👋 About Me

I am a Ph.D. candidate in Intelligent Science and Technology at Beijing Normal University, expected to graduate in June 2027. I am advised by Prof. Weijia Jia (贾维嘉), with co-supervision from Prof. Wenyi Zeng (曾文艺) and Assoc. Prof. Zhiqing Tang (唐志清). My work lies at the intersection of AIGC inference optimization and edge-intelligence systems, with an emphasis on translating algorithmic ideas into practical, efficient systems.

As of July 2026, I have authored 20 research papers, including publications and accepted work at ICLR, ICML, ACM MM, TMC, and TSC. My experience spans performance-bottleneck analysis, algorithm and scheduling design, GPU evaluation, system prototyping, and validation with realistic workloads and traces.

🔥 News
  • 2026-07-10: Two papers are accepted by ACM MM (CCF-A).
  • 2026-05-12: Two papers are accepted by IEEE ICWS (CCF-B).
  • 2026-05-01: One paper is accepted by ICML (CCF-A).
  • 2026-02-15: One paper is accepted by NOSSDAV (CCF-B).
  • 2026-01-26: One paper is accepted by ICLR (CCF-A).
📝 Selected Publications
Category CCF-A CCF-B Other SCI Q1 Total
All 6 5 3 20
First/Corr. Author 5 3 2 12
  1. 1. Predict to Skip: Linear Multistep Feature Forecasting for Efficient Diffusion Transformers
    Hanshuai Cui, Zhiqing Tang*, Qianli Ma, Zhi Yao, Weijia Jia* & Wei Zhao
    ACM Multimedia (MM), 2026, accepted. (CCF-A) arXiv
  2. 2. Not All Frames Deserve Full Computation: Accelerating Autoregressive Video Generation via Selective Computation and Predictive Extrapolation
    Hanshuai Cui, Zhiqing Tang*, Zhi Yao, Fanshuai Meng, Weijia Jia & Wei Zhao
    ACM Multimedia (MM), 2026, accepted. (CCF-A) arXiv
  3. 3. BWCache: Accelerating Video Diffusion Transformers through Block-Wise Caching
    Hanshuai Cui, Zhiqing Tang*, Zhifei Xu, Zhi Yao, Wenyi Zeng & Weijia Jia
    International Conference on Learning Representations (ICLR), 2026. (CCF-A) arXiv
  4. 4. Layer-Aware Cost-Effective Container Updates With Edge-Cloud Collaboration in Edge Computing
    Hanshuai Cui, Zhiqing Tang*, Yuan Wu & Weijia Jia*
    IEEE Transactions on Mobile Computing (TMC), 2025, 24, 11, 12314–12328. (CCF-A; 广东省计算机学会优秀论文奖二等奖) DOI
  5. 5. Latency-Aware Container Scheduling in Edge Cluster Upgrades: A Deep Reinforcement Learning Approach
    Hanshuai Cui, Zhiqing Tang*, Jiong Lou, Weijia Jia* & Wei Zhao
    IEEE Transactions on Services Computing (TSC), 2024, 17, 5, 2530–2543. (CCF-A) DOI
  6. 6. Accelerating Diffusion Model Inference via Semantics-Aware Trajectory Reuse and Adaptive Scheduling
    Hanshuai Cui, Zhiqing Tang*, Zhi Yao & Weijia Jia
    ACM Workshop on Network and Operating System Support for Digital Audio and Video (NOSSDAV), 2026, 92–98. (CCF-B) DOI
  7. 7. Intuitionistic Fuzzy Local Information C-Means Algorithm for Image Segmentation
    Hanshuai Cui, Zheng Xie*, Wenyi Zeng*, Rong Ma*, Yinghui Zhang, Qian Yin & Zeshui Xu
    Information Sciences (Inf. Sci.), 2024, 681, 121205. (CCF-B) DOI
  8. 8. LIFWCM: Local Information-Based Fuzzy Weighted C-Means Algorithm for Image Segmentation
    Hanshuai Cui, Wenyi Zeng*, Rong Ma, Dong Cheng*, Qianpeng Chong & Zeshui Xu
    Artificial Intelligence Review (Artif. Intell. Rev.), 2026, 59, 6. (SCI Q1; JIF 18.8) DOI
  9. 9. Possibilistic C-Means With Novel Image Representation for Image Segmentation
    Hanshuai Cui, Hongjian Wang, Wenyi Zeng*, Yuqing Liu & Bo Zhao
    Artificial Intelligence Review (Artif. Intell. Rev.), 2025, 58, 56. (SCI Q1; JIF 18.8) DOI

All publications (20)

🎖 Honors and Awards
  • 2025 Outstanding Paper Award, Second Prize, Guangdong Computer Society.
  • 2024 National Scholarship for Graduate Students, Beijing Normal University.
  • 2024 IEEE MSN Best Paper Award.
  • 2020 Outstanding Graduate, Qufu Normal University.
  • 2018 Shandong Province First Prize, China Undergraduate Mathematical Contest in Modeling.
📖 Educations
  • 2020.09 ~ Present, Ph.D. Candidate in Intelligent Science and Technology, Beijing Normal University (expected June 2027).
  • 2016.09 ~ 2020.06, B.Eng. in Computer Science and Technology, Qufu Normal University.