← Authors

Yu Cheng

171 papers · 2013–2026 · 18 conferences · across top CS/AI conferences

Achievements

🌍 Conference Polyglot (18) 🌈 Renaissance Researcher (10) 🐝 Cross-Pollinator (14) 🐣 Hot Topic Early Bird πŸƒ Academic Marathon (13) πŸŒ‰ Interdisciplinary Bridge πŸ—ΊοΈ Taxonomy Completionist (20) 🧭 Keyword Pioneer 🌟 Keyword Trendsetter Combo (3) 🏠 Conference Loyalist (20) πŸ† Grand Slam πŸ‘‘ Triple Crown πŸ”¬ Deep Specialist (23) 🧬 Topic Evolution πŸ† Keyword Champion (2) 🀝 Dynamic Duo (34) ❓ The Questioner (5) πŸ—ƒοΈ Keyword Collector (633) πŸ’Ž Century Club (168) πŸš€ Conference Pioneer πŸ”₯ Unstoppable (14) ⚑ Prolific Year (28) πŸ“ˆ Trend Setter

Conferences

NIPS (20) CVPR (20) EMNLP (20) AAAI (19) ACL (19) ICML (17) ECCV (10) ICLR (9) NAACL (8) ICCV (8) IJCAI (5) IJCNLP (5) COLT (3) WACV (3) COLING (2) EACL (1) AISTATS (1) OSDI (1)

Top co-authors

Zhe Gan (34) Jingjing Liu (32) Xiaoye Qu (29) Tianlong Chen (16) Pan Zhou (13) Zhangyang Wang (12) Linjie Li (12) Daizong Liu (11) Wei Wei (11) Shuohang Wang (11)

Research topics

Discrete Mathematics (1)

Keywords

large language model (15) model compression (15) knowledge distillation (9) multimodal learning (8) representation learning (7) video understanding (7) mixture of expert (7) vision transformer (6) few-shot learning (5) vision-language model (5) text generation (5) language model (5) generative adversarial network (5) network pruning (4) human pose estimation (4) non-convex optimization (4) diffusion model (4) contrastive learning (4) adversarial learning (4) question answering (4)

Papers

Less Is More: Vision Representation Compression for Efficient Video Generation with Large Language Models AAAI 2026
TransMamba: A Sequence-Level Hybrid Transformer-Mamba Language Model AAAI 2026
BREEN: Bridge Data-Efficient Encoder-Free Multimodal Learning with Learnable Queries WACV 2026
RFNNS: Robust Fixed Neural Network Steganography with Universal Text-to-Image Models AAAI 2026
StickMotion: Generating 3D Human Motions by Drawing a Stickman CVPR 2025
Extrapolating and Decoupling Image-to-Video Generation Models: Motion Modeling is Easier Than You Think CVPR 2025
OpenIAI-SNIO: A Systematic AR-Based Assembly Guidance System for Small-Scale, High-Density Industrial Components IJCAI 2025
Scaling Laws for Floating–Point Quantization Training ICML 2025
Towards World Simulator: Crafting Physical Commonsense-Based Benchmark for Video Generation ICML 2025
Occult: Optimizing Collaborative Communications across Experts for Accelerated Parallel MoE Training and Inference ICML 2025
Diving into Self-Evolving Training for Multimodal Reasoning ICML 2025
Test-Time Preference Optimization: On-the-Fly Alignment via Iterative Textual Feedback ICML 2025
PipeThreader: Software-Defined Pipelining for Efficient DNN Execution OSDI 2025
Continuous Speech Tokenizer in Text To Speech NAACL 2025
Liger: Linearizing Large Language Models to Gated Recurrent Structures ICML 2025
Divide and Conquer: Grounding LLMs as Efficient Decision-Making Agents via Offline Hierarchical Reinforcement Learning ICML 2025
Can MLLMs Reason in Multimodality? EMMA: An Enhanced MultiModal ReAsoning Benchmark ICML 2025
Make LoRA Great Again: Boosting LoRA with Adaptive Singular Values and Mixture-of-Experts Optimization Alignment ICML 2025
Dynamic Data Mixing Maximizes Instruction Tuning for Mixture-of-Experts NAACL 2025
Unveiling Attractor Cycles in Large Language Models: A Dynamical Systems View of Successive Paraphrasing ACL 2025
Cooperative or Competitive? Understanding the Interaction between Attention Heads From A Game Theory Perspective ACL 2025
PRMBench: A Fine-grained and Challenging Benchmark for Process-Level Reward Models ACL 2025
SEE: Continual Fine-tuning with Sequential Ensemble of Experts ACL 2025
Look, Compare, Decide: Alleviating Hallucination in Large Vision-Language Models via Multi-View Multi-Path Reasoning COLING 2025
Weak to Strong Generalization for Large Language Models with Multi-capabilities ICLR 2025
Modality-Specialized Synergizers for Interleaved Vision-Language Generalists ICLR 2025
ImageGen-CoT: Enhancing Text-to-Image In-context Learning with Chain-of-Thought Reasoning ICCV 2025
LangBridge: Interpreting Image as a Combination of Language Embeddings ICCV 2025
Towards Stabilized and Efficient Diffusion Transformers through Long-Skip-Connections with Spectral Constraints ICCV 2025
LeanVAE: An Ultra-Efficient Reconstruction VAE for Video Diffusion Models ICCV 2025
Dropping Experts, Recombining Neurons: Retraining-Free Pruning for Sparse Mixture-of-Experts LLMs EMNLP 2025
Grounded-VideoLLM: Sharpening Fine-grained Temporal Grounding in Video Large Language Models EMNLP 2025
UltraIF: Advancing Instruction Following from the Wild EMNLP 2025
Bit-Flip Error Resilience in LLMs: A Comprehensive Analysis and Defense Framework EMNLP 2025
CLIP-MoE: Towards Building Mixture of Experts for CLIP with Diversified Multiplet Upcycling EMNLP 2025
Training LLMs to be Better Text Embedders through Bidirectional Reconstruction EMNLP 2025
From Head to Tail: Towards Balanced Representation in Large Vision-Language Models through Adaptive Data Calibration CVPR 2025
MoE-I2: Compressing Mixture of Experts Models through Inter-Expert Pruning and Intra-Expert Low-Rank Decomposition EMNLP 2024
MAGIS: LLM-Based Multi-Agent Framework for GitHub Issue Resolution NIPS 2024
Twin-Merging: Dynamic Integration of Modular Expertise in Model Merging NIPS 2024
$\texttt{ConflictBank}$: A Benchmark for Evaluating the Influence of Knowledge Conflicts in LLMs NIPS 2024
Living in the Moment: Can Large Language Models Grasp Co-Temporal Reasoning? ACL 2024
Unified Single-Stage Transformer Network for Efficient RGB-T Tracking IJCAI 2024
Mitigating Boundary Ambiguity and Inherent Bias for Text Classification in the Era of Large Language Models ACL 2024
Vision-Flan: Scaling Human-Labeled Tasks in Visual Instruction Tuning ACL 2024
Sparse MoE with Language Guided Routing for Multilingual Machine Translation ICLR 2024
On the Universal Truthfulness Hyperplane Inside LLMs EMNLP 2024
ProS: Facial Omni-Representation Learning via Prototype-Based Self-Distillation WACV 2024
Reinforcement Learning with Token-level Feedback for Controllable Text Generation NAACL 2024
Unsupervised Domain Adaptative Temporal Sentence Localization with Mutual Information Maximization AAAI 2024
Enhancing Low-Resource Relation Representations through Multi-View Decoupling AAAI 2024
Towards Robust Temporal Activity Localization Learning with Noisy Labels COLING 2024
SynSP: Synergy of Smoothness and Precision in Pose Sequences Refinement CVPR 2024
LIDAO: Towards Limited Interventions for Debiasing (Large) Language Models ICML 2024
$\textttMoE-RBench$: Towards Building Reliable Language Models with Sparse Mixture-of-Experts ICML 2024
Merge, Then Compress: Demystify Efficient SMoE with Hints from Its Routing Policy ICLR 2024
Multimodal Instruction Tuning with Conditional Mixture of LoRA ACL 2024
Confidence is not Timeless: Modeling Temporal Validity for Rule-based Temporal Knowledge Graph Forecasting ACL 2024
SURf: Teaching Large Vision-Language Models to Selectively Utilize Retrieved Information EMNLP 2024
LLaMA-MoE: Building Mixture-of-Experts from LLaMA with Continual Pre-Training EMNLP 2024
Rethinking Weakly-supervised Video Temporal Grounding From a Game Perspective ECCV 2024
Domain-Adaptive 2D Human Pose Estimation via Dual Teachers in Extremely Low-Light Conditions ECCV 2024
Learning the Unlearned: Mitigating Feature Suppression in Contrastive Learning ECCV 2024
Aggregating Quantitative Relative Judgments: From Social Choice to Ranking Prediction NIPS 2024
On Giant's Shoulders: Effortless Weak to Strong by Dynamic Logits Fusion NIPS 2024
You Are Catching My Attention: Are Vision Transformers Bad Learners Under Backdoor Attacks? CVPR 2023
Hypotheses Tree Building for One-Shot Temporal Sentence Localization AAAI 2023
Adaptive Budget Allocation for Parameter-Efficient Fine-Tuning ICLR 2023
DSFNet: Dual Space Fusion Network for Occlusion-Robust 3D Dense Face Alignment CVPR 2023
Low-Switching Policy Gradient with Exploration via Online Sensitivity Sampling ICML 2023
Robust Second-Order Nonconvex Optimization and Its Application to Low Rank Matrix Sensing NIPS 2023
Local Byte Fusion for Neural Machine Translation ACL 2023
DSEE: Dually Sparsity-embedded Efficient Tuning of Pre-trained Language Models ACL 2023
Robust Matrix Sensing in the Semi-Random Model NIPS 2023
Hiding Data Helps: On the Benefits of Masking for Sparse Coding ICML 2023
Annotations Are Not All You Need: A Cross-modal Knowledge Transfer Network for Unsupervised Temporal Sentence Grounding EMNLP 2023
Robustness Challenges in Model Distillation and Pruning for Natural Language Understanding EACL 2023
Frido: Feature Pyramid Diffusion for Complex Scene Image Synthesis AAAI 2023
DecodingTrust: A Comprehensive Assessment of Trustworthiness in GPT Models NIPS 2023
Point Cloud Domain Adaptation via Masked Local 3D Structure Prediction ECCV 2022
Outlier-Robust Sparse Estimation via Non-Convex Optimization NIPS 2022
MΒ³ViT: Mixture-of-Experts Vision Transformer for Efficient Multi-task Learning with Model-Accelerator Co-design NIPS 2022
Playing Lottery Tickets with Vision and Language AAAI 2022
Memory-Guided Semantic Learning Network for Temporal Sentence Grounding AAAI 2022
Unsupervised Temporal Video Grounding with Deep Semantic Clustering AAAI 2022
Planning with Participation Constraints AAAI 2022
Efficient Robust Training via Backward Smoothing AAAI 2022
A Good Prompt Is Worth Millions of Parameters: Low-resource Prompt-based Learning for Vision-Language Models ACL 2022
The Principle of Diversity: Training Stronger Vision Transformers Calls for Reducing All Levels of Redundancy CVPR 2022
DNA: Improving Few-Shot Transfer Learning with Low-Rank Decomposition and Alignment ECCV 2022
Scalable Learning to Optimize: A Learned Optimizer Can Train Big Models ECCV 2022
Learning Visual Representation from Modality-Shared Contrastive Language-Image Pre-training ECCV 2022
RASAT: Integrating Relational Structures into Pretrained Seq2Seq Model for Text-to-SQL EMNLP 2022
Rethinking the Video Sampling and Reasoning Strategies for Temporal Sentence Grounding EMNLP 2022
SemAttack: Natural Textual Attacks via Different Semantic Spaces NAACL 2022
Cluster-Former: Clustering-based Sparse Transformer for Question Answering IJCNLP 2021
EarlyBERT: Efficient BERT Training via Early-bird Lottery Tickets IJCNLP 2021
Graph and Temporal Convolutional Networks for 3D Multi-person Pose Estimation in Monocular Videos AAAI 2021
Automated Mechanism Design for Classification with Partial Verification AAAI 2021
Classification with Few Tests through Self-Selection AAAI 2021
EarlyBERT: Efficient BERT Training via Early-bird Lottery Tickets ACL 2021
Monocular 3D Multi-Person Pose Estimation by Integrating Top-Down and Bottom-Up Networks CVPR 2021
Robust Learning of Fixed-Structure Bayesian Networks in Nearly-Linear Time ICLR 2021
InfoBERT: Improving Robustness of Language Models from An Information Theoretic Perspective ICLR 2021
Cluster-Former: Clustering-based Sparse Transformer for Question Answering ACL 2021
Fair for All: Best-effort Fairness Guarantees for Classification AISTATS 2021
Few-Shot Object Detection via Classification Refinement and Distractor Retreatment CVPR 2021
Context-Aware Biaffine Localizing Network for Temporal Sentence Grounding CVPR 2021
UC2: Universal Cross-Lingual Cross-Modal Vision-and-Language Pre-Training CVPR 2021
Meta Module Network for Compositional Visual Reasoning WACV 2021
Chasing Sparsity in Vision Transformers: An End-to-End Exploration NIPS 2021
Data-Efficient GAN Training Beyond (Just) Augmentations: A Lottery Ticket Perspective NIPS 2021
The Elastic Lottery Ticket Hypothesis NIPS 2021
Few-Shot Text Classification with Triplet Networks, Data Augmentation, and Curriculum Learning NAACL 2021
APo-VAE: Text Generation in Hyperbolic Space NAACL 2021
Cross-Thought for Sentence Encoder Pre-training EMNLP 2020
HERO: Hierarchical Encoder for Video+Language Omni-representation Pre-training EMNLP 2020
Multi-Fact Correction in Abstractive Text Summarization EMNLP 2020
Contextual Text Style Transfer EMNLP 2020
UNITER: UNiversal Image-TExt Representation Learning ECCV 2020
Object Tracking using Spatio-Temporal Networks for Future Prediction Location ECCV 2020
Behind the Scene: Revealing the Secrets of Pre-trained Vision-and-Language Models ECCV 2020
Violin: A Large-Scale Dataset for Video-and-Language Inference CVPR 2020
BachGAN: High-Resolution Image Synthesis From Salient Object Layout CVPR 2020
Adversarial Robustness: From Self-Supervised Pre-Training to Fine-Tuning CVPR 2020
FreeLB: Enhanced Adversarial Training for Natural Language Understanding ICLR 2020
Graph Optimal Transport for Cross-Domain Alignment ICML 2020
High-dimensional Robust Mean Estimation via Gradient Descent ICML 2020
Distilling Knowledge Learned in BERT for Text Generation ACL 2020
Discourse-Aware Neural Extractive Text Summarization ACL 2020
INSET: Sentence Infilling with INter-SEntential Transformer ACL 2020
3D Human Pose Estimation Using Spatio-Temporal Networks with Explicit Occlusion Training AAAI 2020
What Makes A Good Story? Designing Composite Rewards for Visual Storytelling AAAI 2020
Large-Scale Adversarial Training for Vision-and-Language Representation Learning NIPS 2020
Contrastive Distillation on Intermediate Representations for Language Model Compression EMNLP 2020
Look across Elapse: Disentangled Representation Learning and Photorealistic Cross-Age Face Synthesis for Age-Invariant Face Recognition AAAI 2019
A Better Algorithm for Societal Tradeoffs AAAI 2019
StoryGAN: A Sequential Conditional GAN for Story Visualization CVPR 2019
Domain Adaptive Text Style Transfer IJCNLP 2019
Patient Knowledge Distillation for BERT Model Compression IJCNLP 2019
When Samples Are Strategically Selected ICML 2019
Faster Algorithms for High-Dimensional Robust Covariance Estimation COLT 2019
Occlusion-Aware Networks for 3D Human Pose Estimation in Video ICCV 2019
Patient Knowledge Distillation for BERT Model Compression EMNLP 2019
Distinguishing Distributions When Samples Are Strategically Transformed NIPS 2019
Domain Adaptive Text Style Transfer EMNLP 2019
Adversarial Category Alignment Network for Cross-domain Sentiment Classification NAACL 2019
Relation-Aware Graph Attention Network for Visual Question Answering ICCV 2019
Multi-step Reasoning via Recurrent Dual Attention for Visual Dialog ACL 2019
Sobolev GAN ICLR 2018
Robust Learning of Fixed-Structure Bayesian Networks NIPS 2018
Towards Pose Invariant Face Recognition in the Wild CVPR 2018
Dialog-based Interactive Image Retrieval NIPS 2018
3D-Aided Deep Pose-Invariant Face Recognition IJCAI 2018
Diverse Few-Shot Text Classification with Multiple Metrics NAACL 2018
Non-Convex Matrix Completion Against a Semi-Random Adversary COLT 2018
MMD GAN: Towards Deeper Understanding of Moment Matching Network NIPS 2017
Fully-Adaptive Feature Sharing in Multi-Task Networks With Applications in Person Attribute Classification CVPR 2017
Jointly Attentive Spatial-Temporal Pooling Networks for Video-Based Person Re-Identification ICCV 2017
S3Pool: Pooling With Stochastic Spatial Sampling CVPR 2017
On the Recursive Teaching Dimension of VC Classes NIPS 2016
Walk and Learn: Facial Attribute Representation Learning From Egocentric Video and Contextual Data CVPR 2016
Deep Structured Energy Based Models for Anomaly Detection ICML 2016
Doubly Convolutional Neural Networks NIPS 2016
Reducing infrequent-token perplexity via variational corpora ACL 2015
An Exploration of Parameter Redundancy in Deep Networks With Circulant Projections ICCV 2015
Efficient Sampling for Gaussian Graphical Models via Spectral Sparsification COLT 2015
Reducing infrequent-token perplexity via variational corpora IJCNLP 2015
Temporal Sequence Modeling for Video Event Detection CVPR 2014
Forecast Oriented Classification of Spatio-Temporal Extreme Events IJCAI 2013
Detecting and Tracking Disease Outbreaks by Mining Social Media Data IJCAI 2013