Modeling Users' Exposure with Social Knowledge Influence and Consumption Influence for Recommendation. - Jiawei Chen 007; Yan Feng; Martin Ester; Sheng Zhou 004; Chun Chen 001; Can Wang 001 (CIKM, 2018)

Social Recommendation with Missing Not at Random Data. - Jiawei Chen 007; Can Wang 001; Martin Ester; Qihao Shi; Yan Feng; Chun Chen 001 (ICDM, 2018)

Adaptive Influence Blocking: Minimizing the Negative Spread by Observation-Based Policies. - Qihao Shi; Can Wang 001; Deshi Ye; Jiawei Chen 007; Yan Feng; Chun Chen 001 (ICDE, 2019)

SamWalker: Social Recommendation with Informative Sampling Strategy. - Jiawei Chen 007; Can Wang 001; Sheng Zhou 004; Qihao Shi; Yan Feng; Chun Chen 001 (WWW, 2019)

HAHE: Hierarchical Attentive Heterogeneous Information Network Embedding. - Sheng Zhou 004; Jiajun Bu; Xin Wang 019; Jiawei Chen 007; Bingbing Hu; Defang Chen 001; Can Wang 001 (CoRR, 2019)

Social recommendation based on users' attention and preference. - Jiawei Chen 007; Can Wang 001; Qihao Shi; Yan Feng; Chun Chen 001 (Neurocomputing, 2019)

Post and repost: A holistic view of budgeted influence maximization. - Qihao Shi; Can Wang 001; Jiawei Chen 007; Yan Feng; Chun Chen 001 (Neurocomputing, 2019)

Location driven influence maximization: Online spread via offline deployment. - Qihao Shi; Can Wang 001; Jiawei Chen 007; Yan Feng; Chun Chen 001 (Knowl. Based Syst., 2019)

Fast Adaptively Weighted Matrix Factorization for Recommendation with Implicit Feedback. - Jiawei Chen 007; Can Wang 001; Sheng Zhou 004; Qihao Shi; Jingbang Chen; Yan Feng; Chun Chen 001 (AAAI, 2020)

DGE: Deep Generative Network Embedding Based on Commonality and Individuality. - Sheng Zhou 004; Xin Wang 019; Jiajun Bu; Martin Ester; Pinggang Yu; Jiawei Chen 007; Qihao Shi; Can Wang 001 (AAAI, 2020)

Sparse Causal Residual Neural Network for Linear and Nonlinear Concurrent Causal Inference and Root Cause Diagnosis. - Jiawei Chen 007; Chunhui Zhao 001; Youxian Sun (ICARCV, 2020)

Model-Agnostic Counterfactual Reasoning for Eliminating Popularity Bias in Recommender System. - Tianxin Wei; Fuli Feng; Jiawei Chen 007; Chufeng Shi; Ziwei Wu; Jinfeng Yi; Xiangnan He 001 (CoRR, 2020)

DisenKGAT: Knowledge Graph Embedding with Disentangled Graph Attention Network. - Junkang Wu; Wentao Shi 002; Xuezhi Cao; Jiawei Chen 007; Wenqiang Lei; Fuzheng Zhang; Wei Wu 014; Xiangnan He 001 (CIKM, 2021)

CausCF: Causal Collaborative Filtering for Recommendation Effect Estimation. - Xu Xie; Zhaoyang Liu 003; Shiwen Wu; Fei Sun 001; Cihang Liu; Jiawei Chen 007; Jinyang Gao; Bin Cui 001; Bolin Ding (CIKM, 2021)

Distilling Holistic Knowledge with Graph Neural Networks. - Sheng Zhou 004; Yucheng Wang; Defang Chen 001; Jiawei Chen 007; Xin Wang 019; Can Wang 001; Jiajun Bu (ICCV, 2021)

Model-Agnostic Counterfactual Reasoning for Eliminating Popularity Bias in Recommender System. - Tianxin Wei; Fuli Feng; Jiawei Chen 007; Ziwei Wu; Jinfeng Yi; Xiangnan He 001 (KDD, 2021)

Bias Issues and Solutions in Recommender System: Tutorial on the RecSys 2021. - Jiawei Chen 007; Xiang Wang 010; Fuli Feng; Xiangnan He 001 (RecSys, 2021)

AutoDebias: Learning to Debias for Recommendation. - Jiawei Chen 007; Hande Dong; Yang Qiu; Xiangnan He 001; Xin Xin 003; Liang Chen 001; Guli Lin; Keping Yang (SIGIR, 2021)

On the Equivalence of Decoupled Graph Convolution Network and Label Propagation. - Hande Dong; Jiawei Chen 007; Fuli Feng; Xiangnan He 001; Shuxian Bi; Zhaolin Ding; Peng Cui 001 (WWW, 2021)

CausCF: Causal Collaborative Filtering for RecommendationEffect Estimation. - Xu Xie; Zhaoyang Liu 003; Shiwen Wu; Fei Sun 001; Cihang Liu; Jiawei Chen 007; Jinyang Gao; Bin Cui 001; Bolin Ding (CoRR, 2021)

Profit maximization for competitive social advertising. - Qihao Shi; Can Wang 001; Deshi Ye; Jiawei Chen 007; Sheng Zhou 004; Yan Feng; Chun Chen 001; Yanhao Huang (Theor. Comput. Sci., 2021)

CoSam: An Efficient Collaborative Adaptive Sampler for Recommendation. - Jiawei Chen 007; Chengquan Jiang; Can Wang 001; Sheng Zhou 004; Yan Feng; Chun Chen 001; Martin Ester; Xiangnan He 001 (ACM Trans. Inf. Syst., 2021)

KuaiRec: A Fully-observed Dataset and Insights for Evaluating Recommender Systems. - Chongming Gao; Shijun Li 002; Wenqiang Lei; Jiawei Chen 007; Biao Li; Peng Jiang 002; Xiangnan He 001; Jiaxin Mao; Tat-Seng Chua (CIKM, 2022)

KuaiRand: An Unbiased Sequential Recommendation Dataset with Randomly Exposed Videos. - Chongming Gao; Shijun Li 002; Yuan Zhang 024; Jiawei Chen 007; Biao Li; Wenqiang Lei; Peng Jiang 002; Xiangnan He 001 (CIKM, 2022)

IHGNN: Interactive Hypergraph Neural Network for Personalized Product Search. - Dian Cheng; Jiawei Chen 007; Wenjun Peng; Wenqin Ye; Fuyu Lv; Tao Zhuang; Xiaoyi Zeng; Xiangnan He 001 (WWW, 2022)

On the Effectiveness of Sampled Softmax Loss for Item Recommendation. - Jiancan Wu; Xiang Wang 010; Xingyu Gao 001; Jiawei Chen 007; Hongcheng Fu; Tianyu Qiu; Xiangnan He 001 (CoRR, 2022)

Neighboring Backdoor Attacks on Graph Convolutional Network. - Liang Chen 001; Qibiao Peng; Jintang Li; Yang Liu 245; Jiawei Chen 007; Yong Li 008; Zibin Zheng (CoRR, 2022)

KuaiRec: A Fully-observed Dataset for Recommender Systems. - Chongming Gao; Shijun Li 002; Wenqiang Lei; Biao Li; Peng Jiang 002; Jiawei Chen 007; Xiangnan He 001; Jiaxin Mao; Tat-Seng Chua (CoRR, 2022)

Robust Sequence Networked Submodular Maximization. - Qihao Shi; Bingyang Fu; Can Wang 001; Jiawei Chen 007; Sheng Zhou 004; Yan Feng; Chun Chen 001 (AAAI, 2023)

Homophily-enhanced Structure Learning for Graph Clustering. - Ming Gu 014; Gaoming Yang; Sheng Zhou 004; Ning Ma; Jiawei Chen 007; Qiaoyu Tan; Meihan Liu; Jiajun Bu (CIKM, 2023)

CDR: Conservative Doubly Robust Learning for Debiased Recommendation. - Zijie Song; Jiawei Chen 007; Sheng Zhou 004; Qihao Shi; Yan Feng; Chun Chen 001; Can Wang 001 (CIKM, 2023)

Discriminative-Invariant Representation Learning for Unbiased Recommendation. - Hang Pan 006; Jiawei Chen 007; Fuli Feng; Wentao Shi 002; Junkang Wu; Xiangnan He 001 (IJCAI, 2023)

Understanding Contrastive Learning via Distributionally Robust Optimization. - Junkang Wu; Jiawei Chen 007; Jiancan Wu; Wentao Shi 002; Xiang Wang 010; Xiangnan He 001 (NeurIPS, 2023)

OpenGSL: A Comprehensive Benchmark for Graph Structure Learning. - Zhiyao Zhou; Sheng Zhou 004; Bochao Mao; Xuanyi Zhou; Jiawei Chen 007; Qiaoyu Tan; Daochen Zha; Yan Feng; Chun Chen 001; Can Wang 001 (NeurIPS, 2023)

Alleviating Matthew Effect of Offline Reinforcement Learning in Interactive Recommendation. - Chongming Gao; Kexin Huang; Jiawei Chen 007; Yuan Zhang 024; Biao Li; Peng Jiang 002; Shiqi Wang 018; Zhong Zhang 004; Xiangnan He 001 (SIGIR, 2023)

A Generic Learning Framework for Sequential Recommendation with Distribution Shifts. - Zhengyi Yang 007; Xiangnan He 001; Jizhi Zhang; Jiancan Wu; Xin Xin 003; Jiawei Chen 007; Xiang Wang 010 (SIGIR, 2023)

Unbiased Knowledge Distillation for Recommendation. - Gang Chen; Jiawei Chen 007; Fuli Feng; Sheng Zhou 004; Xiangnan He 001 (WSDM, 2023)

Adap-τ : Adaptively Modulating Embedding Magnitude for Recommendation. - Jiawei Chen 007; Junkang Wu; Jiancan Wu; Xuezhi Cao; Sheng Zhou 004; Xiangnan He 001 (WWW, 2023)

On the Theories Behind Hard Negative Sampling for Recommendation. - Wentao Shi 002; Jiawei Chen 007; Fuli Feng; Jizhi Zhang; Junkang Wu; Chongming Gao; Xiangnan He 001 (WWW, 2023)

FFHR: Fully and Flexible Hyperbolic Representation for Knowledge Graph Completion. - Wentao Shi 002; Junkang Wu; Xuezhi Cao; Jiawei Chen 007; Wenqiang Lei; Wei Wu 014; Xiangnan He 001 (CoRR, 2023)

Adap-tau: Adaptively Modulating Embedding Magnitude for Recommendation. - Jiawei Chen 007; Junkang Wu; Jiancan Wu; Sheng Zhou 004; Xuezhi Cao; Xiangnan He 001 (CoRR, 2023)

Spatiotemporal Multiscale Correlation Embedding With Process Variable Reorder for Industrial Soft Sensing. - Jiawei Chen 007; Pengyu Song; Chunhui Zhao 001; Jinliang Ding (IEEE Trans. Instrum. Meas., 2023)

SamWalker++: Recommendation With Informative Sampling Strategy. - Can Wang 001; Jiawei Chen 007; Sheng Zhou 004; Qihao Shi; Yan Feng; Chun Chen 001 (IEEE Trans. Knowl. Data Eng., 2023)

Bias and Debias in Recommender System: A Survey and Future Directions. - Jiawei Chen 007; Hande Dong; Xiang Wang 010; Fuli Feng; Meng Wang 001; Xiangnan He 001 (ACM Trans. Inf. Syst., 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)

Time-aware Path Reasoning on Knowledge Graph for Recommendation. - Yuyue Zhao; Xiang Wang 010; Jiawei Chen 007; Yashen Wang; Wei Tang 015; Xiangnan He 001; Haiyong Xie 001 (ACM Trans. Inf. Syst., 2023)

Popularity Bias is not Always Evil: Disentangling Benign and Harmful Bias for Recommendation. - Zihao Zhao 004; Jiawei Chen 007; Sheng Zhou 004; Xiangnan He 001; Xuezhi Cao; Fuzheng Zhang; Wei Wu 014 (IEEE Trans. Knowl. Data Eng., 2023)

The Devil is in the Sources! Knowledge Enhanced Cross-Domain Recommendation in an Information Bottleneck Perspective. - Binbin Hu; Weifan Wang 005; Shuhan Wang; Ziqi Liu; Bin Shen; Yong He 009; Jiawei Chen 007 (CIKM, 2024)

Confidence-aware Self-Semantic Distillation on Knowledge Graph Embedding. - Yichen Liu 005; Jiawei Chen 007; Defang Chen 001; Zhehui Zhou; Yan Feng; Can Wang 001 (CIKM, 2024)

BSL: Understanding and Improving Softmax Loss for Recommendation. - Junkang Wu; Jiawei Chen 007; Jiancan Wu; Wentao Shi 002; Jizhi Zhang; Xiang Wang 010 (ICDE, 2024)

PSL: Rethinking and Improving Softmax Loss from Pairwise Perspective for Recommendation. - Weiqin Yang 002; Jiawei Chen 007; Xin Xin 003; Sheng Zhou 004; Binbin Hu; Yan Feng; Chun Chen 001; Can Wang 001 (NeurIPS, 2024)

Addressing Spatial-Temporal Heterogeneity: General Mixed Time Series Analysis via Latent Continuity Recovery and Alignment. - Jiawei Chen 007; Chunhui Zhao 001 (NeurIPS, 2024)

Distillation Matters: Empowering Sequential Recommenders to Match the Performance of Large Language Models. - Yu Cui; Feng Liu 047; Pengbo Wang; Bohao Wang; Heng Tang; Yi Wan; Jun Wang 020; Jiawei Chen 007 (RecSys, 2024)

ReLand: Integrating Large Language Models' Insights into Industrial Recommenders via a Controllable Reasoning Pool. - Changxin Tian; Binbin Hu; Chunjing Gan; Haoyu Chen; Zhuo Zhang; Li Yu; Ziqi Liu; Zhiqiang Zhang 012; Jun Zhou 011; Jiawei Chen 007 (RecSys, 2024)

SIGformer: Sign-aware Graph Transformer for Recommendation. - Sirui Chen; Jiawei Chen 007; Sheng Zhou 004; Bohao Wang; Shen Han; Chanfei Su; Yuqing Yuan; Can Wang 001 (SIGIR, 2024)

EasyRL4Rec: An Easy-to-use Library for Reinforcement Learning Based Recommender Systems. - Yuanqing Yu; Chongming Gao; Jiawei Chen 007; Heng Tang; Yuefeng Sun; Qian Chen; Weizhi Ma; Min Zhang 006 (SIGIR, 2024)

Distributionally Robust Graph-based Recommendation System. - Bohao Wang; Jiawei Chen 007; Changdong Li; Sheng Zhou 004; Qihao Shi; Yang Gao 001; Yan Feng; Chun Chen 001; Can Wang 001 (WWW, 2024)

Knowledge Translation: A New Pathway for Model Compression. - Wujie Sun; Defang Chen 001; Jiawei Chen 007; Yan Feng; Chun Chen 001; Can Wang 001 (CoRR, 2024)

EasyRL4Rec: A User-Friendly Code Library for Reinforcement Learning Based Recommender Systems. - Yuanqing Yu; Chongming Gao; Jiawei Chen 007; Heng Tang; Yuefeng Sun; Qian Chen; Weizhi Ma; Min Zhang 006 (CoRR, 2024)

How Do Recommendation Models Amplify Popularity Bias? An Analysis from the Spectral Perspective. - Siyi Lin; Chongming Gao; Jiawei Chen 007; Sheng Zhou 004; Binbin Hu; Can Wang 001 (CoRR, 2024)

Distillation Matters: Empowering Sequential Recommenders to Match the Performance of Large Language Model. - Yu Cui; Feng Liu 047; Pengbo Wang; Bohao Wang; Heng Tang; Yi Wan; Jun Wang 020; Jiawei Chen 007 (CoRR, 2024)

Revisiting the Message Passing in Heterophilous Graph Neural Networks. - Zhuonan Zheng; Yuanchen Bei; Sheng Zhou 004; Yao Ma 001; Ming Gu 014; Hongjia Xu; Chengyu Lai; Jiawei Chen 007; Jiajun Bu (CoRR, 2024)

Towards a Unified Framework of Clustering-based Anomaly Detection. - Zeyu Fang; Ming Gu 014; Sheng Zhou 004; Jiawei Chen 007; Qiaoyu Tan; Haishuai Wang; Jiajun Bu (CoRR, 2024)

Better Late Than Never: Formulating and Benchmarking Recommendation Editing. - Chengyu Lai; Sheng Zhou 004; Zhimeng Jiang; Qiaoyu Tan; Yuanchen Bei; Jiawei Chen 007; Ningyu Zhang 001; Jiajun Bu (CoRR, 2024)

Motif-driven Subgraph Structure Learning for Graph Classification. - Zhiyao Zhou; Sheng Zhou 004; Bochao Mao; Jiawei Chen 007; Qingyun Sun; Yan Feng; Chun Chen 001; Can Wang 001 (CoRR, 2024)

LLM4DSR: Leveraing Large Language Model for Denoising Sequential Recommendation. - Bohao Wang; Feng Liu 047; Jiawei Chen 007; Yudi Wu; Xingyu Lou; Jun Wang 020; Yan Feng; Chun Chen 001; Can Wang 001 (CoRR, 2024)

The Devil is in the Sources! Knowledge Enhanced Cross-Domain Recommendation in an Information Bottleneck Perspective. - Binbin Hu; Weifan Wang 005; Hanshu Wang; Ziqi Liu; Bin Shen; Yong He 009; Jiawei Chen 007 (CoRR, 2024)

Towards Dynamic Graph Neural Networks with Provably High-Order Expressive Power. - Zhe Wang 001; Tianjian Zhao; Zhen Zhang 023; Jiawei Chen 007; Sheng Zhou 004; Yan Feng; Chun Chen 001; Can Wang 001 (CoRR, 2024)

Universal Inceptive GNNs by Eliminating the Smoothness-generalization Dilemma. - Ming Gu 014; Zhuonan Zheng; Sheng Zhou 004; Meihan Liu; Jiawei Chen 007; Tanyu Qiao; Liangcheng Li; Jiajun Bu (CoRR, 2024)

Position-aware Graph Transformer for Recommendation. - Jiajia Chen; Jiancan Wu; Jiawei Chen 007; Chongming Gao; Yong Li 008; Xiang Wang 010 (CoRR, 2024)

Knowledge-Enhanced Causal Reinforcement Learning Model for Interactive Recommendation. - Weizhi Nie; Xin Wen; Jing Liu 002; Jiawei Chen 007; Jiancan Wu; Guoqing Jin; Jing Lu; An-An Liu (IEEE Trans. Multim., 2024)

Multi-scale self-supervised representation learning with temporal alignment for multi-rate time series modeling. - Jiawei Chen 007; Pengyu Song; Chunhui Zhao 001 (Pattern Recognit., 2024)

CIRS: Bursting Filter Bubbles by Counterfactual Interactive Recommender System. - Chongming Gao; Shiqi Wang 018; Shijun Li 002; Jiawei Chen 007; Xiangnan He 001; Wenqiang Lei; Biao Li; Yuan Zhang 024; Peng Jiang 002 (ACM Trans. Inf. Syst., 2024)

On the Effectiveness of Sampled Softmax Loss for Item Recommendation. - Jiancan Wu; Xiang Wang 010; Xingyu Gao 001; Jiawei Chen 007; Hongcheng Fu; Tianyu Qiu (ACM Trans. Inf. Syst., 2024)

How graph convolutions amplify popularity bias for recommendation? - Jiajia Chen; Jiancan Wu; Jiawei Chen 007; Xin Xin 003; Yong Li 008; Xiangnan He 001 (Frontiers Comput. Sci., 2024)

ReCRec: Reasoning the Causes of Implicit Feedback for Debiased Recommendation. - Siyi Lin; Sheng Zhou 004; Jiawei Chen 007; Yan Feng; Qihao Shi; Chun Chen 001; Ying Li; Can Wang 001 (ACM Trans. Inf. Syst., 2024)

Advancing Loss Functions in Recommender Systems: A Comparative Study with a Rényi Divergence-Based Solution. - Shengjia Zhang; Jiawei Chen 007; Changdong Li; Sheng Zhou 004; Qihao Shi; Yan Feng; Chun Chen 001; Can Wang 001 (AAAI, 2025)

Towards Robust Alignment of Language Models: Distributionally Robustifying Direct Preference Optimization. - Junkang Wu; Yuexiang Xie; Zhengyi Yang 007; Jiancan Wu; Jiawei Chen 007; Jinyang Gao; Bolin Ding; Xiang Wang 010; Xiangnan He 001 (ICLR, 2025)

MSL: Not All Tokens Are What You Need for Tuning LLM as a Recommender. - Bohao Wang; Feng Liu 047; Jiawei Chen 007; Xingyu Lou; Changwang Zhang; Jun Wang 020; Yuegang Sun; Yan Feng; Chun Chen 001; Can Wang 001 (SIGIR, 2025)

Graph Disentangle Causal Model: Enhancing Causal Inference in Networked Observational Data. - Binbin Hu; Zhicheng An; Zhengwei Wu; Ke Tu; Ziqi Liu; Zhiqiang Zhang 012; Jun Zhou 011; Yufei Feng; Jiawei Chen 007 (WSDM, 2025)

How Do Recommendation Models Amplify Popularity Bias? An Analysis from the Spectral Perspective. - Siyi Lin; Chongming Gao; Jiawei Chen 007; Sheng Zhou 004; Binbin Hu; Yan Feng; Chun Chen 001; Can Wang 001 (WSDM, 2025)

Dynamic Graph Transformer with Correlated Spatial-Temporal Positional Encoding. - Zhe Wang 001; Sheng Zhou 004; Jiawei Chen 007; Zhen Zhang 023; Binbin Hu; Yan Feng; Chun Chen 001; Can Wang 001 (WSDM, 2025)

Rankformer: A Graph Transformer for Recommendation based on Ranking Objective. - Sirui Chen; Shen Han; Jiawei Chen 007; Binbin Hu; Sheng Zhou 004; Gang Wang 055; Yan Feng; Chun Chen 001; Can Wang 001 (WWW, 2025)

Uncertainty-Aware Graph Structure Learning. - Shen Han; Zhiyao Zhou; Jiawei Chen 007; Zhezheng Hao; Sheng Zhou 004; Gang Wang 055; Yan Feng; Chun Chen 001; Can Wang 001 (WWW, 2025)

Frequency Self-Adaptation Graph Neural Network for Unsupervised Graph Anomaly Detection. - Ming Gu 014; Gaoming Yang; Zhuonan Zheng; Meihan Liu; Haishuai Wang; Jiawei Chen 007; Sheng Zhou 004; Jiajun Bu (Neural Networks, 2025)

Conditional Image Synthesis with Diffusion Models: A Survey. - Zheyuan Zhan; Defang Chen 001; Jian-Ping Mei; Zhenghe Zhao; Jiawei Chen 007; Chun Chen 001; Siwei Lyu; Can Wang 001 (Trans. Mach. Learn. Res., 2025)

Future-Conditioned Recommendations with Multi-Objective Controllable Decision Transformer. - Chongming Gao; Kexin Huang; Ziang Fei; Jiaju Chen; Jiawei Chen 007; Jianshan Sun; Shuchang Liu 006; Qingpeng Cai 001; Peng Jiang 002 (CoRR, 2025)

Recent Advances on Generalizable Diffusion-generated Image Detection. - Qijie Xu; Defang Chen 001; Jiawei Chen 007; Siwei Lyu; Can Wang 001 (CoRR, 2025)

A Comprehensive Survey on Deep Clustering: Taxonomy, Challenges, and Future Directions. - Sheng Zhou 004; Hongjia Xu; Zhuonan Zheng; Jiawei Chen 007; Zhao Li 007; Jiajun Bu; Jia Wu 001; Xin Wang 019; Wenwu Zhu 001; Martin Ester (ACM Comput. Surv., 2025)

OThink-R1: Intrinsic Fast/Slow Thinking Mode Switching for Over-Reasoning Mitigation. - Shengjia Zhang; Junjie Wu; Jiawei Chen 007; Changwang Zhang; Xingyu Lou; Wangchunshu Zhou; Sheng Zhou 004; Can Wang 001; Jun Wang 020 (CoRR, 2025)

OpenGT: A Comprehensive Benchmark For Graph Transformers. - Jiachen Tang; Zhonghao Wang 002; Sirui Chen; Sheng Zhou 004; Jiawei Chen 007; Jiajun Bu (CoRR, 2025)

Addressing Information Asymmetry: Deep Temporal Causality Discovery for Mixed Time Series. - Jiawei Chen 007; Chunhui Zhao 001 (IEEE Trans. Pattern Anal. Mach. Intell., 2025)

Breaking the Top-K Barrier: Advancing Top-K Ranking Metrics Optimization in Recommender Systems. - Weiqin Yang 002; Jiawei Chen 007; Shengjia Zhang; Peng Wu; Yuegang Sun; Yan Feng; Chun Chen 001; Can Wang 001 (CoRR, 2025)