Cheng Zhang

100 papers · 2016–2026 · 22 conferences · across top CS/AI conferences

Achievements

🐝 Cross-Pollinator (4) 🌈 Renaissance Researcher (13) 🗺️ Taxonomy Completionist (10) 🧭 Keyword Pioneer 🌍 Conference Polyglot (21) 🏃 Academic Marathon (9) 🌉 Interdisciplinary Bridge 🐣 Hot Topic Early Bird 🏠 Conference Loyalist (20) 🔬 Deep Specialist (14) 🧬 Topic Evolution 🏆 Keyword Champion (3) 🏆 Grand Slam 👑 Triple Crown 🗃️ Keyword Collector (398) ⚡ Prolific Year (16) 🚀 Conference Pioneer 💎 Century Club (94) 🔥 Unstoppable (10) 📈 Trend Setter ❓ The Questioner (4)

Conferences

NIPS (20) CVPR (13) AAAI (12) ICML (10) ICLR (9) EMNLP (5) ICCV (5) ECCV (4) ACL (4) IJCNLP (3) COLING (2) AISTATS (2) MLHC (2) UAI (1) SEMEVAL (1) RSS (1) AACL (1) NAACL (1) JMLR (1) IJCAI (1) CLEAR (1) CONLL (1)

Top co-authors

Longlin Yu (7) Chao Ma (7) Sebastian Tschiatschek (6) Tianyu Xie (6) Hedvig Kjellström (6) Joel Jennings (6) Kun Zhang (5) Yiren Zhao (5) Wei-Lun Chao (5) Ruibo Tu (5)

Research topics

Keywords

variational inference (11) diffusion model (6) variational autoencoder (5) image generation (4) large language model (4) bayesian inference (4) 3d reconstruction (3) text classification (3) causal discovery (3) missing datum (3) phylogenetic inference (3) domain adaptation (3) uncertainty quantification (3) data augmentation (3) graph neural network (3) weakly supervised learning (2) causal inference (2) object detection (2) dialogue generation (2) transformer architecture (2)

Papers

PanFlow: Decoupled Motion Control for Panoramic Video Generation AAAI 2026

Cook and Clean Together: Teaching Embodied Agents for Parallel Task Execution AAAI 2026

MSCFL: Model Structure-Aware Clustered Federated Learning for System Heterogeneity and Data Drift AAAI 2026

Stratos: An End-to-End Distillation Pipeline for Customized LLMs Under Distributed Cloud Environments AAAI 2026

SEMC: Structure-Enhanced Mixture-of-Experts Contrastive Learning for Ultrasound Standard Plane Recognition AAAI 2026

Rethinking Removal Attack and Fingerprinting Defense for Model Intellectual Property Protection: A Frequency Perspective IJCAI 2025

Hardware and Software Platform Inference ICML 2025

ENG-DRB: PDTB-style Discourse Relation Bank on Engineering Tutorial Video Scripts AACL 2025

HalluLens: LLM Hallucination Benchmark ACL 2025

Refining Salience-Aware Sparse Fine-Tuning Strategies for Language Models ACL 2025

PhyloVAE: Unsupervised Learning of Phylogenetic Trees via Variational Autoencoders ICLR 2025

QERA: an Analytical Framework for Quantization Error Reconstruction ICLR 2025

PanSplat: 4K Panorama Synthesis with Feed-Forward Gaussian Splatting CVPR 2025

Digital Twin Catalog: A Large-Scale Photorealistic 3D Object Digital Twin Dataset CVPR 2025

Continuous Semi-Implicit Models ICML 2025

Calibrating Verbal Uncertainty as a Linear Feature to Reduce Hallucinations EMNLP 2025

Panorama Generation From NFoV Image Done Right CVPR 2025

HVI: A New Color Space for Low-light Image Enhancement CVPR 2025

TaxaDiffusion: Progressively Trained Diffusion Model for Fine-Grained Species Generation ICCV 2025

ENG-DRB: PDTB-style Discourse Relation Bank on Engineering Tutorial Video Scripts IJCNLP 2025

Taming Stable Diffusion for Text to 360 Panorama Image Generation CVPR 2024

Generalizable Human Gaussians for Sparse View Synthesis ECCV 2024

An Empirical Study and Analysis of Text-to-Image Generation Using Large Language Model-Powered Textual Representation ECCV 2024

A Variational Approach to Bayesian Phylogenetic Inference JMLR 2024

Visual Data Diagnosis and Debiasing with Concept Graphs NIPS 2024

Functional Gradient Flows for Constrained Sampling NIPS 2024

Towards Causal Foundation Model: on Duality between Optimal Balancing and Attention ICML 2024

LQER: Low-Rank Quantization Error Reconstruction for LLMs ICML 2024

Reflected Flow Matching ICML 2024

A Fixed-Point Approach for Causal Generative Modeling ICML 2024

ProAgent: Building Proactive Cooperative Agents with Large Language Models AAAI 2024

EasyTS: The Express Lane to Long Time Series Forecasting AAAI 2024

Kernel Semi-Implicit Variational Inference ICML 2024

TextureDreamer: Image-Guided Texture Synthesis Through Geometry-Aware Diffusion CVPR 2024

Make Your ViT-based Multi-view 3D Detectors Faster via Token Compression ECCV 2024

Towards Effective Usage of Human-Centric Priors in Diffusion Models for Text-based Human Image Generation CVPR 2024

Rhino: Deep Causal Temporal Relationship Learning with History-dependent Noise ICLR 2023

Learnable Topological Features For Phylogenetic Inference via Graph Neural Networks ICLR 2023

Causal Reasoning in the Presence of Latent Confounders via Neural ADMG Learning ICLR 2023

High Precision Causal Model Evaluation with Conditional Randomization NIPS 2023

Hierarchical Semi-Implicit Variational Inference with Application to Diffusion Model Acceleration NIPS 2023

ARTree: A Deep Autoregressive Model for Phylogenetic Inference NIPS 2023

TokenHPE: Learning Orientation Tokens for Efficient Head Pose Estimation via Transformers CVPR 2023

Revisiting Block-based Quantisation: What is Important for Sub-8-bit LLM Inference? EMNLP 2023

ITI-GEN: Inclusive Text-to-Image Generation ICCV 2023

Neural-PBIR Reconstruction of Shape, Material, and Illumination ICCV 2023

BayesDAG: Gradient-Based Posterior Inference for Causal Discovery NIPS 2023

SAM-RL: Sensing-Aware Model-Based Reinforcement Learning via Differentiable Physics-Based Simulation and Rendering RSS 2023

CO-BED: Information-Theoretic Contextual Optimization via Bayesian Experimental Design ICML 2023

Semi-Implicit Variational Inference via Score Matching ICLR 2023

Particle-based Variational Inference with Generalized Wasserstein Gradient Flow NIPS 2023

Learning with Free Object Segments for Long-Tailed Instance Segmentation ECCV 2022

Simultaneous Missing Value Imputation and Structure Learning with Groups NIPS 2022

Local Constraint-Based Causal Discovery under Selection Bias CLEAR 2022

MCS: An In-battle Commentary System for MOBA Games COLING 2022

Fingerprinting Deep Neural Networks Globally via Universal Adversarial Perturbations CVPR 2022

PatchFormer: An Efficient Point Transformer With Patch Attention CVPR 2022

Exploring and Evaluating Image Restoration Potential in Dynamic Scenes CVPR 2022

Optimal Transport for Causal Discovery ICLR 2022

Crossroads, Buildings and Neighborhoods: A Dataset for Fine-grained Location Recognition NAACL 2022

DeepPanoContext: Panoramic 3D Scene Understanding With Holistic Scene Context Graph and Relation-Based Optimization ICCV 2021

Holistic 3D Scene Understanding From a Single Image With Implicit Representation CVPR 2021

Meta-Learning Divergences for Variational Inference AISTATS 2021

How does Attention Affect the Model? ACL 2021

Educational Question Mining At Scale: Prediction, Analysis and Personalization AAAI 2021

Estimating α-Rank by Maximizing Information Gain AAAI 2021

Identifiable Generative models for Missing Not at Random Data Imputation NIPS 2021

Sparse Uncertainty Representation in Deep Learning with Inducing Weights NIPS 2021

How does Attention Affect the Model? IJCNLP 2021

On Model Calibration for Long-Tailed Object Detection and Instance Segmentation NIPS 2021

Probabilistic DAG search UAI 2021

Discovering the Unknown Knowns: Turning Implicit Knowledge in the Dataset into Explicit Training Examples for Visual Question Answering EMNLP 2021

MosaicOS: A Simple and Effective Use of Object-Centric Images for Long-Tailed Object Detection ICCV 2021

A Causal View on Robustness of Neural Networks NIPS 2020

WUY at SemEval-2020 Task 7: Combining BERT and Naive Bayes-SVM for Humor Assessment in Edited News Headlines SEMEVAL 2020

Improved Variational Bayesian Phylogenetic Inference with Normalizing Flows NIPS 2020

MovieChats: Chat like Humans in a Closed Domain EMNLP 2020

Learning from Easy to Complex: Adaptive Multi-Curricula Learning for Neural Dialogue Generation AAAI 2020

Blindly Assess Image Quality in the Wild Guided by a Self-Adaptive Hyper Network CVPR 2020

Weakly-Supervised Fine-Grained Event Recognition on Social Media Texts for Disaster Management AAAI 2020

AMRL: Aggregated Memory For Reinforcement Learning ICLR 2020

WUY at SemEval-2020 Task 7: Combining BERT and Naive Bayes-SVM for Humor Assessment in Edited News Headlines COLING 2020

Data Manipulation: Towards Effective Instance Learning for Neural Dialogue Generation via Learning to Augment and Reweight ACL 2020

VAEM: a Deep Generative Model for Heterogeneous Mixed Type Data NIPS 2020

How do fair decisions fare in long-term qualification? NIPS 2020

Causal Discovery in the Presence of Missing Data AISTATS 2019

EDDI: Efficient Dynamic Discovery of High-Value Information with Partial VAE ICML 2019

Active Mini-Batch Sampling Using Repulsive Point Processes AAAI 2019

Icebreaker: Element-wise Efficient Information Acquisition with a Bayesian Deep Latent Gaussian Model NIPS 2019

Adaptive Parameterization for Neural Dialogue Generation IJCNLP 2019

Generalization in Reinforcement Learning with Selective Noise Injection and Information Bottleneck NIPS 2019

Adaptive Parameterization for Neural Dialogue Generation EMNLP 2019

Variational Bayesian Phylogenetic Inference ICLR 2019

Neuropathic Pain Diagnosis Simulator for Causal Discovery Algorithm Evaluation NIPS 2019

Simultaneous Measurement Imputation and Outcome Prediction for Achilles Tendon Rupture Rehabilitation MLHC 2019

Continuous Word Embedding Fusion via Spectral Decomposition CONLL 2018

Generalizing Tree Probability Estimation via Bayesian Networks NIPS 2018

Perturbative Black Box Variational Inference NIPS 2017

Probabilistic Path Hamiltonian Monte Carlo ICML 2017

Diagnostic Prediction Using Discomfort Drawings with IBTM MLHC 2016