Enhong Chen
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
438
Venues
33
Active years
2017–2026
Best venue rank
A*
Where they publish
- A*KDD37 papers
- A*WWW34 papers
- A*AAAI29 papers
- ACIKM25 papers
- A*SIGIR24 papers
- A*ICDM24 papers
- BDASFAA21 papers
- A*ACL19 papers
- A*EMNLP13 papers
- A*IJCAI13 papers
- A*ICML9 papers
- AWSDM7 papers
- A*ICLR4 papers
- CAPWEB4 papers
- A*ICDE4 papers
- CKSEM4 papers
- BIJCNN4 papers
- A*CVPR3 papers
- BPAKDD3 papers
- BICIP2 papers
- BCOLING2 papers
- MulticonferenceICASSP2 papers
- BWISE2 papers
- ASDM2 papers
- AEACL1 paper
- ARecSys1 paper
- CHPCC1 paper
- BICTAI1 paper
- A*ICCV1 paper
- BMDM1 paper
- BCoNLL1 paper
- NationalNSDI1 paper
- BSMC1 paper
Papers
Showing the 300 most recent indexed papers.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | AAAI | Look as You Think: Unifying Reasoning and Visual Evidence Attribution for Verifiable Document RAG via Reinforcement Learning. | Shuochen Liu, Pengfei Luo, Chao Zhang, Yuhao Chen, Haotian Zhang, Qi Liu, Xin Kou, Tong Xu, Enhong Chen |
| 2026 | ACL | Memory-Augmented LLM-based Multi-Agent System for Automated Feature Generation on Tabular Data. | Fengxian Dong, Zhi Zheng, Xiao Han, Wei Chen, Jingqing Ruan, Tong Xu, Yong Chen, Enhong Chen |
| 2026 | ACL | VIGIL: Defending LLM Agents Against Tool-Stream Injection via Verify-Before-Commit. | Junda Lin, Zhaomeng Zhou, Zhi Zheng, Shuochen Liu, Tong Xu, Yong Chen, Enhong Chen |
| 2026 | ACL | LongTutor: Benchmarking Large Language Models for Long-term Personalized Tutoring. | Ning Li, Zheng Zhang, Zhenya Huang, Rui Li, Yi Zhan, Yinbo Luo, Qi Liu, Enhong Chen |
| 2026 | ACL | Learning from Emptiness: De-biasing Listwise Rerankers with Content-Agnostic Probability Calibration. | Hang Lv, Hongchao Gu, Ruiqing Yang, Liangyue Li, Zulong Chen, Defu Lian, Hao Wang, Enhong Chen |
| 2026 | ACL | Learning How and What to Memorize: Cognition-Inspired Two-Stage Optimization for Evolving Memory. | Derong Xu, Shuochen Liu, Pengfei Luo, Pengyue Jia, Yingyi Zhang, Yi Wen, Yimin Deng, Wenlin Zhang, Enhong Chen, Xiangyu Zhao, Tong Xu |
| 2026 | ACL | SPARD: Self-Paced Curriculum for RL Alignment via Integrating Reward Dynamics and Data Utility. | Xuyang Zhi, Peilun Zhou, Chengqiang Lu, Hang Lv, Yiwei Liang, Rongyang Zhang, Yan Gao, Yi Wu, Yao Hu, Hongchao Gu, Defu Lian, Hao Wang, Enhong Chen |
| 2026 | DASFAA | Efficient Personalized Reranking with Semi-autoregressive Generation and Online Knowledge Distillation. | Kai Chen, Hao Wang, Wei Guo, Weiwen Liu, Yong Liu, Yawen Li, Enhong Chen |
| 2026 | DASFAA | FlowRec: Prior-Informed Flow Matching for Efficient Sequential Recommendation Generation. | Li Li, Mingyue Cheng, Yuyang Ye, Zhiding Liu, Enhong Chen |
| 2026 | EACL | To Paraphrase or Not: Efficient Comment Detoxification with Unsupervised Detoxifiability Discrimination. | Jing Ke, Zheyong Xie, Shaosheng Cao, Tong Xu, Enhong Chen |
| 2026 | KDD | Uncertainty-Aware Planning for Disambiguating User Intent in Interactive LLM Agents: Application to Baidu Maps. | Deqiang Huang, Xinjiang Lu, Jingbo Zhou, Nijia Lu, Fuxin Li, Bo Hong, Chuanming Zhang, Tong Xu, Enhong Chen |
| 2026 | KDD | Thought-Augmented Planning for LLM-Powered Interactive Recommender Agent. | Haocheng Yu, Yaxiong Wu, Hao Wang, Wei Guo, Yong Liu, Yawen Li, Yuyang Ye, Junping Du, Enhong Chen |
| 2026 | WWW | Towards Context-aware Reasoning-enhanced Generative Searching in E-commerce. | Zhiding Liu, Ben Chen, Mingyue Cheng, Enhong Chen, Li Li, Chenyi Lei, Wenwu Ou, Han Li, Kun Gai |
| 2026 | WWW | Generative Data Transformation: From Mixed to Unified Data. | Jiaqing Zhang, Mingjia Yin, Hao Wang, Yuxin Tian, Yuyang Ye, Yawen Li, Wei Guo, Yong Liu, Enhong Chen |
| 2026 | SIGIR | Understanding DNNs in Feature Interaction Models: A Dimensional Collapse Perspective. | Jiancheng Wang, Mingjia Yin, Hao Wang, Enhong Chen |
| 2026 | WSDM | TimeMAE: Self-Supervised Representations of Time Series with Decoupled Masked Autoencoders. | Mingyue Cheng, Xiaoyu Tao, Zhiding Liu, Qi Liu, Hao Zhang, Rujiao Zhang, Enhong Chen |
| 2026 | WSDM | Can Slow-Thinking LLMs Reason Over Time? Empirical Studies in Time Series Forecasting. | Mingyue Cheng, Jiahao Wang, Daoyu Wang, Xiaoyu Tao, Qi Liu, Enhong Chen |
| 2025 | AAAI | Multi-Branch Self-Drafting for LLM Inference Acceleration. | Zipeng Gao, Qingrong Xia, Tong Xu, Xinyu Duan, Zhi Zheng, Zhefeng Wang, Enhong Chen |
| 2025 | AAAI | Explore What LLM Does Not Know in Complex Question Answering. | Xin Lin, Zhenya Huang, Zhiqiang Zhang, Jun Zhou, Enhong Chen |
| 2025 | AAAI | Harnessing Large Language Models for Knowledge Graph Question Answering via Adaptive Multi-Aspect Retrieval-Augmentation. | Derong Xu, Xinhang Li, Ziheng Zhang, Zhenxi Lin, Zhihong Zhu, Zhi Zheng, Xian Wu, Xiangyu Zhao, Tong Xu, Enhong Chen |
| 2025 | AAAI | Multi-Perspective Consolidation Enhanced Cognitive Diagnosis via Conditional Diffusion Model. | Guanhao Zhao, Zhenya Huang, Cheng Cheng, Yan Zhuang, Qingyang Mao, Xin Li, Shijin Wang, Enhong Chen |
| 2025 | ACL | RAPID: Efficient Retrieval-Augmented Long Text Generation with Writing Planning and Information Discovery. | Hongchao Gu, Dexun Li, Kuicai Dong, Hao Zhang, Hang Lv, Hao Wang, Defu Lian, Yong Liu, Enhong Chen |
| 2025 | ACL | Refining Sentence Embedding Model through Ranking Sentences Generation with Large Language Models. | Liyang He, Chenglong Liu, Rui Li, Zhenya Huang, Shulan Ruan, Jun Zhou, Enhong Chen |
| 2025 | ACL | MindBridge: Scalable and Cross-Model Knowledge Editing via Memory-Augmented Modality. | Shuaike Li, Kai Zhang, Qi Liu, Enhong Chen |
| 2025 | ACL | iPET: An Interactive Emotional Companion Dialogue System with LLM-Powered Virtual Pet World Simulation. | Zheyong Xie, Shaosheng Cao, Zuozhu Liu, Zheyu Ye, Zihan Niu, Chonggang Lu, Tong Xu, Enhong Chen, Zhe Xu, Yao Hu, Wei Lu |
| 2025 | ACL | TestAgent: An Adaptive and Intelligent Expert for Human Assessment. | Junhao Yu, Yan Zhuang, Yuxuan Sun, Weibo Gao, Qi Liu, Mingyue Cheng, Zhenya Huang, Enhong Chen |
| 2025 | CIKM | Multi-Source Knowledge Pruning for Retrieval-Augmented Generation: A Benchmark and Empirical Study. | Shuo Yu, Mingyue Cheng, Qi Liu, Daoyu Wang, Jiqian Yang, Jie Ouyang, Yucong Luo, Chenyi Lei, Enhong Chen |
| 2025 | CIKM | ECG-Doctor: An Interpretable Multimodal ECG Diagnosis Framework Based on Large Language Models. | Dongsheng Tian, Junzhe Jiang, Kai Zhang, Changchun Liu, Yu Yuan, Min Gao, Enhong Chen |
| 2025 | CVPR | Video-MME: The First-Ever Comprehensive Evaluation Benchmark of Multi-modal LLMs in Video Analysis. | Chaoyou Fu, Yuhan Dai, Yongdong Luo, Lei Li, Shuhuai Ren, Renrui Zhang, Zihan Wang, Chenyu Zhou, Yunhang Shen, Mengdan Zhang, Peixian Chen, Yanwei Li, Shaohui Lin, Sirui Zhao, Ke Li, Tong Xu, Xiawu Zheng, Enhong Chen, Caifeng Shan, Ran He, Xing Sun |
| 2025 | CVPR | Improving Visual and Downstream Performance of Low-Light Enhancer with Vision Foundation Models Collaboration. | Yuxuan Gu, Haoxuan Wang, Pengyang Ling, Zhixiang Wei, Huaian Chen, Yi Jin, Enhong Chen |
| 2025 | DASFAA | From Memorization to Discovery: A Novel Benchmark for Relational Triple Extraction. | Aoran Gan, Ye Liu, Hongbo Gang, Kai Zhang, Qi Liu, Enhong Chen, Xin Li, Guoping Hu |
| 2025 | DASFAA | Enhancing Protein-Ligand Binding Affinity Prediction via Parameter-Efficient Fine-Tuning of Protein and Chemical Language Models. | Ruikang Li, Jiaxian Yan, Kai Zhang, Yanjiang Chen, Qi Liu, Min Gao, Enhong Chen |
| 2025 | DASFAA | A Universal Framework for Compressing Embeddings in CTR Prediction. | Kefan Wang, Hao Wang, Kenan Song, Wei Guo, Kai Cheng, Zhi Li, Yong Liu, Defu Lian, Enhong Chen |
| 2025 | EMNLP | SelfAug: Mitigating Catastrophic Forgetting in Retrieval-Augmented Generation via Distribution Self-Alignment. | Yuqing Huang, Rongyang Zhang, Qimeng Wang, Chengqiang Lu, Yan Gao, Yi Wu, Yao Hu, Xuyang Zhi, Guiquan Liu, Xin Li, Hao Wang, Enhong Chen |
| 2025 | EMNLP | Scalable Data Synthesis through Human-like Cognitive Imitation and Data Recombination. | Zhongyi Ye, Weitai Zhang, Xinyuan Zhou, Yongxin Zhu, Ninghui Rao, Enhong Chen |
| 2025 | ICDM | Detect, Investigate, Judge and Determine: A Knowledge-Guided Framework for Few-Shot Fake News Detection. | Ye Liu, Jiajun Zhu, Xukai Liu, Haoyu Tang, Yanghai Zhang, Kai Zhang, Xiaofang Zhou, Enhong Chen |
| 2025 | ICDM | Learn while Unlearn: An Iterative Unlearning Framework for Generative Language Models. | Haoyu Tang, Ye Liu, Xi Zhao, Xukai Liu, Yanghai Zhang, Kai Zhang, Xiaofang Zhou, Enhong Chen |
| 2025 | ICDM | Fine-Grained Zero-Shot Composed Image Retrieval with Complementary Visual-Semantic Integration. | Yongcong Ye, Kai Zhang, Yanghai Zhang, Enhong Chen, Longfei Li, Jun Zhou |
| 2025 | ICIP | DGRGaze: A Difference-Guided Gaze Estimation Framework Based on 6D Rotation Matrix Representation. | Xiaohao Wang, Sirui Zhao, Xinglong Mao, Yiming Zhang, Shifeng Liu, Tong Xu, Enhong Chen |
| 2025 | ICLR | ToolACE: Winning the Points of LLM Function Calling. | Weiwen Liu, Xu Huang, Xingshan Zeng, Xinlong Hao, Shuai Yu, Dexun Li, Shuai Wang, Weinan Gan, Zhengying Liu, Yuanqing Yu, Zezhong Wang, Yuxian Wang, Wu Ning, Yutai Hou, Bin Wang, Chuhan Wu, Xinzhi Wang, Yong Liu, Yasheng Wang, Duyu Tang, Dandan Tu, Lifeng Shang, Xin Jiang, Ruiming Tang, Defu Lian, Qun Liu, Enhong Chen |
| 2025 | ICLR | Unveiling the Magic of Code Reasoning through Hypothesis Decomposition and Amendment. | Yuze Zhao, Tianyun Ji, Wenjun Feng, Zhenya Huang, Qi Liu, Zhiding Liu, Yixiao Ma, Kai Zhang, Enhong Chen |
| 2025 | ICML | CogMath: Assessing LLMs' Authentic Mathematical Ability from a Human Cognitive Perspective. | Jiayu Liu, Zhenya Huang, Wei Dai, Cheng Cheng, Jinze Wu, Jing Sha, Song Li, Qi Liu, Shijin Wang, Enhong Chen |
| 2025 | ICML | HyperTree Planning: Enhancing LLM Reasoning via Hierarchical Thinking. | Runquan Gui, Zhihai Wang, Jie Wang, Chi Ma, Huiling Zhen, Mingxuan Yuan, Jianye Hao, Defu Lian, Enhong Chen, Feng Wu |
| 2025 | ICML | What Makes In-context Learning Effective for Mathematical Reasoning. | Jiayu Liu, Zhenya Huang, Chaokun Wang, Xunpeng Huang, ChengXiang Zhai, Enhong Chen |
| 2025 | ICML | From Feature Interaction to Feature Generation: A Generative Paradigm of CTR Prediction Models. | Mingjia Yin, Junwei Pan, Hao Wang, Ximei Wang, Shangyu Zhang, Jie Jiang, Defu Lian, Enhong Chen |
| 2025 | ICML | Position: AI Evaluation Should Learn from How We Test Humans. | Yan Zhuang, Qi Liu, Zachary A. Pardos, Patrick C. Kyllonen, Jiyun Zu, Zhenya Huang, Shijin Wang, Enhong Chen |
| 2025 | KDD | Understanding the Effect of Loss Functions on the Generalization of Recommendations. | Yuanhao Pu, Defu Lian, Xiaolong Chen, Jin Chen, Ze Liu, Enhong Chen |
| 2025 | KDD | Breaking the Bottleneck: User-Specific Optimization and Real-Time Inference Integration for Sequential Recommendation. | Wenjia Xie, Hao Wang, Minghao Fang, Ruize Yu, Wei Guo, Yong Liu, Defu Lian, Enhong Chen |
| 2025 | KDD | Multi-granularity Interest Retrieval and Refinement Network for Long-Term User Behavior Modeling in CTR Prediction. | Xiang Xu, Hao Wang, Wei Guo, Luankang Zhang, Wanshan Yang, Runlong Yu, Yong Liu, Defu Lian, Enhong Chen |
| 2025 | KDD | NoteLLM-2: Multimodal Large Representation Models for Recommendation. | Chao Zhang, Haoxin Zhang, Shiwei Wu, Di Wu, Tong Xu, Xiangyu Zhao, Yan Gao, Yao Hu, Enhong Chen |
| 2025 | RecSys | Tag-augmented Dual-target Cross-domain Recommendation. | Mingfan Pan, Qingyang Mao, Xu An, Jianhui Ma, Gang Zhou, Mingyue Cheng, Enhong Chen |
| 2025 | WWW | Untitled record | Pengfei Luo, Jingbo Zhou, Tong Xu, Yuan Xia, Linli Xu, Enhong Chen |
| 2025 | WWW | Generative Large Recommendation Models: Emerging Trends in LLMs for Recommendation. | Hao Wang, Wei Guo, Luankang Zhang, Jin Yao Chin, Yufei Ye, Huifeng Guo, Yong Liu, Defu Lian, Ruiming Tang, Enhong Chen |
| 2025 | WWW | FuXi-α: Scaling Recommendation Model with Feature Interaction Enhanced Transformer. | Yufei Ye, Wei Guo, Jin Yao Chin, Hao Wang, Hong Zhu, Xi Lin, Yuyang Ye, Yong Liu, Ruiming Tang, Defu Lian, Enhong Chen |
| 2025 | WWW | Intelligent Interaction Platform for Personalized Digital Tutor: Advancing Empathetic and Adaptive Learning Experiences. | Kai Zhang, Weiyin Gong, Qi Liu, Junyu Lu, Meikai Bao, Xukai Liu, Linbo Zhu, Enhong Chen |
| 2025 | WWW | TD3: Tucker Decomposition Based Dataset Distillation Method for Sequential Recommendation. | Jiaqing Zhang, Mingjia Yin, Hao Wang, Yawen Li, Yuyang Ye, Xingyu Lou, Junping Du, Enhong Chen |
| 2025 | WWW | MIT: A Multi-Tower Information Transfer Framework Based on Hierarchical Task Relationship Modeling. | Rui Zhou, Hao Wang, Wei Guo, Qinglin Jia, Wenjia Xie, Xiang Xu, Yong Liu, Defu Lian, Enhong Chen |
| 2025 | SIGIR | DLF: Enhancing Explicit-Implicit Interaction via Dynamic Low-Order-Aware Fusion for CTR Prediction. | Kefan Wang, Hao Wang, Wei Guo, Yong Liu, Jianghao Lin, Defu Lian, Enhong Chen |
| 2025 | SIGIR | Killing Two Birds with One Stone: Unifying Retrieval and Ranking with a Single Generative Recommendation Model. | Luankang Zhang, Kenan Song, Yi Quan Lee, Wei Guo, Hao Wang, Yawen Li, Huifeng Guo, Yong Liu, Defu Lian, Enhong Chen |
| 2025 | WSDM | InstrucTime: Advancing Time Series Classification with Multimodal Language Modeling. | Mingyue Cheng, Yiheng Chen, Qi Liu, Zhiding Liu, Yucong Luo, Enhong Chen |
| 2024 | AAAI | Exploring Large Language Model for Graph Data Understanding in Online Job Recommendations. | Likang Wu, Zhaopeng Qiu, Zhi Zheng, Hengshu Zhu, Enhong Chen |
| 2024 | AAAI | Federated Contextual Cascading Bandits with Asynchronous Communication and Heterogeneous Users. | Hantao Yang, Xutong Liu, Zhiyong Wang, Hong Xie, John C. S. Lui, Defu Lian, Enhong Chen |
| 2024 | ACL | Generative Input: Towards Next-Generation Input Methods Paradigm. | Keyu Ding, Yongcan Wang, Zihang Xu, Zhenzhen Jia, Enhong Chen |
| 2024 | ACL | Visualization Recommendation with Prompt-based Reprogramming of Large Language Models. | Xinhang Li, Jingbo Zhou, Wei Chen, Derong Xu, Tong Xu, Enhong Chen |
| 2024 | ACL | Leveraging Entity Information for Cross-Modality Correlation Learning: The Entity-Guided Multimodal Summarization. | Yanghai Zhang, Ye Liu, Shiwei Wu, Kai Zhang, Xukai Liu, Qi Liu, Enhong Chen |
| 2024 | APWEB | MERGE: Multi-view Relationship Graph Network for Event-Driven Stock Movement Prediction. | Liu Che, Tong Xu, Qi Liu, Zhi Zheng, Jingyu Peng, Enhong Chen |
| 2024 | CIKM | UniMEL: A Unified Framework for Multimodal Entity Linking with Large Language Models. | Qi Liu, Yongyi He, Tong Xu, Defu Lian, Che Liu, Zhi Zheng, Enhong Chen |
| 2024 | CIKM | FZR: Enhancing Knowledge Transfer via Shared Factors Composition in Zero-Shot Relational Learning. | Zhijun Dong, Likang Wu, Kai Zhang, Ye Liu, Yanghai Zhang, Zhi Li, Hongke Zhao, Enhong Chen |
| 2024 | CIKM | Mitigating Cold-Start Problems in Knowledge Tracing with Large Language Models: An Attribute-aware Approach. | Yuxiang Guo, Shuanghong Shen, Qi Liu, Zhenya Huang, Linbo Zhu, Yu Su, Enhong Chen |
| 2024 | CIKM | Bridging User Dynamics: Transforming Sequential Recommendations with Schrdinger Bridge and Diffusion Models. | Wenjia Xie, Rui Zhou, Hao Wang, Tingjia Shen, Enhong Chen |
| 2024 | CIKM | Editing Factual Knowledge and Explanatory Ability of Medical Large Language Models. | Derong Xu, Ziheng Zhang, Zhihong Zhu, Zhenxi Lin, Qidong Liu, Xian Wu, Tong Xu, Wanyu Wang, Yuyang Ye, Xiangyu Zhao, Enhong Chen, Yefeng Zheng |
| 2024 | CIKM | Learning the Dynamics in Sequential Recommendation by Exploiting Real-time Information. | Rujiao Zhang, Hao Zhang, Yucong Luo, Zhiding Liu, Mingyue Cheng, Qi Liu, Enhong Chen |
| 2024 | COLING | Multi-perspective Improvement of Knowledge Graph Completion with Large Language Models. | Derong Xu, Ziheng Zhang, Zhenxi Lin, Xian Wu, Zhihong Zhu, Tong Xu, Xiangyu Zhao, Yefeng Zheng, Enhong Chen |
| 2024 | COLING | MRT: Multi-modal Short- and Long-range Temporal Convolutional Network for Time-sync Comment Video Behavior Prediction. | Weihao Zhao, Weidong He, Hao Wang, Haoyang Bi, Han Wu, Chen Zhu, Tong Xu, Enhong Chen |
| 2024 | DASFAA | Empowering Sequential Recommendation from Collaborative Signals and Semantic Relatedness. | Mingyue Cheng, Hao Zhang, Qi Liu, Fajie Yuan, Zhi Li, Zhenya Huang, Enhong Chen, Jun Zhou, Longfei Li |
| 2024 | DASFAA | Empowering Few-Shot Relation Extraction with The Integration of Traditional RE Methods and Large Language Models. | Ye Liu, Kai Zhang, Aoran Gan, Linan Yue, Feng Hu, Qi Liu, Enhong Chen |
| 2024 | DASFAA | Unlocking the Potential of Large Language Models for Explainable Recommendations. | Yucong Luo, Mingyue Cheng, Hao Zhang, Junyu Lu, Enhong Chen |
| 2024 | DASFAA | Learning Recommender Systems with Soft Target: A Decoupled Perspective. | Hao Zhang, Mingyue Cheng, Qi Liu, Yucong Luo, Rui Li, Enhong Chen |
| 2024 | DASFAA | A Unified Framework for Adaptive Representation Enhancement and Inversed Learning in Cross-Domain Recommendation. | Luankang Zhang, Hao Wang, Suojuan Zhang, Mingjia Yin, Yongqiang Han, Jiaqing Zhang, Defu Lian, Enhong Chen |
| 2024 | EMNLP | Double-Checker: Large Language Model as a Checker for Few-shot Named Entity Recognition. | Wei Chen, Lili Zhao, Zhi Zheng, Tong Xu, Yang Wang, Enhong Chen |
| 2024 | EMNLP | Towards Explainable Computerized Adaptive Testing with Large Language Model. | Cheng Cheng, Guanhao Zhao, Zhenya Huang, Yan Zhuang, Zhaoyuan Pan, Qi Liu, Xin Li, Enhong Chen |
| 2024 | EMNLP | OneNet: A Fine-Tuning Free Framework for Few-Shot Entity Linking via Large Language Model Prompting. | Xukai Liu, Ye Liu, Kai Zhang, Kehang Wang, Qi Liu, Enhong Chen |
| 2024 | EMNLP | ARM: An Alignment-and-Replacement Module for Chinese Spelling Check Based on LLMs. | Changchun Liu, Kai Zhang, Junzhe Jiang, Zirui Liu, Hanqing Tao, Min Gao, Enhong Chen |
| 2024 | EMNLP | Retrieve-Plan-Generation: An Iterative Planning and Answering Framework for Knowledge-Intensive LLM Generation. | Yuanjie Lyu, Zihan Niu, Zheyong Xie, Chao Zhang, Tong Xu, Yang Wang, Enhong Chen |
| 2024 | EMNLP | In-Context Former: Lightning-fast Compressing Context for Large Language Model. | Xiangfeng Wang, Zaiyi Chen, Tong Xu, Zheyong Xie, Yongyi He, Enhong Chen |
| 2024 | EMNLP | Granular Entity Mapper: Advancing Fine-grained Multimodal Named Entity Recognition and Grounding. | Ziqi Wang, Chen Zhu, Zhi Zheng, Xinhang Li, Tong Xu, Yongyi He, Qi Liu, Ying Yu, Enhong Chen |
| 2024 | EMNLP | Mitigating Hallucinations of Large Language Models in Medical Information Extraction via Contrastive Decoding. | Derong Xu, Ziheng Zhang, Zhihong Zhu, Zhenxi Lin, Qidong Liu, Xian Wu, Tong Xu, Xiangyu Zhao, Yefeng Zheng, Enhong Chen |
| 2024 | ICASSP | Communication-Efficient Personalized Federated Learning for Speech-to-Text Tasks. | Yichao Du, Zhirui Zhang, Linan Yue, Xu Huang, Yuqing Zhang, Tong Xu, Linli Xu, Enhong Chen |
| 2024 | ICDE | Scaling Up Multivariate Time Series Pre-Training with Decoupled Spatial-Temporal Representations. | Rui Zha, Le Zhang, Shuangli Li, Jingbo Zhou, Tong Xu, Hui Xiong, Enhong Chen |
| 2024 | ICML | Learning-Efficient Yet Generalizable Collaborative Filtering for Item Recommendation. | Yuanhao Pu, Xiaolong Chen, Xu Huang, Jin Chen, Defu Lian, Enhong Chen |
| 2024 | ICML | A Unified Adaptive Testing System Enabled by Hierarchical Structure Search. | Junhao Yu, Yan Zhuang, Zhenya Huang, Qi Liu, Xin Li, Rui Li, Enhong Chen |
| 2024 | IJCAI | Learning to Solve Geometry Problems via Simulating Human Dual-Reasoning Process. | Tong Xiao, Jiayu Liu, Zhenya Huang, Jinze Wu, Jing Sha, Shijin Wang, Enhong Chen |
| 2024 | IJCAI | Pre-training General User Representation with Multi-type APP Behaviors. | Yuren Zhang, Min Hou, Kai Zhang, Yuqing Yuan, Chao Song, Zhihao Ye, Enhong Chen, Yang Yu |
| 2024 | KDD | When Box Meets Graph Neural Network in Tag-aware Recommendation. | Fake Lin, Ziwei Zhao, Xi Zhu, Da Zhang, Shitian Shen, Xueying Li, Tong Xu, Suojuan Zhang, Enhong Chen |
| 2024 | KDD | Dataset Regeneration for Sequential Recommendation. | Mingjia Yin, Hao Wang, Wei Guo, Yong Liu, Suojuan Zhang, Sirui Zhao, Defu Lian, Enhong Chen |
| 2024 | WWW | Towards Personalized Evaluation of Large Language Models with An Anonymous Crowd-Sourcing Platform. | Mingyue Cheng, Hao Zhang, Jiqian Yang, Qi Liu, Li Li, Xin Huang, Liwei Song, Zhi Li, Zhenya Huang, Enhong Chen |
| 2024 | WWW | Efficient Noise-Decoupling for Multi-Behavior Sequential Recommendation. | Yongqiang Han, Hao Wang, Kefan Wang, Likang Wu, Zhi Li, Wei Guo, Yong Liu, Defu Lian, Enhong Chen |
| 2024 | WWW | Bit-mask Robust Contrastive Knowledge Distillation for Unsupervised Semantic Hashing. | Liyang He, Zhenya Huang, Jiayu Liu, Enhong Chen, Fei Wang, Jing Sha, Shijin Wang |
| 2024 | WWW | A Knowledge-Injected Curriculum Pretraining Framework for Question Answering. | Xin Lin, Tianhuang Su, Zhenya Huang, Shangzi Xue, Haifeng Liu, Enhong Chen |
| 2024 | WWW | Large Language Model based Long-tail Query Rewriting in Taobao Search. | Wenjun Peng, Guiyang Li, Yue Jiang, Zilong Wang, Dan Ou, Xiaoyi Zeng, Derong Xu, Tong Xu, Enhong Chen |
| 2024 | WWW | Unified Uncertainty Estimation for Cognitive Diagnosis Models. | Fei Wang, Qi Liu, Enhong Chen, Chuanren Liu, Zhenya Huang, Jinze Wu, Shijin Wang |
| 2024 | WWW | NoteLLM: A Retrievable Large Language Model for Note Recommendation. | Chao Zhang, Shiwei Wu, Haoxin Zhang, Tong Xu, Yan Gao, Yao Hu, Enhong Chen |
| 2024 | SIGIR | Unifying Graph Retrieval and Prompt Tuning for Graph-Grounded Text Classification. | Le Dai, Yu Yin, Enhong Chen, Hui Xiong |
| 2024 | WISE | MDAP: A Multi-view Disentangled and Adaptive Preference Learning Framework for Cross-Domain Recommendation. | Junxiong Tong, Mingjia Yin, Hao Wang, Qiushi Pan, Defu Lian, Enhong Chen |
| 2024 | WSDM | GAP: A Grammar and Position-Aware Framework for Efficient Recognition of Multi-Line Mathematical Formulas. | Zhe Yang, Qi Liu, Kai Zhang, Shiwei Tong, Enhong Chen |
| 2024 | SDM | Graph-based Student Knowledge Profile for Online Intelligent Education. | Jinze Wu, Haotian Zhang, Zhenya Huang, Liang Ding, Qi Liu, Jing Sha, Enhong Chen, Shijin Wang |
| 2023 | AAAI | BETA-CD: A Bayesian Meta-Learned Cognitive Diagnosis Framework for Personalized Learning. | Haoyang Bi, Enhong Chen, Weidong He, Han Wu, Weihao Zhao, Shijin Wang, Jinze Wu |
| 2023 | AAAI | Towards a Holistic Understanding of Mathematical Questions with Contrastive Pre-training. | Yuting Ning, Zhenya Huang, Xin Lin, Enhong Chen, Shiwei Tong, Zheng Gong, Shijin Wang |
| 2023 | AAAI | Query-Aware Quantization for Maximum Inner Product Search. | Jin Zhang, Defu Lian, Haodi Zhang, Baoyun Wang, Enhong Chen |
| 2023 | ACL | Enhancing Hierarchical Text Classification through Knowledge Graph Integration. | Ye Liu, Kai Zhang, Zhenya Huang, Kehang Wang, Yanghai Zhang, Qi Liu, Enhong Chen |
| 2023 | ACL | RHGN: Relation-gated Heterogeneous Graph Network for Entity Alignment in Knowledge Graphs. | Xukai Liu, Kai Zhang, Ye Liu, Enhong Chen, Zhenya Huang, Linan Yue, Jiaxian Yan |
| 2023 | CIKM | HEProto: A Hierarchical Enhancing ProtoNet based on Multi-Task Learning for Few-shot Named Entity Recognition. | Wei Chen, Lili Zhao, Pengfei Luo, Tong Xu, Yi Zheng, Enhong Chen |
| 2023 | CIKM | Search-Efficient Computerized Adaptive Testing. | Yuting Hong, Shiwei Tong, Wei Huang, Yan Zhuang, Qi Liu, Enhong Chen, Xin Li, Yuanjing He |
| 2023 | CIKM | APGL4SR: A Generic Framework with Adaptive and Personalized Global Collaborative Information in Sequential Recommendation. | Mingjia Yin, Hao Wang, Xiang Xu, Likang Wu, Sirui Zhao, Wei Guo, Yong Liu, Ruiming Tang, Defu Lian, Enhong Chen |
| 2023 | CIKM | Federated News Recommendation with Fine-grained Interpolation and Dynamic Clustering. | Sanshi Lei Yu, Qi Liu, Fei Wang, Yang Yu, Enhong Chen |
| 2023 | CIKM | Non-IID always Bad? Semi-Supervised Heterogeneous Federated Learning with Local Knowledge Enhancement. | Chao Zhang, Fangzhao Wu, Jingwei Yi, Derong Xu, Yang Yu, Jindong Wang, Yidong Wang, Tong Xu, Xing Xie, Enhong Chen |
| 2023 | CIKM | Simulating Student Interactions with Two-stage Imitation Learning for Intelligent Educational Systems. | Guanhao Zhao, Zhenya Huang, Yan Zhuang, Jiayu Liu, Qi Liu, Zhiding Liu, Jinze Wu, Enhong Chen |
| 2023 | DASFAA | GUESR: A Global Unsupervised Data-Enhancement with Bucket-Cluster Sampling for Sequential Recommendation. | Yongqiang Han, Likang Wu, Hao Wang, Guifeng Wang, Mengdi Zhang, Zhi Li, Defu Lian, Enhong Chen |
| 2023 | DASFAA | Class-Dynamic and Hierarchy-Constrained Network for Entity Linking. | Kehang Wang, Qi Liu, Kai Zhang, Ye Liu, Hanqing Tao, Zhenya Huang, Enhong Chen |
| 2023 | DASFAA | Few-Shot Link Prediction for Event-Based Social Networks via Meta-learning. | Xi Zhu, Pengfei Luo, Ziwei Zhao, Tong Xu, Aakas Lizhiyu, Yu Yu, Xueying Li, Enhong Chen |
| 2023 | ICDE | Multimodal Biological Knowledge Graph Completion via Triple Co-Attention Mechanism. | Derong Xu, Jingbo Zhou, Tong Xu, Yuan Xia, Ji Liu, Enhong Chen, Dejing Dou |
| 2023 | ICDE | Collaborative List-and-Pairwise Filtering from Implicit Feedback : Extended Abstract. | Runlong Yu, Qi Liu, Yuyang Ye, Mingyue Cheng, Enhong Chen, Jianhui Ma |
| 2023 | ICLR | Federated Nearest Neighbor Machine Translation. | Yichao Du, Zhirui Zhang, Bingzhe Wu, Lemao Liu, Tong Xu, Enhong Chen |
| 2023 | ICML | Nearly Optimal Competitive Ratio for Online Allocation Problems with Two-sided Resource Constraints and Finite Requests. | Qixin Zhang, Wenbing Ye, Zaiyi Chen, Haoyuan Hu, Enhong Chen, Yu Yang |
| 2023 | IJCAI | KMF: Knowledge-Aware Multi-Faceted Representation Learning for Zero-Shot Node Classification. | Likang Wu, Junji Jiang, Hongke Zhao, Hao Wang, Defu Lian, Mengdi Zhang, Enhong Chen |
| 2023 | IJCAI | Exploiting Non-Interactive Exercises in Cognitive Diagnosis. | Fangzhou Yao, Qi Liu, Min Hou, Shiwei Tong, Zhenya Huang, Enhong Chen, Jing Sha, Shijin Wang |
| 2023 | KDD | Learning Balanced Tree Indexes for Large-Scale Vector Retrieval. | Wuchao Li, Chao Feng, Defu Lian, Yuxin Xie, Haifeng Liu, Yong Ge, Enhong Chen |
| 2023 | KDD | Guiding Mathematical Reasoning via Mastering Commonsense Formula Knowledge. | Jiayu Liu, Zhenya Huang, Zhiyuan Ma, Qi Liu, Enhong Chen, Tianhuang Su, Haifeng Liu |
| 2023 | KDD | Multi-Temporal Relationship Inference in Urban Areas. | Shuangli Li, Jingbo Zhou, Ji Liu, Tong Xu, Enhong Chen, Hui Xiong |
| 2023 | KDD | Multi-Grained Multimodal Interaction Network for Entity Linking. | Pengfei Luo, Tong Xu, Shiwei Wu, Chen Zhu, Linli Xu, Enhong Chen |
| 2023 | KDD | Recognizing Unseen Objects via Multimodal Intensive Knowledge Graph Propagation. | Likang Wu, Zhi Li, Hongke Zhao, Zhefeng Wang, Qi Liu, Baoxing Huai, Nicholas Jing Yuan, Enhong Chen |
| 2023 | KDD | A Causality Inspired Framework for Model Interpretation. | Chenwang Wu, Xiting Wang, Defu Lian, Xing Xie, Enhong Chen |
| 2023 | KDD | Learning Behavior-oriented Knowledge Tracing. | Bihan Xu, Zhenya Huang, Jiayu Liu, Shuanghong Shen, Qi Liu, Enhong Chen, Jinze Wu, Shijin Wang |
| 2023 | KDD | Cognitive Evolutionary Search to Select Feature Interactions for Click-Through Rate Prediction. | Runlong Yu, Xiang Xu, Yuyang Ye, Qi Liu, Enhong Chen |
| 2023 | KSEM | Are GPT Embeddings Useful for Ads and Recommendation? | Wenjun Peng, Derong Xu, Tong Xu, Jianjin Zhang, Enhong Chen |
| 2023 | WWW | Membership Inference Attacks Against Sequential Recommender Systems. | Zhihao Zhu, Chenwang Wu, Rui Fan, Defu Lian, Enhong Chen |
| 2023 | WWW | FormerTime: Hierarchical Multi-Scale Representations for Multivariate Time Series Classification. | Mingyue Cheng, Qi Liu, Zhiding Liu, Zhi Li, Yucong Luo, Enhong Chen |
| 2023 | WWW | AutoS2AE: Automate to Regularize Sparse Shallow Autoencoders for Recommendation. | Rui Fan, Yuanhao Pu, Jin Chen, Zhihao Zhu, Defu Lian, Enhong Chen |
| 2023 | WWW | MassNE: Exploring Higher-Order Interactions with Marginal Effect for Massive Battle Outcome Prediction. | Yin Gu, Kai Zhang, Qi Liu, Xin Lin, Zhenya Huang, Enhong Chen |
| 2023 | WWW | Cooperative Retriever and Ranker in Deep Recommenders. | Xu Huang, Defu Lian, Jin Chen, Zheng Liu, Xing Xie, Enhong Chen |
| 2023 | WWW | Differentiable Optimized Product Quantization and Beyond. | Zepu Lu, Defu Lian, Jin Zhang, Zaixi Zhang, Chao Feng, Hao Wang, Enhong Chen |
| 2023 | WWW | Tracing Knowledge Instead of Patterns: Stable Knowledge Tracing with Diagnostic Transformer. | Yu Yin, Le Dai, Zhenya Huang, Shuanghong Shen, Fei Wang, Qi Liu, Enhong Chen, Xin Li |
| 2023 | SIGIR | Learning from Crowds with Annotation Reliability. | Zhi Cao, Enhong Chen, Ye Huang, Shuanghong Shen, Zhenya Huang |
| 2023 | SIGIR | Using Entropy for Group Sampling in Pairwise Ranking from implicit feedback. | Yujie Chen, Runlong Yu, Qi Liu, Enhong Chen, Zhenya Huang |
| 2023 | SIGIR | RecStudio: Towards a Highly-Modularized Recommender System. | Defu Lian, Xu Huang, Xiaolong Chen, Jin Chen, Xingmei Wang, Yankai Wang, Haoran Jin, Rui Fan, Zheng Liu, Le Wu, Enhong Chen |
| 2023 | SIGIR | A Mathematical Word Problem Generator with Structure Planning and Knowledge Enhancement. | Longhu Qin, Jiayu Liu, Zhenya Huang, Kai Zhang, Qi Liu, Binbin Jin, Enhong Chen |
| 2023 | SIGIR | Time-interval Aware Share Recommendation via Bi-directional Continuous Time Dynamic Graphs. | Ziwei Zhao, Xi Zhu, Tong Xu, Aakas Lizhiyu, Yu Yu, Xueying Li, Zikai Yin, Enhong Chen |
| 2022 | AAAI | Anisotropic Additive Quantization for Fast Inner Product Search. | Jin Zhang, Qi Liu, Defu Lian, Zheng Liu, Le Wu, Enhong Chen |
| 2022 | ACL | Incorporating Dynamic Semantics into Pre-Trained Language Model for Aspect-based Sentiment Analysis. | Kai Zhang, Kun Zhang, Mengdi Zhang, Hongke Zhao, Qi Liu, Wei Wu, Enhong Chen |
| 2022 | CIKM | Faithful Abstractive Summarization via Fact-aware Consistency-constrained Transformer. | Yuanjie Lyu, Chen Zhu, Tong Xu, Zikai Yin, Enhong Chen |
| 2022 | CIKM | CPEE: Civil Case Judgment Prediction centering on the Trial Mode of Essential Elements. | Lili Zhao, Linan Yue, Yanqing An, Yuren Zhang, Jun Yu, Qi Liu, Enhong Chen |
| 2022 | CVPR | Reusing the Task-specific Classifier as a Discriminator: Discriminator-free Adversarial Domain Adaptation. | Lin Chen, Huaian Chen, Zhixiang Wei, Xin Jin, Xiao Tan, Yi Jin, Enhong Chen |
| 2022 | EMNLP | Non-Parametric Domain Adaptation for End-to-End Speech Translation. | Yichao Du, Weizhi Wang, Zhirui Zhang, Boxing Chen, Tong Xu, Jun Xie, Enhong Chen |
| 2022 | EMNLP | VIRT: Improving Representation-based Text Matching via Virtual Interaction. | Dan Li, Yang Yang, Hongyin Tang, Jiahao Liu, Qifan Wang, Jingang Wang, Tong Xu, Wei Wu, Enhong Chen |
| 2022 | HPCC | PaddlePaddle: A Production-Oriented Deep Learning Platform Facilitating the Competency of Enterprises. | Ran Bi, Tongtong Xu, Mingxue Xu, Enhong Chen |
| 2022 | ICDM | Decomposing Complementary and Substitutable Relations for Intercorporate Investment Recommendation. | Le Dai, Yu Yin, Chuan Qin, Enhong Chen, Hui Xiong |
| 2022 | ICDM | One Person, One Model - Learning Compound Router for Sequential Recommendation. | Zhiding Liu, Mingyue Cheng, Zhi Li, Qi Liu, Enhong Chen |
| 2022 | ICDM | A Cognitive Solver with Autonomously Knowledge Learning for Reasoning Mathematical Answers. | Jiayu Liu, Zhenya Huang, Xin Lin, Qi Liu, Jianhui Ma, Enhong Chen |
| 2022 | ICIP | AVT: Au-Assisted Visual Transformer for Facial Expression Recognition. | Rijin Jin, Sirui Zhao, Zhongkai Hao, Yifan Xu, Tong Xu, Enhong Chen |
| 2022 | IJCNN | Multi-Relational Graph Convolution Network for Stock Movement Prediction. | Zihao Zhou, Le Zhang, Rui Zha, Qiming Hao, Tong Xu, Di Wu, Enhong Chen |
| 2022 | IJCNN | Text Classification via Learning Semantic Dependency and Association. | Guanqi Zhu, Hanqing Tao, Han Wu, Liyi Chen, Ye Liu, Qi Liu, Enhong Chen |
| 2022 | ICTAI | Modeling Offline Knowledge Evolution Effect for Online Knowledge Tracing. | Xiaonan Zeng, Shuanghong Shen, Zhenya Huang, Enhong Chen, Yu Su, Shijin Wang |
| 2022 | KDD | Multi-modal Siamese Network for Entity Alignment. | Liyi Chen, Zhi Li, Tong Xu, Han Wu, Zhefeng Wang, Nicholas Jing Yuan, Enhong Chen |
| 2022 | KDD | HierCDF: A Bayesian Network-based Hierarchical Cognitive Diagnosis Framework. | Jiatong Li, Fei Wang, Qi Liu, Mengxiao Zhu, Wei Huang, Zhenya Huang, Enhong Chen, Yu Su, Shijin Wang |
| 2022 | KDD | Incremental Cognitive Diagnosis for Intelligent Education. | Shiwei Tong, Jiayu Liu, Yuting Hong, Zhenya Huang, Le Wu, Qi Liu, Wei Huang, Enhong Chen, Dan Zhang |
| 2022 | KDD | DDR: Dialogue Based Doctor Recommendation for Online Medical Service. | Zhi Zheng, Zhaopeng Qiu, Hui Xiong, Xian Wu, Tong Xu, Enhong Chen, Xiangyu Zhao |
| 2022 | KSEM | Low-Quality itDanMu Detection via Eye-Tracking Patterns. | Xiangyang Liu, Weidong He, Tong Xu, Enhong Chen |
| 2022 | WWW | Towards Automatic Discovering of Deep Hybrid Network Architecture for Sequential Recommendation. | Mingyue Cheng, Zhiding Liu, Qi Liu, Shenyang Ge, Enhong Chen |
| 2022 | WWW | Learning Recommenders for Implicit Feedback with Importance Resampling. | Jin Chen, Defu Lian, Binbin Jin, Kai Zheng, Enhong Chen |
| 2022 | WWW | Fast Variational AutoEncoder with Inverted Multi-Index for Collaborative Filtering. | Jin Chen, Defu Lian, Binbin Jin, Xu Huang, Kai Zheng, Enhong Chen |
| 2022 | WWW | Multi-Granularity Residual Learning with Confidence Estimation for Time Series Prediction. | Min Hou, Chang Xu, Zhi Li, Yang Liu, Weiqing Liu, Enhong Chen, Jiang Bian |
| 2022 | WWW | CBR: Context Bias aware Recommendation for Debiasing User Modeling and Click Prediction✱. | Zhi Zheng, Zhaopeng Qiu, Tong Xu, Xian Wu, Xiangyu Zhao, Enhong Chen, Hui Xiong |
| 2022 | SIGIR | Improving Implicit Alternating Least Squares with Ring-based Regularization. | Rui Fan, Jin Chen, Jin Zhang, Defu Lian, Enhong Chen |
| 2022 | SIGIR | Forest-based Deep Recommender. | Chao Feng, Defu Lian, Zheng Liu, Xing Xie, Le Wu, Enhong Chen |
| 2022 | SIGIR | PST: Measuring Skill Proficiency in Programming Exercise Process via Programming Skill Tracing. | Ruixin Li, Yu Yin, Le Dai, Shuanghong Shen, Xin Lin, Yu Su, Enhong Chen |
| 2022 | SIGIR | Assessing Student's Dynamic Knowledge State by Exploring the Question Difficulty Effect. | Shuanghong Shen, Zhenya Huang, Qi Liu, Yu Su, Shijin Wang, Enhong Chen |
| 2022 | SIGIR | Preference Enhanced Social Influence Modeling for Network-Aware Cascade Prediction. | Likang Wu, Hao Wang, Enhong Chen, Zhi Li, Hongke Zhao, Jianhui Ma |
| 2022 | SIGIR | Clustering based Behavior Sampling with Long Sequential Data for CTR Prediction. | Yuren Zhang, Enhong Chen, Binbin Jin, Hao Wang, Min Hou, Wei Huang, Runlong Yu |
| 2022 | SIGIR | Graph Adaptive Semantic Transfer for Cross-domain Sentiment Classification. | Kai Zhang, Qi Liu, Zhenya Huang, Mingyue Cheng, Kun Zhang, Mengdi Zhang, Wei Wu, Enhong Chen |
| 2022 | SIGIR | A Robust Computerized Adaptive Testing Approach in Educational Question Retrieval. | Yan Zhuang, Qi Liu, Zhenya Huang, Zhi Li, Binbin Jin, Haoyang Bi, Enhong Chen, Shijin Wang |
| 2022 | WISE | Towards Robust Recommender Systems via Triple Cooperative Defense. | Qingyang Wang, Defu Lian, Chenwang Wu, Enhong Chen |
| 2022 | WSDM | AdaptKT: A Domain Adaptable Method for Knowledge Tracing. | Song Cheng, Qi Liu, Enhong Chen, Kai Zhang, Zhenya Huang, Yu Yin, Xiaoqing Huang, Yu Su |
| 2021 | AAAI | HMS: A Hierarchical Solver with Dependency-Enhanced Understanding for Math Word Problem. | Xin Lin, Zhenya Huang, Hongke Zhao, Enhong Chen, Qi Liu, Hao Wang, Shijin Wang |
| 2021 | AAAI | Cross-Oilfield Reservoir Classification via Multi-Scale Sensor Knowledge Transfer. | Zhi Li, Zhefeng Wang, Zhicheng Wei, Xiangguang Zhou, Yijun Wang, Baoxing Huai, Qi Liu, Nicholas Jing Yuan, Renbin Gong, Enhong Chen |
| 2021 | AAAI | Ideography Leads Us to the Field of Cognition: A Radical-Guided Associative Model for Chinese Text Classification. | Hanqing Tao, Shiwei Tong, Kun Zhang, Tong Xu, Qi Liu, Enhong Chen, Min Hou |
| 2021 | AAAI | Coupling Macro-Sector-Micro Financial Indicators for Learning Stock Representations with Less Uncertainty. | Guifeng Wang, Longbing Cao, Hongke Zhao, Qi Liu, Enhong Chen |
| 2021 | AAAI | Making the Relation Matters: Relation of Relation Learning Network for Sentence Semantic Matching. | Kun Zhang, Le Wu, Guangyi Lv, Meng Wang, Enhong Chen, Shulan Ruan |
| 2021 | CIKM | Stock Trend Prediction with Multi-granularity Data: A Contrastive Learning Approach with Adaptive Fusion. | Min Hou, Chang Xu, Yang Liu, Weiqing Liu, Jiang Bian, Le Wu, Zhi Li, Enhong Chen, Tie-Yan Liu |
| 2021 | CIKM | SIFN: A Sentiment-aware Interactive Fusion Network for Review-based Item Recommendation. | Kai Zhang, Hao Qian, Qi Liu, Zhiqiang Zhang, Jun Zhou, Jianhui Ma, Enhong Chen |
| 2021 | DASFAA | Inheritance-Guided Hierarchical Assignment for Clinical Automatic Diagnosis. | Yichao Du, Pengfei Luo, Xudong Hong, Tong Xu, Zhe Zhang, Chao Ren, Yi Zheng, Enhong Chen |
| 2021 | DASFAA | Unpaired Multimodal Neural Machine Translation via Reinforcement Learning. | Yijun Wang, Tianxin Wei, Qi Liu, Enhong Chen |
| 2021 | DASFAA | Learning the Implicit Semantic Representation on Graph-Structured Data. | Likang Wu, Zhi Li, Hongke Zhao, Qi Liu, Jun Wang, Mengdi Zhang, Enhong Chen |
| 2021 | EMNLP | Cross Attention Augmented Transducer Networks for Simultaneous Translation. | Dan Liu, Mengge Du, Xiaoxi Li, Ya Li, Enhong Chen |
| 2021 | ICASSP | Lightspeech: Lightweight and Fast Text to Speech with Neural Architecture Search. | Renqian Luo, Xu Tan, Rui Wang, Tao Qin, Jinzhu Li, Sheng Zhao, Enhong Chen, Tie-Yan Liu |
| 2021 | ICCV | DAE-GAN: Dynamic Aspect-aware GAN for Text-to-Image Synthesis. | Shulan Ruan, Yong Zhang, Kun Zhang, Yanbo Fan, Fan Tang, Qi Liu, Enhong Chen |
| 2021 | ICDM | Learning Transferable User Representations with Sequential Behaviors via Contrastive Pre-training. | Mingyue Cheng, Fajie Yuan, Qi Liu, Xin Xin, Enhong Chen |
| 2021 | ICDM | STAN: Adversarial Network for Cross-domain Question Difficulty Prediction. | Ye Huang, Wei Huang, Shiwei Tong, Zhenya Huang, Qi Liu, Enhong Chen, Jianhui Ma, Liang Wan, Shijin Wang |
| 2021 | ICDM | Group-Level Cognitive Diagnosis: A Multi-Task Learning Perspective. | Jie Huang, Qi Liu, Fei Wang, Zhenya Huang, Songtao Fang, Runze Wu, Enhong Chen, Yu Su, Shijin Wang |
| 2021 | ICDM | Technological Knowledge Flow Forecasting through A Hierarchical Interactive Graph Neural Network. | Huijie Liu, Han Wu, Le Zhang, Runlong Yu, Ye Liu, Chunli Liu, Qi Liu, Enhong Chen |
| 2021 | IJCAI | Regularizing Variational Autoencoder with Diversity and Uncertainty Awareness. | Dazhong Shen, Chuan Qin, Chao Wang, Hengshu Zhu, Enhong Chen, Hui Xiong |
| 2021 | IJCAI | Preference-Adaptive Meta-Learning for Cold-Start Recommendation. | Li Wang, Binbin Jin, Zhenya Huang, Hongke Zhao, Defu Lian, Qi Liu, Enhong Chen |
| 2021 | IJCAI | GraphMI: Extracting Private Graph Data from Graph Neural Networks. | Zaixi Zhang, Qi Liu, Zhenya Huang, Hao Wang, Chengqiang Lu, Chuanren Liu, Enhong Chen |
| 2021 | IJCNN | A Trend-aware Investment Target Recommendation System with Heterogeneous Graph. | Miao Chen, Chao Wang, Chuan Qin, Tong Xu, Jianhui Ma, Enhong Chen, Hui Xiong |
| 2021 | IJCNN | Ontological Concept Structure Aware Knowledge Transfer for Inductive Knowledge Graph Embedding. | Chao Ren, Le Zhang, Lintao Fang, Tong Xu, Zhefeng Wang, Senchao Yuan, Enhong Chen |
| 2021 | KDD | LawyerPAN: A Proficiency Assessment Network for Trial Lawyers. | Yanqing An, Qi Liu, Han Wu, Kai Zhang, Linan Yue, Mingyue Cheng, Hongke Zhao, Enhong Chen |
| 2021 | KDD | DisenQNet: Disentangled Representation Learning for Educational Questions. | Zhenya Huang, Xin Lin, Hao Wang, Qi Liu, Enhong Chen, Jianhui Ma, Yu Su, Wei Tong |
| 2021 | KDD | Online Additive Quantization. | Qi Liu, Jin Zhang, Defu Lian, Yong Ge, Jianhui Ma, Enhong Chen |
| 2021 | KDD | Learning Process-consistent Knowledge Tracing. | Shuanghong Shen, Qi Liu, Enhong Chen, Zhenya Huang, Wei Huang, Yu Yin, Yu Su, Shijin Wang |
| 2021 | KDD | Triple Adversarial Learning for Influence based Poisoning Attack in Recommender Systems. | Chenwang Wu, Defu Lian, Yong Ge, Zhihao Zhu, Enhong Chen |
| 2021 | KDD | Attentive Heterogeneous Graph Embedding for Job Mobility Prediction. | Le Zhang, Ding Zhou, Hengshu Zhu, Tong Xu, Rui Zha, Enhong Chen, Hui Xiong |
| 2021 | KDD | Modeling Context-aware Features for Cognitive Diagnosis in Student Learning. | Yuqiang Zhou, Qi Liu, Jinze Wu, Fei Wang, Zhenya Huang, Wei Tong, Hui Xiong, Enhong Chen, Jianhui Ma |
| 2021 | MDM | Urban Crowd Density Prediction Based on Multi-relational Graph. | Qiming Hao, Le Zhang, Rui Zha, Ding Zhou, Zhe Zhang, Tong Xu, Enhong Chen |
| 2021 | PAKDD | XCrossNet: Feature Structure-Oriented Learning for Click-Through Rate Prediction. | Runlong Yu, Yuyang Ye, Qi Liu, Zihan Wang, Chunfeng Yang, Yucheng Hu, Enhong Chen |
| 2021 | WWW | Hierarchical Personalized Federated Learning for User Modeling. | Jinze Wu, Qi Liu, Zhenya Huang, Yuting Ning, Hao Wang, Enhong Chen, Jinfeng Yi, Bowen Zhou |
| 2021 | WWW | Drug Package Recommendation via Interaction-aware Graph Induction. | Zhi Zheng, Chao Wang, Tong Xu, Dazhong Shen, Penggang Qin, Baoxing Huai, Tongzhu Liu, Enhong Chen |
| 2021 | SIGIR | Learning Recommender Systems with Implicit Feedback via Soft Target Enhancement. | Mingyue Cheng, Fajie Yuan, Qi Liu, Shenyang Ge, Zhi Li, Runlong Yu, Defu Lian, Senchao Yuan, Enhong Chen |
| 2021 | SIGIR | xLightFM: Extremely Memory-Efficient Factorization Machine. | Gangwei Jiang, Hao Wang, Jin Chen, Haoyu Wang, Defu Lian, Enhong Chen |
| 2021 | SIGIR | Enhanced Representation Learning for Examination Papers with Hierarchical Document Structure. | Yixiao Ma, Shiwei Tong, Ye Liu, Likang Wu, Qi Liu, Enhong Chen, Wei Tong, Zi Yan |
| 2021 | SIGIR | Fight Fire with Fire: Towards Robust Recommender Systems via Adversarial Poisoning Training. | Chenwang Wu, Defu Lian, Yong Ge, Zhihao Zhu, Enhong Chen, Senchao Yuan |
| 2021 | WSDM | Federated Deep Knowledge Tracing. | Jinze Wu, Zhenya Huang, Qi Liu, Defu Lian, Hao Wang, Enhong Chen, Haiping Ma, Shijin Wang |
| 2021 | WSDM | Multi-Interactive Attention Network for Fine-grained Feature Learning in CTR Prediction. | Kai Zhang, Hao Qian, Qing Cui, Qi Liu, Longfei Li, Jun Zhou, Jianhui Ma, Enhong Chen |
| 2020 | AAAI | Fine-Tuning by Curriculum Learning for Non-Autoregressive Neural Machine Translation. | Junliang Guo, Xu Tan, Linli Xu, Tao Qin, Enhong Chen, Tie-Yan Liu |
| 2020 | AAAI | A Variational Point Process Model for Social Event Sequences. | Zhen Pan, Zhenya Huang, Defu Lian, Enhong Chen |
| 2020 | AAAI | Neural Cognitive Diagnosis for Intelligent Education Systems. | Fei Wang, Qi Liu, Enhong Chen, Zhenya Huang, Yuying Chen, Yu Yin, Zai Huang, Shijin Wang |
| 2020 | AAAI | Graph Convolutional Networks with Markov Random Field Reasoning for Social Spammer Detection. | Yongji Wu, Defu Lian, Yiheng Xu, Le Wu, Enhong Chen |
| 2020 | AAAI | Estimating Early Fundraising Performance of Innovations via Graph-Based Market Environment Model. | Likang Wu, Zhi Li, Hongke Zhao, Zhen Pan, Qi Liu, Enhong Chen |
| 2020 | ACL | Jointly Masked Sequence-to-Sequence Model for Non-Autoregressive Neural Machine Translation. | Junliang Guo, Linli Xu, Enhong Chen |
| 2020 | APWEB | Predicting Human Mobility with Self-attention and Feature Interaction. | Jingang Jiang, Shuo Tao, Defu Lian, Zhenya Huang, Enhong Chen |
| 2020 | APWEB | Author Contributed Representation for Scholarly Network. | Binglei Wang, Tong Xu, Hao Wang, Yanmin Chen, Le Zhang, Lintao Fang, Guiquan Liu, Enhong Chen |
| 2020 | ICDM | Quality meets Diversity: A Model-Agnostic Framework for Computerized Adaptive Testing. | Haoyang Bi, Haiping Ma, Zhenya Huang, Yu Yin, Qi Liu, Enhong Chen, Yu Su, Shijin Wang |
| 2020 | ICDM | STGCN: A Spatial-Temporal Aware Graph Learning Method for POI Recommendation. | Haoyu Han, Mengdi Zhang, Min Hou, Fuzheng Zhang, Zhongyuan Wang, Enhong Chen, Hongwei Wang, Jianhui Ma, Qi Liu |
| 2020 | ICDM | Technical Phrase Extraction for Patent Mining: A Multi-level Approach. | Ye Liu, Han Wu, Zhenya Huang, Hao Wang, Jianhui Ma, Qi Liu, Enhong Chen, Hanqing Tao, Ke Rui |
| 2020 | ICDM | Structure-based Knowledge Tracing: An Influence Propagation View. | Shiwei Tong, Qi Liu, Wei Huang, Zhenya Huang, Enhong Chen, Chuanren Liu, Haiping Ma, Shijin Wang |
| 2020 | ICDM | Exploiting Knowledge Hierarchy for Finding Similar Exercises in Online Education Systems. | Wei Tong, Shiwei Tong, Wei Huang, Liyang He, Jianhui Ma, Qi Liu, Enhong Chen |
| 2020 | IJCAI | Towards Explainable Conversational Recommendation. | Zhongxia Chen, Xiting Wang, Xing Xie, Mehul Parsana, Akshay Soni, Xiang Ao, Enhong Chen |
| 2020 | KDD | Enterprise Cooperation and Competition Analysis with a Sign-Oriented Preference Network. | Le Dai, Yu Yin, Chuan Qin, Tong Xu, Xiangnan He, Enhong Chen, Hui Xiong |
| 2020 | KDD | ASGN: An Active Semi-supervised Graph Neural Network for Molecular Property Prediction. | Zhongkai Hao, Chengqiang Lu, Zhenya Huang, Hao Wang, Zheyuan Hu, Qi Liu, Enhong Chen, Cheekong Lee |
| 2020 | KDD | Geography-Aware Sequential Location Recommendation. | Defu Lian, Yongji Wu, Yong Ge, Xing Xie, Enhong Chen |
| 2020 | KSEM | MMEA: Entity Alignment for Multi-modal Knowledge Graph. | Liyi Chen, Zhi Li, Yijun Wang, Tong Xu, Zhefeng Wang, Enhong Chen |
| 2020 | WWW | Personalized Ranking with Importance Sampling. | Defu Lian, Qi Liu, Enhong Chen |
| 2020 | WWW | LightRec: A Memory and Search-Efficient Recommender System. | Defu Lian, Haoyu Wang, Zheng Liu, Jianxun Lian, Enhong Chen, Xing Xie |
| 2020 | WWW | Personalized Employee Training Course Recommendation with Career Development Awareness. | Chao Wang, Hengshu Zhu, Chen Zhu, Xi Zhang, Enhong Chen, Hui Xiong |
| 2020 | WWW | Large-Scale Talent Flow Embedding for Company Competitive Analysis. | Le Zhang, Tong Xu, Hengshu Zhu, Chuan Qin, Qingxin Meng, Hui Xiong, Enhong Chen |
| 2020 | SIGIR | Neural Mathematical Solver with Enhanced Formula Structure. | Zhenya Huang, Qi Liu, Weibo Gao, Jinze Wu, Yu Yin, Hao Wang, Enhong Chen |
| 2020 | SIGIR | Convolutional Knowledge Tracing: Modeling Individualization in Student Learning Process. | Shuanghong Shen, Qi Liu, Enhong Chen, Han Wu, Zhenya Huang, Weihao Zhao, Yu Su, Haiping Ma, Shijin Wang |
| 2019 | AAAI | Estimating the Days to Success of Campaigns in Crowdfunding: A Deep Survival Perspective. | Binbin Jin, Hongke Zhao, Enhong Chen, Qi Liu, Yong Ge |
| 2019 | AAAI | DRr-Net: Dynamic Re-Read Network for Sentence Semantic Matching. | Kun Zhang, Guangyi Lv, Linyuan Wang, Le Wu, Enhong Chen, Fangzhao Wu, Xing Xie |
| 2019 | AAAI | Interactive Attention Transfer Network for Cross-Domain Sentiment Classification. | Kai Zhang, Hefu Zhang, Qi Liu, Hongke Zhao, Hengshu Zhu, Enhong Chen |
| 2019 | ACL | Budgeted Policy Learning for Task-Oriented Dialogue Systems. | Zhirui Zhang, Xiujun Li, Jianfeng Gao, Enhong Chen |
| 2019 | CIKM | Tracking Top-k Influential Users with Relative Errors. | Yu Yang, Zhefeng Wang, Tianyuan Jin, Jian Pei, Enhong Chen |
| 2019 | CIKM | DIRT: Deep Learning Enhanced Item Response Theory for Cognitive Diagnosis. | Song Cheng, Qi Liu, Enhong Chen, Zai Huang, Zhenya Huang, Yiying Chen, Haiping Ma, Guoping Hu |
| 2019 | CIKM | Hierarchical Multi-label Text Classification: An Attention-based Recurrent Network Approach. | Wei Huang, Enhong Chen, Qi Liu, Yuying Chen, Zai Huang, Yang Liu, Zhou Zhao, Dan Zhang, Shijin Wang |
| 2019 | CIKM | Exploring Multi-Objective Exercise Recommendations in Online Education Systems. | Zhenya Huang, Qi Liu, Chengxiang Zhai, Yu Yin, Enhong Chen, Weibo Gao, Guoping Hu |
| 2019 | DASFAA | Sentiment Classification by Leveraging the Shared Knowledge from a Sequence of Domains. | Guangyi Lv, Shuai Wang, Bing Liu, Enhong Chen, Kun Zhang |
| 2019 | ICDM | Alpha-Beta Sampling for Pairwise Ranking in One-Class Collaborative Filtering. | Mingyue Cheng, Runlong Yu, Qi Liu, Vincent W. Zheng, Hongke Zhao, Hefu Zhang, Enhong Chen |
| 2019 | ICDM | Constructing Educational Concept Maps with Multiple Relationships from Multi-Source Data. | Xiaoqing Huang, Qi Liu, Chao Wang, Haoyu Han, Jianhui Ma, Enhong Chen, Yu Su, Shijin Wang |
| 2019 | ICDM | Deep Technology Tracing for High-Tech Companies. | Han Wu, Kun Zhang, Guangyi Lv, Qi Liu, Runlong Yu, Weihao Zhao, Enhong Chen, Jianhui Ma |
| 2019 | ICDM | Aftershock Detection with Multi-scale Description Based Neural Network. | Qi Zhang, Tong Xu, Hengshu Zhu, Lifu Zhang, Hui Xiong, Enhong Chen, Qi Liu |
| 2019 | ICLR | Universal Stagewise Learning for Non-Convex Problems with Convergence on Averaged Solutions. | Zaiyi Chen, Zhuoning Yuan, Jinfeng Yi, Bowen Zhou, Enhong Chen, Tianbao Yang |
| 2019 | IJCAI | Co-Attentive Multi-Task Learning for Explainable Recommendation. | Zhongxia Chen, Xiting Wang, Xing Xie, Tong Wu, Guoqing Bu, Yining Wang, Enhong Chen |
| 2019 | IJCAI | Explainable Fashion Recommendation: A Semantic Attribute Region Guided Approach. | Min Hou, Le Wu, Enhong Chen, Zhi Li, Vincent W. Zheng, Qi Liu |
| 2019 | IJCAI | Graph Convolutional Networks on User Mobility Heterogeneous Graphs for Social Relationship Inference. | Yongji Wu, Defu Lian, Shuowei Jin, Enhong Chen |
| 2019 | IJCAI | Trend-Aware Tensor Factorization for Job Skill Demand Analysis. | Xunxian Wu, Tong Xu, Hengshu Zhu, Le Zhang, Enhong Chen, Hui Xiong |
| 2019 | KDD | Exploiting Cognitive Structure for Adaptive Learning. | Qi Liu, Shiwei Tong, Chuanren Liu, Hongke Zhao, Enhong Chen, Haiping Ma, Shijin Wang |
| 2019 | KDD | MCNE: An End-to-End Framework for Learning Multiple Conditional Network Representations of Social Network. | Hao Wang, Tong Xu, Qi Liu, Defu Lian, Enhong Chen, Dongfang Du, Han Wu, Wen Su |
| 2019 | KDD | QuesNet: A Unified Representation for Heterogeneous Test Questions. | Yu Yin, Qi Liu, Zhenya Huang, Enhong Chen, Wei Tong, Shijin Wang, Yu Su |
| 2019 | PAKDD | Gossiping the Videos: An Embedding-Based Generative Adversarial Framework for Time-Sync Comments Generation. | Guangyi Lv, Tong Xu, Qi Liu, Enhong Chen, Weidong He, Mingxiao An, Zhongming Chen |
| 2019 | PAKDD | Context-Aware Dual-Attention Network for Natural Language Inference. | Kun Zhang, Guangyi Lv, Enhong Chen, Le Wu, Qi Liu, C. L. Philip Chen |
| 2019 | WWW | Large-Scale Talent Flow Forecast with Dynamic Latent Factor Model? | Le Zhang, Hengshu Zhu, Tong Xu, Chen Zhu, Chuan Qin, Hui Xiong, Enhong Chen |
| 2018 | AAAI | Exercise-Enhanced Sequential Modeling for Student Performance Prediction. | Yu Su, Qingwen Liu, Qi Liu, Zhenya Huang, Yu Yin, Enhong Chen, Chris H. Q. Ding, Si Wei, Guoping Hu |
| 2018 | AAAI | Confidence-Aware Matrix Factorization for Recommender Systems. | Chao Wang, Qi Liu, Runze Wu, Enhong Chen, Chuanren Liu, Xunpeng Huang, Zhenya Huang |
| 2018 | AAAI | Joint Training for Neural Machine Translation Models with Monolingual Data. | Zhirui Zhang, Shujie Liu, Mu Li, Ming Zhou, Enhong Chen |
| 2018 | CIKM | Multiple Pairwise Ranking with Implicit Feedback. | Runlong Yu, Yunzhou Zhang, Yuyang Ye, Le Wu, Chao Wang, Qi Liu, Enhong Chen |
| 2018 | CoNLL | Bidirectional Generative Adversarial Networks for Neural Machine Translation. | Zhirui Zhang, Shujie Liu, Mu Li, Ming Zhou, Enhong Chen |
| 2018 | DASFAA | Enhancing Network Embedding with Auxiliary Information: An Explicit Matrix Factorization Perspective. | Junliang Guo, Linli Xu, Xunpeng Huang, Enhong Chen |
| 2018 | DASFAA | Patent Quality Valuation with Deep Learning Models. | Hongjie Lin, Hao Wang, Dongfang Du, Han Wu, Biao Chang, Enhong Chen |
| 2018 | DASFAA | MT-MCD: A Multi-task Cognitive Diagnosis Framework for Student Assessment. | Tianyu Zhu, Qi Liu, Zhenya Huang, Enhong Chen, Defu Lian, Yu Su, Guoping Hu |
| 2018 | ICDE | Mining Density Contrast Subgraphs. | Yu Yang, Lingyang Chu, Yanyan Zhang, Zhefeng Wang, Jian Pei, Enhong Chen |
| 2018 | ICDM | Tracking and Forecasting Dynamics in Crowdfunding: A Basis-Synthesis Approach. | Xiaoying Ren, Linli Xu, Tianxiang Zhao, Chen Zhu, Junliang Guo, Enhong Chen |
| 2018 | ICDM | A United Approach to Learning Sparse Attributed Network Embedding. | Hao Wang, Enhong Chen, Qi Liu, Tong Xu, Dongfang Du, Wen Su, Xiaopeng Zhang |
| 2018 | ICDM | Exploiting Topic-Based Adversarial Neural Network for Cross-Domain Keyphrase Extraction. | Yanan Wang, Qi Liu, Chuan Qin, Tong Xu, Yijun Wang, Enhong Chen, Hui Xiong |
| 2018 | ICDM | Image-Enhanced Multi-level Sentence Representation Net for Natural Language Inference. | Kun Zhang, Guangyi Lv, Le Wu, Enhong Chen, Qi Liu, Han Wu, Fangzhao Wu |
| 2018 | ICDM | Zero-Shot Learning: An Energy Based Approach. | Tianxiang Zhao, Guiquan Liu, Le Wu, Chao Ma, Enhong Chen |
| 2018 | ICML | SADAGRAD: Strongly Adaptive Stochastic Gradient Methods. | Zaiyi Chen, Yi Xu, Enhong Chen, Tianbao Yang |
| 2018 | IJCAI | Predicting the Spatio-Temporal Evolution of Chronic Diseases in Population with Human Mobility Data. | Yingzi Wang, Xiao Zhou, Anastasios Noulas, Cecilia Mascolo, Xing Xie, Enhong Chen |
| 2018 | KDD | Finding Similar Exercises in Online Education Systems. | Qi Liu, Zai Huang, Zhenya Huang, Chuanren Liu, Enhong Chen, Yu Su, Guoping Hu |
| 2018 | KDD | Learning from History and Present: Next-item Recommendation via Discriminatively Exploiting User Behaviors. | Zhi Li, Hongke Zhao, Qi Liu, Zhenya Huang, Tao Mei, Enhong Chen |
| 2018 | KDD | Transcribing Content from Structural Images with Spotlight Mechanism. | Yu Yin, Zhenya Huang, Enhong Chen, Qi Liu, Fuzheng Zhang, Xing Xie, Guoping Hu |
| 2018 | KDD | XiaoIce Band: A Melody and Arrangement Generation Framework for Pop Music. | Hongyuan Zhu, Qi Liu, Nicholas Jing Yuan, Chuan Qin, Jiawei Li, Kun Zhang, Guang Zhou, Furu Wei, Yuanchun Xu, Enhong Chen |
| 2018 | KSEM | Understand and Assess People's Procrastination by Mining Computer Usage Log. | Ming He, Yan Chen, Qi Liu, Yong Ge, Enhong Chen, Guiquan Liu, Lichao Liu, Xin Li |
| 2018 | NSDI | Multi-Path Transport for RDMA in Datacenters. | Yuanwei Lu, Guo Chen, Bojie Li, Kun Tan, Yongqiang Xiong, Peng Cheng, Jiansong Zhang, Enhong Chen, Thomas Moscibroda |
| 2018 | SMC | Facial Expression Recognition via Broad Learning System. | Tong Zhang, Zhulin Liu, Xuehan Wang, Xiao-Fen Xing, C. L. Philip Chen, Enhong Chen |
| 2018 | SIGIR | Enhancing Person-Job Fit for Talent Recruitment: An Ability-aware Neural Network Approach. | Chuan Qin, Hengshu Zhu, Tong Xu, Chen Zhu, Liang Jiang, Enhong Chen, Hui Xiong |
| 2018 | SDM | Maximizing the Effect of Information Adoption: A General Framework. | Tianyuan Jin, Tong Xu, Hui Zhong, Enhong Chen, Zhefeng Wang, Qi Liu |
| 2017 | AAAI | Question Difficulty Prediction for READING Problems in Standard Tests. | Zhenya Huang, Qi Liu, Enhong Chen, Hongke Zhao, Mingyong Gao, Si Wei, Yu Su, Guoping Hu |
| 2017 | AAAI | A Context-Enriched Neural Network Method for Recognizing Lexical Entailment. | Kun Zhang, Enhong Chen, Qi Liu, Chuanren Liu, Guangyi Lv |
| 2017 | APWEB | Incorporating User Preferences Across Multiple Topics into Collaborative Filtering for Personalized Merchant Recommendation. | Yunfeng Chen, Lei Zhang, Xin Li, Yu Zong, Guiquan Liu, Enhong Chen |
| 2017 | CIKM | Tracking Knowledge Proficiency of Students with Educational Priors. | Yuying Chen, Qi Liu, Zhenya Huang, Le Wu, Enhong Chen, Runze Wu, Yu Su, Guoping Hu |
| 2017 | CIKM | An Ad CTR Prediction Method Based on Feature Learning of Deep and Shallow Layers. | Zai Huang, Zhen Pan, Qi Liu, Bai Long, Haiping Ma, Enhong Chen |
| 2017 | DASFAA | Social User Profiling: A Social-Aware Topic Modeling Perspective. | Chao Ma, Chen Zhu, Yanjie Fu, Hengshu Zhu, Guiquan Liu, Enhong Chen |