Reachability preserving compression for dynamic graph. - Yuzhi Liang; Chen Chen; Yukun Wang; Kai Lei; Min Yang 007; Ziyu Lyu (Inf. Sci., 2020)

Hierarchical fusion of common sense knowledge and classifier decisions for answer selection in community question answering. - Min Yang 007; Lei Chen 072; Ziyu Lyu; Junhao Liu 001; Ying Shen 001; Qingyao Wu (Neural Networks, 2020)

Multi-view group representation learning for location-aware group recommendation. - Ziyu Lyu; Min Yang 007; Hui Li 057 (Inf. Sci., 2021)

Visual Knowledge Graph for Human Action Reasoning in Videos. - Yue Ma; Yali Wang 001; Yue Wu 013; Ziyu Lyu; Siran Chen; Xiu Li 001; Yu Qiao 001 (ACM Multimedia, 2022)

Multi-Task Learning for Recommendation Over Heterogeneous Information Network. - Hui Li 057; Yanlin Wang 001; Ziyu Lyu; Jieming Shi 001 (IEEE Trans. Knowl. Data Eng., 2022)

Multi-task Learning for Recommendation over Heterogeneous Information Network (Extended abstract). - Hui Li 057; Yanlin Wang 001; Ziyu Lyu; Jieming Shi 001 (ICDE, 2023)

You Augment Me: Exploring ChatGPT-based Data Augmentation for Semantic Code Search. - Yanlin Wang 001; Lianghong Guo; Ensheng Shi; Wenqing Chen; Jiachi Chen; Wanjun Zhong; Menghan Wang; Hui Li 057; Hongyu Zhang 002; Ziyu Lyu; Zibin Zheng (ICSME, 2023)

TFDNet: Time-Frequency Enhanced Decomposed Network for Long-term Time Series Forecasting. - Yuxiao Luo 001; Ziyu Lyu; Xingyu Huang (CoRR, 2023)

Revisiting Knowledge Distillation under Distribution Shift. - Songming Zhang 002; Ziyu Lyu; Xiaofeng Chen 009 (CoRR, 2023)

Defect engineering of fatigue-resistant steels by data-driven models. - Chao Gu; Yanping Bao; Sayoojya Prasad; Ziyu Lyu; Junhe Lian (Eng. Appl. Artif. Intell., 2023)

Hierarchical conversation flow transition and reasoning for conversational machine comprehension. - Xiao Liu; Min Yang 007; Ziyu Lyu; Dongding Lin; Piji Li; Ruifeng Xu 001 (Neural Comput. Appl., 2023)

Information Retrieval meets Large Language Models: A strategic report from Chinese IR community. - Qingyao Ai; Ting Bai; Zhao Cao; Yi Chang 001; Jiawei Chen 007; Zhumin Chen; Zhiyong Cheng 001; Shoubin Dong; Zhicheng Dou; Fuli Feng; Shen Gao; Jiafeng Guo; et al. (AI Open, 2023)

Knowledge Enhanced Graph Neural Networks for Explainable Recommendation. - Ziyu Lyu; Yue Wu 013; Junjie Lai; Min Yang 007; Chengming Li; Wei Zhou 028 (IEEE Trans. Knowl. Data Eng., 2023)

Knowledge Probing for Graph Representation Learning. - Mingyu Zhao; Xingyu Huang; Ziyu Lyu; Yanlin Wang 001; Lixin Cui; Lu Bai 001 (CoRR, 2024)

ANID: How Far Are We? Evaluating the Discrepancies Between AI-synthesized Images and Natural Images through Multimodal Guidance. - Renyang Liu; Ziyu Lyu; Wei Zhou; See-Kiong Ng (CoRR, 2024)

DHAKR: Learning Deep Hierarchical Attention-Based Kernelized Representations for Graph Classification. - Feifei Qian; Lu Bai 001; Lixin Cui; Ming Li 065; Ziyu Lyu; Hangyuan Du; Edwin R. Hancock (AAAI, 2025)

FairWork: A Generic Framework For Evaluating Fairness In LLM-Based Job Recommender System. - Yuhan Hu; Ziyu Lyu; Lu Bai 001; Lixin Cui (SIGIR, 2025)

EGRec: Leveraging Generative Rich Intents for Enhanced Recommendation with Large Language Models. - Zhaorui Lian; Binzong Geng; Xiyu Chang; Yu Zhang; Ke Ding; Ziyu Lyu; Guanghu Yuan; Chengming Li; Min Yang 007; Zhaoxin Huan; Bin Shen; Yong He 009; et al. (WWW (Companion Volume), 2025)

ShiftKD: Benchmarking knowledge distillation under distribution shift. - Songming Zhang 002; Yuxiao Luo 001; Ziyu Lyu; Xiaofeng Chen 009 (Neural Networks, 2025)

TFDNet: Time-Frequency enhanced Decomposed Network for long-term time series forecasting. - Yuxiao Luo 001; Songming Zhang 002; Ziyu Lyu; Yuhan Hu (Pattern Recognit., 2025)

MidPO: Dual Preference Optimization for Safety and Helpfulness in Large Language Models via a Mixture of Experts Framework. - Yupeng Qi; Ziyu Lyu; Min Yang 002; Yanlin Wang 001; Lu Bai 001; Lixin Cui (CoRR, 2025)