Cheng Zhang

SEMC: Structure-Enhanced Mixture-of-Experts Contrastive Learning for Ultrasound Standard Plane Recognition AAAI 2026 All Languages Matter: Understanding and Mitigating Language Bias in Multilingual RAG ACL 2026 Stratos: An End-to-End Distillation Pipeline for Customized LLMs Under Distributed Cloud Environments AAAI 2026 DarwinTOD: LLM-Driven Lifelong Self-evolution for Task-oriented Dialog Systems ACL 2026 HeLa-Mem: Hebbian Learning and Associative Memory for LLM Agents ACL 2026 MSCFL: Model Structure-Aware Clustered Federated Learning for System Heterogeneity and Data Drift AAAI 2026 Cook and Clean Together: Teaching Embodied Agents for Parallel Task Execution AAAI 2026 PanFlow: Decoupled Motion Control for Panoramic Video Generation AAAI 2026 PhyloVAE: Unsupervised Learning of Phylogenetic Trees via Variational Autoencoders ICLR 2025 QERA: an Analytical Framework for Quantization Error Reconstruction ICLR 2025 TaxaDiffusion: Progressively Trained Diffusion Model for Fine-Grained Species Generation ICCV 2025 Calibrating Verbal Uncertainty as a Linear Feature to Reduce Hallucinations EMNLP 2025 Digital Twin Catalog: A Large-Scale Photorealistic 3D Object Digital Twin Dataset CVPR 2025 Panorama Generation From NFoV Image Done Right CVPR 2025 PanSplat: 4K Panorama Synthesis with Feed-Forward Gaussian Splatting CVPR 2025 HVI: A New Color Space for Low-light Image Enhancement CVPR 2025 Refining Salience-Aware Sparse Fine-Tuning Strategies for Language Models ACL 2025 ENG-DRB: PDTB-style Discourse Relation Bank on Engineering Tutorial Video Scripts AACL 2025 HalluLens: LLM Hallucination Benchmark ACL 2025 ENG-DRB: PDTB-style Discourse Relation Bank on Engineering Tutorial Video Scripts IJCNLP 2025 Rethinking Removal Attack and Fingerprinting Defense for Model Intellectual Property Protection: A Frequency Perspective IJCAI 2025 Hardware and Software Platform Inference ICML 2025 Continuous Semi-Implicit Models ICML 2025 Reflected Flow Matching ICML 2024 Visual Data Diagnosis and Debiasing with Concept Graphs NIPS 2024 Functional Gradient Flows for Constrained Sampling NIPS 2024 ProAgent: Building Proactive Cooperative Agents with Large Language Models AAAI 2024 EasyTS: The Express Lane to Long Time Series Forecasting AAAI 2024 TextureDreamer: Image-Guided Texture Synthesis Through Geometry-Aware Diffusion CVPR 2024 Taming Stable Diffusion for Text to 360 Panorama Image Generation CVPR 2024 Towards Effective Usage of Human-Centric Priors in Diffusion Models for Text-based Human Image Generation CVPR 2024 Make Your ViT-based Multi-view 3D Detectors Faster via Token Compression ECCV 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 Kernel Semi-Implicit Variational Inference ICML 2024 A Fixed-Point Approach for Causal Generative Modeling ICML 2024 LQER: Low-Rank Quantization Error Reconstruction for LLMs ICML 2024 Towards Causal Foundation Model: on Duality between Optimal Balancing and Attention ICML 2024 A Variational Approach to Bayesian Phylogenetic Inference JMLR 2024 High Precision Causal Model Evaluation with Conditional Randomization NIPS 2023 Hierarchical Semi-Implicit Variational Inference with Application to Diffusion Model Acceleration NIPS 2023 Semi-Implicit Variational Inference via Score Matching ICLR 2023 TokenHPE: Learning Orientation Tokens for Efficient Head Pose Estimation via Transformers CVPR 2023 SAM-RL: Sensing-Aware Model-Based Reinforcement Learning via Differentiable Physics-Based Simulation and Rendering RSS 2023 BayesDAG: Gradient-Based Posterior Inference for Causal Discovery NIPS 2023 CO-BED: Information-Theoretic Contextual Optimization via Bayesian Experimental Design ICML 2023 ARTree: A Deep Autoregressive Model for Phylogenetic Inference NIPS 2023 Revisiting Block-based Quantisation: What is Important for Sub-8-bit LLM Inference? EMNLP 2023 Particle-based Variational Inference with Generalized Wasserstein Gradient Flow NIPS 2023 ITI-GEN: Inclusive Text-to-Image Generation ICCV 2023 Neural-PBIR Reconstruction of Shape, Material, and Illumination ICCV 2023 Causal Reasoning in the Presence of Latent Confounders via Neural ADMG Learning ICLR 2023 Learnable Topological Features For Phylogenetic Inference via Graph Neural Networks ICLR 2023 Rhino: Deep Causal Temporal Relationship Learning with History-dependent Noise ICLR 2023 Optimal Transport for Causal Discovery ICLR 2022 Crossroads, Buildings and Neighborhoods: A Dataset for Fine-grained Location Recognition NAACL 2022 Simultaneous Missing Value Imputation and Structure Learning with Groups NIPS 2022 Fingerprinting Deep Neural Networks Globally via Universal Adversarial Perturbations CVPR 2022 PatchFormer: An Efficient Point Transformer With Patch Attention CVPR 2022 MCS: An In-battle Commentary System for MOBA Games COLING 2022 Local Constraint-Based Causal Discovery under Selection Bias CLEAR 2022 Exploring and Evaluating Image Restoration Potential in Dynamic Scenes CVPR 2022 Learning with Free Object Segments for Long-Tailed Instance Segmentation ECCV 2022 Holistic 3D Scene Understanding From a Single Image With Implicit Representation CVPR 2021 Probabilistic DAG search UAI 2021 On Model Calibration for Long-Tailed Object Detection and Instance Segmentation NIPS 2021 Estimating α-Rank by Maximizing Information Gain AAAI 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 DeepPanoContext: Panoramic 3D Scene Understanding With Holistic Scene Context Graph and Relation-Based Optimization ICCV 2021 Identifiable Generative models for Missing Not at Random Data Imputation NIPS 2021 How does Attention Affect the Model? IJCNLP 2021 Sparse Uncertainty Representation in Deep Learning with Inducing Weights NIPS 2021 How does Attention Affect the Model? ACL 2021 Educational Question Mining At Scale: Prediction, Analysis and Personalization AAAI 2021 Meta-Learning Divergences for Variational Inference AISTATS 2021 AMRL: Aggregated Memory For Reinforcement Learning ICLR 2020 VAEM: a Deep Generative Model for Heterogeneous Mixed Type Data NIPS 2020 Improved Variational Bayesian Phylogenetic Inference with Normalizing Flows NIPS 2020 How do fair decisions fare in long-term qualification? NIPS 2020 WUY at SemEval-2020 Task 7: Combining BERT and Naive Bayes-SVM for Humor Assessment in Edited News Headlines SEMEVAL 2020 Data Manipulation: Towards Effective Instance Learning for Neural Dialogue Generation via Learning to Augment and Reweight ACL 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 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 COLING 2020 Learning from Easy to Complex: Adaptive Multi-Curricula Learning for Neural Dialogue Generation AAAI 2020 MovieChats: Chat like Humans in a Closed Domain EMNLP 2020 Adaptive Parameterization for Neural Dialogue Generation EMNLP 2019 Generalization in Reinforcement Learning with Selective Noise Injection and Information Bottleneck NIPS 2019 Icebreaker: Element-wise Efficient Information Acquisition with a Bayesian Deep Latent Gaussian Model NIPS 2019 Neuropathic Pain Diagnosis Simulator for Causal Discovery Algorithm Evaluation NIPS 2019 Adaptive Parameterization for Neural Dialogue Generation IJCNLP 2019 Simultaneous Measurement Imputation and Outcome Prediction for Achilles Tendon Rupture Rehabilitation MLHC 2019 Active Mini-Batch Sampling Using Repulsive Point Processes AAAI 2019 Causal Discovery in the Presence of Missing Data AISTATS 2019 Variational Bayesian Phylogenetic Inference ICLR 2019 EDDI: Efficient Dynamic Discovery of High-Value Information with Partial VAE ICML 2019 Generalizing Tree Probability Estimation via Bayesian Networks NIPS 2018 Continuous Word Embedding Fusion via Spectral Decomposition CONLL 2018 Perturbative Black Box Variational Inference NIPS 2017 Probabilistic Path Hamiltonian Monte Carlo ICML 2017 Diagnostic Prediction Using Discomfort Drawings with IBTM MLHC 2016