Chengyue Gong - RankMe

70 papers A* 27A 2Journal 34Unranked 7

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Lang2Str: Two-Stage Crystal Structure Generation with LLMs and Continuous Flow Models. CoRR Cong Liu, Chengyue Gong, Zhenyu Liu, Jiale Zhao, Yuxuan Zhang
2025	A*	`conf`	Distilling Structural Representations into Protein Sequence Models. ICLR Jeffrey Ouyang-Zhang, Chengyue Gong, Yue Zhao, Philipp Krähenbühl, Adam R. Klivans, Daniel Jesus Diaz
2025	J	`jnl`	High-Order Matching for One-Step Shortcut Diffusion Models. CoRR Bo Chen, Chengyue Gong, Xiaoyu Li, Yingyu Liang, Zhizhou Sha, Zhenmei Shi, Zhao Song, Mingda Wan
2025	A	`conf`	NRFlow: Towards Noise-Robust Generative Modeling via High-Order Mechanism. UAI Bo Chen, Chengyue Gong, Xiaoyu Li, Yingyu Liang, Zhizhou Sha, Zhenmei Shi, Zhao Song, Mingda Wan, Xugang Ye
2025	J	`jnl`	On Computational Limits of FlowAR Models: Expressivity and Efficiency. CoRR Chengyue Gong, Yekun Ke, Xiaoyu Li, Yingyu Liang, Zhizhou Sha, Zhenmei Shi, Zhao Song
2025	J	`jnl`	Protenix-Mini+: efficient structure prediction model with scalable pairformer. CoRR Bo Qiang, Chengyue Gong, Xinshi Chen, Yuxuan Zhang, Wenzhi Xiao
2025	J	`jnl`	Protenix-Mini: Efficient Structure Predictor via Compact Architecture, Few-Step Diffusion and Switchable pLM. CoRR Chengyue Gong, Xinshi Chen, Yuxuan Zhang, Yuxuan Song, Hao Zhou, Wenzhi Xiao
2025	J	`jnl`	RichSpace: Enriching Text-to-Video Prompt Space via Text Embedding Interpolation. CoRR Yuefan Cao, Chengyue Gong, Xiaoyu Li, Yingyu Liang, Zhizhou Sha, Zhenmei Shi, Zhao Song
2025	J	`jnl`	Theoretical Guarantees for High Order Trajectory Refinement in Generative Flows. CoRR Chengyue Gong, Xiaoyu Li, Yingyu Liang, Jiangxuan Long, Zhenmei Shi, Zhao Song, Yu Tian
2025	J	`jnl`	XDXD: End-to-end crystal structure determination with low resolution X-ray diffraction. CoRR Jiale Zhao, Cong Liu, Yuxuan Zhang, Chengyue Gong, Zhenyi Zhang, Shifeng Jin, Zhenyu Liu
2024	A*	`conf`	Evolution-Inspired Loss Functions for Protein Representation Learning. ICML Chengyue Gong, Adam R. Klivans, James Loy, Tianlong Chen, Qiang Liu, Daniel Jesus Diaz
2024	J	`jnl`	Language Rectified Flow: Advancing Diffusion Language Generation with Probabilistic Flows. CoRR Shujian Zhang, Lemeng Wu, Chengyue Gong, Xingchao Liu
2024	—	`conf`	LanguageFlow: Advancing Diffusion Language Generation with Probabilistic Flows. NAACL-HLT Shujian Zhang, Lemeng Wu, Chengyue Gong, Xingchao Liu
2024	A*	`conf`	Layer Compression of Deep Networks with Straight Flows. AAAI Chengyue Gong, Xiaocong Du, Bhargav Bhushanam, Lemeng Wu, Xingchao Liu, Dhruv Choudhary, Arun Kejariwal, Qiang Liu
2024	J	`jnl`	Rectified Flow For Structure Based Drug Design. CoRR Daiheng Zhang, Chengyue Gong, Qiang Liu
2024	A*	`conf`	Switchable Decision: Dynamic Neural Generation Networks. ICML Shujian Zhang, Korawat Tanwisuth, Chengyue Gong, Pengcheng He, Mingyuan Zhou
2024	J	`jnl`	Switchable Decision: Dynamic Neural Generation Networks. CoRR Shujian Zhang, Korawat Tanwisuth, Chengyue Gong, Pengcheng He, Mingyuan Zhou
2023	J	`jnl`	AutoML-GPT: Automatic Machine Learning with GPT. CoRR Shujian Zhang, Chengyue Gong, Lemeng Wu, Xingchao Liu, Mingyuan Zhou
2023	A*	`conf`	Fast Point Cloud Generation with Straight Flows. CVPR Lemeng Wu, Dilin Wang, Chengyue Gong, Xingchao Liu, Yunyang Xiong, Rakesh Ranjan, Raghuraman Krishnamoorthi, Vikas Chandra, Qiang Liu
2023	A*	`conf`	Flow Straight and Fast: Learning to Generate and Transfer Data with Rectified Flow. ICLR Xingchao Liu, Chengyue Gong, Qiang Liu
2023	A*	`conf`	FlowGrad: Controlling the Output of Generative ODEs with Gradients. CVPR Xingchao Liu, Lemeng Wu, Shujian Zhang, Chengyue Gong, Wei Ping, Qiang Liu
2023	A*	`conf`	HotProtein: A Novel Framework for Protein Thermostability Prediction and Editing. ICLR Tianlong Chen, Chengyue Gong, Daniel Jesus Diaz, Xuxi Chen, Jordan Tyler Wells, Qiang Liu, Zhangyang Wang, Andrew D. Ellington, Alex Dimakis, Adam R. Klivans
2022	—	`conf`	ALLSH: Active Learning Guided by Local Sensitivity and Hardness. NAACL-HLT (Findings) Shujian Zhang, Chengyue Gong, Xingchao Liu, Pengcheng He, Weizhu Chen, Mingyuan Zhou
2022	J	`jnl`	ALLSH: Active Learning Guided by Local Sensitivity and Hardness. CoRR Shujian Zhang, Chengyue Gong, Xingchao Liu, Pengcheng He, Weizhu Chen, Mingyuan Zhou
2022	A*	`conf`	Diffusion-based Molecule Generation with Informative Prior Bridges. NeurIPS Lemeng Wu, Chengyue Gong, Xingchao Liu, Mao Ye, Qiang Liu
2022	J	`jnl`	Diffusion-based Molecule Generation with Informative Prior Bridges. CoRR Lemeng Wu, Chengyue Gong, Xingchao Liu, Mao Ye, Qiang Liu
2022	J	`jnl`	Fast Point Cloud Generation with Straight Flows. CoRR Lemeng Wu, Dilin Wang, Chengyue Gong, Xingchao Liu, Yunyang Xiong, Rakesh Ranjan, Raghuraman Krishnamoorthi, Vikas Chandra, Qiang Liu
2022	J	`jnl`	Flow Straight and Fast: Learning to Generate and Transfer Data with Rectified Flow. CoRR Xingchao Liu, Chengyue Gong, Qiang Liu
2022	—	`conf`	Harmless Transfer Learning for Item Embeddings. NAACL-HLT (Findings) Chengyue Gong, Xiaocong Du, Dhruv Choudhary, Bhargav Bhushanam, Qiang Liu, Arun Kejariwal
2022	A*	`conf`	How to Fill the Optimum Set? Population Gradient Descent with Harmless Diversity. ICML Chengyue Gong, Lemeng Wu, Qiang Liu
2022	J	`jnl`	How to Fill the Optimum Set? Population Gradient Descent with Harmless Diversity. CoRR Chengyue Gong, Lemeng Wu, Qiang Liu
2022	A*	`conf`	NASViT: Neural Architecture Search for Efficient Vision Transformers with Gradient Conflict aware Supernet Training. ICLR Chengyue Gong, Dilin Wang, Meng Li, Xinlei Chen, Zhicheng Yan, Yuandong Tian, Qiang Liu, Vikas Chandra
2022	A*	`conf`	Passage-Mask: A Learnable Regularization Strategy for Retriever-Reader Models. EMNLP Shujian Zhang, Chengyue Gong, Xingchao Liu
2022	J	`jnl`	Passage-Mask: A Learnable Regularization Strategy for Retriever-Reader Models. CoRR Shujian Zhang, Chengyue Gong, Xingchao Liu
2021	A*	`conf`	AlphaMatch: Improving Consistency for Semi-Supervised Learning With Alpha-Divergence. CVPR Chengyue Gong, Dilin Wang, Qiang Liu
2021	J	`jnl`	AlphaNet: Improved Training of Supernet with Alpha-Divergence. CoRR Dilin Wang, Chengyue Gong, Meng Li, Qiang Liu, Vikas Chandra
2021	A*	`conf`	AlphaNet: Improved Training of Supernets with Alpha-Divergence. ICML Dilin Wang, Chengyue Gong, Meng Li, Qiang Liu, Vikas Chandra
2021	A*	`conf`	AttentiveNAS: Improving Neural Architecture Search via Attentive Sampling. CVPR Dilin Wang, Meng Li, Chengyue Gong, Vikas Chandra
2021	A*	`conf`	Automatic and Harmless Regularization with Constrained and Lexicographic Optimization: A Dynamic Barrier Approach. NeurIPS Chengyue Gong, Xingchao Liu, Qiang Liu
2021	J	`jnl`	Capturing Label Distribution: A Case Study in NLI. CoRR Shujian Zhang, Chengyue Gong, Eunsol Choi
2021	J	`jnl`	FuseDream: Training-Free Text-to-Image Generation with Improved CLIP+GAN Space Optimization. CoRR Xingchao Liu, Chengyue Gong, Lemeng Wu, Shujian Zhang, Hao Su, Qiang Liu
2021	J	`jnl`	Improve Vision Transformers Training by Suppressing Over-smoothing. CoRR Chengyue Gong, Dilin Wang, Meng Li, Vikas Chandra, Qiang Liu
2021	A*	`conf`	KeepAugment: A Simple Information-Preserving Data Augmentation Approach. CVPR Chengyue Gong, Dilin Wang, Meng Li, Vikas Chandra, Qiang Liu
2021	—	`conf`	Knowing More About Questions Can Help: Improving Calibration in Question Answering. ACL/IJCNLP (Findings) Shujian Zhang, Chengyue Gong, Eunsol Choi
2021	J	`jnl`	Knowing More About Questions Can Help: Improving Calibration in Question Answering. CoRR Shujian Zhang, Chengyue Gong, Eunsol Choi
2021	—	`conf`	Learning with Different Amounts of Annotation: From Zero to Many Labels. EMNLP (1) Shujian Zhang, Chengyue Gong, Eunsol Choi
2021	J	`jnl`	Learning with Different Amounts of Annotation: From Zero to Many Labels. CoRR Shujian Zhang, Chengyue Gong, Eunsol Choi
2021	A*	`conf`	MaxUp: Lightweight Adversarial Training With Data Augmentation Improves Neural Network Training. CVPR Chengyue Gong, Tongzheng Ren, Mao Ye, Qiang Liu
2021	A*	`conf`	argmax centroid. NeurIPS Chengyue Gong, Mao Ye, Qiang Liu
2020	J	`jnl`	AlphaMatch: Improving Consistency for Semi-supervised Learning with Alpha-divergence. CoRR Chengyue Gong, Dilin Wang, Qiang Liu
2020	J	`jnl`	AttentiveNAS: Improving Neural Architecture Search via Attentive Sampling. CoRR Dilin Wang, Meng Li, Chengyue Gong, Vikas Chandra
2020	A*	`conf`	Black-Box Certification with Randomized Smoothing: A Functional Optimization Based Framework. NeurIPS Dinghuai Zhang, Mao Ye, Chengyue Gong, Zhanxing Zhu, Qiang Liu
2020	J	`jnl`	Black-Box Certification with Randomized Smoothing: A Functional Optimization Based Framework. CoRR Dinghuai Zhang, Mao Ye, Chengyue Gong, Zhanxing Zhu, Qiang Liu
2020	A*	`conf`	Good Subnetworks Provably Exist: Pruning via Greedy Forward Selection. ICML Mao Ye, Chengyue Gong, Lizhen Nie, Denny Zhou, Adam R. Klivans, Qiang Liu
2020	J	`jnl`	Good Subnetworks Provably Exist: Pruning via Greedy Forward Selection. CoRR Mao Ye, Chengyue Gong, Lizhen Nie, Denny Zhou, Adam R. Klivans, Qiang Liu
2020	J	`jnl`	KeepAugment: A Simple Information-Preserving Data Augmentation Approach. CoRR Chengyue Gong, Dilin Wang, Meng Li, Vikas Chandra, Qiang Liu
2020	J	`jnl`	MaxUp: A Simple Way to Improve Generalization of Neural Network Training. CoRR Chengyue Gong, Tongzheng Ren, Mao Ye, Qiang Liu
2020	A*	`conf`	SAFER: A Structure-free Approach for Certified Robustness to Adversarial Word Substitutions. ACL Mao Ye, Chengyue Gong, Qiang Liu
2020	J	`jnl`	SAFER: A Structure-free Approach for Certified Robustness to Adversarial Word Substitutions. CoRR Mao Ye, Chengyue Gong, Qiang Liu
2019	A*	`conf`	Improving Neural Language Modeling via Adversarial Training. ICML Dilin Wang, Chengyue Gong, Qiang Liu
2019	J	`jnl`	Improving Neural Language Modeling via Adversarial Training. CoRR Dilin Wang, Chengyue Gong, Qiang Liu
2019	A	`conf`	Mixed Precision Neural Architecture Search for Energy Efficient Deep Learning. ICCAD Chengyue Gong, Zixuan Jiang, Dilin Wang, Yibo Lin, Qiang Liu, David Z. Pan
2019	A*	`conf`	Quantile Stein Variational Gradient Descent for Batch Bayesian Optimization. ICML Chengyue Gong, Jian Peng, Qiang Liu
2019	A*	`conf`	Sentence-Wise Smooth Regularization for Sequence to Sequence Learning. AAAI Chengyue Gong, Xu Tan, Di He, Tao Qin
2018	A*	`conf`	FRAGE: Frequency-Agnostic Word Representation. NeurIPS Chengyue Gong, Di He, Xu Tan, Tao Qin, Liwei Wang, Tie-Yan Liu
2018	J	`jnl`	FRAGE: Frequency-Agnostic Word Representation. CoRR Chengyue Gong, Di He, Xu Tan, Tao Qin, Liwei Wang, Tie-Yan Liu
2018	A*	`conf`	Neural User Response Generator: Fake News Detection with Collective User Intelligence. IJCAI Feng Qian, Chengyue Gong, Karishma Sharma, Yan Liu
2018	J	`jnl`	Sentence-wise Smooth Regularization for Sequence to Sequence Learning. CoRR Chengyue Gong, Xu Tan, Di He, Tao Qin
2017	—	`conf`	Deep Dynamic Poisson Factorization Model. NIPS Chengyue Gong, Win-Bin Huang
2017	—	`conf`	Topic medical concept embedding: Multi-sense representation learning for medical concept. BIBM Feng Qian, Chengyue Gong, Luchen Liu, Lei Sha, Ming Zhang