Chengyue Gong

Publication Activity (10 Years)

Years Active: 2020-2024
Publications (10 Years): 45

Top Topics

Language Generation

Machine Learning

Question Answering

Neural Architecture

Top Venues

Publications

Shujian Zhang, Lemeng Wu, Chengyue Gong, Xingchao Liu
Language Rectified Flow: Advancing Diffusion Language Generation with Probabilistic Flows. CoRR (2024)
Shujian Zhang, Lemeng Wu, Chengyue Gong, Xingchao Liu
LanguageFlow: Advancing Diffusion Language Generation with Probabilistic Flows. NAACL-HLT (2024)
Chengyue Gong, Xiaocong Du, Bhargav Bhushanam, Lemeng Wu, Xingchao Liu, Dhruv Choudhary, Arun Kejariwal, Qiang Liu
Layer Compression of Deep Networks with Straight Flows. AAAI (2024)
Shujian Zhang, Korawat Tanwisuth, Chengyue Gong, Pengcheng He, Mingyuan Zhou
Switchable Decision: Dynamic Neural Generation Networks. CoRR (2024)
Xingchao Liu, Lemeng Wu, Shujian Zhang, Chengyue Gong, Wei Ping, Qiang Liu
FlowGrad: Controlling the Output of Generative ODEs with Gradients. CVPR (2023)
Lemeng Wu, Dilin Wang, Chengyue Gong, Xingchao Liu, Yunyang Xiong, Rakesh Ranjan, Raghuraman Krishnamoorthi, Vikas Chandra, Qiang Liu
Fast Point Cloud Generation with Straight Flows. CVPR (2023)
Tianlong Chen, Chengyue Gong, Daniel Jesus Diaz, Xuxi Chen, Jordan Tyler Wells, Qiang Liu, Zhangyang Wang, Andrew D. Ellington, Alex Dimakis, Adam R. Klivans
HotProtein: A Novel Framework for Protein Thermostability Prediction and Editing. ICLR (2023)
Shujian Zhang, Chengyue Gong, Lemeng Wu, Xingchao Liu, Mingyuan Zhou
AutoML-GPT: Automatic Machine Learning with GPT. CoRR (2023)
Xingchao Liu, Chengyue Gong, Qiang Liu
Flow Straight and Fast: Learning to Generate and Transfer Data with Rectified Flow. ICLR (2023)
Lemeng Wu, Dilin Wang, Chengyue Gong, Xingchao Liu, Yunyang Xiong, Rakesh Ranjan, Raghuraman Krishnamoorthi, Vikas Chandra, Qiang Liu
Fast Point Cloud Generation with Straight Flows. CoRR (2022)
Lemeng Wu, Chengyue Gong, Xingchao Liu, Mao Ye, Qiang Liu
Diffusion-based Molecule Generation with Informative Prior Bridges. CoRR (2022)
Xingchao Liu, Chengyue Gong, Qiang Liu
Flow Straight and Fast: Learning to Generate and Transfer Data with Rectified Flow. CoRR (2022)
Shujian Zhang, Chengyue Gong, Xingchao Liu, Pengcheng He, Weizhu Chen, Mingyuan Zhou
ALLSH: Active Learning Guided by Local Sensitivity and Hardness. NAACL-HLT (Findings) (2022)
Chengyue Gong, Lemeng Wu, Qiang Liu
How to Fill the Optimum Set? Population Gradient Descent with Harmless Diversity. CoRR (2022)
Chengyue Gong, Dilin Wang, Meng Li, Xinlei Chen, Zhicheng Yan, Yuandong Tian, Qiang Liu, Vikas Chandra
NASViT: Neural Architecture Search for Efficient Vision Transformers with Gradient Conflict aware Supernet Training. ICLR (2022)
Lemeng Wu, Chengyue Gong, Xingchao Liu, Mao Ye, Qiang Liu
Diffusion-based Molecule Generation with Informative Prior Bridges. NeurIPS (2022)
Shujian Zhang, Chengyue Gong, Xingchao Liu, Pengcheng He, Weizhu Chen, Mingyuan Zhou
ALLSH: Active Learning Guided by Local Sensitivity and Hardness. CoRR (2022)
Chengyue Gong, Xiaocong Du, Dhruv Choudhary, Bhargav Bhushanam, Qiang Liu, Arun Kejariwal
Harmless Transfer Learning for Item Embeddings. NAACL-HLT (Findings) (2022)
Shujian Zhang, Chengyue Gong, Xingchao Liu
Passage-Mask: A Learnable Regularization Strategy for Retriever-Reader Models. EMNLP (2022)
Shujian Zhang, Chengyue Gong, Xingchao Liu
Passage-Mask: A Learnable Regularization Strategy for Retriever-Reader Models. CoRR (2022)
Chengyue Gong, Lemeng Wu, Qiang Liu
How to Fill the Optimum Set? Population Gradient Descent with Harmless Diversity. ICML (2022)
Dilin Wang, Meng Li, Chengyue Gong, Vikas Chandra
AttentiveNAS: Improving Neural Architecture Search via Attentive Sampling. CVPR (2021)
Shujian Zhang, Chengyue Gong, Eunsol Choi
Knowing More About Questions Can Help: Improving Calibration in Question Answering. ACL/IJCNLP (Findings) (2021)
Xingchao Liu, Chengyue Gong, Lemeng Wu, Shujian Zhang, Hao Su, Qiang Liu
FuseDream: Training-Free Text-to-Image Generation with Improved CLIP+GAN Space Optimization. CoRR (2021)
Chengyue Gong, Dilin Wang, Meng Li, Vikas Chandra, Qiang Liu
KeepAugment: A Simple Information-Preserving Data Augmentation Approach. CVPR (2021)
Dilin Wang, Chengyue Gong, Meng Li, Qiang Liu, Vikas Chandra
AlphaNet: Improved Training of Supernets with Alpha-Divergence. ICML (2021)
Shujian Zhang, Chengyue Gong, Eunsol Choi
Learning with Different Amounts of Annotation: From Zero to Many Labels. CoRR (2021)
Chengyue Gong, Dilin Wang, Meng Li, Vikas Chandra, Qiang Liu
Improve Vision Transformers Training by Suppressing Over-smoothing. CoRR (2021)
Shujian Zhang, Chengyue Gong, Eunsol Choi
Knowing More About Questions Can Help: Improving Calibration in Question Answering. CoRR (2021)
Shujian Zhang, Chengyue Gong, Eunsol Choi
Capturing Label Distribution: A Case Study in NLI. CoRR (2021)
Chengyue Gong, Tongzheng Ren, Mao Ye, Qiang Liu
MaxUp: Lightweight Adversarial Training With Data Augmentation Improves Neural Network Training. CVPR (2021)
Chengyue Gong, Xingchao Liu, Qiang Liu
Automatic and Harmless Regularization with Constrained and Lexicographic Optimization: A Dynamic Barrier Approach. NeurIPS (2021)
Dilin Wang, Chengyue Gong, Meng Li, Qiang Liu, Vikas Chandra
AlphaNet: Improved Training of Supernet with Alpha-Divergence. CoRR (2021)
Chengyue Gong, Mao Ye, Qiang Liu
argmax centroid. NeurIPS (2021)
Chengyue Gong, Dilin Wang, Qiang Liu
AlphaMatch: Improving Consistency for Semi-Supervised Learning With Alpha-Divergence. CVPR (2021)
Shujian Zhang, Chengyue Gong, Eunsol Choi
Learning with Different Amounts of Annotation: From Zero to Many Labels. EMNLP (1) (2021)
Mao Ye, Chengyue Gong, Qiang Liu
SAFER: A Structure-free Approach for Certified Robustness to Adversarial Word Substitutions. ACL (2020)
Chengyue Gong, Dilin Wang, Qiang Liu
AlphaMatch: Improving Consistency for Semi-supervised Learning with Alpha-divergence. CoRR (2020)
Dinghuai Zhang, Mao Ye, Chengyue Gong, Zhanxing Zhu, Qiang Liu
Black-Box Certification with Randomized Smoothing: A Functional Optimization Based Framework. CoRR (2020)
Mao Ye, Chengyue Gong, Qiang Liu
SAFER: A Structure-free Approach for Certified Robustness to Adversarial Word Substitutions. CoRR (2020)
Mao Ye, Chengyue Gong, Lizhen Nie, Denny Zhou, Adam Klivans, Qiang Liu
Good Subnetworks Provably Exist: Pruning via Greedy Forward Selection. CoRR (2020)
Dinghuai Zhang, Mao Ye, Chengyue Gong, Zhanxing Zhu, Qiang Liu
Black-Box Certification with Randomized Smoothing: A Functional Optimization Based Framework. NeurIPS (2020)
Mao Ye, Chengyue Gong, Lizhen Nie, Denny Zhou, Adam Klivans, Qiang Liu
Good Subnetworks Provably Exist: Pruning via Greedy Forward Selection. ICML (2020)
Dilin Wang, Meng Li, Chengyue Gong, Vikas Chandra
AttentiveNAS: Improving Neural Architecture Search via Attentive Sampling. CoRR (2020)
Chengyue Gong, Dilin Wang, Meng Li, Vikas Chandra, Qiang Liu
KeepAugment: A Simple Information-Preserving Data Augmentation Approach. CoRR (2020)