Ze Wang - RankMe

57 papers A* 14A 2Journal 36Unranked 5

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	CD4LM: Consistency Distillation and aDaptive Decoding for Diffusion Language Models. CoRR Yihao Liang, Ze Wang, Hao Chen, Ximeng Sun, Jialian Wu, Xiaodong Yu, Jiang Liu, Emad Barsoum, Zicheng Liu, Niraj K. Jha
2026	J	`jnl`	Learning from Online Videos at Inference Time for Computer-Use Agents. Trans. Mach. Learn. Res. Yujian Liu, Ze Wang, Hao Chen, Ximeng Sun, Xiaodong Yu, Jialian Wu, Jiang Liu, Emad Barsoum, Zicheng Liu, Shiyu Chang
2026	J	`jnl`	Reliable Use of Lemmas via Eligibility Reasoning and Section-Aware Reinforcement Learning. CoRR Zhikun Xu, Xiaodong Yu, Ben Zhou, Jiang Liu, Jialian Wu, Ze Wang, Ximeng Sun, Hao Chen, Zicheng Liu
2026	J	`jnl`	VideoSeek: Long-Horizon Video Agent with Tool-Guided Seeking. CoRR Jingyang Lin, Jialian Wu, Jiang Liu, Ximeng Sun, Ze Wang, Xiaodong Yu, Jiebo Luo, Zicheng Liu, Emad Barsoum
2025	J	`jnl`	APRIL: Active Partial Rollouts in Reinforcement Learning to Tame Long-tail Generation. CoRR Yuzhen Zhou, Jiajun Li, Yusheng Su, Gowtham Ramesh, Zilin Zhu, Xiang Long, Chenyang Zhao, Jin Pan, Xiaodong Yu, Ze Wang, Kangrui Du, Jialian Wu, Ximeng Sun, Jiang Liu, Qiaolin Yu, Hao Chen, Zicheng Liu, Emad Barsoum
2025	—	`conf`	Agent Laboratory: Using LLM Agents as Research Assistants. EMNLP (Findings) Samuel Schmidgall, Yusheng Su, Ze Wang, Ximeng Sun, Jialian Wu, Xiaodong Yu, Jiang Liu, Michael Moor, Zicheng Liu, Emad Barsoum
2025	J	`jnl`	Agent Laboratory: Using LLM Agents as Research Assistants. CoRR Samuel Schmidgall, Yusheng Su, Ze Wang, Ximeng Sun, Jialian Wu, Xiaodong Yu, Jiang Liu, Zicheng Liu, Emad Barsoum
2025	J	`jnl`	Directional Reasoning Injection for Fine-Tuning MLLMs. CoRR Chao Huang, Zeliang Zhang, Jiang Liu, Ximeng Sun, Jialian Wu, Xiaodong Yu, Ze Wang, Chenliang Xu, Emad Barsoum, Zicheng Liu
2025	J	`jnl`	ImageDoctor: Diagnosing Text-to-Image Generation via Grounded Image Reasoning. CoRR Yuxiang Guo, Jiang Liu, Ze Wang, Hao Chen, Ximeng Sun, Yang Zhao, Jialian Wu, Xiaodong Yu, Zicheng Liu, Emad Barsoum
2025	J	`jnl`	Instella-T2I: Pushing the Limits of 1D Discrete Latent Space Image Generation. CoRR Ze Wang, Hao Chen, Benran Hu, Jiang Liu, Ximeng Sun, Jialian Wu, Yusheng Su, Xiaodong Yu, Emad Barsoum, Zicheng Liu
2025	J	`jnl`	Instella: Fully Open Language Models with Stellar Performance. CoRR Jiang Liu, Jialian Wu, Xiaodong Yu, Yusheng Su, Prakamya Mishra, Gowtham Ramesh, Sudhanshu Ranjan, Chaitanya Manem, Ximeng Sun, Ze Wang, Pratik Prabhanjan Brahma, Zicheng Liu, Emad Barsoum
2025	J	`jnl`	KeyVID: Keyframe-Aware Video Diffusion for Audio-Synchronized Visual Animation. CoRR Xingrui Wang, Jiang Liu, Ze Wang, Xiaodong Yu, Jialian Wu, Ximeng Sun, Yusheng Su, Alan L. Yuille, Zicheng Liu, Emad Barsoum
2025	J	`jnl`	Latent Visual Reasoning. CoRR Bangzheng Li, Ximeng Sun, Jiang Liu, Ze Wang, Jialian Wu, Xiaodong Yu, Hao Chen, Emad Barsoum, Muhao Chen, Zicheng Liu
2025	J	`jnl`	Learning from Online Videos at Inference Time for Computer-Use Agents. CoRR Yujian Liu, Ze Wang, Hao Chen, Ximeng Sun, Xiaodong Yu, Jialian Wu, Jiang Liu, Emad Barsoum, Zicheng Liu, Shiyu Chang
2025	J	`jnl`	MOVi: Training-free Text-conditioned Multi-Object Video Generation. CoRR Aimon Rahman, Jiang Liu, Ze Wang, Ximeng Sun, Jialian Wu, Xiaodong Yu, Yusheng Su, Vishal M. Patel, Zicheng Liu, Emad Barsoum
2025	A*	`conf`	Masked Autoencoders Are Effective Tokenizers for Diffusion Models. ICML Hao Chen, Yujin Han, Fangyi Chen, Xiang Li, Yidong Wang, Jindong Wang, Ze Wang, Zicheng Liu, Difan Zou, Bhiksha Raj
2025	J	`jnl`	Masked Autoencoders Are Effective Tokenizers for Diffusion Models. CoRR Hao Chen, Yujin Han, Fangyi Chen, Xiang Li, Yidong Wang, Jindong Wang, Ze Wang, Zicheng Liu, Difan Zou, Bhiksha Raj
2025	—	`conf`	Self-Taught Agentic Long Context Understanding. ACL (1) Yufan Zhuang, Xiaodong Yu, Jialian Wu, Ximeng Sun, Ze Wang, Jiang Liu, Yusheng Su, Jingbo Shang, Zicheng Liu, Emad Barsoum
2025	J	`jnl`	Self-Taught Agentic Long Context Understanding. CoRR Yufan Zhuang, Xiaodong Yu, Jialian Wu, Ximeng Sun, Ze Wang, Jiang Liu, Yusheng Su, Jingbo Shang, Zicheng Liu, Emad Barsoum
2025	A*	`conf`	SoftVQ-VAE: Efficient 1-Dimensional Continuous Tokenizer. CVPR Hao Chen, Ze Wang, Xiang Li, Ximeng Sun, Fangyi Chen, Jiang Liu, Jindong Wang, Bhiksha Raj, Zicheng Liu, Emad Barsoum
2025	A*	`conf`	Tuning Timestep-Distilled Diffusion Model Using Pairwise Sample Optimization. ICLR Zichen Miao, Zhengyuan Yang, Kevin Lin, Ze Wang, Zicheng Liu, Lijuan Wang, Qiang Qiu
2025	J	`jnl`	Unleashing Hour-Scale Video Training for Long Video-Language Understanding. CoRR Jingyang Lin, Jialian Wu, Ximeng Sun, Ze Wang, Jiang Liu, Yusheng Su, Xiaodong Yu, Hao Chen, Jiebo Luo, Zicheng Liu, Emad Barsoum
2025	J	`jnl`	XModBench: Benchmarking Cross-Modal Capabilities and Consistency in Omni-Language Models. CoRR Xingrui Wang, Jiang Liu, Chao Huang, Xiaodong Yu, Ze Wang, Ximeng Sun, Jialian Wu, Alan L. Yuille, Emad Barsoum, Zicheng Liu
2024	J	`jnl`	Conditional Text-to-Image Generation with Reference Guidance. CoRR Taewook Kim, Ze Wang, Zhengyuan Yang, Jiang Wang, Lijuan Wang, Zicheng Liu, Qiang Qiu
2024	—	`conf`	Constructing Concept-Based Models to Mitigate Spurious Correlations with Minimal Human Effort. ECCV (80) Jeeyung Kim, Ze Wang, Qiang Qiu
2024	J	`jnl`	Constructing Concept-based Models to Mitigate Spurious Correlations with Minimal Human Effort. CoRR Jeeyung Kim, Ze Wang, Qiang Qiu
2024	J	`jnl`	Model-Agnostic Human Preference Inversion in Diffusion Models. CoRR Jeeyung Kim, Ze Wang, Qiang Qiu
2024	J	`jnl`	SoftVQ-VAE: Efficient 1-Dimensional Continuous Tokenizer. CoRR Hao Chen, Ze Wang, Xiang Li, Ximeng Sun, Fangyi Chen, Jiang Liu, Jindong Wang, Bhiksha Raj, Zicheng Liu, Emad Barsoum
2024	A*	`conf`	Training Diffusion Models Towards Diverse Image Generation with Reinforcement Learning. CVPR Zichen Miao, Jiang Wang, Ze Wang, Zhengyuan Yang, Lijuan Wang, Qiang Qiu, Zicheng Liu
2024	J	`jnl`	Tuning Timestep-Distilled Diffusion Model Using Pairwise Sample Optimization. CoRR Zichen Miao, Zhengyuan Yang, Kevin Lin, Ze Wang, Zicheng Liu, Lijuan Wang, Qiang Qiu
2023	A*	`conf`	Binary Latent Diffusion. CVPR Ze Wang, Jiang Wang, Zicheng Liu, Qiang Qiu
2023	J	`jnl`	Binary Latent Diffusion. CoRR Ze Wang, Jiang Wang, Zicheng Liu, Qiang Qiu
2023	A*	`conf`	Energy-Inspired Self-Supervised Pretraining for Vision Models. ICLR Ze Wang, Jiang Wang, Zicheng Liu, Qiang Qiu
2023	J	`jnl`	Energy-Inspired Self-Supervised Pretraining for Vision Models. CoRR Ze Wang, Jiang Wang, Zicheng Liu, Qiang Qiu
2023	A	`conf`	Meta-OLE: Meta-learned Orthogonal Low-Rank Embedding. WACV Ze Wang, Yue Lu, Qiang Qiu
2022	A*	`conf`	Continual Learning with Filter Atom Swapping. ICLR Zichen Miao, Ze Wang, Wei Chen, Qiang Qiu
2021	A*	`conf`	Adaptive Convolutions with Per-pixel Dynamic Filter Atom. ICCV Ze Wang, Zichen Miao, Jun Hu, Qiang Qiu
2021	J	`jnl`	Adaptive Convolutions with Per-pixel Dynamic Filter Atom. CoRR Ze Wang, Zichen Miao, Jun Hu, Qiang Qiu
2021	A*	`conf`	Cirrus: A Long-range Bi-pattern LiDAR Dataset. ICRA Ze Wang, Sihao Ding, Ying Li, Jonas Fenn, Sohini Roychowdhury, Andreas Wallin, Lane Martin, Scott Ryvola, Guillermo Sapiro, Qiang Qiu
2021	A*	`conf`	Image Generation using Continuous Filter Atoms. NeurIPS Ze Wang, Seunghyun Hwang, Zichen Miao, Qiang Qiu
2021	A*	`conf`	Learning to Learn Dense Gaussian Processes for Few-Shot Learning. NeurIPS Ze Wang, Zichen Miao, Xiantong Zhen, Qiang Qiu
2021	A*	`conf`	Spatiotemporal Joint Filter Decomposition in 3D Convolutional Neural Networks. NeurIPS Zichen Miao, Ze Wang, Xiuyuan Cheng, Qiang Qiu
2021	—	`conf`	Using Text To Teach Image Retrieval. CVPR Workshops Haoyu Dong, Ze Wang, Qiang Qiu, Guillermo Sapiro
2020	A*	`conf`	A Dictionary Approach to Domain-Invariant Learning in Deep Networks. NeurIPS Ze Wang, Xiuyuan Cheng, Guillermo Sapiro, Qiang Qiu
2020	J	`jnl`	ACDC: Weight Sharing in Atom-Coefficient Decomposed Convolution. CoRR Ze Wang, Xiuyuan Cheng, Guillermo Sapiro, Qiang Qiu
2020	J	`jnl`	Cirrus: A Long-range Bi-pattern LiDAR Dataset. CoRR Ze Wang, Sihao Ding, Ying Li, Jonas Fenn, Sohini Roychowdhury, Andreas Wallin, Lane Martin, Scott Ryvola, Guillermo Sapiro, Qiang Qiu
2020	A*	`conf`	Stochastic Conditional Generative Networks with Basis Decomposition. ICLR Ze Wang, Xiuyuan Cheng, Guillermo Sapiro, Qiang Qiu
2020	J	`jnl`	The Structure Transfer Machine Theory and Applications. IEEE Trans. Image Process. Baochang Zhang, Wankou Yang, Ze Wang, Lian Zhuo, Jungong Han, Xiantong Zhen
2020	J	`jnl`	Using Text to Teach Image Retrieval. CoRR Haoyu Dong, Ze Wang, Qiang Qiu, Guillermo Sapiro
2019	J	`jnl`	Domain-invariant Learning using Adaptive Filter Decomposition. CoRR Ze Wang, Xiuyuan Cheng, Guillermo Sapiro, Qiang Qiu
2019	—	`conf`	Range Adaptation for 3D Object Detection in LiDAR. ICCV Workshops Ze Wang, Sihao Ding, Ying Li, Minming Zhao, Sohini Roychowdhury, Andreas Wallin, Guillermo Sapiro, Qiang Qiu
2019	J	`jnl`	Range Adaptation for 3D Object Detection in LiDAR. CoRR Ze Wang, Sihao Ding, Ying Li, Minming Zhao, Sohini Roychowdhury, Andreas Wallin, Guillermo Sapiro, Qiang Qiu
2019	J	`jnl`	Stochastic Conditional Generative Networks with Basis Decomposition. CoRR Ze Wang, Xiuyuan Cheng, Guillermo Sapiro, Qiang Qiu
2018	A	`conf`	In Defense of Single-column Networks for Crowd Counting. BMVC Ze Wang, Zehao Xiao, Kai Xie, Qiang Qiu, Xiantong Zhen, Xianbin Cao
2018	J	`jnl`	In Defense of Single-column Networks for Crowd Counting. CoRR Ze Wang, Zehao Xiao, Kai Xie, Qiang Qiu, Xiantong Zhen, Xianbin Cao
2018	J	`jnl`	LaneNet: Real-Time Lane Detection Networks for Autonomous Driving. CoRR Ze Wang, Weiqiang Ren, Qiang Qiu
2018	J	`jnl`	The Structure Transfer Machine Theory and Applications. CoRR Baochang Zhang, Lian Zhuo, Ze Wang, Jungong Han, Xiantong Zhen