Wang, Guoren

22 publications

ECML-PKDD 2025 Backdoor Attacks on Graph Classification via Data Augmentation and Dynamic Poisoning Yadong Wang, Zhiwei Zhang, Pengpeng Qiao, Ye Yuan, Guoren Wang

NeurIPS 2025 Fira: Can We Achieve Full-Rank Training of LLMs Under Low-Rank Constraint? Xi Chen, Kaituo Feng, Changsheng Li, Xunhao Lai, Xiangyu Yue, Ye Yuan, Guoren Wang

NeurIPS 2025 Generalization Bounds for Kolmogorov-Arnold Networks (KANs) and Enhanced KANs with Lower Lipschitz Complexity Pengqi Li, Lizhong Ding, Jiarun Fu, ChunhuiZhang, Guoren Wang, Ye Yuan

NeurIPS 2025 GraphMaster: Automated Graph Synthesis via LLM Agents in Data-Limited Environments Enjun Du, Xunkai Li, Tian Jin, Zhihan Zhang, Rong-Hua Li, Guoren Wang

NeurIPS 2025 Handling Label Noise via Instance-Level Difficulty Modeling and Dynamic Optimization Kuan Zhang, Chengliang Chai, Jingzhe Xu, Chi Zhang, Han Han, Ye Yuan, Guoren Wang, Lei Cao

ICLR 2025 Harnessing Diversity for Important Data Selection in Pretraining Large Language Models Chi Zhang, Huaping Zhong, Kuan Zhang, Chengliang Chai, Rui Wang, Xinlin Zhuang, Tianyi Bai, Qiu Jiantao, Lei Cao, Ju Fan, Ye Yuan, Guoren Wang, Conghui He

NeurIPS 2025 OpenGU: A Comprehensive Benchmark for Graph Unlearning Bowen Fan, Yuming Ai, Xunkai Li, Zhilin Guo, Zhu Lei, Guang Zeng, Rong-Hua Li, Guoren Wang

AAAI 2025 Prompt Tuning in a Compact Attribute Space Shiyu Hou, Tianfei Zhou, Shuai Zhang, Ye Yuan, Guoren Wang

ICML 2025 Toward Data-Centric Directed Graph Learning: An Entropy-Driven Approach Xunkai Li, Zhengyu Wu, Kaichi Yu, Hongchao Qin, Guang Zeng, Rong-Hua Li, Guoren Wang

NeurIPS 2025 Towards Multi-Table Learning: A Novel Paradigm for Complementarity Quantification and Integration Junyu Zhang, Lizhong Ding, MinghongZhang, Ye Yuan, Xingcan Li, Pengqi Li, Tihang Xi, Guoren Wang, Changsheng Li

ICML 2024 Keypoint-Based Progressive Chain-of-Thought Distillation for LLMs Kaituo Feng, Changsheng Li, Xiaolu Zhang, Jun Zhou, Ye Yuan, Guoren Wang

NeurIPS 2024 LaKD: Length-Agnostic Knowledge Distillation for Trajectory Prediction with Any Length Observations Yuhang Li, Changsheng Li, Ruilin Lv, Rongqing Li, Ye Yuan, Guoren Wang

CVPR 2024 On the Road to Portability: Compressing End-to-End Motion Planner for Autonomous Driving Kaituo Feng, Changsheng Li, Dongchun Ren, Ye Yuan, Guoren Wang

AAAI 2024 Towards Effective and General Graph Unlearning via Mutual Evolution Xunkai Li, Yulin Zhao, Zhengyu Wu, Wentao Zhang, Rong-Hua Li, Guoren Wang

NeurIPS 2023 BCDiff: Bidirectional Consistent Diffusion for Instantaneous Trajectory Prediction Rongqing Li, Changsheng Li, Dongchun Ren, Guangyi Chen, Ye Yuan, Guoren Wang

AAAI 2022 Active Learning for Domain Adaptation: An Energy-Based Approach Binhui Xie, Longhui Yuan, Shuang Li, Chi Harold Liu, Xinjing Cheng, Guoren Wang

IJCAI 2022 Filtration-Enhanced Graph Transformation Zijian Chen, Rong-Hua Li, Hongchao Qin, Huanzhong Duan, Yanxiong Lu, Qiangqiang Dai, Guoren Wang

AAAI 2021 LRSC: Learning Representations for Subspace Clustering Changsheng Li, Chen Yang, Bo Liu, Ye Yuan, Guoren Wang

NeurIPS 2021 Pareto Domain Adaptation Fangrui Lv, Jian Liang, Kaixiong Gong, Shuang Li, Chi Harold Liu, Han Li, Di Liu, Guoren Wang

AAAI 2021 Unsupervised Active Learning via Subspace Learning Changsheng Li, Kaihang Mao, Lingyan Liang, Dongchun Ren, Wei Zhang, Ye Yuan, Guoren Wang

IJCAI 2020 On Deep Unsupervised Active Learning Changsheng Li, Handong Ma, Zhao Kang, Ye Yuan, Xiaoyu Zhang, Guoren Wang

IJCAI 2020 Simultaneous Arrival Matching for New Spatial Crowdsourcing Platforms Boyang Li, Yurong Cheng, Ye Yuan, Guoren Wang, Lei Chen