Han Wu

38 papers A* 13B 1Journal 19Unranked 5
YearRankTypeTitle / Venue / Authors
2026 J jnl
From Atom to Community: Structured and Evolving Agent Memory for User Behavior Modeling.
CoRR
Yuxin Liao, Le Wu, Min Hou, Yu Wang, Han Wu, Meng Wang
2026 A* conf
VC-Soup: Value-Consistency Guided Multi-Value Alignment for Large Language Models.
WWW
Hefei Xu, Le Wu, Yu Wang, Min Hou, Han Wu, Zhen Zhang, Meng Wang
2025 J jnl
A Survey on Generative Recommendation: Data, Model, and Tasks.
CoRR
Min Hou, Le Wu, Yuxin Liao, Yonghui Yang, Zhen Zhang, Changlong Zheng, Han Wu, Richang Hong
2025 J jnl
Application-Driven Value Alignment in Agentic AI Systems: Survey and Perspectives.
CoRR
Wei Zeng, Hengshu Zhu, Chuan Qin, Han Wu, Yihang Cheng, Sirui Zhang, Xiaowei Jin, Yinuo Shen, Zhenxing Wang, Feimin Zhong, Hui Xiong
2025 J jnl
Enhancing job recommendations with LLM-based resume completion: A behavior-denoised alignment approach.
Inf. Process. Manag.
Chen Zhu, Xiao Hu, Han Wu, Chuan Qin, Hengshu Zhu, Hui Xiong
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 — conf
Improving Multi-attribute Fairness in LLM-Based Recommenders Through a Mixture-of-Experts Contrastive Learning Method.
DASFAA (6)
Jing Fan, Chen Zhu, Han Wu, Fuzhen Zhuang, Deqing Wang, Hengshu Zhu
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 — conf
SciHorizon: Benchmarking AI-for-Science Readiness from Scientific Data to Large Language Models.
KDD (2)
Chuan Qin, Xin Chen, Chengrui Wang, Pengmin Wu, Xi Chen, Yihang Cheng, Jingyi Zhao, Meng Xiao, Xiangchao Dong, Qingqing Long, Boya Pan, Han Wu, Chengzan Li, Yuanchun Zhou, Hui Xiong, Hengshu Zhu
2025 J jnl
SciHorizon: Benchmarking AI-for-Science Readiness from Scientific Data to Large Language Models.
CoRR
Chuan Qin, Xin Chen, Chengrui Wang, Pengmin Wu, Xi Chen, Yihang Cheng, Jingyi Zhao, Meng Xiao, Xiangchao Dong, Qingqing Long, Boya Pan, Han Wu, Chengzan Li, Yuanchun Zhou, Hui Xiong, Hengshu Zhu
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 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
Hierarchical Multi-Modal Attention Network for Time-Sync Comment Video Recommendation.
IEEE Trans. Circuits Syst. Video Technol.
Weihao Zhao, Han Wu, Weidong He, Haoyang Bi, Hao Wang, Chen Zhu, Tong Xu, Enhong Chen
2024 — conf
MRT: Multi-modal Short- and Long-range Temporal Convolutional Network for Time-sync Comment Video Behavior Prediction.
LREC/COLING
Weihao Zhao, Weidong He, Hao Wang, Haoyang Bi, Han Wu, Chen Zhu, Tong Xu, Enhong Chen
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
2023 A* conf
BETA-CD: A Bayesian Meta-Learned Cognitive Diagnosis Framework for Personalized Learning.
AAAI
Haoyang Bi, Enhong Chen, Weidong He, Han Wu, Weihao Zhao, Shijin Wang, Jinze Wu
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
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 A* conf
Multi-modal Siamese Network for Entity Alignment.
KDD
Liyi Chen, Zhi Li, Tong Xu, Han Wu, Zhefeng Wang, Nicholas Jing Yuan, 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 — 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
Video emotion analysis enhanced by recognizing emotion in video comments.
Int. J. Data Sci. Anal.
Wei Cao, Kun Zhang, Han Wu, Tong Xu, Enhong Chen, Guangyi Lv, Ming He
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 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 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 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 J jnl
Patent2Vec: Multi-view representation learning on patent-graphs for patent classification.
World Wide Web
Lintao Fang, Le Zhang, Han Wu, Tong Xu, Ding Zhou, Enhong Chen
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
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 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 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
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
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
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 A* conf
Patent Litigation Prediction: A Convolutional Tensor Factorization Approach.
IJCAI
Qi Liu, Han Wu, Yuyang Ye, Hongke Zhao, Chuanren Liu, Dongfang Du
2018 — conf
Patent Quality Valuation with Deep Learning Models.
DASFAA (2)
Hongjie Lin, Hao Wang, Dongfang Du, Han Wu, Biao Chang, Enhong Chen