Cong Wang (王聪)

Cong Wang (王聪)

Ph.D. Student, Nanjing University

All Publications

Preprints

  • [P03] IMAGGarment-1: Fine-Grained Garment Generation for Controllable Fashion Design; F. Shen, J. Yu, C. Wang, X. Jiang, X. Du, J. Tang.
  • [P02] 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.
  • [P01] 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.

2026

  • [C17] IMAGGarment+: Efficient Attribute-Wise Diffusion for Garment Generation; J. Yu, X. Du, C. Wang, Y. Sun, H. Tang, Q. Guo, F. Shen; AAAI.
  • [C16] RegionMarker: A Region-Triggered Semantic Watermarking Framework for Embedding-as-a-Service Copyright Protection; S. Yang, Z. Cheng, Z. Jiang, Y. Yin, C. Wang, S. Ge, Y. Fu, Q. Gu; AAAI.

2025

  • [C15] Advanced Sign Language Video Generation with Compressed and Quantized Multi-Condition Tokenization; C. Wang, Z. Deng, Z. Jiang, Y. Yin, F. Shen, Z. Cheng, S. Ge, S. Gan, Q. Gu; NeurIPS.
  • [C14] Steering When Necessary: Flexible Steering Large Language Models with Backtracking; Z. Cheng, J. Gan, Z. Jiang, C. Wang, Y. Yin, X. Luo, Y. Fu, Q. Gu; NeurIPS.
  • [C13] Contrastive Prompting Enhances Sentence Embeddings in LLMs through Inference-Time Steering; Z. Cheng, Z. Wang, Y. Fu, Z. Jiang, Y. Yin, C. Wang, Q. Gu; ACL.
  • [C12] Multi-Prompting Decoder Helps Better Language Understanding; Z. Cheng, Z. Chen, Z. Jiang, Y. Yin, C. Wang, S. Ge, Q. Gu; ACL Findings.
  • [C11] 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; ICML.
  • [J03] Fine-Grained Alignment Network for Zero-Shot Cross-Modal Retrieval; S. Ge, Z. Jiang, Y. Yin, C. Wang, Z. Cheng, Q. Gu; TOMM.
  • [C10] Ensembling Diffusion Models via Adaptive Feature Aggregation; C. Wang, K. Tian, Y. Guan, F. Shen, Z. Jiang, Q. Gu, J. Zhang; ICLR.
  • [C09] IMAGDressing-v1: Customizable Virtual Dressing; F. Shen, X. Jiang, X. He, H. Ye, C. Wang, X. Du, Z. Li, J. Tang; AAAI.
  • [C08] 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

  • [C07] 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.
  • [C06] Advancing Pose-Guided Image Synthesis with Progressive Conditional Diffusion Models; F. Shen, H. Ye, J. Zhang, C. Wang, X. Han, W. Yang; ICLR.

2023

  • [C05] Learning Event-Specific Localization Preferences for Audio-Visual Event Localization; S. Ge, Z. Jiang, Y. Yin, C. Wang, Z. Cheng, Q. Gu; MM.
  • [C04] Aggregating Multiple Heuristic Signals as Supervision for Unsupervised Automated Essay Scoring; C. Wang, Z. Jiang, Y. Yin, Z. Cheng, S. Ge, Q. Gu; ACL.
  • [C03] Unsupervised Readability Assessment via Learning from Weak Readability Signals; Y. Liu, Z. Jiang, Y. Yin, C. Wang, S. Chen, Z. Chen, Q. Gu; SIGIR.
  • [C02] 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.
  • [C01] 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

  • [J02] A Consistent Dual-MRC Framework for Emotion-Cause Pair Extraction; Z. Cheng, Z. Jiang, Y. Yin, C. Wang, S. Ge, Q. Gu; TOIS.
  • [J01] Learning to Classify Open Intent via Soft Labeling and Manifold Mixup; Z. Cheng, Z. Jiang, Y. Yin, C. Wang, Q. Gu; TASLP.