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Cheng Zhang

101 papers · 2016–2026 · 21 venues · across top CS/AI venues

This profile combines several different researchers. Authors are keyed by name, and this name's papers fall into 34 separate collaboration groups - the largest holds only 25% of them. Pick the group below that matches the researcher you mean. How a shared name is split.

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Which Cheng Zhang?

16 groups of papers that share co-authors internally but none with each other - each most likely a different researcher. Pick one to see its papers.

with Chao Ma, Hedvig Kjellström, Sebastian Tschiatschek 25 papers · 2016–2024 · NeurIPS, ICML, ICLR Hide ▲
A Fixed-Point Approach for Causal Generative Modeling ICML 2024 Towards Causal Foundation Model: on Duality between Optimal Balancing and Attention ICML 2024 BayesDAG: Gradient-Based Posterior Inference for Causal Discovery NeurIPS 2023 CO-BED: Information-Theoretic Contextual Optimization via Bayesian Experimental Design ICML 2023 Causal Reasoning in the Presence of Latent Confounders via Neural ADMG Learning ICLR 2023 High Precision Causal Model Evaluation with Conditional Randomization NeurIPS 2023 Rhino: Deep Causal Temporal Relationship Learning with History-dependent Noise ICLR 2023 Optimal Transport for Causal Discovery ICLR 2022 Simultaneous Missing Value Imputation and Structure Learning with Groups NeurIPS 2022 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 NeurIPS 2021 Meta-Learning Divergences for Variational Inference AISTATS 2021 Sparse Uncertainty Representation in Deep Learning with Inducing Weights NeurIPS 2021 A Causal View on Robustness of Neural Networks NeurIPS 2020 AMRL: Aggregated Memory For Reinforcement Learning ICLR 2020 How do fair decisions fare in long-term qualification? NeurIPS 2020 VAEM: a Deep Generative Model for Heterogeneous Mixed Type Data NeurIPS 2020 Causal Discovery in the Presence of Missing Data AISTATS 2019 EDDI: Efficient Dynamic Discovery of High-Value Information with Partial VAE ICML 2019 Generalization in Reinforcement Learning with Selective Noise Injection and Information Bottleneck NeurIPS 2019 Icebreaker: Element-wise Efficient Information Acquisition with a Bayesian Deep Latent Gaussian Model NeurIPS 2019 Neuropathic Pain Diagnosis Simulator for Causal Discovery Algorithm Evaluation NeurIPS 2019 Simultaneous Measurement Imputation and Outcome Prediction for Achilles Tendon Rupture Rehabilitation MLHC 2019 Diagnostic Prediction Using Discomfort Drawings with IBTM MLHC 2016
18 papers whose co-authors appear nowhere else under this name
All Languages Matter: Understanding and Mitigating Language Bias in Multilingual RAG ACL 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 SEMC: Structure-Enhanced Mixture-of-Experts Contrastive Learning for Ultrasound Standard Plane Recognition AAAI 2026 Panorama Generation From NFoV Image Done Right CVPR 2025 ProAgent: Building Proactive Cooperative Agents with Large Language Models AAAI 2024 Learnable Topological Features For Phylogenetic Inference via Graph Neural Networks ICLR 2023 TokenHPE: Learning Orientation Tokens for Efficient Head Pose Estimation via Transformers CVPR 2023 Fingerprinting Deep Neural Networks Globally via Universal Adversarial Perturbations CVPR 2022 Local Constraint-Based Causal Discovery under Selection Bias CLeaR 2022 MCS: An In-battle Commentary System for MOBA Games COLING 2022 PatchFormer: An Efficient Point Transformer With Patch Attention CVPR 2022 How does Attention Affect the Model? ACL 2021 Probabilistic DAG search UAI 2021 Improved Variational Bayesian Phylogenetic Inference with Normalizing Flows NeurIPS 2020 MovieChats: Chat like Humans in a Closed Domain EMNLP 2020 WUY at SemEval-2020 Task 7: Combining BERT and Naive Bayes-SVM for Humor Assessment in Edited News Headlines SemEval 2020 Generalizing Tree Probability Estimation via Bayesian Networks NeurIPS 2018

Venues · all papers under this name

NeurIPS (20) CVPR (15) AAAI (12) ICML (10) ICLR (9) ACL (7) EMNLP (5) ICCV (5) ECCV (4) AISTATS (2) MLHC (2) CoNLL (1) COLING (1) CLeaR (1) IJCAI (1) IJCNLP (1) JMLR (1) NAACL (1) RSS (1) SemEval (1) UAI (1)