Qi Liu

650 papers A* 197A 47B 4C 6Misc 2Journal 321Unranked 71
YearRankTypeTitle / Venue / Authors
2026 J jnl
$\pi$-eLight: Learning Interpretable Programmatic Policies for Effective Traffic Signal Control.
IEEE Trans. Mob. Comput.
Yin Gu, Kai Zhang, Qi Liu, Haojie Yuan, Runlong Yu
2026 J jnl
A Hybrid Adaptive Sampling Strategy for Fair and Accurate Meta-learned User Modeling.
ACM Trans. Inf. Syst.
Zheng Zhang, Qi Liu, Zirui Hu, Yi Zhan, Zhenya Huang, Weibo Gao, Qingyang Mao, Enhong Chen
2026 A* conf
Are LLMs Stable Formal Logic Translators in Logical Reasoning Across Linguistically Diversified Texts?
WWW
Qingchuan Li, Jiatong Li, Zirui Liu, Mingyue Cheng, Yitong Zhou, Yuting Zeng, Qi Liu, Tongxuan Liu
2026 A conf
Can Slow-Thinking LLMs Reason Over Time? Empirical Studies in Time Series Forecasting.
WSDM
Mingyue Cheng, Jiahao Wang, Daoyu Wang, Xiaoyu Tao, Qi Liu, Enhong Chen
2026 J jnl
CeProAgents: A Hierarchical Agents System for Automated Chemical Process Development.
CoRR
Yuhang Yang, Ruikang Li, Jifei Ma, Kai Zhang, Qi Liu, Jianyu Han, Yonggan Bu, Jibin Zhou, Defu Lian, Xin Li, Enhong Chen
2026 J jnl
CoGenCast: A Coupled Autoregressive-Flow Generative Framework for Time Series Forecasting.
CoRR
Yaguo Liu, Mingyue Cheng, Daoyu Wang, Xiaoyu Tao, Qi Liu
2026 A* conf
Conversational Learning Diagnosis via Reasoning Multi-Turn Interactive Learning.
AAAI
Fangzhou Yao, Sheng Chang, Weibo Gao, Qi Liu
2026 J jnl
Conversational Learning Diagnosis via Reasoning Multi-Turn Interactive Learning.
CoRR
Fangzhou Yao, Sheng Chang, Weibo Gao, Qi Liu
2026 A* conf
DMGIN: How Multimodal LLMs Enhance Large Recommendation Models for Lifelong User Post-click Behaviors.
AAAI
Zhuoxing Wei, Qingchen Xie, Qi Liu, Jingsong Yu
2026 J jnl
EduYOLO: A classroom behavior recognition framework based on high-resolution feature attention fusion.
Expert Syst. Appl.
Jun Yu, Shengzhao Li, Huijie Liu, Qi Liu, Chang Tan, Zhiyuan Cheng, Jinze Wu
2026 J jnl
Enhancing Mathematical Reasoning Through Autonomously Learning Knowledge.
IEEE Trans. Pattern Anal. Mach. Intell.
Jiayu Liu, Zhenya Huang, Enhong Chen, Qi Liu, Hongke Zhao, Xin Lin, Jing Sha, Shijin Wang
2026 A* conf
From Diagnosis to Generalization: A Cognitive Approach to Data Selection for Educational LLMs.
AAAI
Yuxiang Guo, Yan Zhuang, Qi Liu, Zhenya Huang, Xianquan Wang, Liyang He, Jiatong Li, Rui Li, Shijin Wang
2026 J jnl
Global Structure-aware and Feature-augmented Graph Neural Network for Heterophilic Graphs.
ACM Trans. Inf. Syst.
Huijie Liu, Shulan Ruan, Qi Liu, Mingyue Cheng, Zhenya Huang, Yu Liu, Enhong Chen, You He
2026 J jnl
InstructTime++: Time Series Classification with Multimodal Language Modeling via Implicit Feature Enhancement.
CoRR
Mingyue Cheng, Xiaoyu Tao, Huajian Zhang, Qi Liu, Enhong Chen
2026 J jnl
LLM-EPSP: Large language model empowered early prediction of student performance.
Inf. Process. Manag.
Huawei Zhou, Shuanghong Shen, Yu Su, Yongchun Miao, Qi Liu, Linbo Zhu, Junyu Lu, Zhenya Huang
2026 J jnl
Learn to Understand: Knowledge Exemplification via Multi-Agent Cooperation for Science Question Answering.
IEEE Trans. Knowl. Data Eng.
Meikai Bao, Kai Zhang, Xukai Liu, Qi Liu, Hongke Zhao, Enhong Chen
2026 A* conf
Look as You Think: Unifying Reasoning and Visual Evidence Attribution for Verifiable Document RAG via Reinforcement Learning.
AAAI
Shuochen Liu, Pengfei Luo, Chao Zhang, Yuhao Chen, Haotian Zhang, Qi Liu, Xin Kou, Tong Xu, Enhong Chen
2026 J jnl
MemCast: Memory-Driven Time Series Forecasting with Experience-Conditioned Reasoning.
CoRR
Xiaoyu Tao, Mingyue Cheng, Ze Guo, Shuo Yu, Yaguo Liu, Qi Liu, Shijin Wang
2026 A* conf
MemWeaver: A Hierarchical Memory from Textual Interactive Behaviors for Personalized Generation.
WWW
Shuo Yu, Mingyue Cheng, Daoyu Wang, Qi Liu, Zirui Liu, Ze Guo, Xiaoyu Tao
2026 J jnl
Mind2Report: A Cognitive Deep Research Agent for Expert-Level Commercial Report Synthesis.
CoRR
Mingyue Cheng, Daoyu Wang, Qi Liu, Shuo Yu, Xiaoyu Tao, Yuqian Wang, Chengzhong Chu, Yu Duan, Mingkang Long, Enhong Chen
2026 J jnl
PaperScout: An Autonomous Agent for Academic Paper Search with Process-Aware Sequence-Level Policy Optimization.
CoRR
Tingyue Pan, Jie Ouyang, Mingyue Cheng, Qingchuan Li, Zirui Liu, Mingfan Pan, Shuo Yu, Qi Liu
2026 J jnl
Position: Beyond Model-Centric Prediction - Agentic Time Series Forecasting.
CoRR
Mingyue Cheng, Xiaoyu Tao, Qi Liu, Ze Guo, Enhong Chen
2026 J jnl
Proxy Compression for Language Modeling.
CoRR
Lin Zheng, Xinyu Li, Qi Liu, Xiachong Feng, Lingpeng Kong
2026 J jnl
SimCDR: Preserving Intra-Domain Similarities of Users for Cross-Domain Recommendation.
ACM Trans. Inf. Syst.
Kai Zhang, Zhihong Pan, Sanshi Lei Yu, Qi Liu, Hongke Zhao, Chaochao Chen, Enhong Chen
2026 J jnl
StaTS: Spectral Trajectory Schedule Learning for Adaptive Time Series Forecasting with Frequency Guided Denoiser.
CoRR
Jintao Zhang, Zirui Liu, Mingyue Cheng, Xianquan Wang, Zhiding Liu, Qi Liu
2026 J jnl
Structure-Based Drug Design with Geometric Deep Learning: A Comprehensive Survey.
ACM Comput. Surv.
Zaixi Zhang, Jiaxian Yan, Yining Huang, Qi Liu, Enhong Chen, Mengdi Wang, Marinka Zitnik
2026 J jnl
TableMind++: An Uncertainty-Aware Programmatic Agent for Tool-Augmented Table Reasoning.
CoRR
Mingyue Cheng, Shuo Yu, Chuang Jiang, Xiaoyu Tao, Qingyang Mao, Jie Ouyang, Qi Liu, Enhong Chen
2026 A conf
TableMind: An Autonomous Programmatic Agent for Tool-Augmented Table Reasoning.
WSDM
Chuang Jiang, Mingyue Cheng, Xiaoyu Tao, Qingyang Mao, Jie Ouyang, Qi Liu
2026 A* conf
Themis: Automated Constraint-Aware Test Synthesis Framework for Code Reinforcement Learning.
AAAI
Shengyu Ye, Qi Liu, Hao Jiang, Zheng Zhang, Heng Yu, Zhenya Huang
2026 A conf
TimeMAE: Self-Supervised Representations of Time Series with Decoupled Masked Autoencoders.
WSDM
Mingyue Cheng, Xiaoyu Tao, Zhiding Liu, Qi Liu, Hao Zhang, Rujiao Zhang, Enhong Chen
2026 J jnl
Turning Semantics into Topology: LLM-Driven Attribute Augmentation for Collaborative Filtering.
CoRR
Junjie Meng, Ranxu Zhang, Wei Wu, Rui Zhang, Chuan Qin, Qi Zhang, Qi Liu, Hui Xiong, Chao Wang
2025 J jnl
A Comprehensive Survey on Cross-Domain Recommendation: Taxonomy, Progress, and Prospects.
CoRR
Hao Zhang, Mingyue Cheng, Qi Liu, Junzhe Jiang, Xianquan Wang, Rujiao Zhang, Chenyi Lei, Enhong Chen
2025 J jnl
A Survey on Knowledge-Oriented Retrieval-Augmented Generation.
CoRR
Mingyue Cheng, Yucong Luo, Jie Ouyang, Qi Liu, Huijie Liu, Li Li, Shuo Yu, Bohou Zhang, Jiawei Cao, Jie Ma, Daoyu Wang, Enhong Chen
2025 — conf
AMoPO: Adaptive Multi-objective Preference Optimization without Reward Models and Reference Models.
ACL (Findings)
Qi Liu, Jingqing Ruan, Hao Li, Haodong Zhao, Desheng Wang, Jiansong Chen, Guanglu Wan, Xunliang Cai, Zhi Zheng, Tong Xu
2025 J jnl
AMoPO: Adaptive Multi-objective Preference Optimization without Reward Models and Reference Models.
CoRR
Qi Liu, Jingqing Ruan, Hao Li, Haodong Zhao, Desheng Wang, Jiansong Chen, Guanglu Wan, Xunliang Cai, Zhi Zheng, Tong Xu
2025 J jnl
Adaptive ensemble learning for efficient keyphrase extraction: Diagnosis, aggregation, and distillation.
Expert Syst. Appl.
Kai Zhang, Hongbo Gang, Feng Hu, Runlong Yu, Qi Liu
2025 J jnl
Advancing Multimodal Reasoning Capabilities of Multimodal Large Language Models via Visual Perception Reward.
CoRR
Tong Xiao, Xin Xu, Zhenya Huang, Hongyu Gao, Quan Liu, Qi Liu, Enhong Chen
2025 J jnl
Agent-R1: Training Powerful LLM Agents with End-to-End Reinforcement Learning.
CoRR
Mingyue Cheng, Jie Ouyang, Shuo Yu, Ruiran Yan, Yucong Luo, Zirui Liu, Daoyu Wang, Qi Liu, Enhong Chen
2025 A* conf
Agent4Edu: Generating Learner Response Data by Generative Agents for Intelligent Education Systems.
AAAI
Weibo Gao, Qi Liu, Linan Yue, Fangzhou Yao, Rui Lv, Zheng Zhang, Hao Wang, Zhenya Huang
2025 J jnl
Agent4Edu: Generating Learner Response Data by Generative Agents for Intelligent Education Systems.
CoRR
Weibo Gao, Qi Liu, Linan Yue, Fangzhou Yao, Rui Lv, Zheng Zhang, Hao Wang, Zhenya Huang
2025 J jnl
An efficient continuous control perspective for reinforcement-learning-based sequential recommendation.
Knowl. Based Syst.
Jun Wang, Likang Wu, Qi Liu, Yu Yang
2025 J jnl
Are LLMs Reliable Translators of Logical Reasoning Across Lexically Diversified Contexts?
CoRR
Qingchuan Li, Jiatong Li, Zirui Liu, Mingyue Cheng, Yuting Zeng, Qi Liu, Tongxuan Liu
2025 J jnl
Benchmarking Multimodal LLMs on Recognition and Understanding over Chemical Tables.
CoRR
Yitong Zhou, Mingyue Cheng, Qingyang Mao, Yucong Luo, Qi Liu, Yupeng Li, Xiaohan Zhang, Deguang Liu, Xin Li, Enhong Chen
2025 A* conf
BoxCD: Leveraging Contrastive Probabilistic Box Embedding for Effective and Efficient Learner Modeling.
WWW
Weibo Gao, Qi Liu, Linan Yue, Fangzhou Yao, Zhenya Huang, Zheng Zhang, Rui Lv
2025 J jnl
Bridging the Last Mile of Prediction: Enhancing Time Series Forecasting with Conditional Guided Flow Matching.
CoRR
Huibo Xu, Runlong Yu, Likang Wu, Xianquan Wang, Qi Liu
2025 — conf
CA-GAR: Context-Aware Alignment of LLM Generation for Document Retrieval.
ACL (Findings)
Heng Yu, Junfeng Kang, Rui Li, Qi Liu, Liyang He, Zhenya Huang, Shuanghong Shen, Junyu Lu
2025 A* conf
CAD-Editor: A Locate-then-Infill Framework with Automated Training Data Synthesis for Text-Based CAD Editing.
ICML
Yu Yuan, Shizhao Sun, Qi Liu, Jiang Bian
2025 J jnl
CAD-Editor: A Locate-then-Infill Framework with Automated Training Data Synthesis for Text-Based CAD Editing.
CoRR
Yu Yuan, Shizhao Sun, Qi Liu, Jiang Bian
2025 A* conf
CM3AE: A Unified RGB Frame and Event-Voxel/-Frame Pre-training Framework.
ACM Multimedia
Wentao Wu, Xiao Wang, Chenglong Li, Bo Jiang, Jin Tang, Bin Luo, Qi Liu
2025 J jnl
CM3AE: A Unified RGB Frame and Event-Voxel/-Frame Pre-training Framework.
CoRR
Wentao Wu, Xiao Wang, Chenglong Li, Bo Jiang, Jin Tang, Bin Luo, Qi Liu
2025 J jnl
Can Slow-thinking LLMs Reason Over Time? Empirical Studies in Time Series Forecasting.
CoRR
Jiahao Wang, Mingyue Cheng, Qi Liu
2025 J jnl
Chinese Spelling Correction: A Comprehensive Survey of Progress, Challenges, and Opportunities.
CoRR
Changchun Liu, Kai Zhang, Junzhe Jiang, Zixiao Kong, Qi Liu, Enhong Chen
2025 A* conf
CoderAgent: Simulating Student Behavior for Personalized Programming Learning with Large Language Models.
IJCAI
Yi Zhan, Qi Liu, Weibo Gao, Zheng Zhang, Tianfu Wang, Shuanghong Shen, Junyu Lu, Zhenya Huang
2025 J jnl
CoderAgent: Simulating Student Behavior for Personalized Programming Learning with Large Language Models.
CoRR
Yi Zhan, Qi Liu, Weibo Gao, Zheng Zhang, Tianfu Wang, Shuanghong Shen, Junyu Lu, Zhenya Huang
2025 A* conf
CogMath: Assessing LLMs' Authentic Mathematical Ability from a Human Cognitive Perspective.
ICML
Jiayu Liu, Zhenya Huang, Wei Dai, Cheng Cheng, Jinze Wu, Jing Sha, Song Li, Qi Liu, Shijin Wang, Enhong Chen
2025 J jnl
CogMath: Assessing LLMs' Authentic Mathematical Ability from a Human Cognitive Perspective.
CoRR
Jiayu Liu, Zhenya Huang, Wei Dai, Cheng Cheng, Jinze Wu, Jing Sha, Song Li, Qi Liu, Shijin Wang, Enhong Chen
2025 — conf
ConvTimeNet: A Deep Hierarchical Fully Convolutional Model for Multivariate Time Series Analysis.
WWW (Companion Volume)
Mingyue Cheng, Jiqian Yang, Tingyue Pan, Qi Liu, Zhi Li, Shijin Wang
2025 A conf
Cross-Domain Pre-training with Language Models for Transferable Time Series Representations.
WSDM
Mingyue Cheng, Xiaoyu Tao, Qi Liu, Hao Zhang, Yiheng Chen, Defu Lian
2025 A* conf
CursorCore: Assist Programming through Aligning Anything.
ICML
Hao Jiang, Qi Liu, Rui Li, Shengyu Ye, Shijin Wang
2025 J jnl
DASKT: A Dynamic Affect Simulation Method for Knowledge Tracing.
CoRR
Xinjie Sun, Kai Zhang, Qi Liu, Shuanghong Shen, Fei Wang, Yuxiang Guo, Enhong Chen
2025 J jnl
DASKT: A Dynamic Affect Simulation Method for Knowledge Tracing.
IEEE Trans. Knowl. Data Eng.
Xinjie Sun, Kai Zhang, Qi Liu, Shuanghong Shen, Fei Wang, Yuxiang Guo, Enhong Chen
2025 A* conf
Deep Multiple Quantization Network on Long Behavior Sequence for Click-Through Rate Prediction.
SIGIR
Zhuoxing Wei, Qi Liu, Qingchen Xie
2025 J jnl
Deep Multiple Quantization Network on Long Behavior Sequence for Click-Through Rate Prediction.
CoRR
Zhuoxing Wei, Qi Liu, Qingchen Xie
2025 — conf
Denoising Programming Knowledge Tracing with a Code Graph-based Tuning Adaptor.
KDD (1)
Weibo Gao, Qi Liu, Rui Li, Yuze Zhao, Hao Wang, Linan Yue, Fangzhou Yao, Zheng Zhang
2025 J jnl
Denoising Programming Knowledge Tracing with a Code Graph-based Tuning Adaptor.
CoRR
Weibo Gao, Qi Liu, Rui Li, Yuze Zhao, Hao Wang, Linan Yre, Fangzhou Yao, Zheng Zhang
2025 A conf
DimeRec: A Unified Framework for Enhanced Sequential Recommendation via Generative Diffusion Models.
WSDM
Wuchao Li, Rui Huang, Haijun Zhao, Chi Liu, Kai Zheng, Qi Liu, Na Mou, Guorui Zhou, Defu Lian, Yang Song, Wentian Bao, Enyun Yu, Wenwu Ou
2025 A* conf
Distribution-Driven Dense Retrieval: Modeling Many-to-One Query-Document Relationship.
AAAI
Junfeng Kang, Rui Li, Qi Liu, Zhenya Huang, Zheng Zhang, Yanjiang Chen, Linbo Zhu, Yu Su
2025 J jnl
Don't Overthink It: A Survey of Efficient R1-style Large Reasoning Models.
CoRR
Linan Yue, Yichao Du, Yizhi Wang, Weibo Gao, Fangzhou Yao, Li Wang, Ye Liu, Ziyu Xu, Qi Liu, Shimin Di, Min-Ling Zhang
2025 J jnl
Efficient Benchmarking via Bias-Bounded Subset Selection.
IEEE Trans. Pattern Anal. Mach. Intell.
Yan Zhuang, Junhao Yu, Qi Liu, Yuxuan Sun, Jiatong Li, Zhenya Huang, Enhong Chen
2025 A* conf
Empowering Federated Graph Rationale Learning with Latent Environments.
WWW
Linan Yue, Qi Liu, Yawen Li, Fangzhou Yao, Weibo Gao, Junping Du
2025 A conf
Enhancing Code Search Intent with Programming Context Exploration.
WSDM
Yanmin Dong, Zhenya Huang, Zheng Zhang, Guanhao Zhao, Likang Wu, Hongke Zhao, Binbin Jin, Qi Liu
2025 — conf
Enhancing Knowledge Graph Completion with Entity Neighborhood and Relation Context.
DASFAA (2)
Jianfang Chen, Kai Zhang, Aoran Gan, Shiwei Tong, Shuanghong Shen, Qi Liu
2025 J jnl
Enhancing Knowledge Graph Completion with Entity Neighborhood and Relation Context.
CoRR
Jianfang Chen, Kai Zhang, Aoran Gan, Shiwei Tong, Shuanghong Shen, Qi Liu
2025 — conf
Enhancing Protein-Ligand Binding Affinity Prediction via Parameter-Efficient Fine-Tuning of Protein and Chemical Language Models.
DASFAA (2)
Ruikang Li, Jiaxian Yan, Kai Zhang, Yanjiang Chen, Qi Liu, Min Gao, Enhong Chen
2025 A* conf
Evaluating Large Language Models through Role-Guide and Self-Reflection: A Comparative Study.
ICLR
Lili Zhao, Yang Wang, Qi Liu, Mengyun Wang, Wei Chen, Zhichao Sheng, Shijin Wang
2025 J jnl
Examination Process Modeling for Intelligent Patent Management: A Multi-aspect Neural Sequential Approach.
ACM Trans. Manag. Inf. Syst.
Han Wu, Le Zhang, Hengshu Zhu, Qi Liu, Enhong Chen, Hui Xiong
2025 J jnl
Fast underwater scene reconstruction using multi-view stereo and physical imaging.
Neural Networks
Shuyi Hu, Qi Liu
2025 J jnl
Foundation of Intelligence: Review of Math Word Problems from Human Cognition Perspective.
CoRR
Zhenya Huang, Jiayu Liu, Xin Lin, Zhiyuan Ma, Shangzi Xue, Tong Xiao, Qi Liu, Yee Whye Teh, Enhong Chen
2025 — conf
From Memorization to Discovery: A Novel Benchmark for Relational Triple Extraction.
DASFAA (2)
Aoran Gan, Ye Liu, Hongbo Gang, Kai Zhang, Qi Liu, Enhong Chen, Xin Li, Guoping Hu
2025 A* conf
GenAL: Generative Agent for Adaptive Learning.
AAAI
Rui Lv, Qi Liu, Weibo Gao, Haotian Zhang, Junyu Lu, Linbo Zhu
2025 J jnl
Generative Cognitive Diagnosis.
CoRR
Jiatong Li, Qi Liu, Mengxiao Zhu
2025 A* conf
GraphPrompter: Multi-Stage Adaptive Prompt Optimization for Graph In-Context Learning.
ICDE
Rui Lv, Zaixi Zhang, Kai Zhang, Qi Liu, Weibo Gao, Jiawei Liu, Jiaxia Yan, Linan Yue, Fangzhou Yao
2025 J jnl
GraphPrompter: Multi-stage Adaptive Prompt Optimization for Graph In-Context Learning.
CoRR
Rui Lv, Zaixi Zhang, Kai Zhang, Qi Liu, Weibo Gao, Jiawei Liu, Jiaxia Yan, Linan Yue, Fangzhou Yao
2025 J jnl
Guest Editorial of the Special Section on Human Machine Interface for Next Generation Consumer Electronics.
IEEE Trans. Consumer Electron.
Hongxu Zhu, Hao Ran Chi, Xinyuan Qian, Rui Liu, Qi Liu
2025 J jnl
HCD: A Hierarchy Constraint-Aware Neural Cognitive Diagnosis Framework.
Neural Networks
Xinjie Sun, Qi Liu, Kai Zhang, Shuanghong Shen, Fei Wang, Yan Zhuang, Zheng Zhang, Weiyin Gong, Shijin Wang, Lina Yang, Xingying Huo
2025 J jnl
Harnessing code domain insights: Enhancing programming Knowledge Tracing with Large Language Models.
Knowl. Based Syst.
Xinjie Sun, Qi Liu, Kai Zhang, Shuanghong Shen, Lina Yang, Hui Li
2025 — conf
HoH: A Dynamic Benchmark for Evaluating the Impact of Outdated Information on Retrieval-Augmented Generation.
ACL (1)
Jie Ouyang, Tingyue Pan, Mingyue Cheng, Ruiran Yan, Yucong Luo, Jiaying Lin, Qi Liu
2025 J jnl
HoH: A Dynamic Benchmark for Evaluating the Impact of Outdated Information on Retrieval-Augmented Generation.
CoRR
Jie Ouyang, Tingyue Pan, Mingyue Cheng, Ruiran Yan, Yucong Luo, Jiaying Lin, Qi Liu
2025 J jnl
Improving Time Series Forecasting via Instance-aware Post-hoc Revision.
CoRR
Zhiding Liu, Mingyue Cheng, Guanhao Zhao, Jiqian Yang, Qi Liu, Enhong Chen
2025 A conf
InstrucTime: Advancing Time Series Classification with Multimodal Language Modeling.
WSDM
Mingyue Cheng, Yiheng Chen, Qi Liu, Zhiding Liu, Yucong Luo, Enhong Chen
2025 — conf
Intelligent Interaction Platform for Personalized Digital Tutor: Advancing Empathetic and Adaptive Learning Experiences.
WWW (Companion Volume)
Kai Zhang, Weiyin Gong, Qi Liu, Junyu Lu, Meikai Bao, Xukai Liu, Linbo Zhu, Enhong Chen
2025 J jnl
Knowledge-Centered Dual-Process Reasoning for Math Word Problems With Large Language Models.
IEEE Trans. Knowl. Data Eng.
Jiayu Liu, Zhenya Huang, Qi Liu, Zhiyuan Ma, ChengXiang Zhai, Enhong Chen
2025 J jnl
LGS-KT: Integrating logical and grammatical skills for effective programming knowledge tracing.
Neural Networks
Xinjie Sun, Qi Liu, Kai Zhang, Shuanghong Shen, Yan Zhuang, Yuxiang Guo
2025 J jnl
Large Language Model Guided Progressive Feature Alignment for Multimodal UAV Object Detection.
CoRR
Wentao Wu, Chenglong Li, Xiao Wang, Bin Luo, Qi Liu
2025 — conf
Learnable Relational Knowledge Distillation For Language Model Compression.
DASFAA (6)
Feng Hu, Kai Zhang, Ye Liu, Meikai Bao, Xukai Liu, Yanjiang Chen, Gang Zhou, Qi Liu
2025 J jnl
Learning from shortcut: a shortcut-guided approach for explainable graph learning.
Frontiers Comput. Sci.
Linan Yue, Qi Liu, Ye Liu, Weibo Gao, Fangzhou Yao
2025 J jnl
Look as You Think: Unifying Reasoning and Visual Evidence Attribution for Verifiable Document RAG via Reinforcement Learning.
CoRR
Shuochen Liu, Pengfei Luo, Chao Zhang, Yuhao Chen, Haotian Zhang, Qi Liu, Xin Kou, Tong Xu, Enhong Chen
2025 — conf
MGS3: A Multi-Granularity Self-Supervised Code Search Framework.
KDD (1)
Rui Li, Junfeng Kang, Qi Liu, Liyang He, Zheng Zhang, Yunhao Sha, Linbo Zhu, Zhenya Huang
2025 J jnl
MGS3: A Multi-Granularity Self-Supervised Code Search Framework.
CoRR
Rui Li, Junfeng Kang, Qi Liu, Liyang He, Zheng Zhang, Yunhao Sha, Linbo Zhu, Zhenya Huang
2025 J jnl
MHCD: Multi-Hierarchy Interactive Constraint-Aware Cognitive Diagnosis Framework.
Expert Syst. Appl.
Xinjie Sun, Kai Zhang, Shuanghong Shen, Fei Wang, Weiyin Gong, Lina Yang, Yuling Ma, Xingying Huo, Qi Liu
2025 A* conf
Making Transformer Decoders Better Differentiable Indexers.
ICLR
Wuchao Li, Kai Zheng, Defu Lian, Qi Liu, Wentian Bao, Yunen Yu, Yang Song, Han Li, Kun Gai
2025 J jnl
MemWeaver: A Hierarchical Memory from Textual Interactive Behaviors for Personalized Generation.
CoRR
Shuo Yu, Mingyue Cheng, Daoyu Wang, Qi Liu, Zirui Liu, Ze Guo, Xiaoyu Tao
2025 J jnl
MiMu: Mitigating Multiple Shortcut Learning Behavior of Transformers.
CoRR
Lili Zhao, Qi Liu, Wei Chen, Liyi Chen, Ruijun Sun, Min Hou, Yang Wang, Shijin Wang
2025 — conf
MindBridge: Scalable and Cross-Model Knowledge Editing via Memory-Augmented Modality.
ACL (Findings)
Shuaike Li, Kai Zhang, Qi Liu, Enhong Chen
2025 J jnl
MindBridge: Scalable and Cross-Model Knowledge Editing via Memory-Augmented Modality.
CoRR
Shuaike Li, Kai Zhang, Qi Liu, Enhong Chen
2025 A conf
Multi-Source Knowledge Pruning for Retrieval-Augmented Generation: A Benchmark and Empirical Study.
CIKM
Shuo Yu, Mingyue Cheng, Qi Liu, Daoyu Wang, Jiqian Yang, Jie Ouyang, Yucong Luo, Chenyi Lei, Enhong Chen
2025 J jnl
Multi-View Heterogeneous HyperGNN for Heterophilic Knowledge Combination Prediction.
IEEE Trans. Big Data
Huijie Liu, Shulan Ruan, Han Wu, Zhenya Huang, Defu Lian, Qi Liu, Enhong Chen
2025 J jnl
Multimodal Forecasting of Sparse Intraoperative Hypotension Events Powered by Language Model.
CoRR
Jintao Zhang, Zirui Liu, Mingyue Cheng, Shilong Zhang, Tingyue Pan, Qi Liu, Yanhu Xie
2025 J jnl
OneCast: Structured Decomposition and Modular Generation for Cross-Domain Time Series Forecasting.
CoRR
Tingyue Pan, Mingyue Cheng, Shilong Zhang, Zhiding Liu, Xiaoyu Tao, Yucong Luo, Jintao Zhang, Qi Liu
2025 — conf
PQR: Improving Dense Retrieval via Potential Query Modeling.
ACL (1)
Junfeng Kang, Rui Li, Qi Liu, Yanjiang Chen, Zheng Zhang, Junzhe Jiang, Heng Yu, Yu Su
2025 J jnl
PaperArena: An Evaluation Benchmark for Tool-Augmented Agentic Reasoning on Scientific Literature.
CoRR
Daoyu Wang, Mingyue Cheng, Qi Liu, Shuo Yu, Zirui Liu, Ze Guo
2025 J jnl
Plug-and-play fine grained neural cognitive diagnosis framework.
Eng. Appl. Artif. Intell.
Xinjie Sun, Qi Liu, Kai Zhang, Weiyin Gong, Shuanghong Shen, Fei Wang, Yan Zhuang, Meikai Bao, Shijin Wang, Yuling Ma, Enhong Chen
2025 — conf
Position: AI Evaluation Should Learn from How We Test Humans.
ICML (Position Papers)
Yan Zhuang, Qi Liu, Zachary A. Pardos, Patrick C. Kyllonen, Jiyun Zu, Zhenya Huang, Shijin Wang, Enhong Chen
2025 J jnl
Practicing in quiz, assessing in quiz: A quiz-based neural network approach for knowledge tracing.
Neural Networks
Shuanghong Shen, Qi Liu, Zhenya Huang, Linbo Zhu, Junyu Lu, Kai Zhang
2025 A conf
ProCC: Programmatic Reinforcement Learning for Efficient and Transparent TCP Congestion Control.
WSDM
Yin Gu, Kai Zhang, Qi Liu, Runlong Yu, Xin Lin, Xinjie Sun
2025 J jnl
Promoting Machine Abilities of Discovering and Utilizing Knowledge in a Unified Zero-Shot Learning Paradigm.
ACM Trans. Knowl. Discov. Data
Qingyang Mao, Zhi Li, Qi Liu, Likang Wu, Hefu Zhang, Enhong Chen
2025 J jnl
Quantitative Risk Assessment for Autonomous Vehicles: Integrating Functional Resonance Analysis Method and Bayesian Network.
Qual. Reliab. Eng. Int.
Chengwen Deng, Yufeng Li, Qi Liu, Xiangyu Zheng, Ke Sun
2025 — conf
ReAL: How Can LLMs Simulate the Real Teacher? Retrieval-enhanced Agent for Adaptive Learning.
EMNLP (Findings)
Rui Lv, Qi Liu, Weibo Gao, Jiatong Li, Kai Zhang, Shiwei Tong
2025 A* conf
RecFlow: An Industrial Full Flow Recommendation Dataset.
ICLR
Qi Liu, Kai Zheng, Rui Huang, Wuchao Li, Kuo Cai, Yuan Chai, Yanan Niu, Yiqun Hui, Bing Han, Na Mou, Hongning Wang, Wentian Bao, Yunen Yu, Guorui Zhou, Han Li, Yang Song, Defu Lian, Kun Gai
2025 J jnl
Retrieval Augmented Generation Evaluation in the Era of Large Language Models: A Comprehensive Survey.
CoRR
Aoran Gan, Hao Yu, Kai Zhang, Qi Liu, Wenyu Yan, Zhenya Huang, Shiwei Tong, Guoping Hu
2025 J jnl
STHKT: Spatiotemporal Knowledge Tracing with Topological Hawkes Process.
Expert Syst. Appl.
Shuting Li, Shuanghong Shen, Yu Su, Xinjie Sun, Junyu Lu, Qi Mo, Zhenyi Wu, Qi Liu
2025 J jnl
Self-Reflective Planning with Knowledge Graphs: Enhancing LLM Reasoning Reliability for Question Answering.
CoRR
Jiajun Zhu, Ye Liu, Meikai Bao, Kai Zhang, Yanghai Zhang, Qi Liu
2025 J jnl
Semantic distillation and enhanced diagnostic alignment: A novel approach for depression detection in social media.
Expert Syst. Appl.
Yu Su, Xiangyu Zheng, Junyu Lu, Yi Gong, Qijuan Gao, Shuanghong Shen, Qi Liu
2025 J jnl
Semantic-Aligned Code Summarization: Bridging the Gap Between Code and Natural Language Through Data Flow Analysis.
IEEE Trans. Neural Networks Learn. Syst.
Yuze Zhao, Zhenya Huang, Kai Zhang, Weibo Gao, Qi Liu, Xukai Liu, Fangzhou Yao, Enhong Chen
2025 Misc conf
SentiFormer: Metadata Enhanced Transformer for Image Sentiment Analysis.
ICASSP
Bin Feng, Shulan Ruan, Mingzheng Yang, Dongxuan Han, Huijie Liu, Kai Zhang, Qi Liu
2025 J jnl
SentiFormer: Metadata Enhanced Transformer for Image Sentiment Analysis.
CoRR
Bin Feng, Shulan Ruan, Mingzheng Yang, Dongxuan Han, Huijie Liu, Kai Zhang, Qi Liu
2025 — conf
Stepwise Reasoning Disruption Attack of LLMs.
ACL (1)
Jingyu Peng, Maolin Wang, Xiangyu Zhao, Kai Zhang, Wanyu Wang, Pengyue Jia, Qidong Liu, Ruocheng Guo, Qi Liu
2025 J jnl
TableMind: An Autonomous Programmatic Agent for Tool-Augmented Table Reasoning.
CoRR
Chuang Jiang, Mingyue Cheng, Xiaoyu Tao, Qingyang Mao, Jie Ouyang, Qi Liu
2025 A conf
TableTime: Reformulating Time Series Classification as Training-Free Table Understanding with Large Language Models.
CIKM
Jiahao Wang, Mingyue Cheng, Qingyang Mao, Yitong Zhou, Daoyu Wang, Qi Liu, Feiyang Xu, Xin Li
2025 — conf
TestAgent: An Adaptive and Intelligent Expert for Human Assessment.
ACL (Findings)
Junhao Yu, Yan Zhuang, Yuxuan Sun, Weibo Gao, Qi Liu, Mingyue Cheng, Zhenya Huang, Enhong Chen
2025 J jnl
TestAgent: An Adaptive and Intelligent Expert for Human Assessment.
CoRR
Junhao Yu, Yan Zhuang, Yuxuan Sun, Weibo Gao, Qi Liu, Mingyue Cheng, Zhenya Huang, Enhong Chen
2025 J jnl
The Other Side of the Coin: Exploring Fairness in Retrieval-Augmented Generation.
CoRR
Zheng Zhang, Ning Li, Qi Liu, Rui Li, Weibo Gao, Qingyang Mao, Zhenya Huang, Baosheng Yu, Dacheng Tao
2025 A* conf
TimeDART: A Diffusion Autoregressive Transformer for Self-Supervised Time Series Representation.
ICML
Daoyu Wang, Mingyue Cheng, Zhiding Liu, Qi Liu
2025 J jnl
Towards Reliable and Faithful Explanations: A Disentanglement-Augmented Approach for Selective Rationalization.
IEEE Trans. Pattern Anal. Mach. Intell.
Linan Yue, Qi Liu, Yichao Du, Li Wang, Yanqing An, Enhong Chen
2025 J jnl
Towards Stable and Structured Time Series Generation with Perturbation-Aware Flow Matching.
CoRR
Jintao Zhang, Mingyue Cheng, Zirui Liu, Xianquan Wang, Yitong Zhou, Qi Liu
2025 J jnl
Tracking Knowledge State Transitions in Cognitive Diagnosis for an Exercise-Exam Learning Model.
IEEE Trans. Ind. Informatics
Xinjie Sun, Qi Liu, Kai Zhang, Fei Wang, Shuanghong Shen
2025 A* conf
Unveiling the Magic of Code Reasoning through Hypothesis Decomposition and Amendment.
ICLR
Yuze Zhao, Tianyun Ji, Wenjun Feng, Zhenya Huang, Qi Liu, Zhiding Liu, Yixiao Ma, Kai Zhang, Enhong Chen
2025 J jnl
Unveiling the Magic of Code Reasoning through Hypothesis Decomposition and Amendment.
CoRR
Yuze Zhao, Tianyun Ji, Wenjun Feng, Zhenya Huang, Qi Liu, Zhiding Liu, Yixiao Ma, Kai Zhang, Enhong Chen
2025 A* conf
VERSE: Verification-based Self-Play for Code Instructions.
AAAI
Hao Jiang, Qi Liu, Rui Li, Yuze Zhao, Yixiao Ma, Shengyu Ye, Junyu Lu, Yu Su
2025 J jnl
Visual Autoregressive Modeling for Instruction-Guided Image Editing.
CoRR
Qingyang Mao, Qi Cai, Yehao Li, Yingwei Pan, Mingyue Cheng, Ting Yao, Qi Liu, Tao Mei
2025 A* conf
WDMIR: Wavelet-Driven Multimodal Intent Recognition.
IJCAI
Weiyin Gong, Kai Zhang, Yanghai Zhang, Qi Liu, Xinjie Sun, Junyu Lu, Linbo Zhu
2025 J jnl
WDMIR: Wavelet-Driven Multimodal Intent Recognition.
CoRR
Weiyin Gong, Kai Zhang, Yanghai Zhang, Qi Liu, Xinjie Sun, Junyu Lu, Linbo Zhu
2025 A* conf
am-ELO: A Stable Framework for Arena-based LLM Evaluation.
ICML
Zirui Liu, Jiatong Li, Yan Zhuang, Qi Liu, Shuanghong Shen, Jie Ouyang, Mingyue Cheng, Shijin Wang
2025 J jnl
am-ELO: A Stable Framework for Arena-based LLM Evaluation.
CoRR
Zirui Liu, Jiatong Li, Yan Zhuang, Qi Liu, Shuanghong Shen, Jie Ouyang, Mingyue Cheng, Shijin Wang
2024 J jnl
A Circumstance-Aware Neural Framework for Explainable Legal Judgment Prediction.
IEEE Trans. Knowl. Data Eng.
Linan Yue, Qi Liu, Binbin Jin, Han Wu, Yanqing An
2024 J jnl
A Dataset for the Validation of Truth Inference Algorithms Suitable for Online Deployment.
CoRR
Fei Wang, Haoyu Liu, Haoyang Bi, Xiangzhuang Shen, Renyu Zhu, Runze Wu, Minmin Lin, Tangjie Lv, Changjie Fan, Qi Liu, Zhenya Huang, Enhong Chen
2024 J jnl
A Multi-Aspect Neural Tensor Factorization Framework for Patent Litigation Prediction.
IEEE Trans. Big Data
Han Wu, Guanqi Zhu, Qi Liu, Hengshu Zhu, Hao Wang, Hongke Zhao, Chuanren Liu, Enhong Chen, Hui Xiong
2024 J jnl
A Survey of Knowledge Tracing: Models, Variants, and Applications.
IEEE Trans. Learn. Technol.
Shuanghong Shen, Qi Liu, Zhenya Huang, Yonghe Zheng, Minghao Yin, Minjuan Wang, Enhong Chen
2024 J jnl
A Survey of Models for Cognitive Diagnosis: New Developments and Future Directions.
CoRR
Fei Wang, Weibo Gao, Qi Liu, Jiatong Li, Guanhao Zhao, Zheng Zhang, Zhenya Huang, Mengxiao Zhu, Shijin Wang, Wei Tong, Enhong Chen
2024 A* conf
A Unified Adaptive Testing System Enabled by Hierarchical Structure Search.
ICML
Junhao Yu, Yan Zhuang, Zhenya Huang, Qi Liu, Xin Li, Rui Li, Enhong Chen
2024 J jnl
A general tail item representation enhancement framework for sequential recommendation.
Frontiers Comput. Sci.
Mingyue Cheng, Qi Liu, Wenyu Zhang, Zhiding Liu, Hongke Zhao, Enhong Chen
2024 J jnl
A relation-aware representation approach for the question matching system.
World Wide Web (WWW)
Yanmin Chen, Enhong Chen, Kun Zhang, Qi Liu, Ruijun Sun
2024 J jnl
A robustness division based multi-population evolutionary algorithm for solving vehicle routing problems with uncertain demand.
Eng. Appl. Artif. Intell.
Hao Jiang, Yanhui Tong, Bowen Song, Chao Wang, Jiahang Li, Qi Liu, Xingyi Zhang
2024 J jnl
A survey on large language models for recommendation.
World Wide Web (WWW)
Likang Wu, Zhi Zheng, Zhaopeng Qiu, Hao Wang, Hongchao Gu, Tingjia Shen, Chuan Qin, Chen Zhu, Hengshu Zhu, Qi Liu, Hui Xiong, Enhong Chen
2024 A* conf
AT4CTR: Auxiliary Match Tasks for Enhancing Click-Through Rate Prediction.
AAAI
Qi Liu, Xuyang Hou, Defu Lian, Zhe Wang, Haoran Jin, Jia Cheng, Jun Lei
2024 — conf
Achieving Universal Fairness in Machine Learning: A Multi-objective Optimization Perspective.
KSEM (2)
Zirui Hu, Zheng Zhang, Wenjun Feng, Qi Liu
2024 A* conf
AdaRD: An Adaptive Response Denoising Framework for Robust Learner Modeling.
KDD
Fangzhou Yao, Qi Liu, Linan Yue, Weibo Gao, Jiatong Li, Xin Li, Yuanjing He
2024 J jnl
Advancing Time Series Classification with Multimodal Language Modeling.
CoRR
Mingyue Cheng, Yiheng Chen, Qi Liu, Zhiding Liu, Yucong Luo
2024 J jnl
CELA: Cost-Efficient Language Model Alignment for CTR Prediction.
CoRR
Xingmei Wang, Weiwen Liu, Xiaolong Chen, Qi Liu, Xu Huang, Defu Lian, Xiangyang Li, Yasheng Wang, Zhenhua Dong, Ruiming Tang
2024 A* conf
COMI: COrrect and MItigate Shortcut Learning Behavior in Deep Neural Networks.
SIGIR
Lili Zhao, Qi Liu, Linan Yue, Wei Chen, Liyi Chen, Ruijun Sun, Chao Song
2024 A* conf
CONSIDER: Commonalities and Specialties Driven Multilingual Code Retrieval Framework.
AAAI
Rui Li, Liyang He, Qi Liu, Yuze Zhao, Zheng Zhang, Zhenya Huang, Yu Su, Shijin Wang
2024 J jnl
Caption matters: a new perspective for knowledge-based visual question answering.
Knowl. Inf. Syst.
Bin Feng, Shulan Ruan, Likang Wu, Huijie Liu, Kai Zhang, Kun Zhang, Qi Liu, Enhong Chen
2024 J jnl
ChemEval: A Comprehensive Multi-Level Chemical Evaluation for Large Language Models.
CoRR
Yuqing Huang, Rongyang Zhang, Xuesong He, Xuyang Zhi, Hao Wang, Xin Li, Feiyang Xu, Deguang Liu, Huadong Liang, Yi Li, Jian Cui, Zimu Liu, Shijin Wang, Guoping Hu, Guiquan Liu, Qi Liu, Defu Lian, Enhong Chen
2024 J jnl
Cognitive Evolutionary Learning to Select Feature Interactions for Recommender Systems.
CoRR
Runlong Yu, Qixiang Shao, Qi Liu, Huan Liu, Enhong Chen
2024 A* conf
Collaborative Cognitive Diagnosis with Disentangled Representation Learning for Learner Modeling.
NeurIPS
Weibo Gao, Qi Liu, Linan Yue, Fangzhou Yao, Hao Wang, Yin Gu, Zheng Zhang
2024 J jnl
Collaborative Cognitive Diagnosis with Disentangled Representation Learning for Learner Modeling.
CoRR
Weibo Gao, Qi Liu, Linan Yue, Fangzhou Yao, Hao Wang, Yin Gu, Zheng Zhang
2024 J jnl
Color Enhanced Cross Correlation Net for Image Sentiment Analysis.
IEEE Trans. Multim.
Shulan Ruan, Kun Zhang, Le Wu, Tong Xu, Qi Liu, Enhong Chen
2024 A* conf
Computerized Adaptive Testing via Collaborative Ranking.
NeurIPS
Zirui Liu, Yan Zhuang, Qi Liu, Jiatong Li, Yuren Zhang, Zhenya Huang, Jinze Wu, Shijin Wang
2024 J jnl
Constructing a Confidence-guided Multigraph Model for cognitive diagnosis in personalized learning.
Expert Syst. Appl.
Yu Su, Ze Han, Shuanghong Shen, Xuejie Yang, Zhenya Huang, Jinze Wu, Huawei Zhou, Qi Liu
2024 J jnl
ConvTimeNet: A Deep Hierarchical Fully Convolutional Model for Multivariate Time Series Analysis.
CoRR
Mingyue Cheng, Jiqian Yang, Tingyue Pan, Qi Liu, Zhi Li
2024 A* conf
Cooperative Classification and Rationalization for Graph Generalization.
WWW
Linan Yue, Qi Liu, Ye Liu, Weibo Gao, Fangzhou Yao, Wenfeng Li
2024 J jnl
Cooperative Classification and Rationalization for Graph Generalization.
CoRR
Linan Yue, Qi Liu, Ye Liu, Weibo Gao, Fangzhou Yao, Wenfeng Li
2024 A* conf
Cross-reconstructed Augmentation for Dual-target Cross-domain Recommendation.
SIGIR
Qingyang Mao, Qi Liu, Zhi Li, Likang Wu, Bing Lv, Zheng Zhang
2024 J jnl
CursorCore: Assist Programming through Aligning Anything.
CoRR
Hao Jiang, Qi Liu, Rui Li, Shengyu Ye, Shijin Wang
2024 A* conf
Decompose, Analyze and Rethink: Solving Intricate Problems with Human-like Reasoning Cycle.
NeurIPS
Shangzi Xue, Zhenya Huang, Jiayu Liu, Xin Lin, Yuting Ning, Binbin Jin, Xin Li, Qi Liu
2024 A* conf
DeltaDock: A Unified Framework for Accurate, Efficient, and Physically Reliable Molecular Docking.
NeurIPS
Jiaxian Yan, Zaixi Zhang, Jintao Zhu, Kai Zhang, Jianfeng Pei, Qi Liu
2024 J jnl
DeltaDock: A Unified Framework for Accurate, Efficient, and Physically Reliable Molecular Docking.
CoRR
Jiaxian Yan, Zaixi Zhang, Jintao Zhu, Kai Zhang, Jianfeng Pei, Qi Liu
2024 J jnl
Detect, Investigate, Judge and Determine: A Novel LLM-based Framework for Few-shot Fake News Detection.
CoRR
Ye Liu, Jiajun Zhu, Kai Zhang, Haoyu Tang, Yanghai Zhang, Xukai Liu, Qi Liu, Enhong Chen
2024 J jnl
Diffusion Auto-regressive Transformer for Effective Self-supervised Time Series Forecasting.
CoRR
Daoyu Wang, Mingyue Cheng, Zhiding Liu, Qi Liu, Enhong Chen
2024 J jnl
Digger-Guider: High-Frequency Factor Extraction for Stock Trend Prediction.
IEEE Trans. Knowl. Data Eng.
Yang Liu, Chang Xu, Min Hou, Weiqing Liu, Jiang Bian, Qi Liu, Tie-Yan Liu
2024 J jnl
DimeRec: A Unified Framework for Enhanced Sequential Recommendation via Generative Diffusion Models.
CoRR
Wuchao Li, Rui Huang, Haijun Zhao, Chi Liu, Kai Zheng, Qi Liu, Na Mou, Guorui Zhou, Defu Lian, Yang Song, Wentian Bao, Enyun Yu, Wenwu Ou
2024 J jnl
DisenTS: Disentangled Channel Evolving Pattern Modeling for Multivariate Time Series Forecasting.
CoRR
Zhiding Liu, Jiqian Yang, Qingyang Mao, Yuze Zhao, Mingyue Cheng, Zhi Li, Qi Liu, Enhong Chen
2024 A* conf
Do LLMs Overcome Shortcut Learning? An Evaluation of Shortcut Challenges in Large Language Models.
EMNLP
Yu Yuan, Lili Zhao, Kai Zhang, Guangting Zheng, Qi Liu
2024 J jnl
Do LLMs Overcome Shortcut Learning? An Evaluation of Shortcut Challenges in Large Language Models.
CoRR
Yu Yuan, Lili Zhao, Kai Zhang, Guangting Zheng, Qi Liu
2024 A* conf
Dynamic Multi-granularity Attribution Network for Aspect-based Sentiment Analysis.
EMNLP
Yanjiang Chen, Kai Zhang, Feng Hu, Xianquan Wang, Ruikang Li, Qi Liu
2024 J jnl
EduNLP: Towards a Unified and Modularized Library for Educational Resources.
CoRR
Zhenya Huang, Yuting Ning, Longhu Qin, Shiwei Tong, Shangzi Xue, Tong Xiao, Xin Lin, Jiayu Liu, Qi Liu, Enhong Chen, Shijin Wang
2024 J jnl
Efficient Transfer Learning Framework for Cross-Domain Click-Through Rate Prediction.
CoRR
Qi Liu, Xingyuan Tang, Jianqiang Huang, Xiangqian Yu, Haoran Jin, Jin Chen, Yuanhao Pu, Defu Lian, Tan Qu, Zhe Wang, Jia Cheng, Jun Lei
2024 J jnl
Efficient generation of protein pockets with PocketGen.
Nat. Mac. Intell.
Zaixi Zhang, Wan Xiang Shen, Qi Liu, Marinka Zitnik
2024 — conf
Empowering Few-Shot Relation Extraction with The Integration of Traditional RE Methods and Large Language Models.
DASFAA (5)
Ye Liu, Kai Zhang, Aoran Gan, Linan Yue, Feng Hu, Qi Liu, Enhong Chen
2024 J jnl
Empowering Few-Shot Relation Extraction with The Integration of Traditional RE Methods and Large Language Models.
CoRR
Ye Liu, Kai Zhang, Aoran Gan, Linan Yue, Feng Hu, Qi Liu, Enhong Chen
2024 — conf
Empowering Sequential Recommendation from Collaborative Signals and Semantic Relatedness.
DASFAA (3)
Mingyue Cheng, Hao Zhang, Qi Liu, Fajie Yuan, Zhi Li, Zhenya Huang, Enhong Chen, Jun Zhou, Longfei Li
2024 J jnl
Empowering Sequential Recommendation from Collaborative Signals and Semantic Relatedness.
CoRR
Mingyue Cheng, Hao Zhang, Qi Liu, Fajie Yuan, Zhi Li, Zhenya Huang, Enhong Chen, Jun Zhou, Longfei Li
2024 A* conf
Enhancing Fairness in Meta-learned User Modeling via Adaptive Sampling.
WWW
Zheng Zhang, Qi Liu, Zirui Hu, Yi Zhan, Zhenya Huang, Weibo Gao, Qingyang Mao
2024 J jnl
Enhancing Table Recognition with Vision LLMs: A Benchmark and Neighbor-Guided Toolchain Reasoner.
CoRR
Yitong Zhou, Mingyue Cheng, Qingyang Mao, Qi Liu, Feiyang Xu, Xin Li, Enhong Chen
2024 A conf
Enhancing the Completeness of Rationales for Multi-Step Question Answering.
CIKM
Shangzi Xue, Zhenya Huang, Xin Lin, Jiayu Liu, Longhu Qin, Tianhuang Su, Haifeng Liu, Qi Liu
2024 J jnl
Evaluation of Retrieval-Augmented Generation: A Survey.
CoRR
Hao Yu, Aoran Gan, Kai Zhang, Shiwei Tong, Qi Liu, Zhaofeng Liu
2024 A* conf
Event Grounded Criminal Court View Generation with Cooperative (Large) Language Models.
SIGIR
Linan Yue, Qi Liu, Lili Zhao, Li Wang, Weibo Gao, Yanqing An
2024 J jnl
Event Grounded Criminal Court View Generation with Cooperative (Large) Language Models.
CoRR
Linan Yue, Qi Liu, Lili Zhao, Li Wang, Weibo Gao, Yanqing An
2024 J jnl
FedGT: Federated Node Classification with Scalable Graph Transformer.
CoRR
Zaixi Zhang, Qingyong Hu, Yang Yu, Weibo Gao, Qi Liu
2024 — conf
FedJudge: Federated Legal Large Language Model.
DASFAA (5)
Linan Yue, Qi Liu, Yichao Du, Weibo Gao, Ye Liu, Fangzhou Yao
2024 A* conf
Federated Self-Explaining GNNs with Anti-shortcut Augmentations.
ICML
Linan Yue, Qi Liu, Weibo Gao, Ye Liu, Kai Zhang, Yichao Du, Li Wang, Fangzhou Yao
2024 A* conf
FlexSBDD: Structure-Based Drug Design with Flexible Protein Modeling.
NeurIPS
Zaixi Zhang, Mengdi Wang, Qi Liu
2024 A conf
GAP: A Grammar and Position-Aware Framework for Efficient Recognition of Multi-Line Mathematical Formulas.
WSDM
Zhe Yang, Qi Liu, Kai Zhang, Shiwei Tong, Enhong Chen
2024 A* conf
Generalized Protein Pocket Generation with Prior-Informed Flow Matching.
NeurIPS
Zaixi Zhang, Marinka Zitnik, Qi Liu
2024 J jnl
Global and local neural cognitive modeling for student performance prediction.
Expert Syst. Appl.
Yu Su, Shuanghong Shen, Linbo Zhu, Le Wu, Zhenya Huang, Zeyu Cheng, Qi Liu, Shijin Wang
2024 — conf
Granular Entity Mapper: Advancing Fine-grained Multimodal Named Entity Recognition and Grounding.
EMNLP (Findings)
Ziqi Wang, Chen Zhu, Zhi Zheng, Xinhang Li, Tong Xu, Yongyi He, Qi Liu, Ying Yu, Enhong Chen
2024 A conf
Graph-based Student Knowledge Profile for Online Intelligent Education.
SDM
Jinze Wu, Haotian Zhang, Zhenya Huang, Liang Ding, Qi Liu, Jing Sha, Enhong Chen, Shijin Wang
2024 J jnl
HACAN: a hierarchical answer-aware and context-aware network for question generation.
Frontiers Comput. Sci.
Ruijun Sun, Hanqin Tao, Yanmin Chen, Qi Liu
2024 J jnl
Harnessing domain insights: A prompt knowledge tuning method for aspect-based sentiment analysis.
Knowl. Based Syst.
Xinjie Sun, Kai Zhang, Qi Liu, Meikai Bao, Yanjiang Chen
2024 A conf
HeckmanCD: Exploiting Selection Bias in Cognitive Diagnosis.
CIKM
Dongxuan Han, Qi Liu, Siqi Lei, Shiwei Tong, Wei Huang
2024 A* conf
I-AM-G: Interest Augmented Multimodal Generator for Item Personalization.
EMNLP
Xianquan Wang, Likang Wu, Shukang Yin, Zhi Li, Yanjiang Chen, Hufeng Hufeng, Yu Su, Qi Liu
2024 J jnl
KnowPC: Knowledge-Driven Programmatic Reinforcement Learning for Zero-shot Coordination.
CoRR
Yin Gu, Qi Liu, Zhi Li, Kai Zhang
2024 J jnl
Learn while Unlearn: An Iterative Unlearning Framework for Generative Language Models.
CoRR
Haoyu Tang, Ye Liu, Xukai Liu, Kai Zhang, Yanghai Zhang, Qi Liu, Enhong Chen
2024 — conf
Learning Recommender Systems with Soft Target: A Decoupled Perspective.
DASFAA (3)
Hao Zhang, Mingyue Cheng, Qi Liu, Yucong Luo, Rui Li, Enhong Chen
2024 J jnl
Learning Recommender Systems with Soft Target: A Decoupled Perspective.
CoRR
Hao Zhang, Mingyue Cheng, Qi Liu, Yucong Luo, Rui Li, Enhong Chen
2024 J jnl
Learning Relation-Enhanced Hierarchical Solver for Math Word Problems.
IEEE Trans. Neural Networks Learn. Syst.
Xin Lin, Zhenya Huang, Hongke Zhao, Enhong Chen, Qi Liu, Defu Lian, Xin Li, Hao Wang
2024 J jnl
Learning Transferable Time Series Classifier with Cross-Domain Pre-training from Language Model.
CoRR
Mingyue Cheng, Xiaoyu Tao, Qi Liu, Hao Zhang, Yiheng Chen, Chenyi Lei
2024 A conf
Learning the Dynamics in Sequential Recommendation by Exploiting Real-time Information.
CIKM
Rujiao Zhang, Hao Zhang, Yucong Luo, Zhiding Liu, Mingyue Cheng, Qi Liu, Enhong Chen
2024 — conf
Leveraging Entity Information for Cross-Modality Correlation Learning: The Entity-Guided Multimodal Summarization.
ACL (Findings)
Yanghai Zhang, Ye Liu, Shiwei Wu, Kai Zhang, Xukai Liu, Qi Liu, Enhong Chen
2024 J jnl
Leveraging Entity Information for Cross-Modality Correlation Learning: The Entity-Guided Multimodal Summarization.
CoRR
Yanghai Zhang, Ye Liu, Shiwei Wu, Kai Zhang, Xukai Liu, Qi Liu, Enhong Chen
2024 J jnl
Leveraging LLMs for Hypothetical Deduction in Logical Inference: A Neuro-Symbolic Approach.
CoRR
Qingchuan Li, Jiatong Li, Tongxuan Liu, Yuting Zeng, Mingyue Cheng, Weizhe Huang, Qi Liu
2024 — conf
MERGE: Multi-view Relationship Graph Network for Event-Driven Stock Movement Prediction.
APWeb/WAIM (3)
Liu Che, Tong Xu, Qi Liu, Zhi Zheng, Jingyu Peng, Enhong Chen
2024 A* conf
Making LLMs as Fine-Grained Relation Extraction Data Augmentor.
IJCAI
Yifan Zheng, Wenjun Ke, Qi Liu, Yuting Yang, Ruizhuo Zhao, Dacheng Feng, Jianwei Zhang, Zhi Fang
2024 — conf
Mitigating Bias with Incomplete Sensitive Labels: A Confidence-Based Randomization Framework.
DASFAA (4)
Zirui Hu, Zheng Zhang, Qi Liu, Haoyang Bi, Zhenya Huang, Qingyang Mao, Weibo Gao, Wenjun Feng
2024 A conf
Mitigating Cold-Start Problems in Knowledge Tracing with Large Language Models: An Attribute-aware Approach.
CIKM
Yuxiang Guo, Shuanghong Shen, Qi Liu, Zhenya Huang, Linbo Zhu, Yu Su, Enhong Chen
2024 — conf
Mitigating Over-Saturated Fluorescence Images Through a Semi-Supervised Generative Adversarial Network.
ISBI
Shunxing Bao, Junlin Guo, Ho Hin Lee, Ruining Deng, Can Cui, Lucas W. Remedios, Quan Liu, Qi Yang, Kaiwen Xu, Xin Yu, Jia Li, Yike Li, Joseph T. Roland, Qi Liu, Ken S. Lau, Keith T. Wilson, Lori A. Coburn, Bennett A. Landman, Yuankai Huo
2024 J jnl
Model-Agnostic Adaptive Testing for Intelligent Education Systems via Meta-learned Gradient Embeddings.
ACM Trans. Intell. Syst. Technol.
Haoyang Bi, Qi Liu, Han Wu, Weidong He, Zhenya Huang, Yu Yin, Haiping Ma, Yu Su, Shijin Wang, Enhong Chen
2024 — conf
Modeling Learning Transfer Effects in Knowledge Tracing: A Dynamic and Bidirectional Perspective.
DASFAA (2)
Weizhe Huang, Shuanghong Shen, Zhenya Huang, Qi Liu, Junyu Lu, Yu Su
2024 J jnl
Multi-dimensional ability diagnosis for machine learning algorithms.
Sci. China Inf. Sci.
Qi Liu, Zheng Gong, Zhenya Huang, Chuanren Liu, Hengshu Zhu, Zhi Li, Enhong Chen, Hui Xiong
2024 J jnl
Multi-task Information Enhancement Recommendation model for educational Self-Directed Learning System.
Expert Syst. Appl.
Yu Su, Xuejie Yang, Junyu Lu, Yu Liu, Ze Han, Shuanghong Shen, Zhenya Huang, Qi Liu
2024 A* conf
One-bit Deep Hashing: Towards Resource-Efficient Hashing Model with Binary Neural Network.
ACM Multimedia
Liyang He, Zhenya Huang, Chenglong Liu, Rui Li, Runze Wu, Qi Liu, Enhong Chen
2024 A* conf
OneNet: A Fine-Tuning Free Framework for Few-Shot Entity Linking via Large Language Model Prompting.
EMNLP
Xukai Liu, Ye Liu, Kai Zhang, Kehang Wang, Qi Liu, Enhong Chen
2024 J jnl
OneNet: A Fine-Tuning Free Framework for Few-Shot Entity Linking via Large Language Model Prompting.
CoRR
Xukai Liu, Ye Liu, Kai Zhang, Kehang Wang, Qi Liu, Enhong Chen
2024 A* conf
Optimizing Code Retrieval: High-Quality and Scalable Dataset Annotation through Large Language Models.
EMNLP
Rui Li, Qi Liu, Liyang He, Zheng Zhang, Hao Zhang, Shengyu Ye, Junyu Lu, Zhenya Huang
2024 J jnl
Optimizing Student Ability Assessment: A Hierarchy Constraint-Aware Cognitive Diagnosis Framework for Educational Contexts.
CoRR
Xinjie Sun, Qi Liu, Kai Zhang, Shuanghong Shen, Fei Wang, Yan Zhuang, Zheng Zhang, Weiyin Gong, Shijin Wang, Lina Yang, Xingying Huo
2024 J jnl
Perceptual Quality Assessment of Octree-RAHT Encoded 3D Point Clouds.
CoRR
Dongshuai Duan, Honglei Su, Qi Liu, Hui Yuan, Wei Gao, Jiarun Song, Zhou Wang
2024 J jnl
Perceptual Quality Assessment of Trisoup-Lifting Encoded 3D Point Clouds.
CoRR
Juncheng Long, Honglei Su, Qi Liu, Hui Yuan, Wei Gao, Jiarun Song, Zhou Wang
2024 A* conf
PertEval: Unveiling Real Knowledge Capacity of LLMs with Knowledge-Invariant Perturbations.
NeurIPS
Jiatong Li, Renjun Hu, Kunzhe Huang, Yan Zhuang, Qi Liu, Mengxiao Zhu, Xing Shi, Wei Lin
2024 J jnl
PertEval: Unveiling Real Knowledge Capacity of LLMs with Knowledge-Invariant Perturbations.
CoRR
Jiatong Li, Renjun Hu, Kunzhe Huang, Yan Zhuang, Qi Liu, Mengxiao Zhu, Xing Shi, Wei Lin
2024 J jnl
PoTable: Programming Standardly on Table-based Reasoning Like a Human Analyst.
CoRR
Qingyang Mao, Qi Liu, Zhi Li, Mingyue Cheng, Zheng Zhang, Rui Li
2024 — conf
Post-hoc Facts augmented Legal Judgment Prediction.
DASFAA (2)
Yanqing An, Linan Yue, Weibo Gao, Kai Zhang, Qi Liu
2024 J jnl
Pre-trained Language Model and Knowledge Distillation for Lightweight Sequential Recommendation.
CoRR
Li Li, Mingyue Cheng, Zhiding Liu, Hao Zhang, Qi Liu, Enhong Chen
2024 — conf
QoMRC: Query-oriented Machine Reading Comprehension Framework for Aspect Sentiment Triplet Extraction.
DASFAA (5)
Kehang Wang, Ye Liu, Kai Zhang, Qi Liu, Yankun Ren, Xinxing Yang, Longfei Li, Jun Zhou
2024 — conf
RePair: Automated Program Repair with Process-based Feedback.
ACL (Findings)
Yuze Zhao, Zhenya Huang, Yixiao Ma, Rui Li, Kai Zhang, Hao Jiang, Qi Liu, Linbo Zhu, Yu Su
2024 J jnl
RePair: Automated Program Repair with Process-based Feedback.
CoRR
Yuze Zhao, Zhenya Huang, Yixiao Ma, Rui Li, Kai Zhang, Hao Jiang, Qi Liu, Linbo Zhu, Yu Su
2024 J jnl
RecFlow: An Industrial Full Flow Recommendation Dataset.
CoRR
Qi Liu, Kai Zheng, Rui Huang, Wuchao Li, Kuo Cai, Yuan Chai, Yanan Niu, Yiqun Hui, Bing Han, Na Mou, Hongning Wang, Wentian Bao, Yunen Yu, Guorui Zhou, Han Li, Yang Song, Defu Lian, Kun Gai
2024 — conf
Reformulating Sequential Recommendation: Learning Dynamic User Interest with Content-enriched Language Modeling.
DASFAA (3)
Junzhe Jiang, Shang Qu, Mingyue Cheng, Qi Liu, Zhiding Liu, Hao Zhang, Rujiao Zhang, Kai Zhang, Rui Li, Jiatong Li, Min Gao
2024 J jnl
Revisiting the Solution of Meta KDD Cup 2024: CRAG.
CoRR
Jie Ouyang, Yucong Luo, Mingyue Cheng, Daoyu Wang, Shuo Yu, Qi Liu, Enhong Chen
2024 A* conf
SocraticLM: Exploring Socratic Personalized Teaching with Large Language Models.
NeurIPS
Jiayu Liu, Zhenya Huang, Tong Xiao, Jing Sha, Jinze Wu, Qi Liu, Shijin Wang, Enhong Chen
2024 J jnl
Stepwise Reasoning Error Disruption Attack of LLMs.
CoRR
Jingyu Peng, Maolin Wang, Xiangyu Zhao, Kai Zhang, Wanyu Wang, Pengyue Jia, Qidong Liu, Ruocheng Guo, Qi Liu
2024 J jnl
Survey of Computerized Adaptive Testing: A Machine Learning Perspective.
CoRR
Qi Liu, Yan Zhuang, Haoyang Bi, Zhenya Huang, Weizhe Huang, Jiatong Li, Junhao Yu, Zirui Liu, Zirui Hu, Yuting Hong, Zachary A. Pardos, Haiping Ma, Mengxiao Zhu, Shijin Wang, Enhong Chen
2024 J jnl
TableTime: Reformulating Time Series Classification as Zero-Shot Table Understanding via Large Language Models.
CoRR
Jiahao Wang, Mingyue Cheng, Qingyang Mao, Qi Liu, Feiyang Xu, Xin Li, Enhong Chen
2024 J jnl
Target hierarchy-guided knowledge tracing : Fine-grained knowledge state modeling.
Expert Syst. Appl.
Xinjie Sun, Kai Zhang, Shuanghong Shen, Fei Wang, Yuxiang Guo, Qi Liu
2024 A* conf
Towards Accurate and Fair Cognitive Diagnosis via Monotonic Data Augmentation.
NeurIPS
Zheng Zhang, Wei Song, Qi Liu, Qingyang Mao, Yiyan Wang, Weibo Gao, Zhenya Huang, Shijin Wang, Enhong Chen
2024 — conf
Towards Explainable Computerized Adaptive Testing with Large Language Model.
EMNLP (Findings)
Cheng Cheng, Guanhao Zhao, Zhenya Huang, Yan Zhuang, Zhaoyuan Pan, Qi Liu, Xin Li, Enhong Chen
2024 A* conf
Towards Faithful Explanations: Boosting Rationalization with Shortcuts Discovery.
ICLR
Linan Yue, Qi Liu, Yichao Du, Li Wang, Weibo Gao, Yanqing An
2024 J jnl
Towards Faithful Explanations: Boosting Rationalization with Shortcuts Discovery.
CoRR
Linan Yue, Qi Liu, Yichao Du, Li Wang, Weibo Gao, Yanqing An
2024 — conf
Towards Few-Shot Self-explaining Graph Neural Networks.
ECML/PKDD (6)
Jingyu Peng, Qi Liu, Linan Yue, Zaixi Zhang, Kai Zhang, Yunhao Sha
2024 J jnl
Towards Few-shot Self-explaining Graph Neural Networks.
CoRR
Jingyu Peng, Qi Liu, Linan Yue, Zaixi Zhang, Kai Zhang, Yunhao Sha
2024 — conf
Towards Personalized Evaluation of Large Language Models with An Anonymous Crowd-Sourcing Platform.
WWW (Companion Volume)
Mingyue Cheng, Hao Zhang, Jiqian Yang, Qi Liu, Li Li, Xin Huang, Liwei Song, Zhi Li, Zhenya Huang, Enhong Chen
2024 J jnl
Towards Personalized Evaluation of Large Language Models with An Anonymous Crowd-Sourcing Platform.
CoRR
Mingyue Cheng, Hao Zhang, Jiqian Yang, Qi Liu, Li Li, Xin Huang, Liwei Song, Zhi Li, Zhenya Huang, Enhong Chen
2024 A* conf
Towards the Identifiability and Explainability for Personalized Learner Modeling: An Inductive Paradigm.
WWW
Jiatong Li, Qi Liu, Fei Wang, Jiayu Liu, Zhenya Huang, Fangzhou Yao, Linbo Zhu, Yu Su
2024 J jnl
Training Recommenders Over Large Item Corpus With Importance Sampling.
IEEE Trans. Knowl. Data Eng.
Defu Lian, Zhenguo Gao, Xia Song, Yucheng Li, Qi Liu, Enhong Chen
2024 J jnl
Understanding and improving fairness in cognitive diagnosis.
Sci. China Inf. Sci.
Zheng Zhang, Le Wu, Qi Liu, Jiayu Liu, Zhenya Huang, Yu Yin, Yan Zhuang, Weibo Gao, Enhong Chen
2024 J jnl
Understanding the Role of LLMs in Multimodal Evaluation Benchmarks.
CoRR
Botian Jiang, Lei Li, Xiaonan Li, Zhaowei Li, Xiachong Feng, Lingpeng Kong, Qi Liu, Xipeng Qiu
2024 A conf
UniMEL: A Unified Framework for Multimodal Entity Linking with Large Language Models.
CIKM
Qi Liu, Yongyi He, Tong Xu, Defu Lian, Che Liu, Zhi Zheng, Enhong Chen
2024 J jnl
UniMEL: A Unified Framework for Multimodal Entity Linking with Large Language Models.
CoRR
Qi Liu, Yongyi He, Defu Lian, Zhi Zheng, Tong Xu, Liu Che, Enhong Chen
2024 A* conf
Unified Uncertainty Estimation for Cognitive Diagnosis Models.
WWW
Fei Wang, Qi Liu, Enhong Chen, Chuanren Liu, Zhenya Huang, Jinze Wu, Shijin Wang
2024 J jnl
Unified Uncertainty Estimation for Cognitive Diagnosis Models.
CoRR
Fei Wang, Qi Liu, Enhong Chen, Chuanren Liu, Zhenya Huang, Jinze Wu, Shijin Wang
2024 J jnl
When large language models meet personalization: perspectives of challenges and opportunities.
World Wide Web (WWW)
Jin Chen, Zheng Liu, Xu Huang, Chenwang Wu, Qi Liu, Gangwei Jiang, Yuanhao Pu, Yuxuan Lei, Xiaolong Chen, Xingmei Wang, Kai Zheng, Defu Lian, Enhong Chen
2024 A* conf
Zero-1-to-3: Domain-Level Zero-Shot Cognitive Diagnosis via One Batch of Early-Bird Students towards Three Diagnostic Objectives.
AAAI
Weibo Gao, Qi Liu, Hao Wang, Linan Yue, Haoyang Bi, Yin Gu, Fangzhou Yao, Zheng Zhang, Xin Li, Yuanjing He
2024 A* conf
π-Light: Programmatic Interpretable Reinforcement Learning for Resource-Limited Traffic Signal Control.
AAAI
Yin Gu, Kai Zhang, Qi Liu, Weibo Gao, Longfei Li, Jun Zhou
2023 J jnl
A Blockchain-Based Secure Searching Strategy for Metadata in Mobile Edge Computing.
IEEE Internet Things J.
Wenlong Tian, Qi Liu, Ruixuan Li, Zhiyong Xu, Yan Zhang, Yongfeng Huang
2023 A* conf
A Bounded Ability Estimation for Computerized Adaptive Testing.
NeurIPS
Yan Zhuang, Qi Liu, Guanhao Zhao, Zhenya Huang, Weizhe Huang, Zachary A. Pardos, Enhong Chen, Jinze Wu, Xin Li
2023 A* conf
A Mathematical Word Problem Generator with Structure Planning and Knowledge Enhancement.
SIGIR
Longhu Qin, Jiayu Liu, Zhenya Huang, Kai Zhang, Qi Liu, Binbin Jin, Enhong Chen
2023 J jnl
A Novel Approach for Auto-Formulation of Optimization Problems.
CoRR
Yuting Ning, Jiayu Liu, Longhu Qin, Tong Xiao, Shangzi Xue, Zhenya Huang, Qi Liu, Enhong Chen, Jinze Wu
2023 J jnl
A Probabilistic Framework for Temporal Cognitive Diagnosis in Online Learning Systems.
J. Comput. Sci. Technol.
Jia-Yu Liu, Fei Wang, Haiping Ma, Zhenya Huang, Qi Liu, En-Hong Chen, Yu Su
2023 J jnl
A Search Space Reduction-Based Progressive Evolutionary Algorithm for Influence Maximization in Social Networks.
IEEE Trans. Comput. Soc. Syst.
Lei Zhang, Kaicong Ma, Haipeng Yang, Cheng Zhang, Haiping Ma, Qi Liu
2023 J jnl
A Survey of Reasoning with Foundation Models.
CoRR
Jiankai Sun, Chuanyang Zheng, Enze Xie, Zhengying Liu, Ruihang Chu, Jianing Qiu, Jiaqi Xu, Mingyu Ding, Hongyang Li, Mengzhe Geng, Yue Wu, Wenhai Wang, Junsong Chen, Zhangyue Yin, Xiaozhe Ren, Jie Fu, Junxian He, Wu Yuan, Qi Liu, Xihui Liu, Yu Li, Hao Dong, Yu Cheng, Ming Zhang, Pheng-Ann Heng, Jifeng Dai, Ping Luo, Jingdong Wang, Ji-Rong Wen, Xipeng Qiu, Yike Guo, Hui Xiong, Qun Liu, Zhenguo Li
2023 J jnl
A Survey on Large Language Models for Recommendation.
CoRR
Likang Wu, Zhi Zheng, Zhaopeng Qiu, Hao Wang, Hongchao Gu, Tingjia Shen, Chuan Qin, Chen Zhu, Hengshu Zhu, Qi Liu, Hui Xiong, Enhong Chen
2023 J jnl
A Systematic Survey in Geometric Deep Learning for Structure-based Drug Design.
CoRR
Zaixi Zhang, Jiaxian Yan, Qi Liu, Enhong Chen
2023 J jnl
A transformer with layer-cross decoding for remaining useful life prediction.
J. Supercomput.
Peng Guo, Qi Liu, Shui Yu, Jianyu Xiong, Xiang Tan, Chao Guo
2023 J jnl
AT4CTR: Auxiliary Match Tasks for Enhancing Click-Through Rate Prediction.
CoRR
Qi Liu, Xuyang Hou, Defu Lian, Zhe Wang, Haoran Jin, Jia Cheng, Jun Lei
2023 A* conf
Actor-Multi-Scale Context Bidirectional Higher Order Interactive Relation Network for Spatial-Temporal Action Localization.
IJCAI
Jun Yu, Yingshuai Zheng, Shulan Ruan, Qi Liu, Zhiyuan Cheng, Jinze Wu
2023 A* conf
AdaptSSR: Pre-training User Model with Augmentation-Adaptive Self-Supervised Ranking.
NeurIPS
Yang Yu, Qi Liu, Kai Zhang, Yuren Zhang, Chao Song, Min Hou, Yuqing Yuan, Zhihao Ye, Zaixi Zhang, Sanshi Lei Yu
2023 J jnl
AdaptSSR: Pre-training User Model with Augmentation-Adaptive Self-Supervised Ranking.
CoRR
Yang Yu, Qi Liu, Kai Zhang, Yuren Zhang, Chao Song, Min Hou, Yuqing Yuan, Zhihao Ye, Zaixi Zhang, Sanshi Lei Yu
2023 A* conf
Adaptive Normalization for Non-stationary Time Series Forecasting: A Temporal Slice Perspective.
NeurIPS
Zhiding Liu, Mingyue Cheng, Zhi Li, Zhenya Huang, Qi Liu, Yanhu Xie, Enhong Chen
2023 J jnl
An Efficient and Robust Semantic Hashing Framework for Similar Text Search.
ACM Trans. Inf. Syst.
Liyang He, Zhenya Huang, Enhong Chen, Qi Liu, Shiwei Tong, Hao Wang, Defu Lian, Shijin Wang
2023 J jnl
An Empirical Study of User Engagement in Influencer Marketing on Weibo and WeChat.
IEEE Trans. Comput. Soc. Syst.
Jun Wang, Yu Yang, Qi Liu, Zheng Fang, Shujuan Sun, Yabo Xu
2023 J jnl
An Ensemble Learning Approach with Gradient Resampling for Class-Imbalance Problems.
INFORMS J. Comput.
Hongke Zhao, Chuang Zhao, Xi Zhang, Nanlin Liu, Hengshu Zhu, Qi Liu, Hui Xiong
2023 J jnl
An Equivariant Generative Framework for Molecular Graph-Structure Co-Design.
CoRR
Zaixi Zhang, Qi Liu, Chee-Kong Lee, Chang-Yu Hsieh, Enhong Chen
2023 A* conf
Backdoor Defense via Deconfounded Representation Learning.
CVPR
Zaixi Zhang, Qi Liu, Zhicai Wang, Zepu Lu, Qingyong Hu
2023 J jnl
Backdoor Defense via Deconfounded Representation Learning.
CoRR
Zaixi Zhang, Qi Liu, Zhicai Wang, Zepu Lu, Qingyong Hu
2023 A* conf
Beyond Homophily: Robust Graph Anomaly Detection via Neural Sparsification.
IJCAI
Zheng Gong, Guifeng Wang, Ying Sun, Qi Liu, Yuting Ning, Hui Xiong, Jingyu Peng
2023 — conf
Class-Dynamic and Hierarchy-Constrained Network for Entity Linking.
DASFAA (2)
Kehang Wang, Qi Liu, Kai Zhang, Ye Liu, Hanqing Tao, Zhenya Huang, Enhong Chen
2023 A* conf
Cognitive Evolutionary Search to Select Feature Interactions for Click-Through Rate Prediction.
KDD
Runlong Yu, Xiang Xu, Yuyang Ye, Qi Liu, Enhong Chen
2023 A* conf
Collaborative List-and-Pairwise Filtering from Implicit Feedback : Extended Abstract.
ICDE
Runlong Yu, Qi Liu, Yuyang Ye, Mingyue Cheng, Enhong Chen, Jianhui Ma
2023 J jnl
Composing Like an Ancient Chinese Poet: Learn to Generate Rhythmic Chinese Poetry.
J. Comput. Sci. Technol.
Ming He, Yan Chen, Hongke Zhao, Qi Liu, Le Wu, Yu Cui, Guihua Zeng, Guiquan Liu
2023 J jnl
Decoupled Representation Learning for Attributed Networks.
IEEE Trans. Knowl. Data Eng.
Hao Wang, Defu Lian, Hanghang Tong, Qi Liu, Zhenya Huang, Enhong Chen
2023 A conf
Deep Context Interest Network for Click-Through Rate Prediction.
CIKM
Xuyang Hou, Zhe Wang, Qi Liu, Tan Qu, Jia Cheng, Jun Lei
2023 J jnl
Deep Context Interest Network for Click-Through Rate Prediction.
CoRR
Xuyang Hou, Zhe Wang, Qi Liu, Tan Qu, Jia Cheng, Jun Lei
2023 J jnl
Deep Group Interest Modeling of Full Lifelong User Behaviors for CTR Prediction.
CoRR
Qi Liu, Xuyang Hou, Haoran Jin, Jin Chen, Zhe Wang, Defu Lian, Tan Qu, Jia Cheng, Jun Lei
2023 A conf
Deep Task-specific Bottom Representation Network for Multi-Task Recommendation.
CIKM
Qi Liu, Zhilong Zhou, Gangwei Jiang, Tiezheng Ge, Defu Lian
2023 J jnl
Deep Task-specific Bottom Representation Network for Multi-Task Recommendation.
CoRR
Qi Liu, Zhilong Zhou, Gangwei Jiang, Tiezheng Ge, Defu Lian
2023 — conf
Diagnosis Then Aggregation: An Adaptive Ensemble Strategy for Keyphrase Extraction.
CICAI (1)
Xin Jin, Qi Liu, Linan Yue, Ye Liu, Lili Zhao, Weibo Gao, Zheng Gong, Kai Zhang, Haoyang Bi
2023 J jnl
Distributed Fault-Tolerant Containment Control Protocols for the Discrete-Time Multiagent Systems via Reinforcement Learning Method.
IEEE Trans. Neural Networks Learn. Syst.
Tieshan Li, Weiwei Bai, Qi Liu, Yue Long, C. L. Philip Chen
2023 J jnl
Dynamic Cognitive Diagnosis: An Educational Priors-Enhanced Deep Knowledge Tracing Perspective.
IEEE Trans. Learn. Technol.
Fei Wang, Zhenya Huang, Qi Liu, Enhong Chen, Yu Yin, Jianhui Ma, Shijin Wang
2023 J jnl
EATN: An Efficient Adaptive Transfer Network for Aspect-Level Sentiment Analysis.
IEEE Trans. Knowl. Data Eng.
Kai Zhang, Qi Liu, Hao Qian, Biao Xiang, Qing Cui, Jun Zhou, Enhong Chen
2023 J jnl
Efficiently Measuring the Cognitive Ability of LLMs: An Adaptive Testing Perspective.
CoRR
Yan Zhuang, Qi Liu, Yuting Ning, Weizhe Huang, Rui Lv, Zhenya Huang, Guanhao Zhao, Zheng Zhang, Qingyang Mao, Shijin Wang, Enhong Chen
2023 — conf
Enhancing Hierarchical Text Classification through Knowledge Graph Integration.
ACL (Findings)
Ye Liu, Kai Zhang, Zhenya Huang, Kehang Wang, Yanghai Zhang, Qi Liu, Enhong Chen
2023 A* conf
Exploiting Non-Interactive Exercises in Cognitive Diagnosis.
IJCAI
Fangzhou Yao, Qi Liu, Min Hou, Shiwei Tong, Zhenya Huang, Enhong Chen, Jing Sha, Shijin Wang
2023 A* conf
FairLISA: Fair User Modeling with Limited Sensitive Attributes Information.
NeurIPS
Zheng Zhang, Qi Liu, Hao Jiang, Fei Wang, Yan Zhuang, Le Wu, Weibo Gao, Enhong Chen
2023 J jnl
FedJudge: Federated Legal Large Language Model.
CoRR
Linan Yue, Qi Liu, Yichao Du, Weibo Gao, Ye Liu, Fangzhou Yao
2023 A conf
Federated News Recommendation with Fine-grained Interpolation and Dynamic Clustering.
CIKM
Sanshi Lei Yu, Qi Liu, Fei Wang, Yang Yu, Enhong Chen
2023 J jnl
Federated User Modeling from Hierarchical Information.
ACM Trans. Inf. Syst.
Qi Liu, Jinze Wu, Zhenya Huang, Hao Wang, Yuting Ning, Ming Chen, Enhong Chen, Jinfeng Yi, Bowen Zhou
2023 A* conf
FormerTime: Hierarchical Multi-Scale Representations for Multivariate Time Series Classification.
WWW
Mingyue Cheng, Qi Liu, Zhiding Liu, Zhi Li, Yucong Luo, Enhong Chen
2023 J jnl
FormerTime: Hierarchical Multi-Scale Representations for Multivariate Time Series Classification.
CoRR
Mingyue Cheng, Qi Liu, Zhiding Liu, Zhi Li, Yucong Luo, Enhong Chen
2023 A* conf
Full-Atom Protein Pocket Design via Iterative Refinement.
NeurIPS
Zaixi Zhang, Zepu Lu, Zhongkai Hao, Marinka Zitnik, Qi Liu
2023 A* conf
Guiding Mathematical Reasoning via Mastering Commonsense Formula Knowledge.
KDD
Jiayu Liu, Zhenya Huang, Zhiyuan Ma, Qi Liu, Enhong Chen, Tianhuang Su, Haifeng Liu
2023 J jnl
HMNet: a hierarchical multi-modal network for educational video concept prediction.
Int. J. Mach. Learn. Cybern.
Wei Huang, Tong Xiao, Qi Liu, Zhenya Huang, Jianhui Ma, Enhong Chen
2023 J jnl
HmcNet: A General Approach for Hierarchical Multi-Label Classification.
IEEE Trans. Knowl. Data Eng.
Wei Huang, Enhong Chen, Qi Liu, Hui Xiong, Zhenya Huang, Shiwei Tong, Dan Zhang
2023 J jnl
ICL-Net: Global and Local Inter-Pixel Correlations Learning Network for Skin Lesion Segmentation.
IEEE J. Biomed. Health Informatics
Weiwei Cao, Gang Yuan, Qi Liu, Chengtao Peng, Jing Xie, Xiaodong Yang, Xinye Ni, Jian Zheng
2023 J jnl
Identifiable Cognitive Diagnosis with Encoder-decoder for Modelling Students' Performance.
CoRR
Jiatong Li, Qi Liu, Fei Wang, Jiayu Liu, Zhenya Huang, Enhong Chen
2023 J jnl
Interactive Natural Language Processing.
CoRR
Zekun Wang, Ge Zhang, Kexin Yang, Ning Shi, Wangchunshu Zhou, Shaochun Hao, Guangzheng Xiong, Yizhi Li, Mong Yuan Sim, Xiuying Chen, Qingqing Zhu, Zhenzhu Yang, Adam Nik, Qi Liu, Chenghua Lin, Shi Wang, Ruibo Liu, Wenhu Chen, Ke Xu, Dayiheng Liu, Yike Guo, Jie Fu
2023 A* conf
Interventional Rationalization.
EMNLP
Linan Yue, Qi Liu, Li Wang, Yanqing An, Yichao Du, Zhenya Huang
2023 A* conf
Keep Skills in Mind: Understanding and Implementing Skills in Commonsense Question Answering.
IJCAI
Meikai Bao, Qi Liu, Kai Zhang, Ye Liu, Linan Yue, Longfei Li, Jun Zhou
2023 J jnl
LadRa-Net: Locally Aware Dynamic Reread Attention Net for Sentence Semantic Matching.
IEEE Trans. Neural Networks Learn. Syst.
Kun Zhang, Guangyi Lv, Le Wu, Enhong Chen, Qi Liu, Meng Wang
2023 A* conf
Learning Behavior-oriented Knowledge Tracing.
KDD
Bihan Xu, Zhenya Huang, Jiayu Liu, Shuanghong Shen, Qi Liu, Enhong Chen, Jinze Wu, Shijin Wang
2023 J jnl
Learning From Ideography and Labels: A Schema-Aware Radical-Guided Associative Model for Chinese Text Classification.
IEEE Trans. Knowl. Data Eng.
Hanqing Tao, Guanqi Zhu, Enhong Chen, Shiwei Tong, Kun Zhang, Tong Xu, Qi Liu, Yew-Soon Ong
2023 A* conf
Learning Subpocket Prototypes for Generalizable Structure-based Drug Design.
ICML
Zaixi Zhang, Qi Liu
2023 J jnl
Learning Subpocket Prototypes for Generalizable Structure-based Drug Design.
CoRR
Zaixi Zhang, Qi Liu
2023 A* conf
Learning by Applying: A General Framework for Mathematical Reasoning via Enhancing Explicit Knowledge Learning.
AAAI
Jiayu Liu, Zhenya Huang, ChengXiang Zhai, Qi Liu
2023 J jnl
Learning by Applying: A General Framework for Mathematical Reasoning via Enhancing Explicit Knowledge Learning.
CoRR
Jiayu Liu, Zhenya Huang, ChengXiang Zhai, Qi Liu
2023 J jnl
Learning the Explainable Semantic Relations via Unified Graph Topic-Disentangled Neural Networks.
ACM Trans. Knowl. Discov. Data
Likang Wu, Hongke Zhao, Zhi Li, Zhenya Huang, Qi Liu, Enhong Chen
2023 A* conf
Leveraging Transferable Knowledge Concept Graph Embedding for Cold-Start Cognitive Diagnosis.
SIGIR
Weibo Gao, Hao Wang, Qi Liu, Fei Wang, Xin Lin, Linan Yue, Zheng Zhang, Rui Lv, Shijin Wang
2023 A* conf
MassNE: Exploring Higher-Order Interactions with Marginal Effect for Massive Battle Outcome Prediction.
WWW
Yin Gu, Kai Zhang, Qi Liu, Xin Lin, Zhenya Huang, Enhong Chen
2023 J jnl
Model Inversion Attacks Against Graph Neural Networks.
IEEE Trans. Knowl. Data Eng.
Zaixi Zhang, Qi Liu, Zhenya Huang, Hao Wang, Chee-Kong Lee, Enhong Chen
2023 A* conf
Molecule Generation For Target Protein Binding with Structural Motifs.
ICLR
Zaixi Zhang, Yaosen Min, Shuxin Zheng, Qi Liu
2023 J jnl
Monitoring Student Progress for Learning Process-Consistent Knowledge Tracing.
IEEE Trans. Knowl. Data Eng.
Shuanghong Shen, Enhong Chen, Qi Liu, Zhenya Huang, Wei Huang, Yu Yin, Yu Su, Shijin Wang
2023 J jnl
Multi-Dimensional Ability Diagnosis for Machine Learning Algorithms.
CoRR
Qi Liu, Zheng Gong, Zhenya Huang, Chuanren Liu, Hengshu Zhu, Zhi Li, Enhong Chen, Hui Xiong
2023 J jnl
Multi-scale Iterative Refinement towards Robust and Versatile Molecular Docking.
CoRR
Jiaxian Yan, Zaixi Zhang, Kai Zhang, Qi Liu
2023 J jnl
NeuralCD: A General Framework for Cognitive Diagnosis.
IEEE Trans. Knowl. Data Eng.
Fei Wang, Qi Liu, Enhong Chen, Zhenya Huang, Yu Yin, Shijin Wang, Yu Su
2023 J jnl
On the Opportunities of Green Computing: A Survey.
CoRR
You Zhou, Xiujing Lin, Xiang Zhang, Maolin Wang, Gangwei Jiang, Huakang Lu, Yupeng Wu, Kai Zhang, Zhe Yang, Kehang Wang, Yongduo Sui, Fengwei Jia, Zuoli Tang, Yao Zhao, Hongxuan Zhang, Tiannuo Yang, Weibo Chen, Yunong Mao, Yi Li, De Bao, Yu Li, Hongrui Liao, Ting Liu, Jingwen Liu, Jinchi Guo, Xiangyu Zhao, Ying Wei, Hong Qian, Qi Liu, Xiang Wang, Wai Kin Chan, Chenliang Li, Yusen Li, Shiyu Yang, Jining Yan, Chao Mou, Shuai Han, Wuxia Jin, Guannan Zhang, Xiaodong Zeng
2023 J jnl
Overlapping community-based particle swarm optimization algorithm for influence maximization in social networks.
CAAI Trans. Intell. Technol.
Lei Zhang, Yutong Liu, Haipeng Yang, Fan Cheng, Qi Liu, Xingyi Zhang
2023 A conf
PaperLM: A Pre-trained Model for Hierarchical Examination Paper Representation Learning.
CIKM
Minghui Shan, Yixiao Ma, Shulan Ruan, Zhi Cao, Shiwei Tong, Qi Liu, Yu Su, Shijin Wang
2023 J jnl
Personal or General? A Hybrid Strategy with Multi-factors for News Recommendation.
ACM Trans. Inf. Syst.
Zhenya Huang, Binbin Jin, Hongke Zhao, Qi Liu, Defu Lian, Tengfei Bao, Enhong Chen
2023 J jnl
Quiz-based Knowledge Tracing.
CoRR
Shuanghong Shen, Enhong Chen, Bihan Xu, Qi Liu, Zhenya Huang, Linbo Zhu, Yu Su
2023 A* conf
Recognizing Unseen Objects via Multimodal Intensive Knowledge Graph Propagation.
KDD
Likang Wu, Zhi Li, Hongke Zhao, Zhefeng Wang, Qi Liu, Baoxing Huai, Nicholas Jing Yuan, Enhong Chen
2023 J jnl
Recognizing Unseen Objects via Multimodal Intensive Knowledge Graph Propagation.
CoRR
Likang Wu, Zhi Li, Hongke Zhao, Zhefeng Wang, Qi Liu, Baoxing Huai, Nicholas Jing Yuan, Enhong Chen
2023 J jnl
Reformulating Sequential Recommendation: Learning Dynamic User Interest with Content-enriched Language Modeling.
CoRR
Junzhe Jiang, Shang Qu, Mingyue Cheng, Qi Liu
2023 A conf
Search-Efficient Computerized Adaptive Testing.
CIKM
Yuting Hong, Shiwei Tong, Wei Huang, Yan Zhuang, Qi Liu, Enhong Chen, Xin Li, Yuanjing He
2023 — conf
ShapeWordNet: An Interpretable Shapelet Neural Network for Physiological Signal Classification.
DASFAA (4)
Wenqiang He, Mingyue Cheng, Qi Liu, Zhi Li
2023 J jnl
ShapeWordNet: An Interpretable Shapelet Neural Network for Physiological Signal Classification.
CoRR
Wenqiang He, Mingyue Cheng, Qi Liu, Zhi Li
2023 A conf
Simulating Student Interactions with Two-stage Imitation Learning for Intelligent Educational Systems.
CIKM
Guanhao Zhao, Zhenya Huang, Yan Zhuang, Jiayu Liu, Qi Liu, Zhiding Liu, Jinze Wu, Enhong Chen
2023 J jnl
Sparse Attention-Based Neural Networks for Code Classification.
CoRR
Ziyang Xiang, Zaixi Zhang, Qi Liu
2023 J jnl
TechPat: Technical Phrase Extraction for Patent Mining.
ACM Trans. Knowl. Discov. Data
Ye Liu, Han Wu, Zhenya Huang, Hao Wang, Yuting Ning, Jianhui Ma, Qi Liu, Enhong Chen
2023 J jnl
TimeMAE: Self-Supervised Representations of Time Series with Decoupled Masked Autoencoders.
CoRR
Mingyue Cheng, Qi Liu, Zhiding Liu, Hao Zhang, Rujiao Zhang, Enhong Chen
2023 J jnl
Towards Automatic Sampling of User Behaviors for Sequential Recommender Systems.
CoRR
Hao Zhang, Mingyue Cheng, Qi Liu, Zhiding Liu, Enhong Chen
2023 A* conf
Tracing Knowledge Instead of Patterns: Stable Knowledge Tracing with Diagnostic Transformer.
WWW
Yu Yin, Le Dai, Zhenya Huang, Shuanghong Shen, Fei Wang, Qi Liu, Enhong Chen, Xin Li
2023 J jnl
Unlocking the Potential of Large Language Models for Explainable Recommendations.
CoRR
Yucong Luo, Mingyue Cheng, Hao Zhang, Junyu Lu, Qi Liu, Enhong Chen
2023 A* conf
Untargeted Attack against Federated Recommendation Systems via Poisonous Item Embeddings and the Defense.
AAAI
Yang Yu, Qi Liu, Likang Wu, Runlong Yu, Sanshi Lei Yu, Zaixi Zhang
2023 A* conf
Using Entropy for Group Sampling in Pairwise Ranking from implicit feedback.
SIGIR
Yujie Chen, Runlong Yu, Qi Liu, Enhong Chen, Zhenya Huang
2023 J jnl
What is Market Talking About? Market-Oriented Prospect Analysis for Entrepreneur Fundraising.
IEEE Trans. Knowl. Data Eng.
Hongke Zhao, Yihang Cheng, Xi Zhang, Hengshu Zhu, Qi Liu, Hui Xiong, Wei Zhang
2023 J jnl
When Large Language Models Meet Personalization: Perspectives of Challenges and Opportunities.
CoRR
Jin Chen, Zheng Liu, Xu Huang, Chenwang Wu, Qi Liu, Gangwei Jiang, Yuanhao Pu, Yuxuan Lei, Xiaolong Chen, Xingmei Wang, Defu Lian, Enhong Chen
2023 J jnl
Zero-1-to-3: Domain-level Zero-shot Cognitive Diagnosis via One Batch of Early-bird Students towards Three Diagnostic Objectives.
CoRR
Weibo Gao, Qi Liu, Hao Wang, Linan Yue, Haoyang Bi, Yin Gu, Fangzhou Yao, Zheng Zhang, Xin Li, Yuanjing He
2022 A* conf
A Cognitive Solver with Autonomously Knowledge Learning for Reasoning Mathematical Answers.
ICDM
Jiayu Liu, Zhenya Huang, Xin Lin, Qi Liu, Jianhui Ma, Enhong Chen
2022 A conf
A Hyperbolic-to-Hyperbolic User Representation with Multi-aspect for Social Recommendation.
CIKM
Hang Zhang, Hao Wang, Guifeng Wang, Jiayu Liu, Qi Liu
2022 A conf
A Prerequisite Attention Model for Knowledge Proficiency Diagnosis of Students.
CIKM
Haiping Ma, Jinwei Zhu, Shangshang Yang, Qi Liu, Haifeng Zhang, Xingyi Zhang, Yunbo Cao, Xuemin Zhao
2022 A* conf
A Robust Computerized Adaptive Testing Approach in Educational Question Retrieval.
SIGIR
Yan Zhuang, Qi Liu, Zhenya Huang, Zhi Li, Binbin Jin, Haoyang Bi, Enhong Chen, Shijin Wang
2022 J jnl
A hierarchical interactive multi-channel graph neural network for technological knowledge flow forecasting.
Knowl. Inf. Syst.
Huijie Liu, Han Wu, Le Zhang, Runlong Yu, Ye Liu, Chunli Liu, Minglei Li, Qi Liu, Enhong Chen
2022 J jnl
Accelerating local SGD for non-IID data using variance reduction.
Frontiers Comput. Sci.
Xianfeng Liang, Shuheng Shen, Enhong Chen, Jinchang Liu, Qi Liu, Yifei Cheng, Zhen Pan
2022 A conf
AdaptKT: A Domain Adaptable Method for Knowledge Tracing.
WSDM
Song Cheng, Qi Liu, Enhong Chen, Kai Zhang, Zhenya Huang, Yu Yin, Xiaoqing Huang, Yu Su
2022 A* conf
Anisotropic Additive Quantization for Fast Inner Product Search.
AAAI
Jin Zhang, Qi Liu, Defu Lian, Zheng Liu, Le Wu, Enhong Chen
2022 A* conf
Assessing Student's Dynamic Knowledge State by Exploring the Question Difficulty Effect.
SIGIR
Shuanghong Shen, Zhenya Huang, Qi Liu, Yu Su, Shijin Wang, Enhong Chen
2022 A conf
CPEE: Civil Case Judgment Prediction centering on the Trial Mode of Essential Elements.
CIKM
Lili Zhao, Linan Yue, Yanqing An, Yuren Zhang, Jun Yu, Qi Liu, Enhong Chen
2022 J jnl
Causal Narrative Comprehension: A New Perspective for Emotion Cause Extraction.
IEEE Trans. Affect. Comput.
Wei Cao, Kun Zhang, Shulan Ruan, Hanqing Tao, Sirui Zhao, Hao Wang, Qi Liu, Enhong Chen
2022 J jnl
Clause-level Relationship-aware Math Word Problems Solver.
Int. J. Autom. Comput.
Chang-Yang Wu, Xin Lin, Zhenya Huang, Yu Yin, Jia-Yu Liu, Qi Liu, Gang Zhou
2022 J jnl
Collaborative List-and-Pairwise Filtering From Implicit Feedback.
IEEE Trans. Knowl. Data Eng.
Runlong Yu, Qi Liu, Yuyang Ye, Mingyue Cheng, Enhong Chen, Jianhui Ma
2022 A* conf
CreaGAN: An Automatic Creative Generation Framework for Display Advertising.
ACM Multimedia
Shiyao Wang, Qi Liu, Yicheng Zhong, Zhilong Zhou, Tiezheng Ge, Defu Lian, Yuning Jiang
2022 A* conf
DARE: Disentanglement-Augmented Rationale Extraction.
NeurIPS
Linan Yue, Qi Liu, Yichao Du, Yanqing An, Li Wang, Enhong Chen
2022 A* conf
Deep Unified Representation for Heterogeneous Recommendation.
WWW
Chengqiang Lu, Mingyang Yin, Shuheng Shen, Luo Ji, Qi Liu, Hongxia Yang
2022 J jnl
Deep Unified Representation for Heterogeneous Recommendation.
CoRR
Chengqiang Lu, Mingyang Yin, Shuheng Shen, Luo Ji, Qi Liu, Hongxia Yang
2022 — conf
Dependency and Association Enhanced Finding Similar Exercises in Online Education System.
CCIS
Zihang Tang, Hao Wang, Weibo Gao, Zhenya Huang, Qi Liu, Jun Yu
2022 — conf
Dynamic Clustering Federated Learning for Non-IID Data.
CICAI (3)
Ming Chen, Jinze Wu, Yu Yin, Zhenya Huang, Qi Liu, Enhong Chen
2022 J jnl
Estimating fund-raising performance for start-up projects from a market graph perspective.
Pattern Recognit.
Likang Wu, Zhi Li, Hongke Zhao, Qi Liu, Enhong Chen
2022 A* conf
FeedRec: News Feed Recommendation with Various User Feedbacks.
WWW
Chuhan Wu, Fangzhao Wu, Tao Qi, Qi Liu, Xuan Tian, Jie Li, Wei He, Yongfeng Huang, Xing Xie
2022 — conf
Following the Lecturer: Hierarchical Knowledge Concepts Prediction for Educational Videos.
CICAI (2)
Xin Zhang, Qi Liu, Wei Huang, Weidong He, Tong Xiao, Ye Huang
2022 A* conf
Fully Adaptive Framework: Neural Computerized Adaptive Testing for Online Education.
AAAI
Yan Zhuang, Qi Liu, Zhenya Huang, Zhi Li, Shuanghong Shen, Haiping Ma
2022 A* conf
Graph Adaptive Semantic Transfer for Cross-domain Sentiment Classification.
SIGIR
Kai Zhang, Qi Liu, Zhenya Huang, Mingyue Cheng, Kun Zhang, Mengdi Zhang, Wei Wu, Enhong Chen
2022 J jnl
Graph Adaptive Semantic Transfer for Cross-domain Sentiment Classification.
CoRR
Kai Zhang, Qi Liu, Zhenya Huang, Mingyue Cheng, Kun Zhang, Mengdi Zhang, Wei Wu, Enhong Chen
2022 A* conf
HierCDF: A Bayesian Network-based Hierarchical Cognitive Diagnosis Framework.
KDD
Jiatong Li, Fei Wang, Qi Liu, Mengxiao Zhu, Wei Huang, Zhenya Huang, Enhong Chen, Yu Su, Shijin Wang
2022 A* conf
Hierarchical Graph Transformer with Adaptive Node Sampling.
NeurIPS
Zaixi Zhang, Qi Liu, Qingyong Hu, Chee-Kong Lee
2022 J jnl
Hierarchical Graph Transformer with Adaptive Node Sampling.
CoRR
Zaixi Zhang, Qi Liu, Qingyong Hu, Chee-Kong Lee
2022 J jnl
HyperSoRec: Exploiting Hyperbolic User and Item Representations with Multiple Aspects for Social-aware Recommendation.
ACM Trans. Inf. Syst.
Hao Wang, Defu Lian, Hanghang Tong, Qi Liu, Zhenya Huang, Enhong Chen
2022 — conf
Incorporating Dynamic Semantics into Pre-Trained Language Model for Aspect-based Sentiment Analysis.
ACL (Findings)
Kai Zhang, Kun Zhang, Mengdi Zhang, Hongke Zhao, Qi Liu, Wei Wu, Enhong Chen
2022 J jnl
Incorporating Dynamic Semantics into Pre-Trained Language Model for Aspect-based Sentiment Analysis.
CoRR
Kai Zhang, Kun Zhang, Mengdi Zhang, Hongke Zhao, Qi Liu, Wei Wu, Enhong Chen
2022 A* conf
Incremental Cognitive Diagnosis for Intelligent Education.
KDD
Shiwei Tong, Jiayu Liu, Yuting Hong, Zhenya Huang, Le Wu, Qi Liu, Wei Huang, Enhong Chen, Dan Zhang
2022 A* conf
Introducing Problem Schema with Hierarchical Exercise Graph for Knowledge Tracing.
SIGIR
Hanshuang Tong, Zhen Wang, Yun Zhou, Shiwei Tong, Wenyuan Han, Qi Liu
2022 J jnl
Model Inversion Attacks against Graph Neural Networks.
CoRR
Zaixi Zhang, Qi Liu, Zhenya Huang, Hao Wang, Chee-Kong Lee, Enhong Chen
2022 — conf
Multi-Sentence Matching via Exploiting List-level Semantics Expansion.
ICKG
Ruijun Sun, Zhi Li, Qi Liu, Zhefeng Wang, Xinyu Duan, Baoxing Huai, Nicholas Jing Yuan
2022 J jnl
NCRNet: Neighborhood Context Refinement Network for skin lesion segmentation.
Comput. Biol. Medicine
Qi Liu, Jingkun Wang, Mengying Zuo, Weiwei Cao, Jian Zheng, Hui Zhao, Jing Xie
2022 — conf
Nested Named Entity Recognition from Medical Texts: An Adaptive Shared Network Architecture with Attentive CRF.
CICAI (3)
Junzhe Jiang, Mingyue Cheng, Qi Liu, Zhi Li, Enhong Chen
2022 J jnl
Nested Named Entity Recognition from Medical Texts: An Adaptive Shared Network Architecture with Attentive CRF.
CoRR
Junzhe Jiang, Mingyue Cheng, Qi Liu, Zhi Li, Enhong Chen
2022 A* conf
One Person, One Model - Learning Compound Router for Sequential Recommendation.
ICDM
Zhiding Liu, Mingyue Cheng, Zhi Li, Qi Liu, Enhong Chen
2022 J jnl
One Person, One Model-Learning Compound Router for Sequential Recommendation.
CoRR
Zhiding Liu, Mingyue Cheng, Zhi Li, Qi Liu, Enhong Chen
2022 J jnl
Personalized Recommendation in P2P Lending Based on Risk-Return Management: A Multi-Objective Perspective.
IEEE Trans. Big Data
Lei Zhang, Xinpeng Wu, Hongke Zhao, Fan Cheng, Qi Liu
2022 A* conf
ProtGNN: Towards Self-Explaining Graph Neural Networks.
AAAI
Zaixi Zhang, Qi Liu, Hao Wang, Chengqiang Lu, Cheekong Lee
2022 — conf
Teaching Text Classification Models Some Common Sense via Q &A Statistics: A Light and Transplantable Approach.
NLPCC (1)
Hanqing Tao, Guanqi Zhu, Tong Xu, Qi Liu, Enhong Chen
2022 B conf
Text Classification via Learning Semantic Dependency and Association.
IJCNN
Guanqi Zhu, Hanqing Tao, Han Wu, Liyi Chen, Ye Liu, Qi Liu, Enhong Chen
2022 A* conf
Tiny-NewsRec: Effective and Efficient PLM-based News Recommendation.
EMNLP
Yang Yu, Fangzhao Wu, Chuhan Wu, Jingwei Yi, Qi Liu
2022 — conf
Tipster: A Topic-Guided Language Model for Topic-Aware Text Segmentation.
DASFAA (3)
Zheng Gong, Shiwei Tong, Han Wu, Qi Liu, Hanqing Tao, Wei Huang, Runlong Yu
2022 J jnl
Toward intelligent financial advisors for identifying potential clients: A multitask perspective.
Big Data Min. Anal.
Qixiang Shao, Runlong Yu, Hongke Zhao, Chunli Liu, Mengyi Zhang, Hongmei Song, Qi Liu
2022 A* conf
Towards Automatic Discovering of Deep Hybrid Network Architecture for Sequential Recommendation.
WWW
Mingyue Cheng, Zhiding Liu, Qi Liu, Shenyang Ge, Enhong Chen
2022 J jnl
Towards Exploring Large Molecular Space: An Efficient Chemical Genetic Algorithm.
J. Comput. Sci. Technol.
Jian-Fu Zhu, Zhongkai Hao, Qi Liu, Yu Yin, Chengqiang Lu, Zhenya Huang, En-Hong Chen
2022 J jnl
Understanding the Users and Videos by Mining a Novel Danmu Dataset.
IEEE Trans. Big Data
Guangyi Lv, Kun Zhang, Le Wu, Enhong Chen, Tong Xu, Qi Liu, Weidong He
2022 J jnl
Untargeted Attack against Federated Recommendation Systems via Poisonous Item Embeddings and the Defense.
CoRR
Yang Yu, Qi Liu, Likang Wu, Runlong Yu, Sanshi Lei Yu, Zaixi Zhang
2021 A* conf
A Hybrid Bandit Model with Visual Priors for Creative Ranking in Display Advertising.
WWW
Shiyao Wang, Qi Liu, Tiezheng Ge, Defu Lian, Zhiqiang Zhang
2021 J jnl
A Hybrid Bandit Model with Visual Priors for Creative Ranking in Display Advertising.
CoRR
Shiyao Wang, Qi Liu, Tiezheng Ge, Defu Lian, Zhiqiang Zhang
2021 J jnl
A Survey of Knowledge Tracing.
CoRR
Qi Liu, Shuanghong Shen, Zhenya Huang, Enhong Chen, Yonghe Zheng
2021 A* conf
Circumstances enhanced Criminal Court View Generation.
SIGIR
Linan Yue, Qi Liu, Han Wu, Yanqing An, Li Wang, Senchao Yuan, Dayong Wu
2021 — conf
Consistency-aware Multi-modal Network for Hierarchical Multi-label Classification in Online Education System.
ICBK
Siqi Lei, Wei Huang, Shiwei Tong, Qi Liu, Zhenya Huang, Enhong Chen, Yu Su
2021 A* conf
Coupling Macro-Sector-Micro Financial Indicators for Learning Stock Representations with Less Uncertainty.
AAAI
Guifeng Wang, Longbing Cao, Hongke Zhao, Qi Liu, Enhong Chen
2021 A* conf
Cross-Oilfield Reservoir Classification via Multi-Scale Sensor Knowledge Transfer.
AAAI
Zhi Li, Zhefeng Wang, Zhicheng Wei, Xiangguang Zhou, Yijun Wang, Baoxing Huai, Qi Liu, Nicholas Jing Yuan, Renbin Gong, Enhong Chen
2021 A* conf
DAE-GAN: Dynamic Aspect-aware GAN for Text-to-Image Synthesis.
ICCV
Shulan Ruan, Yong Zhang, Kun Zhang, Yanbo Fan, Fan Tang, Qi Liu, Enhong Chen
2021 J jnl
DAE-GAN: Dynamic Aspect-aware GAN for Text-to-Image Synthesis.
CoRR
Shulan Ruan, Yong Zhang, Kun Zhang, Yanbo Fan, Fan Tang, Qi Liu, Enhong Chen
2021 A* conf
DisenQNet: Disentangled Representation Learning for Educational Questions.
KDD
Zhenya Huang, Xin Lin, Hao Wang, Qi Liu, Enhong Chen, Jianhui Ma, Yu Su, Wei Tong
2021 J jnl
EKT: Exercise-Aware Knowledge Tracing for Student Performance Prediction.
IEEE Trans. Knowl. Data Eng.
Qi Liu, Zhenya Huang, Yu Yin, Enhong Chen, Hui Xiong, Yu Su, Guoping Hu
2021 A* conf
Enhanced Representation Learning for Examination Papers with Hierarchical Document Structure.
SIGIR
Yixiao Ma, Shiwei Tong, Ye Liu, Likang Wu, Qi Liu, Enhong Chen, Wei Tong, Zi Yan
2021 J jnl
Estimating Fund-Raising Performance for Start-up Projects from a Market Graph Perspective.
CoRR
Likang Wu, Zhi Li, Hongke Zhao, Qi Liu, Enhong Chen
2021 J jnl
Exploiting Real-time Search Engine Queries for Earthquake Detection: A Summary of Results.
ACM Trans. Inf. Syst.
Qi Zhang, Hengshu Zhu, Qi Liu, Enhong Chen, Hui Xiong
2021 — conf
Exploiting Visual Context and Multi-grained Semantics for Social Text Emotion Recognition.
CICAI
Wei Cao, Kun Zhang, Hanqing Tao, Weidong He, Qi Liu, Enhong Chen, Jianhui Ma
2021 A conf
Federated Deep Knowledge Tracing.
WSDM
Jinze Wu, Zhenya Huang, Qi Liu, Defu Lian, Hao Wang, Enhong Chen, Haiping Ma, Shijin Wang
2021 A* conf
GraphMI: Extracting Private Graph Data from Graph Neural Networks.
IJCAI
Zaixi Zhang, Qi Liu, Zhenya Huang, Hao Wang, Chengqiang Lu, Chuanren Liu, Enhong Chen
2021 J jnl
GraphMI: Extracting Private Graph Data from Graph Neural Networks.
CoRR
Zaixi Zhang, Qi Liu, Zhenya Huang, Hao Wang, Chengqiang Lu, Chuanren Liu, Enhong Chen
2021 A* conf
Group-Level Cognitive Diagnosis: A Multi-Task Learning Perspective.
ICDM
Jie Huang, Qi Liu, Fei Wang, Zhenya Huang, Songtao Fang, Runze Wu, Enhong Chen, Yu Su, Shijin Wang
2021 A* conf
Guided Attention Network for Concept Extraction.
IJCAI
Songtao Fang, Zhenya Huang, Ming He, Shiwei Tong, Xiaoqing Huang, Ye Liu, Jie Huang, Qi Liu
2021 A* conf
HMS: A Hierarchical Solver with Dependency-Enhanced Understanding for Math Word Problem.
AAAI
Xin Lin, Zhenya Huang, Hongke Zhao, Enhong Chen, Qi Liu, Hao Wang, Shijin Wang
2021 A* conf
Hierarchical Personalized Federated Learning for User Modeling.
WWW
Jinze Wu, Qi Liu, Zhenya Huang, Yuting Ning, Hao Wang, Enhong Chen, Jinfeng Yi, Bowen Zhou
2021 A* conf
Ideography Leads Us to the Field of Cognition: A Radical-Guided Associative Model for Chinese Text Classification.
AAAI
Hanqing Tao, Shiwei Tong, Kun Zhang, Tong Xu, Qi Liu, Enhong Chen, Min Hou
2021 A* conf
Item Response Ranking for Cognitive Diagnosis.
IJCAI
Shiwei Tong, Qi Liu, Runlong Yu, Wei Huang, Zhenya Huang, Zachary A. Pardos, Weijie Jiang
2021 J jnl
LadRa-Net: Locally-Aware Dynamic Re-read Attention Net for Sentence Semantic Matching.
CoRR
Kun Zhang, Guangyi Lv, Le Wu, Enhong Chen, Qi Liu, Meng Wang
2021 A* conf
LawyerPAN: A Proficiency Assessment Network for Trial Lawyers.
KDD
Yanqing An, Qi Liu, Han Wu, Kai Zhang, Linan Yue, Mingyue Cheng, Hongke Zhao, Enhong Chen
2021 A* conf
Learning Process-consistent Knowledge Tracing.
KDD
Shuanghong Shen, Qi Liu, Enhong Chen, Zhenya Huang, Wei Huang, Yu Yin, Yu Su, Shijin Wang
2021 A* conf
Learning Recommender Systems with Implicit Feedback via Soft Target Enhancement.
SIGIR
Mingyue Cheng, Fajie Yuan, Qi Liu, Shenyang Ge, Zhi Li, Runlong Yu, Defu Lian, Senchao Yuan, Enhong Chen
2021 A* conf
Learning Transferable User Representations with Sequential Behaviors via Contrastive Pre-training.
ICDM
Mingyue Cheng, Fajie Yuan, Qi Liu, Xin Xin, Enhong Chen
2021 — conf
Learning the Implicit Semantic Representation on Graph-Structured Data.
DASFAA (1)
Likang Wu, Zhi Li, Hongke Zhao, Qi Liu, Jun Wang, Mengdi Zhang, Enhong Chen
2021 J jnl
Learning the Implicit Semantic Representation on Graph-Structured Data.
CoRR
Likang Wu, Zhi Li, Hongke Zhao, Qi Liu, Jun Wang, Mengdi Zhang, Enhong Chen
2021 — conf
Legal Judgment Prediction with Multiple Perspectives on Civil Cases.
CICAI
Lili Zhao, Linan Yue, Yanqing An, Ye Liu, Kai Zhang, Weidong He, Yanmin Chen, Senchao Yuan, Qi Liu
2021 A* conf
Leveraging Tripartite Interaction Information from Live Stream E-Commerce for Improving Product Recommendation.
KDD
Sanshi Yu, Zhuoxuan Jiang, Dongdong Chen, Shanshan Feng, Dongsheng Li, Qi Liu, Jinfeng Yi
2021 J jnl
Leveraging Tripartite Interaction Information from Live Stream E-Commerce for Improving Product Recommendation.
CoRR
Sanshi Yu, Zhuoxuan Jiang, Dongdong Chen, Shanshan Feng, Dongsheng Li, Qi Liu, Jinfeng Yi
2021 A* conf
Modeling Context-aware Features for Cognitive Diagnosis in Student Learning.
KDD
Yuqiang Zhou, Qi Liu, Jinze Wu, Fei Wang, Zhenya Huang, Wei Tong, Hui Xiong, Enhong Chen, Jianhui Ma
2021 A* conf
Motif-based Graph Self-Supervised Learning for Molecular Property Prediction.
NeurIPS
Zaixi Zhang, Qi Liu, Hao Wang, Chengqiang Lu, Chee-Kong Lee
2021 J jnl
Motif-based Graph Self-Supervised Learning for Molecular Property Prediction.
CoRR
Zaixi Zhang, Qi Liu, Hao Wang, Chengqiang Lu, Cheekong Lee
2021 A conf
Multi-Interactive Attention Network for Fine-grained Feature Learning in CTR Prediction.
WSDM
Kai Zhang, Hao Qian, Qing Cui, Qi Liu, Longfei Li, Jun Zhou, Jianhui Ma, Enhong Chen
2021 J jnl
Multilevel Image-Enhanced Sentence Representation Net for Natural Language Inference.
IEEE Trans. Syst. Man Cybern. Syst.
Kun Zhang, Guangyi Lv, Le Wu, Enhong Chen, Qi Liu, Han Wu, Xing Xie, Fangzhao Wu
2021 J jnl
Multiple graph kernel learning based on GMDH-type neural network.
Inf. Fusion
Lixiang Xu, Lu Bai, Jin Xiao, Qi Liu, Enhong Chen, Xiaofeng Wang, Yuanyan Tang
2021 A* conf
NeurJudge: A Circumstance-aware Neural Framework for Legal Judgment Prediction.
SIGIR
Linan Yue, Qi Liu, Binbin Jin, Han Wu, Kai Zhang, Yanqing An, Mingyue Cheng, Biao Yin, Dayong Wu
2021 A* conf
NeuralAC: Learning Cooperation and Competition Effects for Match Outcome Prediction.
AAAI
Yin Gu, Qi Liu, Kai Zhang, Zhenya Huang, Runze Wu, Jianrong Tao
2021 — conf
NewsBERT: Distilling Pre-trained Language Model for Intelligent News Application.
EMNLP (Findings)
Chuhan Wu, Fangzhao Wu, Yang Yu, Tao Qi, Yongfeng Huang, Qi Liu
2021 J jnl
NewsBERT: Distilling Pre-trained Language Model for Intelligent News Application.
CoRR
Chuhan Wu, Fangzhao Wu, Yang Yu, Tao Qi, Yongfeng Huang, Qi Liu
2021 A* conf
Online Additive Quantization.
KDD
Qi Liu, Jin Zhang, Defu Lian, Yong Ge, Jianhui Ma, Enhong Chen
2021 A* conf
Preference-Adaptive Meta-Learning for Cold-Start Recommendation.
IJCAI
Li Wang, Binbin Jin, Zhenya Huang, Hongke Zhao, Defu Lian, Qi Liu, Enhong Chen
2021 J jnl
Promotion of Answer Value Measurement With Domain Effects in Community Question Answering Systems.
IEEE Trans. Syst. Man Cybern. Syst.
Binbin Jin, Enhong Chen, Hongke Zhao, Zhenya Huang, Qi Liu, Hengshu Zhu, Shui Yu
2021 J jnl
ProtGNN: Towards Self-Explaining Graph Neural Networks.
CoRR
Zaixi Zhang, Qi Liu, Hao Wang, Chengqiang Lu, Cheekong Lee
2021 J jnl
Quality meets Diversity: A Model-Agnostic Framework for Computerized Adaptive Testing.
CoRR
Haoyang Bi, Haiping Ma, Zhenya Huang, Yu Yin, Qi Liu, Enhong Chen, Yu Su, Shijin Wang
2021 A* conf
RCD: Relation Map Driven Cognitive Diagnosis for Intelligent Education Systems.
SIGIR
Weibo Gao, Qi Liu, Zhenya Huang, Yu Yin, Haoyang Bi, Mu-Chun Wang, Jianhui Ma, Shijin Wang, Yu Su
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
STAN: Adversarial Network for Cross-domain Question Difficulty Prediction.
ICDM
Ye Huang, Wei Huang, Shiwei Tong, Zhenya Huang, Qi Liu, Enhong Chen, Jianhui Ma, Liang Wan, Shijin Wang
2021 — conf
Stable and Diverse: A Unified Approach for Computerized Adaptive Testing.
CCIS
Yuting Ning, Ye Liu, Zhenya Huang, Haoyang Bi, Qi Liu, Enhong Chen, Dan Zhang
2021 A* conf
Technological Knowledge Flow Forecasting through A Hierarchical Interactive Graph Neural Network.
ICDM
Huijie Liu, Han Wu, Le Zhang, Runlong Yu, Ye Liu, Chunli Liu, Qi Liu, Enhong Chen
2021 J jnl
Time-and-Concept Enhanced Deep Multidimensional Item Response Theory for interpretable Knowledge Tracing.
Knowl. Based Syst.
Yu Su, Zeyu Cheng, Pengfei Luo, Jinze Wu, Lei Zhang, Qi Liu, Shijin Wang
2021 J jnl
Tiny-NewsRec: Efficient and Effective PLM-based News Recommendation.
CoRR
Yang Yu, Fangzhao Wu, Chuhan Wu, Jingwei Yi, Tao Qi, Qi Liu
2021 A* conf
Towards a New Generation of Cognitive Diagnosis.
IJCAI
Qi Liu
2021 — conf
Unpaired Multimodal Neural Machine Translation via Reinforcement Learning.
DASFAA (2)
Yijun Wang, Tianxin Wei, Qi Liu, Enhong Chen
2021 — conf
XCrossNet: Feature Structure-Oriented Learning for Click-Through Rate Prediction.
PAKDD (2)
Runlong Yu, Yuyang Ye, Qi Liu, Zihan Wang, Chunfeng Yang, Yucheng Hu, Enhong Chen
2021 J jnl
XCrossNet: Feature Structure-Oriented Learning for Click-Through Rate Prediction.
CoRR
Runlong Yu, Yuyang Ye, Qi Liu, Zihan Wang, Chunfeng Yang, Yucheng Hu, Enhong Chen
2020 J jnl
A Dynamic and Cooperative Tracking System for Crowdfunding.
CoRR
Kai Zhang, Hongke Zhao, Qi Liu, Zhen Pan, Enhong Chen
2020 J jnl
A hybrid neural network for predicting Days on Market a measure of liquidity in real estate industry.
Knowl. Based Syst.
Amadu Fullah Kamara, Enhong Chen, Qi Liu, Zhen Pan
2020 A* conf
ASGN: An Active Semi-supervised Graph Neural Network for Molecular Property Prediction.
KDD
Zhongkai Hao, Chengqiang Lu, Zhenya Huang, Hao Wang, Zheyuan Hu, Qi Liu, Enhong Chen, Cheekong Lee
2020 J jnl
ASGN: An Active Semi-supervised Graph Neural Network for Molecular Property Prediction.
CoRR
Zhongkai Hao, Chengqiang Lu, Zheyuan Hu, Hao Wang, Zhenya Huang, Qi Liu, Enhong Chen, Cheekong Lee
2020 A* conf
Adaptive Quantitative Trading: An Imitative Deep Reinforcement Learning Approach.
AAAI
Yang Liu, Qi Liu, Hongke Zhao, Zhen Pan, Chuanren Liu
2020 J jnl
Combining contextual neural networks for time series classification.
Neurocomputing
Amadu Fullah Kamara, Enhong Chen, Qi Liu, Zhen Pan
2020 A* conf
Convolutional Knowledge Tracing: Modeling Individualization in Student Learning Process.
SIGIR
Shuanghong Shen, Qi Liu, Enhong Chen, Han Wu, Zhenya Huang, Weihao Zhao, Yu Su, Haiping Ma, Shijin Wang
2020 A* conf
Crowdfunding Dynamics Tracking: A Reinforcement Learning Approach.
AAAI
Jun Wang, Hefu Zhang, Qi Liu, Zhen Pan, Hanqing Tao
2020 A conf
Deep Behavior Tracing with Multi-level Temporality Preserved Embedding.
CIKM
Runze Wu, Hao Deng, Jianrong Tao, Changjie Fan, Qi Liu, Liang Chen
2020 J jnl
Deep Technology Tracing for High-tech Companies.
CoRR
Han Wu, Kun Zhang, Guangyi Lv, Qi Liu, Runlong Yu, Weihao Zhao, Enhong Chen, Jianhui Ma
2020 J jnl
Domain Adaption for Knowledge Tracing.
CoRR
Song Cheng, Qi Liu, Enhong Chen
2020 J jnl
Dual-collaborative DoS/DDoS mitigation approach in information-centric mobile Internet.
Int. J. Commun. Syst.
Jia Chen, Haiyu Jia, Qi Liu
2020 A* conf
Estimating Early Fundraising Performance of Innovations via Graph-Based Market Environment Model.
AAAI
Likang Wu, Zhi Li, Hongke Zhao, Zhen Pan, Qi Liu, Enhong Chen
2020 A* conf
Exploiting Knowledge Hierarchy for Finding Similar Exercises in Online Education Systems.
ICDM
Wei Tong, Shiwei Tong, Wei Huang, Liyang He, Jianhui Ma, Qi Liu, Enhong Chen
2020 A* conf
Fine-Grained Similarity Measurement between Educational Videos and Exercises.
ACM Multimedia
Xin Wang, Wei Huang, Qi Liu, Yu Yin, Zhenya Huang, Le Wu, Jianhui Ma, Xue Wang
2020 J jnl
Learning or Forgetting? A Dynamic Approach for Tracking the Knowledge Proficiency of Students.
ACM Trans. Inf. Syst.
Zhenya Huang, Qi Liu, Yuying Chen, Le Wu, Keli Xiao, Enhong Chen, Haiping Ma, Guoping Hu
2020 A* conf
Learning the Compositional Visual Coherence for Complementary Recommendations.
IJCAI
Zhi Li, Bo Wu, Qi Liu, Likang Wu, Hongke Zhao, Tao Mei
2020 J jnl
Learning the Compositional Visual Coherence for Complementary Recommendations.
CoRR
Zhi Li, Bo Wu, Qi Liu, Likang Wu, Hongke Zhao, Tao Mei
2020 J jnl
Maximum a Posteriori Estimation for Information Source Detection.
IEEE Trans. Syst. Man Cybern. Syst.
Biao Chang, Enhong Chen, Feida Zhu, Qi Liu, Tong Xu, Zhefeng Wang
2020 J jnl
Multi-Interactive Attention Network for Fine-grained Feature Learning in CTR Prediction.
CoRR
Kai Zhang, Hao Qian, Qing Cui, Qi Liu, Longfei Li, Jun Zhou, Jianhui Ma, Enhong Chen
2020 A* conf
Neural Cognitive Diagnosis for Intelligent Education Systems.
AAAI
Fei Wang, Qi Liu, Enhong Chen, Zhenya Huang, Yuying Chen, Yu Yin, Zai Huang, Shijin Wang
2020 A* conf
Neural Mathematical Solver with Enhanced Formula Structure.
SIGIR
Zhenya Huang, Qi Liu, Weibo Gao, Jinze Wu, Yu Yin, Hao Wang, Enhong Chen
2020 A* conf
Personalized Ranking with Importance Sampling.
WWW
Defu Lian, Qi Liu, Enhong Chen
2020 J jnl
Pop Music Generation: From Melody to Multi-style Arrangement.
ACM Trans. Knowl. Discov. Data
Hongyuan Zhu, Qi Liu, Nicholas Jing Yuan, Kun Zhang, Guang Zhou, Enhong Chen
2020 J jnl
Preface.
J. Comput. Sci. Technol.
Min-Ling Zhang, Yufeng Li, Qi Liu
2020 J jnl
Probabilistic SVM classifier ensemble selection based on GMDH-type neural network.
Pattern Recognit.
Lixiang Xu, Xiaofeng Wang, Lu Bai, Jin Xiao, Qi Liu, Enhong Chen, Xiaoyi Jiang, Bin Luo
2020 J jnl
Product Supply Optimization for Crowdfunding Campaigns.
IEEE Trans. Big Data
Guifeng Wang, Qi Liu, Hongke Zhao, Chuanren Liu, Tong Xu, Enhong Chen
2020 A* conf
Quality meets Diversity: A Model-Agnostic Framework for Computerized Adaptive Testing.
ICDM
Haoyang Bi, Haiping Ma, Zhenya Huang, Yu Yin, Qi Liu, Enhong Chen, Yu Su, Shijin Wang
2020 A* conf
STGCN: A Spatial-Temporal Aware Graph Learning Method for POI Recommendation.
ICDM
Haoyu Han, Mengdi Zhang, Min Hou, Fuzheng Zhang, Zhongyuan Wang, Enhong Chen, Hongwei Wang, Jianhui Ma, Qi Liu
2020 A* conf
Sampling-Decomposable Generative Adversarial Recommender.
NeurIPS
Binbin Jin, Defu Lian, Zheng Liu, Qi Liu, Jianhui Ma, Xing Xie, Enhong Chen
2020 J jnl
Sampling-Decomposable Generative Adversarial Recommender.
CoRR
Binbin Jin, Defu Lian, Zheng Liu, Qi Liu, Jianhui Ma, Xing Xie, Enhong Chen
2020 A* conf
Structure-based Knowledge Tracing: An Influence Propagation View.
ICDM
Shiwei Tong, Qi Liu, Wei Huang, Zhenya Huang, Enhong Chen, Chuanren Liu, Haiping Ma, Shijin Wang
2020 A* conf
Technical Phrase Extraction for Patent Mining: A Multi-level Approach.
ICDM
Ye Liu, Han Wu, Zhenya Huang, Hao Wang, Jianhui Ma, Qi Liu, Enhong Chen, Hanqing Tao, Ke Rui
2020 J jnl
Voice of Charity: Prospecting the Donation Recurrence & Donor Retention in Crowdfunding.
IEEE Trans. Knowl. Data Eng.
Hongke Zhao, Binbin Jin, Qi Liu, Yong Ge, Enhong Chen, Xi Zhang, Tong Xu
2019 A* conf
A Radical-Aware Attention-Based Model for Chinese Text Classification.
AAAI
Hanqing Tao, Shiwei Tong, Hongke Zhao, Tong Xu, Binbin Jin, Qi Liu
2019 A* conf
Aftershock Detection with Multi-scale Description Based Neural Network.
ICDM
Qi Zhang, Tong Xu, Hengshu Zhu, Lifu Zhang, Hui Xiong, Enhong Chen, Qi Liu
2019 A* conf
Alpha-Beta Sampling for Pairwise Ranking in One-Class Collaborative Filtering.
ICDM
Mingyue Cheng, Runlong Yu, Qi Liu, Vincent W. Zheng, Hongke Zhao, Hefu Zhang, Enhong Chen
2019 J jnl
Chinese Embedding via Stroke and Glyph Information: A Dual-channel View.
CoRR
Hanqing Tao, Shiwei Tong, Tong Xu, Qi Liu, Enhong Chen
2019 A* conf
Constructing Educational Concept Maps with Multiple Relationships from Multi-Source Data.
ICDM
Xiaoqing Huang, Qi Liu, Chao Wang, Haoyu Han, Jianhui Ma, Enhong Chen, Yu Su, Shijin Wang
2019 — conf
Context-Aware Dual-Attention Network for Natural Language Inference.
PAKDD (3)
Kun Zhang, Guangyi Lv, Enhong Chen, Le Wu, Qi Liu, C. L. Philip Chen
2019 J jnl
Crowdfunding Dynamics Tracking: A Reinforcement Learning Approach.
CoRR
Jun Wang, Hefu Zhang, Qi Liu, Zhen Pan, Hanqing Tao
2019 A conf
DIRT: Deep Learning Enhanced Item Response Theory for Cognitive Diagnosis.
CIKM
Song Cheng, Qi Liu, Enhong Chen, Zai Huang, Zhenya Huang, Yiying Chen, Haiping Ma, Guoping Hu
2019 A* conf
Deep Technology Tracing for High-Tech Companies.
ICDM
Han Wu, Kun Zhang, Guangyi Lv, Qi Liu, Runlong Yu, Weihao Zhao, Enhong Chen, Jianhui Ma
2019 J jnl
EKT: Exercise-aware Knowledge Tracing for Student Performance Prediction.
CoRR
Qi Liu, Zhenya Huang, Yu Yin, Enhong Chen, Hui Xiong, Yu Su, Guoping Hu
2019 J jnl
Estimating Early Fundraising Performance of Innovations via Graph-based Market Environment Model.
CoRR
Likang Wu, Zhi Li, Hongke Zhao, Zhen Pan, Qi Liu, Enhong Chen
2019 A* conf
Estimating the Days to Success of Campaigns in Crowdfunding: A Deep Survival Perspective.
AAAI
Binbin Jin, Hongke Zhao, Enhong Chen, Qi Liu, Yong Ge
2019 A* conf
Explainable Fashion Recommendation: A Semantic Attribute Region Guided Approach.
IJCAI
Min Hou, Le Wu, Enhong Chen, Zhi Li, Vincent W. Zheng, Qi Liu
2019 J jnl
Explainable Fashion Recommendation: A Semantic Attribute Region Guided Approach.
CoRR
Min Hou, Le Wu, Enhong Chen, Zhi Li, Vincent W. Zheng, Qi Liu
2019 A* conf
Exploiting Cognitive Structure for Adaptive Learning.
KDD
Qi Liu, Shiwei Tong, Chuanren Liu, Hongke Zhao, Enhong Chen, Haiping Ma, Shijin Wang
2019 J jnl
Exploiting Cognitive Structure for Adaptive Learning.
CoRR
Qi Liu, Shiwei Tong, Chuanren Liu, Hongke Zhao, Enhong Chen, Haiping Ma, Shijin Wang
2019 A conf
Exploring Multi-Objective Exercise Recommendations in Online Education Systems.
CIKM
Zhenya Huang, Qi Liu, ChengXiang Zhai, Yu Yin, Enhong Chen, Weibo Gao, Guoping Hu
2019 — conf
Gossiping the Videos: An Embedding-Based Generative Adversarial Framework for Time-Sync Comments Generation.
PAKDD (3)
Guangyi Lv, Tong Xu, Qi Liu, Enhong Chen, Weidong He, Mingxiao An, Zhongming Chen
2019 A conf
Hierarchical Multi-label Text Classification: An Attention-based Recurrent Network Approach.
CIKM
Wei Huang, Enhong Chen, Qi Liu, Yuying Chen, Zai Huang, Yang Liu, Zhou Zhao, Dan Zhang, Shijin Wang
2019 A* conf
Interactive Attention Transfer Network for Cross-Domain Sentiment Classification.
AAAI
Kai Zhang, Hefu Zhang, Qi Liu, Hongke Zhao, Hengshu Zhu, Enhong Chen
2019 J jnl
Interpretable Cognitive Diagnosis with Neural Network for Intelligent Educational Systems.
CoRR
Fei Wang, Qi Liu, Enhong Chen, Zhenya Huang
2019 J jnl
Long-term Joint Scheduling for Urban Traffic.
CoRR
Xianfeng Liang, Likang Wu, Joya Chen, Yang Liu, Runlong Yu, Min Hou, Han Wu, Yuyang Ye, Qi Liu, Enhong Chen
2019 A* conf
MCNE: An End-to-End Framework for Learning Multiple Conditional Network Representations of Social Network.
KDD
Hao Wang, Tong Xu, Qi Liu, Defu Lian, Enhong Chen, Dongfang Du, Han Wu, Wen Su
2019 J jnl
MCNE: An End-to-End Framework for Learning Multiple Conditional Network Representations of Social Network.
CoRR
Hao Wang, Tong Xu, Qi Liu, Defu Lian, Enhong Chen, Dongfang Du, Han Wu, Wen Su
2019 A* conf
Molecular Property Prediction: A Multilevel Quantum Interactions Modeling Perspective.
AAAI
Chengqiang Lu, Qi Liu, Chao Wang, Zhenya Huang, Peize Lin, Lixin He
2019 J jnl
Molecular Property Prediction: A Multilevel Quantum Interactions Modeling Perspective.
CoRR
Chengqiang Lu, Qi Liu, Chao Wang, Zhenya Huang, Peize Lin, Lixin He
2019 J jnl
Promotion of Answer Value Measurement with Domain Effects in Community Question Answering Systems.
CoRR
Binbin Jin, Enhong Chen, Hongke Zhao, Zhenya Huang, Qi Liu, Hengshu Zhu, Shui Yu
2019 A* conf
QuesNet: A Unified Representation for Heterogeneous Test Questions.
KDD
Yu Yin, Qi Liu, Zhenya Huang, Enhong Chen, Wei Tong, Shijin Wang, Yu Su
2019 J jnl
QuesNet: A Unified Representation for Heterogeneous Test Questions.
CoRR
Yu Yin, Qi Liu, Zhenya Huang, Enhong Chen, Wei Tong, Shijin Wang, Yu Su
2019 J jnl
Transcribing Content from Structural Images with Spotlight Mechanism.
CoRR
Yu Yin, Zhenya Huang, Enhong Chen, Qi Liu, Fuzheng Zhang, Xing Xie, Guoping Hu
2019 J jnl
Understanding the mechanism of social tie in the propagation process of social network with communication channel.
Frontiers Comput. Sci.
Kai Li, Guangyi Lv, Zhefeng Wang, Qi Liu, Enhong Chen, Lisheng Qiao
2018 J jnl
A Sequential Approach to Market State Modeling and Analysis in Online P2P Lending.
IEEE Trans. Syst. Man Cybern. Syst.
Hongke Zhao, Qi Liu, Hengshu Zhu, Yong Ge, Enhong Chen, Yan Zhu, Junping Du
2018 A* conf
A United Approach to Learning Sparse Attributed Network Embedding.
ICDM
Hao Wang, Enhong Chen, Qi Liu, Tong Xu, Dongfang Du, Wen Su, Xiaopeng Zhang
2018 A* conf
Confidence-Aware Matrix Factorization for Recommender Systems.
AAAI
Chao Wang, Qi Liu, Runze Wu, Enhong Chen, Chuanren Liu, Xunpeng Huang, Zhenya Huang
2018 J jnl
Covering the Sensitive Subjects to Protect Personal Privacy in Personalized Recommendation.
IEEE Trans. Serv. Comput.
Zongda Wu, Guiling Li, Qi Liu, Guandong Xu, Enhong Chen
2018 A* conf
Exercise-Enhanced Sequential Modeling for Student Performance Prediction.
AAAI
Yu Su, Qingwen Liu, Qi Liu, Zhenya Huang, Yu Yin, Enhong Chen, Chris H. Q. Ding, Si Wei, Guoping Hu
2018 J jnl
Explainable Social Contextual Image Recommendation with Hierarchical Attention.
CoRR
Le Wu, Yong Ge, Qi Liu, Enhong Chen, Richang Hong, Meng Wang, Junping Du
2018 A* conf
Exploiting Topic-Based Adversarial Neural Network for Cross-Domain Keyphrase Extraction.
ICDM
Yanan Wang, Qi Liu, Chuan Qin, Tong Xu, Yijun Wang, Enhong Chen, Hui Xiong
2018 J jnl
Exploring the Emerging Type of Comment for Online Videos:
ACM Trans. Web
Ming He, Yong Ge, Enhong Chen, Qi Liu, Xuesong Wang
2018 A* conf
Finding Similar Exercises in Online Education Systems.
KDD
Qi Liu, Zai Huang, Zhenya Huang, Chuanren Liu, Enhong Chen, Yu Su, Guoping Hu
2018 J jnl
Finding potential lenders in P2P lending: A Hybrid Random Walk Approach.
Inf. Sci.
Hefu Zhang, Hongke Zhao, Qi Liu, Tong Xu, Enhong Chen, Xunpeng Huang
2018 J jnl
Fuzzy Cognitive Diagnosis for Modelling Examinee Performance.
ACM Trans. Intell. Syst. Technol.
Qi Liu, Runze Wu, Enhong Chen, Guandong Xu, Yu Su, Zhigang Chen, Guoping Hu
2018 J jnl
Illuminating Recommendation by Understanding the Explicit Item Relations.
J. Comput. Sci. Technol.
Qi Liu, Hongke Zhao, Le Wu, Zhi Li, En-Hong Chen
2018 A* conf
Image-Enhanced Multi-level Sentence Representation Net for Natural Language Inference.
ICDM
Kun Zhang, Guangyi Lv, Le Wu, Enhong Chen, Qi Liu, Han Wu, Fangzhao Wu
2018 — ch.
Influence Maximization Model.
Encyclopedia of Social Network Analysis and Mining. 2nd Ed.
Qi Liu, Zhefeng Wang, Enhong Chen
2018 J jnl
Jointly Recommending Library Books and Predicting Academic Performance: A Mutual Reinforcement Perspective.
J. Comput. Sci. Technol.
Defu Lian, Qi Liu
2018 A* conf
Learning from History and Present: Next-item Recommendation via Discriminatively Exploiting User Behaviors.
KDD
Zhi Li, Hongke Zhao, Qi Liu, Zhenya Huang, Tao Mei, Enhong Chen
2018 J jnl
Learning from History and Present: Next-item Recommendation via Discriminatively Exploiting User Behaviors.
CoRR
Zhi Li, Hongke Zhao, Qi Liu, Zhenya Huang, Tao Mei, Enhong Chen
2018 — conf
MT-MCD: A Multi-task Cognitive Diagnosis Framework for Student Assessment.
DASFAA (2)
Tianyu Zhu, Qi Liu, Zhenya Huang, Enhong Chen, Defu Lian, Yu Su, Guoping Hu
2018 A conf
Maximizing the Effect of Information Adoption: A General Framework.
SDM
Tianyuan Jin, Tong Xu, Hui Zhong, Enhong Chen, Zhefeng Wang, Qi Liu
2018 A conf
Multiple Pairwise Ranking with Implicit Feedback.
CIKM
Runlong Yu, Yunzhou Zhang, Yuyang Ye, Le Wu, Chao Wang, Qi Liu, Enhong Chen
2018 A* conf
Patent Litigation Prediction: A Convolutional Tensor Factorization Approach.
IJCAI
Qi Liu, Han Wu, Yuyang Ye, Hongke Zhao, Chuanren Liu, Dongfang Du
2018 J jnl
Price Shock Detection With an Influence-Based Model of Social Attention.
ACM Trans. Manag. Inf. Syst.
Keli Xiao, Qi Liu, Chuanren Liu, Hui Xiong
2018 J jnl
Product Adoption Rate Prediction in a Competitive Market.
IEEE Trans. Knowl. Data Eng.
Le Wu, Qi Liu, Richang Hong, Enhong Chen, Yong Ge, Xing Xie, Meng Wang
2018 A conf
SHINE: Signed Heterogeneous Information Network Embedding for Sentiment Link Prediction.
WSDM
Hongwei Wang, Fuzheng Zhang, Min Hou, Xing Xie, Minyi Guo, Qi Liu
2018 J jnl
Skeptical Deep Learning with Distribution Correction.
CoRR
Mingxiao An, Yongzhou Chen, Qi Liu, Chuanren Liu, Guangyi Lv, Fangzhao Wu, Jianhui Ma
2018 J jnl
Study on Information Diffusion Analysis in Social Networks and Its Applications.
Int. J. Autom. Comput.
Biao Chang, Tong Xu, Qi Liu, En-Hong Chen
2018 A* conf
Transcribing Content from Structural Images with Spotlight Mechanism.
KDD
Yu Yin, Zhenya Huang, Enhong Chen, Qi Liu, Fuzheng Zhang, Xing Xie, Guoping Hu
2018 — conf
Understand and Assess People's Procrastination by Mining Computer Usage Log.
KSEM (1)
Ming He, Yan Chen, Qi Liu, Yong Ge, Enhong Chen, Guiquan Liu, Lichao Liu, Xin Li
2018 A* conf
XiaoIce Band: A Melody and Arrangement Generation Framework for Pop Music.
KDD
Hongyuan Zhu, Qi Liu, Nicholas Jing Yuan, Chuan Qin, Jiawei Li, Kun Zhang, Guang Zhou, Furu Wei, Yuanchun Xu, Enhong Chen
2017 A* conf
A Context-Enriched Neural Network Method for Recognizing Lexical Entailment.
AAAI
Kun Zhang, Enhong Chen, Qi Liu, Chuanren Liu, Guangyi Lv
2017 A conf
An Ad CTR Prediction Method Based on Feature Learning of Deep and Shallow Layers.
CIKM
Zai Huang, Zhen Pan, Qi Liu, Bai Long, Haiping Ma, Enhong Chen
2017 J jnl
An Influence Propagation View of PageRank.
ACM Trans. Knowl. Discov. Data
Qi Liu, Biao Xiang, Nicholas Jing Yuan, Enhong Chen, Hui Xiong, Yi Zheng, Yu Yang
2017 A* conf
Enhancing Campaign Design in Crowdfunding: A Product Supply Optimization Perspective.
IJCAI
Qi Liu, Guifeng Wang, Hongke Zhao, Chuanren Liu, Tong Xu, Enhong Chen
2017 A* conf
Incremental Matrix Factorization: A Linear Feature Transformation Perspective.
IJCAI
Xunpeng Huang, Le Wu, Enhong Chen, Hengshu Zhu, Qi Liu, Yijun Wang
2017 — conf
Knowledge or Gaming?: Cognitive Modelling Based on Multiple-Attempt Response.
WWW (Companion Volume)
Runze Wu, Guandong Xu, Enhong Chen, Qi Liu, Wan Ng
2017 — ch.
Mobile Travel Tour Recommendation.
Encyclopedia of GIS
Qi Liu
2017 J jnl
Modeling the Evolution of Users' Preferences and Social Links in Social Networking Services.
IEEE Trans. Knowl. Data Eng.
Le Wu, Yong Ge, Qi Liu, Enhong Chen, Richang Hong, Junping Du, Meng Wang
2017 J jnl
P2P Lending Survey: Platforms, Recent Advances and Prospects.
ACM Trans. Intell. Syst. Technol.
Hongke Zhao, Yong Ge, Qi Liu, Guifeng Wang, Enhong Chen, Hefu Zhang
2017 A* conf
Question Difficulty Prediction for READING Problems in Standard Tests.
AAAI
Zhenya Huang, Qi Liu, Enhong Chen, Hongke Zhao, Mingyong Gao, Si Wei, Yu Su, Guoping Hu
2017 J jnl
SHINE: Signed Heterogeneous Information Network Embedding for Sentiment Link Prediction.
CoRR
Hongwei Wang, Fuzheng Zhang, Min Hou, Xing Xie, Minyi Guo, Qi Liu
2017 B conf
Solving link-oriented tasks in signed network via an embedding approach.
SMC
Dongfang Du, Hao Wang, Tong Xu, Yanan Lu, Qi Liu, Enhong Chen
2017 A conf
Tracking Knowledge Proficiency of Students with Educational Priors.
CIKM
Yuying Chen, Qi Liu, Zhenya Huang, Le Wu, Enhong Chen, Runze Wu, Yu Su, Guoping Hu
2017 A* conf
Tracking the Dynamics in Crowdfunding.
KDD
Hongke Zhao, Hefu Zhang, Yong Ge, Qi Liu, Enhong Chen, Huayu Li, Le Wu
2016 Misc conf
A contextual collaborative approach for app usage forecasting.
UbiComp
Yingzi Wang, Nicholas Jing Yuan, Yu Sun, Fuzheng Zhang, Xing Xie, Qi Liu, Enhong Chen
2016 — conf
Collaborative Learning Team Formation: A Cognitive Modeling Perspective.
DASFAA (2)
Yuping Liu, Qi Liu, Runze Wu, Enhong Chen, Yu Su, Zhigang Chen, Guoping Hu
2016 A* conf
Days on Market: Measuring Liquidity in Real Estate Markets.
KDD
Hengshu Zhu, Hui Xiong, Fangshuang Tang, Qi Liu, Yong Ge, Enhong Chen, Yanjie Fu
2016 J jnl
Exploiting multi-channels deep convolutional neural networks for multivariate time series classification.
Frontiers Comput. Sci.
Yi Zheng, Qi Liu, Enhong Chen, Yong Ge, J. Leon Zhao
2016 — conf
Exploring the Choice Under Conflict for Social Event Participation.
DASFAA (1)
Xiangyu Zhao, Tong Xu, Qi Liu, Hao Guo
2016 — conf
Exploring the Procrastination of College Students: A Data-Driven Behavioral Perspective.
DASFAA (1)
Yan Zhu, Hengshu Zhu, Qi Liu, Enhong Chen, Hong Li, Hongke Zhao
2016 B conf
Forecasting price shocks with social attention and sentiment analysis.
ASONAM
Li Zhang, Liang Zhang, Keli Xiao, Qi Liu
2016 J jnl
From Footprint to Evidence: An Exploratory Study of Mining Social Data for Credit Scoring.
ACM Trans. Web
Guangming Guo, Feida Zhu, Enhong Chen, Qi Liu, Le Wu, Chu Guan
2016 A* conf
Group Preference Aggregation: A Nash Equilibrium Approach.
ICDM
Hongke Zhao, Qi Liu, Yong Ge, Ruoyan Kong, Enhong Chen
2016 A* conf
Modeling Users' Preferences and Social Links in Social Networking Services: A Joint-Evolving Perspective.
AAAI
Le Wu, Yong Ge, Qi Liu, Enhong Chen, Bai Long, Zhenya Huang
2016 A* conf
Mutual Reinforcement of Academic Performance Prediction and Library Book Recommendation.
ICDM
Defu Lian, Yuyang Ye, Wenya Zhu, Qi Liu, Xing Xie, Hui Xiong
2016 — conf
Personal Credit Profiling via Latent User Behavior Dimensions on Social Media.
PAKDD (2)
Guangming Guo, Feida Zhu, Enhong Chen, Le Wu, Qi Liu, Yingling Liu, Minghui Qiu
2016 A* conf
Portfolio Selections in P2P Lending: A Multi-Objective Perspective.
KDD
Hongke Zhao, Qi Liu, Guifeng Wang, Yong Ge, Enhong Chen
2016 A* conf
Reading the Videos: Temporal Labeling for Crowdsourced Time-Sync Videos Based on Semantic Embedding.
AAAI
Guangyi Lv, Tong Xu, Enhong Chen, Qi Liu, Yi Zheng
2016 J jnl
Relevance Meets Coverage: A Unified Framework to Generate Diversified Recommendations.
ACM Trans. Intell. Syst. Technol.
Le Wu, Qi Liu, Enhong Chen, Nicholas Jing Yuan, Guangming Guo, Xing Xie
2016 A* conf
Selecting Valuable Customers for Merchants in E-Commerce Platforms.
ICDM
Yijun Wang, Le Wu, Zongda Wu, Enhong Chen, Qi Liu
2016 A* conf
Sparse Factorization Machines for Click-through Rate Prediction.
ICDM
Zhen Pan, Enhong Chen, Qi Liu, Tong Xu, Haiping Ma, Hongjie Lin
2016 A* conf
Taxi Driving Behavior Analysis in Latent Vehicle-to-Vehicle Networks: A Social Influence Perspective.
KDD
Tong Xu, Hengshu Zhu, Xiangyu Zhao, Qi Liu, Hao Zhong, Enhong Chen, Hui Xiong
2016 J jnl
Tracking the evolution of social emotions with topic models.
Knowl. Inf. Syst.
Chen Zhu, Hengshu Zhu, Yong Ge, Enhong Chen, Qi Liu, Tong Xu, Hui Xiong
2015 A* conf
Cognitive Modelling for Predicting Examinee Performance.
IJCAI
Runze Wu, Qi Liu, Yuping Liu, Enhong Chen, Yu Su, Zhigang Chen, Guoping Hu
2015 — conf
Consolidation: Metric+Active Learning and Its Applications for Cross-Domain Recommendation.
WI-IAT (1)
Chu Guan, Qi Liu, Jingsong Lv, Enhong Chen, Hengshu Zhu, Xin Li
2015 A conf
Convex Matrix Completion: A Trace-Ball Optimization Perspective.
SDM
Guangxiang Zeng, Ping Luo, Enhong Chen, Hui Xiong, Hengshu Zhu, Qi Liu
2015 — conf
Convolutional Nonlinear Neighbourhood Components Analysis for Time Series Classification.
PAKDD (2)
Yi Zheng, Qi Liu, Enhong Chen, J. Leon Zhao, Liang He, Guangyi Lv
2015 — conf
Identifying Hesitant and Interested Customers for Targeted Social Marketing.
PAKDD (1)
Guowei Ma, Qi Liu, Le Wu, Enhong Chen
2015 — conf
Individual Influence Maximization via Link Recommendation.
WAIM
Guowei Ma, Qi Liu, Enhong Chen, Biao Xiang
2015 J jnl
Information Coverage Maximization in Social Networks.
CoRR
Zhefeng Wang, Enhong Chen, Qi Liu, Yu Yang, Yong Ge, Biao Chang
2015 A* conf
Information Source Detection via Maximum A Posteriori Estimation.
ICDM
Biao Chang, Feida Zhu, Enhong Chen, Qi Liu
2015 A* conf
Matrix Factorization with Scale-Invariant Parameters.
IJCAI
Guangxiang Zeng, Hengshu Zhu, Qi Liu, Ping Luo, Enhong Chen, Tong Zhang
2015 A* conf
Maximizing the Coverage of Information Propagation in Social Networks.
IJCAI
Zhefeng Wang, Enhong Chen, Qi Liu, Yu Yang, Yong Ge, Biao Chang
2015 A* conf
Mining Indecisiveness in Customer Behaviors.
ICDM
Qi Liu, Xianyu Zeng, Chuanren Liu, Hengshu Zhu, Enhong Chen, Hui Xiong, Xing Xie
2015 C conf
Mining User's Location Intention from Mobile Search Log.
KSEM
Yifan Sun, Xin Li, Lin Li, Qi Liu, Enhong Chen, Haiping Ma
2015 A* conf
Modeling Social Attention for Stock Analysis: An Influence Propagation Perspective.
ICDM
Li Zhang, Keli Xiao, Qi Liu, Yefan Tao, Yuefan Deng
2015 J jnl
Occupancy-Based Frequent Pattern Mining
ACM Trans. Knowl. Discov. Data
Lei Zhang, Ping Luo, Linpeng Tang, Enhong Chen, Qi Liu, Min Wang, Hui Xiong
2015 A conf
Product Adoption Rate Prediction: A Multi-factor View.
SDM
Le Wu, Qi Liu, Enhong Chen, Xing Xie, Chang Tan
2014 J jnl
A Cocktail Approach for Travel Package Recommendation.
IEEE Trans. Knowl. Data Eng.
Qi Liu, Enhong Chen, Hui Xiong, Yong Ge, Zhongmou Li, Xiang Wu
2014 J jnl
Cost-Aware Collaborative Filtering for Travel Tour Recommendations.
ACM Trans. Inf. Syst.
Yong Ge, Hui Xiong, Alexander Tuzhilin, Qi Liu
2014 B conf
Diversified social influence maximization.
ASONAM
Fangshuang Tang, Qi Liu, Hengshu Zhu, Enhong Chen, Feida Zhu
2014 C conf
High Utility Episode Mining Made Practical and Fast.
ADMA
Guangming Guo, Lei Zhang, Qi Liu, Enhong Chen, Feida Zhu, Chu Guan
2014 A conf
Influence Maximization over Large-Scale Social Networks: A Bounded Linear Approach.
CIKM
Qi Liu, Biao Xiang, Enhong Chen, Hui Xiong, Fangshuang Tang, Jeffrey Xu Yu
2014 A* conf
Influential nodes selection: a data reconstruction perspective.
SIGIR
Zhefeng Wang, Hao Wang, Qi Liu, Enhong Chen
2014 A* conf
Investment Recommendation in P2P Lending: A Portfolio Perspective with Risk Management.
ICDM
Hongke Zhao, Le Wu, Qi Liu, Yong Ge, Enhong Chen
2014 J jnl
Object-Oriented Travel Package Recommendation.
ACM Trans. Intell. Syst. Technol.
Chang Tan, Qi Liu, Enhong Chen, Hui Xiong, Xiang Wu
2014 — conf
On top-k closed sequential patterns mining.
FSKD
Jing Wang, Lei Zhang, Guiquan Liu, Qi Liu, Enhong Chen
2014 A* conf
Social Marketing Meets Targeted Customers: A Typical User Selection and Coverage Perspective.
ICDM
Qi Liu, Zheng Dong, Chuanren Liu, Xing Xie, Enhong Chen, Hui Xiong
2014 — conf
Time Series Classification Using Multi-Channels Deep Convolutional Neural Networks.
WAIM
Yi Zheng, Qi Liu, Enhong Chen, Yong Ge, J. Leon Zhao
2014 J jnl
Toward Personalized Context Recognition for Mobile Users: A Semisupervised Bayesian HMM Approach.
ACM Trans. Knowl. Discov. Data
Baoxing Huai, Enhong Chen, Hengshu Zhu, Hui Xiong, Tengfei Bao, Qi Liu, Jilei Tian
2014 A* conf
Tracking the Evolution of Social Emotions: A Time-Aware Topic Modeling Perspective.
ICDM
Chen Zhu, Hengshu Zhu, Yong Ge, Enhong Chen, Qi Liu
2013 J jnl
A Survey of Context-Aware Mobile Recommendations.
Int. J. Inf. Technol. Decis. Mak.
Qi Liu, Haiping Ma, Enhong Chen, Hui Xiong
2013 C conf
Co-anomaly Event Detection in Multiple Temperature Series.
KSEM
Xue Bai, Yun Xiong, Yangyong Zhu, Qi Liu, Zhiyuan Chen
2013 A* conf
Linear Computation for Independent Social Influence.
ICDM
Qi Liu, Biao Xiang, Lei Zhang, Enhong Chen, Chang Tan, Ji Chen
2013 A* conf
PageRank with Priors: An Influence Propagation Perspective.
IJCAI
Biao Xiang, Qi Liu, Enhong Chen, Hui Xiong, Yi Zheng, Yu Yang
2013 A conf
Personalized next-song recommendation in online karaokes.
RecSys
Xiang Wu, Qi Liu, Enhong Chen, Liang He, Jingsong Lv, Can Cao, Guoping Hu
2013 C conf
Random Walk with Pre-filtering for Social Link Prediction.
CIS
Ting Jin, Tong Xu, Enhong Chen, Qi Liu, Haiping Ma, Jingsong Lv, Guoping Hu
2012 J jnl
A Linear Circuit Model For Social Influence
CoRR
Biao Xiang, Enhong Chen, Hui Xiong, Qi Liu
2012 J jnl
A Social Influence Model Based On Circuit Theory
CoRR
Biao Xiang, Enhong Chen, Qi Liu, Hui Xiong, Yu Yang, Junyuan Xie
2012 C conf
Analyzing Sequence Data Based on Conditional Random Fields with Co-training.
CIS
Leilei Yang, Guiquan Liu, Qi Liu, Lei Zhang, Enhong Chen
2012 J jnl
Enhancing Collaborative Filtering by User Interest Expansion via Personalized Ranking.
IEEE Trans. Syst. Man Cybern. Part B
Qi Liu, Enhong Chen, Hui Xiong, Chris H. Q. Ding, Jian Chen
2012 A conf
Influential seed items recommendation.
RecSys
Qi Liu, Biao Xiang, Enhong Chen, Yong Ge, Hui Xiong, Tengfei Bao, Yi Zheng
2012 A conf
Leveraging tagging for neighborhood-aware probabilistic matrix factorization.
CIKM
Le Wu, Enhong Chen, Qi Liu, Linli Xu, Tengfei Bao, Lei Zhang
2012 — conf
On Approximation of Real-World Influence Spread.
ECML/PKDD (2)
Yu Yang, Enhong Chen, Qi Liu, Biao Xiang, Tong Xu, Shafqat Ali Shad
2011 A conf
Collaborative filtering with collective training.
RecSys
Yong Ge, Hui Xiong, Alexander Tuzhilin, Qi Liu
2011 A* conf
Cost-aware travel tour recommendation.
KDD
Yong Ge, Qi Liu, Hui Xiong, Alexander Tuzhilin, Jian Chen
2011 C conf
Gaussian Process for Recommender Systems.
KSEM
Qi Liu, Enhong Chen, Biao Xiang, Chris H. Q. Ding, Liang He
2011 A* conf
Personalized Travel Package Recommendation.
ICDM
Qi Liu, Yong Ge, Zhongmou Li, Enhong Chen, Hui Xiong
2010 A conf
Exploiting user interests for collaborative filtering: interests expansion via personalized ranking.
CIKM
Qi Liu, Enhong Chen, Hui Xiong, Chris H. Q. Ding