Zebang Cheng

Orcid: 0009-0005-7093-1091

According to our database1, Zebang Cheng authored at least 17 papers between 2023 and 2025.

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Bibliography

2025
MME-Emotion: A Holistic Evaluation Benchmark for Emotional Intelligence in Multimodal Large Language Models.
CoRR, August, 2025

EMER-Ranker: Learning to Rank Emotion Descriptions in the Absence of Ground Truth.
CoRR, July, 2025

Emotion-Qwen: Training Hybrid Experts for Unified Emotion and General Vision-Language Understanding.
CoRR, May, 2025

MER 2025: When Affective Computing Meets Large Language Models.
CoRR, April, 2025

HA-VLN: A Benchmark for Human-Aware Navigation in Discrete-Continuous Environments with Dynamic Multi-Human Interactions, Real-World Validation, and an Open Leaderboard.
CoRR, March, 2025

AffectGPT: A New Dataset, Model, and Benchmark for Emotion Understanding with Multimodal Large Language Models.
CoRR, January, 2025

Energy and synchronization of multifunctional loop neural networks.
Neurocomputing, 2025

Why We Feel: Breaking Boundaries in Emotional Reasoning with Multimodal Large Language Models.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2025

DREAM: Decoupled Discriminative Learning with Bigraph-aware Alignment for Semi-supervised 2D-3D Cross-modal Retrieval.
Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025

2024
Emotion-LLaMA: Multimodal Emotion Recognition and Reasoning with Instruction Tuning.
CoRR, 2024

MIPS at SemEval-2024 Task 3: Multimodal Emotion-Cause Pair Extraction in Conversations with Multimodal Language Models.
Proceedings of the 18th International Workshop on Semantic Evaluation, 2024

Emotion-LLaMA: Multimodal Emotion Recognition and Reasoning with Instruction Tuning.
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

SZTU-CMU at MER2024: Improving Emotion-LLaMA with Conv-Attention for Multimodal Emotion Recognition.
Proceedings of the 2nd International Workshop on Multimodal and Responsible Affective Computing, 2024

Multimodal Multi-turn Conversation Stance Detection: A Challenge Dataset and Effective Model.
Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024


2023
An efficient joint framework for interacting knowledge graph and item recommendation.
Knowl. Inf. Syst., April, 2023

Semi-Supervised Multimodal Emotion Recognition with Expression MAE.
Proceedings of the 31st ACM International Conference on Multimedia, 2023


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