PhD Student · HKU

Yao Teng滕 尧

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Yao Teng
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01About

I am a third-year PhD student at The University of Hong Kong, supervised by Xihui Liu.

Before that, I was an M.Sc. student in the MCG Group, Department of Computer Science and Technology, Nanjing University, supervised by Prof. Limin Wang (2020 – 2023), and received my B.Sc. in Software Engineering from Xidian University in 2020.

My research focuses on image / video generation and object detection.

video generation video VAE autoregressive T2I speculative decoding world model object detection
Education
  • 2023 – PRESENT
    The University of Hong Kong
    PhD · HKU MMLab
  • 2020 – 2023
    Nanjing University
    M.Sc. · MCG Group
  • 2016 – 2020
    Xidian University
    B.Sc. · Software Engineering
Internships during PhD
  • 2026.02 – PRESENT
    Tencent
    Research intern · World Model
  • 2025.03 – 2026.02
    ByteDance
    Research intern · Video VAE & Text-to-Video Generation

02Selected Research [ Google Scholar ]

Towards Next-Generation Architectures of Large Language Models: A Survey
Preprint · 2026 survey NEW

Towards Next-Generation Architectures of Large Language Models: A Survey

Yao Teng†, Guoxuan Chen†, Yimeng Chen*, Han Shi*, Piotr Piękos, Jie Ran, Yutao Zeng, Chuanyang Zheng, Jingyao Li, Li Nanbo, Haoli Bai, Chao Huang, Xihui Liu, Di He, Weiyang Liu and Jürgen Schmidhuber

A systematic overview of how LLM architectures are evolving beyond the canonical Transformer: efficient attention, linear-complexity sequence models, MoE, multi-token prediction and more.

Adaptive 1D Video Diffusion Autoencoder
arXiv 2026video tokenizer

Adaptive 1D Video Diffusion Autoencoder

Yao Teng, Minxuan Lin, Xian Liu, Shuai Wang, Xiao Yang and Xihui Liu

Diffusion-based video generation on a one-dimensional video diffusion tokenizer.

SJD++
IEEE T-PAMIautoregressive T2I

SJD++: Improved Speculative Jacobi Decoding for Training-free Acceleration of Discrete Auto-regressive Text-to-Image Generation

Yao Teng, Zhihuan Jiang, Han Shi, Xian Liu, Xuefei Ning, Guohao Dai, Yu Wang, Zhenguo Li and Xihui Liu

Improvement over SJD in speed.

SJD2
NeurIPS 2025autoregressive T2I

Speculative Jacobi-Denoising Decoding for Accelerating Autoregressive Text-to-image Generation

Yao Teng, Fuyun Wang, Xian Liu, Zhekai Chen, Han Shi, Yu Wang, Zhenguo Li, Weiyang Liu, Difan Zou and Xihui Liu

Unifying denoising and autoregressive decoding.

SJD
ICLR 2025autoregressive T2I

Accelerating Auto-regressive Text-to-Image Generation with Training-free Speculative Jacobi Decoding

Yao Teng, Han Shi, Xian Liu, Xuefei Ning, Guohao Dai, Yu Wang, Zhenguo Li and Xihui Liu

The first training-free acceleration method for T2I AR models.

DiM
arXiv 2024diffusion

DiM: Diffusion Mamba for Efficient High-Resolution Image Synthesis

Yao Teng, Yue Wu, Han Shi, Xuefei Ning, Guohao Dai, Yu Wang, Zhenguo Li and Xihui Liu

A Mamba-based diffusion model for image generation.

Drag-A-Video
arXiv 2023video editing

Drag-A-Video: Non-rigid Video Editing with Point-based Interaction

Yao Teng, Enze Xie, Yue Wu, Haoyu Han, Zhenguo Li and Xihui Liu

The “drag” in video editing.

StageInteractor
ICCV 2023detection

StageInteractor: Query-based Object Detector with Cross-stage Interaction

Yao Teng, Haisong Liu, Sheng Guo and Limin Wang

New label assignment and feature interaction for query-based object detection.

LogN
IJCVdetection

Logit Normalization for Long-tail Object Detection

Liang Zhao*, Yao Teng* and Limin Wang

A test-time batch normalization to calibrate logits for long-tail object detection.

Structured Sparse R-CNN
CVPR 2022scene graph

Structured Sparse R-CNN for Direct Scene Graph Generation

Yao Teng and Limin Wang

The first one-stage end-to-end scene graph generation framework without an extra object detector at inference.

TRACE
ICCV 2021scene graph

Target Adaptive Context Aggregation for Video Scene Graph Generation

Yao Teng, Limin Wang, Zhifeng Li and Gangshan Wu

The first framework unifying frame-level and video-level scene graph generation.

Also Co-authored

ECCV 2026

UniDDT: Unifying Multimodal Understanding and Generation with Decoupled Diffusion Transformer

Shuai Wang, Liang Li, Yang Chen, Ruopeng Gao, Yao Teng and Limin Wang

arXiv 2026

Cubic Discrete Diffusion: Discrete Visual Generation on High-Dimensional Representation Tokens

Yuqing Wang, Chuofan Ma, Zhijie Lin, Yao Teng, Lijun Yu, Shuai Wang, Jiaming Han, Jiashi Feng, Yi Jiang and Xihui Liu

AAAI 2026

Self-NPO: Negative Preference Optimization of Diffusion Models by Simply Learning from Itself without Explicit Preference Annotations

Fu-Yun Wang, Keqiang Sun, Yao Teng, Xihui Liu, Jiaming Song and Hongsheng Li

ICCV 2025

Bridging Continuous and Discrete Tokens for Autoregressive Visual Generation

Yuqing Wang, Zhijie Lin, Yao Teng, Yuanzhi Zhu, Shuhuai Ren, Jiashi Feng and Xihui Liu

IEEE T-PAMI 2025

Deep Equilibrium Object Detection and Segmentation

Shuai Wang, Yao Teng and Limin Wang

arXiv 2025

Personalized Text-to-Image Generation with Auto-Regressive Models

Kaiyue Sun, Xian Liu, Yao Teng and Xihui Liu

arXiv 2025

Exploring Representation-Aligned Latent Space for Better Generation

Wanghan Xu, Xiaoyu Yue, Zidong Wang, Yao Teng, Wenlong Zhang, Xihui Liu, Luping Zhou, Wanli Ouyang and Lei Bai

arXiv 2024

CycleHOI: Improving Human-Object Interaction Detection with Cycle Consistency of Detection and Generation

Yisen Wang, Yao Teng and Limin Wang

ICCV 2023

Deep Equilibrium Object Detection

Shuai Wang, Yao Teng and Limin Wang

ICCV 2023

SparseBEV: High-Performance Sparse 3D Object Detection from Multi-Camera Videos

Haisong Liu, Yao Teng, Tao Lu, Haiguang Wang and Limin Wang

03Selected Awards

  • 2021National Scholarship for PostgraduatesNanjing University
  • 2021Pacemaker to Outstanding Graduate StudentNanjing University
  • 20211st Prize, Scholarship for Postgraduate StudentsNanjing University
  • 2019Silver Medal, The 2019 ICPC China Shaanxi Provincial Programming ContestXidian University
  • 2016 – 20182nd Award, University ScholarshipXidian University