Zhang, Jiaqi

25 publications

NeurIPS 2025 Can Diffusion Models Disentangle? a Theoretical Perspective Liming Wang, Muhammad Jehanzeb Mirza, Yishu Gong, Yuan Gong, Jiaqi Zhang, Brian H. Tracey, Katerina Placek, Marco Vilela, James R. Glass

NeurIPS 2025 Ditch the Denoiser: Emergence of Noise Robustness in Self-Supervised Learning from Data Curriculum Wenquan Lu, Jiaqi Zhang, Hugues Van Assel, Randall Balestriero

NeurIPS 2025 FastDINOv2: Frequency Based Curriculum Learning Improves Robustness and Training Speed Jiaqi Zhang, Juntuo Wang, Zhixin Sun, John Zou, Randall Balestriero

ICML 2025 Probabilistic Factorial Experimental Design for Combinatorial Interventions Divya Shyamal, Jiaqi Zhang, Caroline Uhler

NeurIPS 2025 ReCon-GS: Continuum-Preserved Gaussian Streaming for Fast and Compact Reconstruction of Dynamic Scenes Jiaye Fu, Qiankun Gao, Chengxiang Wen, Yanmin Wu, Siwei Ma, Jiaqi Zhang, Jian Zhang

MLJ 2025 Sparse and Smooth Additive Isotonic Model in High-Dimensional Settings Jiaqi Zhang, Yiqin Wang, Meng Wang, Beilun Wang

ICLR 2025 TODO: Enhancing LLM Alignment with Ternary Preferences Yuxiang Guo, Lu Yin, Bo Jiang, Jiaqi Zhang

NeurIPS 2025 Trust Region Reward Optimization and Proximal Inverse Reward Optimization Algorithm Yang Chen, Menglin Zou, Jiaqi Zhang, Yitan Zhang, Junyi Yang, Gael Gendron, Libo Zhang, Jiamou Liu, Michael J. Witbrock

AAAI 2025 Unaligned Message-Passing and Contextualized-Pretraining for Robust Geo-Entity Resolution Yuwen Ji, Wenbo Xie, Jiaqi Zhang, Chao Wang, Ning Guo, Lei Shi, Yue Zhang

ICML 2024 Causal Discovery with Fewer Conditional Independence Tests Kirankumar Shiragur, Jiaqi Zhang, Caroline Uhler

NeurIPS 2024 Identifiability Guarantees for Causal Disentanglement from Purely Observational Data Ryan Welch, Jiaqi Zhang, Caroline Uhler

AISTATS 2024 Membership Testing in Markov Equivalence Classes via Independence Queries Jiaqi Zhang, Kirankumar Shiragur, Caroline Uhler

IJCAI 2024 Multi-Modality Spatio-Temporal Forecasting via Self-Supervised Learning Jiewen Deng, Renhe Jiang, Jiaqi Zhang, Xuan Song

ICML 2024 Towards Causal Foundation Model: On Duality Between Optimal Balancing and Attention Jiaqi Zhang, Joel Jennings, Agrin Hilmkil, Nick Pawlowski, Cheng Zhang, Chao Ma

NeurIPS 2023 Identifiability Guarantees for Causal Disentanglement from Soft Interventions Jiaqi Zhang, Kristjan Greenewald, Chandler Squires, Akash Srivastava, Karthikeyan Shanmugam, Caroline Uhler

NeurIPS 2023 Meek Separators and Their Applications in Targeted Causal Discovery Kirankumar Shiragur, Jiaqi Zhang, Caroline Uhler

CVPRW 2023 NTIRE 2023 Challenge on 360° Omnidirectional Image and Video Super-Resolution: Datasets, Methods and Results Mingdeng Cao, Chong Mou, Fanghua Yu, Xintao Wang, Yinqiang Zheng, Jian Zhang, Chao Dong, Gen Li, Ying Shan, Radu Timofte, Xiaopeng Sun, Weiqi Li, Zhenyu Zhang, Xuhan Sheng, Bin Chen, Haoyu Ma, Ming Cheng, Shijie Zhao, Wanwan Cui, Tianyu Xu, Chunyang Li, Long Bao, Heng Sun, Huaibo Huang, Xiaoqiang Zhou, Yuang Ai, Ran He, Renlong Wu, Yi Yang, Zhilu Zhang, Shuohao Zhang, Junyi Li, Yunjin Chen, Dongwei Ren, Wangmeng Zuo, Qian Wang, Hao-Hsiang Yang, Yi-Chung Chen, Zhi-Kai Huang, Wei-Ting Chen, Yuan-Chun Chiang, Hua-En Chang, I-Hsiang Chen, Chia-Hsuan Hsieh, Sy-Yen Kuo, Zebin Zhang, Jiaqi Zhang, Yuhui Wang, Shuhao Cui, Junshi Huang, Li Zhu, Shuman Tian, Wei Yu, Bingchun Luo

CVPRW 2023 NTIRE 2023 Image Shadow Removal Challenge Report Florin-Alexandru Vasluianu, Tim Seizinger, Radu Timofte, Shuhao Cui, Junshi Huang, Shuman Tian, Mingyuan Fan, Jiaqi Zhang, Li Zhu, Xiaoming Wei, Xiaolin Wei, Ziwei Luo, Fredrik K. Gustafsson, Zheng Zhao, Jens Sjölund, Thomas B. Schön, Xiaoyi Dong, Xi Sheryl Zhang, Chenghua Li, Cong Leng, Woon-Ha Yeo, Wang-Taek Oh, Yeoreum Lee, Han-Cheol Ryu, Jinting Luo, Chengzhi Jiang, Mingyan Han, Qi Wu, Wenjie Lin, Lei Yu, Xinpeng Li, Ting Jiang, Haoqiang Fan, Shuaicheng Liu, Shuning Xu, Binbin Song, Xiangyu Chen, Shile Zhang, Jiantao Zhou, Zhao Zhang, Suiyi Zhao, Huan Zheng, Yangcheng Gao, Yanyan Wei, Bo Wang, Jiahuan Ren, Yan Luo, Yuki Kondo, Riku Miyata, Fuma Yasue, Taito Naruki, Norimichi Ukita, Hua-En Chang, Hao-Hsiang Yang, Yi-Chung Chen, Yuan-Chun Chiang, Zhi-Kai Huang, Wei-Ting Chen, I-Hsiang Chen, Chia-Hsuan Hsieh, Sy-Yen Kuo, Xianwei Li, Huiyuan Fu, Chunlin Liu, Huadong Ma, Binglan Fu, Huiming He, Mengjia Wang, Wenxuan She, Yu Liu, Sabari Nathan, Priya Kansal, Zhongjian Zhang, Huabin Yang, Yan Wang, Yanru Zhang, Shruti S. Phutke, Ashutosh Kulkarni, Md Raqib Khan, Subrahmanyam Murala, Santosh Kumar Vipparthi, Heng Ye, Zixi Liu, Xingyi Yang, Songhua Liu, Yinwei Wu, Yongcheng Jing, Qianhao Yu, Naishan Zheng, Jie Huang, Yuhang Long, Mingde Yao, Feng Zhao, Bowen Zhao, Nan Ye, Ning Shen, Yanpeng Cao, Tong Xiong, Weiran Xia, Dingwen Li, Shuchen Xia

UAI 2023 Practical Privacy-Preserving Gaussian Process Regression via Secret Sharing Jinglong Luo, Yehong Zhang, Jiaqi Zhang, Shuang Qin, Hui Wang, Yue Yu, Zenglin Xu

CVPRW 2023 Pyramid Ensemble Structure for High Resolution Image Shadow Removal Shuhao Cui, Junshi Huang, Shuman Tian, Mingyuan Fan, Jiaqi Zhang, Li Zhu, Xiaoming Wei, Xiaolin Wei

NeurIPS 2021 Matching a Desired Causal State via Shift Interventions Jiaqi Zhang, Chandler Squires, Caroline Uhler

IJCAI 2020 Quadratic Sparse Gaussian Graphical Model Estimation Method for Massive Variables Jiaqi Zhang, Meng Wang, Qinchi Li, Sen Wang, Xiaojun Chang, Beilun Wang

IJCAI 2017 Efficient Private ERM for Smooth Objectives Jiaqi Zhang, Kai Zheng, Wenlong Mou, Liwei Wang

JMLR 2016 Differentially Private Data Releasing for Smooth Queries Ziteng Wang, Chi Jin, Kai Fan, Jiaqi Zhang, Junliang Huang, Yiqiao Zhong, Liwei Wang

NeurIPS 2013 Efficient Algorithm for Privately Releasing Smooth Queries Ziteng Wang, Kai Fan, Jiaqi Zhang, Liwei Wang