Wu, Jun

35 publications

AAAI 2025 Addressing Cold-Start Problem in Click-Through Rate Prediction via Supervised Diffusion Modeling Wenqiao Zhu, Lulu Wang, Jun Wu

AAAI 2025 Alleviating Dual Biases in Recommendation (Student Abstract) Sijin Lu, Fangyuan Luo, Jun Wu

ICML 2025 BackSlash: Rate Constrained Optimized Training of Large Language Models Jun Wu, Jiangtao Wen, Yuxing Han

AISTATS 2025 Invariant Link Selector for Spatial-Temporal Out-of-Distribution Problem Katherine Tieu, Dongqi Fu, Jun Wu, Jingrui He

AAAI 2025 KGCRR: An Effective Metric-Driven Knowledge Graph Completion Framework by Designing a Novel Upper Bound Function with Adaptive Approximation to Reciprocal Rank Kuan Xu, Kuo Yang, Jian Liu, Xiangkui Lu, Jun Wu, Xuezhong Zhou

ICML 2025 LensLLM: Unveiling Fine-Tuning Dynamics for LLM Selection Xinyue Zeng, Haohui Wang, Junhong Lin, Jun Wu, Tyler Cody, Dawei Zhou

NeurIPS 2025 MobileODE: An Extra Lightweight Network Le Yu, Jun Wu, Bo Gou, Xiangde Min, Lei Zhang, Zhang Yi, Tao He

NeurIPS 2025 Purest Quantum State Identification Yingqi Yu, Honglin Chen, Jun Wu, Wei Xie, Xiangyang Li

AAAI 2025 Top-One Recommendation with Anonymous User Behaviors (Student Abstract) Xiangkui Lu, Jun Wu

AAAI 2025 Towards Trustworthy Machine Learning Under Distribution Shifts Jun Wu

JAIR 2025 Trustworthy Transfer Learning: A Survey Jun Wu, Jingrui He

IJCAI 2024 A Lightweight U-like Network Utilizing Neural Memory Ordinary Differential Equations for Slimming the Decoder Quansong He, Xiaojun Yao, Jun Wu, Zhang Yi, Tao He

AISTATS 2024 BOBA: Byzantine-Robust Federated Learning with Label Skewness Wenxuan Bao, Jun Wu, Jingrui He

AAAI 2024 CTO-SLAM: Contour Tracking for Object-Level Robust 4D SLAM Xiaohan Li, Dong Liu, Jun Wu

AAAI 2024 Optimizing Recall in Deep Graph Hashing Framework for Item Retrieval (Student Abstract) Fangyuan Luo, Jun Wu

NeurIPS 2023 Graph-Structured Gaussian Processes for Transferable Graph Learning Jun Wu, Lisa Ainsworth, Andrew Leakey, Haixun Wang, Jingrui He

AAAI 2023 Non-IID Transfer Learning on Graphs Jun Wu, Jingrui He, Elizabeth A. Ainsworth

ICML 2023 Optimizing the Collaboration Structure in Cross-Silo Federated Learning Wenxuan Bao, Haohan Wang, Jun Wu, Jingrui He

ICCV 2023 PADCLIP: Pseudo-Labeling with Adaptive Debiasing in CLIP for Unsupervised Domain Adaptation Zhengfeng Lai, Noranart Vesdapunt, Ning Zhou, Jun Wu, Cong Phuoc Huynh, Xuelu Li, Kah Kuen Fu, Chen-Nee Chuah

AAAI 2023 Semi-Supervised Review-Aware Rating Regression (Student Abstract) Xiangkui Lu, Jun Wu

AAAI 2022 A Hybrid Evolutionary Algorithm for the Diversified Top-K Weight Clique Search Problem (Student Abstract) Jun Wu, Minghao Yin

IJCAI 2022 A Unified Meta-Learning Framework for Dynamic Transfer Learning Jun Wu, Jingrui He

TMLR 2022 Can You Win Everything with a Lottery Ticket? Tianlong Chen, Zhenyu Zhang, Jun Wu, Randy Huang, Sijia Liu, Shiyu Chang, Zhangyang Wang

IJCAI 2022 Discrete Listwise Personalized Ranking for Fast Top-N Recommendation with Implicit Feedback Fangyuan Luo, Jun Wu, Tao Wang

NeurIPS 2022 Distribution-Informed Neural Networks for Domain Adaptation Regression Jun Wu, Jingrui He, Sheng Wang, Kaiyu Guan, Elizabeth Ainsworth

IJCAI 2022 HEA-D: A Hybrid Evolutionary Algorithm for Diversified Top-K Weight Clique Search Problem Jun Wu, Chu Min Li, Yupeng Zhou, Minghao Yin, Xin Xu, Dangdang Niu

AAAI 2021 DeHiB: Deep Hidden Backdoor Attack on Semi-Supervised Learning via Adversarial Perturbation Zhicong Yan, Gaolei Li, Yuan Tian, Jun Wu, Shenghong Li, Mingzhe Chen, H. Vincent Poor

AAAI 2021 Fitting the Search Space of Weight-Sharing NAS with Graph Convolutional Networks Xin Chen, Lingxi Xie, Jun Wu, Longhui Wei, Yuhui Xu, Qi Tian

AAAI 2021 Local Search for Diversified Top-K S-Plex Search Problem (Student Abstract) Jun Wu, Minghao Yin

AAAI 2021 Semi-Discrete Social Recommendation (Student Abstract) Fangyuan Luo, Jun Wu, Haishuai Wang

AAAI 2020 A Multi-Unit Profit Competitive Mechanism for Cellular Traffic Offloading Jun Wu, Yu Qiao, Lei Zhang, Chongjun Wang, Meilin Liu

UAI 2020 Structure Learning for Cyclic Linear Causal Models Carlos Amendola, Philipp Dettling, Mathias Drton, Federica Onori, Jun Wu

AAAI 2017 Boosting for Real-Time Multivariate Time Series Classification Haishuai Wang, Jun Wu

ECCV 2016 Branching Path Following for Graph Matching Tao Wang, Haibin Ling, Congyan Lang, Jun Wu

AAAI 2013 Planning with Multi-Valued Landmarks Lei Zhang, Chong-Jun Wang, Jun Wu, Meilin Liu, Jun-Yuan Xie