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• ST-LLM: Spatial Transcriptomics Embedding with Large Language Models

  Zhetao Xu, Xiaohua Wan, Le Li, Shuang Feng, Yiming Zhang, Fa Zhang, Bin Hu

  34178-34186

  2026-03-14

• Co-GCN for Multi-View Semi-Supervised Learning

  Shu Li, Wen-Tao Li, Wei Wang

  4691-4698

  2020-04-03

• Towards Societal Impact of AI

  Chuxu Zhang

  15463-15463

  2024-07-15

• I Open at the Close: A Deep Reinforcement Learning Evaluation of Open Streets Initiatives

  R. Teal Witter, Lucas Rosenblatt

  22429-22437

  2024-03-24

• Practical Federated Gradient Boosting Decision Trees

  Qinbin Li, Zeyi Wen, Bingsheng He

  4642-4649

  2020-04-03

• RGMP: Recurrent Geometric-prior Multimodal Policy for Generalizable Humanoid Robot Manipulation

  Xuetao Li, Wenke Huang, Nengyuan Pan, Kaiyan Zhao, Songhua Yang, Yiming Wang, Mengde Li, Mang Ye, Jifeng Xuan, Miao Li

  15153-15161

  2026-03-14

• Fast Generalized Distillation for Semi-Supervised Domain Adaptation

  Shuang Ao, Xiang Li, Charles Ling

  2017-02-13

• Incomplete Multi-view Clustering via Diffusion Contrastive Generation

  Yuanyang Zhang, Yijie Lin, Weiqing Yan, Li Yao, Xinhang Wan, Guangyuan Li, Chao Zhang, Guanzhou Ke, Jie Xu

  22650-22658

  2025-04-11

• Stable Prediction with Model Misspecification and Agnostic Distribution Shift

  Kun Kuang, Ruoxuan Xiong, Peng Cui, Susan Athey, Bo Li

  4485-4492

  2020-04-03

• Transfer Learning from Deep Features for Remote Sensing and Poverty Mapping

  Michael Xie, Neal Jean, Marshall Burke, David Lobell, Stefano Ermon

  2016-03-05

• Sub-Merge: Diving Down to the Attribute-Value Level in Statistical Schema Matching

  Zhe Lim, Benjamin Rubinstein

  2015-02-18

• Prajna: Towards Recognizing Whatever You Want from Images without Image Labeling

  Xian-Sheng Hua, Jin Li

  2015-02-09

• Latent Low-Rank Transfer Subspace Learning for Missing Modality Recognition

  Zhengming Ding, Shao Ming, Yun Fu

  2014-06-21

• Selective Transfer Between Learning Tasks Using Task-Based Boosting

  Eric Eaton, Marie desJardins

  337-343

  2011-08-04

• Automatic Group Sparse Coding

  Fei Wang, Noah Lee, Jimeng Sun, Jianying Hu, Shahram Ebadollahi

  495-500

  2011-08-04

• Distributionally Adversarial Attack

  Tianhang Zheng, Changyou Chen, Kui Ren

  2253-2260

  2019-07-17

• Dis²Booth: Learning Image Distribution with Disentangled Features for Text-to-Image Diffusion Models

  Guanqi Ding, Chengyu Yang, Shuhui Wang, Xincheng Li, Jinzhe Zhang, Xin Jin, Qingming Huang

  2744-2752

  2025-04-11

• Decentralised Learning from Independent Multi-Domain Labels for Person Re-Identification

  Guile Wu, Shaogang Gong

  2898-2906

  2021-05-18

• MCGAN: Enhancing GAN Training with Regression-Based Generator Loss

  Baoren Xiao, Hao Ni, Weixin Yang

  21644-21652

  2025-04-11

• SPATE-GAN: Improved Generative Modeling of Dynamic Spatio-Temporal Patterns with an Autoregressive Embedding Loss

  Konstantin Klemmer, Tianlin Xu, Beatrice Acciaio, Daniel B. Neill

  4523-4531

  2022-06-28

• Factorized Inference in Deep Markov Models for Incomplete Multimodal Time Series

  Tan Zhi-Xuan, Harold Soh, Desmond Ong

  10334-10341

  2020-04-03

• Principled and Efficient Motif Finding for Structure Learning of Lifted Graphical Models

  Jonathan Feldstein, Dominic Phillips, Efthymia Tsamoura

  12205-12215

  2023-06-26

• Learning to Generate and Extract: A Multi-Agent Collaboration Framework for Zero-Shot Document-Level Event Arguments Extraction

  Guangjun Zhang, Hu Zhang, Yazhou Han, Yue Fan, Yuhang Shao, Hongye Tan, Ru Li

  34665-34673

  2026-03-14

• Automatic Bayesian Density Analysis

  Antonio Vergari, Alejandro Molina, Robert Peharz, Zoubin Ghahramani, Kristian Kersting, Isabel Valera

  5207-5215

  2019-07-17

• Concealing Sensitive Samples against Gradient Leakage in Federated Learning

  Jing Wu, Munawar Hayat, Mingyi Zhou, Mehrtash Harandi

  21717-21725

  2024-03-24