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 005; Xiangxiang Chu (ICCV, 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 005; Xiangxiang Chu; Kaiqi Huang (CoRR, 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 005; Xiangxiang Chu; Xiu Li 001 (CoRR, 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 005; Xiangxiang Chu (CoRR, 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 001; Jiahong Wu 005; Xiangxiang Chu; Xiu Li 001 (CoRR, 2025)

Taming Hallucinations: Boosting MLLMs' Video Understanding via Counterfactual Video Generation. - Zhe Huang; Hao Wen; Aiming Hao; Bingze Song; Meiqi Wu; Jiahong Wu 005; Xiangxiang Chu; Sheng Lu; Haoqian Wang (CoRR, 2025)

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 005; Xiangxiang Chu (AAAI, 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 005; Xiangxiang Chu; Kaiqi Huang (AAAI, 2026)

Artifact-Aware Evaluation for High-Quality Video Generation. - Chen Zhu; Jiashu Zhu; Yanxun Li; Meiqi Wu; Bingze Song; Chubin Chen; Jiahong Wu 005; Xiangxiang Chu; Yangang Wang (CoRR, 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 005; Xiangxiang Chu; Kaiqi Huang (CoRR, 2026)

Ranking-aware Reinforcement Learning for Ordinal Ranking. - Aiming Hao; Chen Zhu; Jiashu Zhu; Jiahong Wu 005; Xiangxiang Chu (CoRR, 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; et al. (CoRR, 2026)

Extending One-Step Image Generation from Class Labels to Text via Discriminative Text Representation. - Chenxi Zhao 002; Chen Zhu; Xiaokun Feng; Aiming Hao; Jiashu Zhu; Jiachen Lei; Jiahong Wu 005; Xiangxiang Chu; Jufeng Yang (CoRR, 2026)

Embedding-perturbed Exploration Preference Optimization for Flow Models. - Sujie Hu; Chubin Chen; Jiashu Zhu; Jiahong Wu 005; Xiangxiang Chu; Xiu Li 001 (CoRR, 2026)