Shanshan Zhong

41 papers A* 8A 1B 2Journal 22Unranked 8

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Agent Skills: A Data-Driven Analysis of Claude Skills for Extending Large Language Model Functionality. CoRR George Ling, Shanshan Zhong, Richard Huang
2026	J	`jnl`	Neural Chain-of-Thought Search: Searching the Optimal Reasoning Path to Enhance Large Language Models. CoRR Guoming Ling, Zhongzhan Huang, Yupei Lin, Junxin Li, Shanshan Zhong, Hefeng Wu, Liang Lin
2025	J	`jnl`	4D-Animal: Freely Reconstructing Animatable 3D Animals from Videos. CoRR Shanshan Zhong, Jiawei Peng, Zehan Zheng, Zhongzhan Huang, Wufei Ma, Guofeng Zhang, Qihao Liu, Alan L. Yuille, Jieneng Chen
2025	J	`jnl`	A Causality-Aware Paradigm for Evaluating Creativity of Multimodal Large Language Models. IEEE Trans. Pattern Anal. Mach. Intell. Zhongzhan Huang, Shanshan Zhong, Pan Zhou, Shanghua Gao, Marinka Zitnik, Liang Lin
2025	J	`jnl`	A Causality-aware Paradigm for Evaluating Creativity of Multimodal Large Language Models. CoRR Zhongzhan Huang, Shanshan Zhong, Pan Zhou, Shanghua Gao, Marinka Zitnik, Liang Lin
2025	A*	`conf`	AssoCiAm: A Benchmark for Evaluating Association Thinking while Circumventing Ambiguity. EMNLP Yifan Liu, Wenkuan Zhao, Shanshan Zhong, Jinghui Qin, Mingfu Liang, Zhongzhan Huang, Wushao Wen
2025	J	`jnl`	AssoCiAm: A Benchmark for Evaluating Association Thinking while Circumventing Ambiguity. CoRR Yifan Liu, Wenkuan Zhao, Shanshan Zhong, Jinghui Qin, Mingfu Liang, Zhongzhan Huang, Wushao Wen
2025	B	`conf`	DPHNet: A Dynamic Parallel Hybrid Network for Sitting Posture Recognition. SMC Shanshan Zhong, Shoudong Shi, Yongheng Tai, Ting Lan, Tianxiang Zhao, Kedi Qiu
2025	A*	`conf`	DVIB: Towards Robust Multimodal Recommender Systems via Variational Information Bottleneck Distillation. WWW Wenkuan Zhao, Shanshan Zhong, Yifan Liu, Wushao Wen, Jinghui Qin, Mingfu Liang, Zhongzhan Huang
2025	—	`conf`	Flat Local Minima for Continual Learning on Semantic Segmentation. MMM (1) Zhongzhan Huang, Mingfu Liang, Senwei Liang, Shanshan Zhong
2025	B	`conf`	KSINet: Keypoint-Enhanced Single-Head Inference for Sitting Posture Recognition. IJCNN Yongheng Tai, Shoudong Shi, Shanshan Zhong, Ting Lan, Tianxiang Zhao, Kedi Qiu
2025	—	`conf`	MiniLongBench: The Low-cost Long Context Understanding Benchmark for Large Language Models. ACL (1) Zhongzhan Huang, Guoming Ling, Shanshan Zhong, Hefeng Wu, Liang Lin
2025	J	`jnl`	MiniLongBench: The Low-cost Long Context Understanding Benchmark for Large Language Models. CoRR Zhongzhan Huang, Guoming Ling, Shanshan Zhong, Hefeng Wu, Liang Lin
2025	J	`jnl`	Multimodal Representation-disentangled Information Bottleneck for Multimodal Recommendation. CoRR Hui Wang, Jinghui Qin, Wushao Wen, Qingling Li, Shanshan Zhong, Zhongzhan Huang
2025	—	`conf`	RouterEval: A Comprehensive Benchmark for Routing LLMs to Explore Model-level Scaling Up in LLMs. EMNLP (Findings) Zhongzhan Huang, Guoming Ling, Yupei Lin, Yandong Chen, Shanshan Zhong, Hefeng Wu, Liang Lin
2025	J	`jnl`	RouterEval: A Comprehensive Benchmark for Routing LLMs to Explore Model-level Scaling Up in LLMs. CoRR Zhongzhan Huang, Guoming Ling, Vincent S. Liang, Yupei Lin, Yandong Chen, Shanshan Zhong, Hefeng Wu, Liang Lin
2025	J	`jnl`	What Generative Search Engines Like and How to Optimize Web Content Cooperatively. CoRR Yujiang Wu, Shanshan Zhong, Yubin Kim, Chenyan Xiong
2024	A*	`conf`	AttNS: Attention-Inspired Numerical Solving For Limited Data Scenarios. ICML Zhongzhan Huang, Mingfu Liang, Shanshan Zhong, Liang Lin
2024	—	`conf`	DEEPAM: Toward Deeper Attention Module in Residual Convolutional Neural Networks. ICANN (1) Shanshan Zhong, Wushao Wen, Jinghui Qin, Zhongzhan Huang
2024	A*	`conf`	Let's Think Outside the Box: Exploring Leap-of-Thought in Large Language Models with Creative Humor Generation. CVPR Shanshan Zhong, Zhongzhan Huang, Shanghua Gao, Wushao Wen, Liang Lin, Marinka Zitnik, Pan Zhou
2024	A*	`conf`	Mirror Gradient: Towards Robust Multimodal Recommender Systems via Exploring Flat Local Minima. WWW Shanshan Zhong, Zhongzhan Huang, Daifeng Li, Wushao Wen, Jinghui Qin, Liang Lin
2024	J	`jnl`	Mirror Gradient: Towards Robust Multimodal Recommender Systems via Exploring Flat Local Minima. CoRR Shanshan Zhong, Zhongzhan Huang, Daifeng Li, Wushao Wen, Jinghui Qin, Liang Lin
2024	—	`conf`	MoExtend: Tuning New Experts for Modality and Task Extension. ACL (Student Research Workshop) Shanshan Zhong, Shanghua Gao, Zhongzhan Huang, Wushao Wen, Marinka Zitnik, Pan Zhou
2024	J	`jnl`	MoExtend: Tuning New Experts for Modality and Task Extension. CoRR Shanshan Zhong, Shanghua Gao, Zhongzhan Huang, Wushao Wen, Marinka Zitnik, Pan Zhou
2024	—	`conf`	Stripe Observation Guided Inference Cost-Free Attention Mechanism. ECCV (24) Zhongzhan Huang, Shanshan Zhong, Wushao Wen, Jinghui Qin, Liang Lin
2023	J	`jnl`	ASR: Attention-alike Structural Re-parameterization. CoRR Shanshan Zhong, Zhongzhan Huang, Wushao Wen, Jinghui Qin, Liang Lin
2023	J	`jnl`	ESA: Excitation-Switchable Attention for convolutional neural networks. Neurocomputing Shanshan Zhong, Zhongzhan Huang, Wushao Wen, Zhijing Yang, Jinghui Qin
2023	A	`conf`	LSAS: Lightweight Sub-attention Strategy for Alleviating Attention Bias Problem. ICME Shanshan Zhong, Wushao Wen, Jinghui Qin, Qiangpu Chen, Zhongzhan Huang
2023	J	`jnl`	LSAS: Lightweight Sub-attention Strategy for Alleviating Attention Bias Problem. CoRR Shanshan Zhong, Wushao Wen, Jinghui Qin, Qiangpu Chen, Zhongzhan Huang
2023	J	`jnl`	Let's Think Outside the Box: Exploring Leap-of-Thought in Large Language Models with Creative Humor Generation. CoRR Shanshan Zhong, Zhongzhan Huang, Shanghua Gao, Wushao Wen, Liang Lin, Marinka Zitnik, Pan Zhou
2023	—	`conf`	SPEM: Self-adaptive Pooling Enhanced Attention Module for Image Recognition. MMM (2) Shanshan Zhong, Wushao Wen, Jinghui Qin
2023	A*	`conf`	SUR-adapter: Enhancing Text-to-Image Pre-trained Diffusion Models with Large Language Models. ACM Multimedia Shanshan Zhong, Zhongzhan Huang, Wushao Wen, Jinghui Qin, Liang Lin
2023	J	`jnl`	SUR-adapter: Enhancing Text-to-Image Pre-trained Diffusion Models with Large Language Models. CoRR Shanshan Zhong, Zhongzhan Huang, Wushao Wen, Jinghui Qin, Liang Lin
2023	A*	`conf`	Understanding Self-attention Mechanism via Dynamical System Perspective. ICCV Zhongzhan Huang, Mingfu Liang, Jinghui Qin, Shanshan Zhong, Liang Lin
2023	J	`jnl`	Understanding Self-attention Mechanism via Dynamical System Perspective. CoRR Zhongzhan Huang, Mingfu Liang, Jinghui Qin, Shanshan Zhong, Liang Lin
2022	A*	`conf`	CEM: Machine-Human Chatting Handoff via Causal-Enhance Module. EMNLP Shanshan Zhong, Jinghui Qin, Zhongzhan Huang, Daifeng Li
2022	J	`jnl`	Causal Inference for Chatting Handoff. CoRR Shanshan Zhong, Jinghui Qin, Zhongzhan Huang, Daifeng Li
2022	J	`jnl`	Deepening Neural Networks Implicitly and Locally via Recurrent Attention Strategy. CoRR Shanshan Zhong, Wushao Wen, Jinghui Qin, Zhongzhan Huang
2022	J	`jnl`	Mix-Pooling Strategy for Attention Mechanism. CoRR Shanshan Zhong, Wushao Wen, Jinghui Qin
2022	J	`jnl`	Switchable Self-attention Module. CoRR Shanshan Zhong, Wushao Wen, Jinghui Qin
2021	—	`conf`	AB-ALSTM Model for Autism Early Warning Based on Behavioral Characteristics. ICMLSC Shanshan Zhong, Jiaye Lin, Dayu Huang, Manning Lu, Daifeng Li