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Haocheng Xi
Observed name:
Xi, Haocheng
Institutions:
Berkeley College,
Nvidia (United States),
University of California, Berkeley
Observed institutions:
Nvidia (United Kingdom),
Berkeley College,
Yunnan University,
Nvidia (United States),
University of California, Berkeley,
Tsinghua University
show all 6
OpenAlex ID:
A5109693865
A benchmark of expert-level academic questions to assess AI capabilities
2026
·
Long Phan
, Alice Gatti
, et al.
·
Nature
·
185
PDF
NVILA: Efficient Frontier Visual Language Models
2025
·
Zhijian Liu
, Ligeng Zhu
, et al.
·
IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings
·
73
PDF
Sparse VideoGen: Accelerating Video Diffusion Transformers with Spatial-Temporal Sparsity
2025
·
Xi, Haocheng
, Yang, Shuo
, et al.
·
arXiv (Cornell University)
·
17
PDF
SpargeAttention: Accurate and Training-free Sparse Attention Accelerating Any Model Inference
2025
·
Zhang, Jintao
, Xiang, Chendong
, et al.
·
arXiv (Cornell University)
·
12
PDF
Sparse VideoGen2: Accelerate Video Generation with Sparse Attention via Semantic-Aware Permutation
2025
·
Shuo Yang
, Haocheng Xi
, et al.
·
neural information processing systems
·
7
Radial Attention: $\mathcal{O}(n\log n)$ Sparse Attention with Energy Decay for Long Video Generation
2025
·
XINGYANG LI
, Muyang Li
, et al.
·
neural information processing systems
·
4
PDF
Oscillation-Reduced MXFP4 Training for Vision Transformers
2025
·
Chen, Yuxiang
, Xi, Haocheng
, et al.
·
arXiv (Cornell University)
·
3
PDF
Residual Context Diffusion Language Models
2026
·
Hu, Yuezhou
, Singh, Harman
, et al.
·
arXiv (Cornell University)
·
2
PDF
T-Rex: Text-assisted Retrosynthesis Prediction
2024
·
Liu, Yifeng
, Xu, Hanwen
, et al.
·
arXiv (Cornell University)
·
2
PDF
LoSA: Locality Aware Sparse Attention for Block-Wise Diffusion Language Models
2026
·
Xi, Haocheng
, Singh, Harman
, et al.
·
arXiv (Cornell University)
·
1
PDF
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)
·
1
PDF
Quant VideoGen: Auto-Regressive Long Video Generation via 2-Bit KV-Cache Quantization
2026
·
Xi, Haocheng
, Yang, Shuo
, et al.
·
arXiv (Cornell University)
·
1
PDF
DC-Gen: Post-training Diffusion Acceleration with Deeply Compressed Latent Space
2026
·
Wenkun He
, Yuchao Gu
, et al.
·
Lecture notes in computer science
·
1
PDF
Jet-Nemotron: Efficient Language Model with Post Neural Architecture Search
2025
·
Yuxian Gu
, Qinghao Hu
, et al.
·
neural information processing systems
·
1
AWA-GCN: Enhancing Chinese sentiment analysis with a novel GCN model for Triplet and Quadruplet Extraction at SIGHAN 2024 dimABSA Task
2024
·
Haocheng Xi
, Yutong Wang
, et al.
·
Applied and Computational Engineering
·
1
Jet-QSparse: Accelerating Agentic LLM Inference with 4-Bit Sparse Attention
2026
·
Tang, Haozhan
, Kang, Hao
, et al.
·
arXiv (Cornell University)
FrontierCS 2: A Benchmark for Computer Science R&D
2026
·
Mang, Qiuyang
, Chai, Wenhao
, et al.
·
arXiv (Cornell University)
PDF
LeapQuant: Efficient Linear Attention with Accurate Recurrent State Quantization
2026
·
Pan, Yi
, Xi, Haocheng
, et al.
·
arXiv (Cornell University)
PDF
Video DeltaNet: A Video-Native Hybrid Attention for Livestream Video Generation
2026
·
Xi, Haocheng
, Xie, Yiming
, et al.
·
arXiv (Cornell University)
PDF
VC-Attention: Value Smoothing and Softmax Casting for Low-bit Attention
2026
·
Li, Xingyang
, Zou, Dongyun
, et al.
·
arXiv (Cornell University)
PDF
FourTune: Towards Fully 4-Bit Efficient Post-Training for Diffusion Models
2026
·
Xue, Bowen
, Min, Zihan
, et al.
·
arXiv (Cornell University)
PDF
Jet-RL: Enabling On-Policy FP8 Reinforcement Learning with Unified Training and Rollout Precision Flow
2026
·
Xi, Haocheng
, Ruan, Charlie
, et al.
·
arXiv (Cornell University)
PDF
SVG-EAR: Parameter-Free Linear Compensation for Sparse Video Generation via Error-aware Routing
2026
·
Xuanyi Zhou
, Qiuyang Mang
, et al.
·
Lecture notes in computer science
PDF
DC-VideoGen: Efficient Video Generation with Deep Compression Video Autoencoder
2025
·
Chen, Junyu
, He, Wenkun
, et al.
·
arXiv (Cornell University)
PDF
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Works count:
25
Citation count:
314
H-index:
5
I10-index:
4
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