← Authors

Chao Zhang

220 papers · 2009–2026 · 17 conferences · across top CS/AI conferences

Achievements

🧭 Keyword Pioneer 🐝 Cross-Pollinator (13) πŸƒ Academic Marathon (16) 🌍 Conference Polyglot (17) 🐣 Hot Topic Early Bird 🌈 Renaissance Researcher (9) πŸŒ‰ Interdisciplinary Bridge πŸ—ΊοΈ Taxonomy Completionist (43) 🌟 Keyword Trendsetter Combo (4) 🏠 Conference Loyalist (28) πŸ† Keyword Champion 🀝 Dynamic Duo (23) πŸ† Grand Slam πŸ‘‘ Triple Crown πŸ‘₯ Mega-Team (34) πŸ”¬ Deep Specialist (21) πŸ—ƒοΈ Keyword Collector (134) πŸ”₯ Unstoppable (17) πŸš€ Conference Pioneer πŸ’Ž Century Club (209) ❓ The Questioner (2) πŸ“ˆ Trend Setter ⚑ Prolific Year (31)

Conferences

AAAI (29) NIPS (28) EMNLP (26) ACL (24) INTERSPEECH (24) CVPR (17) ICML (15) IJCAI (11) ICLR (11) ICCV (11) NAACL (9) AISTATS (6) IJCNLP (3) ECCV (2) EACL (2) COLING (1) UAI (1)

Top co-authors

Hui Qian (24) Yue Yu (22) Yuchen Zhuang (21) Lingkai Kong (15) Guangzhi Sun (14) Zebang Shen (12) Rongzhi Zhang (10) Haoming Jiang (10) Hanbin Zhao (10) Bing Yin (10)

Research topics

Security & Privacy (1)

Keywords

large language model (23) automatic speech recognition (10) uncertainty quantification (9) model compression (8) named entity recognition (8) contrastive learning (8) question answering (7) multimodal learning (7) speech recognition (7) reinforcement learning (7) diffusion model (7) graph neural network (7) bayesian inference (6) few-shot learning (6) convolutional neural network (6) text classification (6) knowledge distillation (6) transfer learning (5) object detection (5) vision transformer (5)

Papers

Semantic-Augmented Image Clustering via Adaptive Multi-Modal Collaboration AAAI 2026
Mamba-Driven Multi-View Discriminative Clustering via Global-Local Cross-View Sequence Modeling AAAI 2026
Look as You Think: Unifying Reasoning and Visual Evidence Attribution for Verifiable Document RAG via Reinforcement Learning AAAI 2026
RFKG-CoT: Relation-Driven Adaptive Hop-count Selection and Few-Shot Path Guidance for Knowledge-Aware QA AAAI 2026
WorkForceAgent-R1: Incentivizing Reasoning Capability in LLM-based Web Agents via Reinforcement Learning EACL 2026
BDLF-Qwen3: Enhanced Cross-Architecture Binary Function Similarity Detection Through Binary Dynamic Layer Fusion AAAI 2026
MMAU-Pro: A Challenging and Comprehensive Benchmark for Holistic Evaluation of Audio General Intelligence AAAI 2026
Semantic-Aware Feature Enhancement for Partial Label Learning AAAI 2026
Mass Concept Erasure in Diffusion Models with Concept Hierarchy AAAI 2026
BrainHGT: A Hierarchical Graph Transformer for Interpretable Brain Network Analysis AAAI 2026
Online Cross-Modal Hashing with Expanding Label Space AAAI 2026
DORM: Preference Data Weights Optimization for Reward Modeling in LLM Alignment EMNLP 2025
Hybrid Layout Control for Diffusion Transformer: Fewer Annotations, Superior Aesthetics ICCV 2025
FG-OrIU: Towards Better Forgetting via Feature-Gradient Orthogonality for Incremental Unlearning ICCV 2025
Dataset Distillation via Vision-Language Category Prototype ICCV 2025
Unleashing High-Quality Image Generation in Diffusion Sampling Using Second-Order Levenberg-Marquardt-Langevin ICCV 2025
Think Wider, Detect Sharper: Reinforced Reference Coverage for Document-Level Self-Contradiction Detection EMNLP 2025
Audio-centric Video Understanding Benchmark without Text Shortcut EMNLP 2025
WebAgent-R1: Training Web Agents via End-to-End Multi-Turn Reinforcement Learning EMNLP 2025
Minimal, Local, and Robust: Embedding-Only Edits for Implicit Bias in T2I Models EMNLP 2025
β€œI’ve Decided to Leak”: Probing Internals Behind Prompt Leakage Intents EMNLP 2025
Video2Roleplay: A Multimodal Dataset and Framework for Video-Guided Role-playing Agents EMNLP 2025
MASTER: Multi-Agent Security Through Exploration of Roles and Topological Structures - A Comprehensive Framework EMNLP 2025
DecoupledESC: Enhancing Emotional Support Generation via Strategy-Response Decoupled Preference Optimization EMNLP 2025
Adapting LLM Agents with Universal Communication Feedback NAACL 2025
Self-Generated Critiques Boost Reward Modeling for Language Models NAACL 2025
Hephaestus: Improving Fundamental Agent Capabilities of Large Language Models through Continual Pre-Training NAACL 2025
TextToucher: Fine-Grained Text-to-Touch Generation AAAI 2025
MMGDreamer: Mixed-Modality Graph for Geometry-Controllable 3D Indoor Scene Generation AAAI 2025
Fast Incomplete Multi-view Clustering with Adaptive Similarity Completion and Reconstruction AAAI 2025
Incomplete Multi-view Clustering via Diffusion Contrastive Generation AAAI 2025
DF$^2$: Distribution-Free Decision-Focused Learning UAI 2025
DNCASR: End-to-End Training for Speaker-Attributed ASR ACL 2025
AutoMixAlign: Adaptive Data Mixing for Multi-Task Preference Optimization in LLMs ACL 2025
QualiSpeech: A Speech Quality Assessment Dataset with Natural Language Reasoning and Descriptions ACL 2025
Streamlining the Collaborative Chain of Models into A Single Forward Pass in Generation-Based Tasks ACL 2025
Review-Instruct: A Review-Driven Multi-Turn Conversations Generation Method for Large Language Models ACL 2025
DecompileBench: A Comprehensive Benchmark for Evaluating Decompilers in Real-World Scenarios ACL 2025
RenderBender: A Survey on Adversarial Attacks Using Differentiable Rendering IJCAI 2025
Community-Aware Graph Transformer for Brain Disorder Identification IJCAI 2025
Diffusion Models as Constrained Samplers for Optimization with Unknown Constraints AISTATS 2025
Cowpox: Towards the Immunity of VLM-based Multi-Agent Systems ICML 2025
Efficiently Access Diffusion Fisher: Within the Outer Product Span Space ICML 2025
LLM-Augmented Chemical Synthesis and Design Decision Programs ICML 2025
video-SALMONN-o1: Reasoning-enhanced Audio-visual Large Language Model ICML 2025
Improving LLM Video Understanding with 16 Frames Per Second ICML 2025
Ensembles of Low-Rank Expert Adapters ICLR 2025
A Benchmark for Semantic Sensitive Information in LLMs Outputs ICLR 2025
Your Scale Factors are My Weapon: Targeted Bit-Flip Attacks on Vision Transformers via Scale Factor Manipulation CVPR 2025
Efficient Evolutionary Search Over Chemical Space with Large Language Models ICLR 2025
An Engorgio Prompt Makes Large Language Model Babble on ICLR 2025
Bayesian WeakS-to-Strong from Text Classification to Generation ICLR 2025
Audio Large Language Models Can Be Descriptive Speech Quality Evaluators ICLR 2025
Bayesian Example Selection Improves In-Context Learning for Speech, Text and Visual Modalities EMNLP 2024
EAGLE-2: Faster Inference of Language Models with Dynamic Draft Trees EMNLP 2024
Retrieve-Plan-Generation: An Iterative Planning and Answering Framework for Knowledge-Intensive LLM Generation EMNLP 2024
Handling Ambiguity in Emotion: From Out-of-Domain Detection to Distribution Estimation ACL 2024
Virtual Compiler Is All You Need For Assembly Code Search ACL 2024
ARL2: Aligning Retrievers with Black-box Large Language Models via Self-guided Adaptive Relevance Labeling ACL 2024
M3AV: A Multimodal, Multigenre, and Multipurpose Audio-Visual Academic Lecture Dataset ACL 2024
Explanation-aware Soft Ensemble Empowers Large Language Model In-context Learning ACL 2024
Modelling Variability in Human Annotator Simulation ACL 2024
Speech-based Slot Filling using Large Language Models ACL 2024
PLaD: Preference-based Large Language Model Distillation with Pseudo-Preference Pairs ACL 2024
ProgGen: Generating Named Entity Recognition Datasets Step-by-step with Self-Reflexive Large Language Models ACL 2024
BBox-Adapter: Lightweight Adapting for Black-Box Large Language Models ICML 2024
video-SALMONN: Speech-Enhanced Audio-Visual Large Language Models ICML 2024
Time-Series Forecasting for Out-of-Distribution Generalization Using Invariant Learning ICML 2024
EAGLE: Speculative Sampling Requires Rethinking Feature Uncertainty ICML 2024
GeminiFusion: Efficient Pixel-wise Multimodal Fusion for Vision Transformer ICML 2024
Large Language Models are Efficient Learners of Noise-Robust Speech Recognition ICLR 2024
SOT Triggered Neural Clustering for Speaker Attributed ASR INTERSPEECH 2024
SALMONN: Towards Generic Hearing Abilities for Large Language Models ICLR 2024
Self-Taught Recognizer: Toward Unsupervised Adaptation for Speech Foundation Models NIPS 2024
Continual Multi-View Clustering with Consistent Anchor Guidance IJCAI 2024
Time-MMD: Multi-Domain Multimodal Dataset for Time Series Analysis NIPS 2024
HYDRA: Model Factorization Framework for Black-Box LLM Personalization NIPS 2024
RankRAG: Unifying Context Ranking with Retrieval-Augmented Generation in LLMs NIPS 2024
An Improved Empirical Fisher Approximation for Natural Gradient Descent NIPS 2024
Two Birds with One Stone: Enhancing Uncertainty Quantification and Interpretability with Graph Functional Neural Process AISTATS 2024
D-LLM: A Token Adaptive Computing Resource Allocation Strategy for Large Language Models NIPS 2024
Semantic Map-based Generation of Navigation Instructions COLING 2024
POLYIE: A Dataset of Information Extraction from Polymer Material Scientific Literature NAACL 2024
Assessing Logical Puzzle Solving in Large Language Models: Insights from a Minesweeper Case Study NAACL 2024
Can Large Language Models Understand Spatial Audio? INTERSPEECH 2024
Confidence Estimation for Automatic Detection of Depression and Alzheimer’s Disease Based on Clinical Interviews INTERSPEECH 2024
Solving Zero-Sum Markov Games with Continuous State via Spectral Dynamic Embedding NIPS 2024
BELM: Bidirectional Explicit Linear Multi-step Sampler for Exact Inversion in Diffusion Models NIPS 2024
Aligning Large Language Models with Representation Editing: A Control Perspective NIPS 2024
A Simple but Effective Approach to Improve Structured Language Model Output for Information Extraction EMNLP 2024
Mask-Homo: Pseudo Plane Mask-Guided Unsupervised Multi-Homography Estimation AAAI 2024
Towards Modeling Uncertainties of Self-Explaining Neural Networks via Conformal Prediction AAAI 2024
GAD-PVI: A General Accelerated Dynamic-Weight Particle-Based Variational Inference Framework AAAI 2024
Learning Cluster-Wise Anchors for Multi-View Clustering AAAI 2024
APISR: Anime Production Inspired Real-World Anime Super-Resolution CVPR 2024
DiaLoc: An Iterative Approach to Embodied Dialog Localization CVPR 2024
ToolChain*: Efficient Action Space Navigation in Large Language Models with A* Search ICLR 2024
HiGen: Hierarchy-Aware Sequence Generation for Hierarchical Text Classification EACL 2024
Spontaneous Speech-Based Suicide Risk Detection Using Whisper and Large Language Models INTERSPEECH 2024
Whisper-PMFA: Partial Multi-Scale Feature Aggregation for Speaker Verification using Whisper Models INTERSPEECH 2024
SAML: Speaker Adaptive Mixture of LoRA Experts for End-to-End ASR INTERSPEECH 2024
Data Diversity Matters for Robust Instruction Tuning EMNLP 2024
RAIN: Your Language Models Can Align Themselves without Finetuning ICLR 2024
BMRetriever: Tuning Large Language Models as Better Biomedical Text Retrievers EMNLP 2024
Integrating Emotion Recognition with Speech Recognition and Speaker Diarisation for Conversations INTERSPEECH 2023
Rank-DETR for High Quality Object Detection NIPS 2023
ToolQA: A Dataset for LLM Question Answering with External Tools NIPS 2023
Large Language Model as Attributed Training Data Generator: A Tale of Diversity and Bias NIPS 2023
AdaPlanner: Adaptive Planning from Feedback with Language Models NIPS 2023
Robust Multi-Agent Reinforcement Learning via Adversarial Regularization: Theoretical Foundation and Stable Algorithms NIPS 2023
May the Force be with You: Unified Force-Centric Pre-Training for 3D Molecular Conformations NIPS 2023
CDMA: A Practical Cross-Device Federated Learning Algorithm for General Minimax Problems AAAI 2023
Towards Optimal Randomized Strategies in Adversarial Example Game AAAI 2023
Neighborhood-Regularized Self-Training for Learning with Few Labels AAAI 2023
Enhanced Tensor Low-Rank and Sparse Representation Recovery for Incomplete Multi-View Clustering AAAI 2023
Cold-Start Data Selection for Better Few-shot Language Model Fine-tuning: A Prompt-based Uncertainty Propagation Approach ACL 2023
Estimating the Uncertainty in Emotion Attributes using Deep Evidential Regression ACL 2023
Context-Aware Query Rewriting for Improving Users’ Search Experience on E-commerce Websites ACL 2023
Graph Reasoning for Question Answering with Triplet Retrieval ACL 2023
Extracting Shopping Interest-Related Product Types from the Web ACL 2023
ReGen: Zero-Shot Text Classification via Training Data Generation with Progressive Dense Retrieval ACL 2023
DETRs With Hybrid Matching CVPR 2023
Boosting Low-Data Instance Segmentation by Unsupervised Pre-Training With Saliency Prompt CVPR 2023
Knowledge-Selective Pretraining for Attribute Value Extraction EMNLP 2023
Improving Consistency for Text Summarization with Energy Functions EMNLP 2023
TrajectoryFormer: 3D Object Tracking Transformer with Predictive Trajectory Hypotheses ICCV 2023
One-bit Flip is All You Need: When Bit-flip Attack Meets Model Training ICCV 2023
Robust Graph Dictionary Learning ICLR 2023
Model-Aware Contrastive Learning: Towards Escaping the Dilemmas ICML 2023
Autoregressive Diffusion Model for Graph Generation ICML 2023
SMURF-THP: Score Matching-based UnceRtainty quantiFication for Transformer Hawkes Process ICML 2023
Obstructive Sleep Apnea Detection using Pre-trained Speech Representations INTERSPEECH 2023
Pushing the Limits of Unsupervised Unit Discovery for SSL Speech Representation INTERSPEECH 2023
Can Contextual Biasing Remain Effective with Whisper and GPT-2? INTERSPEECH 2023
A Neural Time Alignment Module for End-to-End Automatic Speech Recognition INTERSPEECH 2023
PRBoost: Prompt-Based Rule Discovery and Boosting for Interactive Weakly-Supervised Learning ACL 2022
Tandem Multitask Training of Speaker Diarisation and Speech Recognition for Meeting Transcription INTERSPEECH 2022
Streaming End-to-End Multilingual Speech Recognition with Joint Language Identification INTERSPEECH 2022
Tree-constrained Pointer Generator with Graph Neural Network Encodings for Contextual Speech Recognition INTERSPEECH 2022
Turn-Taking Prediction for Natural Conversational Speech INTERSPEECH 2022
DPVI: A Dynamic-Weight Particle-Based Variational Inference Framework IJCAI 2022
UnfoldML: Cost-Aware and Uncertainty-Based Dynamic 2D Prediction for Multi-Stage Classification NIPS 2022
FlowFormer: A Transformer Architecture for Optical Flow ECCV 2022
Learning Efficient Vision Transformers via Fine-Grained Manifold Distillation NIPS 2022
Learning a Structured Latent Space for Unsupervised Point Cloud Completion CVPR 2022
Recurring the Transformer for Video Action Recognition CVPR 2022
End-to-end Stochastic Optimization with Energy-based Model NIPS 2022
Expediting Large-Scale Vision Transformer for Dense Prediction without Fine-tuning NIPS 2022
ReSel: N-ary Relation Extraction from Scientific Text and Tables by Learning to Retrieve and Select EMNLP 2022
COCO-DR: Combating the Distribution Shift in Zero-Shot Dense Retrieval with Contrastive and Distributionally Robust Learning EMNLP 2022
Self-Training with Differentiable Teacher NAACL 2022
Abandoning the Bayer-Filter To See in the Dark CVPR 2022
PLATO-Ad: A Unified Advertisement Text Generation Framework with Multi-Task Prompt Learning EMNLP 2022
RoChBert: Towards Robust BERT Fine-tuning for Chinese EMNLP 2022
AcTune: Uncertainty-Based Active Self-Training for Active Fine-Tuning of Pretrained Language Models NAACL 2022
CERES: Pretraining of Graph-Conditioned Transformer for Semi-Structured Session Data NAACL 2022
From One to All: Learning to Match Heterogeneous and Partially Overlapped Graphs AAAI 2022
FORCE: A Framework of Rule-Based Conversational Recommender System AAAI 2022
SHPOS: A Theoretical Guaranteed Accelerated Particle Optimization Sampling Method IJCAI 2021
Learning from Language Description: Low-shot Named Entity Recognition via Decomposed Framework EMNLP 2021
HRFormer: High-Resolution Vision Transformer for Dense Predict NIPS 2021
Transfer Learning of Graph Neural Networks with Ego-graph Information Maximization NIPS 2021
Semantic Scene Completion via Integrating Instances and Scene In-the-Loop CVPR 2021
Positive-Unlabeled Data Purification in the Wild for Object Detection CVPR 2021
When in Doubt: Neural Non-Parametric Uncertainty Quantification for Epidemic Forecasting NIPS 2021
BERTifying the Hidden Markov Model for Multi-Source Weakly Supervised Named Entity Recognition IJCNLP 2021
Variable Frame Rate Acoustic Models Using Minimum Error Reinforcement Learning INTERSPEECH 2021
BERTifying the Hidden Markov Model for Multi-Source Weakly Supervised Named Entity Recognition ACL 2021
Fine-Tuning Pre-trained Language Model with Weak Supervision: A Contrastive-Regularized Self-Training Approach NAACL 2021
A Hybrid Stochastic Gradient Hamiltonian Monte Carlo Method AAAI 2021
Density-Aware Feature Embedding for Face Clustering CVPR 2020
SDE-Net: Equipping Deep Neural Networks with Uncertainty Estimates ICML 2020
Text Classification Using Label Names Only: A Language Model Self-Training Approach EMNLP 2020
SeqMix: Augmenting Active Sequence Labeling via Sequence Mixup EMNLP 2020
Calibrated Language Model Fine-Tuning for In- and Out-of-Distribution Data EMNLP 2020
Accelerating Primal Solution Findings for Mixed Integer Programs Based on Solution Prediction AAAI 2020
Efficient Projection-Free Online Methods with Stochastic Recursive Gradient AAAI 2020
Accelerating Stratified Sampling SGD by Reconstructing Strata IJCAI 2020
Argot: Generating Adversarial Readable Chinese Texts IJCAI 2020
Efficient WaveGlow: An Improved WaveGlow Vocoder with Enhanced Speed INTERSPEECH 2020
The JD AI Speaker Verification System for the FFSVC 2020 Challenge INTERSPEECH 2020
Improving Replay Detection System with Channel Consistency DenseNeXt for the ASVspoof 2019 Challenge INTERSPEECH 2020
Sound Event Localization and Detection Based on Multiple DOA Beamforming and Multi-Task Learning INTERSPEECH 2020
Aggregated Gradient Langevin Dynamics AAAI 2020
Denoising Multi-Source Weak Supervision for Neural Text Classification EMNLP 2020
Self-Adaptive Training: beyond Empirical Risk Minimization NIPS 2020
Hit-Detector: Hierarchical Trinity Architecture Search for Object Detection CVPR 2020
Decentralized Gradient Tracking for Continuous DR-Submodular Maximization AISTATS 2019
Multi-Span Acoustic Modelling Using Raw Waveform Signals INTERSPEECH 2019
Direct-Path Signal Cross-Correlation Estimation for Sound Source Localization in Reverberation INTERSPEECH 2019
Spherical Text Embedding NIPS 2019
C3AE: Exploring the Limits of Compact Model for Age Estimation CVPR 2019
Weakly-Supervised Hierarchical Text Classification AAAI 2019
A Gradual, Semi-Discrete Approach to Generative Network Training via Explicit Wasserstein Minimization ICML 2019
Deep Joint-Semantics Reconstructing Hashing for Large-Scale Unsupervised Cross-Modal Retrieval ICCV 2019
Orientation-Aware Semantic Segmentation on Icosahedron Spheres ICCV 2019
Beyond Human Parts: Dual Part-Aligned Representations for Person Re-Identification ICCV 2019
Towards Memory-Friendly Deterministic Incremental Gradient Method AISTATS 2018
JUMP: a Jointly Predictor for User Click and Dwell Time IJCAI 2018
Joint Sub-bands Learning with Clique Structures for Wavelet Domain Super-Resolution NIPS 2018
Semi-tied Units for Efficient Gating in LSTM and Highway Networks INTERSPEECH 2018
Speaker Adaptation and Adaptive Training for Jointly Optimised Tandem Systems INTERSPEECH 2018
Sparse DNNs with Improved Adversarial Robustness NIPS 2018
Factorizable Net: An Efficient Subgraph-based Framework for Scene Graph Generation ECCV 2018
Learning Environmental Calibration Actions for Policy Self-Evolution IJCAI 2018
Greedy Hash: Towards Fast Optimization for Accurate Hash Coding in CNN NIPS 2018
Detailed, Accurate, Human Shape Estimation From Clothed 3D Scan Sequences CVPR 2017
Hard-Aware Deeply Cascaded Embedding ICCV 2017
Accelerated Doubly Stochastic Gradient Algorithm for Large-scale Empirical Risk Minimization IJCAI 2017
Tensor Completion with Side Information: A Riemannian Manifold Approach IJCAI 2017
Functional Faces: Groupwise Dense Correspondence Using Functional Maps CVPR 2016
Shell PCA: Statistical Shape Modelling in Shell Space ICCV 2015
Discrete Hyper-Graph Matching CVPR 2015
A Study on Cross-Population Age Estimation CVPR 2014
Bootstrapping Large-scale Named Entities using URL-Text Hybrid Patterns IJCNLP 2013
Generalization Bounds for Domain Adaptation NIPS 2012
Generalization Bound for Infinitely Divisible Empirical Process AISTATS 2011
Risk Bounds for Levy Processes in the PAC-Learning Framework AISTATS 2010
Query Segmentation Based on Eigenspace Similarity IJCNLP 2009
Query Segmentation Based on Eigenspace Similarity ACL 2009