Jian Liang - RankMe

55 papers A* 19A 2B 1Journal 30Unranked 3

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Exploring Structured Semantic Priors Underlying Diffusion Score for Test-time Adaptation. CoRR Mingjia Li, Shuang Li, Tongrui Su, Longhui Yuan, Jian Liang, Wei Li
2025	A*	`conf`	From Local Details to Global Context: Advancing Vision-Language Models with Attention-Based Selection. ICML Lincan Cai, Jingxuan Kang, Shuang Li, Wenxuan Ma, Binhui Xie, Zhida Qin, Jian Liang
2025	J	`jnl`	From Local Details to Global Context: Advancing Vision-Language Models with Attention-Based Selection. CoRR Lincan Cai, Jingxuan Kang, Shuang Li, Wenxuan Ma, Binhui Xie, Zhida Qin, Jian Liang
2025	A*	`conf`	Learning Time-Aware Causal Representation for Model Generalization in Evolving Domains. ICML Zhuo He, Shuang Li, Wenze Song, Longhui Yuan, Jian Liang, Han Li, Kun Gai
2025	J	`jnl`	Learning Time-Aware Causal Representation for Model Generalization in Evolving Domains. CoRR Zhuo He, Shuang Li, Wenze Song, Longhui Yuan, Jian Liang, Han Li, Kun Gai
2024	A*	`conf`	CLAP: Collaborative Adaptation for Patchwork Learning. ICLR Sen Cui, Abudukelimu Wuerkaixi, Weishen Pan, Jian Liang, Lei Fang, Changshui Zhang, Fei Wang
2024	A*	`conf`	Exploring Structured Semantic Priors Underlying Diffusion Score for Test-time Adaptation. NeurIPS Mingjia Li, Shuang Li, Tongrui Su, Longhui Yuan, Jian Liang, Wei Li
2024	J	`jnl`	Multi-Epoch learning with Data Augmentation for Deep Click-Through Rate Prediction. CoRR Zhongxiang Fan, Zhaocheng Liu, Jian Liang, Dongying Kong, Han Li, Peng Jiang, Shuang Li, Kun Gai
2024	A*	`conf`	Subjective Topic meets LLMs: Unleashing Comprehensive, Reflective and Creative Thinking through the Negation of Negation. EMNLP Fangrui Lv, Kaixiong Gong, Jian Liang, Xinyu Pang, Changshui Zhang
2024	A*	`conf`	Weight Diffusion for Future: Learn to Generalize in Non-Stationary Environments. NeurIPS Mixue Xie, Shuang Li, Binhui Xie, Chi Harold Liu, Jian Liang, Zixun Sun, Ke Feng, Chengwei Zhu
2023	A*	`conf`	Improving Generalization with Domain Convex Game. CVPR Fangrui Lv, Jian Liang, Shuang Li, Jinming Zhang, Di Liu
2023	J	`jnl`	Improving Generalization with Domain Convex Game. CoRR Fangrui Lv, Jian Liang, Shuang Li, Jinming Zhang, Di Liu
2023	A*	`conf`	Meta Graph Learning for Long-tail Recommendation. KDD Chunyu Wei, Jian Liang, Di Liu, Zehui Dai, Mang Li, Fei Wang
2023	J	`jnl`	Meta-Reweighted Regularization for Unsupervised Domain Adaptation. IEEE Trans. Knowl. Data Eng. Shuang Li, Wenxuan Ma, Jinming Zhang, Chi Harold Liu, Jian Liang, Guoren Wang
2022	B	`conf`	ACE: A Coarse-to-Fine Learning Framework for Reliable Representation Learning Against Label Noise. IJCNN Chenbin Zhang, Xiangli Yang, Jian Liang, Bing Bai, Kun Bai, Irwin King, Zenglin Xu
2022	A*	`conf`	Adversarial Filtering Modeling on Long-term User Behavior Sequences for Click-Through Rate Prediction. SIGIR Xiaochen Li, Jian Liang, Xialong Liu, Yu Zhang
2022	J	`jnl`	Adversarial Filtering Modeling on Long-term User Behavior Sequences for Click-Through Rate Prediction. CoRR Xiaochen Li, Rui Zhong, Jian Liang, Xialong Liu, Yu Zhang
2022	A*	`conf`	Causality Inspired Representation Learning for Domain Generalization. CVPR Fangrui Lv, Jian Liang, Shuang Li, Bin Zang, Chi Harold Liu, Ziteng Wang, Di Liu
2022	J	`jnl`	Causality Inspired Representation Learning for Domain Generalization. CoRR Fangrui Lv, Jian Liang, Shuang Li, Bin Zang, Chi Harold Liu, Ziteng Wang, Di Liu
2022	A*	`conf`	Collaboration Equilibrium in Federated Learning. KDD Sen Cui, Jian Liang, Weishen Pan, Kun Chen, Changshui Zhang, Fei Wang
2022	A	`conf`	Dynamic Hypergraph Learning for Collaborative Filtering. CIKM Chunyu Wei, Jian Liang, Bing Bai, Di Liu
2022	J	`jnl`	Model-Protected Multi-Task Learning. IEEE Trans. Pattern Anal. Mach. Intell. Jian Liang, Ziqi Liu, Jiayu Zhou, Xiaoqian Jiang, Changshui Zhang, Fei Wang
2022	A*	`conf`	Synergy-of-Experts: Collaborate to Improve Adversarial Robustness. NeurIPS Sen Cui, Jingfeng Zhang, Jian Liang, Bo Han, Masashi Sugiyama, Changshui Zhang
2021	A*	`conf`	Addressing Algorithmic Disparity and Performance Inconsistency in Federated Learning. NeurIPS Sen Cui, Weishen Pan, Jian Liang, Changshui Zhang, Fei Wang
2021	A*	`conf`	Bi-Classifier Determinacy Maximization for Unsupervised Domain Adaptation. AAAI Shuang Li, Fangrui Lv, Binhui Xie, Chi Harold Liu, Jian Liang, Chen Qin
2021	J	`jnl`	Fair and Consistent Federated Learning. CoRR Sen Cui, Weishen Pan, Jian Liang, Changshui Zhang, Fei Wang
2021	J	`jnl`	Incentive Compatible Pareto Alignment for Multi-Source Large Graphs. CoRR Jian Liang, Fangrui Lv, Di Liu, Zehui Dai, Xu Tian, Shuang Li, Fei Wang, Han Li
2021	J	`jnl`	Learning to Collaborate. CoRR Sen Cui, Jian Liang, Weishen Pan, Kun Chen, Changshui Zhang, Fei Wang
2021	A*	`conf`	Pareto Domain Adaptation. NeurIPS Fangrui Lv, Jian Liang, Kaixiong Gong, Shuang Li, Chi Harold Liu, Han Li, Di Liu, Guoren Wang
2021	J	`jnl`	Pareto Domain Adaptation. CoRR Fangrui Lv, Jian Liang, Kaixiong Gong, Shuang Li, Chi Harold Liu, Han Li, Di Liu, Guoren Wang
2021	A*	`conf`	Policy-Driven Attack: Learning to Query for Hard-label Black-box Adversarial Examples. ICLR Ziang Yan, Yiwen Guo, Jian Liang, Changshui Zhang
2021	J	`jnl`	Robust Few-Shot Learning for User-Provided Data. IEEE Trans. Neural Networks Learn. Syst. Jiang Lu, Sheng Jin, Jian Liang, Changshui Zhang
2021	A*	`conf`	Semantic Concentration for Domain Adaptation. ICCV Shuang Li, Mixue Xie, Fangrui Lv, Chi Harold Liu, Jian Liang, Chen Qin, Wei Li
2021	J	`jnl`	Semantic Concentration for Domain Adaptation. CoRR Shuang Li, Mixue Xie, Fangrui Lv, Chi Harold Liu, Jian Liang, Chen Qin, Wei Li
2020	J	`jnl`	Bi-Classifier Determinacy Maximization for Unsupervised Domain Adaptation. CoRR Shuang Li, Fangrui Lv, Binhui Xie, Chi Harold Liu, Jian Liang, Chen Qin
2020	J	`jnl`	Domain Agnostic Learning for Unbiased Authentication. CoRR Jian Liang, Yuren Cao, Shuang Li, Bing Bai, Hao Li, Fei Wang, Kun Bai
2020	J	`jnl`	Hybrid Differentially Private Federated Learning on Vertically Partitioned Data. CoRR Chang Wang, Jian Liang, Mingkai Huang, Bing Bai, Kun Bai, Hao Li
2020	J	`jnl`	Relation-Guided Representation Learning. CoRR Zhao Kang, Xiao Lu, Jian Liang, Kun Bai, Zenglin Xu
2020	J	`jnl`	Relation-Guided Representation Learning. Neural Networks Zhao Kang, Xiao Lu, Jian Liang, Kun Bai, Zenglin Xu
2020	J	`jnl`	Reliable Evaluations for Natural Language Inference based on a Unified Cross-dataset Benchmark. CoRR Guanhua Zhang, Bing Bai, Jian Liang, Kun Bai, Conghui Zhu, Tiejun Zhao
2020	J	`jnl`	Robust Finite Mixture Regression for Heterogeneous Targets. CoRR Jian Liang, Kun Chen, Ming Lin, Changshui Zhang, Fei Wang
2020	A*	`conf`	Two Sides of the Same Coin: White-box and Black-box Attacks for Transfer Learning. KDD Yinghua Zhang, Yangqiu Song, Jian Liang, Kun Bai, Qiang Yang
2020	J	`jnl`	Two Sides of the Same Coin: White-box and Black-box Attacks for Transfer Learning. CoRR Yinghua Zhang, Yangqiu Song, Jian Liang, Kun Bai, Qiang Yang
2019	A*	`conf`	Additive Adversarial Learning for Unbiased Authentication. CVPR Jian Liang, Yuren Cao, Chenbin Zhang, Shiyu Chang, Kun Bai, Zenglin Xu
2019	J	`jnl`	Additive Adversarial Learning for Unbiased Authentication. CoRR Jian Liang, Yuren Cao, Chenbin Zhang, Shiyu Chang, Kun Bai, Zenglin Xu
2019	—	`conf`	Selection Bias Explorations and Debias Methods for Natural Language Sentence Matching Datasets. ACL (1) Guanhua Zhang, Bing Bai, Jian Liang, Kun Bai, Shiyu Chang, Mo Yu, Conghui Zhu, Tiejun Zhao
2019	J	`jnl`	Selection Bias Explorations and Debias Methods for Natural Language Sentence Matching Datasets. CoRR Guanhua Zhang, Bing Bai, Jian Liang, Kun Bai, Shiyu Chang, Mo Yu, Conghui Zhu, Tiejun Zhao
2018	J	`jnl`	Leveraging mixed and incomplete outcomes via reduced-rank modeling. J. Multivar. Anal. Chongliang Luo, Jian Liang, Gen Li, Fei Wang, Changshui Zhang, Dipak K. Dey, Kun Chen
2018	J	`jnl`	Model-Protected Multi-Task Learning. CoRR Jian Liang, Ziqi Liu, Jiayu Zhou, Xiaoqian Jiang, Changshui Zhang, Fei Wang
2018	J	`jnl`	Robust finite mixture regression for heterogeneous targets. Data Min. Knowl. Discov. Jian Liang, Kun Chen, Ming Lin, Changshui Zhang, Fei Wang
2017	A	`conf`	An RNN Architecture with Dynamic Temporal Matching for Personalized Predictions of Parkinson's Disease. SDM Chao Che, Cao Xiao, Jian Liang, Bo Jin, Jiayu Zho, Fei Wang
2017	J	`jnl`	Weakly- and Semi-Supervised Object Detection with Expectation-Maximization Algorithm. CoRR Ziang Yan, Jian Liang, Weishen Pan, Jin Li, Changshui Zhang
2016	J	`jnl`	DeepFish: Accurate underwater live fish recognition with a deep architecture. Neurocomputing Hongwei Qin, Xiu Li, Jian Liang, YiGang Peng, Changshui Zhang
2016	—	`conf`	Poster Paper: Predicting Seizures from Electroencephalography Recordings: A Knowledge Transfer Strategy. ICHI Jian Liang, Rui Lu, Changshui Zhang, Fei Wang
2016	—	`conf`	Predicting Seizures from Electroencephalography Recordings: A Knowledge Transfer Strategy. ICHI Jian Liang, Rui Lu, Changshui Zhang, Fei Wang