Zeke Xie - RankMe

70 papers A* 15C 1Misc 2Journal 51Unranked 1

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Alignment of Diffusion Models: Fundamentals, Challenges, and Future. ACM Comput. Surv. Buhua Liu, Shitong Shao, Bao Li, Lichen Bai, Zhiqiang Xu, Haoyi Xiong, James T. Kwok, Sumi Helal, Zeke Xie
2026	J	`jnl`	CRAFT: Aligning Diffusion Models with Fine-Tuning Is Easier Than You Think. CoRR Zening Sun, Zhengpeng Xie, Lichen Bai, Shitong Shao, Shuo Yang, Zeke Xie
2026	J	`jnl`	Do All Individual Layers Help? An Empirical Study of Task-Interfering Layers in Vision-Language Models. CoRR Zhiming Liu, Yujie Wei, Lei Feng, Xiu Su, Xiaobo Xia, Weili Guan, Zeke Xie, Shuo Yang
2026	J	`jnl`	FastLightGen: Fast and Light Video Generation with Fewer Steps and Parameters. CoRR Shitong Shao, Yufei Gu, Zeke Xie
2026	J	`jnl`	Guidance Matters: Rethinking the Evaluation Pitfall for Text-to-Image Generation. CoRR Dian Xie, Shitong Shao, Lichen Bai, Zikai Zhou, Bojun Chen, Shuo Yang, Jun Wu, Zeke Xie
2026	J	`jnl`	Late-to-Early Training: LET LLMs Learn Earlier, So Faster and Better. CoRR Ji Zhao, Yufei Gu, Shitong Shao, Xun Zhou, Liang Xiang, Zeke Xie
2026	J	`jnl`	Learning to Accelerate Vision-Language-Action Models through Adaptive Visual Token Caching. CoRR Yujie Wei, Jiahan Fan, Jiyu Guo, Ruichen Zhen, Rui Shao, Xiu Su, Zeke Xie, Shuo Yang
2026	J	`jnl`	Mano: Restriking Manifold Optimization for LLM Training. CoRR Yufei Gu, Zeke Xie
2026	J	`jnl`	Noisy Correspondence Rectification in Multimodal Clustering Space for Cross-Modal Matching. IEEE Trans. Pattern Anal. Mach. Intell. Shuo Yang, Yancheng Long, Yujie Wei, Zeke Xie, Hongxun Yao, Min Xu, Liqiang Nie
2026	J	`jnl`	Optimizing Few-Step Generation with Adaptive Matching Distillation. CoRR Lichen Bai, Zikai Zhou, Shitong Shao, Wenliang Zhong, Shuo Yang, Shuo Chen, Bojun Chen, Zeke Xie
2026	J	`jnl`	PISA: Piecewise Sparse Attention Is Wiser for Efficient Diffusion Transformers. CoRR Haopeng Li, Shitong Shao, Wenliang Zhong, Zikai Zhou, Lichen Bai, Hui Xiong, Zeke Xie
2026	J	`jnl`	Reflective Flow Sampling Enhancement. CoRR Zikai Zhou, Muyao Wang, Shitong Shao, Lichen Bai, Haoyi Xiong, Bo Han, Zeke Xie
2025	J	`jnl`	CMPhysBench: A Benchmark for Evaluating Large Language Models in Condensed Matter Physics. CoRR Weida Wang, Dongchen Huang, Jiatong Li, Tengchao Yang, Ziyang Zheng, Di Zhang, Dong Han, Benteng Chen, Binzhao Luo, Zhiyu Liu, Kunling Liu, Zhiyuan Gao, Shiqi Geng, Wei Ma, Jiaming Su, Xin Li, Shuchen Pu, Yuhan Shui, Qianjia Cheng, Zhihao Dou, Dongfei Cui, Changyong He, Jin Zeng, Zeke Xie, Mao Su, Dongzhan Zhou, Yuqiang Li, Wanli Ouyang, Yunqi Cai, Xi Dai, Shufei Zhang, Lei Bai, Jinguang Cheng, Zhong Fang, Hongming Weng
2025	J	`jnl`	CoRe CoRR Shitong Shao, Zikai Zhou, Dian Xie, Yuetong Fang, Tian Ye, Lichen Bai, Zeke Xie
2025	J	`jnl`	DSADF: Thinking Fast and Slow for Decision Making. CoRR Alex Zhihao Dou, Dongfei Cui, Jun Yan, Weida Wang, Benteng Chen, Haoming Wang, Zeke Xie, Shufei Zhang
2025	J	`jnl`	Diffusion Dataset Condensation: Training Your Diffusion Model Faster with Less Data. CoRR Rui Huang, Shitong Shao, Zikai Zhou, Pukun Zhao, Hangyu Guo, Tian Ye, Lichen Bai, Shuo Yang, Zeke Xie
2025	Misc	`conf`	Diffusion Models are Zero-Shot Generative Text-Vision Retrievers. ICASSP Bao Li, Zeke Xie, Xiaomei Zhang, Xiangyu Zhu, Zhen Lei
2025	A*	`conf`	IV-mixed Sampler: Leveraging Image Diffusion Models for Enhanced Video Synthesis. ICLR Shitong Shao, Zikai Zhou, Bai Lichen, Haoyi Xiong, Zeke Xie
2025	A*	`conf`	Investigating the Overlooked Hessian Structure: From CNNs to LLMs. ICML Qian-Yuan Tang, Yufei Gu, Yunfeng Cai, Mingming Sun, Ping Li, Zhou Xun, Zeke Xie
2025	Misc	`conf`	Learning from Ambiguous Data with Hard Labels. ICASSP Zeke Xie, Zheng He, Nan Lu, Lichen Bai, Bao Li, Shuo Yang, Mingming Sun, Ping Li
2025	J	`jnl`	Learning from Ambiguous Data with Hard Labels. CoRR Zeke Xie, Zheng He, Nan Lu, Lichen Bai, Bao Li, Shuo Yang, Mingming Sun, Ping Li
2025	J	`jnl`	MagicDistillation: Weak-to-Strong Video Distillation for Large-Scale Few-Step Synthesis. CoRR Shitong Shao, Hongwei Yi, Hanzhong Guo, Tian Ye, Daquan Zhou, Michael Lingelbach, Zhiqiang Xu, Zeke Xie
2025	J	`jnl`	MagicInfinite: Generating Infinite Talking Videos with Your Words and Voice. CoRR Hongwei Yi, Tian Ye, Shitong Shao, Xuancheng Yang, Jiantong Zhao, Hanzhong Guo, Terrance Wang, Qingyu Yin, Zeke Xie, Lei Zhu, Wei Li, Michael Lingelbach, Daquan Zhou
2025	A*	`conf`	Mono2Stereo: A Benchmark and Empirical Study for Stereo Conversion. CVPR Songsong Yu, Yuxin Chen, Zhongang Qi, Zeke Xie, Yifan Wang, Lijun Wang, Ying Shan, Huchuan Lu
2025	J	`jnl`	Mono2Stereo: A Benchmark and Empirical Study for Stereo Conversion. CoRR Songsong Yu, Yuxin Chen, Zhongang Qi, Zeke Xie, Yifan Wang, Lijun Wang, Ying Shan, Huchuan Lu
2025	J	`jnl`	Multiphysics Bench: Benchmarking and Investigating Scientific Machine Learning for Multiphysics PDEs. CoRR Changfan Yang, Lichen Bai, Yinpeng Wang, Shufei Zhang, Zeke Xie
2025	A*	`conf`	Principled Data Selection for Alignment: The Hidden Risks of Difficult Examples. ICML Chengqian Gao, Haonan Li, Liu Liu, Zeke Xie, Peilin Zhao, Zhiqiang Xu
2025	J	`jnl`	Principled Data Selection for Alignment: The Hidden Risks of Difficult Examples. CoRR Chengqian Gao, Haonan Li, Liu Liu, Zeke Xie, Peilin Zhao, Zhiqiang Xu
2025	—	`conf`	Stronger Separability, Stronger Defense: Influence-Based Backdoor Detection. PAKDD (1) Buhua Liu, Shuo Yang, Zhiqiang Xu, Haoyi Xiong, Yiu-ming Cheung, Zeke Xie
2025	J	`jnl`	Understanding Data Influence with Differential Approximation. CoRR Haoru Tan, Sitong Wu, Xiuzhe Wu, Wang Wang, Bo Zhao, Zeke Xie, Gui-Song Xia, Xiaojuan Qi
2025	J	`jnl`	UtilGen: Utility-Centric Generative Data Augmentation with Dual-Level Task Adaptation. CoRR Jiyu Guo, Shuo Yang, Yiming Huang, Yancheng Long, Xiaobo Xia, Xiu Su, Bo Zhao, Zeke Xie, Liqiang Nie
2025	J	`jnl`	Weak-to-Strong Diffusion with Reflection. CoRR Lichen Bai, Masashi Sugiyama, Zeke Xie
2025	A*	`conf`	Zigzag Diffusion Sampling: Diffusion Models Can Self-Improve via Self-Reflection. ICLR Lichen Bai, Shitong Shao, Zikai Zhou, Zipeng Qi, Zhiqiang Xu, Haoyi Xiong, Zeke Xie
2024	J	`jnl`	A Simple and Efficient Baseline for Zero-Shot Generative Classification. CoRR Zipeng Qi, Buhua Liu, Shiyan Zhang, Bao Li, Zhiqiang Xu, Haoyi Xiong, Zeke Xie
2024	J	`jnl`	Alignment of Diffusion Models: Fundamentals, Challenges, and Future. CoRR Buhua Liu, Shitong Shao, Bao Li, Lichen Bai, Zhiqiang Xu, Haoyi Xiong, James Kwok, Sumi Helal, Zeke Xie
2024	J	`jnl`	Bag of Design Choices for Inference of High-Resolution Masked Generative Transformer. CoRR Shitong Shao, Zikai Zhou, Tian Ye, Lichen Bai, Zhiqiang Xu, Zeke Xie
2024	J	`jnl`	Channel-wise Influence: Estimating Data Influence for Multivariate Time Series. CoRR Muyao Wang, Zeke Xie, Bo Chen
2024	J	`jnl`	Converging Paradigms: The Synergy of Symbolic and Connectionist AI in LLM-Empowered Autonomous Agents. CoRR Haoyi Xiong, Zhiyuan Wang, Xuhong Li, Jiang Bian, Zeke Xie, Shahid Mumtaz, Laura E. Barnes
2024	J	`jnl`	Golden Noise for Diffusion Models: A Learning Framework. CoRR Zikai Zhou, Shitong Shao, Lichen Bai, Zhiqiang Xu, Bo Han, Zeke Xie
2024	J	`jnl`	HiCAST: Highly Customized Arbitrary Style Transfer with Adapter Enhanced Diffusion Models. CoRR Hanzhang Wang, Haoran Wang, Jinze Yang, Zhongrui Yu, Zeke Xie, Lei Tian, Xinyan Xiao, Junjun Jiang, Xianming Liu, Mingming Sun
2024	J	`jnl`	IV-Mixed Sampler: Leveraging Image Diffusion Models for Enhanced Video Synthesis. CoRR Shitong Shao, Zikai Zhou, Lichen Bai, Haoyi Xiong, Zeke Xie
2024	A*	`conf`	Neural Field Classifiers via Target Encoding and Classification Loss. ICLR Xindi Yang, Zeke Xie, Xiong Zhou, Boyu Liu, Buhua Liu, Yi Liu, Haoran Wang, Yunfeng Cai, Mingming Sun
2024	J	`jnl`	Neural Field Classifiers via Target Encoding and Classification Loss. CoRR Xindi Yang, Zeke Xie, Xiong Zhou, Boyu Liu, Buhua Liu, Yi Liu, Haoran Wang, Yunfeng Cai, Mingming Sun
2024	J	`jnl`	Not All Noises Are Created Equally:Diffusion Noise Selection and Optimization. CoRR Zipeng Qi, Lichen Bai, Haoyi Xiong, Zeke Xie
2024	J	`jnl`	Pre-trained Molecular Language Models with Random Functional Group Masking. CoRR Tianhao Peng, Yuchen Li, Xuhong Li, Jiang Bian, Zeke Xie, Ning Sui, Shahid Mumtaz, Yanwu Xu, Linghe Kong, Haoyi Xiong
2024	J	`jnl`	SGD: Street View Synthesis with Gaussian Splatting and Diffusion Prior. CoRR Zhongrui Yu, Haoran Wang, Jinze Yang, Hanzhang Wang, Zeke Xie, Yunfeng Cai, Jiale Cao, Zhong Ji, Mingming Sun
2024	J	`jnl`	VIP: Versatile Image Outpainting Empowered by Multimodal Large Language Model. CoRR Jinze Yang, Haoran Wang, Zining Zhu, Chenglong Liu, Meng Wymond Wu, Zeke Xie, Zhong Ji, Jungong Han, Mingming Sun
2024	A*	`conf`	Variance-enlarged Poisson Learning for Graph-based Semi-Supervised Learning with Extremely Sparse Labeled Data. ICLR Xiong Zhou, Xianming Liu, Hao Yu, Jialiang Wang, Zeke Xie, Junjun Jiang, Xiangyang Ji
2024	J	`jnl`	Zigzag Diffusion Sampling: Diffusion Models Can Self-Improve via Self-Reflection. CoRR Lichen Bai, Shitong Shao, Zikai Zhou, Zipeng Qi, Zhiqiang Xu, Haoyi Xiong, Zeke Xie
2023	A*	`conf`	Dataset Pruning: Reducing Training Data by Examining Generalization Influence. ICLR Shuo Yang, Zeke Xie, Hanyu Peng, Min Xu, Mingming Sun, Ping Li
2023	A*	`conf`	On the Overlooked Pitfalls of Weight Decay and How to Mitigate Them: A Gradient-Norm Perspective. NeurIPS Zeke Xie, Zhiqiang Xu, Jingzhao Zhang, Issei Sato, Masashi Sugiyama
2023	A*	`conf`	On the Overlooked Structure of Stochastic Gradients. NeurIPS Zeke Xie, Qian-Yuan Tang, Mingming Sun, Ping Li
2023	A*	`conf`	S3IM: Stochastic Structural SIMilarity and Its Unreasonable Effectiveness for Neural Fields. ICCV Zeke Xie, Xindi Yang, Yujie Yang, Qi Sun, Yixiang Jiang, Haoran Wang, Yunfeng Cai, Mingming Sun
2023	J	`jnl`	S3IM: Stochastic Structural SIMilarity and Its Unreasonable Effectiveness for Neural Fields. CoRR Zeke Xie, Xindi Yang, Yujie Yang, Qi Sun, Yixiang Jiang, Haoran Wang, Yunfeng Cai, Mingming Sun
2022	A*	`conf`	Adaptive Inertia: Disentangling the Effects of Adaptive Learning Rate and Momentum. ICML Zeke Xie, Xinrui Wang, Huishuai Zhang, Issei Sato, Masashi Sugiyama
2022	J	`jnl`	Dataset Pruning: Reducing Training Data by Examining Generalization Influence. CoRR Shuo Yang, Zeke Xie, Hanyu Peng, Min Xu, Mingming Sun, Ping Li
2022	J	`jnl`	On the Power-Law Spectrum in Deep Learning: A Bridge to Protein Science. CoRR Zeke Xie, Qian-Yuan Tang, Yunfeng Cai, Mingming Sun, Ping Li
2022	J	`jnl`	Rethinking the Structure of Stochastic Gradients: Empirical and Statistical Evidence. CoRR Zeke Xie, Qian-Yuan Tang, Zheng He, Mingming Sun, Ping Li
2022	A*	`conf`	Sparse Double Descent: Where Network Pruning Aggravates Overfitting. ICML Zheng He, Zeke Xie, Quanzhi Zhu, Zengchang Qin
2022	J	`jnl`	Sparse Double Descent: Where Network Pruning Aggravates Overfitting. CoRR Zheng He, Zeke Xie, Quanzhi Zhu, Zengchang Qin
2021	A*	`conf`	A Diffusion Theory For Deep Learning Dynamics: Stochastic Gradient Descent Exponentially Favors Flat Minima. ICLR Zeke Xie, Issei Sato, Masashi Sugiyama
2021	J	`jnl`	Artificial Neural Variability for Deep Learning: On Overfitting, Noise Memorization, and Catastrophic Forgetting. Neural Comput. Zeke Xie, Fengxiang He, Shaopeng Fu, Issei Sato, Dacheng Tao, Masashi Sugiyama
2021	A*	`conf`	Positive-Negative Momentum: Manipulating Stochastic Gradient Noise to Improve Generalization. ICML Zeke Xie, Li Yuan, Zhanxing Zhu, Masashi Sugiyama
2021	J	`jnl`	Positive-Negative Momentum: Manipulating Stochastic Gradient Noise to Improve Generalization. CoRR Zeke Xie, Li Yuan, Zhanxing Zhu, Masashi Sugiyama
2020	J	`jnl`	A Diffusion Theory for Deep Learning Dynamics: Stochastic Gradient Descent Escapes From Sharp Minima Exponentially Fast. CoRR Zeke Xie, Issei Sato, Masashi Sugiyama
2020	J	`jnl`	Adai: Separating the Effects of Adaptive Learning Rate and Momentum Inertia. CoRR Zeke Xie, Xinrui Wang, Huishuai Zhang, Issei Sato, Masashi Sugiyama
2020	J	`jnl`	Artificial Neural Variability for Deep Learning: On Overfitting, Noise Memorization, and Catastrophic Forgetting. CoRR Zeke Xie, Fengxiang He, Shaopeng Fu, Issei Sato, Dacheng Tao, Masashi Sugiyama
2020	J	`jnl`	Stable Weight Decay Regularization. CoRR Zeke Xie, Issei Sato, Masashi Sugiyama
2017	C	`conf`	A Quantum-Inspired Ensemble Method and Quantum-Inspired Forest Regressors. ACML Zeke Xie, Issei Sato
2017	J	`jnl`	A Quantum-Inspired Ensemble Method and Quantum-Inspired Forest Regressors. CoRR Zeke Xie, Issei Sato