Cong Wang (王聪)

Cong Wang (王聪)

Post-Doctoral Researcher, Nanjing University

All Publications

Preprints

  • [P03] IMAGGarment: Fine-Grained Garment Generation for Controllable Fashion Design; Fei Shen, Jian Yu, Cong Wang, Xin Jiang, Xiaoyu Du, Jinhui Tang.
  • [P02] A Debiased Nearest Neighbors Framework for Multi-Label Text Classification; Zifeng Cheng, Zhiwei Jiang, Yafeng Yin, Zhaoling Chen, Cong Wang, Shiping Ge, Qiguo Huang, Qing Gu.
  • [P01] 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.

2026

  • [C19] Where Culture Fades: Revealing the Cultural Gap in Text-to-Image Generation; Chuancheng Shi, Shangze Li, Shiming Guo, Simiao Xie, Wenhua Wu, Jingtong Dou, Chao Wu, Canran Xiao, Cong Wang, Zifeng Cheng, Fei Shen, Tat-Seng Chua; CVPR.
  • [C18] Rethinking BCE Loss for Multi-Label Image Recognition with Fine-Tuning; Ao Zhou, Zhiwei Jiang, Zifeng Cheng, Cong Wang, Yafeng Yin, Shufan Yang, Qing Gu; CVPR.
  • [C17] IMAGGarment+: Efficient Attribute-Wise Diffusion for Garment Generation; Jian Yu, Xiaoyu Du, Cong Wang, Yanpeng Sun, Hao Tang, Qing Guo, Fei Shen; AAAI.
  • [C16] RegionMarker: A Region-Triggered Semantic Watermarking Framework for Embedding-as-a-Service Copyright Protection; Sunfan Yang, Zifeng Cheng, Zhiwei Jiang, Yafeng Yin, Cong Wang, Shiping Ge, Yuchen Fu, Qing Gu; AAAI.

2025

  • [C15] Advanced Sign Language Video Generation with Compressed and Quantized Multi-Condition Tokenization; Cong Wang, Zexuan Deng, Zhiwei Jiang, Yafeng Yin, Fei Shen, Zifeng Cheng, Shiping Ge, Shiwei Gan, Qing Gu; NeurIPS.
  • [C14] Steering When Necessary: Flexible Steering Large Language Models with Backtracking; Zifeng Cheng, Jinwei Gan, Zhiwei Jiang, Cong Wang, Yafeng Yin, Xiang Luo, Yuchen Fu, Qing Gu; NeurIPS.
  • [C13] Contrastive Prompting Enhances Sentence Embeddings in LLMs through Inference-Time Steering; Zifeng Cheng, Zhonghui Wang, Yuchen Fu, Zhiwei Jiang, Yafeng Yin, Cong Wang, Qing Gu; ACL.
  • [C12] Multi-Prompting Decoder Helps Better Language Understanding; Zifeng Cheng, Z. Chen, Zhiwei Jiang, Yafeng Yin, Cong Wang, Shiping Ge, Qing Gu; ACL Findings.
  • [C11] Long-Term TalkingFace Generation via Motion-Prior Conditional Diffusion Model; Fei Shen, Cong Wang, Junyao Gao, Qin Guo, Jisheng Dang, Jinhui Tang, Tat-Seng Chua; ICML.
  • [J03] Fine-Grained Alignment Network for Zero-Shot Cross-Modal Retrieval; Shiping Ge, Zhiwei Jiang, Yafeng Yin, Cong Wang, Zifeng Cheng, Qing Gu; TOMM.
  • [C10] Ensembling Diffusion Models via Adaptive Feature Aggregation; Cong Wang, Kuan Tian, Yonghang Guan, Fei Shen, Zhiwei Jiang, Qing Gu, Jun Zhang; ICLR.
  • [C09] IMAGDressing-v1: Customizable Virtual Dressing; Fei Shen, Xin Jiang, Xin He, Hu Ye, Cong Wang, Xiaoyu Du, Zechao Li, Jinhui Tang; AAAI.
  • [C08] Boosting Consistency in Story Visualization with Rich-Contextual Conditional Diffusion Models; Fei Shen, Hu Ye, Sibo Liu, Jun Zhang, Cong Wang, Xiao Han, Wei Yang; AAAI.

2024

  • [C07] AP-Adapter: Improving Generalization of Automatic Prompts on Unseen Text-to-Image Diffusion Models; Yuchen Fu, Zhiwei Jiang, Yuliang Liu, Cong Wang, Zexuan Deng, Zhaoling Chen, Qing Gu; NeurIPS.
  • [C06] Advancing Pose-Guided Image Synthesis with Progressive Conditional Diffusion Models; Fei Shen, Hu Ye, Jun Zhang, Cong Wang, Xiao Han, Wei Yang; ICLR.

2023

  • [C05] Learning Event-Specific Localization Preferences for Audio-Visual Event Localization; Shiping Ge, Zhiwei Jiang, Yafeng Yin, Cong Wang, Zifeng Cheng, Qing Gu; MM.
  • [C04] Aggregating Multiple Heuristic Signals as Supervision for Unsupervised Automated Essay Scoring; Cong Wang, Zhiwei Jiang, Yafeng Yin, Zifeng Cheng, Shiping Ge, Qing Gu; ACL.
  • [C03] Unsupervised Readability Assessment via Learning from Weak Readability Signals; Yuliang Liu, Zhiwei Jiang, Yafeng Yin, Cong Wang, Shen Chen, Zhaoling Chen, Qing Gu; SIGIR.
  • [C02] Learning Robust Multi-Modal Representation for Multi-Label Emotion Recognition via Adversarial Masking and Perturbation; Shiping Ge, Zhiwei Jiang, Zifeng Cheng, Cong Wang, Yafeng Yin, Qing Gu; WWW.
  • [C01] Controlling Class Layout for Deep Ordinal Classification via Constrained Proxies Learning; Cong Wang, Zhiwei Jiang, Yafeng Yin, Zifeng Cheng, Shiping Ge, Qing Gu; AAAI.

2022

  • [J02] A Consistent Dual-MRC Framework for Emotion-Cause Pair Extraction; Zifeng Cheng, Zhiwei Jiang, Yafeng Yin, Cong Wang, Shiping Ge, Qing Gu; TOIS.
  • [J01] Learning to Classify Open Intent via Soft Labeling and Manifold Mixup; Zifeng Cheng, Zhiwei Jiang, Yafeng Yin, Cong Wang, Qing Gu; TASLP.