DroidLink: Automated Generation of Deep Links for Android Apps. - Yun Ma 002; Xuanzhe Liu; Ruogu Du; Ziniu Hu; Yi Liu 014; Meihua Yu; Gang Huang 001 (CoRR, 2016)

Aladdin: automating release of Android deep links to in-app content. - Yun Ma 002; Xuanzhe Liu; Ziniu Hu; Dian Yang; Gang Huang 001; Yunxin Liu 001; Tao Xie 001 (ICSE (Companion Volume), 2017)

Towards Release Strategy Optimization for Apps in Google Play. - Sheng Shen 001; Xuan Lu; Ziniu Hu; Xuanzhe Liu (Internetware, 2017)

Roaming across the Castle Tunnels: an Empirical Study of Inter-App Navigation Behaviors of Android Users. - Ziniu Hu; Yun Ma 003; Qiaozhu Mei; Jian Tang 005 (CoRR, 2017)

Towards Release Strategy Optimization for Apps in Google Play. - Sheng Shen 001; Xuan Lu; Ziniu Hu (CoRR, 2017)

DroidWalker: Generating Reproducible Test Cases via Automatic Exploration of Android Apps. - Ziniu Hu; Yun Ma 003; Yangyang Huang (CoRR, 2017)

Automating Release of Deep Link APIs for Android Applications. - Yun Ma 003; Ziniu Hu; Dian Yang (CoRR, 2017)

Listening to Chaotic Whispers: A Deep Learning Framework for News-oriented Stock Trend Prediction. - Ziniu Hu; Weiqing Liu; Jiang Bian 002; Xuanzhe Liu; Tie-Yan Liu (WSDM, 2018)

Aladdin: Automating Release of Deep-Link APIs on Android. - Yun Ma 002; Ziniu Hu; Yunxin Liu 001; Tao Xie 001; Xuanzhe Liu (WWW, 2018)

Ermes: Emoji-Powered Representation Learning for Cross-Lingual Sentiment Classification. - Zhenpeng Chen; Sheng Shen 001; Ziniu Hu; Xuan Lu; Qiaozhu Mei; Xuanzhe Liu (CoRR, 2018)

A Novel Algorithm for Unbiased Learning to Rank. - Ziniu Hu; Yang Wang; Qu Peng; Hang Li (CoRR, 2018)

Few-Shot Representation Learning for Out-Of-Vocabulary Words. - Ziniu Hu; Ting Chen 007; Kai-Wei Chang; Yizhou Sun (ACL (1), 2019)

LinkRadar: Assisting the Analysis of Inter-app Page Links via Transfer Learning. - Diandian Gu; Ziniu Hu; Shangchen Du; Yun Ma 003 (CIKM, 2019)

Layer-Dependent Importance Sampling for Training Deep and Large Graph Convolutional Networks. - Difan Zou; Ziniu Hu; Yewen Wang; Song Jiang 002; Yizhou Sun; Quanquan Gu (NeurIPS, 2019)

Paladin: Automated Generation of Reproducible Test Cases for Android Apps. - Yun Ma 002; Yangyang Huang; Ziniu Hu; Xusheng Xiao; Xuanzhe Liu (HotMobile, 2019)

FaceOff: Assisting the Manifestation Design of Web Graphical User Interface. - Shuyu Zheng; Ziniu Hu; Yun Ma 003 (WSDM, 2019)

Emoji-Powered Representation Learning for Cross-Lingual Sentiment Classification. - Zhenpeng Chen; Sheng Shen 001; Ziniu Hu; Xuan Lu; Qiaozhu Mei; Xuanzhe Liu (WWW, 2019)

Unbiased LambdaMART: An Unbiased Pairwise Learning-to-Rank Algorithm. - Ziniu Hu; Yang Wang; Qu Peng; Hang Li 001 (WWW, 2019)

Pre-Training Graph Neural Networks for Generic Structural Feature Extraction. - Ziniu Hu; Changjun Fan; Ting Chen 007; Kai-Wei Chang; Yizhou Sun (CoRR, 2019)

Fast Adaptation for Cold-start Collaborative Filtering with Meta-learning. - Tianxin Wei; Ziwei Wu; Ruirui Li 002; Ziniu Hu; Fuli Feng; Xiangnan He 001; Yizhou Sun; Wei Wang 010 (ICDM, 2020)

Improving Neural Language Generation with Spectrum Control. - Lingxiao Wang 001; Jing Huang 019; Kevin Huang 002; Ziniu Hu; Guangtao Wang; Quanquan Gu (ICLR, 2020)

Emoji-Powered Representation Learning for Cross-Lingual Sentiment Classification (Extended Abstract). - Zhenpeng Chen; Sheng Shen 001; Ziniu Hu; Xuan Lu; Qiaozhu Mei; Xuanzhe Liu (IJCAI, 2020)

Heterogeneous Network Representation Learning. - Yuxiao Dong; Ziniu Hu; Kuansan Wang; Yizhou Sun; Jie Tang 001 (IJCAI, 2020)

GPT-GNN: Generative Pre-Training of Graph Neural Networks. - Ziniu Hu; Yuxiao Dong; Kuansan Wang; Kai-Wei Chang; Yizhou Sun (KDD, 2020)

Heterogeneous Graph Transformer. - Ziniu Hu; Yuxiao Dong; Kuansan Wang; Yizhou Sun (WWW, 2020)

Roaming Through the Castle Tunnels: An Empirical Analysis of Inter-app Navigation of Android Apps. - Yun Ma 002; Ziniu Hu; Diandian Gu; Li Zhou; Qiaozhu Mei; Gang Huang 001; Xuanzhe Liu (ACM Trans. Web, 2020)

Relation-Guided Pre-Training for Open-Domain Question Answering. - Ziniu Hu; Yizhou Sun; Kai-Wei Chang (EMNLP (Findings), 2021)

Broaden the Vision: Geo-Diverse Visual Commonsense Reasoning. - Da Yin; Liunian Harold Li; Ziniu Hu; Nanyun Peng 001; Kai-Wei Chang (EMNLP (1), 2021)

Fuzzy Logic based Logical Query Answering on Knowledge Graph. - Xuelu Chen; Ziniu Hu; Yizhou Sun (CoRR, 2021)

Fuzzy Logic Based Logical Query Answering on Knowledge Graphs. - Xuelu Chen; Ziniu Hu; Yizhou Sun (AAAI, 2022)

Empowering Language Models with Knowledge Graph Reasoning for Open-Domain Question Answering. - Ziniu Hu; Yichong Xu; Wenhao Yu 002; Shuohang Wang; Ziyi Yang; Chenguang Zhu 001; Kai-Wei Chang; Yizhou Sun (EMNLP, 2022)

Improving Multi-Task Generalization via Regularizing Spurious Correlation. - Ziniu Hu; Zhe Zhao 001; Xinyang Yi; Tiansheng Yao; Lichan Hong; Yizhou Sun; Ed H. Chi (NeurIPS, 2022)

Zero-shot Transfer Learning within a Heterogeneous Graph via Knowledge Transfer Networks. - Minji Yoon; John Palowitch; Dustin Zelle; Ziniu Hu; Ruslan Salakhutdinov; Bryan Perozzi (NeurIPS, 2022)

Zero-shot Domain Adaptation of Heterogeneous Graphs via Knowledge Transfer Networks. - Minji Yoon; John Palowitch; Dustin Zelle; Ziniu Hu; Ruslan Salakhutdinov; Bryan Perozzi (CoRR, 2022)

Empowering Language Models with Knowledge Graph Reasoning for Question Answering. - Ziniu Hu; Yichong Xu; Wenhao Yu 002; Shuohang Wang; Ziyi Yang; Chenguang Zhu 001; Kai-Wei Chang; Yizhou Sun (CoRR, 2022)

Reveal: Retrieval-Augmented Visual-Language Pre-Training with Multi-Source Multimodal Knowledge Memory. - Ziniu Hu; Ahmet Iscen; Chen Sun 002; Zirui Wang; Kai-Wei Chang; Yizhou Sun; Cordelia Schmid; David A. Ross; Alireza Fathi (CVPR, 2023)

Towards a Comprehensive Benchmark for High-Level Synthesis Targeted to FPGAs. - Yunsheng Bai; Atefeh Sohrabizadeh; Zongyue Qin; Ziniu Hu; Yizhou Sun; Jason Cong (NeurIPS, 2023)

AVIS: Autonomous Visual Information Seeking with Large Language Model Agent. - Ziniu Hu; Ahmet Iscen; Chen Sun 002; Kai-Wei Chang; Yizhou Sun; David Ross 001; Cordelia Schmid; Alireza Fathi (NeurIPS, 2023)

Learning to Group Auxiliary Datasets for Molecule. - Tinglin Huang; Ziniu Hu; Rex Ying (NeurIPS, 2023)

Professional Basketball Player Behavior Synthesis via Planning with Diffusion. - Xiusi Chen; Wei-Yao Wang; Ziniu Hu; Curtis Chou; Lam Hoang; Kun Jin; Mingyan Liu; P. Jeffrey Brantingham; Wei Wang 010 (CoRR, 2023)

AVIS: Autonomous Visual Information Seeking with Large Language Models. - Ziniu Hu; Ahmet Iscen; Chen Sun 002; Kai-Wei Chang; Yizhou Sun; David A. Ross; Cordelia Schmid; Alireza Fathi (CoRR, 2023)

A Survey on Graph Neural Network Acceleration: Algorithms, Systems, and Customized Hardware. - Shichang Zhang; Atefeh Sohrabizadeh; Cheng Wan 005; Zijie Huang 002; Ziniu Hu; Yewen Wang; Yingyan Lin; Jason Cong; Yizhou Sun (CoRR, 2023)

From Text to Tactic: Evaluating LLMs Playing the Game of Avalon. - Jonathan Light; Min Cai; Sheng Shen 001; Ziniu Hu (CoRR, 2023)

TANGO: Time-Reversal Latent GraphODE for Multi-Agent Dynamical Systems. - Zijie Huang 002; Wanjia Zhao; Jingdong Gao; Ziniu Hu; Xiao Luo 001; Yadi Cao; Yuanzhou Chen; Yizhou Sun; Wei Wang 010 (CoRR, 2023)

Make Knowledge Computable: Towards Differentiable Neural-Symbolic AI - Ziniu Hu (2023)

PlayBest: Professional Basketball Player Behavior Synthesis via Planning with Diffusion. - Xiusi Chen; Wei-Yao Wang; Ziniu Hu; David Reynoso; Kun Jin; Mingyan Liu; P. Jeffrey Brantingham; Wei Wang 010 (CIKM, 2024)

SceneCraft: An LLM Agent for Synthesizing 3D Scenes as Blender Code. - Ziniu Hu; Ahmet Iscen; Aashi Jain; Thomas Kipf; Yisong Yue; David A. Ross; Cordelia Schmid; Alireza Fathi (ICML, 2024)

Symbolic Music Generation with Non-Differentiable Rule Guided Diffusion. - Yujia Huang; Adishree Ghatare; Yuanzhe Liu 001; Ziniu Hu; Qinsheng Zhang; Chandramouli Shama Sastry; Siddharth Gururani; Sageev Oore; Yisong Yue (ICML, 2024)

SciBench: Evaluating College-Level Scientific Problem-Solving Abilities of Large Language Models. - Xiaoxuan Wang; Ziniu Hu; Pan Lu; Yanqiao Zhu 001; Jieyu Zhang 001; Satyen Subramaniam; Arjun R. Loomba; Shichang Zhang; Yizhou Sun; Wei Wang 010 (ICML, 2024)

Path-RAG: Knowledge-Guided Key Region Retrieval for Open-ended Pathology Visual Question Answering. - Awais Naeem; Tianhao Li; Huang-Ru Liao; Jiawei Xu 006; Aby M. Mathew; Zehao Zhu; Zhen Tan 001; Ajay Kumar Jaiswal; Raffi A. Salibian; Ziniu Hu; Tianlong Chen 001; Ying Ding 001 (ML4H@NeurIPS, 2024)

Cross-Modality Program Representation Learning for Electronic Design Automation with High-Level Synthesis. - Zongyue Qin; Yunsheng Bai; Atefeh Sohrabizadeh; Zijian Ding; Ziniu Hu; Yizhou Sun; Jason Cong (MLCAD, 2024)

Physics-Informed Regularization for Domain-Agnostic Dynamical System Modeling. - Zijie Huang 002; Wanjia Zhao; Jingdong Gao; Ziniu Hu; Xiao Luo 001; Yadi Cao; Yuanzhou Chen; Yizhou Sun; Wei Wang 010 (NeurIPS, 2024)

Enhancing Large Vision Language Models with Self-Training on Image Comprehension. - Yihe Deng; Pan Lu; Fan Yin; Ziniu Hu; Sheng Shen 001; Quanquan Gu; James Y. Zou; Kai-Wei Chang; Wei Wang 010 (NeurIPS, 2024)

Can Large Language Model Agents Simulate Human Trust Behavior? - Chengxing Xie; Canyu Chen; Feiran Jia; Ziyu Ye; Shiyang Lai; Kai Shu; Jindong Gu; Adel Bibi; Ziniu Hu; David Jurgens; James Evans; Philip Torr 001; et al. (NeurIPS, 2024)

SciInstruct: a Self-Reflective Instruction Annotated Dataset for Training Scientific Language Models. - Dan Zhang; Ziniu Hu; Sining Zhoubian; Zhengxiao Du; Kaiyu Yang; Zihan Wang; Yisong Yue; Yuxiao Dong; Jie Tang 001 (NeurIPS, 2024)

ReST-MCTS*: LLM Self-Training via Process Reward Guided Tree Search. - Dan Zhang; Sining Zhoubian; Ziniu Hu; Yisong Yue; Yuxiao Dong; Jie Tang 001 (NeurIPS, 2024)

Thought Graph: Generating Thought Process for Biological Reasoning. - Chi-Yang Hsu; Kyle Cox; Jiawei Xu 006; Zhen Tan 001; Tianhua Zhai; Mengzhou Hu; Dexter Pratt; Tianlong Chen 001; Ziniu Hu; Ying Ding 001 (WWW (Companion Volume), 2024)

SciGLM: Training Scientific Language Models with Self-Reflective Instruction Annotation and Tuning. - Dan Zhang; Ziniu Hu; Sining Zhoubian; Zhengxiao Du; Kaiyu Yang; Zihan Wang; Yisong Yue; Yuxiao Dong; Jie Tang 001 (CoRR, 2024)

Can Large Language Model Agents Simulate Human Trust Behaviors? - Chengxing Xie; Canyu Chen; Feiran Jia; Ziyu Ye; Kai Shu; Adel Bibi; Ziniu Hu; Philip Torr 001; Bernard Ghanem; Guohao Li 001 (CoRR, 2024)

SceneCraft: An LLM Agent for Synthesizing 3D Scene as Blender Code. - Ziniu Hu; Ahmet Iscen; Aashi Jain; Thomas Kipf; Yisong Yue; David A. Ross; Cordelia Schmid; Alireza Fathi (CoRR, 2024)

Enhancing Large Vision Language Models with Self-Training on Image Comprehension. - Yihe Deng; Pan Lu; Fan Yin; Ziniu Hu; Sheng Shen 001; James Zou 001; Kai-Wei Chang; Wei Wang 010 (CoRR, 2024)

Self-Control of LLM Behaviors by Compressing Suffix Gradient into Prefix Controller. - Min Cai; Yuchen Zhang; Shichang Zhang; Fan Yin; Difan Zou; Yisong Yue; Ziniu Hu (CoRR, 2024)

MIRAI: Evaluating LLM Agents for Event Forecasting. - Chenchen Ye 001; Ziniu Hu; Yihe Deng; Zijie Huang 002; Mingyu Derek Ma; Yanqiao Zhu 001; Wei Wang 010 (CoRR, 2024)

Multi-Token Joint Speculative Decoding for Accelerating Large Language Model Inference. - Zongyue Qin; Ziniu Hu; Zifan He; Neha Prakriya; Jason Cong; Yizhou Sun (CoRR, 2024)

Dataset Distillation for Offline Reinforcement Learning. - Jonathan Light; Yuanzhe Liu 001; Ziniu Hu (CoRR, 2024)

Strategist: Learning Strategic Skills by LLMs via Bi-Level Tree Search. - Jonathan Light; Min Cai; Weiqin Chen 003; Guanzhi Wang; Xiusi Chen; Wei Cheng; Yisong Yue; Ziniu Hu (CoRR, 2024)

Scattered Forest Search: Smarter Code Space Exploration with LLMs. - Jonathan Light; Yue Wu; Yiyou Sun; Wenchao Yu; Yanchi Liu; Xujiang Zhao; Ziniu Hu; Haifeng Chen; Wei Cheng 002 (CoRR, 2024)

PIANIST: Learning Partially Observable World Models with LLMs for Multi-Agent Decision Making. - Jonathan Light; Sixue Xing; Yuanzhe Liu 001; Weiqin Chen 003; Min Cai; Xiusi Chen; Guanzhi Wang; Wei Cheng; Yisong Yue; Ziniu Hu (CoRR, 2024)

Motif-Driven Contrastive Learning of Graph Representations. - Shichang Zhang; Ziniu Hu; Arjun Subramonian; Yizhou Sun (IEEE Trans. Knowl. Data Eng., 2024)

Spatial-Dependent Robust Control Strategy for On-Ramp Merging. - Tianchuang Meng; Jin Huang 002; Ziniu Hu; Zeyu Yang 002; Ye-Hwa Chen; Diange Yang; Zhihua Zhong (IEEE Trans. Veh. Technol., 2024)

TreeRL: LLM Reinforcement Learning with On-Policy Tree Search. - Zhenyu Hou; Ziniu Hu; Yujiang Li; Rui Lu; Jie Tang 001; Yuxiao Dong (ACL (1), 2025)

Automated Molecular Concept Generation and Labeling with Large Language Models. - Zimin Zhang; Qianli Wu; Botao Xia; Fang Sun; Ziniu Hu; Yizhou Sun; Shichang Zhang (COLING, 2025)

Self-Evolving Visual Concept Library using Vision-Language Critics. - Atharva Sehgal; Patrick Yuan; Ziniu Hu; Yisong Yue; Jennifer J. Sun; Swarat Chaudhuri (CVPR, 2025)

Thought Graph: Balancing Specificity and Uncertainty in LLM-Based Gene Set Annotation. - Kyle Cox; Gang Qu; Chi-Yang Hsu; Jiawei Xu 006; Yingtong Zhou; Zhen Tan 001; Mengzhou Hu; Tianlong Chen 001; Ziniu Hu; Zhongming Zhao; Ying Ding 001 (ICHI, 2025)

Strategist: Self-improvement of LLM Decision Making via Bi-Level Tree Search. - Jonathan Light; Min Cai; Weiqin Chen 003; Guanzhi Wang; Xiusi Chen; Wei Cheng; Yisong Yue; Ziniu Hu (ICLR, 2025)

SFS: Smarter Code Space Search improves LLM Inference Scaling. - Jonathan Light; Yue Wu; Yiyou Sun; Wenchao Yu; Yanchi Liu; Xujiang Zhao; Ziniu Hu; Haifeng Chen; Wei Cheng 002 (ICLR, 2025)

Optimized Multi-Token Joint Decoding With Auxiliary Model for LLM Inference. - Zongyue Qin; Ziniu Hu; Zifan He; Neha Prakriya; Jason Cong; Yizhou Sun (ICLR, 2025)

QLASS: Boosting Language Agent Inference via Q-Guided Stepwise Search. - Zongyu Lin; Yao Tang; Xingcheng Yao; Da Yin; Ziniu Hu; Yizhou Sun; Kai-Wei Chang (CoRR, 2025)

DataSciBench: An LLM Agent Benchmark for Data Science. - Dan Zhang; Sining Zhoubian; Min Cai; Fengzu Li; Lekang Yang; Wei Wang 074; Tianjiao Dong; Ziniu Hu; Jie Tang 001; Yisong Yue (CoRR, 2025)