Introduction

Yang Liu (刘阳)

Associate Professor @ Sun Yat-sen University (SYSU)

liuy856@mail.sysu.edu.cn
School of Computer Science and Engineering, SYSU, Guangzhou, China
Core Member of HCP-Lab

I am currently an Associate Professor at the School of Computer Science and Engineering, Sun Yat-sen University (SYSU), and a core member of the HCP Lab. I obtained my Ph.D. degree from Xidian University in 2019. My research primarily focuses on Embodied AI & Robotics, Self-evolving Agents, and Multimodal Perception & Reasoning.

I have published 60+ papers in top-tier venues including TPAMI, TIP, TKDE, CVPR, ICCV, ICML, NeurIPS and ACM MM — among them 7 first/corresponding-author journal papers were selected as ESI Highly Cited / Hot Papers, 5 conference papers as Oral / Highlight, and one ranked Top-2 on the TMech Popular Articles list. I co-authored the monograph Multimodal Large Models: The New Paradigm of Artificial General Intelligence (10,000+ copies sold, adopted as a textbook by 20+ universities; English edition published by Springer, 2026). As PI, I lead 10+ projects funded by NSFC (General / Young / Key sub-project), Pengcheng Laboratory, Huawei, and provincial foundations. I serve as an Associate Editor of Pattern Recognition, as associate editor-in-chief of the group standard Technical Requirements for Multimodal Perception and Pattern Recognition of Embodied Intelligence, and as a co-initiator of the self-evolving embodied agent operating system PhyAgentOS. Chinese Homepage

Recruiting

Fall 2027 admission: students with AI algorithm experience or robot software/hardware development background are preferred — please email me your self-introduction, transcripts and CV.

Research interns are recruited year-round with stipend; priority is given to those who plan to stay for graduate study.

Our team offers sufficient computing resources and robotic hardware (quadruped robots, mobile manipulators, Franka arms) to support embodied AI research.

60⁺

Publications

ESI Highly Cited / Hot

Oral / Highlight Papers

10⁺

Grants as PI / Lead

Research Interests

Embodied AI & Robotics

Vision-Language NavigationRobotic ManipulationRobot System Integration & Infrastructure

Multimodal Perception & Reasoning

3D Spatial ReasoningMath / Physics Problem ReasoningVisual Question Answering

Causal Inference

Causal Representation LearningCausal Reinforcement LearningCounterfactual Reasoning

Selected Awards

Outstanding Teaching Achievement Award of Guangdong Postgraduate Education Society (2nd Prize, rank 1), 2025
Excellent Author of PHE (Publishing House of Electronics Industry), 2024
3rd Guangdong Young CS Academic Show (1st Prize), 2023
CCF ChinaSoft 2023 Robotic Foundation Model & Embodied Intelligence Challenge (Excellence Award, Advisor), 2023
National Scholarship for Ph.D. Students, 2018

Updates

News

2026-07 One paper is accepted by IEEE TKDE!
2026-06 One paper is accepted by IEEE TIP!
2026-04 Two papers are accepted by ICML 2026!
2026-03 I am invited to serve as an AE for Embodied Intelligence!
2026-03 Our T-Mech paper is selected as the ESI Highly Cited Paper!
2026-03 Our T-KDE paper is selected as the ESI Highly Cited Paper!
2026-03 I am invited to serve as an AE for Embodied Intelligence and Robotics!
2026-03 I am invited to serve as an AE for Pattern Recognition!
2026-02 Three papers are accepted by CVPR 2026!
2026-02 The book "Multimodal Large Models: A New Paradigm of Artificial Intelligence" has now been published on Springer Nature!
2025-11 One T-IP paper is selected as the ESI Highly Cited Paper!
2025-09 Two papers are accepted by NeurIPS 2025!
2025-08 One paper is accepted by Neural Networks!
2025-07 One paper is accepted by ACM MM 2025 as Oral!
2025-06 One paper is accepted by ICCV 2025!
2025-06 One paper is accepted by IEEE TKDE!
2025-05 Our Embodied AI Survey paper is accepted by IEEE/ASME T-Mechatronics!
2025-05 One paper is accepted by ACL 2025!
2025-05 Paper "Cross-Modal Causal Representation Learning..." accepted by IEEE T-IP!
2025-04 Our CRA-GQA is selected as CVPR 2025 Highlight!
2025-02 Three papers are accepted by CVPR 2025!
2024-07 We release the paper list for Embodied AI!
2024-07 One paper is accepted by ACM MM 2024!
2024-06 The book Multimodal Large Models: The New Paradigm of Artificial General Intelligence is selected for the SYSU Undergraduate Textbook Series!
2024-05 One first-author T-PAMI paper is selected as the ESI Hot Cited Paper!
2024-05 One first-author T-PAMI paper is selected as the ESI Highly Cited Paper!
2024-04 The book of multimodal large model Multimodal Large Models: The New Paradigm of Artificial General Intelligence is published!
2023-12 I won the third prize of CCF ChinaSoft 2023 Robotic Big Model and Embodied Intelligence Challenge!
2023-11 One first-author T-IP paper is selected as the ESI Hot Cited Paper!
2023-10 An invention patent has been granted.
2023-07 One paper accepted by ACM MM 2023!
2023-07 Two papers accepted by ICCV 2023!
2023-06 One paper accepted by T-PAMI!
2023-03 The open-source framework Causal-VLReasoning is online!
2022-03 One paper accepted by CVPR 2022 as Oral presentation.
2021-10 I start working as a research associate professor at Sun-Yat-Sen University.

Selected Works

Publications

Books

Multimodal Large Models: The New Paradigm of Artificial General Intelligence

Yang Liu, Liang Lin

Publishing House of Electronics Industry (PHE), 2024. Textbook Series

Resource JD.com Media

Multimodal Large Models: A New Paradigm of Artificial Intelligence

Liang Lin, Yang Liu

Springer Nature, 2026.

Book

Open-source Framework

PhyAgentOS: Self-evolving Agentic Embodied AI Operating System

PhyAgentOS is a self-evolving embodied AI operating system built on agentic workflows..

Project Website Report

CausalVLR: A Toolbox and Benchmark for Visual-Linguistic Causal Reasoning

Yang Liu, Weixing Chen, Guanbin Li, Liang Lin

CausalVLR is a python open-source framework for causal relation discovery and inference, implementing SOTA causality learning algorithms for various visual-linguistic reasoning tasks.

Code Paper BibTex

@article{CausalVLR, title={CausalVLR: A Toolbox and Benchmark for Visual-Linguistic Causal Reasoning}, author={Liu, Yang and Chen, Weixing and Li, Guanbin and Lin, Liang}, journal={arXiv preprint arXiv:2306.17462}, year={2023} }

Selected Papers

PhyAgentOS: A Self-Evolving Operating System for Embodied Agents with Decoupled Cognitive Planning and Physical Execution

Yang Liu, Weixing Chen, Xinshuai Song, Tao Pu, Siwen Mo, Yongjie Bai, Zihao Chen, Qianran Sun, Liruo Zhong, Ying Shen, Liang Lin

Preprint, 2026

Paper Project BibTex

@article{liu2026phyagentos, title={PhyAgentOS: A Self-Evolving Operating System for Embodied Agents with Decoupled Cognitive Planning and Physical Execution}, author={Liu, Yang and Chen, Weixing and Song, Xinshuai and Pu, Tao and Mo, Siwen and Bai, Yongjie and Chen, Zihao and Sun, Qianran and Zhong, Liruo and Shen, Ying and others}, journal={arXiv preprint arXiv:2607.16636}, year={2026} }

Bridge-WA: Predicting Where and How the World Changes for Robotic Action

Yongjie Bai, Hanting Wang, Mingtong Dai, Qijun Zhong, Yang Liu^✉, Liang Lin

Preprint, 2026

Paper Project BibTex

@article{bai2026bridge, title={Bridge-WA: Predicting Where and How the World Changes for Robotic Action}, author={Bai, Yongjie and Wang, Hanting and Dai, Mingtong and Zhong, Qijun and Liu, Yang and Lin, Liang}, journal={arXiv preprint arXiv:2607.02195}, year={2026} }

EG-VQA: Benchmarking Verifiable Video Question Answering with Grounded Temporal Evidence

Linpeng Huang, Weixing Chen, Zexin Chen, Yang Liu^✉, Liang Lin

Preprint, 2026

Paper Project BibTex

@article{huang2026eg, title={EG-VQA: Benchmarking Verifiable Video Question Answering with Grounded Temporal Evidence}, author={Huang, Linpeng and Chen, Weixing and Chen, Zexin and Liu, Yang and Lin, Liang}, journal={arXiv preprint arXiv:2606.24797}, year={2026} }

RoVLA: Multi-Consistency Constraints for Robust Vision-Language-Action Models

Jingzhou Luo, Yifan Wen, Yongjie Bai, Xinshuai Song, Yang Liu^✉, Liang Lin

Preprint, 2026

Paper Project BibTex

@article{luo2026rovla, title={RoVLA: Multi-Consistency Constraints for Robust Vision-Language-Action Models}, author={Luo, Jingzhou and Wen, Yifan and Bai, Yongjie and Song, Xinshuai and Liu, Yang and Lin, Liang}, journal={arXiv preprint arXiv:2605.19678}, year={2026} }

In-Context Model Predictive Generation: Open-Vocabulary Motion Synthesis from Language Models to Physics

Xiaomeng Fu, Junfan Lin, Yang Liu, Yaowei Wang, Guanbin Li, Liang Lin, Ziliang Chen

IEEE Transactions on Image Processing (T-IP), 2026

Paper Project BibTex

@article{fu2026context, title={In-Context Model Predictive Generation: Open-Vocabulary Motion Synthesis from Language Models to Physics}, author={Fu, Xiaomeng and Lin, Junfan and Liu, Yang and Wang, Yaowei and Li, Guanbin and Lin, Liang and Chen, Ziliang}, journal={IEEE Transactions on Image Processing}, year={2026}, publisher={IEEE} }

AdaPrompt: Adaptive Prompt Learning to Alleviate Semantic Inconsistency for Conversational Recommendation

Yongsen Zheng, Guohua Wang, Jinghui Qin, Yang Liu, Liang Lin, Kwok-Yan Lam

IEEE Transactions on Knowledge and Data Engineering (T-KDE), 2026

Paper Project BibTex

@article{zheng2026adaprompt, title={AdaPrompt: Adaptive Prompt Learning to Alleviate Semantic Inconsistency for Conversational Recommendation}, author={Zheng, Yongsen and Wang, Guohua and Qin, Jinghui and Liu, Yang and Lin, Liang and Lam, Kwok-Yan}, journal={IEEE Transactions on Knowledge and Data Engineering}, year={2026}, publisher={IEEE} }

DDP-WM: Disentangled Dynamics Prediction for Efficient World Models

Shicheng Yin#, Kaixuan Yin#, Weixing Chen, Yang Liu^✉, Guanbin Li, Liang Lin

International Conference on Machine Learning (ICML), 2026

Paper Project BibTex

PhyScene3D: Physically Consistent Interactive 3D Tabletop Scene Generation

Weixing Chen#, Zhuoqian Feng#, Yang Liu, Yexin Zhang, Yifan Wen, Yinghong Liao, Weichao Qiu, Guanbin Li, Liang Lin

International Conference on Machine Learning (ICML), 2026

Paper Project BibTex

@inproceedings{chenphyscene3d, title={PhyScene3D: Physically Consistent 3D Interactive Tabletop Scene Generation}, author={Chen, Weixing and Feng, Zhuoqian and Liu, Yang and Zhang, Yexin and Wen, Yifan and Liao, Yinghong and Qiu, Weichao and Li, Guanbin and Lin, Liang}, booktitle={Forty-third International Conference on Machine Learning} }

Learning to See and Act: Task-Aware Virtual View Exploration for Robotic Manipulation

Yongjie Bai#, Zhouxia Wang#, Yang Liu^✉, Kaijun Luo, Yifan Wen, Mingtong Dai, Weixing Chen, Ziliang Chen, Mingtong Dai, Yongsen Zheng, Lingbo Liu, Guanbin Li, Liang Lin

IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2026

Paper Project BibTex

@inproceedings{bai2026learning, title={Learning to see and act: Task-aware virtual view exploration for robotic manipulation}, author={Bai, Yongjie and Wang, Zhouxia and Liu, Yang and Luo, Kaijun and Wen, Yifan and Dai, Mingtong and Chen, Weixing and Chen, Ziliang and Liu, Lingbo and Li, Guanbin and others}, booktitle={Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition}, pages={13386--13396}, year={2026} }

3DAffordSplat: Efficient Affordance Reasoning with 3D Gaussians

Zeming Wei#, Junyi Lin#, Yang Liu^✉, Weixing Chen, Jingzhou Luo, Guanbin Li, Liang Lin

ACM International Conference on Multimedia (ACM MM), 2025 Oral

Paper Project BibTex

@inproceedings{wei20253daffordsplat, title={3daffordsplat: Efficient affordance reasoning with 3d gaussians}, author={Wei, Zeming and Lin, Junyi and Liu, Yang and Chen, Weixing and Luo, Jingzhou and Li, Guanbin and Lin, Liang}, booktitle={Proceedings of the 33rd ACM International Conference on Multimedia}, pages={2821--2830}, year={2025} }

Beyond the Destination: A Novel Benchmark for Exploration-Aware Embodied Question Answering

Kaixuan Jiang, Yang Liu^✉, Weixing Chen, Jingzhou Luo, Ziliang Chen, Ling Pan, Guanbin Li, Liang Lin

IEEE/CVF International Conference on Computer Vision (ICCV), 2025

Paper Project BibTex

@inproceedings{EXPRESSBench, title={Beyond the Destination: A Novel Benchmark for Exploration-Aware Embodied Question Answering}, author={Jiang, Kaixuan and Liu, Yang and Chen, Weixing and Luo, Jingzhou and Chen, Ziliang and Pan, Ling and Li, Guanbin and Lin, Liang}, year={2025}, booktitle={IEEE/CVF International Conference on Computer Vision (ICCV)} }

Aligning Cyber Space with Physical World: A Comprehensive Survey on Embodied AI

Yang Liu, Weixing Chen, Yongjie Bai, Xiaodan Liang, Guanbin Li, Wen Gao, Liang Lin

IEEE/ASME Transactions on Mechatronics, 2025 ESI Highly Cited

Paper Paper List BibTex

@article{liu2025aligning, title={Aligning cyber space with physical world: A comprehensive survey on embodied ai}, author={Liu, Yang and Chen, Weixing and Bai, Yongjie and Liang, Xiaodan and Li, Guanbin and Gao, Wen and Lin, Liang}, journal={IEEE/ASME Transactions on Mechatronics}, year={2025}, publisher={IEEE} }

Cross-Modal Causal Representation Learning for Radiology Report Generation

Weixing Chen, Yang Liu^✉, Ce Wang, Jiarui Zhu, Guanbin Li, Cheng-Lin Liu, Liang Lin

IEEE Transactions on Image Processing (T-IP), 2025 ESI Highly Cited

Paper Code BibTex

@article{chen2025visual, title={Cross-Modal Causal Representation Learning for Radiology Report Generation}, author={Chen, Weixing and Liu, Yang and Wang, Ce and Zhu, Jiarui and Li, Guanbin and Liu, Cheng-Lin and Lin, Liang}, journal={IEEE Transactions on Image Processing}, year={2025} }

ODMixer: Fine-grained Spatial-temporal MLP for Metro Origin-Destination Prediction

Yang Liu, Binglin Chen, Yongsen Zheng, Lechao Cheng, Guanbin Li, Liang Lin

IEEE Transactions on Knowledge and Data Engineering (TKDE), 2025 ESI Highly Cited

Paper Code BibTex

@article{liu2025odmixer, title={ODMixer: Fine-grained spatial-temporal MLP for metro origin-destination prediction}, author={Liu, Yang and Chen, Binglin and Zheng, Yongsen and Cheng, Lechao and Li, Guanbin and Lin, Liang}, journal={IEEE Transactions on Knowledge and Data Engineering}, volume={37}, number={9}, pages={5508--5522}, year={2025}, publisher={IEEE} }

AutoLayout: Closed-Loop Layout Synthesis via Slow-Fast Collaborative Reasoning

Weixing Chen, Dafeng Chi, Yang Liu^✉, Yuxi Yang, Yexin Zhang, Yuzheng Zhuang, Xingyue Quan, Jianye Hao, Guanbin Li, Liang Lin

Preprint, 2025

Paper BibTex

@article{chen2025autolayout, title={AutoLayout: Closed-Loop Layout Synthesis via Slow-Fast Collaborative Reasoning}, author={Chen, Weixing and Chi, Dafeng and Liu, Yang and Yang, Yuxi and Zhang, Yexin and Zhuang, Yuzheng and Quan, Xingyue and Hao, Jianye and Li, Guanbin and Lin, Liang}, journal={arXiv preprint arXiv:2507.04293}, year={2025} }

DART: Differentiable Dynamic Adaptive Region Tokenizer for Vision Foundation Models

Shicheng Yin, Kaixuan Yin, Yang Liu^✉, Weixing Chen, Liang Lin

Preprint, 2025

Paper Project BibTex

@article{yin2025dart, title={DART: Differentiable Dynamic Adaptive Region Tokenizer for Vision Transformer and Mamba}, author={Shicheng Yin and Kaixuan Yin and Yang Liu and Weixing Chen and Liang Lin}, journal={arXiv preprint arXiv:2506.10390}, year={2025} }

Towards Long-Horizon Vision-Language Navigation: Platform, Benchmark and Method

Xinshuai Song*, Weixing Chen*, Yang Liu^✉, Weikai Chen, Guanbin Li, Liang Lin

IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2025

Paper Project BibTex

@inproceedings{song2024towards, title={Towards long-horizon vision-language navigation: Platform, benchmark and method}, author={Song, Xinshuai and Chen, Weixing and Liu, Yang and Chen, Weikai and Li, Guanbin and Lin, Liang}, booktitle={Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition}, year={2025} }

DSPNet: Dual-vision Scene Perception for Robust 3D Question Answering

Jingzhou Luo, Yang Liu^✉, Weixing Chen, Zhen Li, Yaowei Wang, Guanbin Li, Liang Lin

IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2025

Paper Project BibTex

@inproceedings{luo2025dspnet, title={DSPNet: Dual-vision Scene Perception for Robust 3D Question Answering}, author={Luo, Jingzhou and Liu, Yang and Chen, Weixing and Li, Zhen and Wang, Yaowei and Li, Guanbin and Lin, Liang}, booktitle={Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition}, year={2025} }

Cross-modal Causal Relation Alignment for Video Question Grounding

Weixing Chen, Yang Liu^✉, Binglin Chen, Jiandong Su, Yongsen Zheng, Liang Lin

IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2025 Highlight

Paper Project BibTex

@inproceedings{chen2025cross, title={Cross-modal Causal Relation Alignment for Video Question Grounding}, author={Chen, Weixing and Liu, Yang and Chen, Binglin and Su, Jiandong and Zheng, Yongsen and Lin, Liang}, booktitle={Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition}, year={2025} }

InfiniteWorld: A Unified Scalable Simulation Framework for General Visual-Language Robot Interaction

Pengzhen Ren, Min Li, Zhen Luo, Xinshuai Song, Ziwei Chen, Weijia Liufu, Yixuan Yang, Hao Zheng, Rongtao Xu, Zitong Huang, Tongsheng Ding, Luyang Xie, Kaidong Zhang, Changfei Fu, Yang Liu, Liang Lin, Feng Zheng, Xiaodan Liang

arXiv preprint:2412.05789, 2024

Paper Project BibTex

@article{ren2024infiniteworld, title={InfiniteWorld: A Unified Scalable Simulation Framework for General Visual-Language Robot Interaction}, author={Ren, Pengzhen and Li, Min and Luo, Zhen and Song, Xinshuai and Chen, Ziwei and Liufu, Weijia and Yang, Yixuan and Zheng, Hao and Xu, Rongtao and Huang, Zitong and others}, journal={arXiv preprint arXiv:2412.05789}, year={2024} }

Cross-Modal Causal Relational Reasoning for Event-Level Visual Question Answering

Yang Liu, Guanbin Li, Liang Lin

IEEE Transactions on Pattern Analysis and Machine Intelligence (T-PAMI), 2023 ESI Highly Cited & Hot

Paper Code BibTex

@article{liu2022cross, author={Liu, Yang and Li, Guanbin and Lin, Liang}, journal={IEEE Transactions on Pattern Analysis and Machine Intelligence}, title={Cross-Modal Causal Relational Reasoning for Event-Level Visual Question Answering}, year={2023}, doi={10.1109/TPAMI.2023.3284038} }

Diversity Matters: User-Centric Multi-Interest Learning for Conversational Movie Recommendation

Yongsen Zheng, Guohua Wang, Yang Liu, Liang Lin

ACM International Conference on Multimedia (ACM MM), 2024

Paper

MEIA: Multimodal Embodied Perception and Interaction in Unknown Environments

Yang Liu, Xinshuai Song, Kaixuan Jiang, Weixing Chen, Jingzhou Luo, Guanbin Li, Liang Lin

arXiv preprint:2402.00290, 2024

Paper BibTex

@article{liu2024multimodal, title={MEIA: Multimodal Embodied Perception and Interaction in Unknown Environments}, author={Liu, Yang and Song, Xinshuai and Jiang, Kaixuan and Chen, Weixing and Luo, Jingzhou and Li, Guanbin and Lin, Liang}, journal={arXiv preprint arXiv:2402.00290}, year={2024} }

CausalGPT: Illuminating Faithfulness and Causality for Knowledge-based Reasoning with LLMs

Ziyi Tang, Ruilin Wang, Weixing Chen, Yongsen Zheng, Yang Liu, Keze Wang, Tianshui Chen, Liang Lin

arXiv preprint:2308.11914, 2023

Paper Code BibTex

@article{tang2023towards, title={Towards causalgpt: A multi-agent approach for faithful knowledge reasoning via promoting causal consistency in llms}, author={Tang, Ziyi and Wang, Ruilin and Chen, Weixing and Wang, Keze and Liu, Yang and Chen, Tianshui and Lin, Liang}, journal={arXiv preprint arXiv:2308.11914}, year={2023} }

Visual Causal Scene Refinement for Video Question Answering

Yushen Wei*, Yang Liu*, Hong Yan, Guanbin Li, Liang Lin^✉

ACM International Conference on Multimedia (ACM MM), 2023 Oral

Paper Code BibTex

@inproceedings{10.1145/3581783.3611873, author = {Wei, Yushen and Liu, Yang and Yan, Hong and Li, Guanbin and Lin, Liang}, title = {Visual Causal Scene Refinement for Video Question Answering}, year = {2023}, series = {MM '23} }

SkeletonMAE: Graph-based Masked Autoencoder for Skeleton Sequence Pre-training

Hong Yan, Yang Liu^✉, Yushen Wei, Zhen Li, Guanbin Li, Liang Lin

IEEE/CVF International Conference on Computer Vision (ICCV), 2023

Paper Code BibTex

@inproceedings{yan2023skeletonmae, title={Skeletonmae: graph-based masked autoencoder for skeleton sequence pre-training}, author={Yan, Hong and Liu, Yang and Wei, Yushen and Li, Zhen and Li, Guanbin and Lin, Liang}, booktitle={Proceedings of the IEEE/CVF International Conference on Computer Vision}, year={2023} }

Enhanced Soft Label for Semi-Supervised Semantic Segmentation

Jie Ma, Chuan Wang, Yang Liu, Liang Lin, Guanbin Li

IEEE/CVF International Conference on Computer Vision (ICCV), 2023

Paper Code BibTex

@inproceedings{ma2023enhanced, title={Enhanced Soft Label for Semi-Supervised Semantic Segmentation}, author={Ma, Jie and Wang, Chuan and Liu, Yang and Lin, Liang and Li, Guanbin}, booktitle={Proceedings of the IEEE/CVF International Conference on Computer Vision}, year={2023} }

DenseLight: Efficient Control for Large-scale Traffic Signals with Dense Feedback

Junfan Lin, Yuying Zhu, Lingbo Liu, Yang Liu^✉, Guanbin Li, Liang Lin

International Joint Conference on Artificial Intelligence (IJCAI), 2023

Paper Code BibTex

@inproceedings{ijcai2023p672, title={DenseLight: Efficient Control for Large-scale Traffic Signals with Dense Feedback}, author={Lin, Junfan and Zhu, Yuying and Liu, Lingbo and Liu, Yang and Li, Guanbin and Lin, Liang}, booktitle={Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, {IJCAI-23}}, year={2023} }

Hybrid-Order Representation Learning for Electricity Theft Detection

Yuying Zhu, Yang Zhang, Lingbo Liu, Yang Liu^✉, Guanbin Li, Mingzhi Mao, Liang Lin

IEEE Transactions on Industrial Informatics (T-II), 2023

Paper Code BibTex

@article{zhu2022hybrid, title={Hybrid-Order Representation Learning for Electricity Theft Detection}, author={Zhu, Yuying and Zhang, Yang and Liu, Lingbo and Liu, Yang and Li, Guanbin and Mao, Mingzhi and Lin, Liang}, journal={IEEE Transactions on Industrial Informatics}, year={2023} }

Urban Regional Function Guided Traffic Flow Prediction

Kuo Wang, Lingbo Liu, Yang Liu^✉, Guanbin Li, Liang Lin

Information Sciences (INS), 2023

Paper BibTex

@article{TFP, title = {Urban regional function guided traffic flow prediction}, journal = {Information Sciences}, year = {2023}, author = {Kuo Wang and LingBo Liu and Yang Liu and GuanBin Li and Fan Zhou and Liang Lin}, }

Dual adversarial adaptation for cross-device real-world image super-resolution

Xiaoqian Xu, Pengxu Wei, Weikai Chen, Yang Liu, Mingzhi Mao, Liang Lin, Guanbin Li

IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2022 Oral

Paper Code BibTex

@inproceedings{xu2022dual, title={Dual adversarial adaptation for cross-device real-world image super-resolution}, author={Xu, Xiaoqian and Wei, Pengxu and Chen, Weikai and Liu, Yang and Mao, Mingzhi and Lin, Liang and Li, Guanbin}, booktitle={Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition}, year={2022} }

Causal Reasoning Meets Visual Representation Learning: A Prospective Study

Yang Liu, Yushen Wei, Hong Yan, Guanbin Li, Liang Lin

Machine Intelligence Research (MIR), 2022 Top-10 Downloads

Paper Video Interpretation BibTex

@article{liu2022causal, title={Causal Reasoning Meets Visual Representation Learning: A Prospective Study}, author={Liu, Yang and Wei, Yu-Shen and Yan, Hong and Li, Guan-Bin and Lin, Liang}, journal={Machine Intelligence Research}, year={2022} }

Cross-modal knowledge distillation for Vision-to-Sensor action recognition

Jianyuan Ni, Raunak Sarbajna, Yang Liu, Anne HH Ngu, Yan Yan

IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2022

Paper BibTex

@inproceedings{ni2022cross, title={Cross-modal knowledge distillation for vision-to-sensor action recognition}, author={Ni, Jianyuan and Sarbajna, Raunak and Liu, Yang and Ngu, Anne HH and Yan, Yan}, booktitle={ICASSP}, year={2022} }

TCGL: Temporal Contrastive Graph for Self-supervised Video Representation Learning

Yang Liu, Keze Wang, Lingbo Liu, Haoyuan Lan, Liang Lin

IEEE Transactions on Image Processing (T-IP), 2022 ESI Highly Cited & Hot

Paper Code BibTex

@article{liu2022tcgl, title={TCGL: Temporal Contrastive Graph for Self-Supervised Video Representation Learning}, author={Liu, Yang and Wang, Keze and Liu, Lingbo and Lan, Haoyuan and Lin, Liang}, journal={IEEE Transactions on Image Processing}, year={2022} }

Semantics-aware Adaptive Knowledge Distillation for Sensor-to-Vision Action Recognition

Yang Liu, Keze Wang, Guanbin Li, Liang Lin

IEEE Transactions on Image Processing (T-IP), 2021

Paper Code BibTex

@article{liu2021semantics, title={Semantics-aware adaptive knowledge distillation for sensor-to-vision action recognition}, author={Liu, Yang and Wang, Keze and Li, Guanbin and Lin, Liang}, journal={IEEE Transactions on Image Processing}, year={2021} }

Deep Image-to-Video Adaptation and Fusion Networks for Action Recognition

Yang Liu, Zhaoyang Lu, Jing Li, Tao Yang, Chao Yao

IEEE Transactions on Image Processing (T-IP), 2020

Paper Code BibTex

@article{liu2019deep, title={Deep image-to-video adaptation and fusion networks for action recognition}, author={Liu, Yang and Lu, Zhaoyang and Li, Jing and Yang, Tao and Yao, Chao}, journal={IEEE Transactions on Image Processing}, year={2019} }

Hierarchically Learned View-Invariant Representations for Cross View Action Recognition

Yang Liu, Zhaoyang Lu, Jing Li, Tao Yang

IEEE Transactions on Circuits and Systems for Video Technology (T-CSVT), 2019

Paper Code BibTex

@article{liu2018hierarchically, title={Hierarchically learned view-invariant representations for cross-view action recognition}, author={Liu, Yang and Lu, Zhaoyang and Li, Jing and Yang, Tao}, journal={IEEE Transactions on Circuits and Systems for Video Technology}, year={2018} }

Global Temporal Representation based CNNs for Infrared Action Recognition

Yang Liu, Zhaoyang Lu, Jing Li, Tao Yang, Chao Yao

IEEE Signal Processing Letters (SPL), 2018

Paper Code BibTex

@article{liu2018global, title={Global temporal representation based cnns for infrared action recognition}, author={Liu, Yang and Lu, Zhaoyang and Li, Jing and Yang, Tao and Yao, Chao}, journal={IEEE Signal Processing Letters}, year={2018} }

PhD Dissertation

Cross-domain Human Action Recognition via Transfer Learning

Yang Liu (Supervisor: Prof. Zhaoyang Lu)

Xidian University, 2019

Link BibTex

@phdthesis{liu2019cross, title={Cross-domain Human Action Recognition via Transfer Learning}, author={Liu, Yang}, year={2019}, school={Xidian University} }

Funding

Research Projects

2026.01 – 2029.12 General Program, National Natural Science Foundation of China (NSFC) PI

2025.01 – 2029.12 Key Program, National Natural Science Foundation of China (NSFC) Sub-project Lead

2025.05 – 2026.05 "Open Competition" Program, Pengcheng Laboratory PI

2025.06 – 2026.06 Technical Collaboration Project with Huawei Co-PI

2025.01 – 2027.12 General Program, Guangdong Basic and Applied Basic Research Foundation PI

2023.01 – 2025.12 General Program, Guangdong Basic and Applied Basic Research Foundation PI

2023.04 – 2025.04 Guangzhou Science and Technology Program PI

2021.01 – 2023.12 Young Scientists Fund (C), National Natural Science Foundation of China (NSFC) PI

2021.01 – 2023.12 General Program, Guangdong Basic and Applied Basic Research Foundation PI

2020.08 – 2022.08 General Program, China Postdoctoral Science Foundation PI

Courses

Teaching

Advanced Algebra

Undergraduate core course (required)

Multimodal Large Models: Principles and Applications

Undergraduate elective · Course Lead · Course Resources

Generative Artificial Intelligence

Graduate elective

Community

Academic Services

Editorial Board

Pattern Recognition (CAS Q1 Top) — Associate Editor
Embodied Intelligence and Robotics — Associate Editor
Embodied Intelligence — Associate Editor
Associate Editor-in-Chief, group standard Technical Requirements for Multimodal Perception and Pattern Recognition of Embodied Intelligence

Society Memberships

Senior Member, China Society of Image and Graphics (CSIG); Committee Member, Visualization & Cognitive Computing Technical Committee
Committee Member, Embodied Intelligence Technical Committee, Chinese Association of Automation (CAA)
Committee Member, Multimedia TC & Visual Big Data TC, CSIG
Inaugural Committee Member, Embodied Intelligence TC, Chinese Institute of Command and Control (CICC)
Executive Committee Member, ACM Guangzhou Chapter
Youth Working Committee Member & Deputy Secretary-General of Vision TC, Guangdong Society of Image and Graphics

Reviewer for Journals

IEEE Trans. on Pattern Analysis and Machine Intelligence (TPAMI)
IEEE Trans. on Image Processing (TIP)
IEEE Trans. on Neural Networks and Learning Systems (TNNLS)
IEEE Trans. on Cybernetics
International Journal of Computer Vision (IJCV)
ACM Trans. on Multimedia Computing Comm. and Applications
Pattern Recognition (PR)
Neural Networks
Information Fusion
Advanced Science

PC Member / Reviewer for Conferences

CVPR ICCV ECCV NeurIPS ICML ICLR AAAI IJCAI ACM MM ICASSP UbiComp ISWC

Serving as Program Committee member or Reviewer for top-tier computer vision and machine learning conferences.