Ze Tao, Jian Zhang, Haowei Li, Xianshuai Li, Yifei Peng, Xiyao Liu, Senzhang Wang, Chao Liu, Sheng Ren, Shichao Zhang: Humanoid-inspired Causal Representation Learning for Domain Generalization https://arxiv.org/abs/2510.16382 https://arxiv.org/pdf/2510.16382 https://arxiv.org/html/2510.16382
October 21, 2025 at 6:29 AM
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August 31, 2025 at 8:13 PM
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THE FOXGLOVE PACT by @senzhang.bsky.social is out now! Get your copy and enter to win a $10 Amazon Gift Card! books2read.com/u/mBN0VO #TheFoxglovePact #SenZhang #UrbanFantasy #giveaway socialman.net/c/o9sPT/
August 26, 2025 at 9:33 PM
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3 reposts
the writer’s website is: senzhang.net
ebook preorders: books2read.com/u/mBN0VO
linktree: linktr.ee/senzhang
please support and/ or share!!
ebook preorders: books2read.com/u/mBN0VO
linktree: linktr.ee/senzhang
please support and/ or share!!
Sen Zhang
senzhang.net
August 25, 2025 at 5:24 PM
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Fan Zhang, Jinpeng Chen, Huan Li, Senzhang Wang, Yuan Cao, Kaimin Wei, JianXiang He, Feifei Kou, Jinqing Wang
Leveraging Multimodal Data and Side Users for Diffusion Cross-Domain Recommendation
https://arxiv.org/abs/2507.04000
Leveraging Multimodal Data and Side Users for Diffusion Cross-Domain Recommendation
https://arxiv.org/abs/2507.04000
July 8, 2025 at 7:06 AM
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Fan Zhang, Jinpeng Chen, Huan Li, Senzhang Wang, Yuan Cao, Kaimin Wei, JianXiang He, Feifei Kou, Jinqing Wang: Leveraging Multimodal Data and Side Users for Diffusion Cross-Domain Recommendation https://arxiv.org/abs/2507.04000 https://arxiv.org/pdf/2507.04000 https://arxiv.org/html/2507.04000
July 8, 2025 at 6:32 AM
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1 reposts
Jinpeng Chen, Jianxiang He, Huan Li, Senzhang Wang, Yuan Cao, Kaimin Wei, Zhenye Yang, Ye Ji
Hierarchical Intent-guided Optimization with Pluggable LLM-Driven Semantics for Session-based Recommendation
https://arxiv.org/abs/2507.04623
Hierarchical Intent-guided Optimization with Pluggable LLM-Driven Semantics for Session-based Recommendation
https://arxiv.org/abs/2507.04623
July 8, 2025 at 5:25 AM
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Ruochen Liu, Hao Chen, Yuanchen Bei, Zheyu Zhou, Lijia Chen, Qijie Shen, Feiran Huang, Fakhri Karray, Senzhang Wang
FilterLLM: Text-To-Distribution LLM for Billion-Scale Cold-Start Recommendation
https://arxiv.org/abs/2502.16924
FilterLLM: Text-To-Distribution LLM for Billion-Scale Cold-Start Recommendation
https://arxiv.org/abs/2502.16924
February 25, 2025 at 5:15 AM
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Zichen Wang, Hao Miao, Senzhang Wang, Renzhi Wang, Jianxin Wang, Jian Zhang
C2F-TP: A Coarse-to-Fine Denoising Framework for Uncertainty-Aware Trajectory Prediction
https://arxiv.org/abs/2412.13231
C2F-TP: A Coarse-to-Fine Denoising Framework for Uncertainty-Aware Trajectory Prediction
https://arxiv.org/abs/2412.13231
December 19, 2024 at 7:37 AM
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Bowen Zhang, Genan Dai, Fuqiang Niu, Nan Yin, Xiaomao Fan, Senzhang Wang, Xiaochun Cao, Hu Huang
A Survey of Stance Detection on Social Media: New Directions and Perspectives
https://arxiv.org/abs/2409.15690
A Survey of Stance Detection on Social Media: New Directions and Perspectives
https://arxiv.org/abs/2409.15690
November 26, 2024 at 3:00 PM
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Zheng Yu, Yaohua Wang, Siying Cui, Aixi Zhang, Wei-Long Zheng, Senzhang Wang
FuseAnyPart: Diffusion-Driven Facial Parts Swapping via Multiple Reference Images
https://arxiv.org/abs/2410.22771
FuseAnyPart: Diffusion-Driven Facial Parts Swapping via Multiple Reference Images
https://arxiv.org/abs/2410.22771
November 12, 2024 at 10:01 PM
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Zheng Yu, Yaohua Wang, Siying Cui, Aixi Zhang, Wei-Long Zheng, Senzhang Wang
FuseAnyPart: Diffusion-Driven Facial Parts Swapping via Multiple Reference Images
https://arxiv.org/abs/2410.22771
FuseAnyPart: Diffusion-Driven Facial Parts Swapping via Multiple Reference Images
https://arxiv.org/abs/2410.22771
October 31, 2024 at 7:01 AM
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Ziyi Zhou, Xiaoming Zhang, Litian Zhang, Jiacheng Liu, Senzhang Wang, Zheng Liu, Xi Zhang, Chaozhuo Li, Philip S. Yu
FineFake: A Knowledge-Enriched Dataset for Fine-Grained Multi-Domain Fake News Detection
https://arxiv.org/abs/2404.01336
FineFake: A Knowledge-Enriched Dataset for Fine-Grained Multi-Domain Fake News Detection
https://arxiv.org/abs/2404.01336
October 16, 2024 at 3:02 PM
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Peiyan Zhang, Yuchen Yan, Xi Zhang, Liying Kang, Chaozhuo Li, Feiran Huang, Senzhang Wang, Sunghun Kim
GPT4Rec: Graph Prompt Tuning for Streaming Recommendation
https://arxiv.org/abs/2406.08229
GPT4Rec: Graph Prompt Tuning for Streaming Recommendation
https://arxiv.org/abs/2406.08229
June 13, 2024 at 4:03 AM
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Juyong Jiang, Peiyan Zhang, Yingtao Luo, Chaozhuo Li, Jaeboum Kim, Kai Zhang, Senzhang Wang, Sunghun Kim
Improving Sequential Recommendations via Bidirectional Temporal Data Augmentation with Pre-training
https://arxiv.org/abs/2112.06460
Improving Sequential Recommendations via Bidirectional Temporal Data Augmentation with Pre-training
https://arxiv.org/abs/2112.06460
March 27, 2024 at 8:00 AM
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Peiyan Zhang, Chaozhuo Li, Liying Kang, Feiran Huang, Senzhang Wang, Xing Xie, Sunghun Kim
High-Frequency-aware Hierarchical Contrastive Selective Coding for Representation Learning on Text-attributed Graphs
https://arxiv.org/abs/2402.16240
High-Frequency-aware Hierarchical Contrastive Selective Coding for Representation Learning on Text-attributed Graphs
https://arxiv.org/abs/2402.16240
February 27, 2024 at 5:02 AM
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Yijie Zhang, Yuanchen Bei, Hao Chen, Qijie Shen, Zheng Yuan, Huan Gong, Senzhang Wang, Feiran Huang, Xiao Huang
Multi-Behavior Collaborative Filtering with Partial Order Graph Convolutional Networks
https://arxiv.org/abs/2402.07659
Multi-Behavior Collaborative Filtering with Partial Order Graph Convolutional Networks
https://arxiv.org/abs/2402.07659
February 13, 2024 at 5:01 AM
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Hao Chen, Yuanchen Bei, Qijie Shen, Yue Xu, Sheng Zhou, Wenbing Huang, Feiran Huang, Senzhang Wang, Xiao Huang
Macro Graph Neural Networks for Online Billion-Scale Recommender Systems. (arXiv:2401.14939v1 [cs.IR])
http://arxiv.org/abs/2401.14939
Macro Graph Neural Networks for Online Billion-Scale Recommender Systems. (arXiv:2401.14939v1 [cs.IR])
http://arxiv.org/abs/2401.14939
January 29, 2024 at 2:01 AM
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Jiangnan Xia, Yu Yang, Senzhang Wang, Hongzhi Yin, Jiannong Cao, Philip S. Yu
Bayes-enhanced Multi-view Attention Networks for Robust POI Recommendation. (arXiv:2311.00491v1 [cs.IR])
http://arxiv.org/abs/2311.00491
Bayes-enhanced Multi-view Attention Networks for Robust POI Recommendation. (arXiv:2311.00491v1 [cs.IR])
http://arxiv.org/abs/2311.00491
November 2, 2023 at 2:00 AM
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