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Zhongzhan Huang

Publication record assembled from the DBLP archive of ranked conferences.

Papers indexed

22

Venues

14

Active years

2020–2026

Best venue rank

A*

Where they publish

Papers

22 indexed papers, newest first.

YearVenueTitleAuthors
2026ACLNeural Chain-of-Thought Search: Searching the Optimal Reasoning Path to Enhance Large Language Models.Guoming Ling, Zhongzhan Huang, Yupei Lin, Junxin Li, Shanshan Zhong, Hefeng Wu, Liang Lin
2026ACLTest-Time Scaling in Multimodal Foundation Models: A Comprehensive Survey of Generation and Reasoning.Cong Wan, Ying He, Zhongzhan Huang, Hefeng Wu
2026WACV4D-Animal: Freely Reconstructing Animatable 3D Animals from Videos.Shanshan Zhong, Jiawei Peng, Zehan Zheng, Zhongzhan Huang, Wufei Ma, Guofeng Zhang, Qihao Liu, Alan L. Yuille, Jieneng Chen
2025ACLMiniLongBench: The Low-cost Long Context Understanding Benchmark for Large Language Models.Zhongzhan Huang, Guoming Ling, Shanshan Zhong, Hefeng Wu, Liang Lin
2025EMNLPRouterEval: A Comprehensive Benchmark for Routing LLMs to Explore Model-level Scaling Up in LLMs.Zhongzhan Huang, Guoming Ling, Yupei Lin, Yandong Chen, Shanshan Zhong, Hefeng Wu, Liang Lin
2025EMNLPAssoCiAm: A Benchmark for Evaluating Association Thinking while Circumventing Ambiguity.Yifan Liu, Wenkuan Zhao, Shanshan Zhong, Jinghui Qin, Mingfu Liang, Zhongzhan Huang, Wushao Wen
2025ICASSPAnimaYuanfeng Xu, Yuhao Chen, Zhongzhan Huang, Zijian He, Guangrun Wang, Liang Lin
2025MMMFlat Local Minima for Continual Learning on Semantic Segmentation.Zhongzhan Huang, Mingfu Liang, Senwei Liang, Shanshan Zhong
2025WWWDVIB: Towards Robust Multimodal Recommender Systems via Variational Information Bottleneck Distillation.Wenkuan Zhao, Shanshan Zhong, Yifan Liu, Wushao Wen, Jinghui Qin, Mingfu Liang, Zhongzhan Huang
2024ACLMoExtend: Tuning New Experts for Modality and Task Extension.Shanshan Zhong, Shanghua Gao, Zhongzhan Huang, Wushao Wen, Marinka Zitnik, Pan Zhou
2024CVPRLet's Think Outside the Box: Exploring Leap-of-Thought in Large Language Models with Creative Humor Generation.Shanshan Zhong, Zhongzhan Huang, Shanghua Gao, Wushao Wen, Liang Lin, Marinka Zitnik, Pan Zhou
2024ECCVStripe Observation Guided Inference Cost-Free Attention Mechanism.Zhongzhan Huang, Shanshan Zhong, Wushao Wen, Jinghui Qin, Liang Lin
2024ICANNDEEPAM: Toward Deeper Attention Module in Residual Convolutional Neural Networks.Shanshan Zhong, Wushao Wen, Jinghui Qin, Zhongzhan Huang
2024ICMLAttNS: Attention-Inspired Numerical Solving For Limited Data Scenarios.Zhongzhan Huang, Mingfu Liang, Shanshan Zhong, Liang Lin
2024WWWMirror Gradient: Towards Robust Multimodal Recommender Systems via Exploring Flat Local Minima.Shanshan Zhong, Zhongzhan Huang, Daifeng Li, Wushao Wen, Jinghui Qin, Liang Lin
2023ICCVUnderstanding Self-attention Mechanism via Dynamical System Perspective.Zhongzhan Huang, Mingfu Liang, Jinghui Qin, Shanshan Zhong, Liang Lin
2022EMNLPCEM: Machine-Human Chatting Handoff via Causal-Enhance Module.ShanShan Zhong, Jinghui Qin, Zhongzhan Huang, Daifeng Li
2022ICLRStiffness-aware neural network for learning Hamiltonian systems.Senwei Liang, Zhongzhan Huang, Hong Zhang
2021ICANNBlending Pruning Criteria for Convolutional Neural Networks.Wei He, Zhongzhan Huang, Mingfu Liang, Senwei Liang, Haizhao Yang
2021ICRAContinuous Transition: Improving Sample Efficiency for Continuous Control Problems via MixUp.Junfan Lin, Zhongzhan Huang, Keze Wang, Xiaodan Liang, Weiwei Chen, Liang Lin
2020AAAIDIANet: Dense-and-Implicit Attention Network.Zhongzhan Huang, Senwei Liang, Mingfu Liang, Haizhao Yang
2020AAAIInstance Enhancement Batch Normalization: An Adaptive Regulator of Batch Noise.Senwei Liang, Zhongzhan Huang, Mingfu Liang, Haizhao Yang