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2020 – today
- 2024
[j34]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)- [j33]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) - [j32]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) - [j31]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) - [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) - [c124]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 - [c123]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 - [c122]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 - [c121]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 - [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 - [i111]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) - [i110]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) - [i109]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) - [i108]Jinqiu Jin, Sihao Ding, Wenjie Wang, Fuli Feng:
Understanding and Counteracting Feature-Level Bias in Click-Through Rate Prediction. CoRR abs/2402.03600 (2024) - [i107]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) - [i106]Yiyan Xu, Wenjie Wang, Fuli Feng, Yunshan Ma, Jizhi Zhang, Xiangnan He:
DiFashion: Towards Personalized Outfit Generation and Recommendation. CoRR abs/2402.17279 (2024) - [i105]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) - [i104]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) - [i103]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) - [i102]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) - [i101]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) - [i100]Shuxian Bi, Wenjie Wang, Hang Pan, Fuli Feng, Xiangnan He:
Proactive Recommendation with Iterative Preference Guidance. CoRR abs/2403.07571 (2024) - [i99]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) - [i98]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) - [i97]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) - [i96]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) - [i95]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) - [i94]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) - [i93]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) - [i92]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) - [i91]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) - [i90]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) - [i89]Jinqiu Jin, Haoxuan Li, Fuli Feng:
On the Maximal Local Disparity of Fairness-Aware Classifiers. CoRR abs/2406.03255 (2024) - [i88]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) - [i87]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) - [i86]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) - [i85]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) - [i84]Wentao Shi, Mengqi Yuan, Junkang Wu, Qifan Wang, Fuli Feng:
Direct Multi-Turn Preference Optimization for Language Agents. CoRR abs/2406.14868 (2024) - [i83]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) - [i82]Haoxuan Li, Chunyuan Zheng, Wenjie Wang, Hao Wang, Fuli Feng, Xiao-Hua Zhou:
Debiased Recommendation with Noisy Feedback. CoRR abs/2406.17182 (2024) - [i81]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) - [i80]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) - [i79]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) - [i78]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) - [i77]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) - [i76]Mingze Wang, Shuxian Bi, Wenjie Wang, Chongming Gao, Yangyang Li, Fuli Feng:
Incorporate LLMs with Influential Recommender System. CoRR abs/2409.04827 (2024) - [i75]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) - [i74]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) - 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