Chengqiang Lu - RankMe

33 papers A* 8Journal 22Unranked 3

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Aligning Large Language Models with Searcher Preferences. CoRR Wei Wu, Peilun Zhou, Liyi Chen, Qimeng Wang, Chengqiang Lu, Yan Gao, Yi Wu, Yao Hu, Hui Xiong
2026	J	`jnl`	Anti-Length Shift: Dynamic Outlier Truncation for Training Efficient Reasoning Models. CoRR Wei Wu, Liyi Chen, Congxi Xiao, Tianfu Wang, Qimeng Wang, Chengqiang Lu, Yan Gao, Yi Wu, Yao Hu, Hui Xiong
2025	—	`conf`	MoDification: Mixture of Depths Made Easy. NAACL (Long Papers) Chen Zhang, Meizhi Zhong, Qimeng Wang, Xuantao Lu, Zheyu Ye, Chengqiang Lu, Yan Gao, Yao Hu, Kehai Chen, Min Zhang, Dawei Song
2025	J	`jnl`	Plan Your Travel and Travel with Your Plan: Wide-Horizon Planning and Evaluation via LLM. CoRR Dongjie Yang, Chengqiang Lu, Qimeng Wang, Xinbei Ma, Yan Gao, Yao Hu, Hai Zhao
2025	J	`jnl`	RAG-IGBench: Innovative Evaluation for RAG-based Interleaved Generation in Open-domain Question Answering. CoRR Rongyang Zhang, Yuqing Huang, Chengqiang Lu, Qimeng Wang, Yan Gao, Yi Wu, Yao Hu, Yin Xu, Wei Wang, Hao Wang, Enhong Chen
2025	—	`conf`	RealBench: A Chinese Multi-image Understanding Benchmark Close to Real-world Scenarios. EMNLP (Findings) Fei Zhao, Chengqiang Lu, Yufan Shen, Qimeng Wang, Yicheng Qian, Haoxin Zhang, Yan Gao, Wu Yi, Yao Hu, Zhen Wu, Shangyu Xing, Xinyu Dai
2025	J	`jnl`	RealBench: A Chinese Multi-image Understanding Benchmark Close to Real-world Scenarios. CoRR Fei Zhao, Chengqiang Lu, Yufan Shen, Qimeng Wang, Yicheng Qian, Haoxin Zhang, Yan Gao, Yi Wu, Yao Hu, Zhen Wu, Shangyu Xing, Xinyu Dai
2025	J	`jnl`	RedOne: Revealing Domain-specific LLM Post-Training in Social Networking Services. CoRR Fei Zhao, Chonggang Lu, Yue Wang, Zheyong Xie, Ziyan Liu, Haofu Qian, Jianzhao Huang, Fangcheng Shi, Zijie Meng, Hongcheng Guo, Mingqian He, Xinze Lyu, Yiming Lu, Ziyang Xiang, Zheyu Ye, Chengqiang Lu, Zhe Xu, Yi Wu, Yao Hu, Yan Gao, Jun Fan, Xiaolong Jiang, Weiting Liu, Boyang Wang, Shaosheng Cao
2025	—	`conf`	SelfAug: Mitigating Catastrophic Forgetting in Retrieval-Augmented Generation via Distribution Self-Alignment. EMNLP (Findings) Yuqing Huang, Rongyang Zhang, Qimeng Wang, Chengqiang Lu, Yan Gao, Yi Wu, Yao Hu, Xuyang Zhi, Guiquan Liu, Xin Li, Hao Wang, Enhong Chen
2025	J	`jnl`	SelfAug: Mitigating Catastrophic Forgetting in Retrieval-Augmented Generation via Distribution Self-Alignment. CoRR Yuqing Huang, Rongyang Zhang, Qimeng Wang, Chengqiang Lu, Yan Gao, Yi Wu, Yao Hu, Xuyang Zhi, Guiquan Liu, Xin Li, Hao Wang, Enhong Chen
2024	A*	`conf`	Learning to Reweight for Generalizable Graph Neural Network. AAAI Zhengyu Chen, Teng Xiao, Kun Kuang, Zheqi Lv, Min Zhang, Jinluan Yang, Chengqiang Lu, Hongxia Yang, Fei Wu
2024	J	`jnl`	MoDification: Mixture of Depths Made Easy. CoRR Chen Zhang, Meizhi Zhong, Qimeng Wang, Xuantao Lu, Zheyu Ye, Chengqiang Lu, Yan Gao, Yao Hu, Kehai Chen, Min Zhang, Dawei Song
2024	J	`jnl`	Multi-task bioassay pre-training for protein-ligand binding affinity prediction. Briefings Bioinform. Jiaxian Yan, Zhaofeng Ye, Ziyi Yang, Chengqiang Lu, Shengyu Zhang, Qi Liu, Jiezhong Qiu
2024	A*	`conf`	Vript: A Video Is Worth Thousands of Words. NeurIPS Dongjie Yang, Suyuan Huang, Chengqiang Lu, Xiaodong Han, Haoxin Zhang, Yan Gao, Yao Hu, Hai Zhao
2024	J	`jnl`	Vript: A Video Is Worth Thousands of Words. CoRR Dongjie Yang, Suyuan Huang, Chengqiang Lu, Xiaodong Han, Haoxin Zhang, Yan Gao, Yao Hu, Hai Zhao
2023	J	`jnl`	Learning to Reweight for Graph Neural Network. CoRR Zhengyu Chen, Teng Xiao, Kun Kuang, Zheqi Lv, Min Zhang, Jinluan Yang, Chengqiang Lu, Hongxia Yang, Fei Wu
2023	J	`jnl`	Multi-task Bioassay Pre-training for Protein-ligand Binding Affinity Prediction. CoRR Jiaxian Yan, Zhaofeng Ye, Ziyi Yang, Chengqiang Lu, Shengyu Zhang, Qi Liu, Jiezhong Qiu
2023	J	`jnl`	Qwen Technical Report. CoRR Jinze Bai, Shuai Bai, Yunfei Chu, Zeyu Cui, Kai Dang, Xiaodong Deng, Yang Fan, Wenbin Ge, Yu Han, Fei Huang, Binyuan Hui, Luo Ji, Mei Li, Junyang Lin, Runji Lin, Dayiheng Liu, Gao Liu, Chengqiang Lu, Keming Lu, Jianxin Ma, Rui Men, Xingzhang Ren, Xuancheng Ren, Chuanqi Tan, Sinan Tan, Jianhong Tu, Peng Wang, Shijie Wang, Wei Wang, Shengguang Wu, Benfeng Xu, Jin Xu, An Yang, Hao Yang, Jian Yang, Shusheng Yang, Yang Yao, Bowen Yu, Hongyi Yuan, Zheng Yuan, Jianwei Zhang, Xingxuan Zhang, Yichang Zhang, Zhenru Zhang, Chang Zhou, Jingren Zhou, Xiaohuan Zhou, Tianhang Zhu
2022	A*	`conf`	Deep Unified Representation for Heterogeneous Recommendation. WWW Chengqiang Lu, Mingyang Yin, Shuheng Shen, Luo Ji, Qi Liu, Hongxia Yang
2022	J	`jnl`	Deep Unified Representation for Heterogeneous Recommendation. CoRR Chengqiang Lu, Mingyang Yin, Shuheng Shen, Luo Ji, Qi Liu, Hongxia Yang
2022	J	`jnl`	Knowledge Distillation of Transformer-based Language Models Revisited. CoRR Chengqiang Lu, Jianwei Zhang, Yunfei Chu, Zhengyu Chen, Jingren Zhou, Fei Wu, Haiqing Chen, Hongxia Yang
2022	A*	`conf`	ProtGNN: Towards Self-Explaining Graph Neural Networks. AAAI Zaixi Zhang, Qi Liu, Hao Wang, Chengqiang Lu, Cheekong Lee
2022	J	`jnl`	Towards Exploring Large Molecular Space: An Efficient Chemical Genetic Algorithm. J. Comput. Sci. Technol. Jian-Fu Zhu, Zhongkai Hao, Qi Liu, Yu Yin, Chengqiang Lu, Zhenya Huang, En-Hong Chen
2021	A*	`conf`	GraphMI: Extracting Private Graph Data from Graph Neural Networks. IJCAI Zaixi Zhang, Qi Liu, Zhenya Huang, Hao Wang, Chengqiang Lu, Chuanren Liu, Enhong Chen
2021	J	`jnl`	GraphMI: Extracting Private Graph Data from Graph Neural Networks. CoRR Zaixi Zhang, Qi Liu, Zhenya Huang, Hao Wang, Chengqiang Lu, Chuanren Liu, Enhong Chen
2021	A*	`conf`	Motif-based Graph Self-Supervised Learning for Molecular Property Prediction. NeurIPS Zaixi Zhang, Qi Liu, Hao Wang, Chengqiang Lu, Chee-Kong Lee
2021	J	`jnl`	Motif-based Graph Self-Supervised Learning for Molecular Property Prediction. CoRR Zaixi Zhang, Qi Liu, Hao Wang, Chengqiang Lu, Cheekong Lee
2021	J	`jnl`	ProtGNN: Towards Self-Explaining Graph Neural Networks. CoRR Zaixi Zhang, Qi Liu, Hao Wang, Chengqiang Lu, Cheekong Lee
2020	J	`jnl`	A Graph-Based Author Name Disambiguation Method and Analysis via Information Theory. Entropy Yingying Ma, Youlong Wu, Chengqiang Lu
2020	A*	`conf`	ASGN: An Active Semi-supervised Graph Neural Network for Molecular Property Prediction. KDD Zhongkai Hao, Chengqiang Lu, Zhenya Huang, Hao Wang, Zheyuan Hu, Qi Liu, Enhong Chen, Cheekong Lee
2020	J	`jnl`	ASGN: An Active Semi-supervised Graph Neural Network for Molecular Property Prediction. CoRR Zhongkai Hao, Chengqiang Lu, Zheyuan Hu, Hao Wang, Zhenya Huang, Qi Liu, Enhong Chen, Cheekong Lee
2019	A*	`conf`	Molecular Property Prediction: A Multilevel Quantum Interactions Modeling Perspective. AAAI Chengqiang Lu, Qi Liu, Chao Wang, Zhenya Huang, Peize Lin, Lixin He
2019	J	`jnl`	Molecular Property Prediction: A Multilevel Quantum Interactions Modeling Perspective. CoRR Chengqiang Lu, Qi Liu, Chao Wang, Zhenya Huang, Peize Lin, Lixin He