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2020 – today
- 2026
[i11]Bowen Lin, Fanjiang Ye, Yihua Liu, Zhenghui Guo, Boyuan Zhang, Weijian Zheng, Yufan Xu, Tiancheng Xing
, Yuke Wang, Chengming Zhang:
SDiT: Semantic Region-Adaptive for Diffusion Transformers. CoRR abs/2601.12283 (2026)- [i10]Yihua Liu, Fanjiang Ye, Bowen Lin, Rongyu Fang, Chengming Zhang:
TIDE: Text-Informed Dynamic Extrapolation with Step-Aware Temperature Control for Diffusion Transformers. CoRR abs/2603.08928 (2026) - [i9]Fanjiang Ye, Zhangke Li, Xinrui Zhong, Ethan Ma, Russell Chen, Kaijian Wang, Jingwei Zuo, Desen Sun, Ye Cao, Triston Cao, Myungjin Lee, Arvind Krishnamurthy, Yuke Wang:
GENSERVE: Efficient Co-Serving of Heterogeneous Diffusion Model Workloads. CoRR abs/2604.04335 (2026) - [i8]Jingwei Zuo, Xinze Feng, Zien Liu, Kaijian Wang, Fanjiang Ye, Ye Cao, Zhuang Wang, Yuke Wang:
ALTO: Adaptive LoRA Tuning and Orchestration for Heterogeneous LoRA Training Workloads. CoRR abs/2604.05426 (2026) - [i7]Kaijian Wang, Yuanyuan Xu, Fanjiang Ye, Ye Cao, Jingwei Zuo, T. S. Eugene Ng, Yarong Mu, Yuke Wang:
AoiZora: Topology-Aware Auto-Parallel Optimization for Inference of Diffusion Transformers. CoRR abs/2606.17566 (2026) - 2025
- [c5]Xiyuan Wei, Ming Lin, Fanjiang Ye, Fengguang Song, Liangliang Cao, My T. Thai, Tianbao Yang:
Model Steering: Learning with a Reference Model Improves Generalization Bounds and Scaling Laws. ICML 2025 - [c4]Boyuan Zhang, Bo Fang, Fanjiang Ye, Luanzheng Guo, Fengguang Song, Nathan R. Tallent, Dingwen Tao:
BMQSim: Overcoming Memory Constraints in Quantum Circuit Simulation with a High-Fidelity Compression Framework. ICS 2025: 689-704 - [c3]Jinda Jia, Cong Xie, Hanlin Lu, Fanjiang Ye, Hao Feng, Daoce Wang, Haibin Lin, Zhi Zhang, Xin Liu:
DUO: No Compromise to Accuracy Degradation. NeurIPS 2025 - [c2]Boyuan Zhang, Luanzheng Guo, Jiannan Tian, Jinyang Liu, Daoce Wang, Fanjiang Ye, Chengming Zhang, Jan Strube, Nathan R. Tallent, Dingwen Tao:
High-performance Visual Semantics Compression for AI-Driven Science. PPoPP 2025: 557-559 - [i6]Xiyuan Wei, Ming Lin, Fanjiang Ye, Fengguang Song, Liangliang Cao, My T. Thai, Tianbao Yang:
Model Steering: Learning with a Reference Model Improves Generalization Bounds and Scaling Laws. CoRR abs/2505.06699 (2025) - [i5]Fanjiang Ye, Zepeng Zhao, Yi Mu, Jucheng Shen, Renjie Li, Kaijian Wang, Desen Sun, Saurabh Agarwal, Myungjin Lee, Triston Cao, Aditya Akella, Arvind Krishnamurthy, T. S. Eugene Ng, Zhengzhong Tu, Yuke Wang:
SuperGen: An Efficient Ultra-high-resolution Video Generation System with Sketching and Tiling. CoRR abs/2508.17756 (2025) - [i4]Xinrui Zhong, Xinze Feng, Jingwei Zuo, Fanjiang Ye, Yi Mu, Junfeng Guo, Heng Huang, Myungjin Lee, Yuke Wang:
An Efficient and Adaptive Watermark Detection System with Tile-based Error Correction. CoRR abs/2509.02447 (2025) - 2024
- [c1]Hao Feng, Boyuan Zhang, Fanjiang Ye, Min Si, Ching-Hsiang Chu, Jiannan Tian, Chunxing Yin, Summer Deng, Yuchen Hao, Pavan Balaji, Tong Geng, Dingwen Tao:
Accelerating Communication in Deep Learning Recommendation Model Training with Dual-Level Adaptive Lossy Compression. SC 2024: Article 89 - [i3]Xiyuan Wei, Fanjiang Ye, Ori Yonay, Xingyu Chen, Baixi Sun, Dingwen Tao, Tianbao Yang:
FastCLIP: A Suite of Optimization Techniques to Accelerate CLIP Training with Limited Resources. CoRR abs/2407.01445 (2024) - [i2]Hao Feng, Boyuan Zhang, Fanjiang Ye, Min Si, Ching-Hsiang Chu, Jiannan Tian, Chunxing Yin, Summer Deng, Yuchen Hao, Pavan Balaji, Tong Geng, Dingwen Tao:
Accelerating Communication in Deep Learning Recommendation Model Training with Dual-Level Adaptive Lossy Compression. CoRR abs/2407.04272 (2024) - [i1]Boyuan Zhang, Bo Fang, Fanjiang Ye, Yida Gu, Nathan R. Tallent, Guangming Tan, Dingwen Tao:
Overcoming Memory Constraints in Quantum Circuit Simulation with a High-Fidelity Compression Framework. CoRR abs/2410.14088 (2024)
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