Zhihong Zhu

56 papers · 2023–2026 · 13 conferences · across top CS/AI conferences

Achievements

🐣 Hot Topic Early Bird 🌉 Interdisciplinary Bridge 🧭 Keyword Pioneer 🌍 Conference Polyglot (13) 🐝 Cross-Pollinator (4) 🌈 Renaissance Researcher (10) 🗺️ Taxonomy Completionist (100) 🔬 Deep Specialist (14) 🤝 Dynamic Duo (31) ⚡ Prolific Year (11) 🗃️ Keyword Collector (213) 💎 Century Club (54) 🚀 Conference Pioneer ❓ The Questioner (2)

Conferences

EMNLP (17) ACL (8) INTERSPEECH (7) AAAI (6) COLING (6) ICLR (3) ICCV (2) MICCAI (2) CVPR (1) ECCV (1) IJCAI (1) NAACL (1) NIPS (1)

Top co-authors

Xuxin Cheng (31) Yuexian Zou (30) Hongxiang Li (16) Zhiqi Huang (15) Xianwei Zhuang (14) Xian Wu (14) Yaowei Li (11) Yunyan Zhang (10) Yefeng Zheng (9) Zhanpeng Chen (7)

Research topics

Understanding (1)

Keywords

spoken language understanding (14) contrastive learning (10) multimodal learning (8) large language model (8) slot filling (7) intent detection (6) task-oriented dialogue (5) automatic speech recognition (4) intent classification (4) optimal transport (4) zero-shot learning (4) attention mechanism (4) reinforcement learning (3) vision-language model (3) causal inference (3) pre-trained language model (3) multi-task learning (3) benchmark evaluation (3) cross-modal learning (3) cross-lingual transfer (3)

Papers

CMID: Towards Medical Visual Question Answering via Contrastive Mutual Information Decoding AAAI 2026

S³-MSD: Large Vision-Language Model for Explainable and Generalizable Multi-modal Sarcasm Detection AAAI 2026

CMedCalc-Bench: A Fine-Grained Benchmark for Chinese Medical Calculations in LLM EMNLP 2025

A Survey on Foundation Language Models for Single-cell Biology ACL 2025

Can We Trust AI Doctors? A Survey of Medical Hallucination in Large Language and Large Vision-Language Models ACL 2025

HTML: Hierarchical Topology Multi-task Learning for Semantic Parsing in Knowledge Base Question Answering ACL 2025

VASparse: Towards Efficient Visual Hallucination Mitigation via Visual-Aware Token Sparsification CVPR 2025

Harnessing Large Language Models for Knowledge Graph Question Answering via Adaptive Multi-Aspect Retrieval-Augmentation AAAI 2025

$\text{D}_{2}\text{O}$: Dynamic Discriminative Operations for Efficient Long-Context Inference of Large Language Models ICLR 2025

UniCoTT: A Unified Framework for Structural Chain-of-Thought Distillation ICLR 2025

DisPose: Disentangling Pose Guidance for Controllable Human Image Animation ICLR 2025

RTE-GMoE: A Model-agnostic Approach for Relation Triplet Extraction via Graph-based Mixture-of-Expert Mutual Learning EMNLP 2025

A Survey on Multi-modal Intent Recognition: Recent Advances and New Frontiers EMNLP 2025

KDProR: A Knowledge-Decoupling Probabilistic Framework for Video-Text Retrieval ECCV 2024

DGLF: A Dual Graph-based Learning Framework for Multi-modal Sarcasm Detection EMNLP 2024

Relevance Is a Guiding Light: Relevance-aware Adaptive Learning for End-to-end Task-oriented Dialogue System EMNLP 2024

MedJourney: Benchmark and Evaluation of Large Language Models over Patient Clinical Journey NIPS 2024

Dual-oriented Disentangled Network with Counterfactual Intervention for Multimodal Intent Detection EMNLP 2024

Game on Tree: Visual Hallucination Mitigation via Coarse-to-Fine View Tree and Game Theory EMNLP 2024

LOOK-M: Look-Once Optimization in KV Cache for Efficient Multimodal Long-Context Inference EMNLP 2024

UniMEEC: Towards Unified Multimodal Emotion Recognition and Emotion Cause EMNLP 2024

Mitigating Hallucinations of Large Language Models in Medical Information Extraction via Contrastive Decoding EMNLP 2024

Learning to Match Representations is Better for End-to-End Task-Oriented Dialog System EMNLP 2024

What are the Generator Preferences for End-to-end Task-Oriented Dialog System? EMNLP 2024

Towards Multi-Intent Spoken Language Understanding via Hierarchical Attention and Optimal Transport AAAI 2024

Exploiting Auxiliary Caption for Video Grounding AAAI 2024

Aligner²: Enhancing Joint Multiple Intent Detection and Slot Filling via Adjustive and Forced Cross-Task Alignment AAAI 2024

Code-Switching Can be Better Aligners: Advancing Cross-Lingual SLU through Representation-Level and Prediction-Level Alignment ACL 2024

Cyclical Contrastive Learning Based on Geodesic for Zero-shot Cross-lingual Spoken Language Understanding ACL 2024

MoE-SLU: Towards ASR-Robust Spoken Language Understanding via Mixture-of-Experts ACL 2024

Alignment before Awareness: Towards Visual Question Localized-Answering in Robotic Surgery via Optimal Transport and Answer Semantics COLING 2024

InfoEnh: Towards Multimodal Sentiment Analysis via Information Bottleneck Filter and Optimal Transport Alignment COLING 2024

Knowledge-enhanced Prompt Tuning for Dialogue-based Relation Extraction with Trigger and Label Semantic COLING 2024

Multi-perspective Improvement of Knowledge Graph Completion with Large Language Models COLING 2024

Towards Multi-modal Sarcasm Detection via Disentangled Multi-grained Multi-modal Distilling COLING 2024

Zero-Shot Spoken Language Understanding via Large Language Models: A Preliminary Study COLING 2024

TFCD: Towards Multi-modal Sarcasm Detection via Training-Free Counterfactual Debiasing IJCAI 2024

Audio-text Retrieval with Transformer-based Hierarchical Alignment and Disentangled Cross-modal Representation INTERSPEECH 2024

DiffATR: Diffusion-based Generative Modeling for Audio-Text Retrieval INTERSPEECH 2024

GPA: Global and Prototype Alignment for Audio-Text Retrieval INTERSPEECH 2024

Multivariate Cooperative Game for Image-Report Pairs: Hierarchical Semantic Alignment for Medical Report Generation MICCAI 2024

Textual Inversion and Self-supervised Refinement for Radiology Report Generation MICCAI 2024

AutoPRM: Automating Procedural Supervision for Multi-Step Reasoning via Controllable Question Decomposition NAACL 2024

ML-LMCL: Mutual Learning and Large-Margin Contrastive Learning for Improving ASR Robustness in Spoken Language Understanding ACL 2023

FC-MTLF: A Fine- and Coarse-grained Multi-Task Learning Framework for Cross-Lingual Spoken Language Understanding INTERSPEECH 2023

C²A-SLU: Cross and Contrastive Attention for Improving ASR Robustness in Spoken Language Understanding INTERSPEECH 2023

GhostT5: Generate More Features with Cheap Operations to Improve Textless Spoken Question Answering INTERSPEECH 2023

Mix before Align: Towards Zero-shot Cross-lingual Sentiment Analysis via Soft-Mix and Multi-View Learning INTERSPEECH 2023

Towards Unified Spoken Language Understanding Decoding via Label-aware Compact Linguistics Representations ACL 2023

Syntax Matters: Towards Spoken Language Understanding via Syntax-Aware Attention EMNLP 2023

MRRL: Modifying the Reference via Reinforcement Learning for Non-Autoregressive Joint Multiple Intent Detection and Slot Filling EMNLP 2023

Unify, Align and Refine: Multi-Level Semantic Alignment for Radiology Report Generation ICCV 2023

G2L: Semantically Aligned and Uniform Video Grounding via Geodesic and Game Theory ICCV 2023

Accelerating Multiple Intent Detection and Slot Filling via Targeted Knowledge Distillation EMNLP 2023

MCLF: A Multi-grained Contrastive Learning Framework for ASR-robust Spoken Language Understanding EMNLP 2023

Enhancing Code-Switching for Cross-lingual SLU: A Unified View of Semantic and Grammatical Coherence EMNLP 2023