Changhua Meng - RankMe

68 papers A* 19A 1Journal 41Unranked 7

Year	Rank	Type	Title / Venue / Authors
2026	A*	`conf`	BitHeteroNet: A Heterogeneous Network Benchmark for Enhanced Anomaly Detection in Bitcoin Transactions. WWW Zheng Gong, Shuheng Shen, Changhua Meng, Ying Sun
2026	A*	`conf`	Careful Queries, Credible Results: Teaching RAG Models Advanced Web Search Tools with Reinforcement Learning. AAAI Yuqin Dai, Shuo Yang, Guoqing Wang, Yong Deng, Zhanwei Zhang, Jun Yin, Pengyu Zeng, Zhenzhe Ying, Changhua Meng, Can Yi, Yuchen Zhou, Weiqiang Wang, Shuai Lu
2026	A*	`conf`	GUI-G²: Gaussian Reward Modeling for GUI Grounding. AAAI Fei Tang, Zhangxuan Gu, Zhengxi Lu, Xuyang Liu, Shuheng Shen, Changhua Meng, Wen Wang, Wenqi Zhang, Yongliang Shen, Weiming Lu, Jun Xiao, Yueting Zhuang
2026	J	`jnl`	Mitigating Conversational Inertia in Multi-Turn Agents. CoRR Yang Wan, Zheng Cao, Zhenhao Zhang, Zhengwen Zeng, Shuheng Shen, Changhua Meng, Linchao Zhu
2026	J	`jnl`	Taming OpenClaw: Security Analysis and Mitigation of Autonomous LLM Agent Threats. CoRR Xinhao Deng, Yixiang Zhang, Jiaqing Wu, Jiaqi Bai, Sibo Yi, Zhuoheng Zou, Yue Xiao, Rennai Qiu, Jianan Ma, Jialuo Chen, Xiaohu Du, Xiaofang Yang, Shiwen Cui, Changhua Meng, Weiqiang Wang, Jiaxing Song, Ke Xu, Qi Li
2026	J	`jnl`	UI-Venus-1.5 Technical Report. CoRR Venus Team, Changlong Gao, Zhangxuan Gu, Yulin Liu, Xinyu Qiu, Shuheng Shen, Yue Wen, Tianyu Xia, Zhenyu Xu, Zhengwen Zeng, Beitong Zhou, Xingran Zhou, Weizhi Chen, Sunhao Dai, Jingya Dou, Yichen Gong, Yuan Guo, Zhenlin Guo, Feng Li, Qian Li, Jinzhen Lin, Yuqi Zhou, Linchao Zhu, Liang Chen, Zhenyu Guo, Changhua Meng, Weiqiang Wang
2026	J	`jnl`	Unified Generation and Self-Verification for Vision-Language Models via Advantage Decoupled Preference Optimization. CoRR Xinyu Qiu, Heng Jia, Zhengwen Zeng, Shuheng Shen, Changhua Meng, Yi Yang, Linchao Zhu
2025	J	`jnl`	Agent Safety Alignment via Reinforcement Learning. CoRR Zeyang Sha, Hanling Tian, Zhuoer Xu, Shiwen Cui, Changhua Meng, Weiqiang Wang
2025	J	`jnl`	Atom-Searcher: Enhancing Agentic Deep Research via Fine-Grained Atomic Thought Reward. CoRR Yong Deng, Guoqing Wang, Zhenzhe Ying, Xiaofeng Wu, Jinzhen Lin, Wenwen Xiong, Yuqin Dai, Shuo Yang, Zhanwei Zhang, Qiwen Wang, Yang Qin, Yuan Wang, Quanxing Zha, Sunhao Dai, Changhua Meng
2025	—	`conf`	BiQAP: Neural Bi-level Optimization-based Framework for Solving Quadratic Assignment Problems. KDD (2) Liangliang Shi, Haoran Zhang, Shuheng Shen, Changhua Meng, Weiqiang Wang, Junchi Yan
2025	J	`jnl`	Careful Queries, Credible Results: Teaching RAG Models Advanced Web Search Tools with Reinforcement Learning. CoRR Yuqin Dai, Shuo Yang, Guoqing Wang, Yong Deng, Zhanwei Zhang, Jun Yin, Pengyu Zeng, Zhenzhe Ying, Changhua Meng, Can Yi, Yuchen Zhou, Weiqiang Wang, Shuai Lu
2025	J	`jnl`	EviNote-RAG: Enhancing RAG Models via Answer-Supportive Evidence Notes. CoRR Yuqin Dai, Guoqing Wang, Yuan Wang, Kairan Dou, Kaichen Zhou, Zhanwei Zhang, Shuo Yang, Fei Tang, Jun Yin, Pengyu Zeng, Zhenzhe Ying, Can Yi, Changhua Meng, Yuchen Zhou, Yongliang Shen, Shuai Lu
2025	A*	`conf`	Exploring Hypergraph Condensation via Variational Hyperedge Generation and Multi-Aspectual Amelioration. WWW Zheng Gong, Shuheng Shen, Changhua Meng, Ying Sun
2025	J	`jnl`	GUI-G CoRR Fei Tang, Zhangxuan Gu, Zhengxi Lu, Xuyang Liu, Shuheng Shen, Changhua Meng, Wen Wang, Wenqi Zhang, Yongliang Shen, Weiming Lu, Jun Xiao, Yueting Zhuang
2025	—	`conf`	Gumbel Reranking: Differentiable End-to-End Reranker Optimization. ACL (1) Siyuan Huang, Zhiyuan Ma, Jintao Du, Changhua Meng, Weiqiang Wang, Jingwen Leng, Minyi Guo, Zhouhan Lin
2025	J	`jnl`	Gumbel Reranking: Differentiable End-to-End Reranker Optimization. CoRR Siyuan Huang, Zhiyuan Ma, Jintao Du, Changhua Meng, Weiqiang Wang, Jingwen Leng, Minyi Guo, Zhouhan Lin
2025	J	`jnl`	MVP: Multiple View Prediction Improves GUI Grounding. CoRR Yunzhu Zhang, Zeyu Pan, Zhengwen Zeng, Shuheng Shen, Changhua Meng, Linchao Zhu
2025	—	`conf`	Parameter-free and Accessible Prompt Learning to Enhance Adversarial Robustness for Pre-trained Vision-Language Models. NAACL (Long Papers) Xingran Zhou, Kun Yang, Changtao Miao, Bingyu Hu, Zhuoer Xu, Shiwen Cui, Changhua Meng, Dan Hong
2025	J	`jnl`	The Reasoning Trap: How Enhancing LLM Reasoning Amplifies Tool Hallucination. CoRR Chenlong Yin, Zeyang Sha, Shiwen Cui, Changhua Meng
2025	A*	`conf`	Training LLMs to be Better Text Embedders through Bidirectional Reconstruction. EMNLP Chang Su, Dengliang Shi, Siyuan Huang, Jintao Du, Changhua Meng, Yu Cheng, Weiqiang Wang, Zhouhan Lin
2025	J	`jnl`	Training LLMs to be Better Text Embedders through Bidirectional Reconstruction. CoRR Chang Su, Dengliang Shi, Siyuan Huang, Jintao Du, Changhua Meng, Yu Cheng, Weiqiang Wang, Zhouhan Lin
2025	J	`jnl`	UI-Venus Technical Report: Building High-performance UI Agents with RFT. CoRR Zhangxuan Gu, Zhengwen Zeng, Zhenyu Xu, Xingran Zhou, Shuheng Shen, Yunfei Liu, Beitong Zhou, Changhua Meng, Tianyu Xia, Weizhi Chen, Yue Wen, Jingya Dou, Fei Tang, Jinzhen Lin, Yulin Liu, Zhenlin Guo, Yichen Gong, Heng Jia, Changlong Gao, Yuan Guo, Yong Deng, Zhenyu Guo, Liang Chen, Weiqiang Wang
2025	J	`jnl`	VenusBench-GD: A Comprehensive Multi-Platform GUI Benchmark for Diverse Grounding Tasks. CoRR Beitong Zhou, Zhexiao Huang, Yuan Guo, Zhangxuan Gu, Tianyu Xia, Zichen Luo, Fei Tang, Dehan Kong, Yanyi Shang, Suling Ou, Zhenlin Guo, Changhua Meng, Shuheng Shen
2024	A*	`conf`	A Graph is Worth 1-bit Spikes: When Graph Contrastive Learning Meets Spiking Neural Networks. ICLR Jintang Li, Huizhe Zhang, Ruofan Wu, Zulun Zhu, Baokun Wang, Changhua Meng, Zibin Zheng, Liang Chen
2024	A*	`conf`	Adversarial Robust Safeguard for Evading Deep Facial Manipulation. AAAI Jiazhi Guan, Yi Zhao, Zhuoer Xu, Changhua Meng, Ke Xu, Youjian Zhao
2024	J	`jnl`	E-ANT: A Large-Scale Dataset for Efficient Automatic GUI NavigaTion. CoRR Ke Wang, Tianyu Xia, Zhangxuan Gu, Yi Zhao, Shuheng Shen, Changhua Meng, Weiqiang Wang, Ke Xu
2024	—	`conf`	Enhancing Distantly Supervised Named Entity Recognition with Strong Label Guided Lottery Training. LREC/COLING Zhiyuan Ma, Jintao Du, Changhua Meng, Weiqiang Wang
2024	—	`conf`	GraphRPM: Risk Pattern Mining on Industrial Large Attributed Graphs. ECML/PKDD (10) Sheng Tian, Xintan Zeng, Yifei Hu, Baokun Wang, Yongchao Liu, Yue Jin, Changhua Meng, Chuntao Hong, Tianyi Zhang, Weiqiang Wang
2024	J	`jnl`	GraphRPM: Risk Pattern Mining on Industrial Large Attributed Graphs. CoRR Sheng Tian, Xintan Zeng, Yifei Hu, Baokun Wang, Yongchao Liu, Yue Jin, Changhua Meng, Chuntao Hong, Tianyi Zhang, Weiqiang Wang
2024	—	`conf`	Mirror-Consistency: Harnessing Inconsistency in Majority Voting. EMNLP (Findings) Siyuan Huang, Zhiyuan Ma, Jintao Du, Changhua Meng, Weiqiang Wang, Zhouhan Lin
2024	J	`jnl`	Mirror-Consistency: Harnessing Inconsistency in Majority Voting. CoRR Siyuan Huang, Zhiyuan Ma, Jintao Du, Changhua Meng, Weiqiang Wang, Zhouhan Lin
2024	A*	`conf`	PC ACM Multimedia Yue Duan, Zhangxuan Gu, Zhenzhe Ying, Lei Qi, Changhua Meng, Yinghuan Shi
2024	J	`jnl`	PC CoRR Yue Duan, Zhangxuan Gu, Zhenzhe Ying, Lei Qi, Changhua Meng, Yinghuan Shi
2024	A*	`conf`	Revisiting Modularity Maximization for Graph Clustering: A Contrastive Learning Perspective. KDD Yunfei Liu, Jintang Li, Yuehe Chen, Ruofan Wu, Ericbk Wang, Jing Zhou, Sheng Tian, Shuheng Shen, Xing Fu, Changhua Meng, Weiqiang Wang, Liang Chen
2024	J	`jnl`	Revisiting Modularity Maximization for Graph Clustering: A Contrastive Learning Perspective. CoRR Yunfei Liu, Jintang Li, Yuehe Chen, Ruofan Wu, Ericbk Wang, Jing Zhou, Sheng Tian, Shuheng Shen, Xing Fu, Changhua Meng, Weiqiang Wang, Liang Chen
2024	J	`jnl`	TroubleLLM: Align to Red Team Expert. CoRR Zhuoer Xu, Jianping Zhang, Shiwen Cui, Changhua Meng, Weiqiang Wang
2023	J	`jnl`	A Graph is Worth 1-bit Spikes: When Graph Contrastive Learning Meets Spiking Neural Networks. CoRR Jintang Li, Huizhe Zhang, Ruofan Wu, Zulun Zhu, Liang Chen, Zibin Zheng, Baokun Wang, Changhua Meng
2023	A*	`conf`	Backpropagation Path Search On Adversarial Transferability. ICCV Zhuoer Xu, Zhangxuan Gu, Jianping Zhang, Shiwen Cui, Changhua Meng, Weiqiang Wang
2023	J	`jnl`	Backpropagation Path Search On Adversarial Transferability. CoRR Zhuoer Xu, Zhangxuan Gu, Jianping Zhang, Shiwen Cui, Changhua Meng, Weiqiang Wang
2023	J	`jnl`	DEDGAT: Dual Embedding of Directed Graph Attention Networks for Detecting Financial Risk. CoRR Jiafu Wu, Mufeng Yao, Dong Wu, Mingmin Chi, Baokun Wang, Ruofan Wu, Xin Fu, Changhua Meng, Weiqiang Wang
2023	A*	`conf`	DiffUTE: Universal Text Editing Diffusion Model. NeurIPS Haoxing Chen, Zhuoer Xu, Zhangxuan Gu, Jun Lan, Xing Zheng, Yaohui Li, Changhua Meng, Huijia Zhu, Weiqiang Wang
2023	J	`jnl`	DiffUTE: Universal Text Editing Diffusion Model. CoRR Haoxing Chen, Zhuoer Xu, Zhangxuan Gu, Jun Lan, Xing Zheng, Yaohui Li, Changhua Meng, Huijia Zhu, Weiqiang Wang
2023	A	`conf`	GUARD: Graph Universal Adversarial Defense. CIKM Jintang Li, Jie Liao, Ruofan Wu, Liang Chen, Zibin Zheng, Jiawang Dan, Changhua Meng, Weiqiang Wang
2023	J	`jnl`	Hetero$^2$Net: Heterophily-aware Representation Learning on Heterogenerous Graphs. CoRR Jintang Li, Zheng Wei, Jiawang Dan, Jing Zhou, Yuchang Zhu, Ruofan Wu, Baokun Wang, Zhang Zhen, Changhua Meng, Hong Jin, Zibin Zheng, Liang Chen
2023	A*	`conf`	Hierarchical Dynamic Image Harmonization. ACM Multimedia Haoxing Chen, Zhangxuan Gu, Yaohui Li, Jun Lan, Changhua Meng, Weiqiang Wang, Huaxiong Li
2023	J	`jnl`	LasTGL: An Industrial Framework for Large-Scale Temporal Graph Learning. CoRR Jintang Li, Jiawang Dan, Ruofan Wu, Jing Zhou, Sheng Tian, Yunfei Liu, Baokun Wang, Changhua Meng, Weiqiang Wang, Yuchang Zhu, Liang Chen, Zibin Zheng
2023	J	`jnl`	Less Can Be More: Unsupervised Graph Pruning for Large-scale Dynamic Graphs. CoRR Jintang Li, Sheng Tian, Ruofan Wu, Liang Zhu, Wenlong Zhao, Changhua Meng, Liang Chen, Zibin Zheng, Hongzhi Yin
2023	A*	`conf`	Mobile User Interface Element Detection Via Adaptively Prompt Tuning. CVPR Zhangxuan Gu, Zhuoer Xu, Haoxing Chen, Jun Lan, Changhua Meng, Weiqiang Wang
2023	J	`jnl`	Mobile User Interface Element Detection Via Adaptively Prompt Tuning. CoRR Zhangxuan Gu, Zhuoer Xu, Haoxing Chen, Jun Lan, Changhua Meng, Weiqiang Wang
2023	J	`jnl`	On the Robustness of Latent Diffusion Models. CoRR Jianping Zhang, Zhuoer Xu, Shiwen Cui, Changhua Meng, Weibin Wu, Michael R. Lyu
2023	A*	`conf`	SAD: Semi-Supervised Anomaly Detection on Dynamic Graphs. IJCAI Sheng Tian, Jihai Dong, Jintang Li, Wenlong Zhao, Xiaolong Xu, Baokun Wang, Bowen Song, Changhua Meng, Tianyi Zhang, Liang Chen
2023	J	`jnl`	SAD: Semi-Supervised Anomaly Detection on Dynamic Graphs. CoRR Sheng Tian, Jihai Dong, Jintang Li, Wenlong Zhao, Xiaolong Xu, Baokun Wang, Bowen Song, Changhua Meng, Tianyi Zhang, Liang Chen
2023	A*	`conf`	Scaling Up Dynamic Graph Representation Learning via Spiking Neural Networks. AAAI Jintang Li, Zhouxin Yu, Zulun Zhu, Liang Chen, Qi Yu, Zibin Zheng, Sheng Tian, Ruofan Wu, Changhua Meng
2023	—	`conf`	Self-supervision meets kernel graph neural models: From architecture to augmentations. ICDM (Workshops) Jiawang Dan, Ruofan Wu, Yunpeng Liu, Baokun Wang, Changhua Meng, Tengfei Liu, Tianyi Zhang, Ningtao Wang, Xing Fu, Qi Li, Weiqiang Wang
2023	J	`jnl`	Self-supervision meets kernel graph neural models: From architecture to augmentations. CoRR Jiawang Dan, Ruofan Wu, Yunpeng Liu, Baokun Wang, Changhua Meng, Tengfei Liu, Tianyi Zhang, Ningtao Wang, Xing Fu, Qi Li, Weiqiang Wang
2023	A*	`conf`	Towards Learning to Discover Money Laundering Sub-network in Massive Transaction Network. AAAI Ziwei Chai, Yang Yang, Jiawang Dan, Sheng Tian, Changhua Meng, Weiqiang Wang, Yifei Sun
2023	A*	`conf`	What's Behind the Mask: Understanding Masked Graph Modeling for Graph Autoencoders. KDD Jintang Li, Ruofan Wu, Wangbin Sun, Liang Chen, Sheng Tian, Liang Zhu, Changhua Meng, Zibin Zheng, Weiqiang Wang
2022	A*	`conf`	A2: Efficient Automated Attacker for Boosting Adversarial Training. NeurIPS Zhuoer Xu, Guanghui Zhu, Changhua Meng, Shiwen Cui, Zhenzhe Ying, Weiqiang Wang, Ming Gu, Yihua Huang
2022	J	`jnl`	A2: Efficient Automated Attacker for Boosting Adversarial Training. CoRR Zhuoer Xu, Guanghui Zhu, Changhua Meng, Shiwen Cui, Zhenzhe Ying, Weiqiang Wang, Ming Gu, Yihua Huang
2022	J	`jnl`	DiffusionInst: Diffusion Model for Instance Segmentation. CoRR Zhangxuan Gu, Haoxing Chen, Zhuoer Xu, Jun Lan, Changhua Meng, Weiqiang Wang
2022	J	`jnl`	GUARD: Graph Universal Adversarial Defense. CoRR Jintang Li, Jie Liao, Ruofan Wu, Liang Chen, Changhua Meng, Zibin Zheng, Weiqiang Wang
2022	J	`jnl`	Hierarchical Dynamic Image Harmonization. CoRR Haoxing Chen, Zhangxuan Gu, Yaohui Li, Jun Lan, Changhua Meng, Weiqiang Wang, Huaxiong Li
2022	J	`jnl`	MT-GBM: A Multi-Task Gradient Boosting Machine with Shared Decision Trees. CoRR Zhenzhe Ying, Zhuoer Xu, Zhifeng Li, Weiqiang Wang, Changhua Meng
2022	J	`jnl`	MaskGAE: Masked Graph Modeling Meets Graph Autoencoders. CoRR Jintang Li, Ruofan Wu, Wangbin Sun, Liang Chen, Sheng Tian, Liang Zhu, Changhua Meng, Zibin Zheng, Weiqiang Wang
2022	J	`jnl`	Scaling Up Dynamic Graph Representation Learning via Spiking Neural Networks. CoRR Jintang Li, Zhouxin Yu, Zulun Zhu, Liang Chen, Qi Yu, Zibin Zheng, Sheng Tian, Ruofan Wu, Changhua Meng
2022	A*	`conf`	XYLayoutLM: Towards Layout-Aware Multimodal Networks For Visually-Rich Document Understanding. CVPR Zhangxuan Gu, Changhua Meng, Ke Wang, Jun Lan, Weiqiang Wang, Ming Gu, Liqing Zhang
2022	J	`jnl`	XYLayoutLM: Towards Layout-Aware Multimodal Networks For Visually-Rich Document Understanding. CoRR Zhangxuan Gu, Changhua Meng, Ke Wang, Jun Lan, Weiqiang Wang, Ming Gu, Liqing Zhang
2021	J	`jnl`	A Vertical Federated Learning Framework for Graph Convolutional Network. CoRR Xiang Ni, Xiaolong Xu, Lingjuan Lyu, Changhua Meng, Weiqiang Wang