I am pursuing a Ph.D. degree at Nanjing University under the supervision of Professor Qing Gu (顾庆) and Assistant Professor Zhiwei Jiang (蒋智威). Additionally, I am currently a visiting Ph.D. student at Singapore Management University (SMU), where I am guided by Associate Professor Qianru Sun and Assistant Professor Jiannan Li, with funding from the China Scholarship Council (CSC).
I have a broad interest in computer vision and deep learning, with a current focus on controllable and consistent generation in AIGC, including audio-driven video generation and text-to-image generation.
From May 2023 to May 2024, I was a research intern at Tencent AI Lab, where I worked under the mentorship of Kuan Tian (田宽) and Jun Zhang (张军), concentrating on research in AIGC.
Research Experience
- 2024.10 – Present, Visiting Ph.D. Student,
School of Computing and Information Systems (SCIS), Singapore Management University (SMU), Singapore.
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- 2021.09 – Present, Ph.D. Candidate,
School of Computer Science, Nanjing University (NJU), Nanjing, China.
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- 2023.05 – 2024.05, Research Intern,
Tencent AI Lab, Technology & Engineering Group (TEG), Tencent, Shenzhen, China.
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Honors and Awards
- Outstanding Graduate Student, Nanjing University, 2023.
- Huawei Scholarship, Nanjing University, 2023.
- Yingcai Scholarship, Nanjing University, 2021.
Selected Publications
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V-Express: Conditional Dropout for Progressive Training of Portrait Video Generation;
Cong Wang*,
Kuan Tian*,
Jun Zhang†,
Yonghang Guan,
Feng Luo,
Fei Shen,
Zhiwei Jiang†,
Qing Gu,
Xiao Han,
Wei Yang;
arXiv:2406.02511.
[code]
[project page]
[arXiv]
[models]
TL;DR: V-Express aims to generate a talking head video under the control of a reference image, an audio, and a sequence of V-Kps images.
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Ensembling Diffusion Models via Adaptive Feature Aggregation;
Cong Wang*,
Kuan Tian*,
Yonghang Guan,
Fei Shen,
Zhiwei Jiang†,
Qing Gu,
Jun Zhang†;
International Conference on Learning Representations (ICLR), 2025.
[code]
[arXiv]
TL;DR: We propose Adaptive Feature Aggregation (AFA) to ensemble multiple diffusion models dynamically based on different states like prompts, noises, and spatial locations.
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Aggregating Multiple Heuristic Signals as Supervision for Unsupervised Automated Essay Scoring;
Cong Wang,
Zhiwei Jiang†,
Yafeng Yin,
Zifeng Cheng,
Shiping Ge,
Qing Gu;
Annual Meeting of the Association for Computational Linguistics (ACL), 2023.
[paper]
[code]
[poster]
[slides]
[video]
TL;DR: We propose ULRA for unsupervised automated essay scoring, which utilizes multiple heuristic quality signals to train a neural network using Deep Pairwise Rank Aggregation loss.
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Controlling Class Layout for Deep Ordinal Classification via Constrained Proxies Learning;
Cong Wang,
Zhiwei Jiang†,
Yafeng Yin,
Zifeng Cheng,
Shiping Ge,
Qing Gu;
AAAI Conference on Artificial Intelligence (AAAI), 2023.
[paper]
[code]
[poster]
[slides]
[arXiv]
TL;DR: We propose Constrained Proxies Learning for deep ordinal classification, which learns proxies for ordinal classes and adjusts their layout in feature space to capture ordinal relationships.
All Publications
Preprints
- Long-Term TalkingFace Generation via Motion-Prior Conditional Diffusion Model; F. Shen, C. Wang, J. Gao, Q. Guo, J. Dang, J. Tang†, T.-S. Chua.
- A Debiased Nearest Neighbors Framework for Multi-Label Text Classification; Z. Cheng, Z. Jiang†, Y. Yin, Z. Chen, C. Wang, S. Ge, Q. Huang, Q. Gu.
- V-Express: Conditional Dropout for Progressive Training of Portrait Video Generation; C. Wang*, K. Tian*, J. Zhang†, Y. Guan, F. Luo, F. Shen, Z. Jiang†, Q. Gu, X. Han, W. Yang.
2025
- Ensembling Diffusion Models via Adaptive Feature Aggregation; C. Wang*, K. Tian*, Y. Guan, F. Shen, Z. Jiang†, Q. Gu, J. Zhang†; ICLR.
- IMAGDressing-v1: Customizable Virtual Dressing; F. Shen, X. Jiang, X. He, H. Ye, C. Wang, X. Du, Z. Li, J. Tang†; AAAI.
- Boosting Consistency in Story Visualization with Rich-Contextual Conditional Diffusion Models; F. Shen, H. Ye, S. Liu, J. Zhang†, C. Wang, X. Han, W. Yang; AAAI.
2024
- AP-Adapter: Improving Generalization of Automatic Prompts on Unseen Text-to-Image Diffusion Models; Y. Fu, Z. Jiang†, Y. Liu, C. Wang, Z. Deng, Z. Chen, Q. Gu; NeurIPS.
- Advancing Pose-Guided Image Synthesis with Progressive Conditional Diffusion Models; F. Shen*, H. Ye*, J. Zhang†, C. Wang, X. Han, W. Yang; ICLR.
2023
- Learning Event-Specific Localization Preferences for Audio-Visual Event Localization; S. Ge, Z. Jiang†, Y. Yin, C. Wang, Z. Cheng, Q. Gu; MM.
- Aggregating Multiple Heuristic Signals as Supervision for Unsupervised Automated Essay Scoring; C. Wang, Z. Jiang†, Y. Yin, Z. Cheng, S. Ge, Q. Gu; ACL.
- Unsupervised Readability Assessment via Learning from Weak Readability Signals; Y. Liu, Z. Jiang†, Y. Yin, C. Wang, S. Chen, Z. Chen, Q. Gu; SIGIR.
- Learning Robust Multi-Modal Representation for Multi-Label Emotion Recognition via Adversarial Masking and Perturbation; S. Ge, Z. Jiang†, Z. Cheng, C. Wang, Y. Yin, Q. Gu; WWW.
- Controlling Class Layout for Deep Ordinal Classification via Constrained Proxies Learning; C. Wang, Z. Jiang†, Y. Yin, Z. Cheng, S. Ge, Q. Gu; AAAI.
2022
- A Consistent Dual-MRC Framework for Emotion-Cause Pair Extraction; Z. Cheng, Z. Jiang†, Y. Yin, C. Wang, S. Ge, Q. Gu; TOIS.
- Learning to Classify Open Intent via Soft Labeling and Manifold Mixup; Z. Cheng, Z. Jiang†, Y. Yin, C. Wang, Q. Gu; TASLP.
* denotes equal contribution. † denotes the corresponding author.
Academic Services
- Journal Reviewer: TNNLS, TOMM;
- Conference Reviewer: ICML (25), IJCAI (25), ICLR (25), ICIC (24), MM (24, 23), EMNLP (23).