Transmission capacity of device-to-device communication under heterogeneous networks with cellular users assisted. - Yang Yang 007; Ziyang Liu; Zuohui Fu; Tao Peng 001; Wenbo Wang 007 (GLOBECOM Workshops, 2013)

RadioHound: A Pervasive Sensing Network for Sub-6 GHz Dynamic Spectrum Monitoring. - Nikolaus Kleber; Jonathan D. Chisum; Aaron Striegel; Bertrand M. Hochwald; Abbas Termos; J. Nicholas Laneman; Zuohui Fu; John Merritt (CoRR, 2016)

Rhetorically Controlled Encoder-Decoder for Modern Chinese Poetry Generation. - Zhiqiang Liu; Zuohui Fu; Jie Cao 010; Gerard de Melo; Yik-Cheung Tam; Cheng Niu; Jie Zhou 016 (ACL (1), 2019)

Reinforcement Knowledge Graph Reasoning for Explainable Recommendation. - Yikun Xian; Zuohui Fu; S. Muthukrishnan 001; Gerard de Melo; Yongfeng Zhang (SIGIR, 2019)

Maximizing Marginal Utility per Dollar for Economic Recommendation. - Yingqiang Ge; Shuyuan Xu; Shuchang Liu 001; Shijie Geng; Zuohui Fu; Yongfeng Zhang (WWW, 2019)

sharedCharging: Data-Driven Shared Charging for Large-Scale Heterogeneous Electric Vehicle Fleets. - Guang Wang 001; Wenzhong Li; Jun Zhang 014; Yingqiang Ge; Zuohui Fu; Fan Zhang 019; Yang Wang 015; Desheng Zhang (Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2019)

ABSent: Cross-Lingual Sentence Representation Mapping with Bidirectional GANs. - Zuohui Fu; Yikun Xian; Shijie Geng; Yingqiang Ge; Yuting Wang; Xin Dong 010; Guang Wang 001; Gerard de Melo (AAAI, 2020)

OOGAN: Disentangling GAN with One-Hot Sampling and Orthogonal Regularization. - Bingchen Liu; Yizhe Zhu; Zuohui Fu; Gerard de Melo; Ahmed Elgammal (AAAI, 2020)

Enhanced Sentence Alignment Network for Efficient Short Text Matching. - Zhe Hu; Zuohui Fu; Cheng Peng; Weiwei Wang (W-NUT@EMNLP, 2020)

CAFE: Coarse-to-Fine Neural Symbolic Reasoning for Explainable Recommendation. - Yikun Xian; Zuohui Fu; Handong Zhao; Yingqiang Ge; Xu Chen 017; Qiaoying Huang; Shijie Geng; Zhou Qin 001; Gerard de Melo; S. Muthukrishnan 001; Yongfeng Zhang (CIKM, 2020)

HID: Hierarchical Multiscale Representation Learning for Information Diffusion. - Honglu Zhou; Shuyuan Xu; Zuohui Fu; Gerard de Melo; Yongfeng Zhang; Mubbasir Kapadia (IJCAI, 2020)

Tutorial on Conversational Recommendation Systems. - Zuohui Fu; Yikun Xian; Yongfeng Zhang; Yi Zhang 001 (RecSys, 2020)

Leveraging Adversarial Training in Self-Learning for Cross-Lingual Text Classification. - Xin Dong 010; Yaxin Zhu; Yupeng Zhang; Zuohui Fu; Dongkuan Xu; Sen Yang 002; Gerard de Melo (SIGIR, 2020)

Fairness-Aware Explainable Recommendation over Knowledge Graphs. - Zuohui Fu; Yikun Xian; Ruoyuan Gao; Jieyu Zhao 004; Qiaoying Huang; Yingqiang Ge; Shuyuan Xu; Shijie Geng; Chirag Shah 001; Yongfeng Zhang; Gerard de Melo (SIGIR, 2020)

Learning Personalized Risk Preferences for Recommendation. - Yingqiang Ge; Shuyuan Xu; Shuchang Liu 001; Zuohui Fu; Fei Sun 001; Yongfeng Zhang (SIGIR, 2020)

Character Matters: Video Story Understanding with Character-Aware Relations. - Shijie Geng; Ji Zhang; Zuohui Fu; Peng Gao 007; Hang Zhang; Gerard de Melo (CoRR, 2020)

Learning Post-Hoc Causal Explanations for Recommendation. - Shuyuan Xu; Yunqi Li 003; Shuchang Liu 001; Zuohui Fu; Yongfeng Zhang (CoRR, 2020)

Contrastive Visual-Linguistic Pretraining. - Lei Shi 002; Kai Shuang; Shijie Geng; Peng Su; Zhengkai Jiang 001; Peng Gao 007; Zuohui Fu; Gerard de Melo; Sen Su (CoRR, 2020)

Neural-Symbolic Reasoning over Knowledge Graph for Multi-stage Explainable Recommendation. - Yikun Xian; Zuohui Fu; Qiaoying Huang; S. Muthukrishnan 001; Yongfeng Zhang (CoRR, 2020)

COOKIE: A Dataset for Conversational Recommendation over Knowledge Graphs in E-commerce. - Zuohui Fu; Yikun Xian; Yaxin Zhu; Yongfeng Zhang; Gerard de Melo (CoRR, 2020)

E-BERT: A Phrase and Product Knowledge Enhanced Language Model for E-commerce. - Denghui Zhang; Zixuan Yuan; Yanchi Liu; Zuohui Fu; Fuzhen Zhuang; Pengyang Wang; Haifeng Chen; Hui Xiong 001 (CoRR, 2020)

Data Augmentation with Adversarial Training for Cross-Lingual NLI. - Xin Dong 010; Yaxin Zhu; Zuohui Fu; Dongkuan Xu; Gerard de Melo (ACL/IJCNLP (1), 2021)

Popcorn: Human-in-the-loop Popularity Debiasing in Conversational Recommender Systems. - Zuohui Fu; Yikun Xian; Shijie Geng; Gerard de Melo; Yongfeng Zhang (CIKM, 2021)

Context-Aware Interaction Network for Question Matching. - Zhe Hu; Zuohui Fu; Yu Yin 001; Gerard de Melo (EMNLP (1), 2021)

IUI 2021 Tutorial on Conversational Recommendation Systems. - Zuohui Fu; Yikun Xian; Yongfeng Zhang; Yi Zhang 001 (IUI Companion, 2021)

EXACTA: Explainable Column Annotation. - Yikun Xian; Handong Zhao; Tak Yeon Lee; Sungchul Kim; Ryan A. Rossi; Zuohui Fu; Gerard de Melo; S. Muthukrishnan 001 (KDD, 2021)

Dense Contrastive Visual-Linguistic Pretraining. - Lei Shi 002; Kai Shuang; Shijie Geng; Peng Gao 007; Zuohui Fu; Gerard de Melo; Yunpeng Chen; Sen Su (ACM Multimedia, 2021)

Faithfully Explainable Recommendation via Neural Logic Reasoning. - Yaxin Zhu; Yikun Xian; Zuohui Fu; Gerard de Melo; Yongfeng Zhang (NAACL-HLT, 2021)

HOOPS: Human-in-the-Loop Graph Reasoning for Conversational Recommendation. - Zuohui Fu; Yikun Xian; Yaxin Zhu; Shuyuan Xu; Zelong Li; Gerard de Melo; Yongfeng Zhang (SIGIR, 2021)

FedCT: Federated Collaborative Transfer for Recommendation. - Shuchang Liu 001; Shuyuan Xu; Wenhui Yu; Zuohui Fu; Yongfeng Zhang; Amélie Marian (SIGIR, 2021)

WSDM 2021 Tutorial on Conversational Recommendation Systems. - Zuohui Fu; Yikun Xian; Yongfeng Zhang; Yi Zhang 001 (WSDM, 2021)

User-oriented Fairness in Recommendation. - Yunqi Li 003; Hanxiong Chen; Zuohui Fu; Yingqiang Ge; Yongfeng Zhang (WWW, 2021)

Efficient Non-Sampling Knowledge Graph Embedding. - Zelong Li; Jianchao Ji; Zuohui Fu; Yingqiang Ge; Shuyuan Xu; Chong Chen 001; Yongfeng Zhang (WWW, 2021)

Discrete Knowledge Graph Embedding based on Discrete Optimization. - Yunqi Li 003; Shuyuan Xu; Bo Liu 093; Zuohui Fu; Shuchang Liu 001; Xu Chen 017; Yongfeng Zhang (CoRR, 2021)

RomeBERT: Robust Training of Multi-Exit BERT. - Shijie Geng; Peng Gao 007; Zuohui Fu; Yongfeng Zhang (CoRR, 2021)

Context-Aware Interaction Network for Question Matching. - Zhe Hu; Zuohui Fu; Yu Yin 001; Gerard de Melo; Cheng Peng (CoRR, 2021)

Improving Personalized Explanation Generation through Visualization. - Shijie Geng; Zuohui Fu; Yingqiang Ge; Lei Li 042; Gerard de Melo; Yongfeng Zhang (ACL (1), 2022)

Dynamic Causal Collaborative Filtering. - Shuyuan Xu; Juntao Tan; Zuohui Fu; Jianchao Ji; Shelby Heinecke; Yongfeng Zhang (CIKM, 2022)

D-HYPR: Harnessing Neighborhood Modeling and Asymmetry Preservation for Digraph Representation Learning. - Honglu Zhou; Advith Chegu; Samuel S. Sohn; Zuohui Fu; Gerard de Melo; Mubbasir Kapadia (CIKM, 2022)

Assessing Combinational Generalization of Language Models in Biased Scenarios. - Yanbo Fang; Zuohui Fu; Xin Dong 010; Yongfeng Zhang; Gerard de Melo (AACL/IJCNLP (2), 2022)

Recommendation as Language Processing (RLP): A Unified Pretrain, Personalized Prompt & Predict Paradigm (P5). - Shijie Geng; Shuchang Liu 001; Zuohui Fu; Yingqiang Ge; Yongfeng Zhang (RecSys, 2022)

Explainable Fairness in Recommendation. - Yingqiang Ge; Juntao Tan; Yan Zhu; Yinglong Xia; Jiebo Luo 001; Shuchang Liu 001; Zuohui Fu; Shijie Geng; Zelong Li; Yongfeng Zhang (SIGIR, 2022)

Path Language Modeling over Knowledge Graphsfor Explainable Recommendation. - Shijie Geng; Zuohui Fu; Juntao Tan; Yingqiang Ge; Gerard de Melo; Yongfeng Zhang (WWW, 2022)

Learning and Evaluating Graph Neural Network Explanations based on Counterfactual and Factual Reasoning. - Juntao Tan; Shijie Geng; Zuohui Fu; Yingqiang Ge; Shuyuan Xu; Yunqi Li 003; Yongfeng Zhang (WWW, 2022)

A Survey on Trustworthy Recommender Systems. - Yingqiang Ge; Shuchang Liu 001; Zuohui Fu; Juntao Tan; Zelong Li; Shuyuan Xu; Yunqi Li 003; Yikun Xian; Yongfeng Zhang (CoRR, 2022)

VIP5: Towards Multimodal Foundation Models for Recommendation. - Shijie Geng; Juntao Tan; Shuchang Liu 001; Zuohui Fu; Yongfeng Zhang (EMNLP (Findings), 2023)

Causal Collaborative Filtering. - Shuyuan Xu; Yingqiang Ge; Yunqi Li 003; Zuohui Fu; Xu Chen 017; Yongfeng Zhang (ICTIR, 2023)

Harnessing Neighborhood Modeling and Asymmetry Preservation for Digraph Representation Learning. - Honglu Zhou; Advith Chegu; Samuel S. Sohn; Zuohui Fu; Gerard de Melo; Mubbasir Kapadia (IJCAI, 2023)

A Reusable Model-agnostic Framework for Faithfully Explainable Recommendation and System Scrutability. - Zhichao Xu 001; Hansi Zeng; Juntao Tan; Zuohui Fu; Yongfeng Zhang; Qingyao Ai (ACM Trans. Inf. Syst., 2024)

A Survey on Trustworthy Recommender Systems. - Yingqiang Ge; Shuchang Liu 006; Zuohui Fu; Juntao Tan; Zelong Li; Shuyuan Xu; Yunqi Li 003; Yikun Xian; Yongfeng Zhang (Trans. Recomm. Syst., 2025)