Yijun Tian - RankMe

81 papers A* 21A 7Journal 47Unranked 6

Year	Rank	Type	Title / Venue / Authors
2026	A*	`conf`	Adaptive and Context-rich Generative Self-supervised Learning on Graphs. AAAI Yijun Tian, Chuxu Zhang, Ziyi Kou, Zheyuan Liu, Xiangliang Zhang, Nitesh V. Chawla
2026	J	`jnl`	Graph is a Substrate Across Data Modalities. CoRR Ziming Li, Xiaoming Wu, Zehong Wang, Jiazheng Li, Yijun Tian, Jinhe Bi, Yunpu Ma, Yanfang Ye, Chuxu Zhang
2026	J	`jnl`	LACONIC: Dense-Level Effectiveness for Scalable Sparse Retrieval via a Two-Phase Training Curriculum. CoRR Zhichao Xu, Shengyao Zhuang, Crystina Zhang, Xueguang Ma, Yijun Tian, Maitrey Mehta, Jimmy Lin, Vivek Srikumar
2026	A*	`conf`	Pareto-Based Heterogeneous Knowledge Distillation for MLPs on Graphs. AAAI Wenrui Zhao, Yijun Tian, Zhichao Xu, Yawei Wang, Chuxu Zhang
2026	—	`conf`	SALT: Step-level Advantage Assignment for Long-horizon Agents via Trajectory Graph. EACL (Findings) Jiazheng Li, Yawei Wang, Qiaojing Yan, Yijun Tian, Zhichao Xu, Huan Song, Panpan Xu, Lin Lee Cheong
2026	J	`jnl`	The Clever Hans Mirage: A Comprehensive Survey on Spurious Correlations in Machine Learning. Trans. Mach. Learn. Res. Wenqian Ye, Luyang Jiang, Eric Xie, Guangtao Zheng, Yunsheng Ma, Xu Cao, Dongliang Guo, Daiqing Qi, Zeyu He, Yijun Tian, Christopher W. Porter, Megan Coffee, Zhe Zeng, Sheng Li, Ziran Wang, Ting-Hao Kenneth Huang, James Matthew Rehg, Henry A. Kautz, Aidong Zhang
2025	J	`jnl`	ALDEN: Reinforcement Learning for Active Navigation and Evidence Gathering in Long Documents. CoRR Tianyu Yang, Terry Ruas, Yijun Tian, Jan Philip Wahle, Daniel Kurzawe, Bela Gipp
2025	A	`conf`	Beyond Answers: Transferring Reasoning Capabilities to Smaller LLMs Using Multi-Teacher Knowledge Distillation. WSDM Yijun Tian, Yikun Han, Xiusi Chen, Wei Wang, Nitesh V. Chawla
2025	J	`jnl`	Beyond Correctness: Rewarding Faithful Reasoning in Retrieval-Augmented Generation. CoRR Zhichao Xu, Zongyu Wu, Yun Zhou, Aosong Feng, Kang Zhou, Sangmin Woo, Kiran Ramnath, Yijun Tian, Xuan Qi, Weikang Qiu, Lin Lee Cheong, Haibo Ding
2025	—	`conf`	CSPLADE: Learned Sparse Retrieval with Causal Language Models. IJCNLP-AACL (long papers) Zhichao Xu, Aosong Feng, Yijun Tian, Haibo Ding, Lin Lee Cheong
2025	J	`jnl`	CSPLADE: Learned Sparse Retrieval with Causal Language Models. CoRR Zhichao Xu, Aosong Feng, Yijun Tian, Haibo Ding, Lin Lee Cheong
2025	J	`jnl`	Can Visual Input Be Compressed? A Visual Token Compression Benchmark for Large Multimodal Models. CoRR Tianfan Peng, Yuntao Du, Pengzhou Ji, Shijie Dong, Kailin Jiang, Mingchuan Ma, Yijun Tian, Jinhe Bi, Qian Li, Wei Du, Feng Xiao, Lizhen Cui
2025	J	`jnl`	Class-Imbalanced Learning on Graphs: A Survey. ACM Comput. Surv. Yihong Ma, Yijun Tian, Nuno Moniz, Nitesh V. Chawla
2025	J	`jnl`	Deconstructing the ethics of large language models from long-standing issues to new-emerging dilemmas: a survey. AI Ethics Chengyuan Deng, Yiqun Duan, Xin Jin, Heng Chang, Yijun Tian, Han Liu, Yichen Wang, Kuofeng Gao, Henry Peng Zou, Yiqiao Jin, Yijia Xiao, Shenghao Wu, Zongxing Xie, Weimin Lyu, Sihong He, Lu Cheng, Haohan Wang, Jun Zhuang
2025	J	`jnl`	Knowledge Distillation on Graphs: A Survey. ACM Comput. Surv. Yijun Tian, Shichao Pei, Xiangliang Zhang, Chuxu Zhang, Nitesh V. Chawla
2025	J	`jnl`	MV-Debate: Multi-view Agent Debate with Dynamic Reflection Gating for Multimodal Harmful Content Detection in Social Media. CoRR Rui Lu, Jinhe Bi, Yunpu Ma, Feng Xiao, Yuntao Du, Yijun Tian
2025	J	`jnl`	Mixture of Spatial-Temporal Graph Transformer Networks for urban congestion prediction using multimodal transportation data. Expert Syst. Appl. Jian Zhang, Yanyan Chen, Tao Wang, Chuan-Zhi Thomas Xie, Yijun Tian
2025	J	`jnl`	RECON: Reasoning with Condensation for Efficient Retrieval-Augmented Generation. CoRR Zhichao Xu, Minheng Wang, Yawei Wang, Wenqian Ye, Yuntao Du, Yunpu Ma, Yijun Tian
2025	J	`jnl`	Reinforcement Learning for Self-Improving Agent with Skill Library. CoRR Jiongxiao Wang, Qiaojing Yan, Yawei Wang, Yijun Tian, Soumya Smruti Mishra, Zhichao Xu, Megha Gandhi, Panpan Xu, Lin Lee Cheong
2025	J	`jnl`	Reinforcement Mid-Training. CoRR Yijun Tian, Shaoyu Chen, Zhichao Xu, Yawei Wang, Jinhe Bi, Peng Han, Wei Wang
2025	J	`jnl`	Rethinking On-policy Optimization for Query Augmentation. CoRR Zhichao Xu, Shengyao Zhuang, Xueguang Ma, Bingsen Chen, Yijun Tian, Fengran Mo, Jie Cao, Vivek Srikumar
2025	J	`jnl`	SALT: Step-level Advantage Assignment for Long-horizon Agents via Trajectory Graph. CoRR Jiazheng Li, Yawei Wang, David Yan, Yijun Tian, Zhichao Xu, Huan Song, Panpan Xu, Lin Lee Cheong
2025	J	`jnl`	SDRT: Enhance Vision-Language Models by Self-Distillation with Diverse Reasoning Traces. CoRR Guande Wu, Huan Song, Yawei Wang, Qiaojing Yan, Yijun Tian, Lin Lee Cheong, Panpan Xu
2025	A	`conf`	Towards Few-shot Chemical Reaction Outcome Prediction. CIKM Yili Shen, Yijun Tian, Cheng-Wei Ju, Olaf Wiest, Xiangliang Zhang
2024	J	`jnl`	Advancing crowd forecasting with graphs across microscopic trajectory to macroscopic dynamics. Inf. Fusion Chuan-Zhi Thomas Xie, Junhao Xu, Bin Zhu, Tie-Qiao Tang, Siuming Lo, Botao Zhang, Yijun Tian
2024	A*	`conf`	Breaking the Trilemma of Privacy, Utility, and Efficiency via Controllable Machine Unlearning. WWW Zheyuan Liu, Guangyao Dou, Eli Chien, Chunhui Zhang, Yijun Tian, Ziwei Zhu
2024	—	`conf`	Can we Soft Prompt LLMs for Graph Learning Tasks? WWW (Companion Volume) Zheyuan Liu, Xiaoxin He, Yijun Tian, Nitesh V. Chawla
2024	J	`jnl`	Can we Soft Prompt LLMs for Graph Learning Tasks? CoRR Zheyuan Liu, Xiaoxin He, Yijun Tian, Nitesh V. Chawla
2024	A	`conf`	ChefFusion: Multimodal Foundation Model Integrating Recipe and Food Image Generation. CIKM Peiyu Li, Xiaobao Huang, Yijun Tian, Nitesh V. Chawla
2024	J	`jnl`	ChefFusion: Multimodal Foundation Model Integrating Recipe and Food Image Generation. CoRR Peiyu Li, Xiaobao Huang, Yijun Tian, Nitesh V. Chawla
2024	J	`jnl`	Data-Centric Evolution in Autonomous Driving: A Comprehensive Survey of Big Data System, Data Mining, and Closed-Loop Technologies. CoRR Lincan Li, Wei Shao, Wei Dong, Yijun Tian, Qiming Zhang, Kaixiang Yang, Wenjie Zhang
2024	J	`jnl`	Deconstructing The Ethics of Large Language Models from Long-standing Issues to New-emerging Dilemmas. CoRR Chengyuan Deng, Yiqun Duan, Xin Jin, Heng Chang, Yijun Tian, Han Liu, Henry Peng Zou, Yiqiao Jin, Yijia Xiao, Yichen Wang, Shenghao Wu, Zongxing Xie, Kuofeng Gao, Sihong He, Jun Zhuang, Lu Cheng, Haohan Wang
2024	A*	`conf`	Democratizing Large Language Models via Personalized Parameter-Efficient Fine-tuning. EMNLP Zhaoxuan Tan, Qingkai Zeng, Yijun Tian, Zheyuan Liu, Bing Yin, Meng Jiang
2024	J	`jnl`	Democratizing Large Language Models via Personalized Parameter-Efficient Fine-tuning. CoRR Zhaoxuan Tan, Qingkai Zeng, Yijun Tian, Zheyuan Liu, Bing Yin, Meng Jiang
2024	A	`conf`	FaDE: A Face Segment Driven Identity Anonymization Framework For Fair Face Recognition. CIKM Ziyi Kou, Yijun Tian, Meng Jiang, Xiangliang Zhang
2024	J	`jnl`	Forecaster as a simulator: Simulating multi-directional pedestrian flow with knowledge-guided Graph Neural Networks. Comput. Ind. Eng. Botao Zhang, Junhao Xu, Chuan-Zhi Thomas Xie, Siuming Lo, Bin Zhu, Tie-Qiao Tang, Yijun Tian
2024	A*	`conf`	G-Retriever: Retrieval-Augmented Generation for Textual Graph Understanding and Question Answering. NeurIPS Xiaoxin He, Yijun Tian, Yifei Sun, Nitesh V. Chawla, Thomas Laurent, Yann LeCun, Xavier Bresson, Bryan Hooi
2024	J	`jnl`	G-Retriever: Retrieval-Augmented Generation for Textual Graph Understanding and Question Answering. CoRR Xiaoxin He, Yijun Tian, Yifei Sun, Nitesh V. Chawla, Thomas Laurent, Yann LeCun, Xavier Bresson, Bryan Hooi
2024	A*	`conf`	Graph Cross Supervised Learning via Generalized Knowledge. KDD Xiangchi Yuan, Yijun Tian, Chunhui Zhang, Yanfang Ye, Nitesh V. Chawla, Chuxu Zhang
2024	A*	`conf`	Graph Neural Prompting with Large Language Models. AAAI Yijun Tian, Huan Song, Zichen Wang, Haozhu Wang, Ziqing Hu, Fang Wang, Nitesh V. Chawla, Panpan Xu
2024	J	`jnl`	Learning to Predict Mutation Effects of Protein-Protein Interactions by Microenvironment-aware Hierarchical Prompt Learning. CoRR Lirong Wu, Yijun Tian, Haitao Lin, Yufei Huang, Siyuan Li, Nitesh V. Chawla, Stan Z. Li
2024	A*	`conf`	Learning to Predict Mutational Effects of Protein-Protein Interactions by Microenvironment-aware Hierarchical Prompt Learning. ICML Lirong Wu, Yijun Tian, Haitao Lin, Yufei Huang, Siyuan Li, Nitesh V. Chawla, Stan Z. Li
2024	A*	`conf`	MAPE-PPI: Towards Effective and Efficient Protein-Protein Interaction Prediction via Microenvironment-Aware Protein Embedding. ICLR Lirong Wu, Yijun Tian, Yufei Huang, Siyuan Li, Haitao Lin, Nitesh V. Chawla, Stan Z. Li
2024	J	`jnl`	MAPE-PPI: Towards Effective and Efficient Protein-Protein Interaction Prediction via Microenvironment-Aware Protein Embedding. CoRR Lirong Wu, Yijun Tian, Yufei Huang, Siyuan Li, Haitao Lin, Nitesh V. Chawla, Stan Z. Li
2024	J	`jnl`	Machine Unlearning in Generative AI: A Survey. CoRR Zheyuan Liu, Guangyao Dou, Zhaoxuan Tan, Yijun Tian, Meng Jiang
2024	A*	`conf`	Mitigating Emergent Robustness Degradation while Scaling Graph Learning. ICLR Xiangchi Yuan, Chunhui Zhang, Yijun Tian, Yanfang Ye, Chuxu Zhang
2024	J	`jnl`	Post-Fair Federated Learning: Achieving Group and Community Fairness in Federated Learning via Post-processing. CoRR Yuying Duan, Yijun Tian, Nitesh V. Chawla, Michael Lemmon
2024	A*	`conf`	S3GCL: Spectral, Swift, Spatial Graph Contrastive Learning. ICML Guancheng Wan, Yijun Tian, Wenke Huang, Nitesh V. Chawla, Mang Ye
2024	—	`conf`	Structural Podcast Content Modeling with Generalizability. WWW (Companion Volume) Yijun Tian, Maryam Aziz, Alice Wang, Enrico Palumbo, Hugues Bouchard
2024	J	`jnl`	TinyLLM: Learning a Small Student from Multiple Large Language Models. CoRR Yijun Tian, Yikun Han, Xiusi Chen, Wei Wang, Nitesh V. Chawla
2024	—	`conf`	Towards Safer Large Language Models through Machine Unlearning. ACL (Findings) Zheyuan Liu, Guangyao Dou, Zhaoxuan Tan, Yijun Tian, Meng Jiang
2024	J	`jnl`	Towards Safer Large Language Models through Machine Unlearning. CoRR Zheyuan Liu, Guangyao Dou, Zhaoxuan Tan, Yijun Tian, Meng Jiang
2024	J	`jnl`	UGMAE: A Unified Framework for Graph Masked Autoencoders. CoRR Yijun Tian, Chuxu Zhang, Ziyi Kou, Zheyuan Liu, Xiangliang Zhang, Nitesh V. Chawla
2023	A*	`conf`	Boosting Graph Neural Networks via Adaptive Knowledge Distillation. AAAI Zhichun Guo, Chunhui Zhang, Yujie Fan, Yijun Tian, Chuxu Zhang, Nitesh V. Chawla
2023	J	`jnl`	Breaking the Trilemma of Privacy, Utility, Efficiency via Controllable Machine Unlearning. CoRR Zheyuan Liu, Guangyao Dou, Yijun Tian, Chunhui Zhang, Eli Chien, Ziwei Zhu
2023	A*	`conf`	Character As Pixels: A Controllable Prompt Adversarial Attacking Framework for Black-Box Text Guided Image Generation Models. IJCAI Ziyi Kou, Shichao Pei, Yijun Tian, Xiangliang Zhang
2023	A*	`conf`	Chasing All-Round Graph Representation Robustness: Model, Training, and Optimization. ICLR Chunhui Zhang, Yijun Tian, Mingxuan Ju, Zheyuan Liu, Yanfang Ye, Nitesh V. Chawla, Chuxu Zhang
2023	J	`jnl`	Class-Imbalanced Learning on Graphs: A Survey. CoRR Yihong Ma, Yijun Tian, Nuno Moniz, Nitesh V. Chawla
2023	A*	`conf`	Fair Graph Representation Learning via Diverse Mixture-of-Experts. WWW Zheyuan Liu, Chunhui Zhang, Yijun Tian, Erchi Zhang, Chao Huang, Yanfang Ye, Chuxu Zhang
2023	J	`jnl`	Graph Neural Prompting with Large Language Models. CoRR Yijun Tian, Huan Song, Zichen Wang, Haozhu Wang, Ziqing Hu, Fang Wang, Nitesh V. Chawla, Panpan Xu
2023	A*	`conf`	Graph-based Molecular Representation Learning. IJCAI Zhichun Guo, Kehan Guo, Bozhao Nan, Yijun Tian, Roshni G. Iyer, Yihong Ma, Olaf Wiest, Xiangliang Zhang, Wei Wang, Chuxu Zhang, Nitesh V. Chawla
2023	A*	`conf`	Heterogeneous Graph Masked Autoencoders. AAAI Yijun Tian, Kaiwen Dong, Chunhui Zhang, Chuxu Zhang, Nitesh V. Chawla
2023	J	`jnl`	Knowledge Distillation on Graphs: A Survey. CoRR Yijun Tian, Shichao Pei, Xiangliang Zhang, Chuxu Zhang, Nitesh V. Chawla
2023	A*	`conf`	Learning MLPs on Graphs: A Unified View of Effectiveness, Robustness, and Efficiency. ICLR Yijun Tian, Chuxu Zhang, Zhichun Guo, Xiangliang Zhang, Nitesh V. Chawla
2023	A*	`conf`	When Sparsity Meets Contrastive Models: Less Graph Data Can Bring Better Class-Balanced Representations. ICML Chunhui Zhang, Chao Huang, Yijun Tian, Qianlong Wen, Zhongyu Ouyang, Youhuan Li, Yanfang Ye, Chuxu Zhang
2022	J	`jnl`	Boosting Graph Neural Networks via Adaptive Knowledge Distillation. CoRR Zhichun Guo, Chunhui Zhang, Yujie Fan, Yijun Tian, Chuxu Zhang, Nitesh V. Chawla
2022	J	`jnl`	Diving into Unified Data-Model Sparsity for Class-Imbalanced Graph Representation Learning. CoRR Chunhui Zhang, Chao Huang, Yijun Tian, Qianlong Wen, Zhongyu Ouyang, Youhuan Li, Yanfang Ye, Chuxu Zhang
2022	—	`conf`	FakeEdge: Alleviate Dataset Shift in Link Prediction. LoG Kaiwen Dong, Yijun Tian, Zhichun Guo, Yang Yang, Nitesh V. Chawla
2022	J	`jnl`	FakeEdge: Alleviate Dataset Shift in Link Prediction. CoRR Kaiwen Dong, Yijun Tian, Zhichun Guo, Yang Yang, Nitesh V. Chawla
2022	J	`jnl`	Graph-based Molecular Representation Learning. CoRR Zhichun Guo, Bozhao Nan, Yijun Tian, Olaf Wiest, Chuxu Zhang, Nitesh V. Chawla
2022	J	`jnl`	Heterogeneous Graph Masked Autoencoders. CoRR Yijun Tian, Kaiwen Dong, Chunhui Zhang, Chuxu Zhang, Nitesh V. Chawla
2022	A	`conf`	Hierarchical Spatio-Temporal Graph Neural Networks for Pandemic Forecasting. CIKM Yihong Ma, Patrick Gérard, Yijun Tian, Zhichun Guo, Nitesh V. Chawla
2022	J	`jnl`	NOSMOG: Learning Noise-robust and Structure-aware MLPs on Graphs. CoRR Yijun Tian, Chuxu Zhang, Zhichun Guo, Xiangliang Zhang, Nitesh V. Chawla
2022	A*	`conf`	Recipe2Vec: Multi-modal Recipe Representation Learning with Graph Neural Networks. IJCAI Yijun Tian, Chuxu Zhang, Zhichun Guo, Yihong Ma, Ronald A. Metoyer, Nitesh V. Chawla
2022	J	`jnl`	Recipe2Vec: Multi-modal Recipe Representation Learning with Graph Neural Networks. CoRR Yijun Tian, Chuxu Zhang, Zhichun Guo, Yihong Ma, Ronald A. Metoyer, Nitesh V. Chawla
2022	A*	`conf`	RecipeRec: A Heterogeneous Graph Learning Model for Recipe Recommendation. IJCAI Yijun Tian, Chuxu Zhang, Zhichun Guo, Chao Huang, Ronald A. Metoyer, Nitesh V. Chawla
2022	J	`jnl`	RecipeRec: A Heterogeneous Graph Learning Model for Recipe Recommendation. CoRR Yijun Tian, Chuxu Zhang, Zhichun Guo, Chao Huang, Ronald A. Metoyer, Nitesh V. Chawla
2021	J	`jnl`	Recipe Recommendation With Hierarchical Graph Attention Network. Frontiers Big Data Yijun Tian, Chuxu Zhang, Ronald A. Metoyer, Nitesh V. Chawla
2021	A	`conf`	Recipe Representation Learning with Networks. CIKM Yijun Tian, Chuxu Zhang, Ronald A. Metoyer, Nitesh V. Chawla
2020	A	`conf`	Quasi-Experimental Designs for Assessing Response on Social Media to Policy Changes. ICWSM Yijun Tian, Rumi Chunara
2020	J	`jnl`	Quasi-experimental Designs for Assessing Response on Social Media to Policy Changes. CoRR Yijun Tian, Rumi Chunara