Jie Tang

ORCID

Publication Activity (10 Years)

Years Active: 2003-2024
Publications (10 Years): 344

Top Venues

CoRR

KDD

IEEE Trans. Knowl. Data Eng.

AAAI

Publications

Yuqing Cheng, Bo Chen, Fanjin Zhang, Jie Tang
BOND: Bootstrapping From-Scratch Name Disambiguation with Multi-task Promoting. WWW (2024)
Huanjing Zhao, Beining Yang, Yukuo Cen, Junyu Ren, Chenhui Zhang, Yuxiao Dong, Evgeny Kharlamov, Shu Zhao, Jie Tang
Pre-Training and Prompting for Few-Shot Node Classification on Text-Attributed Graphs. CoRR (2024)
Hanyu Lai, Xiao Liu, Iat Long Iong, Shuntian Yao, Yuxuan Chen, Pengbo Shen, Hao Yu, Hanchen Zhang, Xiaohan Zhang, Yuxiao Dong, Jie Tang
AutoWebGLM: A Large Language Model-based Web Navigating Agent. KDD (2024)
Xu Feng, Wenjian Yu, Yuyang Xie, Jie Tang
Algorithm xxx: Faster Randomized SVD with Dynamic Shifts. CoRR (2024)
Fanjin Zhang, Shijie Shi, Yifan Zhu, Bo Chen, Yukuo Cen, Jifan Yu, Yelin Chen, Lulu Wang, Qingfei Zhao, Yuqing Cheng, Tianyi Han, Yuwei An, Dan Zhang, Weng Lam Tam, Kun Cao, Yunhe Pang, Xinyu Guan, Huihui Yuan, Jian Song, Xiaoyan Li, Yuxiao Dong, Jie Tang
OAG-Bench: A Human-Curated Benchmark for Academic Graph Mining. KDD (2024)
Shudan Zhang, Hanlin Zhao, Xiao Liu, Qinkai Zheng, Zehan Qi, Xiaotao Gu, Xiaohan Zhang, Yuxiao Dong, Jie Tang
NaturalCodeBench: Examining Coding Performance Mismatch on HumanEval and Natural User Prompts. CoRR (2024)
Jiale Cheng, Xiao Liu, Kehan Zheng, Pei Ke, Hongning Wang, Yuxiao Dong, Jie Tang, Minlie Huang
Black-Box Prompt Optimization: Aligning Large Language Models without Model Training. ACL (1) (2024)
Zhen Yang, Ming Ding, Tinglin Huang, Yukuo Cen, Junshuai Song, Bin Xu, Yuxiao Dong, Jie Tang
Does Negative Sampling Matter? A Review with Insights into its Theory and Applications. CoRR (2024)
Michael Bendersky, Cheng Li, Qiaozhu Mei, Vanessa Murdock, Jie Tang, Hongning Wang, Hamed Zamani, Mingyang Zhang, Xingjian Zhang
The Second Workshop on Large Language Models for Individuals, Groups, and Society. SIGIR (2024)
Jibing Gong, Yi Zhao, Jinye Zhao, Jin Zhang, Guixiang Ma, Shaojie Zheng, Shuying Du, Jie Tang
Personalized recommendation via inductive spatiotemporal graph neural network. Pattern Recognit. 145 (2024)
Lilong Xue, Dan Zhang, Yuxiao Dong, Jie Tang
AutoRE: Document-Level Relation Extraction with Large Language Models. CoRR (2024)
Yushi Bai, Xin Lv, Jiajie Zhang, Hongchang Lyu, Jiankai Tang, Zhidian Huang, Zhengxiao Du, Xiao Liu, Aohan Zeng, Lei Hou, Yuxiao Dong, Jie Tang, Juanzi Li
LongBench: A Bilingual, Multitask Benchmark for Long Context Understanding. ACL (1) (2024)
Yu Gu, Yiheng Shu, Hao Yu, Xiao Liu, Yuxiao Dong, Jie Tang, Jayanth Srinivasa, Hugo Latapie, Yu Su
Middleware for LLMs: Tools Are Instrumental for Language Agents in Complex Environments. CoRR (2024)
Huanjing Zhao, Beining Yang, Yukuo Cen, Junyu Ren, Chenhui Zhang, Yuxiao Dong, Evgeny Kharlamov, Shu Zhao, Jie Tang
Pre-Training and Prompting for Few-Shot Node Classification on Text-Attributed Graphs. KDD (2024)
Zhen Yang, Ming Ding, Tinglin Huang, Yukuo Cen, Junshuai Song, Bin Xu, Yuxiao Dong, Jie Tang
Does Negative Sampling Matter? a Review With Insights Into its Theory and Applications. IEEE Trans. Pattern Anal. Mach. Intell. 46 (8) (2024)
Dan Zhang, Sining Zhoubian, Yisong Yue, Yuxiao Dong, Jie Tang
ReST-MCTS*: LLM Self-Training via Process Reward Guided Tree Search. CoRR (2024)
Xiaokang Zhang, Zijun Yao, Jing Zhang, Kaifeng Yun, Jifan Yu, Juanzi Li, Jie Tang
Transferable and Efficient Non-Factual Content Detection via Probe Training with Offline Consistency Checking. ACL (1) (2024)
Zhenyu Hou, Yilin Niu, Zhengxiao Du, Xiaohan Zhang, Xiao Liu, Aohan Zeng, Qinkai Zheng, Minlie Huang, Hongning Wang, Jie Tang, Yuxiao Dong
ChatGLM-RLHF: Practices of Aligning Large Language Models with Human Feedback. CoRR (2024)
Zeyao Ma, Bohan Zhang, Jing Zhang, Jifan Yu, Xiaokang Zhang, Xiaohan Zhang, Sijia Luo, Xi Wang, Jie Tang
SpreadsheetBench: Towards Challenging Real World Spreadsheet Manipulation. CoRR (2024)
Hanyu Lai, Xiao Liu, Iat Long Iong, Shuntian Yao, Yuxuan Chen, Pengbo Shen, Hao Yu, Hanchen Zhang, Xiaohan Zhang, Yuxiao Dong, Jie Tang
AutoWebGLM: Bootstrap And Reinforce A Large Language Model-based Web Navigating Agent. CoRR (2024)
Zhuoyi Yang, Heyang Jiang, Wenyi Hong, Jiayan Teng, Wendi Zheng, Yuxiao Dong, Ming Ding, Jie Tang
Inf-DiT: Upsampling Any-Resolution Image with Memory-Efficient Diffusion Transformer. CoRR (2024)
Xiaokang Zhang, Zijun Yao, Jing Zhang, Kaifeng Yun, Jifan Yu, Juanzi Li, Jie Tang
Transferable and Efficient Non-Factual Content Detection via Probe Training with Offline Consistency Checking. CoRR (2024)
Zhenyu Hou, Haozhan Li, Yukuo Cen, Jie Tang, Yuxiao Dong
GraphAlign: Pretraining One Graph Neural Network on Multiple Graphs via Feature Alignment. CoRR (2024)
Yifan Xu, Xiao Liu, Xinghan Liu, Zhenyu Hou, Yueyan Li, Xiaohan Zhang, Zihan Wang, Aohan Zeng, Zhengxiao Du, Wenyi Zhao, Jie Tang, Yuxiao Dong
ChatGLM-Math: Improving Math Problem-Solving in Large Language Models with a Self-Critique Pipeline. CoRR (2024)
Kejuan Yang, Xiao Liu, Kaiwen Men, Aohan Zeng, Yuxiao Dong, Jie Tang
Revisiting Parallel Context Windows: A Frustratingly Simple Alternative and Chain-of-Thought Deterioration. ACL (Findings) (2024)
Jifan Yu, Xiaozhi Wang, Shangqing Tu, Shulin Cao, Daniel Zhang-Li, Xin Lv, Hao Peng, Zijun Yao, Xiaohan Zhang, Hanming Li, Chunyang Li, Zheyuan Zhang, Yushi Bai, Yantao Liu, Amy Xin, Kaifeng Yun, Linlu Gong, Nianyi Lin, Jianhui Chen, Zhili Wu, Yunjia Qi, Weikai Li, Yong Guan, Kaisheng Zeng, Ji Qi, Hailong Jin, Jinxin Liu, Yu Gu, Yuan Yao, Ning Ding, Lei Hou, Zhiyuan Liu, Bin Xu, Jie Tang, Juanzi Li
KoLA: Carefully Benchmarking World Knowledge of Large Language Models. ICLR (2024)
Dan Zhang, Yangliao Geng, Wenwen Gong, Zhongang Qi, Zhiyu Chen, Xing Tang, Ying Shan, Yuxiao Dong, Jie Tang
RecDCL: Dual Contrastive Learning for Recommendation. WWW (2024)
Zhen Yang, Zhou Shao, Yuxiao Dong, Jie Tang
TriSampler: A Better Negative Sampling Principle for Dense Retrieval. AAAI (2024)
Xiao Liu, Xixuan Song, Yuxiao Dong, Jie Tang
Extensive Self-Contrast Enables Feedback-Free Language Model Alignment. CoRR (2024)
Jie Tang, Yuxiao Dong, Michalis Vazirgiannis
Generative AI Day. KDD (2024)
Xiaokang Zhang, Jing Zhang, Zeyao Ma, Yang Li, Bohan Zhang, Guanlin Li, Zijun Yao, Kangli Xu, Jinchang Zhou, Daniel Zhang-Li, Jifan Yu, Shu Zhao, Juanzi Li, Jie Tang
TableLLM: Enabling Tabular Data Manipulation by LLMs in Real Office Usage Scenarios. CoRR (2024)
Shudan Zhang, Hanlin Zhao, Xiao Liu, Qinkai Zheng, Zehan Qi, Xiaotao Gu, Yuxiao Dong, Jie Tang
NaturalCodeBench: Examining Coding Performance Mismatch on HumanEval and Natural User Queries. ACL (Findings) (2024)
Aohan Zeng, Mingdao Liu, Rui Lu, Bowen Wang, Xiao Liu, Yuxiao Dong, Jie Tang
AgentTuning: Enabling Generalized Agent Abilities for LLMs. ACL (Findings) (2024)
Pei Ke, Bosi Wen, Andrew Feng, Xiao Liu, Xuanyu Lei, Jiale Cheng, Shengyuan Wang, Aohan Zeng, Yuxiao Dong, Hongning Wang, Jie Tang, Minlie Huang
CritiqueLLM: Towards an Informative Critique Generation Model for Evaluation of Large Language Model Generation. ACL (1) (2024)
Xiao Liu, Xuanyu Lei, Shengyuan Wang, Yue Huang, Andrew Feng, Bosi Wen, Jiale Cheng, Pei Ke, Yifan Xu, Weng Lam Tam, Xiaohan Zhang, Lichao Sun, Xiaotao Gu, Hongning Wang, Jing Zhang, Minlie Huang, Yuxiao Dong, Jie Tang
AlignBench: Benchmarking Chinese Alignment of Large Language Models. ACL (1) (2024)
Yushi Bai, Xin Lv, Jiajie Zhang, Yuze He, Ji Qi, Lei Hou, Jie Tang, Yuxiao Dong, Juanzi Li
LongAlign: A Recipe for Long Context Alignment of Large Language Models. CoRR (2024)
Yuqing Cheng, Bo Chen, Fanjin Zhang, Jie Tang
BOND: Bootstrapping From-Scratch Name Disambiguation with Multi-task Promoting. CoRR (2024)
Yuan Yuan, Tracy Xiao Liu, Chenhao Tan, Qian Chen, Alex 'Sandy' Pentland, Jie Tang
Gift Contagion in Online Groups: Evidence from Virtual Red Packets. Manag. Sci. 70 (7) (2024)
Yuanchun Wang, Jifan Yu, Zijun Yao, Jing Zhang, Yuyang Xie, Shangqing Tu, Yiyang Fu, Youhe Feng, Jinkai Zhang, Jingyao Zhang, Bowen Huang, Yuanyao Li, Huihui Yuan, Lei Hou, Juanzi Li, Jie Tang
A Solution-based LLM API-using Methodology for Academic Information Seeking. CoRR (2024)
Zhengxiao Du, Aohan Zeng, Yuxiao Dong, Jie Tang
Understanding Emergent Abilities of Language Models from the Loss Perspective. CoRR (2024)
Fanjin Zhang, Shijie Shi, Yifan Zhu, Bo Chen, Yukuo Cen, Jifan Yu, Yelin Chen, Lulu Wang, Qingfei Zhao, Yuqing Cheng, Tianyi Han, Yuwei An, Dan Zhang, Weng Lam Tam, Kun Cao, Yunhe Pang, Xinyu Guan, Huihui Yuan, Jian Song, Xiaoyan Li, Yuxiao Dong, Jie Tang
OAG-Bench: A Human-Curated Benchmark for Academic Graph Mining. CoRR (2024)
Wei Xu, Jie Tang, Ka Fai Cedric Yiu, Jian-Wen Peng
An Efficient Global Optimal Method for Cardinality Constrained Portfolio Optimization. INFORMS J. Comput. 36 (2) (2024)
Aohan Zeng, Bin Xu, Bowen Wang, Chenhui Zhang, Da Yin, Diego Rojas, Guanyu Feng, Hanlin Zhao, Hanyu Lai, Hao Yu, Hongning Wang, Jiadai Sun, Jiajie Zhang, Jiale Cheng, Jiayi Gui, Jie Tang, Jing Zhang, Juanzi Li, Lei Zhao, Lindong Wu, Lucen Zhong, Mingdao Liu, Minlie Huang, Peng Zhang, Qinkai Zheng, Rui Lu, Shuaiqi Duan, Shudan Zhang, Shulin Cao, Shuxun Yang, Weng Lam Tam, Wenyi Zhao, Xiao Liu, Xiao Xia, Xiaohan Zhang, Xiaotao Gu, Xin Lv, Xinghan Liu, Xinyi Liu, Xinyue Yang, Xixuan Song, Xunkai Zhang, Yifan An, Yifan Xu, Yilin Niu, Yuantao Yang, Yueyan Li, Yushi Bai, Yuxiao Dong, Zehan Qi, Zhaoyu Wang, Zhen Yang, Zhengxiao Du, Zhenyu Hou, Zihan Wang
ChatGLM: A Family of Large Language Models from GLM-130B to GLM-4 All Tools. CoRR (2024)
Bo Chen, Zhilei Bei, Xingyi Cheng, Pan Li, Jie Tang, Le Song
MSAGPT: Neural Prompting Protein Structure Prediction via MSA Generative Pre-Training. CoRR (2024)
Himabindu Lakkaraju, Qiaozhu Mei, Chenhao Tan, Jie Tang, Yutong Xie
The First Workshop on AI Behavioral Science. KDD (2024)
Jiale Cheng, Yida Lu, Xiaotao Gu, Pei Ke, Xiao Liu, Yuxiao Dong, Hongning Wang, Jie Tang, Minlie Huang
AutoDetect: Towards a Unified Framework for Automated Weakness Detection in Large Language Models. CoRR (2024)
Xiao Liu, Hao Yu, Hanchen Zhang, Yifan Xu, Xuanyu Lei, Hanyu Lai, Yu Gu, Hangliang Ding, Kaiwen Men, Kejuan Yang, Shudan Zhang, Xiang Deng, Aohan Zeng, Zhengxiao Du, Chenhui Zhang, Sheng Shen, Tianjun Zhang, Yu Su, Huan Sun, Minlie Huang, Yuxiao Dong, Jie Tang
AgentBench: Evaluating LLMs as Agents. ICLR (2024)
Ming Zhou, Dan Zhang, Yuandong Wang, Yangli-ao Geng, Yuxiao Dong, Jie Tang
LGB: Language Model and Graph Neural Network-Driven Social Bot Detection. CoRR (2024)
Dan Zhang, Wenzheng Feng, Yuandong Wang, Zhongang Qi, Ying Shan, Jie Tang
DropConn: Dropout Connection Based Random GNNs for Molecular Property Prediction. IEEE Trans. Knowl. Data Eng. 36 (2) (2024)
Wendi Zheng, Jiayan Teng, Zhuoyi Yang, Weihan Wang, Jidong Chen, Xiaotao Gu, Yuxiao Dong, Ming Ding, Jie Tang
CogView3: Finer and Faster Text-to-Image Generation via Relay Diffusion. CoRR (2024)
Bosi Wen, Pei Ke, Xiaotao Gu, Lindong Wu, Hao Huang, Jinfeng Zhou, Wenchuang Li, Binxin Hu, Wendy Gao, Jiaxin Xu, Yiming Liu, Jie Tang, Hongning Wang, Minlie Huang
Benchmarking Complex Instruction-Following with Multiple Constraints Composition. CoRR (2024)
Bo Zhang, Jie Tang
Challenges Toward AGI and Its Impact to the Web. WWW (2024)
Jiayan Teng, Wendi Zheng, Ming Ding, Wenyi Hong, Jianqiao Wangni, Zhuoyi Yang, Jie Tang
Relay Diffusion: Unifying diffusion process across resolutions for image synthesis. ICLR (2024)
Michael Bendersky, Cheng Li, Qiaozhu Mei, Vanessa Murdock, Jie Tang, Hongning Wang, Hamed Zamani, Mingyang Zhang
WSDM 2024 Workshop on Large Language Models for Individuals, Groups, and Society. WSDM (2024)
Zhen Yang, Ming Ding, Qingsong Lv, Zhihuan Jiang, Zehai He, Yuyi Guo, Jinfeng Bai, Jie Tang
GPT Can Solve Mathematical Problems Without a Calculator. CoRR (2023)
Zhengxiao Du, Chang Zhou, Jiangchao Yao, Teng Tu, Letian Cheng, Hongxia Yang, Jingren Zhou, Jie Tang
CogKR: Cognitive Graph for Multi-Hop Knowledge Reasoning. IEEE Trans. Knowl. Data Eng. 35 (2) (2023)
Aohan Zeng, Xiao Liu, Zhengxiao Du, Zihan Wang, Hanyu Lai, Ming Ding, Zhuoyi Yang, Yifan Xu, Wendi Zheng, Xiao Xia, Weng Lam Tam, Zixuan Ma, Yufei Xue, Jidong Zhai, Wenguang Chen, Zhiyuan Liu, Peng Zhang, Yuxiao Dong, Jie Tang
GLM-130B: An Open Bilingual Pre-trained Model. ICLR (2023)
Dan Zhang, Yifan Zhu, Yuxiao Dong, Yuandong Wang, Wenzheng Feng, Evgeny Kharlamov, Jie Tang
ApeGNN: Node-Wise Adaptive Aggregation in GNNs for Recommendation. WWW (2023)
Jiazheng Xu, Xiao Liu, Yuchen Wu, Yuxuan Tong, Qinkai Li, Ming Ding, Jie Tang, Yuxiao Dong
ImageReward: Learning and Evaluating Human Preferences for Text-to-Image Generation. CoRR (2023)
Yifan Zhu, Fangpeng Cong, Dan Zhang, Wenwen Gong, Qika Lin, Wenzheng Feng, Yuxiao Dong, Jie Tang
WinGNN: Dynamic Graph Neural Networks with Random Gradient Aggregation Window. KDD (2023)
Wenyi Hong, Ming Ding, Wendi Zheng, Xinghan Liu, Jie Tang
CogVideo: Large-scale Pretraining for Text-to-Video Generation via Transformers. ICLR (2023)
Jifan Yu, Mengying Lu, Qingyang Zhong, Zijun Yao, Shangqing Tu, Zhengshan Liao, Xiaoya Li, Manli Li, Lei Hou, Hai-Tao Zheng, Juanzi Li, Jie Tang
MoocRadar: A Fine-grained and Multi-aspect Knowledge Repository for Improving Cognitive Student Modeling in MOOCs. SIGIR (2023)
Bo Chen, Ziwei Xie, Jiezhong Qiu, Zhaofeng Ye, Jinbo Xu, Jie Tang
Improved the heterodimer protein complex prediction with protein language models. Briefings Bioinform. 24 (4) (2023)
Xiao Liu, Li Mian, Yuxiao Dong, Fanjin Zhang, Jing Zhang, Jie Tang, Peng Zhang, Jibing Gong, Kuansan Wang
OAG$_{\mathrm {know}}$ know : Self-Supervised Learning for Linking Knowledge Graphs. IEEE Trans. Knowl. Data Eng. 35 (2) (2023)
Zhen Yang, Tinglin Huang, Ming Ding, Yuxiao Dong, Rex Ying, Yukuo Cen, Yangliao Geng, Jie Tang
BatchSampler: Sampling Mini-Batches for Contrastive Learning in Vision, Language, and Graphs. CoRR (2023)
Shicheng Tan, Weng Lam Tam, Yuanchun Wang, Wenwen Gong, Shu Zhao, Peng Zhang, Jie Tang
Are Intermediate Layers and Labels Really Necessary? A General Language Model Distillation Method. ACL (Findings) (2023)
Zhenyu Hou, Yukuo Cen, Yuxiao Dong, Jie Zhang, Jie Tang
Automated Unsupervised Graph Representation Learning. IEEE Trans. Knowl. Data Eng. 35 (3) (2023)
Huan-jing Zhao, Pinde Rui, Jie Chen, Yanping Zhang, Yi Wang, Shu Zhao, Jie Tang
HINChip: Heterogeneous Information Network Representation with Community Hierarchy Preserving. Knowl. Based Syst. 264 (2023)
Weihan Wang, Qingsong Lv, Wenmeng Yu, Wenyi Hong, Ji Qi, Yan Wang, Junhui Ji, Zhuoyi Yang, Lei Zhao, Xixuan Song, Jiazheng Xu, Bin Xu, Juanzi Li, Yuxiao Dong, Ming Ding, Jie Tang
CogVLM: Visual Expert for Pretrained Language Models. CoRR (2023)
Jifan Yu, Xiaozhi Wang, Shangqing Tu, Shulin Cao, Daniel Zhang-li, Xin Lv, Hao Peng, Zijun Yao, Xiaohan Zhang, Hanming Li, Chunyang Li, Zheyuan Zhang, Yushi Bai, Yantao Liu, Amy Xin, Nianyi Lin, Kaifeng Yun, Linlu Gong, Jianhui Chen, Zhili Wu, Yunjia Qi, Weikai Li, Yong Guan, Kaisheng Zeng, Ji Qi, Hailong Jin, Jinxin Liu, Yu Gu, Yuan Yao, Ning Ding, Lei Hou, Zhiyuan Liu, Bin Xu, Jie Tang, Juanzi Li
KoLA: Carefully Benchmarking World Knowledge of Large Language Models. CoRR (2023)
Ming Zhou, Wenzheng Feng, Yifan Zhu, Dan Zhang, Yuxiao Dong, Jie Tang
Semi-Supervised Social Bot Detection with Initial Residual Relation Attention Networks. ECML/PKDD (6) (2023)
Shicheng Tan, Weng Lam Tam, Yuanchun Wang, Wenwen Gong, Shu Zhao, Peng Zhang, Jie Tang
Are Intermediate Layers and Labels Really Necessary? A General Language Model Distillation Method. CoRR (2023)
Zhenyu Hou, Yufei He, Yukuo Cen, Xiao Liu, Yuxiao Dong, Evgeny Kharlamov, Jie Tang
GraphMAE2: A Decoding-Enhanced Masked Self-Supervised Graph Learner. WWW (2023)
Ming Zhou, Dan Zhang, Yuandong Wang, Yangli-Ao Geng, Jie Tang
Detecting Social Bot on the Fly using Contrastive Learning. CIKM (2023)
Yang Liu, Liang Chen, Xiangnan He, Jiaying Peng, Zibin Zheng, Jie Tang
Modelling High-Order Social Relations for Item Recommendation (Extended Abstract). ICDE (2023)
Ye Li, Yuanzheng Hou, Li Xiaoyan, Qiongge Li, Jie Lu, Jie Tang
Quantitative Validation of the Correlation Between Optimized Pyramidal Tract Delineation After Brain Shift Compensation and Direct Electrical Subcortical Stimulation During Brain Tumor Surgery. J. Imaging Inform. Medicine 36 (5) (2023)
Yuyang Xie, Jiezhong Qiu, Laxman Dhulipala, Wenjian Yu, Jie Tang, Richard Peng, Chi Wang
Towards Lightweight and Automated Representation Learning System for Networks. IEEE Trans. Knowl. Data Eng. 35 (9) (2023)
Kejuan Yang, Xiao Liu, Kaiwen Men, Aohan Zeng, Yuxiao Dong, Jie Tang
Revisiting Parallel Context Windows: A Frustratingly Simple Alternative and Chain-of-Thought Deterioration. CoRR (2023)
Shicheng Tan, Weng Lam Tam, Yuanchun Wang, Wenwen Gong, Shu Zhao, Peng Zhang, Jie Tang
GKD: A General Knowledge Distillation Framework for Large-scale Pre-trained Language Model. ACL (industry) (2023)
Chun How Tan, Austin Chan, Malay Haldar, Jie Tang, Xin Liu, Mustafa Abdool, Huiji Gao, Liwei He, Sanjeev Katariya
Optimizing Airbnb Search Journey with Multi-task Learning. KDD (2023)
Aohan Zeng, Mingdao Liu, Rui Lu, Bowen Wang, Xiao Liu, Yuxiao Dong, Jie Tang
AgentTuning: Enabling Generalized Agent Abilities for LLMs. CoRR (2023)
Jing Zhang, Xiaokang Zhang, Daniel Zhang-Li, Jifan Yu, Zijun Yao, Zeyao Ma, Yiqi Xu, Haohua Wang, Xiaohan Zhang, Nianyi Lin, Sunrui Lu, Juanzi Li, Jie Tang
GLM-Dialog: Noise-tolerant Pre-training for Knowledge-grounded Dialogue Generation. KDD (2023)
Zeyao Ma, Zijun Yao, Jing Zhang, Jifan Yu, Xiaohan Zhang, Juanzi Li, Jie Tang
FFAEval: Evaluating Dialogue System via Free-For-All Ranking. EMNLP (Findings) (2023)
Da Yin, Weng Lam Tam, Ming Ding, Jie Tang
MRT: Tracing the Evolution of Scientific Publications. IEEE Trans. Knowl. Data Eng. 35 (1) (2023)
Bo Chen, Jing Zhang, Fanjin Zhang, Tianyi Han, Yuqing Cheng, Xiaoyan Li, Yuxiao Dong, Jie Tang
Web-Scale Academic Name Disambiguation: The WhoIsWho Benchmark, Leaderboard, and Toolkit. KDD (2023)
Jibing Gong, Yao Wan, Ye Liu, Xuewen Li, Yi Zhao, Cheng Wang, Yuting Lin, Xiaohan Fang, Wenzheng Feng, Jingyi Zhang, Jie Tang
Reinforced MOOCs Concept Recommendation in Heterogeneous Information Networks. ACM Trans. Web 17 (3) (2023)
Ji Qi, Jifan Yu, Teng Tu, Kunyu Gao, Yifan Xu, Xinyu Guan, Xiaozhi Wang, Bin Xu, Lei Hou, Juanzi Li, Jie Tang
GOAL: A Challenging Knowledge-grounded Video Captioning Benchmark for Real-time Soccer Commentary Generation. CIKM (2023)
Zhenyu Hou, Yufei He, Yukuo Cen, Xiao Liu, Yuxiao Dong, Evgeny Kharlamov, Jie Tang
GraphMAE2: A Decoding-Enhanced Masked Self-Supervised Graph Learner. CoRR (2023)
Qinkai Zheng, Xiao Xia, Xu Zou, Yuxiao Dong, Shan Wang, Yufei Xue, Lei Shen, Zihan Wang, Andi Wang, Yang Li, Teng Su, Zhilin Yang, Jie Tang
CodeGeeX: A Pre-Trained Model for Code Generation with Multilingual Benchmarking on HumanEval-X. KDD (2023)
Zhen Yang, Tinglin Huang, Ming Ding, Yuxiao Dong, Rex Ying, Yukuo Cen, Yangliao Geng, Jie Tang
BatchSampler: Sampling Mini-Batches for Contrastive Learning in Vision, Language, and Graphs. KDD (2023)
Xiao Liu, Fanjin Zhang, Zhenyu Hou, Li Mian, Zhaoyu Wang, Jing Zhang, Jie Tang
Self-Supervised Learning: Generative or Contrastive. IEEE Trans. Knowl. Data Eng. 35 (1) (2023)
Yuyang Xie, Jiezhong Qiu, Laxman Dhulipala, Wenjian Yu, Jie Tang, Richard Peng, Chi Wang
Towards Lightweight and Automated Representation Learning System for Networks. CoRR (2023)
Ning Ding, Yujia Qin, Guang Yang, Fuchao Wei, Zonghan Yang, Yusheng Su, Shengding Hu, Yulin Chen, Chi-Min Chan, Weize Chen, Jing Yi, Weilin Zhao, Xiaozhi Wang, Zhiyuan Liu, Hai-Tao Zheng, Jianfei Chen, Yang Liu, Jie Tang, Juanzi Li, Maosong Sun
Parameter-efficient fine-tuning of large-scale pre-trained language models. Nat. Mac. Intell. 5 (3) (2023)
Jiayan Teng, Wendi Zheng, Ming Ding, Wenyi Hong, Jianqiao Wangni, Zhuoyi Yang, Jie Tang
Relay Diffusion: Unifying diffusion process across resolutions for image synthesis. CoRR (2023)
Yukuo Cen, Zhenyu Hou, Yan Wang, Qibin Chen, Yizhen Luo, Zhongming Yu, Hengrui Zhang, Xingcheng Yao, Aohan Zeng, Shiguang Guo, Yuxiao Dong, Yang Yang, Peng Zhang, Guohao Dai, Yu Wang, Chang Zhou, Hongxia Yang, Jie Tang
CogDL: A Comprehensive Library for Graph Deep Learning. WWW (2023)
Bo Chen, Jing Zhang, Xiaokang Zhang, Yuxiao Dong, Jian Song, Peng Zhang, Kaibo Xu, Evgeny Kharlamov, Jie Tang
GCCAD: Graph Contrastive Coding for Anomaly Detection. IEEE Trans. Knowl. Data Eng. 35 (8) (2023)
Dongguo Liu, Fang Zhao, Fuzhou Zhang, Wen Chen, Jixiang Wang, Gang Liu, Li Yi, Jie Tang, Haibin Wang, Jing Xu
Research and device development based on broadband and wide-range current transformer compensation technology. iSPEC (2023)
Xiao Liu, Hanyu Lai, Hao Yu, Yifan Xu, Aohan Zeng, Zhengxiao Du, Peng Zhang, Yuxiao Dong, Jie Tang
WebGLM: Towards An Efficient Web-Enhanced Question Answering System with Human Preferences. KDD (2023)
Zhen Yang, Ming Ding, Xu Zou, Jie Tang, Bin Xu, Chang Zhou, Hongxia Yang
Region or Global? A Principle for Negative Sampling in Graph-Based Recommendation. IEEE Trans. Knowl. Data Eng. 35 (6) (2023)
Fanjin Zhang, Xiao Liu, Jie Tang, Yuxiao Dong, Peiran Yao, Jie Zhang, Xiaotao Gu, Yan Wang, Evgeny Kharlamov, Bin Shao, Rui Li, Kuansan Wang
OAG: Linking Entities Across Large-Scale Heterogeneous Knowledge Graphs. IEEE Trans. Knowl. Data Eng. 35 (9) (2023)

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Publication Activity (10 Years)

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Jie Tang