Fuli Feng

According to our database, Fuli Feng authored at least 218 papers between 2016 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

HoGRN: Explainable Sparse Knowledge Graph Completion via High-Order Graph Reasoning Network.

Weijian Chen, Yixin Cao, Fuli Feng, Xiangnan He, Yongdong Zhang

IEEE Trans. Knowl. Data Eng., December, 2024

Causal Intervention for Fairness in Multibehavior Recommendation.

Xi Wang, Wenjie Wang, Fuli Feng, Wenge Rong, Chuantao Yin, Zhang Xiong

IEEE Trans. Comput. Soc. Syst., October, 2024

Mitigating Hidden Confounding Effects for Causal Recommendation.

Xinyuan Zhu, Yang Zhang, Fuli Feng, Xun Yang, Dingxian Wang, Xiangnan He

IEEE Trans. Knowl. Data Eng., September, 2024

Transferring Causal Mechanism over Meta-representations for Target-Unknown Cross-domain Recommendation.

Shengyu Zhang, Qiaowei Miao, Ping Nie, Mengze Li, Zhengyu Chen, Fuli Feng, Kun Kuang, Fei Wu

ACM Trans. Inf. Syst., July, 2024

Causal Inference in Recommender Systems: A Survey and Future Directions.

Chen Gao, Yu Zheng, Wenjie Wang, Fuli Feng, Xiangnan He, Yong Li

ACM Trans. Inf. Syst., July, 2024

When I Fall in Love: Capturing Video-Oriented Social Relationship Evolution via Attentive GNN.

Penggang Qin, Shiwei Wu, Tong Xu, Yanbin Hao, Fuli Feng, Chen Zhu, Enhong Chen

IEEE Trans. Circuits Syst. Video Technol., June, 2024

Causal Incremental Graph Convolution for Recommender System Retraining.

Sihao Ding, Fuli Feng, Xiangnan He, Yong Liao, Jun Shi, Yongdong Zhang

IEEE Trans. Neural Networks Learn. Syst., April, 2024

Learning to Double-Check Model Prediction From a Causal Perspective.

Xun Deng, Fuli Feng, Xiang Wang, Xiangnan He, Hanwang Zhang, Tat-Seng Chua

IEEE Trans. Neural Networks Learn. Syst., April, 2024

SLED: Structure Learning based Denoising for Recommendation.

Shengyu Zhang, Tan Jiang, Kun Kuang, Fuli Feng, Jin Yu, Jianxin Ma, Zhou Zhao, Jianke Zhu, Hongxia Yang, Tat-Seng Chua, Fei Wu

ACM Trans. Inf. Syst., March, 2024

Causal Distillation for Alleviating Performance Heterogeneity in Recommender Systems.

Shengyu Zhang, Ziqi Jiang, Jiangchao Yao, Fuli Feng, Kun Kuang, Zhou Zhao, Shuo Li, Hongxia Yang, Tat-Seng Chua, Fei Wu

IEEE Trans. Knowl. Data Eng., February, 2024

Causal Disentangled Recommendation against User Preference Shifts.

Wenjie Wang, Xinyu Lin, Liuhui Wang, Fuli Feng, Yunshan Ma, Tat-Seng Chua

ACM Trans. Inf. Syst., January, 2024

Real-Time Personalization for LLM-based Recommendation with Customized In-Context Learning.

Keqin Bao, Ming Yang, Yang Zhang, Jizhi Zhang, Wenjie Wang, Fuli Feng, Xiangnan He

CoRR, 2024

MMDocBench: Benchmarking Large Vision-Language Models for Fine-Grained Visual Document Understanding.

Fengbin Zhu, Ziyang Liu, Xiang Yao Ng, Haohui Wu, Wenjie Wang, Fuli Feng, Chao Wang, Huanbo Luan, Tat-Seng Chua

CoRR, 2024

FLOW: A Feedback LOop FrameWork for Simultaneously Enhancing Recommendation and User Agents.

Shihao Cai, Jizhi Zhang, Keqin Bao, Chongming Gao, Fuli Feng

CoRR, 2024

Personalized Image Generation with Large Multimodal Models.

Yiyan Xu, Wenjie Wang, Yang Zhang, Tang Biao, Peng Yan, Fuli Feng, Xiangnan He

CoRR, 2024

Efficient Inference for Large Language Model-based Generative Recommendation.

Xinyu Lin, Chaoqun Yang, Wenjie Wang, Yongqi Li, Cunxiao Du, Fuli Feng, See-Kiong Ng, Tat-Seng Chua

CoRR, 2024

M²PT: Multimodal Prompt Tuning for Zero-shot Instruction Learning.

Taowen Wang, Yiyang Liu, James Chenhao Liang, Junhan Zhao, Yiming Cui, Yuning Mao, Shaoliang Nie, Jiahao Liu, Fuli Feng, Zenglin Xu, Cheng Han, Lifu Huang, Qifan Wang, Dongfang Liu

CoRR, 2024

Proactive Recommendation in Social Networks: Steering User Interest via Neighbor Influence.

Hang Pan, Shuxian Bi, Wenjie Wang, Haoxuan Li, Peng Wu, Fuli Feng, Xiangnan He

CoRR, 2024

Negative Sampling in Recommendation: A Survey and Future Directions.

Haokai Ma, Ruobing Xie, Lei Meng, Fuli Feng, Xiaoyu Du, Xingwu Sun, Zhanhui Kang, Xiangxu Meng

CoRR, 2024

Incorporate LLMs with Influential Recommender System.

Mingze Wang, Shuxian Bi, Wenjie Wang, Chongming Gao, Yangyang Li, Fuli Feng

CoRR, 2024

Debias Can be Unreliable: Mitigating Bias Issue in Evaluating Debiasing Recommendation.

Chengbing Wang, Wentao Shi, Jizhi Zhang, Wenjie Wang, Hang Pan, Fuli Feng

CoRR, 2024

Improving Synthetic Image Detection Towards Generalization: An Image Transformation Perspective.

Ouxiang Li, Jiayin Cai, Yanbin Hao, Xiaolong Jiang, Yao Hu, Fuli Feng

CoRR, 2024

Model Inversion Attacks Through Target-Specific Conditional Diffusion Models.

Ouxiang Li, Yanbin Hao, Zhicai Wang, Bin Zhu, Shuo Wang, Zaixi Zhang, Fuli Feng

CoRR, 2024

Decoding Matters: Addressing Amplification Bias and Homogeneity Issue for LLM-based Recommendation.

Keqin Bao, Jizhi Zhang, Yang Zhang, Xinyue Huo, Chong Chen, Fuli Feng

CoRR, 2024

Counterfactual Debating with Preset Stances for Hallucination Elimination of LLMs.

Yi Fang, Moxin Li, Wenjie Wang, Hui Lin, Fuli Feng

CoRR, 2024

CrAM: Credibility-Aware Attention Modification in LLMs for Combating Misinformation in RAG.

Boyi Deng, Wenjie Wang, Fengbin Zhu, Qifan Wang, Fuli Feng

CoRR, 2024

Text-like Encoding of Collaborative Information in Large Language Models for Recommendation.

Yang Zhang, Keqin Bao, Ming Yang, Wenjie Wang, Fuli Feng, Xiangnan He

CoRR, 2024

Learnable Tokenizer for LLM-based Generative Recommendation.

Wenjie Wang, Honghui Bao, Xilin Chen, Jizhi Zhang, Yongqi Li, Fuli Feng, See-Kiong Ng, Tat-Seng Chua

CoRR, 2024

A Survey of Generative Search and Recommendation in the Era of Large Language Models.

Yongqi Li, Xinyu Lin, Wenjie Wang, Fuli Feng, Liang Pang, Wenjie Li, Liqiang Nie, Xiangnan He, Tat-Seng Chua

CoRR, 2024

Exact and Efficient Unlearning for Large Language Model-based Recommendation.

Zhiyu Hu, Yang Zhang, Minghao Xiao, Wenjie Wang, Fuli Feng, Xiangnan He

CoRR, 2024

Think Twice Before Assure: Confidence Estimation for Large Language Models through Reflection on Multiple Answers.

Moxin Li, Wenjie Wang, Fuli Feng, Fengbin Zhu, Qifan Wang, Tat-Seng Chua

CoRR, 2024

Enhancing Long-Term Recommendation with Bi-level Learnable Large Language Model Planning.

Wentao Shi, Xiangnan He, Yang Zhang, Chongming Gao, Xinyue Li, Jizhi Zhang, Qifan Wang, Fuli Feng

CoRR, 2024

Prospect Personalized Recommendation on Large Language Model-based Agent Platform.

Jizhi Zhang, Keqin Bao, Wenjie Wang, Yang Zhang, Wentao Shi, Wanhong Xu, Fuli Feng, Tat-Seng Chua

CoRR, 2024

DiFashion: Towards Personalized Outfit Generation and Recommendation.

Yiyan Xu, Wenjie Wang, Fuli Feng, Yunshan Ma, Jizhi Zhang, Xiangnan He

CoRR, 2024

TAT-LLM: A Specialized Language Model for Discrete Reasoning over Tabular and Textual Data.

Fengbin Zhu, Ziyang Liu, Fuli Feng, Chao Wang, Moxin Li, Tat-Seng Chua

CoRR, 2024

Plug-In Diffusion Model for Embedding Denoising in Recommendation System.

Jujia Zhao, Wenjie Wang, Yiyan Xu, Teng Sun, Fuli Feng

CoRR, 2024

Improving Prostate Cancer Risk Prediction through Partial AUC Optimization.

Xinyuan Zhu, Xiaohan Ren, Wentao Shi, Changming Wang, Xuehan Liu, Yuqing Liu, Tao Tao, Fuli Feng

Proceedings of the Companion Proceedings of the ACM on Web Conference 2024, 2024

Large Language Models for Recommendation: Progresses and Future Directions.

Jizhi Zhang, Keqin Bao, Yang Zhang, Wenjie Wang, Fuli Feng, Xiangnan He

Proceedings of the Companion Proceedings of the ACM on Web Conference 2024, 2024

The 2nd Workshop on Recommendation with Generative Models.

Wenjie Wang, Yang Zhang, Xinyu Lin, Fuli Feng, Weiwen Liu, Yong Liu, Xiangyu Zhao, Wayne Xin Zhao, Yang Song, Xiangnan He

Proceedings of the Companion Proceedings of the ACM on Web Conference 2024, 2024

Uplift Modeling for Target User Attacks on Recommender Systems.

Wenjie Wang, Changsheng Wang, Fuli Feng, Wentao Shi, Daizong Ding, Tat-Seng Chua

Proceedings of the ACM on Web Conference 2024, 2024

Lower-Left Partial AUC: An Effective and Efficient Optimization Metric for Recommendation.

Wentao Shi, Chenxu Wang, Fuli Feng, Yang Zhang, Wenjie Wang, Junkang Wu, Xiangnan He

Proceedings of the ACM on Web Conference 2024, 2024

Understanding and Counteracting Feature-Level Bias in Click-Through Rate Prediction.

Jinqiu Jin, Sihao Ding, Wenjie Wang, Fuli Feng

Proceedings of the Companion Proceedings of the ACM on Web Conference 2024, 2024

Item-side Fairness of Large Language Model-based Recommendation System.

Meng Jiang, Keqin Bao, Jizhi Zhang, Wenjie Wang, Zhengyi Yang, Fuli Feng, Xiangnan He

Proceedings of the ACM on Web Conference 2024, 2024

Proactive Recommendation with Iterative Preference Guidance.

Shuxian Bi, Wenjie Wang, Hang Pan, Fuli Feng, Xiangnan He

Proceedings of the Companion Proceedings of the ACM on Web Conference 2024, 2024

LabelCraft: Empowering Short Video Recommendations with Automated Label Crafting.

Yimeng Bai, Yang Zhang, Jing Lu, Jianxin Chang, Xiaoxue Zang, Yanan Niu, Yang Song, Fuli Feng

Proceedings of the 17th ACM International Conference on Web Search and Data Mining, 2024

Denoising Diffusion Recommender Model.

Jujia Zhao, Wenjie Wang, Yiyan Xu, Teng Sun, Fuli Feng, Tat-Seng Chua

Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2024

Leave No Patient Behind: Enhancing Medication Recommendation for Rare Disease Patients.

Zihao Zhao, Yi Jing, Fuli Feng, Jiancan Wu, Chongming Gao, Xiangnan He

Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2024

Diffusion Models for Generative Outfit Recommendation.

Yiyan Xu, Wenjie Wang, Fuli Feng, Yunshan Ma, Jizhi Zhang, Xiangnan He

Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2024

Fair Recommendations with Limited Sensitive Attributes: A Distributionally Robust Optimization Approach.

Tianhao Shi, Yang Zhang, Jizhi Zhang, Fuli Feng, Xiangnan He

Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2024

Large Language Models are Learnable Planners for Long-Term Recommendation.

Wentao Shi, Xiangnan He, Yang Zhang, Chongming Gao, Xinyue Li, Jizhi Zhang, Qifan Wang, Fuli Feng

Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2024

Data-efficient Fine-tuning for LLM-based Recommendation.

Xinyu Lin, Wenjie Wang, Yongqi Li, Shuo Yang, Fuli Feng, Yinwei Wei, Tat-Seng Chua

Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2024

Large Language Models for Recommendation: Past, Present, and Future.

Keqin Bao, Jizhi Zhang, Xinyu Lin, Yang Zhang, Wenjie Wang, Fuli Feng

Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2024

Bridging Items and Language: A Transition Paradigm for Large Language Model-Based Recommendation.

Xinyu Lin, Wenjie Wang, Yongqi Li, Fuli Feng, See-Kiong Ng, Tat-Seng Chua

Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

Debiased Recommendation with Noisy Feedback.

Haoxuan Li, Chunyuan Zheng, Wenjie Wang, Hao Wang, Fuli Feng, Xiao-Hua Zhou

Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

GradCraft: Elevating Multi-task Recommendations through Holistic Gradient Crafting.

Yimeng Bai, Yang Zhang, Fuli Feng, Jing Lu, Xiaoxue Zang, Chenyi Lei, Yang Song

Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

On the Maximal Local Disparity of Fairness-Aware Classifiers.

Jinqiu Jin, Haoxuan Li, Fuli Feng

Proceedings of the Forty-first International Conference on Machine Learning, 2024

A3S: A General Active Clustering Method with Pairwise Constraints.

Xun Deng, Junlong Liu, Han Zhong, Fuli Feng, Chen Shen, Xiangnan He, Jieping Ye, Zheng Wang

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Be Aware of the Neighborhood Effect: Modeling Selection Bias under Interference.

Haoxuan Li, Chunyuan Zheng, Sihao Ding, Peng Wu, Zhi Geng, Fuli Feng, Xiangnan He

Proceedings of the Twelfth International Conference on Learning Representations, 2024

TAT-LLM: A Specialized Language Model for Discrete Reasoning over Financial Tabular and Textual Data.

Fengbin Zhu, Ziyang Liu, Fuli Feng, Chao Wang, Moxin Li, Tat-Seng Chua

Proceedings of the 5th ACM International Conference on AI in Finance, 2024

EAVE: Efficient Product Attribute Value Extraction via Lightweight Sparse-layer Interaction.

Li Yang, Qifan Wang, Jianfeng Chi, Jiahao Liu, Jingang Wang, Fuli Feng, Zenglin Xu, Yi Fang, Lifu Huang, Dongfang Liu

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

Dual-Phase Accelerated Prompt Optimization.

Muchen Yang, Moxin Li, Yongle Li, Zijun Chen, Chongming Gao, Junqi Zhang, Yangyang Li, Fuli Feng

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

M²PT: Multimodal Prompt Tuning for Zero-shot Instruction Learning.

Taowen Wang, Yiyang Liu, James Liang, Junhan Zhao, Yiming Cui, Yuning Mao, Shaoliang Nie, Jiahao Liu, Fuli Feng, Zenglin Xu, Cheng Han, Lifu Huang, Qifan Wang, Dongfang Liu

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

Direct Multi-Turn Preference Optimization for Language Agents.

Wentao Shi, Mengqi Yuan, Junkang Wu, Qifan Wang, Fuli Feng

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

Think Twice Before Trusting: Self-Detection for Large Language Models through Comprehensive Answer Reflection.

Moxin Li, Wenjie Wang, Fuli Feng, Fengbin Zhu, Qifan Wang, Tat-Seng Chua

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

Decoding Matters: Addressing Amplification Bias and Homogeneity Issue in Recommendations for Large Language Models.

Keqin Bao, Jizhi Zhang, Yang Zhang, Xinyue Huo, Chong Chen, Fuli Feng

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

Doc2SoarGraph: Discrete Reasoning over Visually-Rich Table-Text Documents via Semantic-Oriented Hierarchical Graphs.

Fengbin Zhu, Chao Wang, Fuli Feng, Zifeng Ren, Moxin Li, Tat-Seng Chua

Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024

Preliminary Study on Incremental Learning for Large Language Model-based Recommender Systems.

Tianhao Shi, Yang Zhang, Zhijian Xu, Chong Chen, Fuli Feng, Xiangnan He, Qi Tian

Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024

Learnable Item Tokenization for Generative Recommendation.

Wenjie Wang, Honghui Bao, Xinyu Lin, Jizhi Zhang, Yongqi Li, Fuli Feng, See-Kiong Ng, Tat-Seng Chua

Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024

Text-like Encoding of Collaborative Information in Large Language Models for Recommendation.

Yang Zhang, Keqin Bao, Ming Yan, Wenjie Wang, Fuli Feng, Xiangnan He

Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

Evaluating Mathematical Reasoning of Large Language Models: A Focus on Error Identification and Correction.

Xiaoyuan Li, Wenjie Wang, Moxin Li, Junrong Guo, Yang Zhang, Fuli Feng

Proceedings of the Findings of the Association for Computational Linguistics, 2024

Temporally and Distributionally Robust Optimization for Cold-Start Recommendation.

Xinyu Lin, Wenjie Wang, Jujia Zhao, Yongqi Li, Fuli Feng, Tat-Seng Chua

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Rethinking Missing Data: Aleatoric Uncertainty-Aware Recommendation.

Chenxu Wang, Fuli Feng, Yang Zhang, Qifan Wang, Xunhan Hu, Xiangnan He

IEEE Trans. Big Data, December, 2023

Personalized Latent Structure Learning for Recommendation.

Shengyu Zhang, Fuli Feng, Kun Kuang, Wenqiao Zhang, Zhou Zhao, Hongxia Yang, Tat-Seng Chua, Fei Wu

IEEE Trans. Pattern Anal. Mach. Intell., August, 2023

CatGCN: Graph Convolutional Networks With Categorical Node Features.

Weijian Chen, Fuli Feng, Qifan Wang, Xiangnan He, Chonggang Song, Guohui Ling, Yongdong Zhang

IEEE Trans. Knowl. Data Eng., April, 2023

Mitigating Spurious Correlations for Self-supervised Recommendation.

Xin-Yu Lin, Yiyan Xu, Wenjie Wang, Yang Zhang, Fuli Feng

Mach. Intell. Res., April, 2023

Interactive active learning for fairness with partial group label.

Zeyu Yang, Jizhi Zhang, Fuli Feng, Chongming Gao, Qifan Wang, Xiangnan He

AI Open, January, 2023

Information Retrieval meets Large Language Models: A strategic report from Chinese IR community.

Qingyao Ai, Ting Bai, Zhao Cao, Yi Chang, Jiawei Chen, Zhumin Chen, Zhiyong Cheng, Shoubin Dong, Zhicheng Dou, Fuli Feng, Shen Gao, Jiafeng Guo, Xiangnan He, Yanyan Lan, Chenliang Li, Yiqun Liu, Ziyu Lyu, Weizhi Ma, Jun Ma, Zhaochun Ren, Pengjie Ren, Zhiqiang Wang, Mingwen Wang, Ji-Rong Wen, Le Wu, Xin Xin, Jun Xu, Dawei Yin, Peng Zhang, Fan Zhang, Weinan Zhang, Min Zhang, Xiaofei Zhu

AI Open, January, 2023

Bias and Debias in Recommender System: A Survey and Future Directions.

Jiawei Chen, Hande Dong, Xiang Wang, Fuli Feng, Meng Wang, Xiangnan He

ACM Trans. Inf. Syst., 2023

Addressing Confounding Feature Issue for Causal Recommendation.

Xiangnan He, Yang Zhang, Fuli Feng, Chonggang Song, Lingling Yi, Guohui Ling, Yongdong Zhang

ACM Trans. Inf. Syst., 2023

Cross-GCN: Enhancing Graph Convolutional Network with $k$k-Order Feature Interactions.

Fuli Feng, Xiangnan He, Hanwang Zhang, Tat-Seng Chua

IEEE Trans. Knowl. Data Eng., 2023

Reinforced Causal Explainer for Graph Neural Networks.

Xiang Wang, Yingxin Wu, An Zhang, Fuli Feng, Xiangnan He, Tat-Seng Chua

IEEE Trans. Pattern Anal. Mach. Intell., 2023

Preliminary Study on Incremental Learning for Large Language Model-based Recommender Systems.

Tianhao Shi, Yang Zhang, Zhijian Xu, Chong Chen, Fuli Feng, Xiangnan He, Qi Tian

CoRR, 2023

CoLLM: Integrating Collaborative Embeddings into Large Language Models for Recommendation.

Yang Zhang, Fuli Feng, Jizhi Zhang, Keqin Bao, Qifan Wang, Xiangnan He

CoRR, 2023

A Multi-facet Paradigm to Bridge Large Language Model and Recommendation.

Xinyu Lin, Wenjie Wang, Yongqi Li, Fuli Feng, See-Kiong Ng, Tat-Seng Chua

CoRR, 2023

Label Denoising through Cross-Model Agreement.

Yu Wang, Xin Xin, Zaiqiao Meng, Xiangnan He, Joemon M. Jose, Fuli Feng

CoRR, 2023

A Bi-Step Grounding Paradigm for Large Language Models in Recommendation Systems.

Keqin Bao, Jizhi Zhang, Wenjie Wang, Yang Zhang, Zhengyi Yang, Yancheng Luo, Fuli Feng, Xiangnan He, Qi Tian

CoRR, 2023

Recommendation Unlearning via Influence Function.

Yang Zhang, Zhiyu Hu, Yimeng Bai, Fuli Feng, Jiancan Wu, Qifan Wang, Xiangnan He

CoRR, 2023

Robust Instruction Optimization for Large Language Models with Distribution Shifts.

Moxin Li, Wenjie Wang, Fuli Feng, Jizhi Zhang, Tat-Seng Chua

CoRR, 2023

Doc2SoarGraph: Discrete Reasoning over Visually-Rich Table-Text Documents with Semantic-Oriented Hierarchical Graphs.

Fengbin Zhu, Chao Wang, Fuli Feng, Zifeng Ren, Moxin Li, Tat-Seng Chua

CoRR, 2023

Generative Recommendation: Towards Next-generation Recommender Paradigm.

Wenjie Wang, Xinyu Lin, Fuli Feng, Xiangnan He, Tat-Seng Chua

CoRR, 2023

SoarGraph: Numerical Reasoning over Financial Table-Text Data via Semantic-Oriented Hierarchical Graphs.

Fengbin Zhu, Moxin Li, Junbin Xiao, Fuli Feng, Chao Wang, Tat-Seng Chua

Proceedings of the Companion Proceedings of the ACM Web Conference 2023, 2023

MaSS: Model-agnostic, Semantic and Stealthy Data Poisoning Attack on Knowledge Graph Embedding.

Xiaoyu You, Beina Sheng, Daizong Ding, Mi Zhang, Xudong Pan, Min Yang, Fuli Feng

Proceedings of the ACM Web Conference 2023, 2023

Anti-FakeU: Defending Shilling Attacks on Graph Neural Network based Recommender Model.

Xiaoyu You, Chi Li, Daizong Ding, Mi Zhang, Fuli Feng, Xudong Pan, Min Yang

Proceedings of the ACM Web Conference 2023, 2023

On the Theories Behind Hard Negative Sampling for Recommendation.

Wentao Shi, Jiawei Chen, Fuli Feng, Jizhi Zhang, Junkang Wu, Chongming Gao, Xiangnan He

Proceedings of the ACM Web Conference 2023, 2023

Unbiased Knowledge Distillation for Recommendation.

Gang Chen, Jiawei Chen, Fuli Feng, Sheng Zhou, Xiangnan He

Proceedings of the Sixteenth ACM International Conference on Web Search and Data Mining, 2023

A Causal View for Item-level Effect of Recommendation on User Preference.

Wei Cai, Fuli Feng, Qifan Wang, Tian Yang, Zhenguang Liu, Congfu Xu

Proceedings of the Sixteenth ACM International Conference on Web Search and Data Mining, 2023

Reformulating CTR Prediction: Learning Invariant Feature Interactions for Recommendation.

Yang Zhang, Tianhao Shi, Fuli Feng, Wenjie Wang, Dingxian Wang, Xiangnan He, Yongdong Zhang

Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023

Causal Recommendation: Progresses and Future Directions.

Wenjie Wang, Yang Zhang, Haoxuan Li, Peng Wu, Fuli Feng, Xiangnan He

Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023

Diffusion Recommender Model.

Wenjie Wang, Yiyan Xu, Fuli Feng, Xinyu Lin, Xiangnan He, Tat-Seng Chua

Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023

Prediction then Correction: An Abductive Prediction Correction Method for Sequential Recommendation.

Yulong Huang, Yang Zhang, Qifan Wang, Chenxu Wang, Fuli Feng

Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023

Is ChatGPT Fair for Recommendation? Evaluating Fairness in Large Language Model Recommendation.

Jizhi Zhang, Keqin Bao, Yang Zhang, Wenjie Wang, Fuli Feng, Xiangnan He

Proceedings of the 17th ACM Conference on Recommender Systems, 2023

RecAD: Towards A Unified Library for Recommender Attack and Defense.

Changsheng Wang, Jianbai Ye, Wenjie Wang, Chongming Gao, Fuli Feng, Xiangnan He

Proceedings of the 17th ACM Conference on Recommender Systems, 2023

ADRNet: A Generalized Collaborative Filtering Framework Combining Clinical and Non-Clinical Data for Adverse Drug Reaction Prediction.

Haoxuan Li, Taojun Hu, Zetong Xiong, Chunyuan Zheng, Fuli Feng, Xiangnan He, Xiao-Hua Zhou

Proceedings of the 17th ACM Conference on Recommender Systems, 2023

TALLRec: An Effective and Efficient Tuning Framework to Align Large Language Model with Recommendation.

Keqin Bao, Jizhi Zhang, Yang Zhang, Wenjie Wang, Fuli Feng, Xiangnan He

Proceedings of the 17th ACM Conference on Recommender Systems, 2023

Removing Hidden Confounding in Recommendation: A Unified Multi-Task Learning Approach.

Haoxuan Li, Kunhan Wu, Chunyuan Zheng, Yanghao Xiao, Hao Wang, Zhi Geng, Fuli Feng, Xiangnan He, Peng Wu

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Fairly Recommending with Social Attributes: A Flexible and Controllable Optimization Approach.

Jinqiu Jin, Haoxuan Li, Fuli Feng, Sihao Ding, Peng Wu, Xiangnan He

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Equivariant Learning for Out-of-Distribution Cold-start Recommendation.

Wenjie Wang, Xinyu Lin, Liuhui Wang, Fuli Feng, Yinwei Wei, Tat-Seng Chua

Proceedings of the 31st ACM International Conference on Multimedia, 2023

Partial Annotation-based Video Moment Retrieval via Iterative Learning.

Wei Ji, Renjie Liang, Lizi Liao, Hao Fei, Fuli Feng

Proceedings of the 31st ACM International Conference on Multimedia, 2023

Stable Prediction on Graphs with Agnostic Distribution Shifts.

Shengyu Zhang, Yunze Tong, Kun Kuang, Fuli Feng, Jiezhong Qiu, Jin Yu, Zhou Zhao, Hongxia Yang, Zhongfei Zhang, Fei Wu

Proceedings of the KDD'23 Workshop on Causal Discovery, 2023

FLOOD: A Flexible Invariant Learning Framework for Out-of-Distribution Generalization on Graphs.

Yang Liu, Xiang Ao, Fuli Feng, Yunshan Ma, Kuan Li, Tat-Seng Chua, Qing He

Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

Discriminative-Invariant Representation Learning for Unbiased Recommendation.

Hang Pan, Jiawei Chen, Fuli Feng, Wentao Shi, Junkang Wu, Xiangnan He

Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

LightMIRM: Light Meta-learned Invariant Risk Minimization for Trustworthy Loan Default Prediction.

Meng Jiang, Yang Zhang, Yuan Gao, Yansong Wang, Fuli Feng, Xiangnan He

Proceedings of the 39th IEEE International Conference on Data Engineering, 2023

APrompt: Attention Prompt Tuning for Efficient Adaptation of Pre-trained Language Models.

Qifan Wang, Yuning Mao, Jingang Wang, Hanchao Yu, Shaoliang Nie, Sinong Wang, Fuli Feng, Lifu Huang, Xiaojun Quan, Zenglin Xu, Dongfang Liu

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

Robust Prompt Optimization for Large Language Models Against Distribution Shifts.

Moxin Li, Wenjie Wang, Fuli Feng, Yixin Cao, Jizhi Zhang, Tat-Seng Chua

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

RoAST: Robustifying Language Models via Adversarial Perturbation with Selective Training.

Jaehyung Kim, Yuning Mao, Rui Hou, Hanchao Yu, Davis Liang, Pascale Fung, Qifan Wang, Fuli Feng, Lifu Huang, Madian Khabsa

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

Attack Prompt Generation for Red Teaming and Defending Large Language Models.

Boyi Deng, Wenjie Wang, Fuli Feng, Yang Deng, Qifan Wang, Xiangnan He

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

Leveraging Watch-time Feedback for Short-Video Recommendations: A Causal Labeling Framework.

Yang Zhang, Yimeng Bai, Jianxin Chang, Xiaoxue Zang, Song Lu, Jing Lu, Fuli Feng, Yanan Niu, Yang Song

Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

The 1st Workshop on Recommendation with Generative Models.

Wenjie Wang, Yong Liu, Yang Zhang, Weiwen Liu, Fuli Feng, Xiangnan He, Aixin Sun

Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

MixPAVE: Mix-Prompt Tuning for Few-shot Product Attribute Value Extraction.

Li Yang, Qifan Wang, Jingang Wang, Xiaojun Quan, Fuli Feng, Yu Chen, Madian Khabsa, Sinong Wang, Zenglin Xu, Dongfang Liu

Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

MUSTIE: Multimodal Structural Transformer for Web Information Extraction.

Qifan Wang, Jingang Wang, Xiaojun Quan, Fuli Feng, Zenglin Xu, Shaoliang Nie, Sinong Wang, Madian Khabsa, Hamed Firooz, Dongfang Liu

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

Hypothetical Training for Robust Machine Reading Comprehension of Tabular Context.

Moxin Li, Wenjie Wang, Fuli Feng, Hanwang Zhang, Qifan Wang, Tat-Seng Chua

Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

Counterfactual Active Learning for Out-of-Distribution Generalization.

Xun Deng, Wenjie Wang, Fuli Feng, Hanwang Zhang, Xiangnan He, Yong Liao

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

Black-Box Adversarial Attack on Time Series Classification.

Daizong Ding, Mi Zhang, Fuli Feng, Yuanmin Huang, Erling Jiang, Min Yang

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

Video-Audio Domain Generalization via Confounder Disentanglement.

Shengyu Zhang, Xusheng Feng, Wenyan Fan, Wenjing Fang, Fuli Feng, Wei Ji, Shuo Li, Li Wang, Shanshan Zhao, Zhou Zhao, Tat-Seng Chua, Fei Wu

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

Response Generation by Jointly Modeling Personalized Linguistic Styles and Emotions.

Teng Sun, Chun Wang, Xuemeng Song, Fuli Feng, Liqiang Nie

ACM Trans. Multim. Comput. Commun. Appl., 2022

Cross-domain Recommendation with Bridge-Item Embeddings.

Chen Gao, Yong Li, Fuli Feng, Xiangning Chen, Kai Zhao, Xiangnan He, Depeng Jin

ACM Trans. Knowl. Discov. Data, 2022

Food recommendation with graph convolutional network.

Xiaoyan Gao, Fuli Feng, Heyan Huang, Xian-Ling Mao, Tian Lan, Zewen Chi

Inf. Sci., 2022

MC-Net: Learning mutually-complementary features for image manipulation localization.

Dengyun Xu, Xuanjing Shen, Yingda Lyu, Xiaoyu Du, Fuli Feng

Int. J. Intell. Syst., 2022

Causal Intervention for Fairness in Multi-behavior Recommendation.

Xi Wang, Wenjie Wang, Fuli Feng, Wenge Rong, Chuantao Yin

CoRR, 2022

CCL4Rec: Contrast over Contrastive Learning for Micro-video Recommendation.

Shengyu Zhang, Bofang Li, Dong Yao, Fuli Feng, Jieming Zhu, Wenyan Fan, Zhou Zhao, Xiaofei He, Tat-Seng Chua, Fei Wu

CoRR, 2022

Explainable Sparse Knowledge Graph Completion via High-order Graph Reasoning Network.

Weijian Chen, Yixin Cao, Fuli Feng, Xiangnan He, Yongdong Zhang

CoRR, 2022

Graph Neural Network with Curriculum Learning for Imbalanced Node Classification.

Xiaohe Li, Lijie Wen, Yawen Deng, Fuli Feng, Xuming Hu, Lei Wang, Zide Fan

CoRR, 2022

Deconfounding to Explanation Evaluation in Graph Neural Networks.

Ying-Xin Wu, Xiang Wang, An Zhang, Xia Hu, Fuli Feng, Xiangnan He, Tat-Seng Chua

CoRR, 2022

Training Free Graph Neural Networks for Graph Matching.

Zhiyuan Liu, Yixin Cao, Fuli Feng, Xiang Wang, Xindi Shang, Jie Tang, Kenji Kawaguchi, Tat-Seng Chua

CoRR, 2022

Re4: Learning to Re-contrast, Re-attend, Re-construct for Multi-interest Recommendation.

Shengyu Zhang, Lingxiao Yang, Dong Yao, Yujie Lu, Fuli Feng, Zhou Zhao, Tat-Seng Chua, Fei Wu

Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 2022

Learning Robust Recommenders through Cross-Model Agreement.

Yu Wang, Xin Xin, Zaiqiao Meng, Joemon M. Jose, Fuli Feng, Xiangnan He

Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 2022

Causal Representation Learning for Out-of-Distribution Recommendation.

Wenjie Wang, Xinyu Lin, Fuli Feng, Xiangnan He, Min Lin, Tat-Seng Chua

Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 2022

WebFormer: The Web-page Transformer for Structure Information Extraction.

Qifan Wang, Yi Fang, Anirudh Ravula, Fuli Feng, Xiaojun Quan, Dongfang Liu

Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 2022

Accepted Tutorials at The Web Conference 2022.

Riccardo Tommasini, Senjuti Basu Roy, Xuan Wang, Hongwei Wang, Heng Ji, Jiawei Han, Preslav Nakov, Giovanni Da San Martino, Firoj Alam, Markus Schedl, Elisabeth Lex, Akash Bharadwaj, Graham Cormode, Milan Dojchinovski, Jan Forberg, Johannes Frey, Pieter Bonte, Marco Balduini, Matteo Belcao, Emanuele Della Valle, Junliang Yu, Hongzhi Yin, Tong Chen, Haochen Liu, Yiqi Wang, Wenqi Fan, Xiaorui Liu, Jamell Dacon, Lingjuan Lye, Jiliang Tang, Aristides Gionis, Stefan Neumann, Bruno Ordozgoiti, Simon Razniewski, Hiba Arnaout, Shrestha Ghosh, Fabian M. Suchanek, Lingfei Wu, Yu Chen, Yunyao Li, Bang Liu, Filip Ilievski, Daniel Garijo, Hans Chalupsky, Pedro A. Szekely, Ilias Kanellos, Dimitris Sacharidis, Thanasis Vergoulis, Nurendra Choudhary, Nikhil Rao, Karthik Subbian, Srinivasan H. Sengamedu, Chandan K. Reddy, Friedhelm Victor, Bernhard Haslhofer, George Katsogiannis-Meimarakis, Georgia Koutrika, Shengmin Jin, Danai Koutra, Reza Zafarani, Yulia Tsvetkov, Vidhisha Balachandran, Sachin Kumar, Xiangyu Zhao, Bo Chen, Huifeng Guo, Yejing Wang, Ruiming Tang, Yang Zhang, Wenjie Wang, Peng Wu, Fuli Feng, Xiangnan He

Proceedings of the Companion of The Web Conference 2022, Virtual Event / Lyon, France, April 25, 2022

Structured and Natural Responses Co-generation for Conversational Search.

Chenchen Ye, Lizi Liao, Fuli Feng, Wei Ji, Tat-Seng Chua

Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022

User-controllable Recommendation Against Filter Bubbles.

Wenjie Wang, Fuli Feng, Liqiang Nie, Tat-Seng Chua

Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022

Interpolative Distillation for Unifying Biased and Debiased Recommendation.

Sihao Ding, Fuli Feng, Xiangnan He, Jinqiu Jin, Wenjie Wang, Yong Liao, Yongdong Zhang

Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022

Towards Complex Document Understanding By Discrete Reasoning.

Fengbin Zhu, Wenqiang Lei, Fuli Feng, Chao Wang, Haozhou Zhang, Tat-Seng Chua

Proceedings of the MM '22: The 30th ACM International Conference on Multimedia, Lisboa, Portugal, October 10, 2022

Invariant Representation Learning for Multimedia Recommendation.

Xiaoyu Du, Zike Wu, Fuli Feng, Xiangnan He, Jinhui Tang

Proceedings of the MM '22: The 30th ACM International Conference on Multimedia, Lisboa, Portugal, October 10, 2022

UD-GNN: Uncertainty-aware Debiased Training on Semi-Homophilous Graphs.

Yang Liu, Xiang Ao, Fuli Feng, Qing He

Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

Addressing Unmeasured Confounder for Recommendation with Sensitivity Analysis.

Sihao Ding, Peng Wu, Fuli Feng, Yitong Wang, Xiangnan He, Yong Liao, Yongdong Zhang

Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

GL-RG: Global-Local Representation Granularity for Video Captioning.

Liqi Yan, Qifan Wang, Yiming Cui, Fuli Feng, Xiaojun Quan, Xiangyu Zhang, Dongfang Liu

Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

Copy Motion From One to Another: Fake Motion Video Generation.

Zhenguang Liu, Sifan Wu, Chejian Xu, Xiang Wang, Lei Zhu, Shuang Wu, Fuli Feng

Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

Dynamic Hypergraph Convolutional Network.

Nan Yin, Fuli Feng, Zhigang Luo, Xiang Zhang, Wenjie Wang, Xiao Luo, Chong Chen, Xian-Sheng Hua

Proceedings of the 38th IEEE International Conference on Data Engineering, 2022

Towards Backdoor Attack on Deep Learning based Time Series Classification.

Daizong Ding, Mi Zhang, Yuanmin Huang, Xudong Pan, Fuli Feng, Erling Jiang, Min Yang

Proceedings of the 38th IEEE International Conference on Data Engineering, 2022

Learning to Generate Question by Asking Question: A Primal-Dual Approach with Uncommon Word Generation.

Qifan Wang, Li Yang, Xiaojun Quan, Fuli Feng, Dongfang Liu, Zenglin Xu, Sinong Wang, Hao Ma

Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

Learning to Imagine: Integrating Counterfactual Thinking in Neural Discrete Reasoning.

Moxin Li, Fuli Feng, Hanwang Zhang, Xiangnan He, Fengbin Zhu, Tat-Seng Chua

Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

2021

Attribute-wise Explainable Fashion Compatibility Modeling.

Xin Yang, Xuemeng Song, Fuli Feng, Haokun Wen, Ling-Yu Duan, Liqiang Nie

ACM Trans. Multim. Comput. Commun. Appl., 2021

Urban Perception: Sensing Cities via a Deep Interactive Multi-task Learning Framework.

Weili Guan, Zhaozheng Chen, Fuli Feng, Weifeng Liu, Liqiang Nie

ACM Trans. Multim. Comput. Commun. Appl., 2021

Learning to Recommend With Multiple Cascading Behaviors.

Chen Gao, Xiangnan He, Dahua Gan, Xiangning Chen, Fuli Feng, Yong Li, Tat-Seng Chua, Lina Yao, Yang Song, Depeng Jin

IEEE Trans. Knowl. Data Eng., 2021

Graph Adversarial Training: Dynamically Regularizing Based on Graph Structure.

Fuli Feng, Xiangnan He, Jie Tang, Tat-Seng Chua

IEEE Trans. Knowl. Data Eng., 2021

Sampler Design for Bayesian Personalized Ranking by Leveraging View Data.

Jingtao Ding, Guanghui Yu, Xiangnan He, Fuli Feng, Yong Li, Depeng Jin

IEEE Trans. Knowl. Data Eng., 2021

Learning Robust Recommender from Noisy Implicit Feedback.

Wenjie Wang, Fuli Feng, Xiangnan He, Liqiang Nie, Tat-Seng Chua

CoRR, 2021

Probabilistic and Variational Recommendation Denoising.

Yu Wang, Xin Xin, Zaiqiao Meng, Xiangnan He, Joemon M. Jose, Fuli Feng

CoRR, 2021

Structure-enhanced meta-learning for few-shot graph classification.

Shunyu Jiang, Fuli Feng, Weijian Chen, Xiang Li, Xiangnan He

AI Open, 2021

On the Equivalence of Decoupled Graph Convolution Network and Label Propagation.

Hande Dong, Jiawei Chen, Fuli Feng, Xiangnan He, Shuxian Bi, Zhaolin Ding, Peng Cui

Proceedings of the WWW '21: The Web Conference 2021, 2021

Denoising Implicit Feedback for Recommendation.

Wenjie Wang, Fuli Feng, Xiangnan He, Liqiang Nie, Tat-Seng Chua

Proceedings of the WSDM '21, 2021

Causal Intervention for Leveraging Popularity Bias in Recommendation.

Yang Zhang, Fuli Feng, Xiangnan He, Tianxin Wei, Chonggang Song, Guohui Ling, Yongdong Zhang

Proceedings of the SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2021

Deconfounded Video Moment Retrieval with Causal Intervention.

Xun Yang, Fuli Feng, Wei Ji, Meng Wang, Tat-Seng Chua

Proceedings of the SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2021

Self-supervised Graph Learning for Recommendation.

Jiancan Wu, Xiang Wang, Fuli Feng, Xiangnan He, Liang Chen, Jianxun Lian, Xing Xie

Proceedings of the SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2021

Clicks can be Cheating: Counterfactual Recommendation for Mitigating Clickbait Issue.

Wenjie Wang, Fuli Feng, Xiangnan He, Hanwang Zhang, Tat-Seng Chua

Proceedings of the SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2021

Hybrid Learning to Rank for Financial Event Ranking.

Fuli Feng, Moxin Li, Cheng Luo, Ritchie Ng, Tat-Seng Chua

Proceedings of the SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2021

Should Graph Convolution Trust Neighbors? A Simple Causal Inference Method.

Fuli Feng, Weiran Huang, Xiangnan He, Xin Xin, Qifan Wang, Tat-Seng Chua

Proceedings of the SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2021

Bias Issues and Solutions in Recommender System: Tutorial on the RecSys 2021.

Jiawei Chen, Xiang Wang, Fuli Feng, Xiangnan He

Proceedings of the RecSys '21: Fifteenth ACM Conference on Recommender Systems, Amsterdam, The Netherlands, 27 September 2021, 2021

Model-Agnostic Counterfactual Reasoning for Eliminating Popularity Bias in Recommender System.

Tianxin Wei, Fuli Feng, Jiawei Chen, Ziwei Wu, Jinfeng Yi, Xiangnan He

Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

Deconfounded Recommendation for Alleviating Bias Amplification.

Wenjie Wang, Fuli Feng, Xiangnan He, Xiang Wang, Tat-Seng Chua

Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

Time horizon-aware modeling of financial texts for stock price prediction.

Fuli Feng, Xiang Wang, Xiangnan He, Ritchie Ng, Tat-Seng Chua

Proceedings of the ICAIF'21: 2nd ACM International Conference on AI in Finance, Virtual Event, November 3, 2021

Pre-training and evaluation of numeracy-oriented language model.

Fuli Feng, Xilin Rui, Wenjie Wang, Yixin Cao, Tat-Seng Chua

Proceedings of the ICAIF'21: 2nd ACM International Conference on AI in Finance, Virtual Event, November 3, 2021

Learning to Learn the Future: Modeling Concept Drifts in Time Series Prediction.

Xiaoyu You, Mi Zhang, Daizong Ding, Fuli Feng, Yuanmin Huang

Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

TAT-QA: A Question Answering Benchmark on a Hybrid of Tabular and Textual Content in Finance.

Fengbin Zhu, Wenqiang Lei, Youcheng Huang, Chao Wang, Shuo Zhang, Jiancheng Lv, Fuli Feng, Tat-Seng Chua

Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

Empowering Language Understanding with Counterfactual Reasoning.

Fuli Feng, Jizhi Zhang, Xiangnan He, Hanwang Zhang, Tat-Seng Chua

Proceedings of the Findings of the Association for Computational Linguistics: ACL/IJCNLP 2021, 2021

Counterfactual Inference for Text Classification Debiasing.

Chen Qian, Fuli Feng, Lijie Wen, Chunping Ma, Pengjun Xie

Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

Conceptualized and Contextualized Gaussian Embedding.

Chen Qian, Fuli Feng, Lijie Wen, Tat-Seng Chua

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

Large-Scale Question Tagging via Joint Question-Topic Embedding Learning.

Liqiang Nie, Yongqi Li, Fuli Feng, Xuemeng Song, Meng Wang, Yinglong Wang

ACM Trans. Inf. Syst., 2020

Hierarchical Attention Network for Visually-Aware Food Recommendation.

Xiaoyan Gao, Fuli Feng, Xiangnan He, Heyan Huang, Xinyu Guan, Chong Feng, Zhaoyan Ming, Tat-Seng Chua

IEEE Trans. Multim., 2020

Model-Agnostic Counterfactual Reasoning for Eliminating Popularity Bias in Recommender System.

Tianxin Wei, Fuli Feng, Jiawei Chen, Chufeng Shi, Ziwei Wu, Jinfeng Yi, Xiangnan He

CoRR, 2020

Should Graph Convolution Trust Neighbors? A Simple Causal Inference Method.

Fuli Feng, Weiran Huang, Xin Xin, Xiangnan He, Tat-Seng Chua

CoRR, 2020

"Click" Is Not Equal to "Like": Counterfactual Recommendation for Mitigating Clickbait Issue.

Wenjie Wang, Fuli Feng, Xiangnan He, Hanwang Zhang, Tat-Seng Chua

CoRR, 2020

Data Augmentation View on Graph Convolutional Network and the Proposal of Monte Carlo Graph Learning.

Hande Dong, Zhaolin Ding, Xiangnan He, Fuli Feng, Shuxian Bi

CoRR, 2020

Cross-GCN: Enhancing Graph Convolutional Network with k-Order Feature Interactions.

Fuli Feng, Xiangnan He, Hanwang Zhang, Tat-Seng Chua

CoRR, 2020

Bilinear Graph Neural Network with Node Interactions.

Hongmin Zhu, Fuli Feng, Xiangnan He, Xiang Wang, Yan Li, Kai Zheng, Yongdong Zhang

CoRR, 2020

How to Retrain Recommender System?: A Sequential Meta-Learning Method.

Yang Zhang, Fuli Feng, Chenxu Wang, Xiangnan He, Meng Wang, Yan Li, Yongdong Zhang

Proceedings of the 43rd International ACM SIGIR conference on research and development in Information Retrieval, 2020

FinIR 2020: The First Workshop on Information Retrieval in Finance.

Fuli Feng, Cheng Luo, Xiangnan He, Yiqun Liu, Tat-Seng Chua

Proceedings of the 43rd International ACM SIGIR conference on research and development in Information Retrieval, 2020

Enhancing Text Classification via Discovering Additional Semantic Clues from Logograms.

Chen Qian, Fuli Feng, Lijie Wen, Li Lin, Tat-Seng Chua

Proceedings of the 43rd International ACM SIGIR conference on research and development in Information Retrieval, 2020

Heterogeneous Fusion of Semantic and Collaborative Information for Visually-Aware Food Recommendation.

Lei Meng, Fuli Feng, Xiangnan He, Xiaoyan Gao, Tat-Seng Chua

Proceedings of the MM '20: The 28th ACM International Conference on Multimedia, 2020

Bilinear Graph Neural Network with Neighbor Interactions.

Hongmin Zhu, Fuli Feng, Xiangnan He, Xiang Wang, Yan Li, Kai Zheng, Yongdong Zhang

Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

Fast Adaptation for Cold-start Collaborative Filtering with Meta-learning.

Tianxin Wei, Ziwei Wu, Ruirui Li, Ziniu Hu, Fuli Feng, Xiangnan He, Yizhou Sun, Wei Wang

Proceedings of the 20th IEEE International Conference on Data Mining, 2020

Solving Sequential Text Classification as Board-Game Playing.

Chen Qian, Fuli Feng, Lijie Wen, Zhenpeng Chen, Li Lin, Yanan Zheng, Tat-Seng Chua

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

Temporal Relational Ranking for Stock Prediction.

Fuli Feng, Xiangnan He, Xiang Wang, Cheng Luo, Yiqun Liu, Tat-Seng Chua

ACM Trans. Inf. Syst., 2019

Cross-domain Recommendation Without Sharing User-relevant Data.

Chen Gao, Xiangning Chen, Fuli Feng, Kai Zhao, Xiangnan He, Yong Li, Depeng Jin

Proceedings of the World Wide Web Conference, 2019

Interpretable Fashion Matching with Rich Attributes.

Xun Yang, Xiangnan He, Xiang Wang, Yunshan Ma, Fuli Feng, Meng Wang, Tat-Seng Chua

Proceedings of the 42nd International ACM SIGIR Conference on Research and Development in Information Retrieval, 2019

Neural Graph Collaborative Filtering.

Xiang Wang, Xiangnan He, Meng Wang, Fuli Feng, Tat-Seng Chua

Proceedings of the 42nd International ACM SIGIR Conference on Research and Development in Information Retrieval, 2019

Supervised Hierarchical Cross-Modal Hashing.

Changchang Sun, Xuemeng Song, Fuli Feng, Wayne Xin Zhao, Hao Zhang, Liqiang Nie

Proceedings of the 42nd International ACM SIGIR Conference on Research and Development in Information Retrieval, 2019

Personalized Capsule Wardrobe Creation with Garment and User Modeling.

Xue Dong, Xuemeng Song, Fuli Feng, Peiguang Jing, Xin-Shun Xu, Liqiang Nie

Proceedings of the 27th ACM International Conference on Multimedia, 2019

Enhancing Stock Movement Prediction with Adversarial Training.

Fuli Feng, Huimin Chen, Xiangnan He, Ji Ding, Maosong Sun, Tat-Seng Chua

Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

Neural Multi-task Recommendation from Multi-behavior Data.

Chen Gao, Xiangnan He, Dahua Gan, Xiangning Chen, Fuli Feng, Yong Li, Tat-Seng Chua, Depeng Jin

Proceedings of the 35th IEEE International Conference on Data Engineering, 2019

Explicit Interaction Model towards Text Classification.

Cunxiao Du, Zhaozheng Chen, Fuli Feng, Lei Zhu, Tian Gan, Liqiang Nie

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018

Improving Stock Movement Prediction with Adversarial Training.

Fuli Feng, Huimin Chen, Xiangnan He, Ji Ding, Maosong Sun, Tat-Seng Chua

CoRR, 2018

Visually-aware Collaborative Food Recommendation.

Xiaoyan Gao, Fuli Feng, Xiangnan He, Heyan Huang, Xinyu Guan, Chong Feng, Zhaoyan Ming, Tat-Seng Chua

CoRR, 2018

Learning Recommender Systems from Multi-Behavior Data.

Chen Gao, Xiangnan He, Dahua Gan, Xiangning Chen, Fuli Feng, Yong Li, Tat-Seng Chua, Depeng Jin

CoRR, 2018

TEM: Tree-enhanced Embedding Model for Explainable Recommendation.

Xiang Wang, Xiangnan He, Fuli Feng, Liqiang Nie, Tat-Seng Chua

Proceedings of the 2018 World Wide Web Conference on World Wide Web, 2018

Learning on Partial-Order Hypergraphs.

Fuli Feng, Xiangnan He, Yiqun Liu, Liqiang Nie, Tat-Seng Chua

Proceedings of the 2018 World Wide Web Conference on World Wide Web, 2018

An Improved Sampler for Bayesian Personalized Ranking by Leveraging View Data.

Jingtao Ding, Fuli Feng, Xiangnan He, Guanghui Yu, Yong Li, Depeng Jin

Proceedings of the Companion of the The Web Conference 2018 on The Web Conference 2018, 2018

Neural Compatibility Modeling with Attentive Knowledge Distillation.

Xuemeng Song, Fuli Feng, Xianjing Han, Xin Yang, Wei Liu, Liqiang Nie

Proceedings of the 41st International ACM SIGIR Conference on Research & Development in Information Retrieval, 2018

Deep Understanding of Cooking Procedure for Cross-modal Recipe Retrieval.

Jingjing Chen, Chong-Wah Ngo, Fuli Feng, Tat-Seng Chua

Proceedings of the 2018 ACM Multimedia Conference on Multimedia Conference, 2018

Quality Matters: Assessing cQA Pair Quality via Transductive Multi-View Learning.

Xiaochi Wei, Heyan Huang, Liqiang Nie, Fuli Feng, Richang Hong, Tat-Seng Chua

Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

Cross-Domain Depression Detection via Harvesting Social Media.

Tiancheng Shen, Jia Jia, Guangyao Shen, Fuli Feng, Xiangnan He, Huanbo Luan, Jie Tang, Thanassis Tiropanis, Tat-Seng Chua, Wendy Hall

Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

Discrete Factorization Machines for Fast Feature-based Recommendation.

Han Liu, Xiangnan He, Fuli Feng, Liqiang Nie, Rui Liu, Hanwang Zhang

Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

2017

Understanding inactive yet available assignees in GitHub.

Jing Jiang, David Lo, Xinyu Ma, Fuli Feng, Li Zhang

Inf. Softw. Technol., 2017

Computational Social Indicators: A Case Study of Chinese University Ranking.

Fuli Feng, Liqiang Nie, Xiang Wang, Richang Hong, Tat-Seng Chua

Proceedings of the 40th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2017

NeuroStylist: Neural Compatibility Modeling for Clothing Matching.

Xuemeng Song, Fuli Feng, Jinhuan Liu, Zekun Li, Liqiang Nie, Jun Ma

Proceedings of the 2017 ACM on Multimedia Conference, 2017

Depression Detection via Harvesting Social Media: A Multimodal Dictionary Learning Solution.

Guangyao Shen, Jia Jia, Liqiang Nie, Fuli Feng, Cunjun Zhang, Tianrui Hu, Tat-Seng Chua, Wenwu Zhu

Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017

2016

Long-Term Active Integrator Prediction in the Evaluation of Code Contributions.

Jing Jiang, Fuli Feng, Xiaoli Lian, Li Zhang

Proceedings of the 28th International Conference on Software Engineering and Knowledge Engineering, 2016