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2020 – today
- 2026
[i10]Siqi Kou, Jiachun Jin, Zetong Zhou, Ye Ma, Yugang Wang, Quan Chen, Peng Jiang, Xiao Yang, Jun Zhu, Kai Yu, Zhijie Deng:
Think-Then-Generate: Reasoning-Aware Text-to-Image Diffusion with LLM Encoders. CoRR abs/2601.10332 (2026)- 2025
- [c6]Bokai Lin, Zihao Zeng, Zipeng Xiao, Siqi Kou, TianQi Hou, Xiaofeng Gao, Hao Zhang, Zhijie Deng:
MatryoshkaKV: Adaptive KV Compression via Trainable Orthogonal Projection. ICLR 2025 - [c5]Siqi Kou, Jiachun Jin, Zhihong Liu, Chang Liu, Ye Ma, Jian Jia, Quan Chen, Peng Jiang, Zhijie Deng:
Orthus: Autoregressive Interleaved Image-Text Generation with Modality-Specific Heads. ICML 2025 - [i9]Siqi Kou, Qingyuan Tian, Hanwen Xu, Zihao Zeng, Zhijie Deng:
Which Data Attributes Stimulate Math and Code Reasoning? An Investigation via Influence Functions. CoRR abs/2505.19949 (2025) - [i8]Ethan Chern, Zhulin Hu, Steffi Chern, Siqi Kou, Jiadi Su, Yan Ma, Zhijie Deng, Pengfei Liu:
Thinking with Generated Images. CoRR abs/2505.22525 (2025) - [i7]Yi Yang, Jiaxuan Sun, Siqi Kou, Yihan Wang, Zhijie Deng:
LoHoVLA: A Unified Vision-Language-Action Model for Long-Horizon Embodied Tasks. CoRR abs/2506.00411 (2025) - [i6]Lanxiang Hu, Siqi Kou, Yichao Fu, Samyam Rajbhandari, Tajana Rosing, Yuxiong He, Zhijie Deng, Hao Zhang:
Fast and Accurate Causal Parallel Decoding using Jacobi Forcing. CoRR abs/2512.14681 (2025) - 2024
- [c4]Siqi Kou, Lei Gan, Dequan Wang, Chongxuan Li, Zhijie Deng:
BayesDiff: Estimating Pixel-wise Uncertainty in Diffusion via Bayesian Inference. ICLR 2024 - [c3]Siqi Kou, Lanxiang Hu, Zhezhi He, Zhijie Deng, Hao Zhang:
CLLMs: Consistency Large Language Models. ICML 2024: 25426-25440 - [c2]Zipeng Xiao, Siqi Kou, Zhongkai Hao, Bokai Lin, Zhijie Deng:
Amortized Fourier Neural Operators. NeurIPS 2024 - [i5]Siqi Kou, Lanxiang Hu, Zhezhi He, Zhijie Deng, Hao Zhang:
CLLMs: Consistency Large Language Models. CoRR abs/2403.00835 (2024) - [i4]Bokai Lin, Zihao Zeng, Zipeng Xiao, Siqi Kou, Tianqi Hou, Xiaofeng Gao, Hao Zhang, Zhijie Deng:
MatryoshkaKV: Adaptive KV Compression via Trainable Orthogonal Projection. CoRR abs/2410.14731 (2024) - [i3]Siqi Kou, Jiachun Jin, Chang Liu, Ye Ma, Jian Jia, Quan Chen, Peng Jiang, Zhijie Deng:
Orthus: Autoregressive Interleaved Image-Text Generation with Modality-Specific Heads. CoRR abs/2412.00127 (2024) - 2023
- [c1]Teng Hu, Jiangning Zhang
, Liang Liu, Ran Yi, Siqi Kou, Haokun Zhu, Xu Chen, Yabiao Wang, Chengjie Wang, Lizhuang Ma:
Phasic Content Fusing Diffusion Model with Directional Distribution Consistency for Few-Shot Model Adaption. ICCV 2023: 2406-2415 - [i2]Teng Hu, Jiangning Zhang, Liang Liu, Ran Yi, Siqi Kou, Haokun Zhu, Xu Chen, Yabiao Wang, Chengjie Wang, Lizhuang Ma:
Phasic Content Fusing Diffusion Model with Directional Distribution Consistency for Few-Shot Model Adaption. CoRR abs/2309.03729 (2023) - [i1]Siqi Kou, Lei Gan, Dequan Wang, Chongxuan Li, Zhijie Deng:
BayesDiff: Estimating Pixel-wise Uncertainty in Diffusion via Bayesian Inference. CoRR abs/2310.11142 (2023)
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