Yujia Zheng
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
30
Venues
15
Active years
2020–2026
Best venue rank
A*
Where they publish
Papers
30 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | ACL | Mechanistic Interpretability Should Prioritize Feature Consistency in Sparse Autoencoders. | Xiangchen Song, Aashiq Muhamed, Yujia Zheng, Lingjing Kong, Zeyu Tang, Mona T. Diab, Virginia Smith, Kun Zhang |
| 2026 | EACL | Are All Prompt Components Value-Neutral? Understanding the Heterogeneous Adversarial Robustness of Dissected Prompt in LLMs. | Yujia Zheng, Tianhao Li, Haotian Huang, Tianyu Zeng, Jingyu Lu, Chuangxin Chu, Yuekai Huang, Ziyou Jiang, Qian Xiong, Yuyao Ge, Mingyang Li |
| 2026 | ETRA | Exploratory Integration of EEG Spectral Features and Gaze Variability for Mild Cognitive Impairment Discrimination. | Takeru Mukunoki, Mamoru Hiroe, Minoru Nakayama, Yujia Zheng, Yuma Sonoda, Hisatomo Kowa, Takashi Nagamatsu |
| 2025 | AISTATS | Type Information-Assisted Self-Supervised Knowledge Graph Denoising. | Jiaqi Sun, Yujia Zheng, Xinshuai Dong, Haoyue Dai, Kun Zhang |
| 2025 | AISTATS | Nonparametric Factor Analysis and Beyond. | Yujia Zheng, Yang Liu, Jiaxiong Yao, Yingyao Hu, Kun Zhang |
| 2025 | CVPR | SmartCLIP: Modular Vision-language Alignment with Identification Guarantees. | Shaoan Xie, Lingjing, Yujia Zheng, Yu Yao, Zeyu Tang, Eric P. Xing, Guangyi Chen, Kun Zhang |
| 2025 | ETRA | Dementia detection by gaze using visuospatial memory task with CNN. | Takeru Mukunoki, Junichi Nagasawa, Yuichi Nakata, Mamoru Hiroe, Yujia Zheng, Minoru Nakayama, Yuma Sonoda, Hisatomo Kowa, Takashi Nagamatsu |
| 2025 | ICLR | Synergy Between Sufficient Changes and Sparse Mixing Procedure for Disentangled Representation Learning. | Zijian Li, Shunxing Fan, Yujia Zheng, Ignavier Ng, Shaoan Xie, Guangyi Chen, Xinshuai Dong, Ruichu Cai, Kun Zhang |
| 2025 | ICLR | Identification of Intermittent Temporal Latent Process. | Yuke Li, Yujia Zheng, Guangyi Chen, Kun Zhang, Heng Huang |
| 2025 | ICLR | Causal Representation Learning from Multimodal Biomedical Observations. | Yuewen Sun, Lingjing Kong, Guangyi Chen, Loka Li, Gongxu Luo, Zijian Li, Yixuan Zhang, Yujia Zheng, Mengyue Yang, Petar Stojanov, Eran Segal, Eric P. Xing, Kun Zhang |
| 2025 | ICML | Nonparametric Identification of Latent Concepts. | Yujia Zheng, Shaoan Xie, Kun Zhang |
| 2025 | ICML | A General Representation-Based Approach to Multi-Source Domain Adaptation. | Ignavier Ng, Yan Li, Zijian Li, Yujia Zheng, Guangyi Chen, Kun Zhang |
| 2025 | ICML | Learning Vision and Language Concepts for Controllable Image Generation. | Shaoan Xie, Lingjing Kong, Yujia Zheng, Zeyu Tang, Eric P. Xing, Guangyi Chen, Kun Zhang |
| 2025 | KDD | Causal Discovery through Synergizing Large Language Model and Data-Driven Reasoning. | Huaming Du, Yujia Zheng, Baoyu Jing, Yu Zhao, Gang Kou, Guisong Liu, Tao Gu, Weimin Li, Carl Yang |
| 2025 | KES | Dynamic Time Warping Analysis of Smooth Pursuit Eye Movements for Dementia Detection. | Mamoru Hiroe, Yutaka Kawaguchi, Kentaro Takemura, Yujia Zheng, Hisatomo Kowa, Takashi Nagamatsu |
| 2024 | ACE | A Comparative Study of AI-Generated (GPT-4) and Human-crafted MCQs in Programming Education. | Jacob Doughty, Zipiao Wan, Anishka Bompelli, Jubahed Qayum, Taozhi Wang, Juran Zhang, Yujia Zheng, Aidan Doyle, Pragnya Sridhar, Arav Agarwal, Christopher Bogart, Eric Keylor, Can Kltr, Jaromr Savelka, Majd Sakr |
| 2024 | AISTATS | Local Causal Discovery with Linear non-Gaussian Cyclic Models. | Haoyue Dai, Ignavier Ng, Yujia Zheng, Zhengqing Gao, Kun Zhang |
| 2024 | ETRA | Attempts on detecting Alzheimer's disease by fine-tuning pre-trained model with Gaze Data. | Junichi Nagasawa, Yuichi Nakata, Mamoru Hiroe, Yujia Zheng, Yutaka Kawaguchi, Yuji Maegawa, Naoki Hojo, Tetsuya Takiguchi, Minoru Nakayama, Maki Uchimura, Yuma Sonoda, Hisatomo Kowa, Takashi Nagamatsu |
| 2024 | ETRA | Attempts on detecting Alzheimer's disease by fine-tuning pre-trained model with Gaze Data. | Junichi Nagasawa, Yuichi Nakata, Mamoru Hiroe, Yujia Zheng, Yutaka Kawaguchi, Yuji Maegawa, Naoki Hojo, Tetsuya Takiguchi, Minoru Nakayama, Maki Uchimura, Yuma Sonoda, Hisatomo Kowa, Takashi Nagamatsu |
| 2024 | ICLR | A Versatile Causal Discovery Framework to Allow Causally-Related Hidden Variables. | Xinshuai Dong, Biwei Huang, Ignavier Ng, Xiangchen Song, Yujia Zheng, Songyao Jin, Roberto Legaspi, Peter Spirtes, Kun Zhang |
| 2024 | ICML | Causal Representation Learning from Multiple Distributions: A General Setting. | Kun Zhang, Shaoan Xie, Ignavier Ng, Yujia Zheng |
| 2024 | ICML | Detecting and Identifying Selection Structure in Sequential Data. | Yujia Zheng, Zeyu Tang, Yiwen Qiu, Bernhard Schlkopf, Kun Zhang |
| 2024 | WWW | Whole Page Unbiased Learning to Rank. | Haitao Mao, Lixin Zou, Yujia Zheng, Jiliang Tang, Xiaokai Chu, Jiashu Zhao, Qian Wang, Dawei Yin |
| 2024 | WSDM | Source Free Graph Unsupervised Domain Adaptation. | Haitao Mao, Lun Du, Yujia Zheng, Qiang Fu, Zelin Li, Xu Chen, Shi Han, Dongmei Zhang |
| 2023 | ICLR | Generalized Precision Matrix for Scalable Estimation of Nonparametric Markov Networks. | Yujia Zheng, Ignavier Ng, Yewen Fan, Kun Zhang |
| 2022 | ICML | Partial disentanglement for domain adaptation. | Lingjing Kong, Shaoan Xie, Weiran Yao, Yujia Zheng, Guangyi Chen, Petar Stojanov, Victor Akinwande, Kun Zhang |
| 2021 | AAAI | Cold-start Sequential Recommendation via Meta Learner. | Yujia Zheng, Siyi Liu, Zekun Li, Shu Wu |
| 2021 | KDD | Learning Elastic Embeddings for Customizing On-Device Recommenders. | Tong Chen, Hongzhi Yin, Yujia Zheng, Zi Huang, Yang Wang, Meng Wang |
| 2020 | ICDM | DGTN: Dual-channel Graph Transition Network for Session-based Recommendation. | Yujia Zheng, Siyi Liu, Zekun Li, Shu Wu |
| 2020 | RecSys | Long-tail Session-based Recommendation. | Siyi Liu, Yujia Zheng |