Mingxuan Ju
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
27
Venues
13
Active years
2020–2026
Best venue rank
A*
Where they publish
Papers
27 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | ACL | MemRec: Collaborative Memory-Augmented Agentic Recommender System. | Weixin Chen, Yuhan Zhao, Jingyuan Huang, Zihe Ye, Mingxuan Ju, Tong Zhao, Neil Shah, Li Chen, Yongfeng Zhang |
| 2026 | ACL | Hierarchical Token Prepending: Enhancing Information Flow in Decoder-based LLM Embeddings. | Xueying Ding, Xingyue Huang, Mingxuan Ju, Liam Collins, Yozen Liu, Leman Akoglu, Neil Shah, Tong Zhao |
| 2026 | ACL | Threshold Differential Attention for Sink-Free, Ultra-Sparse, and Non-Dispersive Language Modeling. | Xingyue Huang, Xueying Ding, Mingxuan Ju, Yozen Liu, Neil Shah, Tong Zhao |
| 2026 | SIGIR | Beyond Unimodal Perspectives: Generative Retrieval with Multimodal Semantics. | Jing Zhu, Mingxuan Ju, Yozen Liu, Shubham Vij, Danai Koutra, Neil Shah, Tong Zhao |
| 2026 | WSDM | Sequential Data Augmentation for Generative Recommendation. | Geon Lee, Bhuvesh Kumar, Mingxuan Ju, Tong Zhao, Kijung Shin, Neil Shah, Liam Collins |
| 2025 | CIKM | MI4Rec: Pretrained Language Model based Cold-Start Recommendation with Meta-Item Embeddings. | Zaiyi Zheng, Yaochen Zhu, Haochen Liu, Mingxuan Ju, Tong Zhao, Neil Shah, Jundong Li |
| 2025 | ICML | Learning Along the Arrow of Time: Hyperbolic Geometry for Backward-Compatible Representation Learning. | Ngoc Bui, Menglin Yang, Runjin Chen, Leonardo Neves, Mingxuan Ju, Rex Ying, Neil Shah, Tong Zhao |
| 2025 | KDD | On the Role of Weight Decay in Collaborative Filtering: A Popularity Perspective. | Donald Loveland, Mingxuan Ju, Tong Zhao, Neil Shah, Danai Koutra |
| 2025 | KDD | MOPI-HFRS: A Multi-objective Personalized Health-aware Food Recommendation System with LLM-enhanced Interpretation. | Zheyuan Zhang, Zehong Wang, Tianyi Ma, Varun Sameer Taneja, Sofia Nelson, Nhi Ha Lan Le, Keerthiram Murugesan, Mingxuan Ju, Nitesh V. Chawla, Chuxu Zhang, Yanfang Ye |
| 2025 | RecSys | Non-parametric Graph Convolution for Re-ranking in Recommendation Systems. | Zhongyu Ouyang, Mingxuan Ju, Soroush Vosoughi, Yanfang Ye |
| 2025 | WWW | Understanding and Scaling Collaborative Filtering Optimization from the Perspective of Matrix Rank. | Donald Loveland, Xinyi Wu, Tong Zhao, Danai Koutra, Neil Shah, Mingxuan Ju |
| 2025 | WWW | Improving Out-of-Vocabulary Hashing in Recommendation Systems. | William Shiao, Mingxuan Ju, Zhichun Guo, Xin Chen, Evangelos E. Papalexakis, Tong Zhao, Neil Shah, Yozen Liu |
| 2025 | WWW | GraphHash: Graph Clustering Enables Parameter Efficiency in Recommender Systems. | Xinyi Wu, Donald Loveland, Runjin Chen, Yozen Liu, Xin Chen, Leonardo Neves, Ali Jadbabaie, Mingxuan Ju, Neil Shah, Tong Zhao |
| 2024 | ICML | From Coarse to Fine: Enable Comprehensive Graph Self-supervised Learning with Multi-granular Semantic Ensemble. | Qianlong Wen, Mingxuan Ju, Zhongyu Ouyang, Chuxu Zhang, Yanfang Ye |
| 2023 | AAAI | Let Graph Be the Go Board: Gradient-Free Node Injection Attack for Graph Neural Networks via Reinforcement Learning. | Mingxuan Ju, Yujie Fan, Chuxu Zhang, Yanfang Ye |
| 2023 | ECIR | Leveraging Comment Retrieval for Code Summarization. | Shifu Hou, Lingwei Chen, Mingxuan Ju, Yanfang Ye |
| 2023 | ICLR | Generate rather than Retrieve: Large Language Models are Strong Context Generators. | Wenhao Yu, Dan Iter, Shuohang Wang, Yichong Xu, Mingxuan Ju, Soumya Sanyal, Chenguang Zhu, Michael Zeng, Meng Jiang |
| 2023 | ICLR | Multi-task Self-supervised Graph Neural Networks Enable Stronger Task Generalization. | Mingxuan Ju, Tong Zhao, Qianlong Wen, Wenhao Yu, Neil Shah, Yanfang Ye, Chuxu Zhang |
| 2023 | ICLR | Chasing All-Round Graph Representation Robustness: Model, Training, and Optimization. | Chunhui Zhang, Yijun Tian, Mingxuan Ju, Zheyuan Liu, Yanfang Ye, Nitesh V. Chawla, Chuxu Zhang |
| 2023 | WSDM | Self-Supervised Graph Structure Refinement for Graph Neural Networks. | Jianan Zhao, Qianlong Wen, Mingxuan Ju, Chuxu Zhang, Yanfang Ye |
| 2022 | AAAI | Adaptive Kernel Graph Neural Network. | Mingxuan Ju, Shifu Hou, Yujie Fan, Jianan Zhao, Yanfang Ye, Liang Zhao |
| 2022 | EMNLP | Grape: Knowledge Graph Enhanced Passage Reader for Open-domain Question Answering. | Mingxuan Ju, Wenhao Yu, Tong Zhao, Chuxu Zhang, Yanfang Ye |
| 2022 | SDM | Heterogeneous Temporal Graph Neural Network. | Yujie Fan, Mingxuan Ju, Chuxu Zhang, Yanfang Ye |
| 2021 | AAAI | Disentangled Representation Learning in Heterogeneous Information Network for Large-scale Android Malware Detection in the COVID-19 Era and Beyond. | Shifu Hou, Yujie Fan, Mingxuan Ju, Yanfang Ye, Wenqiang Wan, Kui Wang, Yinming Mei, Qi Xiong, Fudong Shao |
| 2021 | KDD | Heterogeneous Temporal Graph Transformer: An Intelligent System for Evolving Android Malware Detection. | Yujie Fan, Mingxuan Ju, Shifu Hou, Yanfang Ye, Wenqiang Wan, Kui Wang, Yinming Mei, Qi Xiong |
| 2021 | WWW | Dr.Emotion: Disentangled Representation Learning for Emotion Analysis on Social Media to Improve Community Resilience in the COVID-19 Era and Beyond. | Mingxuan Ju, Wei Song, Shiyu Sun, Yanfang Ye, Yujie Fan, Shifu Hou, Kenneth A. Loparo, Liang Zhao |
| 2020 | CIKM | Community Mitigation: A Data-driven System for COVID-19 Risk Assessment in a Hierarchical Manner. | Yanfang Ye, Yujie Fan, Shifu Hou, Yiming Zhang, Yiyue Qian, Shiyu Sun, Qian Peng, Mingxuan Ju, Wei Song, Kenneth A. Loparo |