Zekun Wang - RankMe

28 papers A* 5B 2Journal 16Unranked 5

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	APSam: An Aggregating-Then-Pruning Sampler for Question-Conditional Denoising. IEEE Trans. Circuits Syst. Video Technol. Jiafeng Liang, Shixin Jiang, Wei Tang, Ning Wang, Zekun Wang, Xun Mao, Kai Lv, Ming Liu, Bing Qin
2026	J	`jnl`	Graph Reasoning Paradigm: Structured and Symbolic Reasoning with Topology-Aware Reinforcement Learning for Large Language Models. CoRR Runxuan Liu, Xianhao Ou, Xinyan Ma, Jiyuan Wang, Jiafeng Liang, Jiaqi Li, Tao He, Zheng Chu, Rongchuan Mu, Zekun Wang, Baoxin Wang, Dayong Wu, Ming Liu, Shijin Wang, Guoping Hu, Bing Qin
2026	J	`jnl`	Scalable Multilingual Multimodal Machine Translation with Speech-Text Fusion. CoRR Yexing Du, Youcheng Pan, Zekun Wang, Zheng Chu, Yichong Huang, Kaiyuan Liu, Bo Yang, Yang Xiang, Ming Liu, Bing Qin
2025	J	`jnl`	AI Meets Brain: Memory Systems from Cognitive Neuroscience to Autonomous Agents. CoRR Jiafeng Liang, Hao Li, Chang Li, Jiaqi Zhou, Shixin Jiang, Zekun Wang, Changkai Ji, Zhihao Zhu, Runxuan Liu, Tao Ren, Jinlan Fu, See-Kiong Ng, Xia Liang, Ming Liu, Bing Qin
2025	B	`conf`	CFSP: An Efficient Structured Pruning Framework for LLMs with Coarse-to-Fine Activation Information. COLING Yuxin Wang, Minghua Ma, Zekun Wang, Jingchang Chen, Liping Shan, Qing Yang, Dongliang Xu, Ming Liu, Bing Qin
2025	—	`conf`	EffiVLM-BENCH: A Comprehensive Benchmark for Evaluating Training-Free Acceleration in Large Vision-Language Models. ACL (1) Zekun Wang, Minghua Ma, Zexin Wang, Rongchuan Mu, Liping Shan, Ming Liu, Bing Qin
2025	J	`jnl`	EffiVLM-BENCH: A Comprehensive Benchmark for Evaluating Training-Free Acceleration in Large Vision-Language Models. CoRR Zekun Wang, Minghua Ma, Zexin Wang, Rongchuan Mu, Liping Shan, Ming Liu, Bing Qin
2025	J	`jnl`	Exploring & exploiting high-order graph structure for sparse knowledge graph completion. Frontiers Comput. Sci. Tao He, Ming Liu, Yixin Cao, Zekun Wang, Zihao Zheng, Bing Qin
2025	A*	`conf`	Improved Diffusion-based Generative Model with Better Adversarial Robustness. ICLR Zekun Wang, Mingyang Yi, Shuchen Xue, Zhenguo Li, Ming Liu, Bing Qin, Zhiming Ma
2025	J	`jnl`	Improved Diffusion-based Generative Model with Better Adversarial Robustness. CoRR Zekun Wang, Mingyang Yi, Shuchen Xue, Zhenguo Li, Ming Liu, Bing Qin, Zhi-Ming Ma
2024	J	`jnl`	CFSP: An Efficient Structured Pruning Framework for LLMs with Coarse-to-Fine Activation Information. CoRR Yuxin Wang, Minghua Ma, Zekun Wang, Jingchang Chen, Huiming Fan, Liping Shan, Qing Yang, Dongliang Xu, Ming Liu, Bing Qin
2024	—	`conf`	CogGPT: Unleashing the Power of Cognitive Dynamics on Large Language Models. EMNLP (Findings) Yaojia Lv, Haojie Pan, Zekun Wang, Jiafeng Liang, Yuanxing Liu, Ruiji Fu, Ming Liu, Zhongyuan Wang, Bing Qin
2024	A*	`conf`	Divide-and-Conquer Meets Consensus: Unleashing the Power of Functions in Code Generation. NeurIPS Jingchang Chen, Hongxuan Tang, Zheng Chu, Qianglong Chen, Zekun Wang, Ming Liu, Bing Qin
2024	J	`jnl`	Divide-and-Conquer Meets Consensus: Unleashing the Power of Functions in Code Generation. CoRR Jingchang Chen, Hongxuan Tang, Zheng Chu, Qianglong Chen, Zekun Wang, Ming Liu, Bing Qin
2024	A*	`conf`	GUIDE: A Guideline-Guided Dataset for Instructional Video Comprehension. IJCAI Jiafeng Liang, Shixin Jiang, Zekun Wang, Haojie Pan, Zerui Chen, Zheng Chu, Ming Liu, Ruiji Fu, Zhongyuan Wang, Bing Qin
2024	J	`jnl`	GUIDE: A Guideline-Guided Dataset for Instructional Video Comprehension. CoRR Jiafeng Liang, Shixin Jiang, Zekun Wang, Haojie Pan, Zerui Chen, Zheng Chu, Ming Liu, Ruiji Fu, Zhongyuan Wang, Bing Qin
2024	—	`conf`	SmartTrim: Adaptive Tokens and Attention Pruning for Efficient Vision-Language Models. LREC/COLING Zekun Wang, Jingchang Chen, Wangchunshu Zhou, Haichao Zhu, Jiafeng Liang, Liping Shan, Ming Liu, Dongliang Xu, Qing Yang, Bing Qin
2023	J	`jnl`	Exploring & Exploiting High-Order Graph Structure for Sparse Knowledge Graph Completion. CoRR Tao He, Ming Liu, Yixin Cao, Zekun Wang, Zihao Zheng, Zheng Chu, Bing Qin
2023	A*	`conf`	GTR: A Grafting-Then-Reassembling Framework for Dynamic Scene Graph Generation. IJCAI Jiafeng Liang, Yuxin Wang, Zekun Wang, Ming Liu, Ruiji Fu, Zhongyuan Wang, Bing Qin
2023	—	`conf`	MTGER: Multi-view Temporal Graph Enhanced Temporal Reasoning over Time-Involved Document. EMNLP (Findings) Zheng Chu, Zekun Wang, Jiafeng Liang, Ming Liu, Bing Qin
2023	J	`jnl`	MTGER: Multi-view Temporal Graph Enhanced Temporal Reasoning over Time-Involved Document. CoRR Zheng Chu, Zekun Wang, Jiafeng Liang, Ming Liu, Bing Qin
2023	J	`jnl`	SmartTrim: Adaptive Tokens and Parameters Pruning for Efficient Vision-Language Models. CoRR Zekun Wang, Jingchang Chen, Wangchunshu Zhou, Ming Liu, Bing Qin
2023	J	`jnl`	TAGNet: a tiny answer-guided network for conversational question generation. Int. J. Mach. Learn. Cybern. Zekun Wang, Haichao Zhu, Ming Liu, Bing Qin
2022	A*	`conf`	Distilled Dual-Encoder Model for Vision-Language Understanding. EMNLP Zekun Wang, Wenhui Wang, Haichao Zhu, Ming Liu, Bing Qin, Furu Wei
2021	J	`jnl`	Distilled Dual-Encoder Model for Vision-Language Understanding. CoRR Zekun Wang, Wenhui Wang, Haichao Zhu, Ming Liu, Bing Qin, Furu Wei
2021	—	`conf`	Less Is More: Domain Adaptation with Lottery Ticket for Reading Comprehension. EMNLP (Findings) Haichao Zhu, Zekun Wang, Heng Zhang, Ming Liu, Sendong Zhao, Bing Qin
2020	B	`conf`	Molweni: A Challenge Multiparty Dialogues-based Machine Reading Comprehension Dataset with Discourse Structure. COLING Jiaqi Li, Ming Liu, Min-Yen Kan, Zihao Zheng, Zekun Wang, Wenqiang Lei, Ting Liu, Bing Qin
2020	J	`jnl`	Molweni: A Challenge Multiparty Dialogues-based Machine Reading Comprehension Dataset with Discourse Structure. CoRR Jiaqi Li, Ming Liu, Min-Yen Kan, Zihao Zheng, Zekun Wang, Wenqiang Lei, Ting Liu, Bing Qin