Ce Zhang

Enhancing Visual Planning with Auxiliary Tasks and Multi-token Prediction WACV 2026 Evolving Contextual Safety in Multi-Modal Large Language Models via Inference-Time Self-Reflective Memory CVPR 2026 Transfer Conformal Predictive Inference for Regression JMLR 2026 WebAggregator: Enhancing Compositional Reasoning Capabilities of Deep Research Agent Foundation Models ACL 2026 BASKET: A Large-Scale Video Dataset for Fine-Grained Skill Estimation CVPR 2025 Differentially Private Analysis for Binary Response Models: Optimality, Estimation, and Inference ICML 2025 Enhancing Vision-Language Few-Shot Adaptation with Negative Learning WACV 2025 Improving Model Alignment Through Collective Intelligence of Open-Source Models ICML 2025 InstructPart: Task-Oriented Part Segmentation with Instruction Reasoning ACL 2025 Mixture-of-Agents Enhances Large Language Model Capabilities ICLR 2025 ONLY: One-Layer Intervention Sufficiently Mitigates Hallucinations in Large Vision-Language Models ICCV 2025 Scaling Instruction-tuned LLMs to Million-token Contexts via Hierarchical Synthetic Data Generation ICLR 2025 Self-Correcting Decoding with Generative Feedback for Mitigating Hallucinations in Large Vision-Language Models ICLR 2025 Speculative Prefill: Turbocharging TTFT with Lightweight and Training-Free Token Importance Estimation ICML 2025 AntGPT: Can Large Language Models Help Long-term Action Anticipation from Videos? ICLR 2024 A Simple LLM Framework for Long-Range Video Question-Answering EMNLP 2024 Concept-Guided Prompt Learning for Generalization in Vision-Language Models AAAI 2024 Data Debugging with Shapley Importance over Machine Learning Pipelines ICLR 2024 Dual Prototype Evolving for Test-Time Generalization of Vision-Language Models NeurIPS 2024 Effective and Efficient Federated Tree Learning on Hybrid Data ICLR 2024 FM-Delta: Lossless Compression for Storing Massive Fine-tuned Foundation Models NeurIPS 2024 HiKER-SGG: Hierarchical Knowledge Enhanced Robust Scene Graph Generation CVPR 2024 Learning To Adapt CLIP for Few-Shot Monocular Depth Estimation WACV 2024 Mechanistic Design and Scaling of Hybrid Architectures ICML 2024 Mitigating Catastrophic Forgetting in Language Transfer via Model Merging EMNLP 2024 OAM-TCD: A globally diverse dataset of high-resolution tree cover maps NeurIPS 2024 Object-Centric Video Representation for Long-Term Action Anticipation WACV 2024 OpenBox: A Python Toolkit for Generalized Black-box Optimization JMLR 2024 RedPajama: an Open Dataset for Training Large Language Models NeurIPS 2024 CocktailSGD: Fine-tuning Foundation Models over 500Mbps Networks ICML 2023 Contrastive Learning for Unsupervised Domain Adaptation of Time Series ICLR 2023 DataPerf: Benchmarks for Data-Centric AI Development NeurIPS 2023 Deja Vu: Contextual Sparsity for Efficient LLMs at Inference Time ICML 2023 FedHPO-Bench: A Benchmark Suite for Federated Hyperparameter Optimization ICML 2023 FlexGen: High-Throughput Generative Inference of Large Language Models with a Single GPU ICML 2023 Goal-Conditioned Predictive Coding for Offline Reinforcement Learning NeurIPS 2023 Laughing Hyena Distillery: Extracting Compact Recurrences From Convolutions NeurIPS 2023 Neuro-Modulated Hebbian Learning for Fully Test-Time Adaptation CVPR 2023 Self-Correctable and Adaptable Inference for Generalizable Human Pose Estimation CVPR 2023 Skill-it! A data-driven skills framework for understanding and training language models NeurIPS 2023 WordScape: a Pipeline to extract multilingual, visually rich Documents with Layout Annotations from Web Crawl Data NeurIPS 2023 Certifying Out-of-Domain Generalization for Blackbox Functions ICML 2022 Certifying Some Distributional Fairness with Subpopulation Decomposition NeurIPS 2022 Decentralized Training of Foundation Models in Heterogeneous Environments NeurIPS 2022 Fine-tuning Language Models over Slow Networks using Activation Quantization with Guarantees NeurIPS 2022 iFlood: A Stable and Effective Regularizer ICLR 2022 Improving Certified Robustness via Statistical Learning with Logical Reasoning NeurIPS 2022 Neural Methods for Logical Reasoning over Knowledge Graphs ICLR 2022 ReforesTree: A Dataset for Estimating Tropical Forest Carbon Stock with Deep Learning and Aerial Imagery AAAI 2022 VF-PS: How to Select Important Participants in Vertical Federated Learning, Efficiently and Securely? NeurIPS 2022 Which Model To Transfer? Finding the Needle in the Growing Haystack CVPR 2022 1-bit Adam: Communication Efficient Large-Scale Training with Adam’s Convergence Speed ICML 2021 DocParser: Hierarchical Document Structure Parsing from Renderings AAAI 2021 Evolving Attention with Residual Convolutions ICML 2021 Knowledge Enhanced Machine Learning Pipeline against Diverse Adversarial Attacks ICML 2021 Knowledge Router: Learning Disentangled Representations for Knowledge Graphs NAACL 2021 MFES-HB: Efficient Hyperband with Multi-Fidelity Quality Measurements AAAI 2021 Multilingual Language Models Predict Human Reading Behavior NAACL 2021 Online Active Model Selection for Pre-trained Classifiers AISTATS 2021 Scalability vs. Utility: Do We Have To Sacrifice One for the Other in Data Importance Quantification? CVPR 2021 Towards Automatic Bias Detection in Knowledge Graphs EMNLP 2021 TRS: Transferability Reduced Ensemble via Promoting Gradient Diversity and Model Smoothness NeurIPS 2021 CogniVal in Action: An Interface for Customizable Cognitive Word Embedding Evaluation COLING 2020 Control, Generate, Augment: A Scalable Framework for Multi-Attribute Text Generation EMNLP 2020 Don’t Waste Your Bits! Squeeze Activations and Gradients for Deep Neural Networks via TinyScript ICML 2020 Efficient Automatic CASH via Rising Bandits AAAI 2020 Learning to Mutate with Hypergradient Guided Population NeurIPS 2020 On Convergence of Nearest Neighbor Classifiers over Feature Transformations NeurIPS 2020 Spectral Temporal Graph Neural Network for Multivariate Time-series Forecasting NeurIPS 2020 TextNAS: A Neural Architecture Search Space Tailored for Text Representation AAAI 2020 Topic Modeling on Document Networks with Adjacent-Encoder AAAI 2020 AutoML from Service Provider’s Perspective: Multi-device, Multi-tenant Model Selection with GP-EI AISTATS 2019 CogniVal: A Framework for Cognitive Word Embedding Evaluation CoNLL 2019 Distributed Learning over Unreliable Networks ICML 2019 DL2: Training and Querying Neural Networks with Logic ICML 2019 Entity Recognition at First Sight: Improving NER with Eye Movement Information NAACL 2019 Is advance knowledge of flow sizes a plausible assumption? NSDI 2019 Towards Efficient Data Valuation Based on the Shapley Value AISTATS 2019 D^2: Decentralized Training over Decentralized Data ICML 2018 Asynchronous Decentralized Parallel Stochastic Gradient Descent ICML 2018 Communication Compression for Decentralized Training NeurIPS 2018 ETH-DS3Lab at SemEval-2018 Task 7: Effectively Combining Recurrent and Convolutional Neural Networks for Relation Classification and Extraction SemEval 2018 Layerwise Systematic Scan: Deep Boltzmann Machines and Beyond AISTATS 2018 Patient Risk Assessment and Warning Symptom Detection Using Deep Attention-Based Neural Networks EMNLP 2018 Can Decentralized Algorithms Outperform Centralized Algorithms? A Case Study for Decentralized Parallel Stochastic Gradient Descent NeurIPS 2017 ZipML: Training Linear Models with End-to-End Low Precision, and a Little Bit of Deep Learning ICML 2017 Cyclades: Conflict-free Asynchronous Machine Learning NeurIPS 2016 Rapidly Mixing Gibbs Sampling for a Class of Factor Graphs Using Hierarchy Width NeurIPS 2015 Taming the Wild: A Unified Analysis of Hogwild-Style Algorithms NeurIPS 2015 Parallel Feature Selection Inspired by Group Testing NeurIPS 2014 An Approximate, Efficient LP Solver for LP Rounding NeurIPS 2013 Understanding Tables in Context Using Standard NLP Toolkits ACL 2013 Big Data versus the Crowd: Looking for Relationships in All the Right Places ACL 2012