Zhongzhan Huang

59 papers A* 14A 2Misc 1Journal 35Unranked 7

Year	Rank	Type	Title / Venue / Authors
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	J	`jnl`	A generic shared attention mechanism for various backbone neural networks. Neurocomputing Zhongzhan Huang, Senwei Liang, Mingfu Liang
2025	Misc	`conf`	Anima ICASSP Yuanfeng Xu, Yuhao Chen, Zhongzhan Huang, Zijian He, Guangrun Wang, 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	J	`jnl`	BridgeDrive: Diffusion Bridge Policy for Closed-Loop Trajectory Planning in Autonomous Driving. CoRR Shu Liu, Wenlin Chen, Weihao Li, Zheng Wang, Lijin Yang, Jianing Huang, Yipin Zhang, Zhongzhan Huang, Ze Cheng, Hao Yang
2025	J	`jnl`	Continuous Value Assignment: A Doubly Robust Data Augmentation for Off-Policy Learning. IEEE Trans. Neural Networks Learn. Syst. Junfan Lin, Zhongzhan Huang, Keze Wang, Lingbo Liu, Liang Lin
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	—	`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
2024	J	`jnl`	An Introspective Data Augmentation Method for Training Math Word Problem Solvers. IEEE ACM Trans. Audio Speech Lang. Process. Jinghui Qin, Zhongzhan Huang, Ying Zeng, Quanshi Zhang, Liang Lin
2024	J	`jnl`	AnimateZoo: Zero-shot Video Generation of Cross-Species Animation via Subject Alignment. CoRR Yuanfeng Xu, Yuhao Chen, Zhongzhan Huang, Zijian He, Guangrun Wang, Philip Torr, Liang Lin
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`	Lottery Ticket Hypothesis for Attention Mechanism in Residual Convolutional Neural Network ICME Zhongzhan Huang, Senwei Liang, Mingfu Liang, Wei He, Haizhao Yang, Liang Lin
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	J	`jnl`	On Robust Numerical Solver for ODE via Self-Attention Mechanism. CoRR Zhongzhan Huang, Mingfu Liang, Liang Lin
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`	ScaleLong: Towards More Stable Training of Diffusion Model via Scaling Network Long Skip Connection. NeurIPS Zhongzhan Huang, Pan Zhou, Shuicheng Yan, Liang Lin
2023	J	`jnl`	ScaleLong: Towards More Stable Training of Diffusion Model via Scaling Network Long Skip Connection. CoRR Zhongzhan Huang, Pan Zhou, Shuicheng Yan, 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	J	`jnl`	Accelerating Numerical Solvers for Large-Scale Simulation of Dynamical System via NeurVec. CoRR Zhongzhan Huang, Senwei Liang, Hong Zhang, Haizhao Yang, 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`	Layer-wise Shared Attention Network on Dynamical System Perspective. CoRR Zhongzhan Huang, Senwei Liang, Mingfu Liang, Weiling He, Liang Lin
2022	A*	`conf`	Stiffness-aware neural network for learning Hamiltonian systems. ICLR Senwei Liang, Zhongzhan Huang, Hong Zhang
2022	J	`jnl`	The Lottery Ticket Hypothesis for Self-attention in Convolutional Neural Network. CoRR Zhongzhan Huang, Senwei Liang, Mingfu Liang, Wei He, Haizhao Yang, Liang Lin
2021	J	`jnl`	AlterSGD: Finding Flat Minima for Continual Learning by Alternative Training. CoRR Zhongzhan Huang, Mingfu Liang, Senwei Liang, Wei He
2021	—	`conf`	Blending Pruning Criteria for Convolutional Neural Networks. ICANN (4) Wei He, Zhongzhan Huang, Mingfu Liang, Senwei Liang, Haizhao Yang
2021	J	`jnl`	Blending Pruning Criteria for Convolutional Neural Networks. CoRR Wei He, Zhongzhan Huang, Mingfu Liang, Senwei Liang, Haizhao Yang
2021	A*	`conf`	Continuous Transition: Improving Sample Efficiency for Continuous Control Problems via MixUp. ICRA Junfan Lin, Zhongzhan Huang, Keze Wang, Xiaodan Liang, Weiwei Chen, Liang Lin
2021	A*	`conf`	Rethinking the Pruning Criteria for Convolutional Neural Network. NeurIPS Zhongzhan Huang, Wenqi Shao, Xinjiang Wang, Liang Lin, Ping Luo
2020	J	`jnl`	Continuous Transition: Improving Sample Efficiency for Continuous Control Problems via MixUp. CoRR Junfan Lin, Zhongzhan Huang, Keze Wang, Xiaodan Liang, Weiwei Chen, Liang Lin
2020	J	`jnl`	Convolution-Weight-Distribution Assumption: Rethinking the Criteria of Channel Pruning. CoRR Zhongzhan Huang, Xinjiang Wang, Ping Luo
2020	A*	`conf`	DIANet: Dense-and-Implicit Attention Network. AAAI Zhongzhan Huang, Senwei Liang, Mingfu Liang, Haizhao Yang
2020	J	`jnl`	Efficient Attention Network: Accelerate Attention by Searching Where to Plug. CoRR Zhongzhan Huang, Senwei Liang, Mingfu Liang, Wei He, Haizhao Yang
2020	A*	`conf`	Instance Enhancement Batch Normalization: An Adaptive Regulator of Batch Noise. AAAI Senwei Liang, Zhongzhan Huang, Mingfu Liang, Haizhao Yang
2019	J	`jnl`	DIANet: Dense-and-Implicit Attention Network. CoRR Zhongzhan Huang, Senwei Liang, Mingfu Liang, Haizhao Yang
2019	J	`jnl`	Instance Enhancement Batch Normalization: an Adaptive Regulator of Batch Noise. CoRR Senwei Liang, Zhongzhan Huang, Mingfu Liang, Haizhao Yang