Yaohui Jin
Tenured Professor
Works on large language model enhancement and applications, AI for science and data governance architectures.
Yaohui Jin's lab at SJTU works on large language models, accelerators, chips & architecture and speech enhancement & signal processing. 46 papers since 2023, 25 at top venues, mostly ICASSP and AAAI. Applications close .
At a glance
- papers, 2023–2026
- 12/ year
- at T1 venues
- 54%
- PhD students
- —
- MS students
- —
- alumni listed
- —
Papers by yearfrom the lab homepage and DBLP, 2023–2026
- 7 papers2026 · T1 5 · collecting
- 16 papers2025 · T1 10
- 11 papers2024 · T1 3
- 12 papers2023 · T1 7
T1 venuesOtherVenues: ICASSP, AAAI, ICLR, ACL, EMNLP
Research focuspaper titles that use each topic's words
- Large language models14 papers
- Accelerators, chips & architecture0 papers
- Speech enhancement & signal processing0 papers
- data governance0 papers
- governance0 papers
Paper list
From the lab homepage and DBLP.
20267 papers
- J. CheminformaticsA general-purpose framework for chemical reaction representation with atomic correspondence and flexible condition adaptation (opens in a new tab)
- ACL (T1)ChemReason-Bench: Benchmarking Large Language Models for Procedural Reasoning in Experimental Chemistry (opens in a new tab)
- ICRA (T1)MM-TRELLIS: Point-Cloud Guided Multi-Modal 3D Vehicle Generation in Autonomous Driving (opens in a new tab)
- ECCV (T1)R3DP: Real-Time 3D-Aware Policy for Embodied Manipulation (opens in a new tab)
- ICLR (T1)Rethinking Reasoning in Document Ranking: Why Chain-of-Thought Falls Short (opens in a new tab)
- ICLR (T1)Tools are under-documented: Simple Document Expansion Boosts Tool Retrieval (opens in a new tab)
- Nat. Comput. Sci.Transferable human mobility network reconstruction with neuroGravity (opens in a new tab)
202516 papers
- Comput. Hum. Behav. Artif. HumansCan large language models exhibit cognitive and affective empathy as humans? (opens in a new tab)
- ACL (T1)ChemActor: Enhancing Automated Extraction of Chemical Synthesis Actions with LLM-Generated Data (opens in a new tab)
- ICCV (T1)Context Guided Transformer Entropy Modeling for Video Compression (opens in a new tab)
- CogSciEnhancing Objectivity in LLM-as-a-Judge through Perturbation Injection (opens in a new tab)
- ICASSP (T1)Faithful Self-Refinement in Mathematical Reasoning via Progressive Back-Translation (opens in a new tab)
- CogSciFD-Bench: Fine-Grained Evaluating the Decision-Making Capability of LLM Agents in Dynamic Scenarios (opens in a new tab)
- NAACL (T1)Forest for the Trees: Overarching Prompting Evokes High-Level Reasoning in Large Language Models (opens in a new tab)
- ICLR (T1)KinFormer: Generalizable Dynamical Symbolic Regression for Catalytic Organic Reaction Kinetics (opens in a new tab)
- Nature Machine Intelligence (T1)Large language models to accelerate organic chemistry synthesis
- ICASSP (T1)Look Before You Leap: Problem Elaboration Prompting Improves Mathematical Reasoning in Large Language Models (opens in a new tab)
- Findings of EMNLPMultiConIR: Towards Multi-Condition Information Retrieval (opens in a new tab)
- IEEE Internet Things J.Optimizing Resource Allocation and Energy Efficiency in Vehicle Mobile-Edge Computing With Blockchain Integration (opens in a new tab)
202411 papers
- NeurIPS (T1)AgentBoard: An Analytical Evaluation Board of Multi-turn LLM Agents (opens in a new tab)
- AAAI (T1)Can large language models serve as rational players in game theory? a systematic analysis
- ICASSP (T1)Comparable Demonstrations Are Important In In-Context Learning: A Novel Perspective On Demonstration Selection (opens in a new tab)
- IEEE Trans. Neural Networks Learn. Syst.Enhancing Unsupervised Anomaly Detection With Score-Guided Network (opens in a new tab)
- EPJ Data Sci.Human mobility prediction with causal and spatial-constrained multi-task network (opens in a new tab)
- IEEE Trans. Intell. Transp. Syst.Mitigating Bus Bunching via Hierarchical Multi-Agent Reinforcement Learning (opens in a new tab)
- IEEE Trans. Intell. Transp. Syst.PG² Net: Personalized and Group Preferences Guided Network for Next Place Prediction (opens in a new tab)
- CogSciSelf-Hint Prompting Improves Zero-shot Reasoning in Large Language Models via Reflective Cycle (opens in a new tab)
- J. CheminformaticsUalign: pushing the limit of template-free retrosynthesis prediction with unsupervised SMILES alignment (opens in a new tab)
- Expert Systems with ApplicationsUnlock the Potential of Counterfactually-Augmented Data in Out-Of-Distribution Generalization (opens in a new tab)
- Appl. Intell.User re-identification via human mobility trajectories with siamese transformer networks (opens in a new tab)
202312 papers
- Appl. Intell.Accurate use of label dependency in multi-label text classification through the lens of causality (opens in a new tab)
- EMNLP (T1)Chain-of-Thought Tuning: Masked Language Models can also Think Step By Step in Natural Language Understanding (opens in a new tab)
- Appl. Intell.Contrast with major classifier vectors for federated medical relation extraction with heterogeneous label distribution (opens in a new tab)
- IEEE Commun. Lett.Enhancing Network Performance Tomography in Software-Defined Cloud Network (opens in a new tab)
- ICASSP (T1)Improving the out-of-Distribution Generalization Capability of Language Models: Counterfactually-Augmented Data is not Enough (opens in a new tab)
- AAAI (T1)Latent Constraints on Unsupervised Text-Graph Alignment with Information Asymmetry (opens in a new tab)
- TKDE (T1)Learning Generative RNN-ODE for Collaborative Time-Series and Event Sequence Forecasting (opens in a new tab)
- TKDE (T1)Learning Robust Deep State Space for Unsupervised Anomaly Detection in Contaminated Time-Series (opens in a new tab)
- Mach. Intell. Res.Machine Learning Methods in Solving the Boolean Satisfiability Problem (opens in a new tab)
- Findings of ACLMTR: A Dataset Fusing Inductive, Deductive, and Defeasible Reasoning (opens in a new tab)
- AAAI (T1)Preference-Controlled Multi-Objective Reinforcement Learning for Conditional Text Generation (opens in a new tab)
- EMNLP (T1)Task-Level Thinking Steps Help Large Language Models for Challenging Classification Task (opens in a new tab)
Where alumni went
Alumni are not listed on the lab homepage.
Apply to SJTUFall 2027
Computer Science PhD (international applicants)
- Round
- Self-funded
- Opens
- —
- GRE
- See program page
- English
- See program page
- Fee
- See program page
Not yet confirmed for this intake.
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Data
Some numbers could not be verified:
- The member list could not be found on the lab site.
- The alumni list could not be found on the lab site.
- Collected
- Verified
- Papers
- The lab homepage and DBLP
- Members
- Not collected
- Alumni
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Tiers are venue classifications, not lab rankings.
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