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Jiliang Tang

Publication record assembled from the DBLP archive of ranked conferences.

Papers indexed

240

Venues

26

Active years

2011–2026

Best venue rank

A*

Where they publish

Papers

240 indexed papers, newest first.

YearVenueTitleAuthors
2026AAAILearning the Latent Structure: A Feature-Centric Approach to Graph Data Augmentation.Yu Song, Zhigang Hua, Yan Xie, Bingheng Li, Jingzhe Liu, Bo Long, Jiliang Tang, Hui Liu
2026ACLA Reward-Guided Dual-Phase Framework for Adaptive Inference-Time Reasoning.Yingqian Cui, Zhenwei Dai, Pengfei He, Bing He, Hui Liu, Zhan Shi, Xianfeng Tang, Jingying Zeng, Suhang Wang, Yue Xing, Jiliang Tang, Benoit Dumoulin
2026ACLRetrieval Heads are Dynamic.Yuping Lin, Zitao Li, Yue Xing, Pengfei He, Yingqian Cui, Yaliang Li, Bolin Ding, Jingren Zhou, Jiliang Tang
2026ACLHow Memory Management Impacts LLM Agents: An Empirical Study of Experience-Following Behavior.Zidi Xiong, Yuping Lin, Wenya Xie, Pengfei He, Zirui Liu, Jiliang Tang, Himabindu Lakkaraju, Zhen Xiang
2026AIEDOptimizing In-Context Demonstrations for LLM-Based Automated Grading.Yucheng Chu, Hang Li, Kaiqi Yang, Yasemin Copur-Gencturk, Kevin C. Haudek, Joseph Krajcik, Namsoo Shin, Jiliang Tang
2026WWWReasoning by Exploration: A Unified Approach to Retrieval and Generation over Graphs.Haoyu Han, Kai Guo, Harry Shomer, Yu Wang, Yucheng Chu, Hang Li, Li Ma, Jiliang Tang
2025ACLReasoning with Graphs: Structuring Implicit Knowledge to Enhance LLMs Reasoning.Haoyu Han, Yaochen Xie, Hui Liu, Xianfeng Tang, Sreyashi Nag, William Headden, Yang Li, Chen Luo, Shuiwang Ji, Qi He, Jiliang Tang
2025ACLUnveiling Privacy Risks in LLM Agent Memory.Bo Wang, Weiyi He, Shenglai Zeng, Zhen Xiang, Yue Xing, Jiliang Tang, Pengfei He
2025ACLStepwise Perplexity-Guided Refinement for Efficient Chain-of-Thought Reasoning in Large Language Models.Yingqian Cui, Pengfei He, Jingying Zeng, Hui Liu, Xianfeng Tang, Zhenwei Dai, Yan Han, Chen Luo, Jing Huang, Zhen Li, Suhang Wang, Yue Xing, Jiliang Tang, Qi He
2025ACLMixture of Structural-and-Textual Retrieval over Text-rich Graph Knowledge Bases.Yongjia Lei, Haoyu Han, Ryan A. Rossi, Franck Dernoncourt, Nedim Lipka, Mahantesh M. Halappanavar, Jiliang Tang, Yu Wang
2025AISTATSA Theoretical Understanding of Chain-of-Thought: Coherent Reasoning and Error-Aware Demonstration.Yingqian Cui, Pengfei He, Xianfeng Tang, Qi He, Chen Luo, Jiliang Tang, Yue Xing
2025AISTATSSuperiority of Multi-Head Attention: A Theoretical Study in Shallow Transformers in In-Context Linear Regression.Yingqian Cui, Jie Ren, Pengfei He, Hui Liu, Jiliang Tang, Yue Xing
2025CVPRSix-CD: Benchmarking Concept Removals for Text-to-image Diffusion Models.Jie Ren, Kangrui Chen, Yingqian Cui, Shenglai Zeng, Hui Liu, Yue Xing, Jiliang Tang, Lingjuan Lyu
2025EDMBringing Generative Artificial Intelligence (GenAI) to Education.Hang Li, Kaiqi Yang, Yucheng Chu, Jiliang Tang
2025EDMA LLM-Powered Automatic Grading Framework with Human-Level Guidelines Optimization.Yucheng Chu, Hang Li, Kaiqi Yang, Harry Shomer, Yasemin Copur-Gencturk, Leonora Kaldaras, Kevin C. Haudek, Joseph Krajcik, Namsoo Shin, Hui Liu, Jiliang Tang
2025EDMEnhancing LLM-Based Short Answer Grading with Retrieval-Augmented Generation.Yucheng Chu, Peng He, Hang Li, Haoyu Han, Kaiqi Yang, Yu Xue, Tingting Li, Joseph Krajcik, Jiliang Tang
2025EMNLPEmpowering GraphRAG with Knowledge Filtering and Integration.Kai Guo, Harry Shomer, Shenglai Zeng, Haoyu Han, Yu Wang, Jiliang Tang
2025EMNLPAdvancing Reasoning with Off-the-Shelf LLMs: A Semantic Structure Perspective.Pengfei He, Zitao Li, Yue Xing, Yaliang Li, Jiliang Tang, Bolin Ding
2025EMNLPMitigating the Privacy Issues in Retrieval-Augmented Generation (RAG) via Pure Synthetic Data.Shenglai Zeng, Jiankun Zhang, Pengfei He, Jie Ren, Tianqi Zheng, Hanqing Lu, Han Xu, Hui Liu, Yue Xing, Jiliang Tang
2025ICLRAutoG: Towards automatic graph construction from tabular data.Zhikai Chen, Han Xie, Jian Zhang, Xiang Song, Jiliang Tang, Huzefa Rangwala, George Karypis
2025ICLRHow Do Large Language Models Understand Graph Patterns? A Benchmark for Graph Pattern Comprehension.Xinnan Dai, Haohao Qu, Yifei Shen, Bohang Zhang, Qihao Wen, Wenqi Fan, Dongsheng Li, Jiliang Tang, Caihua Shan
2025KDDThe 2nd Workshop on Large Language Models for E-Commerce.Haoyu Han, Fali Wang, Chen Luo, Hui Liu, Jing Huang, Zhen Li, Zhenwei Dai, Qi He, Yiwei Sun, Dawei Yin, Suhang Wang, Jiliang Tang, Jian Pei, Xianfeng Tang
2025KDDMachine Learning on Graphs in the Era of Generative Artificial Intelligence.Yu Wang, Yu Zhang, Zhichun Guo, Harry Shomer, Haoyu Han, Tyler Derr, Nesreen K. Ahmed, Mahantesh Halappanavar, Jiliang Tang
2025KDDUnveiling Mode Connectivity in Graph Neural Network.Bingheng Li, Zhikai Chen, Haoyu Han, Shenglai Zeng, Jingzhe Liu, Jiliang Tang
2025KDDTowards Understanding Link Predictor Generalizability Under Distribution Shifts.Jay Revolinsky, Harry Shomer, Jiliang Tang
2025KDDTowards Better Benchmark Datasets for Inductive Knowledge Graph Completion.Harry Shomer, Jay Revolinsky, Jiliang Tang
2025KDDA Survey on Small Language Models in the Era of Large Language Models: Architecture, Capabilities, and Trustworthiness.Fali Wang, Minhua Lin, Yao Ma, Hui Liu, Qi He, Xianfeng Tang, Jiliang Tang, Jian Pei, Suhang Wang
2025NAACLData Poisoning for In-context Learning.Pengfei He, Han Xu, Yue Xing, Hui Liu, Makoto Yamada, Jiliang Tang
2025NAACLLearning with Less: Knowledge Distillation from Large Language Models via Unlabeled Data.Juanhui Li, Sreyashi Nag, Hui Liu, Xianfeng Tang, Sheikh Muhammad Sarwar, Limeng Cui, Hansu Gu, Suhang Wang, Qi He, Jiliang Tang
2025NAACLA Survey to Recent Progress Towards Understanding In-Context Learning.Haitao Mao, Guangliang Liu, Yao Ma, Rongrong Wang, Kristen Marie Johnson, Jiliang Tang
2025NAACLTowards Knowledge Checking in Retrieval-augmented Generation: A Representation Perspective.Shenglai Zeng, Jiankun Zhang, Bingheng Li, Yuping Lin, Tianqi Zheng, Dante Everaert, Hanqing Lu, Hui Liu, Hui Liu, Yue Xing, Monica Xiao Cheng, Jiliang Tang
2025WWWLarge Language Model for E-Commerce Workshop.Haoyu Han, Xianfeng Tang, Jing Huang, Monica Xiao Cheng, Omar Alonso, Hanqing Lu, Zhen Li, Chen Luo, Dawei Yin, Jiliang Tang
2025WWWSelf-Comparison for Dataset-Level Membership Inference in Large (Vision-)Language Model.Jie Ren, Kangrui Chen, Chen Chen, Vikash Sehwag, Yue Xing, Jiliang Tang, Lingjuan Lyu
2024ACLExploring Memorization in Fine-tuned Language Models.Shenglai Zeng, Yaxin Li, Jie Ren, Yiding Liu, Han Xu, Pengfei He, Yue Xing, Shuaiqiang Wang, Jiliang Tang, Dawei Yin
2024ACLThe Good and The Bad: Exploring Privacy Issues in Retrieval-Augmented Generation (RAG).Shenglai Zeng, Jiankun Zhang, Pengfei He, Yiding Liu, Yue Xing, Han Xu, Jie Ren, Yi Chang, Shuaiqiang Wang, Dawei Yin, Jiliang Tang
2024AIEDContent Knowledge Identification with Multi-agent Large Language Models (LLMs).Kaiqi Yang, Yucheng Chu, Taylor Darwin, Ahreum Han, Hang Li, Hongzhi Wen, Yasemin Copur-Gencturk, Jiliang Tang, Hui Liu
2024ECCVUnveiling and Mitigating Memorization in Text-to-Image Diffusion Models Through Cross Attention.Jie Ren, Yaxin Li, Shenglai Zeng, Han Xu, Lingjuan Lyu, Yue Xing, Jiliang Tang
2024EMNLPTowards Understanding Jailbreak Attacks in LLMs: A Representation Space Analysis.Yuping Lin, Pengfei He, Han Xu, Yue Xing, Makoto Yamada, Hui Liu, Jiliang Tang
2024EMNLPIntrinsic Self-correction for Enhanced Morality: An Analysis of Internal Mechanisms and the Superficial Hypothesis.Guangliang Liu, Haitao Mao, Jiliang Tang, Kristen Marie Johnson
2024EMNLPOn the Generalization of Training-based ChatGPT Detection Methods.Han Xu, Jie Ren, Pengfei He, Shenglai Zeng, Yingqian Cui, Amy Liu, Hui Liu, Jiliang Tang
2024EMNLPAre Large Language Models (LLMs) Good Social Predictors?Kaiqi Yang, Hang Li, Hongzhi Wen, Tai-Quan Peng, Jiliang Tang, Hui Liu
2024ICLRLabel-free Node Classification on Graphs with Large Language Models (LLMs).Zhikai Chen, Haitao Mao, Hongzhi Wen, Haoyu Han, Wei Jin, Haiyang Zhang, Hui Liu, Jiliang Tang
2024ICLRStructural Fairness-aware Active Learning for Graph Neural Networks.Haoyu Han, Xiaorui Liu, Li Ma, MohamadAli Torkamani, Hui Liu, Jiliang Tang, Makoto Yamada
2024ICLRSharpness-Aware Data Poisoning Attack.Pengfei He, Han Xu, Jie Ren, Yingqian Cui, Shenglai Zeng, Hui Liu, Charu C. Aggarwal, Jiliang Tang
2024ICLRRevisiting Link Prediction: a data perspective.Haitao Mao, Juanhui Li, Harry Shomer, Bingheng Li, Wenqi Fan, Yao Ma, Tong Zhao, Neil Shah, Jiliang Tang
2024ICLRCellPLM: Pre-training of Cell Language Model Beyond Single Cells.Hongzhi Wen, Wenzhuo Tang, Xinnan Dai, Jiayuan Ding, Wei Jin, Yuying Xie, Jiliang Tang
2024ICMLPosition: TrustLLM: Trustworthiness in Large Language Models.Yue Huang, Lichao Sun, Haoran Wang, Siyuan Wu, Qihui Zhang, Yuan Li, Chujie Gao, Yixin Huang, Wenhan Lyu, Yixuan Zhang, Xiner Li, Hanchi Sun, Zhengliang Liu, Yixin Liu, Yijue Wang, Zhikun Zhang, Bertie Vidgen, Bhavya Kailkhura, Caiming Xiong, Chaowei Xiao, Chunyuan Li, Eric P. Xing, Furong Huang, Hao Liu, Heng Ji, Hongyi Wang, Huan Zhang, Huaxiu Yao, Manolis Kellis, Marinka Zitnik, Meng Jiang, Mohit Bansal, James Zou, Jian Pei, Jian Liu, Jianfeng Gao, Jiawei Han, Jieyu Zhao, Jiliang Tang, Jindong Wang, Joaquin Vanschoren, John C. Mitchell, Kai Shu, Kaidi Xu, Kai-Wei Chang, Lifang He, Lifu Huang, Michael Backes, Neil Zhenqiang Gong, Philip S. Yu, Pin-Yu Chen, Quanquan Gu, Ran Xu, Rex Ying, Shuiwang Ji, Suman Jana, Tianlong Chen, Tianming Liu, Tianyi Zhou, William Wang, Xiang Li, Xiangliang Zhang, Xiao Wang, Xing Xie, Xun Chen, Xuyu Wang, Yan Liu, Yanfang Ye, Yinzhi Cao, Yong Chen, Yue Zhao
2024ICMLFeature Distribution on Graph Topology Mediates the Effect of Graph Convolution: Homophily Perspective.Soo Yong Lee, Sunwoo Kim, Fanchen Bu, Jaemin Yoo, Jiliang Tang, Kijung Shin
2024ICMLPDHG-Unrolled Learning-to-Optimize Method for Large-Scale Linear Programming.Bingheng Li, Linxin Yang, Yupeng Chen, Senmiao Wang, Haitao Mao, Qian Chen, Yao Ma, Akang Wang, Tian Ding, Jiliang Tang, Ruoyu Sun
2024ICMLPosition: Graph Foundation Models Are Already Here.Haitao Mao, Zhikai Chen, Wenzhuo Tang, Jianan Zhao, Yao Ma, Tong Zhao, Neil Shah, Mikhail Galkin, Jiliang Tang
2024KDDInvestigating Out-of-Distribution Generalization of GNNs: An Architecture Perspective.Kai Guo, Hongzhi Wen, Wei Jin, Yaming Guo, Jiliang Tang, Yi Chang
2024KDDLPFormer: An Adaptive Graph Transformer for Link Prediction.Harry Shomer, Yao Ma, Haitao Mao, Juanhui Li, Bo Wu, Jiliang Tang
2024KDDAI for Education (AI4EDU): Advancing Personalized Education with LLM and Adaptive Learning.Qingsong Wen, Jing Liang, Carles Sierra, Rose Luckin, Richard Jiarui Tong, Zitao Liu, Peng Cui, Jiliang Tang
2024MOBICOMUncovering Problematic Designs Hindering Ubiquitous Cellular Emergency Services Access.Yiwen Hu, Min-Yue Chen, Haitian Yan, Chuan-Yi Cheng, Guan-Hua Tu, Chi-Yu Li, Tian Xie, Chunyi Peng, Li Xiao, Jiliang Tang
2024MOBICOMDemeter-Demo: Demonstrating Cross-soil LPWAN with Low-cost Signal Polarization Alignment.Yidong Ren, Yawen Wang, Younsuk Dong, Shigang Chen, Mi Zhang, Jiliang Tang, Zhichao Cao
2024NAACLA Robust Semantics-based Watermark for Large Language Model against Paraphrasing.Jie Ren, Han Xu, Yiding Liu, Yingqian Cui, Shuaiqiang Wang, Dawei Yin, Jiliang Tang
2024WWWThe 1st International Workshop on Graph Foundation Models (GFM).Haitao Mao, Jianan Zhao, Xiaoxin He, Zhikai Chen, Qian Huang, Zhaocheng Zhu, Jian Tang, Michael M. Bronstein, Xavier Bresson, Bryan Hooi, Haiyang Zhang, Xianfeng Tang, Luo Chen, Jiliang Tang
2024WWWWhole Page Unbiased Learning to Rank.Haitao Mao, Lixin Zou, Yujia Zheng, Jiliang Tang, Xiaokai Chu, Jiashu Zhao, Qian Wang, Dawei Yin
2024WWWMasked Graph Autoencoder with Non-discrete Bandwidths.Ziwen Zhao, Yuhua Li, Yixiong Zou, Jiliang Tang, Ruixuan Li
2023ACLAre Message Passing Neural Networks Really Helpful for Knowledge Graph Completion?Juanhui Li, Harry Shomer, Jiayuan Ding, Yiqi Wang, Yao Ma, Neil Shah, Jiliang Tang, Dawei Yin
2023CIKMSingle-Cell Multimodal Prediction via Transformers.Wenzhuo Tang, Hongzhi Wen, Renming Liu, Jiayuan Ding, Wei Jin, Yuying Xie, Hui Liu, Jiliang Tang
2023EMNLPDistance-Based Propagation for Efficient Knowledge Graph Reasoning.Harry Shomer, Yao Ma, Juanhui Li, Bo Wu, Charu C. Aggarwal, Jiliang Tang
2023ICDEJointly Attacking Graph Neural Network and its Explanations.Wenqi Fan, Han Xu, Wei Jin, Xiaorui Liu, Xianfeng Tang, Suhang Wang, Qing Li, Jiliang Tang, Jianping Wang, Charu C. Aggarwal
2023ICLREmpowering Graph Representation Learning with Test-Time Graph Transformation.Wei Jin, Tong Zhao, Jiayuan Ding, Yozen Liu, Jiliang Tang, Neil Shah
2023ICLRTransferable Unlearnable Examples.Jie Ren, Han Xu, Yuxuan Wan, Xingjun Ma, Lichao Sun, Jiliang Tang
2023ICMLAlternately Optimized Graph Neural Networks.Haoyu Han, Xiaorui Liu, Haitao Mao, MohamadAli Torkamani, Feng Shi, Victor Lee, Jiliang Tang
2023ICMLProbabilistic Categorical Adversarial Attack and Adversarial Training.Han Xu, Pengfei He, Jie Ren, Yuxuan Wan, Zitao Liu, Hui Liu, Jiliang Tang
2023IJCAIGenerative Diffusion Models on Graphs: Methods and Applications.Chengyi Liu, Wenqi Fan, Yunqing Liu, Jiatong Li, Hang Li, Hui Liu, Jiliang Tang, Qing Li
2023KDDHow does the Memorization of Neural Networks Impact Adversarial Robust Models?Han Xu, Xiaorui Liu, Wentao Wang, Zitao Liu, Anil K. Jain, Jiliang Tang
2023KDDDeep Learning on Graphs: Methods and Applications (DLG-KDD2023).Lingfei Wu, Jian Pei, Jiliang Tang, Yinglong Xia, Xiaojie Guo
2023KDDLarge-Scale Graph Neural Networks: The Past and New Frontiers.Rui Xue, Haoyu Han, Tong Zhao, Neil Shah, Jiliang Tang, Xiaorui Liu
2023WWWToward Degree Bias in Embedding-Based Knowledge Graph Completion.Harry Shomer, Wei Jin, Wentao Wang, Jiliang Tang
2023SIGIRGraph Enhanced BERT for Query Understanding.Juanhui Li, Wei Zeng, Suqi Cheng, Yao Ma, Jiliang Tang, Shuaiqiang Wang, Dawei Yin
2022AAAIMulti-Type Urban Crime Prediction.Xiangyu Zhao, Wenqi Fan, Hui Liu, Jiliang Tang
2022ACLToward Annotator Group Bias in Crowdsourcing.Haochen Liu, Joseph Thekinen, Sinem Mollaoglu, Da Tang, Ji Yang, Youlong Cheng, Hui Liu, Jiliang Tang
2022CIKMPROPN: Personalized Probabilistic Strategic Parameter Optimization in Recommendations.Pengfei He, Haochen Liu, Xiangyu Zhao, Hui Liu, Jiliang Tang
2022COLINGEvaluating and Mitigating Inherent Linguistic Bias of African American English through Inference.Jamell Dacon, Haochen Liu, Jiliang Tang
2022ICDMImbalanced Adversarial Training with Reweighting.Wentao Wang, Han Xu, Xiaorui Liu, Yaxin Li, Bhavani Thuraisingham, Jiliang Tang
2022ICLRIs Homophily a Necessity for Graph Neural Networks?Yao Ma, Xiaorui Liu, Neil Shah, Jiliang Tang
2022ICLRAutomated Self-Supervised Learning for Graphs.Wei Jin, Xiaorui Liu, Xiangyu Zhao, Yao Ma, Neil Shah, Jiliang Tang
2022ICLRGraph Condensation for Graph Neural Networks.Wei Jin, Lingxiao Zhao, Shichang Zhang, Yozen Liu, Jiliang Tang, Neil Shah
2022KDDTowards Adversarial Learning: From Evasion Attacks to Poisoning Attacks.Wentao Wang, Han Xu, Yuxuan Wan, Jie Ren, Jiliang Tang
2022KDDEfficient Machine Learning on Large-Scale Graphs.Parker Erickson, Victor E. Lee, Feng Shi, Jiliang Tang
2022KDDFeature Overcorrelation in Deep Graph Neural Networks: A New Perspective.Wei Jin, Xiaorui Liu, Yao Ma, Charu C. Aggarwal, Jiliang Tang
2022KDDCondensing Graphs via One-Step Gradient Matching.Wei Jin, Xianfeng Tang, Haoming Jiang, Zheng Li, Danqing Zhang, Jiliang Tang, Bing Yin
2022KDDGraph Neural Networks for Multimodal Single-Cell Data Integration.Hongzhi Wen, Jiayuan Ding, Wei Jin, Yiqi Wang, Yuying Xie, Jiliang Tang
2022KDDDeep Learning on Graphs: Methods and Applications (DLG-KDD2022).Lingfei Wu, Jian Pei, Jiliang Tang, Yinglong Xia, Xiaojie Guo
2022WWWAccepted Tutorials at The Web Conference 2022.Riccardo Tommasini, Senjuti Basu Roy, Xuan Wang, Hongwei Wang, Heng Ji, Jiawei Han, Preslav Nakov, Giovanni Da San Martino, Firoj Alam, Markus Schedl, Elisabeth Lex, Akash Bharadwaj, Graham Cormode, Milan Dojchinovski, Jan Forberg, Johannes Frey, Pieter Bonte, Marco Balduini, Matteo Belcao, Emanuele Della Valle, Junliang Yu, Hongzhi Yin, Tong Chen, Haochen Liu, Yiqi Wang, Wenqi Fan, Xiaorui Liu, Jamell Dacon, Lingjuan Lyu, Jiliang Tang, Aristides Gionis, Stefan Neumann, Bruno Ordozgoiti, Simon Razniewski, Hiba Arnaout, Shrestha Ghosh, Fabian M. Suchanek, Lingfei Wu, Yu Chen, Yunyao Li, Bang Liu, Filip Ilievski, Daniel Garijo, Hans Chalupsky, Pedro A. Szekely, Ilias Kanellos, Dimitris Sacharidis, Thanasis Vergoulis, Nurendra Choudhary, Nikhil Rao, Karthik Subbian, Srinivasan H. Sengamedu, Chandan K. Reddy, Friedhelm Victor, Bernhard Haslhofer, George Katsogiannis-Meimarakis, Georgia Koutrika, Shengmin Jin, Danai Koutra, Reza Zafarani, Yulia Tsvetkov, Vidhisha Balachandran, Sachin Kumar, Xiangyu Zhao, Bo Chen, Huifeng Guo, Yejing Wang, Ruiming Tang, Yang Zhang, Wenjie Wang, Peng Wu, Fuli Feng, Xiangnan He
2022WWWRating Distribution Calibration for Selection Bias Mitigation in Recommendations.Haochen Liu, Da Tang, Ji Yang, Xiangyu Zhao, Hui Liu, Jiliang Tang, Youlong Cheng
2022SIGIRGraph Trend Filtering Networks for Recommendation.Wenqi Fan, Xiaorui Liu, Wei Jin, Xiangyu Zhao, Jiliang Tang, Qing Li
2022SDMLocalized Graph Collaborative Filtering.Yiqi Wang, Chaozhuo Li, Mingzheng Li, Wei Jin, Yuming Liu, Hao Sun, Xing Xie, Jiliang Tang
2022SDMLearning from Imbalanced Crowdsourced Labeled Data.Wentao Wang, Joseph Thekinen, Xiaorui Liu, Zitao Liu, Jiliang Tang
2021AAAIDeepRobust: a Platform for Adversarial Attacks and Defenses.Yaxin Li, Wei Jin, Han Xu, Jiliang Tang
2021AAAIDEAR: Deep Reinforcement Learning for Online Advertising Impression in Recommender Systems.Xiangyu Zhao, Changsheng Gu, Haoshenglun Zhang, Xiwang Yang, Xiaobing Liu, Jiliang Tang, Hui Liu
2021ACLThe Authors Matter: Understanding and Mitigating Implicit Bias in Deep Text Classification.Haochen Liu, Wei Jin, Hamid Karimi, Zitao Liu, Jiliang Tang
2021AIEDMulti-task Learning Based Online Dialogic Instruction Detection with Pre-trained Language Models.Yang Hao, Hang Li, Wenbiao Ding, Zhongqin Wu, Jiliang Tang, Rose Luckin, Zitao Liu
2021AIEDSolving ESL Sentence Completion Questions via Pre-trained Neural Language Models.Qiongqiong Liu, Tianqiao Liu, Jiafu Zhao, Qiang Fang, Wenbiao Ding, Zhongqin Wu, Feng Xia, Jiliang Tang, Zitao Liu
2021CIKMA Unified View on Graph Neural Networks as Graph Signal Denoising.Yao Ma, Xiaorui Liu, Tong Zhao, Yozen Liu, Jiliang Tang, Neil Shah
2021CIKMDeep Adversarial Network Alignment.Tyler Derr, Hamid Karimi, Xiaorui Liu, Jiejun Xu, Jiliang Tang
2021CIKMGraph Feature Gating Networks.Wei Jin, Xiaorui Liu, Yao Ma, Tyler Derr, Charu C. Aggarwal, Jiliang Tang
2021ICDEAttacking Black-box Recommendations via Copying Cross-domain User Profiles.Wenqi Fan, Tyler Derr, Xiangyu Zhao, Yao Ma, Hui Liu, Jianping Wang, Jiliang Tang, Qing Li
2021ICDMAutoEmb: Automated Embedding Dimensionality Search in Streaming Recommendations.Xiangyu Zhao, Haochen Liu, Wenqi Fan, Hui Liu, Jiliang Tang, Chong Wang, Ming Chen, Xudong Zheng, Xiaobing Liu, Xiwang Yang
2021ICLRLinear Convergent Decentralized Optimization with Compression.Xiaorui Liu, Yao Li, Rongrong Wang, Jiliang Tang, Ming Yan
2021ICMLElastic Graph Neural Networks.Xiaorui Liu, Wei Jin, Yao Ma, Yaxin Li, Hua Liu, Yiqi Wang, Ming Yan, Jiliang Tang
2021ICMLTo be Robust or to be Fair: Towards Fairness in Adversarial Training.Han Xu, Xiaorui Liu, Yaxin Li, Anil K. Jain, Jiliang Tang
2021KDDGraph Adversarial Attack via Rewiring.Yao Ma, Suhang Wang, Tyler Derr, Lingfei Wu, Jiliang Tang
2021KDDGraph Representation Learning: Foundations, Methods, Applications and Systems.Wei Jin, Yao Ma, Yiqi Wang, Xiaorui Liu, Jiliang Tang, Yukuo Cen, Jiezhong Qiu, Jie Tang, Chuan Shi, Yanfang Ye, Jiawei Zhang, Philip S. Yu
2021KDDMulti-Scale One-Class Recurrent Neural Networks for Discrete Event Sequence Anomaly Detection.Zhiwei Wang, Zhengzhang Chen, Jingchao Ni, Hui Liu, Haifeng Chen, Jiliang Tang
2021KDDThe Sixth International Workshop on Deep Learning on Graphs - Methods and Applications (DLG-KDD'21).Lingfei Wu, Jiliang Tang, Yinglong Xia, Jian Pei, Xiaojie Guo
2021KDDAdversarial Robustness in Deep Learning: From Practices to Theories.Han Xu, Yaxin Li, Xiaorui Liu, Wentao Wang, Jiliang Tang
2021KDDAutoLoss: Automated Loss Function Search in Recommendations.Xiangyu Zhao, Haochen Liu, Wenqi Fan, Hui Liu, Jiliang Tang, Chong Wang
2021WWWAutoDim: Field-aware Embedding Dimension Searchin Recommender Systems.Xiangyu Zhao, Haochen Liu, Hui Liu, Jiliang Tang, Weiwei Guo, Jun Shi, Sida Wang, Huiji Gao, Bo Long
2021WWWUserSim: User Simulation via Supervised GenerativeAdversarial Network.Xiangyu Zhao, Long Xia, Lixin Zou, Hui Liu, Dawei Yin, Jiliang Tang
2021WSDMNode Similarity Preserving Graph Convolutional Networks.Wei Jin, Tyler Derr, Yiqi Wang, Yao Ma, Zitao Liu, Jiliang Tang
2021SDMYet Meta Learning Can Adapt Fast, it Can Also Break Easily.Han Xu, Yaxin Li, Xiaorui Liu, Hui Liu, Jiliang Tang
2020AAAIGraduate Employment Prediction with Bias.Teng Guo, Feng Xia, Shihao Zhen, Xiaomei Bai, Dongyu Zhang, Zitao Liu, Jiliang Tang
2020AAAILearning Multi-Level Dependencies for Robust Word Recognition.Zhiwei Wang, Hui Liu, Jiliang Tang, Songfan Yang, Gale Yan Huang, Zitao Liu
2020AIEDNeural Multi-task Learning for Teacher Question Detection in Online Classrooms.Gale Yan Huang, Jiahao Chen, Haochen Liu, Weiping Fu, Wenbiao Ding, Jiliang Tang, Songfan Yang, Guoliang Li, Zitao Liu
2020AIEDTowards Improving Sample Representativeness of Teachers on Online Social Media: A Case Study on Pinterest.Hamid Karimi, Tyler Derr, Kaitlin T. Torphy, Kenneth A. Frank, Jiliang Tang
2020AIEDSiamese Neural Networks for Class Activity Detection.Hang Li, Zhiwei Wang, Jiliang Tang, Wenbiao Ding, Zitao Liu
2020AISTATSA Double Residual Compression Algorithm for Efficient Distributed Learning.Xiaorui Liu, Yao Li, Jiliang Tang, Ming Yan
2020CIKMInvestigating and Mitigating Degree-Related Biases in Graph Convoltuional Networks.Xianfeng Tang, Huaxiu Yao, Yiwei Sun, Yiqi Wang, Jiliang Tang, Charu C. Aggarwal, Prasenjit Mitra, Suhang Wang
2020CIKMWhole-Chain Recommendations.Xiangyu Zhao, Long Xia, Lixin Zou, Hui Liu, Dawei Yin, Jiliang Tang
2020COLINGDoes Gender Matter? Towards Fairness in Dialogue Systems.Haochen Liu, Jamell Dacon, Wenqi Fan, Hui Liu, Zitao Liu, Jiliang Tang
2020COLINGPersonalized Multimodal Feedback Generation in Education.Haochen Liu, Zitao Liu, Zhongqin Wu, Jiliang Tang
2020EDMOnline Academic Course Performance Prediction using Relational Graph Convolutional Neural Network.Hamid Karimi, Tyler Derr, Jiangtao Huang, Jiliang Tang
2020EMNLPMitigating Gender Bias for Neural Dialogue Generation with Adversarial Learning.Haochen Liu, Wentao Wang, Yiqi Wang, Hui Liu, Zitao Liu, Jiliang Tang
2020ICDMGraph Pooling with Representativeness.Juan-Hui Li, Yao Ma, Yiqi Wang, Charu C. Aggarwal, Chang-Dong Wang, Jiliang Tang
2020ICDMLearning from Incomplete Labeled Data via Adversarial Data Generation.Wentao Wang, Tyler Derr, Yao Ma, Suhang Wang, Hui Liu, Zitao Liu, Jiliang Tang
2020KDDGraph Structure Learning for Robust Graph Neural Networks.Wei Jin, Yao Ma, Xiaorui Liu, Xianfeng Tang, Suhang Wang, Jiliang Tang
2020KDDRecent Advances in Multimodal Educational Data Mining in K-12 Education.Zitao Liu, Songfan Yang, Jiliang Tang, Neil T. Heffernan, Rose Luckin
2020KDDAdversarial Attacks and Defenses: Frontiers, Advances and Practice.Han Xu, Yaxin Li, Wei Jin, Jiliang Tang
2020KDDXGNN: Towards Model-Level Explanations of Graph Neural Networks.Hao Yuan, Jiliang Tang, Xia Hu, Shuiwang Ji
2020KDDJointly Learning to Recommend and Advertise.Xiangyu Zhao, Xudong Zheng, Xiwang Yang, Xiaobing Liu, Jiliang Tang
2020WWWROSE: Role-based Signed Network Embedding.Amin Javari, Tyler Derr, Pouya Esmailian, Jiliang Tang, Kevin Chen-Chuan Chang
2020WWWTraffic Flow Prediction via Spatial Temporal Graph Neural Network.Xiaoyang Wang, Yao Ma, Yiqi Wang, Wei Jin, Xin Wang, Jiliang Tang, Caiyan Jia, Jian Yu
2020SIGIRStreaming Graph Neural Networks.Yao Ma, Ziyi Guo, Zhaochun Ren, Jiliang Tang, Dawei Yin
2020SIGIRAutomated Embedding Size Search in Deep Recommender Systems.Haochen Liu, Xiangyu Zhao, Chong Wang, Xiaobing Liu, Jiliang Tang
2020WSDMEpidemic Graph Convolutional Network.Tyler Derr, Yao Ma, Wenqi Fan, Xiaorui Liu, Charu C. Aggarwal, Jiliang Tang
2020WSDMDecision Boundary of Deep Neural Networks: Challenges and Opportunities.Hamid Karimi, Jiliang Tang
2020SDMDeep Adversarial Canonical Correlation Analysis.Wenqi Fan, Yao Ma, Han Xu, Xiaorui Liu, Jianping Wang, Qing Li, Jiliang Tang
2020SDMGlobal-and-Local Aware Data Generation for the Class Imbalance Problem.Wentao Wang, Suhang Wang, Wenqi Fan, Zitao Liu, Jiliang Tang
2019AIEDAutomatic Short Answer Grading via Multiway Attention Networks.Tianqiao Liu, Wenbiao Ding, Zhiwei Wang, Jiliang Tang, Gale Yan Huang, Zitao Liu
2019AIEDDeep Knowledge Tracing with Side Information.Zhiwei Wang, Xiaoqin Feng, Jiliang Tang, Gale Yan Huang, Zitao Liu
2019CIKMBalance in Signed Bipartite Networks.Tyler Derr, Cassidy Johnson, Yi Chang, Jiliang Tang
2019ICDELearning Effective Embeddings From Crowdsourced Labels: An Educational Case Study.Guowei Xu, Wenbiao Ding, Jiliang Tang, Songfan Yang, Gale Yan Huang, Zitao Liu
2019IJCAIDeep Adversarial Social Recommendation.Wenqi Fan, Tyler Derr, Yao Ma, Jianping Wang, Jiliang Tang, Qing Li
2019KDDGraph Convolutional Networks with EigenPooling.Yao Ma, Suhang Wang, Charu C. Aggarwal, Jiliang Tang
2019NAACLLearning Hierarchical Discourse-level Structure for Fake News Detection.Hamid Karimi, Jiliang Tang
2019RecSysDeep social collaborative filtering.Wenqi Fan, Yao Ma, Dawei Yin, Jianping Wang, Jiliang Tang, Qing Li
2019WWWGraph Neural Networks for Social Recommendation.Wenqi Fan, Yao Ma, Qing Li, Yuan He, Yihong Eric Zhao, Jiliang Tang, Dawei Yin
2019WWWRecommender Systems with Heterogeneous Side Information.Tianqiao Liu, Zhiwei Wang, Jiliang Tang, Songfan Yang, Gale Yan Huang, Zitao Liu
2019SDMMulti-dimensional Graph Convolutional Networks.Yao Ma, Suhang Wang, Charu C. Aggarwal, Dawei Yin, Jiliang Tang
2019SECONLearning-based Blockage Prediction for Robust Links in Dynamic Millimeter Wave Networks.Masoud Zarifneshat, Li Xiao, Jiliang Tang
2018CIKMSigned Network Modeling Based on Structural Balance Theory.Tyler Derr, Charu C. Aggarwal, Jiliang Tang
2018COLINGMulti-Source Multi-Class Fake News Detection.Hamid Karimi, Proteek Roy, Sari Saba-Sadiya, Jiliang Tang
2018ICDMSigned Graph Convolutional Networks.Tyler Derr, Yao Ma, Jiliang Tang
2018ICDMCongressional Vote Analysis Using Signed Networks.Tyler Derr, Jiliang Tang
2018KDDRecommendations with Negative Feedback via Pairwise Deep Reinforcement Learning.Xiangyu Zhao, Liang Zhang, Zhuoye Ding, Long Xia, Jiliang Tang, Dawei Yin
2018RecSysDeep reinforcement learning for page-wise recommendations.Xiangyu Zhao, Long Xia, Liang Zhang, Zhuoye Ding, Dawei Yin, Jiliang Tang
2018WWWHierarchical Variational Memory Network for Dialogue Generation.Hongshen Chen, Zhaochun Ren, Jiliang Tang, Yihong Eric Zhao, Dawei Yin
2018WWWUnderstanding and Predicting Delay in Reciprocal Relations.Jundong Li, Jiliang Tang, Yilin Wang, Yali Wan, Yi Chang, Huan Liu
2018WACVWeakly Supervised Facial Attribute Manipulation via Deep Adversarial Network.Yilin Wang, Suhang Wang, Guojun Qi, Jiliang Tang, Baoxin Li
2018WSDMMulti-Dimensional Network Embedding with Hierarchical Structure.Yao Ma, Zhaochun Ren, Ziheng Jiang, Jiliang Tang, Dawei Yin
2018WSDMCrossFire: Cross Media Joint Friend and Item Recommendations.Kai Shu, Suhang Wang, Jiliang Tang, Yilin Wang, Huan Liu
2018WSDMA Path-constrained Framework for Discriminating Substitutable and Complementary Products in E-commerce.Zihan Wang, Ziheng Jiang, Zhaochun Ren, Jiliang Tang, Dawei Yin
2018WSDMMicro Behaviors: A New Perspective in E-commerce Recommender Systems.Meizi Zhou, Zhuoye Ding, Jiliang Tang, Dawei Yin
2017AAAIUnsupervised Sentiment Analysis with Signed Social Networks.Kewei Cheng, Jundong Li, Jiliang Tang, Huan Liu
2017AAAICLARE: A Joint Approach to Label Classification and Tag Recommendation.Yilin Wang, Suhang Wang, Jiliang Tang, Guo-Jun Qi, Huan Liu, Baoxin Li
2017CIKMAttributed Network Embedding for Learning in a Dynamic Environment.Jundong Li, Harsh Dani, Xia Hu, Jiliang Tang, Yi Chang, Huan Liu
2017CIKMAttributed Signed Network Embedding.Suhang Wang, Charu C. Aggarwal, Jiliang Tang, Huan Liu
2017CIKMUnderstanding and Predicting Weight Loss with Mobile Social Networking Data.Zhiwei Wang, Tyler Derr, Dawei Yin, Jiliang Tang
2017CIKMModeling Temporal-Spatial Correlations for Crime Prediction.Xiangyu Zhao, Jiliang Tang
2017ICDMNetwork Embedding with Centrality Information.Yao Ma, Suhang Wang, Jiliang Tang
2017ICDMPredicting Weight Loss with Enemble Methods.Zhiwei Wang, Jiliang Tang
2017ICDMExploring Transfer Learning for Crime Prediction.Xiangyu Zhao, Jiliang Tang
2017IJCAIReconstruction-based Unsupervised Feature Selection: An Embedded Approach.Jundong Li, Jiliang Tang, Huan Liu
2017KDDMixture Factorized Ornstein-Uhlenbeck Processes for Time-Series Forecasting.Guo-Jun Qi, Jiliang Tang, Jingdong Wang, Jiebo Luo
2017WWWStreaming Recommender Systems.Shiyu Chang, Yang Zhang, Jiliang Tang, Dawei Yin, Yi Chang, Mark A. Hasegawa-Johnson, Thomas S. Huang
2017WWWUnderstanding and Discovering Deliberate Self-harm Content in Social Media.Yilin Wang, Jiliang Tang, Jundong Li, Baoxin Li, Yali Wan, Clayton Mellina, Neil O'Hare, Yi Chang
2017WWWWhat Your Images Reveal: Exploiting Visual Contents for Point-of-Interest Recommendation.Suhang Wang, Yilin Wang, Jiliang Tang, Kai Shu, Suhas Ranganath, Huan Liu
2017WSDMDelving Deep into Personal Photo and Video Search.Lu Jiang, Yannis Kalantidis, Liangliang Cao, Sachin Farfade, Jiliang Tang, Alexander G. Hauptmann
2017SDMEmbedded Supervised Feature Selection for Multi-class Data.Lin Chen, Jiliang Tang, Baoxin Li
2017SDMPrice Recommendation on Vacation Rental Websites.Yang Li, Suhang Wang, Tao Yang, Quan Pan, Jiliang Tang
2017SDMSigned Network Embedding in Social Media.Suhang Wang, Jiliang Tang, Charu C. Aggarwal, Yi Chang, Huan Liu
2017SDMExploiting Hierarchical Structures for Unsupervised Feature Selection.Suhang Wang, Yilin Wang, Jiliang Tang, Charu C. Aggarwal, Suhas Ranganath, Huan Liu
2016AAAIPredicting Online Protest Participation of Social Media Users.Suhas Ranganath, Fred Morstatter, Xia Hu, Jiliang Tang, Suhang Wang, Huan Liu
2016AAAIRecommendation with Social Dimensions.Jiliang Tang, Suhang Wang, Xia Hu, Dawei Yin, Yingzhou Bi, Yi Chang, Huan Liu
2016CIKMLearning to Rewrite Queries.Yunlong He, Jiliang Tang, Hua Ouyang, Changsung Kang, Dawei Yin, Yi Chang
2016CIKMLinked Document Embedding for Classification.Suhang Wang, Jiliang Tang, Charu C. Aggarwal, Huan Liu
2016CIKMPaired Restricted Boltzmann Machine for Linked Data.Suhang Wang, Jiliang Tang, Fred Morstatter, Huan Liu
2016CVPRPPP: Joint Pointwise and Pairwise Image Label Prediction.Yilin Wang, Suhang Wang, Jiliang Tang, Huan Liu, Baoxin Li
2016IJCAITimeline Summarization from Social Media with Life Cycle Models.Yi Chang, Jiliang Tang, Dawei Yin, Makoto Yamada, Yan Liu
2016ICWSMSigned Link Analysis in Social Media Networks.Ghazaleh Beigi, Jiliang Tang, Huan Liu
2016ICWSMExploring Personal Attributes from Unprotected Interactions.Pritam Gundecha, Jiliang Tang, Xia Hu, Huan Liu
2016ICWSMIdentifying Rhetorical Questions in Social Media.Suhas Ranganath, Xia Hu, Jiliang Tang, Suhang Wang, Huan Liu
2016KDDPositive-Unlabeled Learning in Streaming Networks.Shiyu Chang, Yang Zhang, Jiliang Tang, Dawei Yin, Yi Chang, Mark A. Hasegawa-Johnson, Thomas S. Huang
2016KDDRanking Relevance in Yahoo Search.Dawei Yin, Yuening Hu, Jiliang Tang, Tim Daly Jr., Mianwei Zhou, Hua Ouyang, Jianhui Chen, Changsung Kang, Hongbo Deng, Chikashi Nobata, Jean-Marc Langlois, Yi Chang
2016WWWRecommendations in Signed Social Networks.Jiliang Tang, Charu C. Aggarwal, Huan Liu
2016WSDMUnderstanding and Identifying Advocates for Political Campaigns on Social Media.Suhas Ranganath, Xia Hu, Jiliang Tang, Huan Liu
2016SDMExploiting Emotional Information for Trust/Distrust Prediction.Ghazaleh Beigi, Jiliang Tang, Suhang Wang, Huan Liu
2016SDMNode Classification in Signed Social Networks.Jiliang Tang, Charu C. Aggarwal, Huan Liu
2015AAAIContent-Aware Point of Interest Recommendation on Location-Based Social Networks.Huiji Gao, Jiliang Tang, Xia Hu, Huan Liu
2015AAAILeveraging Social Foci for Information Seeking in Social Media.Suhas Ranganath, Jiliang Tang, Xia Hu, Hari Sundaram, Huan Liu
2015AAAIEmbedded Unsupervised Feature Selection.Suhang Wang, Jiliang Tang, Huan Liu
2015AAAIModeling Status Theory in Trust Prediction.Ying Wang, Xin Wang, Jiliang Tang, Wanli Zuo, Guoyong Cai
2015CIKMUnsupervised Streaming Feature Selection in Social Media.Jundong Li, Xia Hu, Jiliang Tang, Huan Liu
2015CIKMToward Dual Roles of Users in Recommender Systems.Suhang Wang, Jiliang Tang, Huan Liu
2015ICDMFinding Time-Critical Responses for Information Seeking in Social Media.Suhas Ranganath, Suhang Wang, Xia Hu, Jiliang Tang, Huan Liu
2015IJCAIExploring Implicit Hierarchical Structures for Recommender Systems.Suhang Wang, Jiliang Tang, Yilin Wang, Huan Liu
2015IJCAIUnsupervised Sentiment Analysis for Social Media Images.Yilin Wang, Suhang Wang, Jiliang Tang, Huan Liu, Baoxin Li
2015KDDHeterogeneous Network Embedding via Deep Architectures.Shiyu Chang, Wei Han, Jiliang Tang, Guo-Jun Qi, Charu C. Aggarwal, Thomas S. Huang
2015WSDMNegative Link Prediction in Social Media.Jiliang Tang, Shiyu Chang, Charu C. Aggarwal, Huan Liu
2015SDMPropagation-based Sentiment Analysis for Microblogging Data.Jiliang Tang, Chikashi Nobata, Anlei Dong, Yi Chang, Huan Liu
2014AAAIOnline Social Spammer Detection.Xia Hu, Jiliang Tang, Huan Liu
2014CIKMPredictability of Distrust with Interaction Data.Jiliang Tang, Xia Hu, Yi Chang, Huan Liu
2014ICDMSocial Spammer Detection with Sentiment Information.Xia Hu, Jiliang Tang, Huiji Gao, Huan Liu
2014KDDRecommendation in social media: recent advances and new frontiers.Jiliang Tang, Jie Tang, Huan Liu
2014RecSysPersonalized location recommendation on location-based social networks.Huiji Gao, Jiliang Tang, Huan Liu
2014WWWTrust in social computing.Jiliang Tang, Huan Liu
2014SIGIRLeveraging knowledge across media for spammer detection in microblogging.Xia Hu, Jiliang Tang, Huan Liu
2014SDMDiscriminant Analysis for Unsupervised Feature Selection.Jiliang Tang, Xia Hu, Huiji Gao, Huan Liu
2013CIKMModeling temporal effects of human mobile behavior on location-based social networks.Huiji Gao, Jiliang Tang, Xia Hu, Huan Liu
2013IJCAISocial Spammer Detection in Microblogging.Xia Hu, Jiliang Tang, Yanchao Zhang, Huan Liu
2013IJCAIExploiting Local and Global Social Context for Recommendation.Jiliang Tang, Xia Hu, Huiji Gao, Huan Liu
2013RecSysExploring temporal effects for location recommendation on location-based social networks.Huiji Gao, Jiliang Tang, Xia Hu, Huan Liu
2013RecSysContext-aware review helpfulness rating prediction.Jiliang Tang, Huiji Gao, Xia Hu, Huan Liu
2013WWWUnsupervised sentiment analysis with emotional signals.Xia Hu, Jiliang Tang, Huiji Gao, Huan Liu
2013WSDMExploiting social relations for sentiment analysis in microblogging.Xia Hu, Lei Tang, Jiliang Tang, Huan Liu
2013WSDMExploiting homophily effect for trust prediction.Jiliang Tang, Huiji Gao, Xia Hu, Huan Liu
2013SDMUnsupervised Feature Selection for Multi-View Data in Social Media.Jiliang Tang, Xia Hu, Huiji Gao, Huan Liu
2013SDMActNeT: Active Learning for Networked Texts in Microblogging.Xia Hu, Jiliang Tang, Huiji Gao, Huan Liu
2013SDMCoSelect: Feature Selection with Instance Selection for Social Media Data.Jiliang Tang, Huan Liu
2012CIKMgSCorr: modeling geo-social correlations for new check-ins on location-based social networks.Huiji Gao, Jiliang Tang, Huan Liu
2012ICWSMExploring Social-Historical Ties on Location-Based Social Networks.Huiji Gao, Jiliang Tang, Huan Liu
2012KDDUnsupervised feature selection for linked social media data.Jiliang Tang, Huan Liu
2012KDDeTrust: understanding trust evolution in an online world.Jiliang Tang, Huiji Gao, Huan Liu, Atish Das Sarma
2012WSDMmTrust: discerning multi-faceted trust in a connected world.Jiliang Tang, Huiji Gao, Huan Liu
2012SDMFeature Selection with Linked Data in Social Media.Jiliang Tang, Huan Liu
2011ICDMDocument Clustering via Matrix Representation.Xufei Wang, Jiliang Tang, Huan Liu