Author

Jianfei Chen

Observed name: Chen, Jianfei

Institutions: Tianjin University, Tsinghua–Berkeley Shenzhen Institute, University of California, Berkeley, Tsinghua University

Observed institutions: Tianjin University, Tsinghua–Berkeley Shenzhen Institute, University of California, Berkeley, Tsinghua University

OpenAlex ID: A5126276134

Towards Subject Consistency over Dynamic Subject Sets in Video Generation

2026 · Zhang, Tongcheng, Zhu, Jun, et al. · arXiv (Cornell University)

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Scaling Long-Form Story Generation via Narrative State Tracking

2026 · Wan, Zhennan, Chen, Jianfei · arXiv (Cornell University)

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Why Does Post-Training Quantization Work?

2026 · Chen, Yuxiang, Beyer, Michael, et al. · arXiv (Cornell University)

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Vidu S2: Real-Time Interactive, Editable, and Spatial Video Generation

2026 · Zhang, Jintao, Jiang, Kai, et al. · arXiv (Cornell University)

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TurboT2VA: Fast Large-Scale Text-to-Video-Audio Generation via Score-Regularized Consistency Distillation

2026 · Yang, Xiaoda, Liu, Yuxiang, et al. · arXiv (Cornell University)

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Visual Representation Matters: Exploiting Temporal Differences in Video-to-Audio Generation

2026 · Chen, Zehua, Wang, Junyou, et al. · arXiv (Cornell University)

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Efficient Difficulty-Aware Dynamic Routing for Diffusion-Based Real-World Image Super-Resolution

2026 · Wu, Xue, Zhao, Kang, et al. · arXiv (Cornell University)

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Vidu S1: A Real-Time Interactive Video Generation Model

2026 · Zhang, Jintao, Jiang, Kai, et al. · arXiv (Cornell University)

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Causal-rCM: A Unified Teacher-Forcing and Self-Forcing Open Recipe for Autoregressive Diffusion Distillation in Streaming Video Generation and Interactive World Models

2026 · Zheng, Kaiwen, He, Guande, et al. · arXiv (Cornell University)

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TurboServe: Serving Streaming Video Generation Efficiently and Economically

2026 · Jiang, Youhe, Wang, Haoxu, et al. · arXiv (Cornell University)

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6Bit-Diffusion: Inference-Time Mixed-Precision Quantization for Video Diffusion Models

2026 · Su, Rundong, Zhang, Jintao, et al. · arXiv (Cornell University)

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Deterministic Differentiable Structured Pruning for Large Language Models

2026 · Huang, Weiyu, Zhang, Pengle, et al. · arXiv (Cornell University)

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SageBwd: A Trainable Low-bit Attention

2026 · Zhang, Jintao, Chen, Marco, et al. · arXiv (Cornell University)

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SLA2: Sparse-Linear Attention with Learnable Routing and Quantization-aware Training

2026 · Zhang, Jintao, Wang, Haoxu, et al. · arXiv (Cornell University)

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SpargeAttention2: Trainable Sparse Attention via Hybrid Top-k+Top-p Masking and Distillation Fine-Tuning

2026 · Zhang, Jintao, Jiang, Kai, et al. · arXiv (Cornell University)

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Works count: 18

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