinjie Gu, Jun Zhou, Shuang Yang, Yuan Qi
2020	J	`jnl`	Heterogeneous Graph Neural Network for Recommendation. CoRR Jinghan Shi, Houye Ji, Chuan Shi, Xiao Wang, Zhiqiang Zhang, Jun Zhou
2020	A*	`conf`	Hubble: An Industrial System for Audience Expansion in Mobile Marketing. KDD Chenyi Zhuang, Ziqi Liu, Zhiqiang Zhang, Yize Tan, Zhengwei Wu, Zhining Liu, Jianping Wei, Jinjie Gu, Guannan Zhang, Jun Zhou, Yuan Qi
2020	A	`conf`	Loan Default Analysis with Multiplex Graph Learning. CIKM Binbin Hu, Zhiqiang Zhang, Jun Zhou, Jingli Fang, Quanhui Jia, Yanming Fang, Quan Yu, Yuan Qi
2020	J	`jnl`	NetDP: An Industrial-Scale Distributed Network Representation Framework for Default Prediction in Ant Credit Pay. CoRR Jianbin Lin, Zhiqiang Zhang, Jun Zhou, Xiaolong Li, Jingli Fang, Yanming Fang, Quan Yu, Yuan Qi
2019	A*	`conf`	Cash-Out User Detection Based on Attributed Heterogeneous Information Network with a Hierarchical Attention Mechanism. AAAI Binbin Hu, Zhiqiang Zhang, Chuan Shi, Jun Zhou, Xiaolong Li, Yuan Qi
2019	—	`conf`	DSSLP: A Distributed Framework for Semi-supervised Link Prediction. IEEE BigData Dalong Zhang, Xianzheng Song, Ziqi Liu, Zhiqiang Zhang, Xin Huang, Lin Wang, Jun Zhou
2019	J	`jnl`	Distributed Deep Forest and its Application to Automatic Detection of Cash-Out Fraud. ACM Trans. Intell. Syst. Technol. Ya-Lin Zhang, Jun Zhou, Wenhao Zheng, Ji Feng, Longfei Li, Ziqi Liu, Ming Li, Zhiqiang Zhang, Chaochao Chen, Xiaolong Li, Yuan (Alan) Qi, Zhi-Hua Zhou
2019	A	`conf`	Graph Representation Learning for Merchant Incentive Optimization in Mobile Payment Marketing. CIKM Ziqi Liu, Dong Wang, Qianyu Yu, Zhiqiang Zhang, Yue Shen, Jian Ma, Wenliang Zhong, Jinjie Gu, Jun Zhou, Shuang Yang, Yuan Qi
2019	J	`jnl`	SemRec: a personalized semantic recommendation method based on weighted heterogeneous information networks. World Wide Web Chuan Shi, Zhiqiang Zhang, Yugang Ji, Weipeng Wang, Philip S. Yu, Zhiping Shi
2018	—	`conf`	An Industrial-Scale System for Heterogeneous Information Card Ranking in Alipay. DASFAA (2) Zhiqiang Zhang, Chaochao Chen, Jun Zhou, Xiaolong Li
2018	J	`jnl`	Distributed Deep Forest and its Application to Automatic Detection of Cash-out Fraud. CoRR Ya-Lin Zhang, Jun Zhou, Wenhao Zheng, Ji Feng, Longfei Li, Ziqi Liu, Ming Li, Zhiqiang Zhang, Chaochao Chen, Xiaolong Li, Zhi-Hua Zhou
2018	—	`conf`	NetDP: An Industrial-Scale Distributed Network Representation Framework for Default Prediction in Ant Credit Pay. IEEE BigData Jianbin Lin, Zhiqiang Zhang, Jun Zhou, Xiaolong Li, Jingli Fang, Yanming Fang, Quan Yu, Yuan (Alan) Qi
2017	J	`jnl`	Representation learning via Dual-Autoencoder for recommendation. Neural Networks Fuzhen Zhuang, Zhiqiang Zhang, Mingda Qian, Chuan Shi, Xing Xie, Qing He
2016	A	`conf`	RecExp: A Semantic Recommender System with Explanation Based on Heterogeneous Information Network. RecSys Jiawei Hu, Zhiqiang Zhang, Jian Liu, Chuan Shi, Philip S. Yu, Bai Wang
2015	A	`conf`	Semantic Path based Personalized Recommendation on Weighted Heterogeneous Information Networks. CIKM Chuan Shi, Zhiqiang Zhang, Ping Luo, Philip S. Yu, Yading Yue, Bin Wu