← Authors

Hao Cheng

98 papers · 2013–2026 · 18 conferences · across top CS/AI conferences

Achievements

🧭 Keyword Pioneer 🌍 Conference Polyglot (18) 🐣 Hot Topic Early Bird 🐝 Cross-Pollinator (14) πŸƒ Academic Marathon (12) 🌈 Renaissance Researcher (5) πŸŒ‰ Interdisciplinary Bridge πŸ—ΊοΈ Taxonomy Completionist (11) πŸ† Grand Slam πŸ‘‘ Triple Crown 🀝 Dynamic Duo (29) 🧬 Topic Evolution πŸ† Keyword Champion πŸ”₯ Unstoppable (11) ⚑ Prolific Year (10) πŸ“ˆ Trend Setter πŸ—ƒοΈ Keyword Collector (335) ❓ The Questioner πŸ’Ž Century Club (96) πŸš€ Conference Pioneer

Conferences

ICLR (14) ACL (13) EMNLP (11) AAAI (10) NAACL (8) CVPR (7) ICML (7) ECCV (7) NIPS (5) IJCAI (4) ICCV (4) IJCNLP (2) EACL (1) CORL (1) MICCAI (1) COLING (1) AISTATS (1) WACV (1)

Top co-authors

Jianfeng Gao (29) Xiaodong Liu (21) Hao Fang (9) Xing Sun (9) Kaidi Xu (7) Mari Ostendorf (7) Yang Liu (7) Ke Li (6) Renjing Xu (6) Michel Galley (5)

Keywords

large language model (5) open-domain question answering (4) neural network optimization (4) model compression (4) question answering (4) multi-task learning (4) adversarial training (4) language model (4) supervised fine-tuning (3) unsupervised learning (3) information retrieval (3) zero-shot learning (3) text generation (3) diffusion model (3) contrastive learning (3) deep neural network (3) representation learning (3) knowledge graph (3) image generation (3) adversarial attack (3)

Papers

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