Chengyue Gong
35 papers · 2017–2025 · 11 conferences · across top CS/AI conferences
Achievements
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🐣 Hot Topic Early Bird 🌍 Conference Polyglot (11) 🧭 Keyword Pioneer 🌉 Interdisciplinary Bridge 🏃 Academic Marathon (8)
🌉
Interdisciplinary Bridge
🧭
Keyword Pioneer
🐣
Hot Topic Early Bird
🤝
Dynamic Duo
(21)
👑
Triple Crown
🏆
Grand Slam
🧬
Topic Evolution
🏆
Keyword Champion
(2)
🚀
Conference Pioneer
⚡
Prolific Year
(10)
🗃️
Keyword Collector
(127)
❓
The Questioner
💎
Century Club
(35)
🔥
Unstoppable
(9)
Conferences
ICML (7)
CVPR (6)
NIPS (6)
ICLR (4)
NAACL (3)
AAAI (2)
ACL (2)
EMNLP (2)
IJCAI (1)
IJCNLP (1)
UAI (1)
Top co-authors
Keywords
image classification
(6)
data augmentation
(4)
diffusion model
(4)
adversarial training
(3)
generative model
(3)
neural network
(3)
knowledge distillation
(3)
model compression
(3)
semi-supervised learning
(2)
neural network optimization
(2)
randomized smoothing
(2)
variational inference
(2)
few-shot learning
(2)
language modeling
(2)
network pruning
(2)
certified robustness
(2)
text classification
(2)
natural language processing
(2)
point cloud generation
(2)
neural architecture search
(2)
Papers
Distilling Structural Representations into Protein Sequence Models
ICLR 2025
NRFlow: Towards Noise-Robust Generative Modeling via High-Order Mechanism
UAI 2025
Layer Compression of Deep Networks with Straight Flows
AAAI 2024
LanguageFlow: Advancing Diffusion Language Generation with Probabilistic Flows
NAACL 2024
Switchable Decision: Dynamic Neural Generation Networks
ICML 2024
Evolution-Inspired Loss Functions for Protein Representation Learning
ICML 2024
HotProtein: A Novel Framework for Protein Thermostability Prediction and Editing
ICLR 2023
Fast Point Cloud Generation With Straight Flows
CVPR 2023
Flow Straight and Fast: Learning to Generate and Transfer Data with Rectified Flow
ICLR 2023
FlowGrad: Controlling the Output of Generative ODEs With Gradients
CVPR 2023
Passage-Mask: A Learnable Regularization Strategy for Retriever-Reader Models
EMNLP 2022
Diffusion-based Molecule Generation with Informative Prior Bridges
NIPS 2022
NASViT: Neural Architecture Search for Efficient Vision Transformers with Gradient Conflict aware Supernet Training
ICLR 2022
How to Fill the Optimum Set? Population Gradient Descent with Harmless Diversity
ICML 2022
Harmless Transfer Learning for Item Embeddings
NAACL 2022
ALLSH: Active Learning Guided by Local Sensitivity and Hardness
NAACL 2022
KeepAugment: A Simple Information-Preserving Data Augmentation Approach
CVPR 2021
Knowing More About Questions Can Help: Improving Calibration in Question Answering
ACL 2021
AlphaNet: Improved Training of Supernets with Alpha-Divergence
ICML 2021
Automatic and Harmless Regularization with Constrained and Lexicographic Optimization: A Dynamic Barrier Approach
NIPS 2021
argmax centroid
NIPS 2021
Knowing More About Questions Can Help: Improving Calibration in Question Answering
IJCNLP 2021
AttentiveNAS: Improving Neural Architecture Search via Attentive Sampling
CVPR 2021
MaxUp: Lightweight Adversarial Training With Data Augmentation Improves Neural Network Training
CVPR 2021
AlphaMatch: Improving Consistency for Semi-Supervised Learning With Alpha-Divergence
CVPR 2021
Learning with Different Amounts of Annotation: From Zero to Many Labels
EMNLP 2021
Good Subnetworks Provably Exist: Pruning via Greedy Forward Selection
ICML 2020
Black-Box Certification with Randomized Smoothing: A Functional Optimization Based Framework
NIPS 2020
SAFER: A Structure-free Approach for Certified Robustness to Adversarial Word Substitutions
ACL 2020
Improving Neural Language Modeling via Adversarial Training
ICML 2019
Sentence-Wise Smooth Regularization for Sequence to Sequence Learning
AAAI 2019
Quantile Stein Variational Gradient Descent for Batch Bayesian Optimization
ICML 2019
Neural User Response Generator: Fake News Detection with Collective User Intelligence
IJCAI 2018
FRAGE: Frequency-Agnostic Word Representation
NIPS 2018
Deep Dynamic Poisson Factorization Model
NIPS 2017