Jiahong Wu

According to our database, Jiahong Wu authored at least 14 papers between 2025 and 2026.

Collaborative distances:

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

2026

Embedding-perturbed Exploration Preference Optimization for Flow Models.

Sujie Hu, Chubin Chen, Jiashu Zhu, Jiahong Wu, Xiangxiang Chu, Xiu Li

CoRR, May, 2026

Extending One-Step Image Generation from Class Labels to Text via Discriminative Text Representation.

Chenxi Zhao, Chen Zhu, Xiaokun Feng, Aiming Hao, Jiashu Zhu, Jiachen Lei, Jiahong Wu, Xiangxiang Chu, Jufeng Yang

CoRR, April, 2026

Omni-WorldBench: Towards a Comprehensive Interaction-Centric Evaluation for World Models.

Meiqi Wu, Zhixin Cai, Fufangchen Zhao, Xiaokun Feng, Rujing Dang, Bingze Song, Ruitian Tian, Jiashu Zhu, Jiachen Lei, Hao Dou, Jing Tang, Lei Sun, Jiahong Wu, Xiangxiang Chu, Zeming Liu, Kaiqi Huang

CoRR, March, 2026

Ranking-aware Reinforcement Learning for Ordinal Ranking.

Aiming Hao, Chen Zhu, Jiashu Zhu, Jiahong Wu, Xiangxiang Chu

CoRR, January, 2026

Latent Temporal Discrepancy as Motion Prior: A Loss-Weighting Strategy for Dynamic Fidelity in T2V.

Meiqi Wu, Bingze Song, Ruimin Lin, Chen Zhu, Xiaokun Feng, Jiahong Wu, Xiangxiang Chu, Kaiqi Huang

CoRR, January, 2026

Artifact-Aware Evaluation for High-Quality Video Generation.

Chen Zhu, Jiashu Zhu, Yanxun Li, Meiqi Wu, Bingze Song, Chubin Chen, Jiahong Wu, Xiangxiang Chu, Yangang Wang

CoRR, January, 2026

ImagerySearch: Adaptive Test-Time Search for Video Generation Beyond Semantic Dependency Constraints.

Meiqi Wu, Jiashu Zhu, Xiaokun Feng, Chubin Chen, Chen Zhu, Bingze Song, Fangyuan Mao, Jiahong Wu, Xiangxiang Chu, Kaiqi Huang

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

Omni-Effects: Unified and Spatially-Controllable Visual Effects Generation.

Fangyuan Mao, Aiming Hao, Jintao Chen, Dongxia Liu, Xiaokun Feng, Jiashu Zhu, Meiqi Wu, Chubin Chen, Jiahong Wu, Xiangxiang Chu

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025

Taming Hallucinations: Boosting MLLMs' Video Understanding via Counterfactual Video Generation.

Zhe Huang, Hao Wen, Aiming Hao, Bingze Song, Meiqi Wu, Jiahong Wu, Xiangxiang Chu, Sheng Lu, Haoqian Wang

CoRR, December, 2025

Taming Preference Mode Collapse via Directional Decoupling Alignment in Diffusion Reinforcement Learning.

Chubin Chen, Sujie Hu, Jiashu Zhu, Meiqi Wu, Jintao Chen, Yanxun Li, Nisha Huang, Chengyu Fang, Jiahong Wu, Xiangxiang Chu, Xiu Li

CoRR, December, 2025

Advancing End-to-End Pixel Space Generative Modeling via Self-supervised Pre-training.

Jiachen Lei, Keli Liu, Julius Berner, Haiming Yu, Hongkai Zheng, Jiahong Wu, Xiangxiang Chu

CoRR, October, 2025

S²-Guidance: Stochastic Self Guidance for Training-Free Enhancement of Diffusion Models.

Chubin Chen, Jiashu Zhu, Xiaokun Feng, Nisha Huang, Meiqi Wu, Fangyuan Mao, Jiahong Wu, Xiangxiang Chu, Xiu Li

CoRR, August, 2025

NarrLV: Towards a Comprehensive Narrative-Centric Evaluation for Long Video Generation Models.

Xiaokun Feng, Haiming Yu, Meiqi Wu, Shiyu Hu, Jintao Chen, Chen Zhu, Jiahong Wu, Xiangxiang Chu, Kaiqi Huang

CoRR, July, 2025

VMBench: A Benchmark for Perception-Aligned Video Motion Generation.

Xinran Ling, Chen Zhu, Meiqi Wu, Hangyu Li, Xiaokun Feng, Cundian Yang, Aiming Hao, Jiashu Zhu, Jiahong Wu, Xiangxiang Chu

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2025