Changhua Meng
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
24
Venues
14
Active years
2022–2026
Best venue rank
A*
Where they publish
Papers
24 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | AAAI | Careful Queries, Credible Results: Teaching RAG Models Advanced Web Search Tools with Reinforcement Learning. | 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 | AAAI | GUI-G²: Gaussian Reward Modeling for GUI Grounding. | 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 | ACL | The Reasoning Trap: How Enhancing LLM Reasoning Amplifies Tool Hallucination. | Chenlong Yin, Zeyang Sha, Shiwen Cui, Changhua Meng, Zechao Li |
| 2026 | WWW | BitHeteroNet: A Heterogeneous Network Benchmark for Enhanced Anomaly Detection in Bitcoin Transactions. | Zheng Gong, Shuheng Shen, Changhua Meng, Ying Sun |
| 2026 | SIGIR | TDHGNN: A Temporal Directed Hypergraph Neural Network for Bitcoin Fraud Detection. | Zheng Gong, Shuheng Shen, Changhua Meng, Ying Sun |
| 2025 | ACL | Gumbel Reranking: Differentiable End-to-End Reranker Optimization. | Siyuan Huang, Zhiyuan Ma, Jintao Du, Changhua Meng, Weiqiang Wang, Jingwen Leng, Minyi Guo, Zhouhan Lin |
| 2025 | EMNLP | Training LLMs to be Better Text Embedders through Bidirectional Reconstruction. | Chang Su, Dengliang Shi, Siyuan Huang, Jintao Du, Changhua Meng, Yu Cheng, Weiqiang Wang, Zhouhan Lin |
| 2025 | KDD | BiQAP: Neural Bi-level Optimization-based Framework for Solving Quadratic Assignment Problems. | Liangliang Shi, Haoran Zhang, Shuheng Shen, Changhua Meng, Weiqiang Wang, Junchi Yan |
| 2025 | NAACL | Parameter-free and Accessible Prompt Learning to Enhance Adversarial Robustness for Pre-trained Vision-Language Models. | Xingran Zhou, Kun Yang, Changtao Miao, Bingyu Hu, Zhuoer Xu, Shiwen Cui, Changhua Meng, Dan Hong |
| 2025 | WWW | Exploring Hypergraph Condensation via Variational Hyperedge Generation and Multi-Aspectual Amelioration. | Zheng Gong, Shuheng Shen, Changhua Meng, Ying Sun |
| 2024 | AAAI | Adversarial Robust Safeguard for Evading Deep Facial Manipulation. | Jiazhi Guan, Yi Zhao, Zhuoer Xu, Changhua Meng, Ke Xu, Youjian Zhao |
| 2024 | COLING | Enhancing Distantly Supervised Named Entity Recognition with Strong Label Guided Lottery Training. | Zhiyuan Ma, Jintao Du, Changhua Meng, Weiqiang Wang |
| 2024 | EMNLP | Mirror-Consistency: Harnessing Inconsistency in Majority Voting. | Siyuan Huang, Zhiyuan Ma, Jintao Du, Changhua Meng, Weiqiang Wang, Zhouhan Lin |
| 2024 | ICLR | A Graph is Worth 1-bit Spikes: When Graph Contrastive Learning Meets Spiking Neural Networks. | Jintang Li, Huizhe Zhang, Ruofan Wu, Zulun Zhu, Baokun Wang, Changhua Meng, Zibin Zheng, Liang Chen |
| 2024 | KDD | Revisiting Modularity Maximization for Graph Clustering: A Contrastive Learning Perspective. | Yunfei Liu, Jintang Li, Yuehe Chen, Ruofan Wu, Ericbk Wang, Jing Zhou, Sheng Tian, Shuheng Shen, Xing Fu, Changhua Meng, Weiqiang Wang, Liang Chen |
| 2023 | AAAI | Towards Learning to Discover Money Laundering Sub-network in Massive Transaction Network. | Ziwei Chai, Yang Yang, Jiawang Dan, Sheng Tian, Changhua Meng, Weiqiang Wang, Yifei Sun |
| 2023 | AAAI | Scaling Up Dynamic Graph Representation Learning via Spiking Neural Networks. | Jintang Li, Zhouxin Yu, Zulun Zhu, Liang Chen, Qi Yu, Zibin Zheng, Sheng Tian, Ruofan Wu, Changhua Meng |
| 2023 | CIKM | GUARD: Graph Universal Adversarial Defense. | Jintang Li, Jie Liao, Ruofan Wu, Liang Chen, Zibin Zheng, Jiawang Dan, Changhua Meng, Weiqiang Wang |
| 2023 | CVPR | Mobile User Interface Element Detection Via Adaptively Prompt Tuning. | Zhangxuan Gu, Zhuoer Xu, Haoxing Chen, Jun Lan, Changhua Meng, Weiqiang Wang |
| 2023 | ICCV | Backpropagation Path Search On Adversarial Transferability. | Zhuoer Xu, Zhangxuan Gu, Jianping Zhang, Shiwen Cui, Changhua Meng, Weiqiang Wang |
| 2023 | ICDM | Self-supervision meets kernel graph neural models: From architecture to augmentations. | Jiawang Dan, Ruofan Wu, Yunpeng Liu, Baokun Wang, Changhua Meng, Tengfei Liu, Tianyi Zhang, Ningtao Wang, Xing Fu, Qi Li, Weiqiang Wang |
| 2023 | IJCAI | SAD: Semi-Supervised Anomaly Detection on Dynamic Graphs. | Sheng Tian, Jihai Dong, Jintang Li, Wenlong Zhao, Xiaolong Xu, Baokun Wang, Bowen Song, Changhua Meng, Tianyi Zhang, Liang Chen |
| 2023 | KDD | What's Behind the Mask: Understanding Masked Graph Modeling for Graph Autoencoders. | Jintang Li, Ruofan Wu, Wangbin Sun, Liang Chen, Sheng Tian, Liang Zhu, Changhua Meng, Zibin Zheng, Weiqiang Wang |
| 2022 | CVPR | XYLayoutLM: Towards Layout-Aware Multimodal Networks For Visually-Rich Document Understanding. | Zhangxuan Gu, Changhua Meng, Ke Wang, Jun Lan, Weiqiang Wang, Ming Gu, Liqing Zhang |