Hao Cheng

Modeling Uncertainty Trends for Timely Retrieval in Dynamic RAG AAAI 2026 4DSTR: Advancing Generative 4D Gaussians with Spatial-Temporal Rectification for High-Quality and Consistent 4D Generation AAAI 2026 Not Just Text: Uncovering Vision Modality Typographic Threats in Image Generation Models CVPR 2025 TruthPrInt: Mitigating Large Vision-Language Models Object Hallucination Via Latent Truthful-Guided Pre-Intervention ICCV 2025 Diversifying the Expert Knowledge for Task-Agnostic Pruning in Sparse Mixture-of-Experts ACL 2025 MPL: Multiple Programming Languages with Large Language Models for Information Extraction ACL 2025 Reconciling Stochastic and Deterministic Strategies for Zero-shot Image Restoration using Diffusion Model in Dual CVPR 2025 EFDTR: Learnable Elliptical Fourier Descriptor Transformer for Instance Segmentation ICML 2025 CollabLLM: From Passive Responders to Active Collaborators ICML 2025 Token Cleaning: Fine-Grained Data Selection for LLM Supervised Fine-Tuning ICML 2025 Generative Adapter: Contextualizing Language Models in Parameters with A Single Forward Pass ICLR 2025 Shallow Focus, Deep Fixes: Enhancing Shallow Layers Vision Attention Sinks to Alleviate Hallucination in LVLMs EMNLP 2025 Adaptive Decision Boundary for Few-Shot Class-Incremental Learning AAAI 2025 monoVLN: Bridging the Observation Gap between Monocular and Panoramic Vision and Language Navigation ICCV 2025 ChartM3: A Multi-Stage Code-Driven Pipeline for Constructing Multi-Dimensional and Multi-Step Visual Reasoning Data in Chart Comprehension EMNLP 2025 Iterative Self-Tuning LLMs for Enhanced Jailbreaking Capabilities NAACL 2025 Longitudinal MRI-Clinical Multimodal Fusion for pCR Prediction in Breast Cancer MICCAI 2025 SeCom: On Memory Construction and Retrieval for Personalized Conversational Agents ICLR 2025 ExACT: Teaching AI Agents to Explore with Reflective-MCTS and Exploratory Learning ICLR 2025 Streaming Video Question-Answering with In-context Video KV-Cache Retrieval ICLR 2025 FREA: Feasibility-Guided Generation of Safety-Critical Scenarios with Reasonable Adversariality CORL 2024 Unmasking and Improving Data Credibility: A Study with Datasets for Training Harmless Language Models ICLR 2024 Spiking Denoising Diffusion Probabilistic Models WACV 2024 Fast-ELECTRA for Efficient Pre-training ICLR 2024 DOS: Diverse Outlier Sampling for Out-of-Distribution Detection ICLR 2024 FedCompetitors: Harmonious Collaboration in Federated Learning with Competing Participants AAAI 2024 ReEval: Automatic Hallucination Evaluation for Retrieval-Augmented Large Language Models via Transferable Adversarial Attacks NAACL 2024 AceGPT, Localizing Large Language Models in Arabic NAACL 2024 OrchestraLLM: Efficient Orchestration of Language Models for Dialogue State Tracking NAACL 2024 DocLens: Multi-aspect Fine-grained Evaluation for Medical Text Generation ACL 2024 Shifting Attention to Relevance: Towards the Predictive Uncertainty Quantification of Free-Form Large Language Models ACL 2024 Progressive Divide-and-Conquer via Subsampling Decomposition for Accelerated MRI CVPR 2024 ACT-Diffusion: Efficient Adversarial Consistency Training for One-step Diffusion Models CVPR 2024 Language Models as Inductive Reasoners EACL 2024 STSP: Spatial-Temporal Subspace Projection for Video Class-incremental Learning ECCV 2024 DyFADet: Dynamic Feature Aggregation for Temporal Action Detection ECCV 2024 LLaVA-Plus: Learning to Use Tools for Creating Multimodal Agents ECCV 2024 Unveiling Typographic Deceptions: Insights of the Typographic Vulnerability in Large Vision-Language Models ECCV 2024 Spiking Neural Network as Adaptive Event Stream Slicer NIPS 2024 RobustTSF: Towards Theory and Design of Robust Time Series Forecasting with Anomalies ICLR 2024 MathVista: Evaluating Mathematical Reasoning of Foundation Models in Visual Contexts ICLR 2024 Pre-training Multi-task Contrastive Learning Models for Scientific Literature Understanding EMNLP 2023 Mitigating Memorization of Noisy Labels via Regularization between Representations ICLR 2023 Visually-Augmented Language Modeling ICLR 2023 Chain-of-Skills: A Configurable Model for Open-Domain Question Answering ACL 2023 Explainable Recommendation with Personalized Review Retrieval and Aspect Learning ACL 2023 Chameleon: Plug-and-Play Compositional Reasoning with Large Language Models NIPS 2023 READ: Aggregating Reconstruction Error into Out-of-Distribution Detection AAAI 2023 Improve Video Representation with Temporal Adversarial Augmentation IJCAI 2023 Optimizing Bi-Encoder for Named Entity Recognition via Contrastive Learning ICLR 2023 Frequency Guidance Matters in Few-Shot Learning ICCV 2023 Exploring Leximin Principle for Fair Core-Selecting Combinatorial Auctions: Payment Rule Design and Implementation IJCAI 2023 Task-Aware Specialization for Efficient and Robust Dense Retrieval for Open-Domain Question Answering ACL 2023 Two Wrongs Don’t Make a Right: Combating Confirmation Bias in Learning with Label Noise AAAI 2023 Identifiability of Label Noise Transition Matrix ICML 2023 Understand and Modularize Generator Optimization in ELECTRA-style Pretraining ICML 2023 Augmenting Language Models with Long-Term Memory NIPS 2023 ShadowFormer: Global Context Helps Shadow Removal AAAI 2023 Open-domain Question Answering via Chain of Reasoning over Heterogeneous Knowledge EMNLP 2022 Open Domain Question Answering with A Unified Knowledge Interface ACL 2022 MR-P: A Parallel Decoding Algorithm for Iterative Refinement Non-Autoregressive Translation ACL 2022 DisCo: Remedying Self-Supervised Learning on Lightweight Models with Distilled Contrastive Learning ECCV 2022 Knowledge-Rich Self-Supervision for Biomedical Entity Linking EMNLP 2022 Unsupervised Learning of Hierarchical Conversation Structure EMNLP 2022 Con-NAT: Contrastive Non-autoregressive Neural Machine Translation EMNLP 2022 Learning with Noisy Labels Revisited: A Study Using Real-World Human Annotations ICLR 2022 Mitigating Neural Network Overconfidence with Logit Normalization ICML 2022 Human Parity on CommonsenseQA: Augmenting Self-Attention with External Attention IJCAI 2022 UnitedQA: A Hybrid Approach for Open Domain Question Answering IJCNLP 2021 Removing the Background by Adding the Background: Towards Background Robust Self-Supervised Video Representation Learning CVPR 2021 Dialogue State Tracking with a Language Model using Schema-Driven Prompting EMNLP 2021 One for More: Selecting Generalizable Samples for Generalizable ReID Model AAAI 2021 Posterior Differential Regularization with f-divergence for Improving Model Robustness NAACL 2021 Learning with Instance-Dependent Label Noise: A Sample Sieve Approach ICLR 2021 UnitedQA: A Hybrid Approach for Open Domain Question Answering ACL 2021 Targeted Adversarial Training for Natural Language Understanding NAACL 2021 The Microsoft Toolkit of Multi-Task Deep Neural Networks for Natural Language Understanding ACL 2020 Probabilistic Assumptions Matter: Improved Models for Distantly-Supervised Document-Level Question Answering ACL 2020 Do Not Disturb Me: Person Re-identification Under the Interference of Other Pedestrians ECCV 2020 Filter Grafting for Deep Neural Networks CVPR 2020 Pruning Filter in Filter NIPS 2020 Train Once, and Decode As You Like COLING 2020 Asymmetric Co-Teaching for Unsupervised Cross-Domain Person Re-Identification AAAI 2020 Adversarial Robustness vs. Model Compression, or Both? ICCV 2019 Local to Global Learning: Gradually Adding Classes for Training Deep Neural Networks CVPR 2019 A Dynamic Speaker Model for Conversational Interactions NAACL 2019 A Unified Approach to Online Matching with Conflict-Aware Constraints AAAI 2019 Sounding Board: A User-Centric and Content-Driven Social Chatbot NAACL 2018 Evaluating Capability of Deep Neural Networks for Image Classification via Information Plane ECCV 2018 Towards Generalized and Efficient Metric Learning on Riemannian Manifold IJCAI 2018 A Factored Neural Network Model for Characterizing Online Discussions in Vector Space EMNLP 2017 Scalable and Sound Low-Rank Tensor Learning AISTATS 2016 Bi-directional Attention with Agreement for Dependency Parsing EMNLP 2016 Language Models for Image Captioning: The Quirks and What Works ACL 2015 Language Models for Image Captioning: The Quirks and What Works IJCNLP 2015 Open-Domain Name Error Detection using a Multi-Task RNN EMNLP 2015 Convex Two-Layer Modeling NIPS 2013 Characterizing the Representer Theorem ICML 2013