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2020 – today
- 2024
[j35]Xi Wang
, Wenjie Wang, Fuli Feng, Wenge Rong, Chuantao Yin, Zhang Xiong:
Causal Intervention for Fairness in Multibehavior Recommendation. IEEE Trans. Comput. Soc. Syst. 11(5): 6320-6332 (2024)- [j34]Penggang Qin, Shiwei Wu, Tong Xu, Yanbin Hao, Fuli Feng, Chen Zhu, Enhong Chen:
When I Fall in Love: Capturing Video-Oriented Social Relationship Evolution via Attentive GNN. IEEE Trans. Circuits Syst. Video Technol. 34(6): 5160-5175 (2024) - [j33]Shengyu Zhang, Ziqi Jiang, Jiangchao Yao, Fuli Feng, Kun Kuang, Zhou Zhao, Shuo Li, Hongxia Yang, Tat-Seng Chua, Fei Wu:
Causal Distillation for Alleviating Performance Heterogeneity in Recommender Systems. IEEE Trans. Knowl. Data Eng. 36(2): 459-474 (2024) - [j32]Xinyuan Zhu, Yang Zhang, Fuli Feng, Xun Yang, Dingxian Wang, Xiangnan He:
Mitigating Hidden Confounding Effects for Causal Recommendation. IEEE Trans. Knowl. Data Eng. 36(9): 4794-4805 (2024) - [j31]Weijian Chen, Yixin Cao, Fuli Feng, Xiangnan He, Yongdong Zhang:
HoGRN: Explainable Sparse Knowledge Graph Completion via High-Order Graph Reasoning Network. IEEE Trans. Knowl. Data Eng. 36(12): 8462-8475 (2024) - [j30]Sihao Ding, Fuli Feng, Xiangnan He, Yong Liao, Jun Shi, Yongdong Zhang:
Causal Incremental Graph Convolution for Recommender System Retraining. IEEE Trans. Neural Networks Learn. Syst. 35(4): 4718-4728 (2024) - [j29]Xun Deng, Fuli Feng, Xiang Wang, Xiangnan He, Hanwang Zhang, Tat-Seng Chua:
Learning to Double-Check Model Prediction From a Causal Perspective. IEEE Trans. Neural Networks Learn. Syst. 35(4): 5054-5063 (2024) - [j28]Wenjie Wang, Xinyu Lin, Liuhui Wang, Fuli Feng, Yunshan Ma, Tat-Seng Chua:
Causal Disentangled Recommendation against User Preference Shifts. ACM Trans. Inf. Syst. 42(1): 12:1-12:27 (2024) - [j27]Shengyu Zhang, Tan Jiang, Kun Kuang, Fuli Feng, Jin Yu, Jianxin Ma, Zhou Zhao, Jianke Zhu, Hongxia Yang, Tat-Seng Chua, Fei Wu:
SLED: Structure Learning based Denoising for Recommendation. ACM Trans. Inf. Syst. 42(2): 43:1-43:31 (2024) - [j26]Chen Gao, Yu Zheng, Wenjie Wang, Fuli Feng, Xiangnan He, Yong Li:
Causal Inference in Recommender Systems: A Survey and Future Directions. ACM Trans. Inf. Syst. 42(4): 88:1-88:32 (2024) - [j25]Shengyu Zhang, Qiaowei Miao, Ping Nie, Mengze Li, Zhengyu Chen, Fuli Feng, Kun Kuang, Fei Wu:
Transferring Causal Mechanism over Meta-representations for Target-Unknown Cross-domain Recommendation. ACM Trans. Inf. Syst. 42(4): 103:1-103:27 (2024) - [c133]Xinyu Lin, Wenjie Wang, Jujia Zhao, Yongqi Li, Fuli Feng, Tat-Seng Chua:
Temporally and Distributionally Robust Optimization for Cold-Start Recommendation. AAAI 2024: 8750-8758 - [c132]Yang Zhang, Keqin Bao, Ming Yan, Wenjie Wang, Fuli Feng, Xiangnan He:
Text-like Encoding of Collaborative Information in Large Language Models for Recommendation. ACL (1) 2024: 9181-9191 - [c131]Xiaoyuan Li, Wenjie Wang, Moxin Li, Junrong Guo, Yang Zhang, Fuli Feng:
Evaluating Mathematical Reasoning of Large Language Models: A Focus on Error Identification and Correction. ACL (Findings) 2024: 11316-11360 - [c130]Wenjie Wang, Honghui Bao, Xinyu Lin, Jizhi Zhang, Yongqi Li, Fuli Feng, See-Kiong Ng, Tat-Seng Chua:
Learnable Item Tokenization for Generative Recommendation. CIKM 2024: 2400-2409 - [c129]Tianhao Shi, Yang Zhang, Zhijian Xu, Chong Chen, Fuli Feng, Xiangnan He, Qi Tian:
Preliminary Study on Incremental Learning for Large Language Model-based Recommender Systems. CIKM 2024: 4051-4055 - [c128]Fengbin Zhu, Chao Wang, Fuli Feng, Zifeng Ren, Moxin Li, Tat-Seng Chua:
Doc2SoarGraph: Discrete Reasoning over Visually-Rich Table-Text Documents via Semantic-Oriented Hierarchical Graphs. LREC/COLING 2024: 5119-5131 - [c127]Li Yang, Qifan Wang, Jianfeng Chi, Jiahao Liu, Jingang Wang, Fuli Feng, Zenglin Xu, Yi Fang, Lifu Huang, Dongfang Liu:
EAVE: Efficient Product Attribute Value Extraction via Lightweight Sparse-layer Interaction. EMNLP (Findings) 2024: 1491-1505 - [c126]Wentao Shi, Mengqi Yuan, Junkang Wu, Qifan Wang, Fuli Feng:
Direct Multi-Turn Preference Optimization for Language Agents. EMNLP 2024: 2312-2324 - [c125]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:
M²PT: Multimodal Prompt Tuning for Zero-shot Instruction Learning. EMNLP 2024: 3723-3740 - [c124]Keqin Bao, Jizhi Zhang, Yang Zhang, Xinyue Huo, Chong Chen, Fuli Feng:
Decoding Matters: Addressing Amplification Bias and Homogeneity Issue in Recommendations for Large Language Models. EMNLP 2024: 10540-10552 - [c123]Moxin Li, Wenjie Wang, Fuli Feng, Fengbin Zhu, Qifan Wang, Tat-Seng Chua:
Think Twice Before Trusting: Self-Detection for Large Language Models through Comprehensive Answer Reflection. EMNLP (Findings) 2024: 11858-11875 - [c122]Muchen Yang, Moxin Li, Yongle Li, Zijun Chen, Chongming Gao, Junqi Zhang, Yangyang Li, Fuli Feng:
Dual-Phase Accelerated Prompt Optimization. EMNLP (Findings) 2024: 12163-12173 - [c121]Fengbin Zhu, Ziyang Liu, Fuli Feng, Chao Wang, Moxin Li, Tat-Seng Chua:
TAT-LLM: A Specialized Language Model for Discrete Reasoning over Financial Tabular and Textual Data. ICAIF 2024: 310-318 - [c120]Haoxuan Li, Chunyuan Zheng, Sihao Ding, Peng Wu, Zhi Geng, Fuli Feng, Xiangnan He:
Be Aware of the Neighborhood Effect: Modeling Selection Bias under Interference. ICLR 2024 - [c119]Xun Deng, Junlong Liu, Han Zhong, Fuli Feng, Chen Shen, Xiangnan He, Jieping Ye, Zheng Wang:
A3S: A General Active Clustering Method with Pairwise Constraints. ICML 2024 - [c118]Jinqiu Jin, Haoxuan Li, Fuli Feng:
On the Maximal Local Disparity of Fairness-Aware Classifiers. ICML 2024 - [c117]Haoxuan Li, Chunyuan Zheng, Wenjie Wang, Hao Wang, Fuli Feng, Xiao-Hua Zhou:
Debiased Recommendation with Noisy Feedback. KDD 2024: 1576-1586 - [c116]Xinyu Lin, Wenjie Wang, Yongqi Li, Fuli Feng, See-Kiong Ng, Tat-Seng Chua:
Bridging Items and Language: A Transition Paradigm for Large Language Model-Based Recommendation. KDD 2024: 1816-1826 - [c115]Yimeng Bai, Yang Zhang, Fuli Feng, Jing Lu, Xiaoxue Zang, Chenyi Lei, Yang Song:
GradCraft: Elevating Multi-task Recommendations through Holistic Gradient Crafting. KDD 2024: 4774-4783 - [c114]Xinyu Lin, Wenjie Wang, Yongqi Li, Shuo Yang, Fuli Feng, Yinwei Wei, Tat-Seng Chua:
Data-efficient Fine-tuning for LLM-based Recommendation. SIGIR 2024: 365-374 - [c113]Tianhao Shi, Yang Zhang, Jizhi Zhang, Fuli Feng, Xiangnan He:
Fair Recommendations with Limited Sensitive Attributes: A Distributionally Robust Optimization Approach. SIGIR 2024: 448-457 - [c112]Zihao Zhao, Yi Jing, Fuli Feng, Jiancan Wu, Chongming Gao, Xiangnan He:
Leave No Patient Behind: Enhancing Medication Recommendation for Rare Disease Patients. SIGIR 2024: 533-542 - [c111]Yiyan Xu, Wenjie Wang, Fuli Feng, Yunshan Ma, Jizhi Zhang, Xiangnan He:
Diffusion Models for Generative Outfit Recommendation. SIGIR 2024: 1350-1359 - [c110]Jujia Zhao, Wenjie Wang, Yiyan Xu, Teng Sun, Fuli Feng, Tat-Seng Chua:
Denoising Diffusion Recommender Model. SIGIR 2024: 1370-1379 - [c109]Wentao Shi, Xiangnan He, Yang Zhang, Chongming Gao, Xinyue Li, Jizhi Zhang, Qifan Wang, Fuli Feng:
Large Language Models are Learnable Planners for Long-Term Recommendation. SIGIR 2024: 1893-1903 - [c108]Keqin Bao, Jizhi Zhang, Xinyu Lin, Yang Zhang, Wenjie Wang, Fuli Feng:
Large Language Models for Recommendation: Past, Present, and Future. SIGIR 2024: 2993-2996 - [c107]Yimeng Bai, Yang Zhang, Jing Lu, Jianxin Chang, Xiaoxue Zang, Yanan Niu, Yang Song, Fuli Feng:
LabelCraft: Empowering Short Video Recommendations with Automated Label Crafting. WSDM 2024: 28-37 - [c106]Jinqiu Jin, Sihao Ding, Wenjie Wang, Fuli Feng:
Understanding and Counteracting Feature-Level Bias in Click-Through Rate Prediction. WWW (Companion Volume) 2024: 838-841 - [c105]Shuxian Bi, Wenjie Wang, Hang Pan, Fuli Feng, Xiangnan He:
Proactive Recommendation with Iterative Preference Guidance. WWW (Companion Volume) 2024: 871-874 - [c104]Xinyuan Zhu, Xiaohan Ren, Wentao Shi, Changming Wang, Xuehan Liu, Yuqing Liu, Tao Tao, Fuli Feng:
Improving Prostate Cancer Risk Prediction through Partial AUC Optimization. WWW (Companion Volume) 2024: 1170-1173 - [c103]Jizhi Zhang, Keqin Bao, Yang Zhang, Wenjie Wang, Fuli Feng, Xiangnan He:
Large Language Models for Recommendation: Progresses and Future Directions. WWW (Companion Volume) 2024: 1268-1271 - [c102]Wenjie Wang, Yang Zhang, Xinyu Lin, Fuli Feng, Weiwen Liu, Yong Liu, Xiangyu Zhao, Wayne Xin Zhao, Yang Song, Xiangnan He:
The 2nd Workshop on Recommendation with Generative Models. WWW (Companion Volume) 2024: 1715-1718 - [c101]Wentao Shi, Chenxu Wang, Fuli Feng, Yang Zhang, Wenjie Wang, Junkang Wu, Xiangnan He:
Lower-Left Partial AUC: An Effective and Efficient Optimization Metric for Recommendation. WWW 2024: 3253-3264 - [c100]Wenjie Wang, Changsheng Wang, Fuli Feng, Wentao Shi, Daizong Ding, Tat-Seng Chua:
Uplift Modeling for Target User Attacks on Recommender Systems. WWW 2024: 3343-3354 - [c99]Meng Jiang, Keqin Bao, Jizhi Zhang, Wenjie Wang, Zhengyi Yang, Fuli Feng, Xiangnan He:
Item-side Fairness of Large Language Model-based Recommendation System. WWW 2024: 4717-4726 - [i117]Jujia Zhao, Wenjie Wang, Yiyan Xu, Teng Sun, Fuli Feng:
Plug-In Diffusion Model for Embedding Denoising in Recommendation System. CoRR abs/2401.06982 (2024) - [i116]Fengbin Zhu, Ziyang Liu, Fuli Feng, Chao Wang, Moxin Li, Tat-Seng Chua:
TAT-LLM: A Specialized Language Model for Discrete Reasoning over Tabular and Textual Data. CoRR abs/2401.13223 (2024) - [i115]Xinyu Lin, Wenjie Wang, Yongqi Li, Shuo Yang, Fuli Feng, Yinwei Wei, Tat-Seng Chua:
Data-efficient Fine-tuning for LLM-based Recommendation. CoRR abs/2401.17197 (2024) - [i114]Jinqiu Jin, Sihao Ding, Wenjie Wang, Fuli Feng:
Understanding and Counteracting Feature-Level Bias in Click-Through Rate Prediction. CoRR abs/2402.03600 (2024) - [i113]Meng Jiang, Keqin Bao, Jizhi Zhang, Wenjie Wang, Zhengyi Yang, Fuli Feng, Xiangnan He:
Item-side Fairness of Large Language Model-based Recommendation System. CoRR abs/2402.15215 (2024) - [i112]Yiyan Xu, Wenjie Wang, Fuli Feng, Yunshan Ma, Jizhi Zhang, Xiangnan He:
DiFashion: Towards Personalized Outfit Generation and Recommendation. CoRR abs/2402.17279 (2024) - [i111]Jizhi Zhang, Keqin Bao, Wenjie Wang, Yang Zhang, Wentao Shi, Wanhong Xu, Fuli Feng, Tat-Seng Chua:
Prospect Personalized Recommendation on Large Language Model-based Agent Platform. CoRR abs/2402.18240 (2024) - [i110]Wentao Shi, Xiangnan He, Yang Zhang, Chongming Gao, Xinyue Li, Jizhi Zhang, Qifan Wang, Fuli Feng:
Enhancing Long-Term Recommendation with Bi-level Learnable Large Language Model Planning. CoRR abs/2403.00843 (2024) - [i109]Wentao Shi, Chenxu Wang, Fuli Feng, Yang Zhang, Wenjie Wang, Junkang Wu, Xiangnan He:
Lower-Left Partial AUC: An Effective and Efficient Optimization Metric for Recommendation. CoRR abs/2403.00844 (2024) - [i108]Wenjie Wang, Changsheng Wang, Fuli Feng, Wentao Shi, Daizong Ding, Tat-Seng Chua:
Uplift Modeling for Target User Attacks on Recommender Systems. CoRR abs/2403.02692 (2024) - [i107]Wenjie Wang, Yang Zhang, Xinyu Lin, Fuli Feng, Weiwen Liu, Yong Liu, Xiangyu Zhao, Wayne Xin Zhao, Yang Song, Xiangnan He:
The 2nd Workshop on Recommendation with Generative Models. CoRR abs/2403.04399 (2024) - [i106]Shuxian Bi, Wenjie Wang, Hang Pan, Fuli Feng, Xiangnan He:
Proactive Recommendation with Iterative Preference Guidance. CoRR abs/2403.07571 (2024) - [i105]Moxin Li, Wenjie Wang, Fuli Feng, Fengbin Zhu, Qifan Wang, Tat-Seng Chua:
Think Twice Before Assure: Confidence Estimation for Large Language Models through Reflection on Multiple Answers. CoRR abs/2403.09972 (2024) - [i104]Zihao Zhao, Yi Jing, Fuli Feng, Jiancan Wu, Chongming Gao, Xiangnan He:
Leave No Patient Behind: Enhancing Medication Recommendation for Rare Disease Patients. CoRR abs/2403.17745 (2024) - [i103]Zhiyu Hu, Yang Zhang, Minghao Xiao, Wenjie Wang, Fuli Feng, Xiangnan He:
Exact and Efficient Unlearning for Large Language Model-based Recommendation. CoRR abs/2404.10327 (2024) - [i102]Yongqi Li, Xinyu Lin, Wenjie Wang, Fuli Feng, Liang Pang, Wenjie Li, Liqiang Nie, Xiangnan He, Tat-Seng Chua:
A Survey of Generative Search and Recommendation in the Era of Large Language Models. CoRR abs/2404.16924 (2024) - [i101]Haoxuan Li, Chunyuan Zheng, Sihao Ding, Peng Wu, Zhi Geng, Fuli Feng, Xiangnan He:
Be Aware of the Neighborhood Effect: Modeling Selection Bias under Interference. CoRR abs/2404.19620 (2024) - [i100]Tianhao Shi, Yang Zhang, Jizhi Zhang, Fuli Feng, Xiangnan He:
Fair Recommendations with Limited Sensitive Attributes: A Distributionally Robust Optimization Approach. CoRR abs/2405.01063 (2024) - [i99]Wenjie Wang, Honghui Bao, Xilin Chen, Jizhi Zhang, Yongqi Li, Fuli Feng, See-Kiong Ng, Tat-Seng Chua:
Learnable Tokenizer for LLM-based Generative Recommendation. CoRR abs/2405.07314 (2024) - [i98]Shengyu Zhang, Ziqi Jiang, Jiangchao Yao, Fuli Feng, Kun Kuang, Zhou Zhao, Shuo Li, Hongxia Yang, Tat-Seng Chua, Fei Wu:
Causal Distillation for Alleviating Performance Heterogeneity in Recommender Systems. CoRR abs/2405.20626 (2024) - [i97]Xiaoyuan Li, Wenjie Wang, Moxin Li, Junrong Guo, Yang Zhang, Fuli Feng:
Evaluating Mathematical Reasoning of Large Language Models: A Focus on Error Identification and Correction. CoRR abs/2406.00755 (2024) - [i96]Yang Zhang, Keqin Bao, Ming Yang, Wenjie Wang, Fuli Feng, Xiangnan He:
Text-like Encoding of Collaborative Information in Large Language Models for Recommendation. CoRR abs/2406.03210 (2024) - [i95]Jinqiu Jin, Haoxuan Li, Fuli Feng:
On the Maximal Local Disparity of Fairness-Aware Classifiers. CoRR abs/2406.03255 (2024) - [i94]Li Yang, Qifan Wang, Jianfeng Chi, Jiahao Liu, Jingang Wang, Fuli Feng, Zenglin Xu, Yi Fang, Lifu Huang, Dongfang Liu:
EAVE: Efficient Product Attribute Value Extraction via Lightweight Sparse-layer Interaction. CoRR abs/2406.06839 (2024) - [i93]Boyi Deng, Wenjie Wang, Fengbin Zhu, Qifan Wang, Fuli Feng:
CrAM: Credibility-Aware Attention Modification in LLMs for Combating Misinformation in RAG. CoRR abs/2406.11497 (2024) - [i92]Yi Fang, Moxin Li, Wenjie Wang, Hui Lin, Fuli Feng:
Counterfactual Debating with Preset Stances for Hallucination Elimination of LLMs. CoRR abs/2406.11514 (2024) - [i91]Muchen Yang, Moxin Li, Yongle Li, Zijun Chen, Chongming Gao, Junqi Zhang, Yangyang Li, Fuli Feng:
Dual-Phase Accelerated Prompt Optimization. CoRR abs/2406.13443 (2024) - [i90]Wentao Shi, Mengqi Yuan, Junkang Wu, Qifan Wang, Fuli Feng:
Direct Multi-Turn Preference Optimization for Language Agents. CoRR abs/2406.14868 (2024) - [i89]Keqin Bao, Jizhi Zhang, Yang Zhang, Xinyue Huo, Chong Chen, Fuli Feng:
Decoding Matters: Addressing Amplification Bias and Homogeneity Issue for LLM-based Recommendation. CoRR abs/2406.14900 (2024) - [i88]Haoxuan Li, Chunyuan Zheng, Wenjie Wang, Hao Wang, Fuli Feng, Xiao-Hua Zhou:
Debiased Recommendation with Noisy Feedback. CoRR abs/2406.17182 (2024) - [i87]Xun Deng, Junlong Liu, Han Zhong, Fuli Feng, Chen Shen, Xiangnan He, Jieping Ye, Zheng Wang:
A3S: A General Active Clustering Method with Pairwise Constraints. CoRR abs/2407.10196 (2024) - [i86]Ouxiang Li, Yanbin Hao, Zhicai Wang, Bin Zhu, Shuo Wang, Zaixi Zhang, Fuli Feng:
Model Inversion Attacks Through Target-Specific Conditional Diffusion Models. CoRR abs/2407.11424 (2024) - [i85]Yimeng Bai, Yang Zhang, Fuli Feng, Jing Lu, Xiaoxue Zang, Chenyi Lei, Yang Song:
GradCraft: Elevating Multi-task Recommendations through Holistic Gradient Crafting. CoRR abs/2407.19682 (2024) - [i84]Ouxiang Li, Jiayin Cai, Yanbin Hao, Xiaolong Jiang, Yao Hu, Fuli Feng:
Improving Synthetic Image Detection Towards Generalization: An Image Transformation Perspective. CoRR abs/2408.06741 (2024) - [i83]Chengbing Wang, Wentao Shi, Jizhi Zhang, Wenjie Wang, Hang Pan, Fuli Feng:
Debias Can be Unreliable: Mitigating Bias Issue in Evaluating Debiasing Recommendation. CoRR abs/2409.04810 (2024) - [i82]Mingze Wang, Shuxian Bi, Wenjie Wang, Chongming Gao, Yangyang Li, Fuli Feng:
Incorporate LLMs with Influential Recommender System. CoRR abs/2409.04827 (2024) - [i81]Haokai Ma, Ruobing Xie, Lei Meng, Fuli Feng, Xiaoyu Du, Xingwu Sun, Zhanhui Kang, Xiangxu Meng:
Negative Sampling in Recommendation: A Survey and Future Directions. CoRR abs/2409.07237 (2024) - [i80]Hang Pan, Shuxian Bi, Wenjie Wang, Haoxuan Li, Peng Wu, Fuli Feng, Xiangnan He:
Proactive Recommendation in Social Networks: Steering User Interest via Neighbor Influence. CoRR abs/2409.08934 (2024) - [i79]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:
M2PT: Multimodal Prompt Tuning for Zero-shot Instruction Learning. CoRR abs/2409.15657 (2024) - [i78]Xinyu Lin, Chaoqun Yang, Wenjie Wang, Yongqi Li, Cunxiao Du, Fuli Feng, See-Kiong Ng, Tat-Seng Chua:
Efficient Inference for Large Language Model-based Generative Recommendation. CoRR abs/2410.05165 (2024) - [i77]Yiyan Xu, Wenjie Wang, Yang Zhang, Tang Biao, Peng Yan, Fuli Feng, Xiangnan He:
Personalized Image Generation with Large Multimodal Models. CoRR abs/2410.14170 (2024) - [i76]Shihao Cai, Jizhi Zhang, Keqin Bao, Chongming Gao, Fuli Feng:
FLOW: A Feedback LOop FrameWork for Simultaneously Enhancing Recommendation and User Agents. CoRR abs/2410.20027 (2024) - [i75]Fengbin Zhu, Ziyang Liu, Xiang Yao Ng, Haohui Wu, Wenjie Wang, Fuli Feng, Chao Wang, Huanbo Luan, Tat-Seng Chua:
MMDocBench: Benchmarking Large Vision-Language Models for Fine-Grained Visual Document Understanding. CoRR abs/2410.21311 (2024) - [i74]Keqin Bao, Ming Yang, Yang Zhang, Jizhi Zhang, Wenjie Wang, Fuli Feng, Xiangnan He:
Real-Time Personalization for LLM-based Recommendation with Customized In-Context Learning. CoRR abs/2410.23136 (2024) - 2023
- [j24]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:
Information Retrieval meets Large Language Models: A strategic report from Chinese IR community. AI Open 4: 80-90 (2023) - [j23]Zeyu Yang, Jizhi Zhang, Fuli Feng, Chongming Gao, Qifan Wang, Xiangnan He:
Interactive active learning for fairness with partial group label. AI Open 4: 175-182 (2023) - [j22]Xin-Yu Lin, Yiyan Xu, Wenjie Wang, Yang Zhang, Fuli Feng:
Mitigating Spurious Correlations for Self-supervised Recommendation. Mach. Intell. Res. 20(2): 263-275 (2023) - [j21]Xiang Wang, Yingxin Wu, An Zhang, Fuli Feng, Xiangnan He, Tat-Seng Chua:
Reinforced Causal Explainer for Graph Neural Networks. IEEE Trans. Pattern Anal. Mach. Intell. 45(2): 2297-2309 (2023) - [j20]Shengyu Zhang, Fuli Feng, Kun Kuang, Wenqiao Zhang, Zhou Zhao, Hongxia Yang, Tat-Seng Chua, Fei Wu:
Personalized Latent Structure Learning for Recommendation. IEEE Trans. Pattern Anal. Mach. Intell. 45(8): 10285-10299 (2023) - [j19]Chenxu Wang, Fuli Feng, Yang Zhang, Qifan Wang, Xunhan Hu, Xiangnan He:
Rethinking Missing Data: Aleatoric Uncertainty-Aware Recommendation. IEEE Trans. Big Data 9(6): 1607-1619 (2023) - [j18]Fuli Feng, Xiangnan He, Hanwang Zhang, Tat-Seng Chua:
Cross-GCN: Enhancing Graph Convolutional Network with $k$k-Order Feature Interactions. IEEE Trans. Knowl. Data Eng. 35(1): 225-236 (2023) - [j17]Weijian Chen, Fuli Feng, Qifan Wang, Xiangnan He, Chonggang Song, Guohui Ling, Yongdong Zhang:
CatGCN: Graph Convolutional Networks With Categorical Node Features. IEEE Trans. Knowl. Data Eng. 35(4): 3500-3511 (2023) - [j16]Xiangnan He, Yang Zhang, Fuli Feng, Chonggang Song, Lingling Yi, Guohui Ling, Yongdong Zhang:
Addressing Confounding Feature Issue for Causal Recommendation. ACM Trans. Inf. Syst. 41(3): 53:1-53:23 (2023) - [j15]Jiawei Chen, Hande Dong, Xiang Wang, Fuli Feng, Meng Wang, Xiangnan He:
Bias and Debias in Recommender System: A Survey and Future Directions. ACM Trans. Inf. Syst. 41(3): 67:1-67:39 (2023) - [c98]Daizong Ding, Mi Zhang, Fuli Feng, Yuanmin Huang, Erling Jiang, Min Yang:
Black-Box Adversarial Attack on Time Series Classification. AAAI 2023: 7358-7368 - [c97]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:
Video-Audio Domain Generalization via Confounder Disentanglement. AAAI 2023: 15322-15330 - [c96]Moxin Li, Wenjie Wang, Fuli Feng, Hanwang Zhang, Qifan Wang, Tat-Seng Chua:
Hypothetical Training for Robust Machine Reading Comprehension of Tabular Context. ACL (Findings) 2023: 1220-1236 - [c95]Qifan Wang, Jingang Wang, Xiaojun Quan, Fuli Feng, Zenglin Xu, Shaoliang Nie, Sinong Wang, Madian Khabsa, Hamed Firooz, Dongfang Liu:
MUSTIE: Multimodal Structural Transformer for Web Information Extraction. ACL (1) 2023: 2405-2420 - [c94]Li Yang, Qifan Wang, Jingang Wang, Xiaojun Quan, Fuli Feng, Yu Chen, Madian Khabsa, Sinong Wang, Zenglin Xu, Dongfang Liu:
MixPAVE: Mix-Prompt Tuning for Few-shot Product Attribute Value Extraction. ACL (Findings) 2023: 9978-9991 - [c93]Xun Deng, Wenjie Wang, Fuli Feng, Hanwang Zhang, Xiangnan He, Yong Liao:
Counterfactual Active Learning for Out-of-Distribution Generalization. ACL (1) 2023: 11362-11377 - [c92]Yang Zhang, Yimeng Bai, Jianxin Chang, Xiaoxue Zang, Song Lu, Jing Lu, Fuli Feng, Yanan Niu, Yang Song:
Leveraging Watch-time Feedback for Short-Video Recommendations: A Causal Labeling Framework. CIKM 2023: 4952-4959 - [c91]Wenjie Wang, Yong Liu, Yang Zhang, Weiwen Liu, Fuli Feng, Xiangnan He, Aixin Sun:
The 1st Workshop on Recommendation with Generative Models. CIKM 2023: 5300-5303 - [c90]Moxin Li, Wenjie Wang, Fuli Feng, Yixin Cao, Jizhi Zhang, Tat-Seng Chua:
Robust Prompt Optimization for Large Language Models Against Distribution Shifts. EMNLP 2023: 1539-1554 - [c89]Boyi Deng, Wenjie Wang, Fuli Feng, Yang Deng, Qifan Wang, Xiangnan He:
Attack Prompt Generation for Red Teaming and Defending Large Language Models. EMNLP (Findings) 2023: 2176-2189 - [c88]Jaehyung Kim, Yuning Mao, Rui Hou, Hanchao Yu, Davis Liang, Pascale Fung, Qifan Wang, Fuli Feng, Lifu Huang, Madian Khabsa:
RoAST: Robustifying Language Models via Adversarial Perturbation with Selective Training. EMNLP (Findings) 2023: 3412-3444 - [c87]Qifan Wang, Yuning Mao, Jingang Wang, Hanchao Yu, Shaoliang Nie, Sinong Wang, Fuli Feng, Lifu Huang, Xiaojun Quan, Zenglin Xu, Dongfang Liu:
APrompt: Attention Prompt Tuning for Efficient Adaptation of Pre-trained Language Models. EMNLP 2023: 9147-9160 - [c86]Meng Jiang, Yang Zhang, Yuan Gao, Yansong Wang, Fuli Feng, Xiangnan He:
LightMIRM: Light Meta-learned Invariant Risk Minimization for Trustworthy Loan Default Prediction. ICDE 2023: 3494-3507 - [c85]Hang Pan, Jiawei Chen, Fuli Feng, Wentao Shi, Junkang Wu, Xiangnan He:
Discriminative-Invariant Representation Learning for Unbiased Recommendation. IJCAI 2023: 2270-2278 - [c84]Yang Liu, Xiang Ao, Fuli Feng, Yunshan Ma, Kuan Li, Tat-Seng Chua, Qing He:
FLOOD: A Flexible Invariant Learning Framework for Out-of-Distribution Generalization on Graphs. KDD 2023: 1548-1558 - [c83]Shengyu Zhang, Yunze Tong, Kun Kuang, Fuli Feng, Jiezhong Qiu, Jin Yu, Zhou Zhao, Hongxia Yang, Zhongfei Zhang, Fei Wu:
Stable Prediction on Graphs with Agnostic Distribution Shifts. CDPD 2023: 49-74 - [c82]Wenjie Wang, Xinyu Lin, Liuhui Wang, Fuli Feng, Yinwei Wei, Tat-Seng Chua:
Equivariant Learning for Out-of-Distribution Cold-start Recommendation. ACM Multimedia 2023: 903-914 - [c81]Wei Ji, Renjie Liang, Lizi Liao, Hao Fei, Fuli Feng:
Partial Annotation-based Video Moment Retrieval via Iterative Learning. ACM Multimedia 2023: 4330-4339 - [c80]Jinqiu Jin, Haoxuan Li, Fuli Feng, Sihao Ding, Peng Wu, Xiangnan He:
Fairly Recommending with Social Attributes: A Flexible and Controllable Optimization Approach. NeurIPS 2023 - [c79]Haoxuan Li, Kunhan Wu, Chunyuan Zheng, Yanghao Xiao, Hao Wang, Zhi Geng, Fuli Feng, Xiangnan He, Peng Wu:
Removing Hidden Confounding in Recommendation: A Unified Multi-Task Learning Approach. NeurIPS 2023 - [c78]Changsheng Wang, Jianbai Ye, Wenjie Wang, Chongming Gao, Fuli Feng, Xiangnan He:
RecAD: Towards A Unified Library for Recommender Attack and Defense. RecSys 2023: 234-244 - [c77]Haoxuan Li, Taojun Hu, Zetong Xiong, Chunyuan Zheng, Fuli Feng, Xiangnan He, Xiao-Hua Zhou:
ADRNet: A Generalized Collaborative Filtering Framework Combining Clinical and Non-Clinical Data for Adverse Drug Reaction Prediction. RecSys 2023: 682-687 - [c76]Jizhi Zhang, Keqin Bao, Yang Zhang, Wenjie Wang, Fuli Feng, Xiangnan He:
Is ChatGPT Fair for Recommendation? Evaluating Fairness in Large Language Model Recommendation. RecSys 2023: 993-999 - [c75]Keqin Bao, Jizhi Zhang, Yang Zhang, Wenjie Wang, Fuli Feng, Xiangnan He:
TALLRec: An Effective and Efficient Tuning Framework to Align Large Language Model with Recommendation. RecSys 2023: 1007-1014 - [c74]Wenjie Wang, Yiyan Xu, Fuli Feng, Xinyu Lin, Xiangnan He, Tat-Seng Chua:
Diffusion Recommender Model. SIGIR 2023: 832-841 - [c73]Yang Zhang, Tianhao Shi, Fuli Feng, Wenjie Wang, Dingxian Wang, Xiangnan He, Yongdong Zhang:
Reformulating CTR Prediction: Learning Invariant Feature Interactions for Recommendation. SIGIR 2023: 1386-1395 - [c72]Yulong Huang, Yang Zhang, Qifan Wang, Chenxu Wang, Fuli Feng:
Prediction then Correction: An Abductive Prediction Correction Method for Sequential Recommendation. SIGIR 2023: 2272-2276 - [c71]Wenjie Wang, Yang Zhang, Haoxuan Li, Peng Wu, Fuli Feng, Xiangnan He:
Causal Recommendation: Progresses and Future Directions. SIGIR 2023: 3432-3435 - [c70]Keqin Bao, Jizhi Zhang, Yang Zhang, Wenjie Wang, Fuli Feng, Xiangnan He:
Large Language Models for Recommendation: Progresses and Future Directions. SIGIR-AP 2023: 306-309 - [c69]Wei Cai, Fuli Feng, Qifan Wang, Tian Yang, Zhenguang Liu, Congfu Xu:
A Causal View for Item-level Effect of Recommendation on User Preference. WSDM 2023: 240-248 - [c68]Gang Chen, Jiawei Chen, Fuli Feng, Sheng Zhou, Xiangnan He:
Unbiased Knowledge Distillation for Recommendation. WSDM 2023: 976-984 - [c67]Wentao Shi, Jiawei Chen, Fuli Feng, Jizhi Zhang, Junkang Wu, Chongming Gao, Xiangnan He:
On the Theories Behind Hard Negative Sampling for Recommendation. WWW 2023: 812-822 - [c66]Xiaoyu You, Chi Li, Daizong Ding, Mi Zhang, Fuli Feng, Xudong Pan, Min Yang:
Anti-FakeU: Defending Shilling Attacks on Graph Neural Network based Recommender Model. WWW 2023: 938-948 - [c65]Fengbin Zhu, Moxin Li, Junbin Xiao, Fuli Feng, Chao Wang, Tat-Seng Chua:
SoarGraph: Numerical Reasoning over Financial Table-Text Data via Semantic-Oriented Hierarchical Graphs. WWW (Companion Volume) 2023: 1236-1244 - [c64]Xiaoyu You, Beina Sheng, Daizong Ding, Mi Zhang, Xudong Pan, Min Yang, Fuli Feng:
MaSS: Model-agnostic, Semantic and Stealthy Data Poisoning Attack on Knowledge Graph Embedding. WWW 2023: 2000-2010 - [i73]Wentao Shi, Jiawei Chen, Fuli Feng, Jizhi Zhang, Junkang Wu, Chongming Gao, Xiangnan He:
On the Theories Behind Hard Negative Sampling for Recommendation. CoRR abs/2302.03472 (2023) - [i72]Wenjie Wang, Xinyu Lin, Liuhui Wang, Fuli Feng, Yunshan Ma, Tat-Seng Chua:
Causal Disentangled Recommendation Against User Preference Shifts. CoRR abs/2303.16068 (2023) - [i71]Wenjie Wang, Xinyu Lin, Fuli Feng, Xiangnan He, Tat-Seng Chua:
Generative Recommendation: Towards Next-generation Recommender Paradigm. CoRR abs/2304.03516 (2023) - [i70]Wenjie Wang, Yiyan Xu, Fuli Feng, Xinyu Lin, Xiangnan He, Tat-Seng Chua:
Diffusion Recommender Model. CoRR abs/2304.04971 (2023) - [i69]Yang Zhang, Tianhao Shi, Fuli Feng, Wenjie Wang, Dingxian Wang, Xiangnan He, Yongdong Zhang:
Reformulating CTR Prediction: Learning Invariant Feature Interactions for Recommendation. CoRR abs/2304.13643 (2023) - [i68]Yulong Huang, Yang Zhang, Qifan Wang, Chenxu Wang, Fuli Feng:
Prediction then Correction: An Abductive Prediction Correction Method for Sequential Recommendation. CoRR abs/2304.14050 (2023) - [i67]Keqin Bao, Jizhi Zhang, Yang Zhang, Wenjie Wang, Fuli Feng, Xiangnan He:
TALLRec: An Effective and Efficient Tuning Framework to Align Large Language Model with Recommendation. CoRR abs/2305.00447 (2023) - [i66]Fengbin Zhu, Chao Wang, Fuli Feng, Zifeng Ren, Moxin Li, Tat-Seng Chua:
Doc2SoarGraph: Discrete Reasoning over Visually-Rich Table-Text Documents with Semantic-Oriented Hierarchical Graphs. CoRR abs/2305.01938 (2023) - [i65]Jizhi Zhang, Keqin Bao, Yang Zhang, Wenjie Wang, Fuli Feng, Xiangnan He:
Is ChatGPT Fair for Recommendation? Evaluating Fairness in Large Language Model Recommendation. CoRR abs/2305.07609 (2023) - [i64]Moxin Li, Wenjie Wang, Fuli Feng, Jizhi Zhang, Tat-Seng Chua:
Robust Instruction Optimization for Large Language Models with Distribution Shifts. CoRR abs/2305.13954 (2023) - [i63]Yang Zhang, Yimeng Bai, Jianxin Chang, Xiaoxue Zang, Song Lu, Jing Lu, Fuli Feng, Yanan Niu, Yang Song:
Leveraging Watch-time Feedback for Short-Video Recommendations: A Causal Labeling Framework. CoRR abs/2306.17426 (2023) - [i62]Yang Zhang, Zhiyu Hu, Yimeng Bai, Fuli Feng, Jiancan Wu, Qifan Wang, Xiangnan He:
Recommendation Unlearning via Influence Function. CoRR abs/2307.02147 (2023) - [i61]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:
Information Retrieval Meets Large Language Models: A Strategic Report from Chinese IR Community. CoRR abs/2307.09751 (2023) - [i60]Haoxuan Li, Taojun Hu, Zetong Xiong, Chunyuan Zheng, Fuli Feng, Xiangnan He, Xiao-Hua Zhou:
ADRNet: A Generalized Collaborative Filtering Framework Combining Clinical and Non-Clinical Data for Adverse Drug Reaction Prediction. CoRR abs/2308.02571 (2023) - [i59]Keqin Bao, Jizhi Zhang, Wenjie Wang, Yang Zhang, Zhengyi Yang, Yancheng Luo, Fuli Feng, Xiangnan He, Qi Tian:
A Bi-Step Grounding Paradigm for Large Language Models in Recommendation Systems. CoRR abs/2308.08434 (2023) - [i58]Yu Wang, Xin Xin, Zaiqiao Meng, Xiangnan He, Joemon M. Jose, Fuli Feng:
Label Denoising through Cross-Model Agreement. CoRR abs/2308.13976 (2023) - [i57]Changsheng Wang, Jianbai Ye, Wenjie Wang, Chongming Gao, Fuli Feng, Xiangnan He:
RecAD: Towards A Unified Library for Recommender Attack and Defense. CoRR abs/2309.04884 (2023) - [i56]Xinyu Lin, Wenjie Wang, Yongqi Li, Fuli Feng, See-Kiong Ng, Tat-Seng Chua:
A Multi-facet Paradigm to Bridge Large Language Model and Recommendation. CoRR abs/2310.06491 (2023) - [i55]Boyi Deng, Wenjie Wang, Fuli Feng, Yang Deng, Qifan Wang, Xiangnan He:
Attack Prompt Generation for Red Teaming and Defending Large Language Models. CoRR abs/2310.12505 (2023) - [i54]Yang Zhang, Fuli Feng, Jizhi Zhang, Keqin Bao, Qifan Wang, Xiangnan He:
CoLLM: Integrating Collaborative Embeddings into Large Language Models for Recommendation. CoRR abs/2310.19488 (2023) - [i53]Jaehyung Kim, Yuning Mao, Rui Hou, Hanchao Yu, Davis Liang, Pascale Fung, Qifan Wang, Fuli Feng, Lifu Huang, Madian Khabsa:
RoAST: Robustifying Language Models via Adversarial Perturbation with Selective Training. CoRR abs/2312.04032 (2023) - [i52]Xinyu Lin, Wenjie Wang, Jujia Zhao, Yongqi Li, Fuli Feng, Tat-Seng Chua:
Temporally and Distributionally Robust Optimization for Cold-start Recommendation. CoRR abs/2312.09901 (2023) - [i51]Yimeng Bai, Yang Zhang, Jing Lu, Jianxin Chang, Xiaoxue Zang, Yanan Niu, Yang Song, Fuli Feng:
LabelCraft: Empowering Short Video Recommendations with Automated Label Crafting. CoRR abs/2312.10947 (2023) - [i50]Tianhao Shi, Yang Zhang, Zhijian Xu, Chong Chen, Fuli Feng, Xiangnan He, Qi Tian:
Preliminary Study on Incremental Learning for Large Language Model-based Recommender Systems. CoRR abs/2312.15599 (2023) - 2022
- [j14]Dengyun Xu, Xuanjing Shen, Yingda Lyu, Xiaoyu Du, Fuli Feng:
MC-Net: Learning mutually-complementary features for image manipulation localization. Int. J. Intell. Syst. 37(5): 3072-3089 (2022) - [j13]Xiaoyan Gao, Fuli Feng, Heyan Huang, Xian-Ling Mao, Tian Lan, Zewen Chi:
Food recommendation with graph convolutional network. Inf. Sci. 584: 170-183 (2022) - [j12]Chen Gao, Yong Li, Fuli Feng, Xiangning Chen, Kai Zhao, Xiangnan He, Depeng Jin:
Cross-domain Recommendation with Bridge-Item Embeddings. ACM Trans. Knowl. Discov. Data 16(1): 2:1-2:23 (2022) - [j11]Teng Sun, Chun Wang, Xuemeng Song, Fuli Feng, Liqiang Nie:
Response Generation by Jointly Modeling Personalized Linguistic Styles and Emotions. ACM Trans. Multim. Comput. Commun. Appl. 18(2): 52:1-52:20 (2022) - [c63]Moxin Li, Fuli Feng, Hanwang Zhang, Xiangnan He, Fengbin Zhu, Tat-Seng Chua:
Learning to Imagine: Integrating Counterfactual Thinking in Neural Discrete Reasoning. ACL (1) 2022: 57-69 - [c62]Qifan Wang, Li Yang, Xiaojun Quan, Fuli Feng, Dongfang Liu, Zenglin Xu, Sinong Wang, Hao Ma:
Learning to Generate Question by Asking Question: A Primal-Dual Approach with Uncommon Word Generation. EMNLP 2022: 46-61 - [c61]Daizong Ding, Mi Zhang, Yuanmin Huang, Xudong Pan, Fuli Feng, Erling Jiang, Min Yang:
Towards Backdoor Attack on Deep Learning based Time Series Classification. ICDE 2022: 1274-1287 - [c60]Nan Yin, Fuli Feng, Zhigang Luo, Xiang Zhang, Wenjie Wang, Xiao Luo, Chong Chen, Xian-Sheng Hua:
Dynamic Hypergraph Convolutional Network. ICDE 2022: 1621-1634 - [c59]Zhenguang Liu, Sifan Wu, Chejian Xu, Xiang Wang, Lei Zhu, Shuang Wu, Fuli Feng:
Copy Motion From One to Another: Fake Motion Video Generation. IJCAI 2022: 1223-1231 - [c58]Liqi Yan, Qifan Wang, Yiming Cui, Fuli Feng, Xiaojun Quan, Xiangyu Zhang, Dongfang Liu:
GL-RG: Global-Local Representation Granularity for Video Captioning. IJCAI 2022: 2769-2775 - [c57]Sihao Ding, Peng Wu, Fuli Feng, Yitong Wang, Xiangnan He, Yong Liao, Yongdong Zhang:
Addressing Unmeasured Confounder for Recommendation with Sensitivity Analysis. KDD 2022: 305-315 - [c56]Yang Liu, Xiang Ao, Fuli Feng, Qing He:
UD-GNN: Uncertainty-aware Debiased Training on Semi-Homophilous Graphs. KDD 2022: 1131-1140 - [c55]Xiaoyu Du, Zike Wu, Fuli Feng, Xiangnan He, Jinhui Tang:
Invariant Representation Learning for Multimedia Recommendation. ACM Multimedia 2022: 619-628 - [c54]Fengbin Zhu, Wenqiang Lei, Fuli Feng, Chao Wang, Haozhou Zhang, Tat-Seng Chua:
Towards Complex Document Understanding By Discrete Reasoning. ACM Multimedia 2022: 4857-4866 - [c53]Sihao Ding, Fuli Feng, Xiangnan He, Jinqiu Jin, Wenjie Wang, Yong Liao, Yongdong Zhang:
Interpolative Distillation for Unifying Biased and Debiased Recommendation. SIGIR 2022: 40-49 - [c52]Chenchen Ye, Lizi Liao, Fuli Feng, Wei Ji, Tat-Seng Chua:
Structured and Natural Responses Co-generation for Conversational Search. SIGIR 2022: 155-164 - [c51]Wenjie Wang, Fuli Feng, Liqiang Nie, Tat-Seng Chua:
User-controllable Recommendation Against Filter Bubbles. SIGIR 2022: 1251-1261 - [c50]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:
Accepted Tutorials at The Web Conference 2022. WWW (Companion Volume) 2022: 391-399 - [c49]Yu Wang, Xin Xin, Zaiqiao Meng, Joemon M. Jose, Fuli Feng, Xiangnan He:
Learning Robust Recommenders through Cross-Model Agreement. WWW 2022: 2015-2025 - [c48]Shengyu Zhang, Lingxiao Yang, Dong Yao, Yujie Lu, Fuli Feng, Zhou Zhao, Tat-Seng Chua, Fei Wu:
Re4: Learning to Re-contrast, Re-attend, Re-construct for Multi-interest Recommendation. WWW 2022: 2216-2226 - [c47]Qifan Wang, Yi Fang, Anirudh Ravula, Fuli Feng, Xiaojun Quan, Dongfang Liu:
WebFormer: The Web-page Transformer for Structure Information Extraction. WWW 2022: 3124-3133 - [c46]Wenjie Wang, Xinyu Lin, Fuli Feng, Xiangnan He, Min Lin, Tat-Seng Chua:
Causal Representation Learning for Out-of-Distribution Recommendation. WWW 2022: 3562-3571 - [i49]Zhiyuan Liu, Yixin Cao, Fuli Feng, Xiang Wang, Xindi Shang, Jie Tang, Kenji Kawaguchi, Tat-Seng Chua:
Training Free Graph Neural Networks for Graph Matching. CoRR abs/2201.05349 (2022) - [i48]Ying-Xin Wu, Xiang Wang, An Zhang, Xia Hu, Fuli Feng, Xiangnan He, Tat-Seng Chua:
Deconfounding to Explanation Evaluation in Graph Neural Networks. CoRR abs/2201.08802 (2022) - [i47]Qifan Wang, Yi Fang, Anirudh Ravula, Fuli Feng, Xiaojun Quan, Dongfang Liu:
WebFormer: The Web-page Transformer for Structure Information Extraction. CoRR abs/2202.00217 (2022) - [i46]Xiaohe Li, Lijie Wen, Yawen Deng, Fuli Feng, Xuming Hu, Lei Wang, Zide Fan:
Graph Neural Network with Curriculum Learning for Imbalanced Node Classification. CoRR abs/2202.02529 (2022) - [i45]Xiang Wang, Ying-Xin Wu, An Zhang, Fuli Feng, Xiangnan He, Tat-Seng Chua:
Reinforced Causal Explainer for Graph Neural Networks. CoRR abs/2204.11028 (2022) - [i44]Wenjie Wang, Fuli Feng, Liqiang Nie, Tat-Seng Chua:
User-controllable Recommendation Against Filter Bubbles. CoRR abs/2204.13844 (2022) - [i43]Zhenguang Liu, Sifan Wu, Chejian Xu, Xiang Wang, Lei Zhu, Shuang Wu, Fuli Feng:
Copy Motion From One to Another: Fake Motion Video Generation. CoRR abs/2205.01373 (2022) - [i42]Xiangnan He, Yang Zhang, Fuli Feng, Chonggang Song, Lingling Yi, Guohui Ling, Yongdong Zhang:
Addressing Confounding Feature Issue for Causal Recommendation. CoRR abs/2205.06532 (2022) - [i41]Xinyuan Zhu, Yang Zhang, Fuli Feng, Xun Yang, Dingxian Wang, Xiangnan He:
Mitigating Hidden Confounding Effects for Causal Recommendation. CoRR abs/2205.07499 (2022) - [i40]Liqi Yan, Qifan Wang, Yiming Cui, Fuli Feng, Xiaojun Quan, Xiangyu Zhang, Dongfang Liu:
GL-RG: Global-Local Representation Granularity for Video Captioning. CoRR abs/2205.10706 (2022) - [i39]Weijian Chen, Yixin Cao, Fuli Feng, Xiangnan He, Yongdong Zhang:
Explainable Sparse Knowledge Graph Completion via High-order Graph Reasoning Network. CoRR abs/2207.07503 (2022) - [i38]Fengbin Zhu, Wenqiang Lei, Fuli Feng, Chao Wang, Haozhou Zhang, Tat-Seng Chua:
Towards Complex Document Understanding By Discrete Reasoning. CoRR abs/2207.11871 (2022) - [i37]Shengyu Zhang, Lingxiao Yang, Dong Yao, Yujie Lu, Fuli Feng, Zhou Zhao, Tat-Seng Chua, Fei Wu:
Re4: Learning to Re-contrast, Re-attend, Re-construct for Multi-interest Recommendation. CoRR abs/2208.08011 (2022) - [i36]Shengyu Zhang, Bofang Li, Dong Yao, Fuli Feng, Jieming Zhu, Wenyan Fan, Zhou Zhao, Xiaofei He, Tat-Seng Chua, Fei Wu:
CCL4Rec: Contrast over Contrastive Learning for Micro-video Recommendation. CoRR abs/2208.08024 (2022) - [i35]Chen Gao, Yu Zheng, Wenjie Wang, Fuli Feng, Xiangnan He, Yong Li:
Causal Inference in Recommender Systems: A Survey and Future Directions. CoRR abs/2208.12397 (2022) - [i34]Xi Wang, Wenjie Wang, Fuli Feng, Wenge Rong, Chuantao Yin:
Causal Intervention for Fairness in Multi-behavior Recommendation. CoRR abs/2209.04589 (2022) - [i33]Chenxu Wang, Fuli Feng, Yang Zhang, Qifan Wang, Xunhan Hu, Xiangnan He:
Rethinking Missing Data: Aleatoric Uncertainty-Aware Recommendation. CoRR abs/2209.11679 (2022) - [i32]Gang Chen, Jiawei Chen, Fuli Feng, Sheng Zhou, Xiangnan He:
Unbiased Knowledge Distillation for Recommendation. CoRR abs/2211.14729 (2022) - [i31]Xinyu Lin, Yiyan Xu, Wenjie Wang, Yang Zhang, Fuli Feng:
Mitigating Spurious Correlations for Self-supervised Recommendation. CoRR abs/2212.04282 (2022) - 2021
- [j10]Shunyu Jiang, Fuli Feng, Weijian Chen, Xiang Li, Xiangnan He:
Structure-enhanced meta-learning for few-shot graph classification. AI Open 2: 160-167 (2021) - [j9]Jingtao Ding, Guanghui Yu, Xiangnan He, Fuli Feng, Yong Li, Depeng Jin:
Sampler Design for Bayesian Personalized Ranking by Leveraging View Data. IEEE Trans. Knowl. Data Eng. 33(2): 667-681 (2021) - [j8]Fuli Feng, Xiangnan He, Jie Tang, Tat-Seng Chua:
Graph Adversarial Training: Dynamically Regularizing Based on Graph Structure. IEEE Trans. Knowl. Data Eng. 33(6): 2493-2504 (2021) - [j7]Chen Gao, Xiangnan He, Dahua Gan, Xiangning Chen, Fuli Feng, Yong Li, Tat-Seng Chua, Lina Yao, Yang Song, Depeng Jin:
Learning to Recommend With Multiple Cascading Behaviors. IEEE Trans. Knowl. Data Eng. 33(6): 2588-2601 (2021) - [j6]Weili Guan, Zhaozheng Chen, Fuli Feng, Weifeng Liu, Liqiang Nie:
Urban Perception: Sensing Cities via a Deep Interactive Multi-task Learning Framework. ACM Trans. Multim. Comput. Commun. Appl. 17(1s): 13:1-13:20 (2021) - [j5]Xin Yang, Xuemeng Song, Fuli Feng, Haokun Wen, Ling-Yu Duan, Liqiang Nie:
Attribute-wise Explainable Fashion Compatibility Modeling. ACM Trans. Multim. Comput. Commun. Appl. 17(1): 36:1-36:21 (2021) - [c45]Chen Qian, Fuli Feng, Lijie Wen, Tat-Seng Chua:
Conceptualized and Contextualized Gaussian Embedding. AAAI 2021: 13683-13691 - [c44]Fuli Feng, Jizhi Zhang, Xiangnan He, Hanwang Zhang, Tat-Seng Chua:
Empowering Language Understanding with Counterfactual Reasoning. ACL/IJCNLP (Findings) 2021: 2226-2236 - [c43]Fengbin Zhu, Wenqiang Lei, Youcheng Huang, Chao Wang, Shuo Zhang, Jiancheng Lv, Fuli Feng, Tat-Seng Chua:
TAT-QA: A Question Answering Benchmark on a Hybrid of Tabular and Textual Content in Finance. ACL/IJCNLP (1) 2021: 3277-3287 - [c42]Chen Qian, Fuli Feng, Lijie Wen, Chunping Ma, Pengjun Xie:
Counterfactual Inference for Text Classification Debiasing. ACL/IJCNLP (1) 2021: 5434-5445 - [c41]Xiaoyu You, Mi Zhang, Daizong Ding, Fuli Feng, Yuanmin Huang:
Learning to Learn the Future: Modeling Concept Drifts in Time Series Prediction. CIKM 2021: 2434-2443 - [c40]Fuli Feng, Xilin Rui, Wenjie Wang, Yixin Cao, Tat-Seng Chua:
Pre-training and evaluation of numeracy-oriented language model. ICAIF 2021: 47:1-47:8 - [c39]Fuli Feng, Xiang Wang, Xiangnan He, Ritchie Ng, Tat-Seng Chua:
Time horizon-aware modeling of financial texts for stock price prediction. ICAIF 2021: 51:1-51:8 - [c38]Wenjie Wang, Fuli Feng, Xiangnan He, Xiang Wang, Tat-Seng Chua:
Deconfounded Recommendation for Alleviating Bias Amplification. KDD 2021: 1717-1725 - [c37]Tianxin Wei, Fuli Feng, Jiawei Chen, Ziwei Wu, Jinfeng Yi, Xiangnan He:
Model-Agnostic Counterfactual Reasoning for Eliminating Popularity Bias in Recommender System. KDD 2021: 1791-1800 - [c36]Jiawei Chen, Xiang Wang, Fuli Feng, Xiangnan He:
Bias Issues and Solutions in Recommender System: Tutorial on the RecSys 2021. RecSys 2021: 825-827 - [c35]Xun Yang, Fuli Feng, Wei Ji, Meng Wang, Tat-Seng Chua:
Deconfounded Video Moment Retrieval with Causal Intervention. SIGIR 2021: 1-10 - [c34]Yang Zhang, Fuli Feng, Xiangnan He, Tianxin Wei, Chonggang Song, Guohui Ling, Yongdong Zhang:
Causal Intervention for Leveraging Popularity Bias in Recommendation. SIGIR 2021: 11-20 - [c33]Fuli Feng, Moxin Li, Cheng Luo, Ritchie Ng, Tat-Seng Chua:
Hybrid Learning to Rank for Financial Event Ranking. SIGIR 2021: 233-243 - [c32]Jiancan Wu, Xiang Wang, Fuli Feng, Xiangnan He, Liang Chen, Jianxun Lian, Xing Xie:
Self-supervised Graph Learning for Recommendation. SIGIR 2021: 726-735 - [c31]Fuli Feng, Weiran Huang, Xiangnan He, Xin Xin, Qifan Wang, Tat-Seng Chua:
Should Graph Convolution Trust Neighbors? A Simple Causal Inference Method. SIGIR 2021: 1208-1218 - [c30]Wenjie Wang, Fuli Feng, Xiangnan He, Hanwang Zhang, Tat-Seng Chua:
Clicks can be Cheating: Counterfactual Recommendation for Mitigating Clickbait Issue. SIGIR 2021: 1288-1297 - [c29]Wenjie Wang, Fuli Feng, Xiangnan He, Liqiang Nie, Tat-Seng Chua:
Denoising Implicit Feedback for Recommendation. WSDM 2021: 373-381 - [c28]Hande Dong, Jiawei Chen, Fuli Feng, Xiangnan He, Shuxian Bi, Zhaolin Ding, Peng Cui:
On the Equivalence of Decoupled Graph Convolution Network and Label Propagation. WWW 2021: 3651-3662 - [i30]Shunyu Jiang, Fuli Feng, Weijian Chen, Xiang Li, Xiangnan He:
Structure-Enhanced Meta-Learning For Few-Shot Graph Classification. CoRR abs/2103.03547 (2021) - [i29]Yang Zhang, Fuli Feng, Xiangnan He, Tianxin Wei, Chonggang Song, Guohui Ling, Yongdong Zhang:
Causal Intervention for Leveraging Popularity Bias in Recommendation. CoRR abs/2105.06067 (2021) - [i28]Fengbin Zhu, Wenqiang Lei, Youcheng Huang, Chao Wang, Shuo Zhang, Jiancheng Lv, Fuli Feng, Tat-Seng Chua:
TAT-QA: A Question Answering Benchmark on a Hybrid of Tabular and Textual Content in Finance. CoRR abs/2105.07624 (2021) - [i27]Yu Wang, Xin Xin, Zaiqiao Meng, Xiangnan He, Joemon M. Jose, Fuli Feng:
Probabilistic and Variational Recommendation Denoising. CoRR abs/2105.09605 (2021) - [i26]Wenjie Wang, Fuli Feng, Xiangnan He, Xiang Wang, Tat-Seng Chua:
Deconfounded Recommendation for Alleviating Bias Amplification. CoRR abs/2105.10648 (2021) - [i25]Xun Yang, Fuli Feng, Wei Ji, Meng Wang, Tat-Seng Chua:
Deconfounded Video Moment Retrieval with Causal Intervention. CoRR abs/2106.01534 (2021) - [i24]Fuli Feng, Jizhi Zhang, Xiangnan He, Hanwang Zhang, Tat-Seng Chua:
Empowering Language Understanding with Counterfactual Reasoning. CoRR abs/2106.03046 (2021) - [i23]Sihao Ding, Fuli Feng, Xiangnan He, Yong Liao, Jun Shi, Yongdong Zhang:
Causal Incremental Graph Convolution for Recommender System Retraining. CoRR abs/2108.06889 (2021) - [i22]Wenjie Wang, Fuli Feng, Xiangnan He, Liqiang Nie, Tat-Seng Chua:
Learning Robust Recommender from Noisy Implicit Feedback. CoRR abs/2112.01160 (2021) - 2020
- [j4]Xiaoyan Gao, Fuli Feng, Xiangnan He, Heyan Huang, Xinyu Guan, Chong Feng, Zhaoyan Ming, Tat-Seng Chua:
Hierarchical Attention Network for Visually-Aware Food Recommendation. IEEE Trans. Multim. 22(6): 1647-1659 (2020) - [j3]Liqiang Nie, Yongqi Li, Fuli Feng, Xuemeng Song, Meng Wang, Yinglong Wang:
Large-Scale Question Tagging via Joint Question-Topic Embedding Learning. ACM Trans. Inf. Syst. 38(2): 20:1-20:23 (2020) - [c27]Chen Qian, Fuli Feng, Lijie Wen, Zhenpeng Chen, Li Lin, Yanan Zheng, Tat-Seng Chua:
Solving Sequential Text Classification as Board-Game Playing. AAAI 2020: 8640-8648 - [c26]Tianxin Wei, Ziwei Wu, Ruirui Li, Ziniu Hu, Fuli Feng, Xiangnan He, Yizhou Sun, Wei Wang:
Fast Adaptation for Cold-start Collaborative Filtering with Meta-learning. ICDM 2020: 661-670 - [c25]Hongmin Zhu, Fuli Feng, Xiangnan He, Xiang Wang, Yan Li, Kai Zheng, Yongdong Zhang:
Bilinear Graph Neural Network with Neighbor Interactions. IJCAI 2020: 1452-1458 - [c24]Lei Meng, Fuli Feng, Xiangnan He, Xiaoyan Gao, Tat-Seng Chua:
Heterogeneous Fusion of Semantic and Collaborative Information for Visually-Aware Food Recommendation. ACM Multimedia 2020: 3460-3468 - [c23]Chen Qian, Fuli Feng, Lijie Wen, Li Lin, Tat-Seng Chua:
Enhancing Text Classification via Discovering Additional Semantic Clues from Logograms. SIGIR 2020: 1201-1210 - [c22]Yang Zhang, Fuli Feng, Chenxu Wang, Xiangnan He, Meng Wang, Yan Li, Yongdong Zhang:
How to Retrain Recommender System?: A Sequential Meta-Learning Method. SIGIR 2020: 1479-1488 - [c21]Fuli Feng, Cheng Luo, Xiangnan He, Yiqun Liu, Tat-Seng Chua:
FinIR 2020: The First Workshop on Information Retrieval in Finance. SIGIR 2020: 2451-2454 - [i21]Hongmin Zhu, Fuli Feng, Xiangnan He, Xiang Wang, Yan Li, Kai Zheng, Yongdong Zhang:
Bilinear Graph Neural Network with Node Interactions. CoRR abs/2002.03575 (2020) - [i20]Fuli Feng, Xiangnan He, Hanwang Zhang, Tat-Seng Chua:
Cross-GCN: Enhancing Graph Convolutional Network with k-Order Feature Interactions. CoRR abs/2003.02587 (2020) - [i19]Yang Zhang, Fuli Feng, Chenxu Wang, Xiangnan He, Meng Wang, Yan Li, Yongdong Zhang:
How to Retrain Recommender System? A Sequential Meta-Learning Method. CoRR abs/2005.13258 (2020) - [i18]Wenjie Wang, Fuli Feng, Xiangnan He, Liqiang Nie, Tat-Seng Chua:
Denoising Implicit Feedback for Recommendation. CoRR abs/2006.04153 (2020) - [i17]Hande Dong, Zhaolin Ding, Xiangnan He, Fuli Feng, Shuxian Bi:
Data Augmentation View on Graph Convolutional Network and the Proposal of Monte Carlo Graph Learning. CoRR abs/2006.13090 (2020) - [i16]Weijian Chen, Fuli Feng, Qifan Wang, Xiangnan He, Chonggang Song, Guohui Ling, Yongdong Zhang:
CatGCN: Graph Convolutional Networks with Categorical Node Features. CoRR abs/2009.05303 (2020) - [i15]Wenjie Wang, Fuli Feng, Xiangnan He, Hanwang Zhang, Tat-Seng Chua:
"Click" Is Not Equal to "Like": Counterfactual Recommendation for Mitigating Clickbait Issue. CoRR abs/2009.09945 (2020) - [i14]Jiawei Chen, Hande Dong, Xiang Wang, Fuli Feng, Meng Wang, Xiangnan He:
Bias and Debias in Recommender System: A Survey and Future Directions. CoRR abs/2010.03240 (2020) - [i13]Jiancan Wu, Xiang Wang, Fuli Feng, Xiangnan He, Liang Chen, Jianxun Lian, Xing Xie:
Self-supervised Graph Learning for Recommendation. CoRR abs/2010.10783 (2020) - [i12]Fuli Feng, Weiran Huang, Xin Xin, Xiangnan He, Tat-Seng Chua:
Should Graph Convolution Trust Neighbors? A Simple Causal Inference Method. CoRR abs/2010.11797 (2020) - [i11]Hande Dong, Jiawei Chen, Fuli Feng, Xiangnan He, Shuxian Bi, Zhaolin Ding, Peng Cui:
On the Equivalence of Decoupled Graph Convolution Network and Label Propagation. CoRR abs/2010.12408 (2020) - [i10]Tianxin Wei, Fuli Feng, Jiawei Chen, Chufeng Shi, Ziwei Wu, Jinfeng Yi, Xiangnan He:
Model-Agnostic Counterfactual Reasoning for Eliminating Popularity Bias in Recommender System. CoRR abs/2010.15363 (2020)
2010 – 2019
- 2019
- [j2]Fuli Feng, Xiangnan He, Xiang Wang, Cheng Luo, Yiqun Liu, Tat-Seng Chua:
Temporal Relational Ranking for Stock Prediction. ACM Trans. Inf. Syst. 37(2): 27:1-27:30 (2019) - [c20]Cunxiao Du, Zhaozheng Chen, Fuli Feng, Lei Zhu, Tian Gan, Liqiang Nie:
Explicit Interaction Model towards Text Classification. AAAI 2019: 6359-6366 - [c19]Chen Gao, Xiangnan He, Dahua Gan, Xiangning Chen, Fuli Feng, Yong Li, Tat-Seng Chua, Depeng Jin:
Neural Multi-task Recommendation from Multi-behavior Data. ICDE 2019: 1554-1557 - [c18]Fuli Feng, Huimin Chen, Xiangnan He, Ji Ding, Maosong Sun, Tat-Seng Chua:
Enhancing Stock Movement Prediction with Adversarial Training. IJCAI 2019: 5843-5849 - [c17]Xue Dong, Xuemeng Song, Fuli Feng, Peiguang Jing, Xin-Shun Xu, Liqiang Nie:
Personalized Capsule Wardrobe Creation with Garment and User Modeling. ACM Multimedia 2019: 302-310 - [c16]Xiang Wang, Xiangnan He, Meng Wang, Fuli Feng, Tat-Seng Chua:
Neural Graph Collaborative Filtering. SIGIR 2019: 165-174 - [c15]Changchang Sun, Xuemeng Song, Fuli Feng, Wayne Xin Zhao, Hao Zhang, Liqiang Nie:
Supervised Hierarchical Cross-Modal Hashing. SIGIR 2019: 725-734 - [c14]Xun Yang, Xiangnan He, Xiang Wang, Yunshan Ma, Fuli Feng, Meng Wang, Tat-Seng Chua:
Interpretable Fashion Matching with Rich Attributes. SIGIR 2019: 775-784 - [c13]Chen Gao, Xiangning Chen, Fuli Feng, Kai Zhao, Xiangnan He, Yong Li, Depeng Jin:
Cross-domain Recommendation Without Sharing User-relevant Data. WWW 2019: 491-502 - [i9]Fuli Feng, Xiangnan He, Jie Tang, Tat-Seng Chua:
Graph Adversarial Training: Dynamically Regularizing Based on Graph Structure. CoRR abs/1902.08226 (2019) - [i8]Xiang Wang, Xiangnan He, Meng Wang, Fuli Feng, Tat-Seng Chua:
Neural Graph Collaborative Filtering. CoRR abs/1905.08108 (2019) - 2018
- [c12]Tiancheng Shen, Jia Jia, Guangyao Shen, Fuli Feng, Xiangnan He, Huanbo Luan, Jie Tang, Thanassis Tiropanis, Tat-Seng Chua, Wendy Hall:
Cross-Domain Depression Detection via Harvesting Social Media. IJCAI 2018: 1611-1617 - [c11]Han Liu, Xiangnan He, Fuli Feng, Liqiang Nie, Rui Liu, Hanwang Zhang:
Discrete Factorization Machines for Fast Feature-based Recommendation. IJCAI 2018: 3449-3455 - [c10]Xiaochi Wei, Heyan Huang, Liqiang Nie, Fuli Feng, Richang Hong, Tat-Seng Chua:
Quality Matters: Assessing cQA Pair Quality via Transductive Multi-View Learning. IJCAI 2018: 4482-4488 - [c9]Jingjing Chen, Chong-Wah Ngo, Fuli Feng, Tat-Seng Chua:
Deep Understanding of Cooking Procedure for Cross-modal Recipe Retrieval. ACM Multimedia 2018: 1020-1028 - [c8]Xuemeng Song, Fuli Feng, Xianjing Han, Xin Yang, Wei Liu, Liqiang Nie:
Neural Compatibility Modeling with Attentive Knowledge Distillation. SIGIR 2018: 5-14 - [c7]Jingtao Ding, Fuli Feng, Xiangnan He, Guanghui Yu, Yong Li, Depeng Jin:
An Improved Sampler for Bayesian Personalized Ranking by Leveraging View Data. WWW (Companion Volume) 2018: 13-14 - [c6]Fuli Feng, Xiangnan He, Yiqun Liu, Liqiang Nie, Tat-Seng Chua:
Learning on Partial-Order Hypergraphs. WWW 2018: 1523-1532 - [c5]Xiang Wang, Xiangnan He, Fuli Feng, Liqiang Nie, Tat-Seng Chua:
TEM: Tree-enhanced Embedding Model for Explainable Recommendation. WWW 2018: 1543-1552 - [i7]Xuemeng Song, Fuli Feng, Xianjing Han, Xin Yang, Wei Liu, Liqiang Nie:
Neural Compatibility Modeling with Attentive Knowledge Distillation. CoRR abs/1805.00313 (2018) - [i6]Han Liu, Xiangnan He, Fuli Feng, Liqiang Nie, Rui Liu, Hanwang Zhang:
Discrete Factorization Machines for Fast Feature-based Recommendation. CoRR abs/1805.02232 (2018) - [i5]Chen Gao, Xiangnan He, Dahua Gan, Xiangning Chen, Fuli Feng, Yong Li, Tat-Seng Chua, Depeng Jin:
Learning Recommender Systems from Multi-Behavior Data. CoRR abs/1809.08161 (2018) - [i4]Fuli Feng, Xiangnan He, Xiang Wang, Cheng Luo, Yiqun Liu, Tat-Seng Chua:
Temporal Relational Ranking for Stock Prediction. CoRR abs/1809.09441 (2018) - [i3]Xiaoyan Gao, Fuli Feng, Xiangnan He, Heyan Huang, Xinyu Guan, Chong Feng, Zhaoyan Ming, Tat-Seng Chua:
Visually-aware Collaborative Food Recommendation. CoRR abs/1810.05032 (2018) - [i2]Fuli Feng, Huimin Chen, Xiangnan He, Ji Ding, Maosong Sun, Tat-Seng Chua:
Improving Stock Movement Prediction with Adversarial Training. CoRR abs/1810.09936 (2018) - [i1]Cunxiao Du, Zhaozheng Chen, Fuli Feng, Lei Zhu, Tian Gan, Liqiang Nie:
Explicit Interaction Model towards Text Classification. CoRR abs/1811.09386 (2018) - 2017
- [j1]Jing Jiang, David Lo, Xinyu Ma, Fuli Feng, Li Zhang:
Understanding inactive yet available assignees in GitHub. Inf. Softw. Technol. 91: 44-55 (2017) - [c4]Guangyao Shen, Jia Jia, Liqiang Nie, Fuli Feng, Cunjun Zhang, Tianrui Hu, Tat-Seng Chua, Wenwu Zhu:
Depression Detection via Harvesting Social Media: A Multimodal Dictionary Learning Solution. IJCAI 2017: 3838-3844 - [c3]Xuemeng Song, Fuli Feng, Jinhuan Liu, Zekun Li, Liqiang Nie, Jun Ma:
NeuroStylist: Neural Compatibility Modeling for Clothing Matching. ACM Multimedia 2017: 753-761 - [c2]Fuli Feng, Liqiang Nie, Xiang Wang, Richang Hong, Tat-Seng Chua:
Computational Social Indicators: A Case Study of Chinese University Ranking. SIGIR 2017: 455-464 - 2016
- [c1]Jing Jiang, Fuli Feng, Xiaoli Lian, Li Zhang:
Long-Term Active Integrator Prediction in the Evaluation of Code Contributions. SEKE 2016: 177-182
Coauthor Index
[j33] [j29] [j28] [j27] [c133] [c130] [c128] [c123] [c121] [c116] [c114] [c110] [c100] [i116] [i115] [i111] [i108] [i105] [i102] [i99] [i98] [i78] [i75] [j21] [j20] [j18] [c97] [c96] [c90] [c84] [c82] [c74] [c65] [i72] [i71] [i70] [i66] [i64] [i56] [i52] [c63] [c54] [c52] [c51] [c48] [c46] [i49] [i48] [i45] [i44] [i38] [i37] [i36] [j8] [j7] [c45] [c44] [c43] [c40] [c39] [c38] [c35] [c33] [c31] [c30] [c29] [i28] [i26] [i25] [i24] [i22] [j4] [c27] [c24] [c23] [c21] [i20] [i18] [i15] [i12] [j2] [c19] [c18] [c16] [c14] [i9] [i8] [c12] [c10] [c9] [c6] [c5] [i5] [i4] [i3] [i2] [c4] [c2]
[j32] [j31] [j30] [j29] [j26] [c132] [c129] [c120] [c119] [c113] [c112] [c111] [c109] [c105] [c103] [c102] [c101] [c99] [i113] [i112] [i110] [i109] [i107] [i106] [i104] [i103] [i102] [i101] [i100] [i96] [i87] [i80] [i77] [i74] [j24] [j23] [j21] [j19] [j18] [j17] [j16] [j15] [c93] [c91] [c89] [c86] [c85] [c80] [c79] [c78] [c77] [c76] [c75] [c74] [c73] [c71] [c70] [c68] [c67] [i73] [i71] [i70] [i69] [i67] [i65] [i62] [i61] [i60] [i59] [i58] [i57] [i55] [i54] [i50] [j12] [c63] [c57] [c55] [c53] [c50] [c49] [c46] [i48] [i45] [i42] [i41] [i39] [i35] [i33] [i32] [j10] [j9] [j8] [j7] [c44] [c39] [c38] [c37] [c36] [c34] [c32] [c31] [c30] [c29] [c28] [i30] [i29] [i27] [i26] [i24] [i23] [i22] [j4] [c26] [c25] [c24] [c22] [c21] [i21] [i20] [i19] [i18] [i17] [i16] [i15] [i14] [i13] [i12] [i11] [i10] [j2] [c19] [c18] [c16] [c14] [c13] [i9] [i8] [c12] [c11] [c7] [c6] [c5] [i6] [i5] [i4] [i3] [i2]
Xinyu Lin
aka: Xin-Yu Lin
aka: Xin-Yu Lin
[j35] [j28] [j26] [c133] [c132] [c131] [c130] [c123] [c117] [c116] [c114] [c111] [c110] [c108] [c106] [c105] [c103] [c102] [c101] [c100] [c99] [i117] [i115] [i114] [i113] [i112] [i111] [i109] [i108] [i107] [i106] [i105] [i103] [i102] [i99] [i97] [i96] [i93] [i92] [i88] [i83] [i82] [i80] [i78] [i77] [i75] [i74] [j22] [c96] [c93] [c91] [c90] [c89] [c82] [c78] [c76] [c75] [c74] [c73] [c71] [c70] [i72] [i71] [i70] [i69] [i67] [i65] [i64] [i59] [i57] [i56] [i55] [i52] [c60] [c53] [c51] [c50] [c46] [i44] [i35] [i34] [i31] [c40] [c38] [c30] [c29] [i26] [i22] [i18] [i15]
[j32] [c132] [c131] [c129] [c124] [c115] [c113] [c109] [c108] [c107] [c103] [c102] [c101] [i111] [i110] [i109] [i107] [i103] [i100] [i97] [i96] [i89] [i85] [i77] [i74] [j22] [j19] [j16] [c92] [c91] [c86] [c76] [c75] [c73] [c72] [c71] [c70] [i69] [i68] [i67] [i65] [i63] [i62] [i59] [i54] [i51] [i50] [c50] [i42] [i41] [i33] [i31] [c34] [i29] [c22] [i19]
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