Authors · raw publication identity

Yan Ge

全分野 · 掲載済みの全期間(2022–2025年)

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対象会議のFull paperを全分野・掲載済み全期間でまとめています。1996~2025年の追加分には、氏名の一致・表記の正規化等に基づき同一人物と推定した対応を含みます。本人確認済みの対応や出版時所属の確認とは区別しています。表示する大学は著者ページの識別用で、過去論文の出版時所属や現在所属を示しません。追加分は大学ランキングやEdition別の件数に含みません。保存済みの1996~2025年の対象資料から確認できた範囲を追加しており、全業績の網羅を保証するものではありません。

著者ページの大学: 筑波大学 · Top conference papers: 19

分野別内訳

分野別の本数はcross-listにより重なる場合があります。合計本数は同一論文を1本に数えます。

年別内訳

論文一覧(新しい年順)

  1. 2025 · AAAI

    MP: Endowing Large Language Models with Lateral Thinking

    Tian Bai, Yongwang Cao, Yan Ge, Haitao Yu [筑波大学] [筑波大学]

    AI (General)

    筑波大学

  2. 2025 · CVPR

    Interpretable Generative Models through Post-hoc Concept Bottlenecks

    Akshay Kulkarni, Ge Yan, Chung-En Sun, Tuomas Oikarinen, Tsui-Wei Weng

    Computer Vision

    著者の全期間ページへの追加分(出版時所属は示していません)

  3. 2025 · EMNLP

    ThinkEdit: Interpretable Weight Editing to Mitigate Overly Short Thinking in Reasoning Models

    Chung-En Sun, Ge Yan, Tsui-Wei Weng

    Natural Language Processing

    著者の全期間ページへの追加分(出版時所属は示していません)

  4. 2025 · ICML

    Evaluating Neuron Explanations: A Unified Framework with Sanity Checks

    Tuomas Oikarinen, Ge Yan, Tsui-Wei Weng

    Machine Learning

    著者の全期間ページへの追加分(出版時所属は示していません)

  5. 2025 · ICML

    QuanONet: Quantum Neural Operator with Application to Differential Equation

    Ruocheng Wang, Zhuo Xia, Ge Yan, Junchi Yan

    Machine Learning

    著者の全期間ページへの追加分(出版時所属は示していません)

  6. 2025 · IROS

    DNAct: Diffusion Guided Multi-Task 3D Policy Learning

    Ge Yan, Yueh-Hua Wu, Xiaolong Wang

    Robotics

    著者の全期間ページへの追加分(出版時所属は示していません)

  7. 2024 · ICCAD

    On Reducing the Execution Latency of Superconducting Quantum Processors via Quantum Job Scheduling

    Wenjie Wu, Yiquan Wang, Ge Yan, Yuming Zhao, Bo Zhang, Junchi Yan

    Design Automation

    著者の全期間ページへの追加分(出版時所属は示していません)

  8. 2024 · ICLR

    Provably Robust Conformal Prediction with Improved Efficiency

    Ge Yan, Yaniv Romano, Tsui-Wei Weng

    Machine Learning

    著者の全期間ページへの追加分(出版時所属は示していません)

  9. 2024 · ICLR

    Rethinking the symmetry-preserving circuits for constrained variational quantum algorithms

    Ge Yan, Hongxu Chen, Kaisen Pan, Junchi Yan

    Machine Learning

    著者の全期間ページへの追加分(出版時所属は示していません)

  10. 2024 · ICRA

    Open X-Embodiment: Robotic Learning Datasets and RT-X Models : Open X-Embodiment Collaboration0

    Abby O’Neill, Abdul Rehman, Abhiram Maddukuri, Abhishek Gupta, Abhishek Padalkar, Abraham Lee, Acorn Pooley, Agrim Gupta, Ajay Mandlekar, Ajinkya Jain, Albert Tung, Alex Bewley, Alex Herzog, Alex Irpan, Alexander Khazatsky, Anant Rai, Anchit Gupta, Andrew Wang, Anikait Singh, Animesh Garg, Aniruddha Kembhavi, Annie Xie, Anthony Brohan, Antonin Raffin, Archit Sharma, Arefeh Yavary, Arhan Jain, Ashwin Balakrishna, Ayzaan Wahid, Ben Burgess-Limerick, Beomjoon Kim, Bernhard Schölkopf, Blake Wulfe, Brian Ichter, Cewu Lu, Charles Xu, Charlotte Le, Chelsea Finn, Chen Wang, Chenfeng Xu, Cheng Chi, Chenguang Huang, Christine Chan, Christopher Agia, Chuer Pan, Chuyuan Fu, Coline Devin, Danfei Xu, Daniel Morton, Danny Driess, Daphne Chen, Deepak Pathak, Dhruv Shah, Dieter Büchler, Dinesh Jayaraman, Dmitry Kalashnikov, Dorsa Sadigh, Edward Johns, Ethan Foster, Fangchen Liu, Federico Ceola, Fei Xia, Feiyu Zhao, Freek Stulp, Gaoyue Zhou, Gaurav S. Sukhatme, Gautam Salhotra, Ge Yan, Gilbert Feng, Giulio Schiavi, Glen Berseth, Gregory Kahn, Guanzhi Wang, Hao Su, Hao-Shu Fang, Haochen Shi, Henghui Bao, Heni Ben Amor, Henrik I Christensen, Hiroki Furuta, Homer Walke, Hongjie Fang, Huy Ha, Igor Mordatch, Ilija Radosavovic, Isabel Leal, Jacky Liang, Jad Abou-Chakra, Jaehyung Kim, Jaimyn Drake, Jan Peters, Jan Schneider, Jasmine Hsu, Jeannette Bohg, Jeffrey Bingham, Jeffrey Wu, Jensen Gao, Jiaheng Hu, Jiajun Wu, Jialin Wu, Jiankai Sun, Jianlan Luo, Jiayuan Gu, Jie Tan, Jihoon Oh, Jimmy Wu, Jingpei Lu, Jingyun Yang, Jitendra Malik, João Silvério, Joey Hejna, Jonathan Booher, Jonathan Tompson, Jonathan Yang, Jordi Salvador, Joseph J. Lim, Junhyek Han, Kaiyuan Wang, Kanishka Rao, Karl Pertsch, Karol Hausman, Keegan Go, Keerthana Gopalakrishnan, Ken Goldberg, Kendra Byrne, Kenneth Oslund, Kento Kawaharazuka, Kevin Black, Kevin Lin, Kevin Zhang, Kiana Ehsani, Kiran Lekkala, Kirsty Ellis, Krishan Rana, Krishnan Srinivasan, Kuan Fang, Kunal Pratap Singh, Kuo-Hao Zeng, Kyle Hatch, Kyle Hsu, Laurent Itti, Lawrence Yunliang Chen, Lerrel Pinto, Li Fei-Fei, Liam Tan, Linxi Jim Fan, Lionel Ott, Lisa Lee, Luca Weihs, Magnum Chen, Marion Lepert, Marius Memmel, Masayoshi Tomizuka, Masha Itkina, Mateo Guaman Castro, Max Spero, Maximilian Du, Michael Ahn, Michael C. Yip, Mingtong Zhang, Mingyu Ding, Minho Heo, Mohan Kumar Srirama, Mohit Sharma, Moo Jin Kim, Naoaki Kanazawa, Nicklas Hansen, Nicolas Heess, Nikhil J Joshi, Niko Suenderhauf, Ning Liu, Norman Di Palo, Nur Muhammad Mahi Shafiullah, Oier Mees, Oliver Kroemer, Osbert Bastani, Pannag R Sanketi, Patrick Tree Miller, Patrick Yin, Paul Wohlhart, Peng Xu, Peter David Fagan, Peter Mitrano, Pierre Sermanet, Pieter Abbeel, Priya Sundaresan, Qiuyu Chen, Quan Vuong, Rafael Rafailov, Ran Tian, Ria Doshi, Roberto Martín-Martín, Rohan Baijal, Rosario Scalise, Rose Hendrix, Roy Lin, Runjia Qian, Ruohan Zhang, Russell Mendonca, Rutav Shah, Ryan Hoque, Ryan Julian, Samuel Bustamante, Sean Kirmani, Sergey Levine, Shan Lin, Sherry Moore, Shikhar Bahl, Shivin Dass, Shubham Sonawani, Shuran Song, Sichun Xu, Siddhant Haldar, Siddharth Karamcheti, Simeon Adebola, Simon Guist, Soroush Nasiriany, Stefan Schaal, Stefan Welker, Stephen Tian, Subramanian Ramamoorthy, Sudeep Dasari, Suneel Belkhale, Sungjae Park, Suraj Nair, Suvir Mirchandani, Takayuki Osa, Tanmay Gupta, Tatsuya Harada, Tatsuya Matsushima, Ted Xiao, Thomas Kollar, Tianhe Yu, Tianli Ding, Todor Davchev, Tony Z. Zhao, Travis Armstrong, Trevor Darrell, Trinity Chung, Vidhi Jain, Vincent Vanhoucke, Wei Zhan, Wenxuan Zhou, Wolfram Burgard, Xi Chen, Xiaolong Wang, Xinghao Zhu, Xinyang Geng, Xiyuan Liu, Xu Liangwei, Xuanlin Li, Yao Lu, Yecheng Jason Ma, Yejin Kim, Yevgen Chebotar, Yifan Zhou, Yifeng Zhu, Yilin Wu, Ying Xu, Yixuan Wang, Yonatan Bisk, Yoonyoung Cho, Youngwoon Lee, Yuchen Cui, Yue Cao, Yueh-Hua Wu, Yujin Tang, Yuke Zhu, Yunchu Zhang, Yunfan Jiang, Yunshuang Li, Yunzhu Li, Yusuke Iwasawa, Yutaka Matsuo, Zehan Ma, Zhuo Xu, Zichen Jeff Cui, Zichen Zhang, Zipeng Lin

    Robotics

    著者の全期間ページへの追加分(出版時所属は示していません)

  11. 2024 · NeurIPS

    Rethinking Parity Check Enhanced Symmetry-Preserving Ansatz

    Ge Yan, Mengfei Ran, Ruocheng Wang, Kaiseng Pan, Junchi Yan

    Machine Learning

    著者の全期間ページへの追加分(出版時所属は示していません)

  12. 2024 · NeurIPS

    VLG-CBM: Training Concept Bottleneck Models with Vision-Language Guidance

    Divyansh Srivastava, Ge Yan, Tsui-Wei Weng

    Machine Learning

    著者の全期間ページへの追加分(出版時所属は示していません)

  13. 2023 · ICML

    QAS-Bench: Rethinking Quantum Architecture Search and A Benchmark

    Xudong Lu, Kaisen Pan, Ge Yan, Jiaming Shan, Wenjie Wu, Junchi Yan

    Machine Learning

    著者の全期間ページへの追加分(出版時所属は示していません)

  14. 2023 · ICML

    Quantum 3D Graph Learning with Applications to Molecule Embedding

    Ge Yan, Huaijin Wu, Junchi Yan

    Machine Learning

    著者の全期間ページへの追加分(出版時所属は示していません)

  15. 2023 · ICML

    QuantumDARTS: Differentiable Quantum Architecture Search for Variational Quantum Algorithms

    Wenjie Wu, Ge Yan, Xudong Lu, Kaisen Pan, Junchi Yan

    Machine Learning

    著者の全期間ページへの追加分(出版時所属は示していません)

  16. 2023 · ICML

    Towards Quantum Machine Learning for Constrained Combinatorial Optimization: a Quantum QAP Solver

    Xinyu Ye, Ge Yan, Junchi Yan

    Machine Learning

    著者の全期間ページへの追加分(出版時所属は示していません)

  17. 2023 · KDD

    VQNE: Variational Quantum Network Embedding with Application to Network Alignment

    Xinyu Ye, Ge Yan, Junchi Yan

    Web, Data Mining & Information Retrieval

    著者の全期間ページへの追加分(出版時所属は示していません)

  18. 2022 · CHI

    StoryDrawer: A Child-AI Collaborative Drawing System to Support Children's Creative Visual Storytelling

    Chao Zhang, Cheng Yao, Jiayi Wu, Weijia Lin, Lijuan Liu, Ge Yan, Fangtian Ying

    Human–Computer Interaction

    著者の全期間ページへの追加分(出版時所属は示していません)

  19. 2022 · KDD

    Towards a Native Quantum Paradigm for Graph Representation Learning

    Ge Yan, Yehui Tang, Junchi Yan

    Web, Data Mining & Information Retrieval

    著者の全期間ページへの追加分(出版時所属は示していません)