Wei Chow

According to our database, Wei Chow authored at least 22 papers between 2024 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2026

AI for Auto-Research: Roadmap & User Guide.

Lingdong Kong, Xian Sun, Wei Chow, Linfeng Li, Kevin Qinghong Lin, Xuan Billy Zhang, Song Wang, Rong Li, Qing Wu, Wei Gao, Yingshuo Wang, Shaoyuan Xie, Jiachen Liu, Leigang Qu, Shijie Li, Lai Xing Ng, Benoit R. Cottereau, Ziwei Liu, Tat-Seng Chua, Wei Tsang Ooi

CoRR, May, 2026

Masked Generative Transformer Is What You Need for Image Editing.

Wei Chow, Linfeng Li, Xian Sun, Lingdong Kong, Zefeng Li, Qi Xu, Hang Song, Tian Ye, Xian Wang, Jinbin Bai, Shilin Xu, Xiangtai Li, Junting Pan, Shaoteng Liu, Ran Zhou, Tianshu Yang, Songhua Liu

CoRR, May, 2026

Agentic World Modeling: Foundations, Capabilities, Laws, and Beyond.

Meng Chu, Xuan Billy Zhang, Kevin Qinghong Lin, Lingdong Kong, Jize Zhang, Teng Tu, Weijian Ma, Ziqi Huang, Senqiao Yang, Wei Huang, Yeying Jin, Zhefan Rao, Jinhui Ye, Xinyu Lin, Xichen Zhang, Qisheng Hu, Shuai Yang, Leyang Shen, Wei Chow, Yifei Dong, Fengyi Wu, Quanyu Long, Bin Xia, Shaozuo Yu, Mingkang Zhu, Wenhu Zhang, Jiehui Huang, Haokun Gui, Haoxuan Che, Long Chen, Qifeng Chen, Wenxuan Zhang, Wenya Wang, Xiaojuan Qi, Yang Deng, Yanwei Li, Mike Zheng Shou, Zhi-Qi Cheng, See-Kiong Ng, Ziwei Liu, Philip Torr, Jiaya Jia

CoRR, April, 2026

2025

EditMGT: Unleashing Potentials of Masked Generative Transformers in Image Editing.

Wei Chow, Linfeng Li, Lingdong Kong, Zefeng Li, Qi Xu, Hang Song, Tian Ye, Xian Wang, Jinbin Bai, Shilin Xu, Xiangtai Li, Junting Pan, Shaoteng Liu, Ran Zhou, Tianshu Yang, Songhua Liu

CoRR, December, 2025

WEAVE: Unleashing and Benchmarking the In-context Interleaved Comprehension and Generation.

Wei Chow, Jiachun Pan, Yongyuan Liang, Mingze Zhou, Xue Song, Liyu Jia, Saining Zhang, Siliang Tang, Juncheng Li, Fengda Zhang, Weijia Wu, Hanwang Zhang, Tat-Seng Chua

CoRR, November, 2025

ROVER: Benchmarking Reciprocal Cross-Modal Reasoning for Omnimodal Generation.

Yongyuan Liang, Wei Chow, Feng Li, Ziqiao Ma, Xiyao Wang, Jiageng Mao, Jiuhai Chen, Jiatao Gu, Yue Wang, Furong Huang

CoRR, November, 2025

Robot Learning from Any Images.

Siheng Zhao, Jiageng Mao, Wei Chow, Zeyu Shangguan, Tianheng Shi, Rong Xue, Yuxi Zheng, Yijia Weng, Yang You, Daniel Seita, Leonidas J. Guibas, Sergey Zakharov, Vitor Guizilini, Yue Wang

CoRR, September, 2025

Mixed-R1: Unified Reward Perspective For Reasoning Capability in Multimodal Large Language Models.

Shilin Xu, Yanwei Li, Rui Yang, Tao Zhang, Yueyi Sun, Wei Chow, Linfeng Li, Hang Song, Qi Xu, Yunhai Tong, Xiangtai Li, Hao Fei

CoRR, May, 2025

An Empirical Study of GPT-4o Image Generation Capabilities.

Sixiang Chen, Jinbin Bai, Zhuoran Zhao, Tian Ye, Qingyu Shi, Donghao Zhou, Wenhao Chai, Xin Lin, Jianzong Wu, Chao Tang, Shilin Xu, Tao Zhang, Haobo Yuan, Yikang Zhou, Wei Chow, Linfeng Li, Xiangtai Li, Lei Zhu, Lu Qi

CoRR, April, 2025

KAA: Kolmogorov-Arnold Attention for Enhancing Attentive Graph Neural Networks.

Taoran Fang, Tianhong Gao, Chunping Wang, Yihao Shang, Wei Chow, Lei Chen, Yang Yang

CoRR, January, 2025

Enhancing Cross-domain Link Prediction via Evolution Process Modeling.

Xuanwen Huang, Wei Chow, Yize Zhu, Yang Wang, Ziwei Chai, Chunping Wang, Lei Chen, Yang Yang

Proceedings of the ACM on Web Conference 2025, 2025

MERIT: Multilingual Semantic Retrieval with Interleaved Multi-Condition Query.

Wei Chow, Yuan Gao, Linfeng Li, Xian Wang, Qi Xu, Hang Song, Lingdong Kong, Ran Zhou, Yi Zeng, Yidong Cai, Botian Jiang, Shilin Xu, Jiajun Zhang, Minghui Qiu, Xiangtai Li, Tianshu Yang, Siliang Tang, Juncheng Li

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 2025

mmExpert: Integrating Large Language Models for Comprehensive mmWave Data Synthesis and Understanding.

Yifan Yan, Shuai Yang, Xiuzhen Guo, Xiangguang Wang, Wei Chow, Yuanchao Shu, Shibo He

Proceedings of the Twenty-sixth International Symposium on Theory, 2025

KAA: Kolmogorov-Arnold Attention for Enhancing Attentive Graph Neural Networks.

Taoran Fang, Tianhong Gao, Chunping Wang, Yihao Shang, Wei Chow, Lei Chen, Yang Yang

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

PhysBench: Benchmarking and Enhancing Vision-Language Models for Physical World Understanding.

Wei Chow, Jiageng Mao, Boyi Li, Daniel Seita, Vitor Campagnolo Guizilini, Yue Wang

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

Meissonic: Revitalizing Masked Generative Transformers for Efficient High-Resolution Text-to-Image Synthesis.

Jinbin Bai, Tian Ye, Wei Chow, Enxin Song, Qing-Guo Chen, Xiangtai Li, Zhen Dong, Lei Zhu, Shuicheng Yan

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

AnyEdit: Mastering Unified High-Quality Image Editing for Any Idea.

Qifan Yu, Wei Chow, Zhongqi Yue, Kaihang Pan, Yang Wu, Xiaoyang Wan, Juncheng Li, Siliang Tang, Hanwang Zhang, Yueting Zhuang

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

2024

HumanEdit: A High-Quality Human-Rewarded Dataset for Instruction-based Image Editing.

Jinbin Bai, Wei Chow, Ling Yang, Xiangtai Li, Juncheng Li, Hanwang Zhang, Shuicheng Yan

CoRR, 2024

One Graph Model for Cross-domain Dynamic Link Prediction.

Xuanwen Huang, Wei Chow, Yang Wang, Ziwei Chai, Chunping Wang, Lei Chen, Yang Yang

CoRR, 2024

Unified Generative and Discriminative Training for Multi-modal Large Language Models.

Wei Chow, Juncheng Li, Qifan Yu, Kaihang Pan, Hao Fei, Zhiqi Ge, Shuai Yang, Siliang Tang, Hanwang Zhang, Qianru Sun

Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

Auto-Encoding Morph-Tokens for Multimodal LLM.

Kaihang Pan, Siliang Tang, Juncheng Li, Zhaoyu Fan, Wei Chow, Shuicheng Yan, Tat-Seng Chua, Yueting Zhuang, Hanwang Zhang

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Exploring Correlations of Self-Supervised Tasks for Graphs.

Taoran Fang, Wei Chow, Yifei Sun, Kaiqiao Han, Lvbin Ma, Yang Yang

Proceedings of the Forty-first International Conference on Machine Learning, 2024